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3 Commits
option-dis
...
prototype-
| Author | SHA1 | Date | |
|---|---|---|---|
| 579a96adc7 | |||
| e6ff45e3b9 | |||
| e4f8ee00c8 |
9
.github/ISSUE_TEMPLATE/sprint_issue.md
vendored
9
.github/ISSUE_TEMPLATE/sprint_issue.md
vendored
@ -2,13 +2,14 @@
|
||||
name: New sprint issue
|
||||
about: ⚠️ Should only be used by the engine team ⚠️
|
||||
title: ''
|
||||
labels: 'missing usage in PRD, impacts docs'
|
||||
labels: ''
|
||||
assignees: ''
|
||||
|
||||
---
|
||||
|
||||
Related product team resources: [PRD]() (_internal only_)
|
||||
Related product discussion:
|
||||
Related spec: WIP
|
||||
|
||||
## Motivation
|
||||
|
||||
@ -20,7 +21,11 @@ Related product discussion:
|
||||
|
||||
## TODO
|
||||
|
||||
<!---If necessary, create a list with technical/product steps-->
|
||||
<!---Feel free to adapt this list with more technical/product steps-->
|
||||
|
||||
- [ ] Release a prototype
|
||||
- [ ] If prototype validated, merge changes into `main`
|
||||
- [ ] Update the spec
|
||||
|
||||
### Reminders when modifying the Setting API
|
||||
|
||||
|
||||
9
.github/workflows/bench-pr.yml
vendored
9
.github/workflows/bench-pr.yml
vendored
@ -43,11 +43,4 @@ jobs:
|
||||
|
||||
- name: Run benchmarks on PR ${{ github.event.issue.id }}
|
||||
run: |
|
||||
cargo xtask bench --api-key "${{ secrets.BENCHMARK_API_KEY }}" \
|
||||
--dashboard-url "${{ vars.BENCHMARK_DASHBOARD_URL }}" \
|
||||
--reason "[Comment](${{ github.event.comment.html_url }}) on [#${{ github.event.issue.number }}](${{ github.event.issue.html_url }})" \
|
||||
-- ${{ steps.command.outputs.command-arguments }} > benchlinks.txt
|
||||
|
||||
- name: Send comment in PR
|
||||
run: |
|
||||
gh pr comment ${{github.event.issue.number}} --body-file benchlinks.txt
|
||||
cargo xtask bench --api-key "${{ secrets.BENCHMARK_API_KEY }}" --dashboard-url "${{ vars.BENCHMARK_DASHBOARD_URL }}" --reason "[Comment](${{ github.event.comment.url }}) on [#${{github.event.issue.id}}](${{ github.event.issue.url }})" -- ${{ steps.command.outputs.command-arguments }}
|
||||
2
.github/workflows/flaky-tests.yml
vendored
2
.github/workflows/flaky-tests.yml
vendored
@ -1,6 +1,4 @@
|
||||
name: Look for flaky tests
|
||||
env:
|
||||
ACTIONS_ALLOW_USE_UNSECURE_NODE_VERSION: true
|
||||
on:
|
||||
workflow_dispatch:
|
||||
schedule:
|
||||
|
||||
3
.github/workflows/fuzzer-indexing.yml
vendored
3
.github/workflows/fuzzer-indexing.yml
vendored
@ -1,6 +1,5 @@
|
||||
name: Run the indexing fuzzer
|
||||
env:
|
||||
ACTIONS_ALLOW_USE_UNSECURE_NODE_VERSION: true
|
||||
|
||||
on:
|
||||
push:
|
||||
branches:
|
||||
|
||||
38
.github/workflows/milestone-workflow.yml
vendored
38
.github/workflows/milestone-workflow.yml
vendored
@ -110,44 +110,6 @@ jobs:
|
||||
--milestone $MILESTONE_VERSION \
|
||||
--assignee curquiza
|
||||
|
||||
create-update-version-issue:
|
||||
needs: get-release-version
|
||||
# Create the update-version issue even if the release is a patch release
|
||||
if: github.event.action == 'created'
|
||||
runs-on: ubuntu-latest
|
||||
env:
|
||||
ISSUE_TEMPLATE: issue-template.md
|
||||
steps:
|
||||
- uses: actions/checkout@v3
|
||||
- name: Download the issue template
|
||||
run: curl -s https://raw.githubusercontent.com/meilisearch/engine-team/main/issue-templates/update-version-issue.md > $ISSUE_TEMPLATE
|
||||
- name: Create the issue
|
||||
run: |
|
||||
gh issue create \
|
||||
--title "Update version in Cargo.toml for $MILESTONE_VERSION" \
|
||||
--label 'maintenance' \
|
||||
--body-file $ISSUE_TEMPLATE \
|
||||
--milestone $MILESTONE_VERSION
|
||||
|
||||
create-update-openapi-issue:
|
||||
needs: get-release-version
|
||||
# Create the openAPI issue if the release is not only a patch release
|
||||
if: github.event.action == 'created' && needs.get-release-version.outputs.is-patch == 'false'
|
||||
runs-on: ubuntu-latest
|
||||
env:
|
||||
ISSUE_TEMPLATE: issue-template.md
|
||||
steps:
|
||||
- uses: actions/checkout@v3
|
||||
- name: Download the issue template
|
||||
run: curl -s https://raw.githubusercontent.com/meilisearch/engine-team/main/issue-templates/update-openapi-issue.md > $ISSUE_TEMPLATE
|
||||
- name: Create the issue
|
||||
run: |
|
||||
gh issue create \
|
||||
--title "Update Open API file for $MILESTONE_VERSION" \
|
||||
--label 'maintenance' \
|
||||
--body-file $ISSUE_TEMPLATE \
|
||||
--milestone $MILESTONE_VERSION
|
||||
|
||||
# ----------------
|
||||
# MILESTONE CLOSED
|
||||
# ----------------
|
||||
|
||||
2
.github/workflows/publish-apt-brew-pkg.yml
vendored
2
.github/workflows/publish-apt-brew-pkg.yml
vendored
@ -15,8 +15,6 @@ jobs:
|
||||
|
||||
debian:
|
||||
name: Publish debian packagge
|
||||
env:
|
||||
ACTIONS_ALLOW_USE_UNSECURE_NODE_VERSION: true
|
||||
runs-on: ubuntu-latest
|
||||
needs: check-version
|
||||
container:
|
||||
|
||||
4
.github/workflows/publish-binaries.yml
vendored
4
.github/workflows/publish-binaries.yml
vendored
@ -35,8 +35,6 @@ jobs:
|
||||
publish-linux:
|
||||
name: Publish binary for Linux
|
||||
runs-on: ubuntu-latest
|
||||
env:
|
||||
ACTIONS_ALLOW_USE_UNSECURE_NODE_VERSION: true
|
||||
needs: check-version
|
||||
container:
|
||||
# Use ubuntu-18.04 to compile with glibc 2.27
|
||||
@ -134,8 +132,6 @@ jobs:
|
||||
name: Publish binary for aarch64
|
||||
runs-on: ubuntu-latest
|
||||
needs: check-version
|
||||
env:
|
||||
ACTIONS_ALLOW_USE_UNSECURE_NODE_VERSION: true
|
||||
container:
|
||||
# Use ubuntu-18.04 to compile with glibc 2.27
|
||||
image: ubuntu:18.04
|
||||
|
||||
10
.github/workflows/test-suite.yml
vendored
10
.github/workflows/test-suite.yml
vendored
@ -21,8 +21,6 @@ jobs:
|
||||
test-linux:
|
||||
name: Tests on ubuntu-18.04
|
||||
runs-on: ubuntu-latest
|
||||
env:
|
||||
ACTIONS_ALLOW_USE_UNSECURE_NODE_VERSION: true
|
||||
container:
|
||||
# Use ubuntu-18.04 to compile with glibc 2.27, which are the production expectations
|
||||
image: ubuntu:18.04
|
||||
@ -79,8 +77,6 @@ jobs:
|
||||
test-all-features:
|
||||
name: Tests almost all features
|
||||
runs-on: ubuntu-latest
|
||||
env:
|
||||
ACTIONS_ALLOW_USE_UNSECURE_NODE_VERSION: true
|
||||
container:
|
||||
# Use ubuntu-18.04 to compile with glibc 2.27, which are the production expectations
|
||||
image: ubuntu:18.04
|
||||
@ -104,8 +100,6 @@ jobs:
|
||||
|
||||
test-disabled-tokenization:
|
||||
name: Test disabled tokenization
|
||||
env:
|
||||
ACTIONS_ALLOW_USE_UNSECURE_NODE_VERSION: true
|
||||
runs-on: ubuntu-latest
|
||||
container:
|
||||
image: ubuntu:18.04
|
||||
@ -122,7 +116,7 @@ jobs:
|
||||
override: true
|
||||
- name: Run cargo tree without default features and check lindera is not present
|
||||
run: |
|
||||
if cargo tree -f '{p} {f}' -e normal --no-default-features | grep -qz lindera; then
|
||||
if cargo tree -f '{p} {f}' -e normal --no-default-features | grep -vqz lindera; then
|
||||
echo "lindera has been found in the sources and it shouldn't"
|
||||
exit 1
|
||||
fi
|
||||
@ -133,8 +127,6 @@ jobs:
|
||||
# We run tests in debug also, to make sure that the debug_assertions are hit
|
||||
test-debug:
|
||||
name: Run tests in debug
|
||||
env:
|
||||
ACTIONS_ALLOW_USE_UNSECURE_NODE_VERSION: true
|
||||
runs-on: ubuntu-latest
|
||||
container:
|
||||
# Use ubuntu-18.04 to compile with glibc 2.27, which are the production expectations
|
||||
|
||||
365
BENCHMARKS.md
365
BENCHMARKS.md
@ -1,365 +0,0 @@
|
||||
# Benchmarks
|
||||
|
||||
Currently this repository hosts two kinds of benchmarks:
|
||||
|
||||
1. The older "milli benchmarks", that use [criterion](https://github.com/bheisler/criterion.rs) and live in the "benchmarks" directory.
|
||||
2. The newer "bench" that are workload-based and so split between the [`workloads`](./workloads/) directory and the [`xtask::bench`](./xtask/src/bench/) module.
|
||||
|
||||
This document describes the newer "bench" benchmarks. For more details on the "milli benchmarks", see [benchmarks/README.md](./benchmarks/README.md).
|
||||
|
||||
## Design philosophy for the benchmarks
|
||||
|
||||
The newer "bench" benchmarks are **integration** benchmarks, in the sense that they spawn an actual Meilisearch server and measure its performance end-to-end, including HTTP request overhead.
|
||||
|
||||
Since this is prone to fluctuating, the benchmarks regain a bit of precision by measuring the runtime of the individual spans using the [logging machinery](./CONTRIBUTING.md#logging) of Meilisearch.
|
||||
|
||||
A span roughly translates to a function call. The benchmark runner collects all the spans by name using the [logs route](https://github.com/orgs/meilisearch/discussions/721) and sums their runtime. The processed results are then sent to the [benchmark dashboard](https://bench.meilisearch.dev), which is in charge of storing and presenting the data.
|
||||
|
||||
## Running the benchmarks
|
||||
|
||||
Benchmarks can run locally or in CI.
|
||||
|
||||
### Locally
|
||||
|
||||
#### With a local benchmark dashboard
|
||||
|
||||
The benchmarks dashboard lives in its [own repository](https://github.com/meilisearch/benchboard). We provide binaries for Ubuntu/Debian, but you can build from source for other platforms (MacOS should work as it was developed under that platform).
|
||||
|
||||
Run the `benchboard` binary to create a fresh database of results. By default it will serve the results and the API to gather results on `http://localhost:9001`.
|
||||
|
||||
From the Meilisearch repository, you can then run benchmarks with:
|
||||
|
||||
```sh
|
||||
cargo xtask bench -- workloads/my_workload_1.json ..
|
||||
```
|
||||
|
||||
This command will build and run Meilisearch locally on port 7700, so make sure that this port is available.
|
||||
To run benchmarks on a different commit, just use the usual git command to get back to the desired commit.
|
||||
|
||||
#### Without a local benchmark dashboard
|
||||
|
||||
To work with the raw results, you can also skip using a local benchmark dashboard.
|
||||
|
||||
Run:
|
||||
|
||||
```sh
|
||||
cargo xtask bench --no-dashboard -- workloads/my_workload_1.json workloads/my_workload_2.json ..
|
||||
```
|
||||
|
||||
For processing the results, look at [Looking at benchmark results/Without dashboard](#without-dashboard).
|
||||
|
||||
### In CI
|
||||
|
||||
We have dedicated runners to run workloads on CI. Currently, there are three ways of running the CI:
|
||||
|
||||
1. Automatically, on every push to `main`.
|
||||
2. Manually, by clicking the [`Run workflow`](https://github.com/meilisearch/meilisearch/actions/workflows/bench-manual.yml) button and specifying the target reference (tag, commit or branch) as well as one or multiple workloads to run. The workloads must exist in the Meilisearch repository (conventionally, in the [`workloads`](./workloads/) directory) on the target reference. Globbing (e.g., `workloads/*.json`) works.
|
||||
3. Manually on a PR, by posting a comment containing a `/bench` command, followed by one or multiple workloads to run. Globbing works. The workloads must exist in the Meilisearch repository in the branch of the PR.
|
||||
```
|
||||
/bench workloads/movies*.json /hackernews_1M.json
|
||||
```
|
||||
|
||||
## Looking at benchmark results
|
||||
|
||||
### On the dashboard
|
||||
|
||||
Results are available on the global dashboard used by CI at <https://bench.meilisearch.dev> or on your [local dashboard](#with-a-local-benchmark-dashboard).
|
||||
|
||||
The dashboard homepage presents three sections:
|
||||
|
||||
1. The latest invocations (a call to `cargo xtask bench`, either local or by CI) with their reason (generally set to some helpful link in CI) and their status.
|
||||
2. The latest workloads ran on `main`.
|
||||
3. The latest workloads ran on other references.
|
||||
|
||||
By default, the workload shows the total runtime delta with the latest applicable commit on `main`. The latest applicable commit is the latest commit for workload invocations that do not originate on `main`, and the latest previous commit for workload invocations that originate on `main`.
|
||||
|
||||
You can explicitly request a detailed comparison by span with the `main` branch, the branch or origin, or any previous commit, by clicking the links at the bottom of the workload invocation.
|
||||
|
||||
In the detailed comparison view, the spans are sorted by improvements, regressions, stable (no statistically significant change) and unstable (the span runtime is comparable to its standard deviation).
|
||||
|
||||
You can click on the name of any span to get a box plot comparing the target commit with multiple commits of the selected branch.
|
||||
|
||||
### Without dashboard
|
||||
|
||||
After the workloads are done running, the reports will live in the Meilisearch repository, in the `bench/reports` directory (by default).
|
||||
|
||||
You can then convert these reports into other formats.
|
||||
|
||||
- To [Firefox profiler](https://profiler.firefox.com) format. Run:
|
||||
```sh
|
||||
cd bench/reports
|
||||
cargo run --release --bin trace-to-firefox -- my_workload_1-0-trace.json
|
||||
```
|
||||
You can then upload the resulting `firefox-my_workload_1-0-trace.json` file to the online profiler.
|
||||
|
||||
|
||||
## Designing benchmark workloads
|
||||
|
||||
Benchmark workloads conventionally live in the `workloads` directory of the Meilisearch repository.
|
||||
|
||||
They are JSON files with the following structure (comments are not actually supported, to make your own, remove them or copy some existing workload file):
|
||||
|
||||
```jsonc
|
||||
{
|
||||
// Name of the workload. Must be unique to the workload, as it will be used to group results on the dashboard.
|
||||
"name": "hackernews.ndjson_1M,no-threads",
|
||||
// Number of consecutive runs of the commands that should be performed.
|
||||
// Each run uses a fresh instance of Meilisearch and a fresh database.
|
||||
// Each run produces its own report file.
|
||||
"run_count": 3,
|
||||
// List of arguments to add to the Meilisearch command line.
|
||||
"extra_cli_args": ["--max-indexing-threads=1"],
|
||||
// List of named assets that can be used in the commands.
|
||||
"assets": {
|
||||
// name of the asset.
|
||||
// Must be unique at the workload level.
|
||||
// For better results, the same asset (same sha256) should have the same name accross workloads.
|
||||
// Having multiple assets with the same name and distinct hashes is supported accross workloads,
|
||||
// but will lead to superfluous downloads.
|
||||
//
|
||||
// Assets are stored in the `bench/assets/` directory by default.
|
||||
"hackernews-100_000.ndjson": {
|
||||
// If the assets exists in the local filesystem (Meilisearch repository or for your local workloads)
|
||||
// Its file path can be specified here.
|
||||
// `null` if the asset should be downloaded from a remote location.
|
||||
"local_location": null,
|
||||
// URL of the remote location where the asset can be downloaded.
|
||||
// Use the `--assets-key` of the runner to pass an API key in the `Authorization: Bearer` header of the download requests.
|
||||
// `null` if the asset should be imported from a local location.
|
||||
// if both local and remote locations are specified, then the local one is tried first, then the remote one
|
||||
// if the file is locally missing or its hash differs.
|
||||
"remote_location": "https://milli-benchmarks.fra1.digitaloceanspaces.com/bench/datasets/hackernews/hackernews-100_000.ndjson",
|
||||
// SHA256 of the asset.
|
||||
// Optional, the `sha256` of the asset will be displayed during a run of the workload if it is missing.
|
||||
// If present, the hash of the asset in the `bench/assets/` directory will be compared against this hash before
|
||||
// running the workload. If the hashes differ, the asset will be downloaded anew.
|
||||
"sha256": "60ecd23485d560edbd90d9ca31f0e6dba1455422f2a44e402600fbb5f7f1b213",
|
||||
// Optional, one of "Auto", "Json", "NdJson" or "Raw".
|
||||
// If missing, assumed to be "Auto".
|
||||
// If "Auto", the format will be determined from the extension in the asset name.
|
||||
"format": "NdJson"
|
||||
},
|
||||
"hackernews-200_000.ndjson": {
|
||||
"local_location": null,
|
||||
"remote_location": "https://milli-benchmarks.fra1.digitaloceanspaces.com/bench/datasets/hackernews/hackernews-200_000.ndjson",
|
||||
"sha256": "785b0271fdb47cba574fab617d5d332276b835c05dd86e4a95251cf7892a1685"
|
||||
},
|
||||
"hackernews-300_000.ndjson": {
|
||||
"local_location": null,
|
||||
"remote_location": "https://milli-benchmarks.fra1.digitaloceanspaces.com/bench/datasets/hackernews/hackernews-300_000.ndjson",
|
||||
"sha256": "de73c7154652eddfaf69cdc3b2f824d5c452f095f40a20a1c97bb1b5c4d80ab2"
|
||||
},
|
||||
"hackernews-400_000.ndjson": {
|
||||
"local_location": null,
|
||||
"remote_location": "https://milli-benchmarks.fra1.digitaloceanspaces.com/bench/datasets/hackernews/hackernews-400_000.ndjson",
|
||||
"sha256": "c1b00a24689110f366447e434c201c086d6f456d54ed1c4995894102794d8fe7"
|
||||
},
|
||||
"hackernews-500_000.ndjson": {
|
||||
"local_location": null,
|
||||
"remote_location": "https://milli-benchmarks.fra1.digitaloceanspaces.com/bench/datasets/hackernews/hackernews-500_000.ndjson",
|
||||
"sha256": "ae98f9dbef8193d750e3e2dbb6a91648941a1edca5f6e82c143e7996f4840083"
|
||||
},
|
||||
"hackernews-600_000.ndjson": {
|
||||
"local_location": null,
|
||||
"remote_location": "https://milli-benchmarks.fra1.digitaloceanspaces.com/bench/datasets/hackernews/hackernews-600_000.ndjson",
|
||||
"sha256": "b495fdc72c4a944801f786400f22076ab99186bee9699f67cbab2f21f5b74dbe"
|
||||
},
|
||||
"hackernews-700_000.ndjson": {
|
||||
"local_location": null,
|
||||
"remote_location": "https://milli-benchmarks.fra1.digitaloceanspaces.com/bench/datasets/hackernews/hackernews-700_000.ndjson",
|
||||
"sha256": "4b2c63974f3dabaa4954e3d4598b48324d03c522321ac05b0d583f36cb78a28b"
|
||||
},
|
||||
"hackernews-800_000.ndjson": {
|
||||
"local_location": null,
|
||||
"remote_location": "https://milli-benchmarks.fra1.digitaloceanspaces.com/bench/datasets/hackernews/hackernews-800_000.ndjson",
|
||||
"sha256": "cb7b6afe0e6caa1be111be256821bc63b0771b2a0e1fad95af7aaeeffd7ba546"
|
||||
},
|
||||
"hackernews-900_000.ndjson": {
|
||||
"local_location": null,
|
||||
"remote_location": "https://milli-benchmarks.fra1.digitaloceanspaces.com/bench/datasets/hackernews/hackernews-900_000.ndjson",
|
||||
"sha256": "e1154ddcd398f1c867758a93db5bcb21a07b9e55530c188a2917fdef332d3ba9"
|
||||
},
|
||||
"hackernews-1_000_000.ndjson": {
|
||||
"local_location": null,
|
||||
"remote_location": "https://milli-benchmarks.fra1.digitaloceanspaces.com/bench/datasets/hackernews/hackernews-1_000_000.ndjson",
|
||||
"sha256": "27e25efd0b68b159b8b21350d9af76938710cb29ce0393fa71b41c4f3c630ffe"
|
||||
}
|
||||
},
|
||||
// Core of the workload.
|
||||
// A list of commands to run sequentially.
|
||||
// Optional: A precommand is a request to the Meilisearch instance that is executed before the profiling runs.
|
||||
"precommands": [
|
||||
{
|
||||
// Meilisearch route to call. `http://localhost:7700/` will be prepended.
|
||||
"route": "indexes/movies/settings",
|
||||
// HTTP method to call.
|
||||
"method": "PATCH",
|
||||
// If applicable, body of the request.
|
||||
// Optional, if missing, the body will be empty.
|
||||
"body": {
|
||||
// One of "empty", "inline" or "asset".
|
||||
// If using "empty", you can skip the entire "body" key.
|
||||
"inline": {
|
||||
// when "inline" is used, the body is the JSON object that is the value of the `"inline"` key.
|
||||
"displayedAttributes": [
|
||||
"title",
|
||||
"by",
|
||||
"score",
|
||||
"time"
|
||||
],
|
||||
"searchableAttributes": [
|
||||
"title"
|
||||
],
|
||||
"filterableAttributes": [
|
||||
"by"
|
||||
],
|
||||
"sortableAttributes": [
|
||||
"score",
|
||||
"time"
|
||||
]
|
||||
}
|
||||
},
|
||||
// Whether to wait before running the next request.
|
||||
// One of:
|
||||
// - DontWait: run the next command without waiting the response to this one.
|
||||
// - WaitForResponse: run the next command as soon as the response from the server is received.
|
||||
// - WaitForTask: run the next command once **all** the Meilisearch tasks created up to now have finished processing.
|
||||
"synchronous": "WaitForTask"
|
||||
}
|
||||
],
|
||||
// A command is a request to the Meilisearch instance that is executed while the profiling runs.
|
||||
"commands": [
|
||||
{
|
||||
"route": "indexes/movies/documents",
|
||||
"method": "POST",
|
||||
"body": {
|
||||
// When using "asset", use the name of an asset as value to use the content of that asset as body.
|
||||
// the content type is derived of the format of the asset:
|
||||
// "NdJson" => "application/x-ndjson"
|
||||
// "Json" => "application/json"
|
||||
// "Raw" => "application/octet-stream"
|
||||
// See [AssetFormat::to_content_type](https://github.com/meilisearch/meilisearch/blob/7b670a4afadb132ac4a01b6403108700501a391d/xtask/src/bench/assets.rs#L30)
|
||||
// for details and up-to-date list.
|
||||
"asset": "hackernews-100_000.ndjson"
|
||||
},
|
||||
"synchronous": "WaitForTask"
|
||||
},
|
||||
{
|
||||
"route": "indexes/movies/documents",
|
||||
"method": "POST",
|
||||
"body": {
|
||||
"asset": "hackernews-200_000.ndjson"
|
||||
},
|
||||
"synchronous": "WaitForResponse"
|
||||
},
|
||||
{
|
||||
"route": "indexes/movies/documents",
|
||||
"method": "POST",
|
||||
"body": {
|
||||
"asset": "hackernews-300_000.ndjson"
|
||||
},
|
||||
"synchronous": "WaitForResponse"
|
||||
},
|
||||
{
|
||||
"route": "indexes/movies/documents",
|
||||
"method": "POST",
|
||||
"body": {
|
||||
"asset": "hackernews-400_000.ndjson"
|
||||
},
|
||||
"synchronous": "WaitForResponse"
|
||||
},
|
||||
{
|
||||
"route": "indexes/movies/documents",
|
||||
"method": "POST",
|
||||
"body": {
|
||||
"asset": "hackernews-500_000.ndjson"
|
||||
},
|
||||
"synchronous": "WaitForResponse"
|
||||
},
|
||||
{
|
||||
"route": "indexes/movies/documents",
|
||||
"method": "POST",
|
||||
"body": {
|
||||
"asset": "hackernews-600_000.ndjson"
|
||||
},
|
||||
"synchronous": "WaitForResponse"
|
||||
},
|
||||
{
|
||||
"route": "indexes/movies/documents",
|
||||
"method": "POST",
|
||||
"body": {
|
||||
"asset": "hackernews-700_000.ndjson"
|
||||
},
|
||||
"synchronous": "WaitForResponse"
|
||||
},
|
||||
{
|
||||
"route": "indexes/movies/documents",
|
||||
"method": "POST",
|
||||
"body": {
|
||||
"asset": "hackernews-800_000.ndjson"
|
||||
},
|
||||
"synchronous": "WaitForResponse"
|
||||
},
|
||||
{
|
||||
"route": "indexes/movies/documents",
|
||||
"method": "POST",
|
||||
"body": {
|
||||
"asset": "hackernews-900_000.ndjson"
|
||||
},
|
||||
"synchronous": "WaitForResponse"
|
||||
},
|
||||
{
|
||||
"route": "indexes/movies/documents",
|
||||
"method": "POST",
|
||||
"body": {
|
||||
"asset": "hackernews-1_000_000.ndjson"
|
||||
},
|
||||
"synchronous": "WaitForTask"
|
||||
}
|
||||
]
|
||||
}
|
||||
```
|
||||
|
||||
### Adding new assets
|
||||
|
||||
Assets reside in our DigitalOcean S3 space. Assuming you have team access to the DigitalOcean S3 space:
|
||||
|
||||
1. go to <https://cloud.digitalocean.com/spaces/milli-benchmarks?i=d1c552&path=bench%2Fdatasets%2F>
|
||||
2. upload your dataset:
|
||||
1. if your dataset is a single file, upload that single file using the "upload" button,
|
||||
2. otherwise, create a folder using the "create folder" button, then inside that folder upload your individual files.
|
||||
|
||||
## Upgrading `https://bench.meilisearch.dev`
|
||||
|
||||
The URL of the server is in our password manager (look for "benchboard").
|
||||
|
||||
1. Make the needed modifications on the [benchboard repository](https://github.com/meilisearch/benchboard) and merge them to main.
|
||||
2. Publish a new release to produce the Ubuntu/Debian binary.
|
||||
3. Download the binary locally, send it to the server:
|
||||
```
|
||||
scp -6 ~/Downloads/benchboard root@\[<ipv6-address>\]:/bench/new-benchboard
|
||||
```
|
||||
Note that the ipv6 must be between escaped square brackets for SCP.
|
||||
4. SSH to the server:
|
||||
```
|
||||
ssh root@<ipv6-address>
|
||||
```
|
||||
Note the ipv6 must **NOT** be between escaped square brackets for SSH 🥲
|
||||
5. On the server, set the correct permissions for the new binary:
|
||||
```
|
||||
chown bench:bench /bench/new-benchboard
|
||||
chmod 700 /bench/new-benchboard
|
||||
```
|
||||
6. On the server, move the new binary to the location of the running binary (if unsure, start by making a backup of the running binary):
|
||||
```
|
||||
mv /bench/{new-,}benchboard
|
||||
```
|
||||
7. Restart the benchboard service.
|
||||
```
|
||||
systemctl restart benchboard
|
||||
```
|
||||
8. Check that the service runs correctly.
|
||||
```
|
||||
systemctl status benchboard
|
||||
```
|
||||
9. Check the availability of the service by going to <https://bench.meilisearch.dev> on your browser.
|
||||
@ -4,7 +4,7 @@ First, thank you for contributing to Meilisearch! The goal of this document is t
|
||||
|
||||
Remember that there are many ways to contribute other than writing code: writing [tutorials or blog posts](https://github.com/meilisearch/awesome-meilisearch), improving [the documentation](https://github.com/meilisearch/documentation), submitting [bug reports](https://github.com/meilisearch/meilisearch/issues/new?assignees=&labels=&template=bug_report.md&title=) and [feature requests](https://github.com/meilisearch/product/discussions/categories/feedback-feature-proposal)...
|
||||
|
||||
Meilisearch can manage multiple indexes, handle the update store, and expose an HTTP API. Search and indexation are the domain of our core engine, [`milli`](https://github.com/meilisearch/meilisearch/tree/main/milli), while tokenization is handled by [our `charabia` library](https://github.com/meilisearch/charabia/).
|
||||
The code in this repository is only concerned with managing multiple indexes, handling the update store, and exposing an HTTP API. Search and indexation are the domain of our core engine, [`milli`](https://github.com/meilisearch/milli), while tokenization is handled by [our `charabia` library](https://github.com/meilisearch/charabia/).
|
||||
|
||||
If Meilisearch does not offer optimized support for your language, please consider contributing to `charabia` by following the [CONTRIBUTING.md file](https://github.com/meilisearch/charabia/blob/main/CONTRIBUTING.md) and integrating your intended normalizer/segmenter.
|
||||
|
||||
@ -81,30 +81,6 @@ Meilisearch follows the [cargo xtask](https://github.com/matklad/cargo-xtask) wo
|
||||
|
||||
Run `cargo xtask --help` from the root of the repository to find out what is available.
|
||||
|
||||
### Logging
|
||||
|
||||
Meilisearch uses [`tracing`](https://lib.rs/crates/tracing) for logging purposes. Tracing logs are structured and can be displayed as JSON to the end user, so prefer passing arguments as fields rather than interpolating them in the message.
|
||||
|
||||
Refer to the [documentation](https://docs.rs/tracing/0.1.40/tracing/index.html#using-the-macros) for the syntax of the spans and events.
|
||||
|
||||
Logging spans are used for 3 distinct purposes:
|
||||
|
||||
1. Regular logging
|
||||
2. Profiling
|
||||
3. Benchmarking
|
||||
|
||||
As a result, the spans should follow some rules:
|
||||
|
||||
- They should not be put on functions that are called too often. That is because opening and closing a span causes some overhead. For regular logging, avoid putting spans on functions that are taking less than a few hundred nanoseconds. For profiling or benchmarking, avoid putting spans on functions that are taking less than a few microseconds.
|
||||
- For profiling and benchmarking, use the `TRACE` level.
|
||||
- For profiling and benchmarking, use the following `target` prefixes:
|
||||
- `indexing::` for spans meant when profiling the indexing operations.
|
||||
- `search::` for spans meant when profiling the search operations.
|
||||
|
||||
### Benchmarking
|
||||
|
||||
See [BENCHMARKS.md](./BENCHMARKS.md)
|
||||
|
||||
## Git Guidelines
|
||||
|
||||
### Git Branches
|
||||
|
||||
1276
Cargo.lock
generated
1276
Cargo.lock
generated
File diff suppressed because it is too large
Load Diff
@ -17,12 +17,11 @@ members = [
|
||||
"benchmarks",
|
||||
"fuzzers",
|
||||
"tracing-trace",
|
||||
"xtask",
|
||||
"build-info",
|
||||
"xtask", "build-info",
|
||||
]
|
||||
|
||||
[workspace.package]
|
||||
version = "1.9.1"
|
||||
version = "1.7.1"
|
||||
authors = [
|
||||
"Quentin de Quelen <quentin@dequelen.me>",
|
||||
"Clément Renault <clement@meilisearch.com>",
|
||||
|
||||
16
README.md
16
README.md
@ -25,7 +25,7 @@
|
||||
|
||||
<p align="center">⚡ A lightning-fast search engine that fits effortlessly into your apps, websites, and workflow 🔍</p>
|
||||
|
||||
[Meilisearch](https://www.meilisearch.com) helps you shape a delightful search experience in a snap, offering features that work out of the box to speed up your workflow.
|
||||
Meilisearch helps you shape a delightful search experience in a snap, offering features that work out-of-the-box to speed up your workflow.
|
||||
|
||||
<p align="center" name="demo">
|
||||
<a href="https://where2watch.meilisearch.com/?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=demo-gif#gh-light-mode-only" target="_blank">
|
||||
@ -39,8 +39,8 @@
|
||||
🔥 [**Try it!**](https://where2watch.meilisearch.com/?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=demo-link) 🔥
|
||||
|
||||
## ✨ Features
|
||||
- **Hybrid search:** Combine the best of both [semantic](https://www.meilisearch.com/docs/learn/experimental/vector_search) & full-text search to get the most relevant results
|
||||
- **Search-as-you-type:** find & display results in less than 50 milliseconds to provide an intuitive experience
|
||||
|
||||
- **Search-as-you-type:** find search results in less than 50 milliseconds
|
||||
- **[Typo tolerance](https://www.meilisearch.com/docs/learn/configuration/typo_tolerance?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=features):** get relevant matches even when queries contain typos and misspellings
|
||||
- **[Filtering](https://www.meilisearch.com/docs/learn/fine_tuning_results/filtering?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=features) and [faceted search](https://www.meilisearch.com/docs/learn/fine_tuning_results/faceted_search?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=features):** enhance your users' search experience with custom filters and build a faceted search interface in a few lines of code
|
||||
- **[Sorting](https://www.meilisearch.com/docs/learn/fine_tuning_results/sorting?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=features):** sort results based on price, date, or pretty much anything else your users need
|
||||
@ -55,15 +55,15 @@
|
||||
|
||||
## đź“– Documentation
|
||||
|
||||
You can consult Meilisearch's documentation at [meilisearch.com/docs](https://www.meilisearch.com/docs/?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=docs).
|
||||
You can consult Meilisearch's documentation at [https://www.meilisearch.com/docs](https://www.meilisearch.com/docs/?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=docs).
|
||||
|
||||
## 🚀 Getting started
|
||||
|
||||
For basic instructions on how to set up Meilisearch, add documents to an index, and search for documents, take a look at our [Quick Start](https://www.meilisearch.com/docs/learn/getting_started/quick_start?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=get-started) guide.
|
||||
|
||||
## 🌍 Supercharge your Meilisearch experience
|
||||
## ⚡ Supercharge your Meilisearch experience
|
||||
|
||||
Say goodbye to server deployment and manual updates with [Meilisearch Cloud](https://www.meilisearch.com/cloud?utm_campaign=oss&utm_source=github&utm_medium=meilisearch). Additional features include analytics & monitoring in many regions around the world. No credit card is required.
|
||||
Say goodbye to server deployment and manual updates with [Meilisearch Cloud](https://www.meilisearch.com/cloud?utm_campaign=oss&utm_source=github&utm_medium=meilisearch). No credit card required.
|
||||
|
||||
## 🧰 SDKs & integration tools
|
||||
|
||||
@ -85,13 +85,13 @@ Finally, for more in-depth information, refer to our articles explaining fundame
|
||||
|
||||
Meilisearch collects **anonymized** data from users to help us improve our product. You can [deactivate this](https://www.meilisearch.com/docs/learn/what_is_meilisearch/telemetry?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=telemetry#how-to-disable-data-collection) whenever you want.
|
||||
|
||||
To request deletion of collected data, please write to us at [privacy@meilisearch.com](mailto:privacy@meilisearch.com). Remember to include your `Instance UID` in the message, as this helps us quickly find and delete your data.
|
||||
To request deletion of collected data, please write to us at [privacy@meilisearch.com](mailto:privacy@meilisearch.com). Don't forget to include your `Instance UID` in the message, as this helps us quickly find and delete your data.
|
||||
|
||||
If you want to know more about the kind of data we collect and what we use it for, check the [telemetry section](https://www.meilisearch.com/docs/learn/what_is_meilisearch/telemetry?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=telemetry#how-to-disable-data-collection) of our documentation.
|
||||
|
||||
## đź“« Get in touch!
|
||||
|
||||
Meilisearch is a search engine created by [Meili]([https://www.welcometothejungle.com/en/companies/meilisearch](https://www.meilisearch.com/careers)), a software development company headquartered in France and with team members all over the world. Want to know more about us? [Check out our blog!](https://blog.meilisearch.com/?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=contact)
|
||||
Meilisearch is a search engine created by [Meili](https://www.welcometothejungle.com/en/companies/meilisearch), a software development company based in France and with team members all over the world. Want to know more about us? [Check out our blog!](https://blog.meilisearch.com/?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=contact)
|
||||
|
||||
đź—ž [Subscribe to our newsletter](https://meilisearch.us2.list-manage.com/subscribe?u=27870f7b71c908a8b359599fb&id=79582d828e) if you don't want to miss any updates! We promise we won't clutter your mailbox: we only send one edition every two months.
|
||||
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@ -256,8 +256,8 @@ pub(crate) mod test {
|
||||
|
||||
pub fn create_test_settings() -> Settings<Checked> {
|
||||
let settings = Settings {
|
||||
displayed_attributes: Setting::Set(vec![S("race"), S("name")]).into(),
|
||||
searchable_attributes: Setting::Set(vec![S("name"), S("race")]).into(),
|
||||
displayed_attributes: Setting::Set(vec![S("race"), S("name")]),
|
||||
searchable_attributes: Setting::Set(vec![S("name"), S("race")]),
|
||||
filterable_attributes: Setting::Set(btreeset! { S("race"), S("age") }),
|
||||
sortable_attributes: Setting::Set(btreeset! { S("age") }),
|
||||
ranking_rules: Setting::NotSet,
|
||||
@ -277,7 +277,6 @@ pub(crate) mod test {
|
||||
}),
|
||||
pagination: Setting::NotSet,
|
||||
embedders: Setting::NotSet,
|
||||
search_cutoff_ms: Setting::NotSet,
|
||||
_kind: std::marker::PhantomData,
|
||||
};
|
||||
settings.check()
|
||||
|
||||
@ -315,8 +315,8 @@ impl From<v5::ResponseError> for v6::ResponseError {
|
||||
impl<T> From<v5::Settings<T>> for v6::Settings<v6::Unchecked> {
|
||||
fn from(settings: v5::Settings<T>) -> Self {
|
||||
v6::Settings {
|
||||
displayed_attributes: v6::Setting::from(settings.displayed_attributes).into(),
|
||||
searchable_attributes: v6::Setting::from(settings.searchable_attributes).into(),
|
||||
displayed_attributes: settings.displayed_attributes.into(),
|
||||
searchable_attributes: settings.searchable_attributes.into(),
|
||||
filterable_attributes: settings.filterable_attributes.into(),
|
||||
sortable_attributes: settings.sortable_attributes.into(),
|
||||
ranking_rules: {
|
||||
@ -379,7 +379,6 @@ impl<T> From<v5::Settings<T>> for v6::Settings<v6::Unchecked> {
|
||||
v5::Setting::NotSet => v6::Setting::NotSet,
|
||||
},
|
||||
embedders: v6::Setting::NotSet,
|
||||
search_cutoff_ms: v6::Setting::NotSet,
|
||||
_kind: std::marker::PhantomData,
|
||||
}
|
||||
}
|
||||
|
||||
@ -197,140 +197,6 @@ pub(crate) mod test {
|
||||
use super::*;
|
||||
use crate::reader::v6::RuntimeTogglableFeatures;
|
||||
|
||||
#[test]
|
||||
fn import_dump_v6_with_vectors() {
|
||||
// dump containing two indexes
|
||||
//
|
||||
// "vector", configured with an embedder
|
||||
// contains:
|
||||
// - one document with an overriden vector,
|
||||
// - one document with a natural vector
|
||||
// - one document with a _vectors map containing one additional embedder name and a natural vector
|
||||
// - one document with a _vectors map containing one additional embedder name and an overriden vector
|
||||
//
|
||||
// "novector", no embedder
|
||||
// contains:
|
||||
// - a document without vector
|
||||
// - a document with a random _vectors field
|
||||
let dump = File::open("tests/assets/v6-with-vectors.dump").unwrap();
|
||||
let mut dump = DumpReader::open(dump).unwrap();
|
||||
|
||||
// top level infos
|
||||
insta::assert_display_snapshot!(dump.date().unwrap(), @"2024-05-16 15:51:34.151044 +00:00:00");
|
||||
insta::assert_debug_snapshot!(dump.instance_uid().unwrap(), @"None");
|
||||
|
||||
// tasks
|
||||
let tasks = dump.tasks().unwrap().collect::<Result<Vec<_>>>().unwrap();
|
||||
let (tasks, update_files): (Vec<_>, Vec<_>) = tasks.into_iter().unzip();
|
||||
meili_snap::snapshot_hash!(meili_snap::json_string!(tasks), @"278f63325ef06ca04d01df98d8207b94");
|
||||
assert_eq!(update_files.len(), 10);
|
||||
assert!(update_files[0].is_none()); // the dump creation
|
||||
assert!(update_files[1].is_none());
|
||||
assert!(update_files[2].is_none());
|
||||
assert!(update_files[3].is_none());
|
||||
assert!(update_files[4].is_none());
|
||||
assert!(update_files[5].is_none());
|
||||
assert!(update_files[6].is_none());
|
||||
assert!(update_files[7].is_none());
|
||||
assert!(update_files[8].is_none());
|
||||
assert!(update_files[9].is_none());
|
||||
|
||||
// indexes
|
||||
let mut indexes = dump.indexes().unwrap().collect::<Result<Vec<_>>>().unwrap();
|
||||
// the index are not ordered in any way by default
|
||||
indexes.sort_by_key(|index| index.metadata().uid.to_string());
|
||||
|
||||
let mut vector_index = indexes.pop().unwrap();
|
||||
let mut novector_index = indexes.pop().unwrap();
|
||||
assert!(indexes.is_empty());
|
||||
|
||||
// vector
|
||||
|
||||
insta::assert_json_snapshot!(vector_index.metadata(), @r###"
|
||||
{
|
||||
"uid": "vector",
|
||||
"primaryKey": "id",
|
||||
"createdAt": "2024-05-16T15:33:17.240962Z",
|
||||
"updatedAt": "2024-05-16T15:40:55.723052Z"
|
||||
}
|
||||
"###);
|
||||
|
||||
{
|
||||
let documents: Result<Vec<_>> = vector_index.documents().unwrap().collect();
|
||||
let mut documents = documents.unwrap();
|
||||
assert_eq!(documents.len(), 4);
|
||||
|
||||
documents.sort_by_key(|doc| doc.get("id").unwrap().to_string());
|
||||
|
||||
{
|
||||
let document = documents.pop().unwrap();
|
||||
insta::assert_json_snapshot!(document);
|
||||
}
|
||||
|
||||
{
|
||||
let document = documents.pop().unwrap();
|
||||
insta::assert_json_snapshot!(document);
|
||||
}
|
||||
|
||||
{
|
||||
let document = documents.pop().unwrap();
|
||||
insta::assert_json_snapshot!(document);
|
||||
}
|
||||
|
||||
{
|
||||
let document = documents.pop().unwrap();
|
||||
insta::assert_json_snapshot!(document);
|
||||
}
|
||||
}
|
||||
|
||||
// novector
|
||||
|
||||
insta::assert_json_snapshot!(novector_index.metadata(), @r###"
|
||||
{
|
||||
"uid": "novector",
|
||||
"primaryKey": "id",
|
||||
"createdAt": "2024-05-16T15:33:03.568055Z",
|
||||
"updatedAt": "2024-05-16T15:33:07.530217Z"
|
||||
}
|
||||
"###);
|
||||
|
||||
insta::assert_json_snapshot!(novector_index.settings().unwrap().embedders, @"null");
|
||||
|
||||
{
|
||||
let documents: Result<Vec<_>> = novector_index.documents().unwrap().collect();
|
||||
let mut documents = documents.unwrap();
|
||||
assert_eq!(documents.len(), 2);
|
||||
|
||||
documents.sort_by_key(|doc| doc.get("id").unwrap().to_string());
|
||||
|
||||
{
|
||||
let document = documents.pop().unwrap();
|
||||
insta::assert_json_snapshot!(document, @r###"
|
||||
{
|
||||
"id": "e1",
|
||||
"other": "random1",
|
||||
"_vectors": "toto"
|
||||
}
|
||||
"###);
|
||||
}
|
||||
|
||||
{
|
||||
let document = documents.pop().unwrap();
|
||||
insta::assert_json_snapshot!(document, @r###"
|
||||
{
|
||||
"id": "e0",
|
||||
"other": "random0"
|
||||
}
|
||||
"###);
|
||||
}
|
||||
}
|
||||
|
||||
assert_eq!(
|
||||
dump.features().unwrap().unwrap(),
|
||||
RuntimeTogglableFeatures { vector_store: true, ..Default::default() }
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn import_dump_v6_experimental() {
|
||||
let dump = File::open("tests/assets/v6-with-experimental.dump").unwrap();
|
||||
|
||||
@ -1,783 +0,0 @@
|
||||
---
|
||||
source: dump/src/reader/mod.rs
|
||||
expression: document
|
||||
---
|
||||
{
|
||||
"id": "e3",
|
||||
"desc": "overriden vector + map",
|
||||
"_vectors": {
|
||||
"default": [
|
||||
0.2,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
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@ -1,785 +0,0 @@
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---
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expression: document
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}
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}
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@ -1,780 +0,0 @@
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---
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||||
source: dump/src/reader/mod.rs
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expression: document
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---
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0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1,
|
||||
0.1
|
||||
]
|
||||
}
|
||||
}
|
||||
@ -61,7 +61,7 @@ pub enum IndexDocumentsMethod {
|
||||
#[cfg_attr(test, derive(serde::Serialize))]
|
||||
#[non_exhaustive]
|
||||
pub enum UpdateFormat {
|
||||
/// The given update is a real **comma separated** CSV with headers on the first line.
|
||||
/// The given update is a real **comma seperated** CSV with headers on the first line.
|
||||
Csv,
|
||||
/// The given update is a JSON array with documents inside.
|
||||
Json,
|
||||
|
||||
@ -152,7 +152,6 @@ impl Settings<Unchecked> {
|
||||
}
|
||||
|
||||
#[derive(Debug, Clone, Deserialize)]
|
||||
#[allow(dead_code)] // otherwise rustc complains that the fields go unused
|
||||
#[cfg_attr(test, derive(serde::Serialize))]
|
||||
#[serde(deny_unknown_fields)]
|
||||
#[serde(rename_all = "camelCase")]
|
||||
|
||||
@ -182,7 +182,6 @@ impl Settings<Unchecked> {
|
||||
}
|
||||
}
|
||||
|
||||
#[allow(dead_code)] // otherwise rustc complains that the fields go unused
|
||||
#[derive(Debug, Clone, Deserialize)]
|
||||
#[cfg_attr(test, derive(serde::Serialize))]
|
||||
#[serde(deny_unknown_fields)]
|
||||
|
||||
@ -200,7 +200,6 @@ impl std::ops::Deref for IndexUid {
|
||||
}
|
||||
}
|
||||
|
||||
#[allow(dead_code)] // otherwise rustc complains that the fields go unused
|
||||
#[derive(Debug)]
|
||||
#[cfg_attr(test, derive(serde::Serialize))]
|
||||
#[cfg_attr(test, serde(rename_all = "camelCase"))]
|
||||
|
||||
@ -219,7 +219,7 @@ pub(crate) mod test {
|
||||
fn _create_directory_hierarchy(dir: &Path, depth: usize) -> String {
|
||||
let mut ret = String::new();
|
||||
|
||||
// the entries are not guaranteed to be returned in the same order thus we need to sort them.
|
||||
// the entries are not guarenteed to be returned in the same order thus we need to sort them.
|
||||
let mut entries =
|
||||
fs::read_dir(dir).unwrap().collect::<std::result::Result<Vec<_>, _>>().unwrap();
|
||||
|
||||
|
||||
Binary file not shown.
@ -568,7 +568,7 @@ pub mod tests {
|
||||
insta::assert_display_snapshot!(p(r"title = 'foo\\\\'"), @r#"{title} = {foo\\}"#);
|
||||
insta::assert_display_snapshot!(p(r"title = 'foo\\\\\\'"), @r#"{title} = {foo\\\}"#);
|
||||
insta::assert_display_snapshot!(p(r"title = 'foo\\\\\\\\'"), @r#"{title} = {foo\\\\}"#);
|
||||
// but it also works with other sequences
|
||||
// but it also works with other sequencies
|
||||
insta::assert_display_snapshot!(p(r#"title = 'foo\x20\n\t\"\'"'"#), @"{title} = {foo \n\t\"\'\"}");
|
||||
}
|
||||
|
||||
|
||||
@ -42,7 +42,7 @@ fn quoted_by(quote: char, input: Span) -> IResult<Token> {
|
||||
)));
|
||||
}
|
||||
}
|
||||
// if it was preceded by a `\` or if it was anything else we can continue to advance
|
||||
// if it was preceeded by a `\` or if it was anything else we can continue to advance
|
||||
}
|
||||
|
||||
Ok((
|
||||
|
||||
@ -22,6 +22,7 @@ flate2 = "1.0.28"
|
||||
meilisearch-auth = { path = "../meilisearch-auth" }
|
||||
meilisearch-types = { path = "../meilisearch-types" }
|
||||
page_size = "0.5.0"
|
||||
puffin = { version = "0.16.0", features = ["serialization"] }
|
||||
rayon = "1.8.1"
|
||||
roaring = { version = "0.10.2", features = ["serde"] }
|
||||
serde = { version = "1.0.195", features = ["derive"] }
|
||||
@ -36,13 +37,11 @@ time = { version = "0.3.31", features = [
|
||||
"macros",
|
||||
] }
|
||||
tracing = "0.1.40"
|
||||
ureq = "2.9.7"
|
||||
ureq = "2.9.1"
|
||||
uuid = { version = "1.6.1", features = ["serde", "v4"] }
|
||||
|
||||
[dev-dependencies]
|
||||
arroy = "0.4.0"
|
||||
big_s = "1.0.2"
|
||||
crossbeam = "0.8.4"
|
||||
insta = { version = "1.34.0", features = ["json", "redactions"] }
|
||||
maplit = "1.0.2"
|
||||
meili-snap = { path = "../meili-snap" }
|
||||
|
||||
@ -870,7 +870,7 @@ mod tests {
|
||||
debug_snapshot!(autobatch_from(false,None, [doc_imp(UpdateDocuments, false, None), settings(false), idx_del()]), @"Some((IndexDeletion { ids: [0, 2, 1] }, false))");
|
||||
debug_snapshot!(autobatch_from(false,None, [doc_imp(ReplaceDocuments,false, None), settings(false), doc_clr(), idx_del()]), @"Some((IndexDeletion { ids: [1, 3, 0, 2] }, false))");
|
||||
debug_snapshot!(autobatch_from(false,None, [doc_imp(UpdateDocuments, false, None), settings(false), doc_clr(), idx_del()]), @"Some((IndexDeletion { ids: [1, 3, 0, 2] }, false))");
|
||||
// The third and final case is when the first task doesn't create an index but is directly followed by a task creating an index. In this case we can't batch whit what
|
||||
// The third and final case is when the first task doesn't create an index but is directly followed by a task creating an index. In this case we can't batch whith what
|
||||
// follows because we first need to process the erronous batch.
|
||||
debug_snapshot!(autobatch_from(false,None, [doc_imp(ReplaceDocuments,false, None), settings(true), idx_del()]), @"Some((DocumentOperation { method: ReplaceDocuments, allow_index_creation: false, primary_key: None, operation_ids: [0] }, false))");
|
||||
debug_snapshot!(autobatch_from(false,None, [doc_imp(UpdateDocuments, false, None), settings(true), idx_del()]), @"Some((DocumentOperation { method: UpdateDocuments, allow_index_creation: false, primary_key: None, operation_ids: [0] }, false))");
|
||||
|
||||
@ -13,7 +13,7 @@ We can combine the two tasks in a single batch:
|
||||
1. import documents X and Y
|
||||
|
||||
Processing this batch is functionally equivalent to processing the two
|
||||
tasks individually, but should be much faster since we are only performing
|
||||
tasks individally, but should be much faster since we are only performing
|
||||
one indexing operation.
|
||||
*/
|
||||
|
||||
@ -31,9 +31,6 @@ use meilisearch_types::milli::heed::CompactionOption;
|
||||
use meilisearch_types::milli::update::{
|
||||
IndexDocumentsConfig, IndexDocumentsMethod, IndexerConfig, Settings as MilliSettings,
|
||||
};
|
||||
use meilisearch_types::milli::vector::parsed_vectors::{
|
||||
ExplicitVectors, VectorOrArrayOfVectors, RESERVED_VECTORS_FIELD_NAME,
|
||||
};
|
||||
use meilisearch_types::milli::{self, Filter};
|
||||
use meilisearch_types::settings::{apply_settings_to_builder, Settings, Unchecked};
|
||||
use meilisearch_types::tasks::{Details, IndexSwap, Kind, KindWithContent, Status, Task};
|
||||
@ -529,6 +526,8 @@ impl IndexScheduler {
|
||||
#[cfg(test)]
|
||||
self.maybe_fail(crate::tests::FailureLocation::InsideCreateBatch)?;
|
||||
|
||||
puffin::profile_function!();
|
||||
|
||||
let enqueued = &self.get_status(rtxn, Status::Enqueued)?;
|
||||
let to_cancel = self.get_kind(rtxn, Kind::TaskCancelation)? & enqueued;
|
||||
|
||||
@ -637,6 +636,8 @@ impl IndexScheduler {
|
||||
self.breakpoint(crate::Breakpoint::InsideProcessBatch);
|
||||
}
|
||||
|
||||
puffin::profile_function!(batch.to_string());
|
||||
|
||||
match batch {
|
||||
Batch::TaskCancelation { mut task, previous_started_at, previous_processing_tasks } => {
|
||||
// 1. Retrieve the tasks that matched the query at enqueue-time.
|
||||
@ -784,12 +785,10 @@ impl IndexScheduler {
|
||||
let dst = temp_snapshot_dir.path().join("auth");
|
||||
fs::create_dir_all(&dst)?;
|
||||
// TODO We can't use the open_auth_store_env function here but we should
|
||||
let auth = unsafe {
|
||||
milli::heed::EnvOpenOptions::new()
|
||||
.map_size(1024 * 1024 * 1024) // 1 GiB
|
||||
.max_dbs(2)
|
||||
.open(&self.auth_path)
|
||||
}?;
|
||||
let auth = milli::heed::EnvOpenOptions::new()
|
||||
.map_size(1024 * 1024 * 1024) // 1 GiB
|
||||
.max_dbs(2)
|
||||
.open(&self.auth_path)?;
|
||||
auth.copy_to_file(dst.join("data.mdb"), CompactionOption::Enabled)?;
|
||||
|
||||
// 5. Copy and tarball the flat snapshot
|
||||
@ -897,95 +896,34 @@ impl IndexScheduler {
|
||||
dump_tasks.flush()?;
|
||||
|
||||
// 3. Dump the indexes
|
||||
let () =
|
||||
self.index_mapper.try_for_each_index(&rtxn, |uid, index| -> Result<()> {
|
||||
let rtxn = index.read_txn()?;
|
||||
let metadata = IndexMetadata {
|
||||
uid: uid.to_owned(),
|
||||
primary_key: index.primary_key(&rtxn)?.map(String::from),
|
||||
created_at: index.created_at(&rtxn)?,
|
||||
updated_at: index.updated_at(&rtxn)?,
|
||||
};
|
||||
let mut index_dumper = dump.create_index(uid, &metadata)?;
|
||||
self.index_mapper.try_for_each_index(&rtxn, |uid, index| -> Result<()> {
|
||||
let rtxn = index.read_txn()?;
|
||||
let metadata = IndexMetadata {
|
||||
uid: uid.to_owned(),
|
||||
primary_key: index.primary_key(&rtxn)?.map(String::from),
|
||||
created_at: index.created_at(&rtxn)?,
|
||||
updated_at: index.updated_at(&rtxn)?,
|
||||
};
|
||||
let mut index_dumper = dump.create_index(uid, &metadata)?;
|
||||
|
||||
let fields_ids_map = index.fields_ids_map(&rtxn)?;
|
||||
let all_fields: Vec<_> = fields_ids_map.iter().map(|(id, _)| id).collect();
|
||||
let embedding_configs = index.embedding_configs(&rtxn)?;
|
||||
let fields_ids_map = index.fields_ids_map(&rtxn)?;
|
||||
let all_fields: Vec<_> = fields_ids_map.iter().map(|(id, _)| id).collect();
|
||||
|
||||
// 3.1. Dump the documents
|
||||
for ret in index.all_documents(&rtxn)? {
|
||||
if self.must_stop_processing.get() {
|
||||
return Err(Error::AbortedTask);
|
||||
}
|
||||
|
||||
let (id, doc) = ret?;
|
||||
|
||||
let mut document =
|
||||
milli::obkv_to_json(&all_fields, &fields_ids_map, doc)?;
|
||||
|
||||
'inject_vectors: {
|
||||
let embeddings = index.embeddings(&rtxn, id)?;
|
||||
|
||||
if embeddings.is_empty() {
|
||||
break 'inject_vectors;
|
||||
}
|
||||
|
||||
let vectors = document
|
||||
.entry(RESERVED_VECTORS_FIELD_NAME.to_owned())
|
||||
.or_insert(serde_json::Value::Object(Default::default()));
|
||||
|
||||
let serde_json::Value::Object(vectors) = vectors else {
|
||||
return Err(milli::Error::UserError(
|
||||
milli::UserError::InvalidVectorsMapType {
|
||||
document_id: {
|
||||
if let Ok(Some(Ok(index))) = index
|
||||
.external_id_of(&rtxn, std::iter::once(id))
|
||||
.map(|it| it.into_iter().next())
|
||||
{
|
||||
index
|
||||
} else {
|
||||
format!("internal docid={id}")
|
||||
}
|
||||
},
|
||||
value: vectors.clone(),
|
||||
},
|
||||
)
|
||||
.into());
|
||||
};
|
||||
|
||||
for (embedder_name, embeddings) in embeddings {
|
||||
let user_provided = embedding_configs
|
||||
.iter()
|
||||
.find(|conf| conf.name == embedder_name)
|
||||
.is_some_and(|conf| conf.user_provided.contains(id));
|
||||
|
||||
let embeddings = ExplicitVectors {
|
||||
embeddings: Some(
|
||||
VectorOrArrayOfVectors::from_array_of_vectors(
|
||||
embeddings,
|
||||
),
|
||||
),
|
||||
regenerate: !user_provided,
|
||||
};
|
||||
vectors.insert(
|
||||
embedder_name,
|
||||
serde_json::to_value(embeddings).unwrap(),
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
index_dumper.push_document(&document)?;
|
||||
// 3.1. Dump the documents
|
||||
for ret in index.all_documents(&rtxn)? {
|
||||
if self.must_stop_processing.get() {
|
||||
return Err(Error::AbortedTask);
|
||||
}
|
||||
let (_id, doc) = ret?;
|
||||
let document = milli::obkv_to_json(&all_fields, &fields_ids_map, doc)?;
|
||||
index_dumper.push_document(&document)?;
|
||||
}
|
||||
|
||||
// 3.2. Dump the settings
|
||||
let settings = meilisearch_types::settings::settings(
|
||||
index,
|
||||
&rtxn,
|
||||
meilisearch_types::settings::SecretPolicy::RevealSecrets,
|
||||
)?;
|
||||
index_dumper.settings(&settings)?;
|
||||
Ok(())
|
||||
})?;
|
||||
// 3.2. Dump the settings
|
||||
let settings = meilisearch_types::settings::settings(index, &rtxn)?;
|
||||
index_dumper.settings(&settings)?;
|
||||
Ok(())
|
||||
})?;
|
||||
|
||||
// 4. Dump experimental feature settings
|
||||
let features = self.features().runtime_features();
|
||||
@ -1023,7 +961,22 @@ impl IndexScheduler {
|
||||
.set_currently_updating_index(Some((index_uid.clone(), index.clone())));
|
||||
|
||||
let mut index_wtxn = index.write_txn()?;
|
||||
let tasks = self.apply_index_operation(&mut index_wtxn, &index, op)?;
|
||||
|
||||
let mut tasks = self.apply_index_operation(&mut index_wtxn, &index, op)?;
|
||||
|
||||
if index.is_corrupted(&index_wtxn)? {
|
||||
tracing::error!("Aborting task due to corrupted index");
|
||||
index_wtxn.abort();
|
||||
for task in tasks.iter_mut() {
|
||||
task.status = Status::Failed;
|
||||
task.error = Some(Error::CorruptedIndex.into());
|
||||
}
|
||||
|
||||
return Ok(tasks);
|
||||
}
|
||||
|
||||
index.check_document_facet_consistency(&index_wtxn)?.check();
|
||||
|
||||
index_wtxn.commit()?;
|
||||
|
||||
// if the update processed successfully, we're going to store the new
|
||||
@ -1232,6 +1185,8 @@ impl IndexScheduler {
|
||||
index: &'i Index,
|
||||
operation: IndexOperation,
|
||||
) -> Result<Vec<Task>> {
|
||||
puffin::profile_function!();
|
||||
|
||||
match operation {
|
||||
IndexOperation::DocumentClear { mut tasks, .. } => {
|
||||
let count = milli::update::ClearDocuments::new(index_wtxn, index).execute()?;
|
||||
@ -1292,11 +1247,7 @@ impl IndexScheduler {
|
||||
}
|
||||
}
|
||||
|
||||
let config = IndexDocumentsConfig {
|
||||
update_method: method,
|
||||
compute_prefix_databases: self.compute_prefix_databases,
|
||||
..Default::default()
|
||||
};
|
||||
let config = IndexDocumentsConfig { update_method: method, ..Default::default() };
|
||||
|
||||
let embedder_configs = index.embedding_configs(index_wtxn)?;
|
||||
// TODO: consider Arc'ing the map too (we only need read access + we'll be cloning it multiple times, so really makes sense)
|
||||
@ -1403,10 +1354,10 @@ impl IndexScheduler {
|
||||
} else {
|
||||
unreachable!()
|
||||
};
|
||||
|
||||
let deleted_documents = delete_document_by_filter(
|
||||
index_wtxn,
|
||||
filter,
|
||||
self.compute_prefix_databases,
|
||||
self.index_mapper.indexer_config(),
|
||||
self.must_stop_processing.clone(),
|
||||
index,
|
||||
@ -1647,7 +1598,6 @@ impl IndexScheduler {
|
||||
fn delete_document_by_filter<'a>(
|
||||
wtxn: &mut RwTxn<'a>,
|
||||
filter: &serde_json::Value,
|
||||
compute_prefix_databases: bool,
|
||||
indexer_config: &IndexerConfig,
|
||||
must_stop_processing: MustStopProcessing,
|
||||
index: &'a Index,
|
||||
@ -1663,7 +1613,6 @@ fn delete_document_by_filter<'a>(
|
||||
|
||||
let config = IndexDocumentsConfig {
|
||||
update_method: IndexDocumentsMethod::ReplaceDocuments,
|
||||
compute_prefix_databases,
|
||||
..Default::default()
|
||||
};
|
||||
|
||||
|
||||
@ -138,6 +138,8 @@ pub enum Error {
|
||||
CreateBatch(Box<Self>),
|
||||
#[error("Corrupted task queue.")]
|
||||
CorruptedTaskQueue,
|
||||
#[error("Corrupted index.")]
|
||||
CorruptedIndex,
|
||||
#[error(transparent)]
|
||||
TaskDatabaseUpdate(Box<Self>),
|
||||
#[error(transparent)]
|
||||
@ -192,6 +194,7 @@ impl Error {
|
||||
| Error::Anyhow(_) => true,
|
||||
Error::CreateBatch(_)
|
||||
| Error::CorruptedTaskQueue
|
||||
| Error::CorruptedIndex
|
||||
| Error::TaskDatabaseUpdate(_)
|
||||
| Error::HeedTransaction(_) => false,
|
||||
#[cfg(test)]
|
||||
@ -242,6 +245,7 @@ impl ErrorCode for Error {
|
||||
Error::CorruptedDump => Code::Internal,
|
||||
Error::TaskDatabaseUpdate(_) => Code::Internal,
|
||||
Error::CreateBatch(_) => Code::Internal,
|
||||
Error::CorruptedIndex => Code::Internal,
|
||||
|
||||
// This one should never be seen by the end user
|
||||
Error::AbortedTask => Code::Internal,
|
||||
|
||||
@ -68,6 +68,19 @@ impl RoFeatures {
|
||||
.into())
|
||||
}
|
||||
}
|
||||
|
||||
pub fn check_puffin(&self) -> Result<()> {
|
||||
if self.runtime.export_puffin_reports {
|
||||
Ok(())
|
||||
} else {
|
||||
Err(FeatureNotEnabledError {
|
||||
disabled_action: "Outputting Puffin reports to disk",
|
||||
feature: "export puffin reports",
|
||||
issue_link: "https://github.com/meilisearch/product/discussions/693",
|
||||
}
|
||||
.into())
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
impl FeatureData {
|
||||
|
||||
@ -32,7 +32,7 @@ pub fn snapshot_index_scheduler(scheduler: &IndexScheduler) -> String {
|
||||
features: _,
|
||||
max_number_of_tasks: _,
|
||||
max_number_of_batched_tasks: _,
|
||||
compute_prefix_databases: _,
|
||||
puffin_frame: _,
|
||||
wake_up: _,
|
||||
dumps_path: _,
|
||||
snapshots_path: _,
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@ -1,15 +0,0 @@
|
||||
---
|
||||
source: index-scheduler/src/lib.rs
|
||||
expression: doc
|
||||
---
|
||||
{
|
||||
"doggo": "Intel",
|
||||
"breed": "beagle",
|
||||
"_vectors": {
|
||||
"noise": [
|
||||
0.1,
|
||||
0.2,
|
||||
0.3
|
||||
]
|
||||
}
|
||||
}
|
||||
@ -1,20 +0,0 @@
|
||||
---
|
||||
source: index-scheduler/src/lib.rs
|
||||
expression: task.details
|
||||
---
|
||||
{
|
||||
"embedders": {
|
||||
"A_fakerest": {
|
||||
"source": "rest",
|
||||
"apiKey": "MyXXXX...",
|
||||
"dimensions": 384,
|
||||
"url": "http://localhost:7777"
|
||||
},
|
||||
"B_small_hf": {
|
||||
"source": "huggingFace",
|
||||
"model": "sentence-transformers/all-MiniLM-L6-v2",
|
||||
"revision": "e4ce9877abf3edfe10b0d82785e83bdcb973e22e",
|
||||
"documentTemplate": "{{doc.doggo}} the {{doc.breed}} best doggo"
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -1,15 +0,0 @@
|
||||
---
|
||||
source: index-scheduler/src/lib.rs
|
||||
expression: doc
|
||||
---
|
||||
{
|
||||
"doggo": "kefir",
|
||||
"breed": "patou",
|
||||
"_vectors": {
|
||||
"noise": [
|
||||
0.1,
|
||||
0.2,
|
||||
0.3
|
||||
]
|
||||
}
|
||||
}
|
||||
@ -1,23 +0,0 @@
|
||||
---
|
||||
source: index-scheduler/src/lib.rs
|
||||
expression: fakerest_config.embedder_options
|
||||
---
|
||||
{
|
||||
"Rest": {
|
||||
"api_key": "My super secret",
|
||||
"distribution": null,
|
||||
"dimensions": 384,
|
||||
"url": "http://localhost:7777",
|
||||
"query": null,
|
||||
"input_field": [
|
||||
"input"
|
||||
],
|
||||
"path_to_embeddings": [
|
||||
"data"
|
||||
],
|
||||
"embedding_object": [
|
||||
"embedding"
|
||||
],
|
||||
"input_type": "text"
|
||||
}
|
||||
}
|
||||
@ -1,11 +0,0 @@
|
||||
---
|
||||
source: index-scheduler/src/lib.rs
|
||||
expression: simple_hf_config.embedder_options
|
||||
---
|
||||
{
|
||||
"HuggingFace": {
|
||||
"model": "sentence-transformers/all-MiniLM-L6-v2",
|
||||
"revision": "e4ce9877abf3edfe10b0d82785e83bdcb973e22e",
|
||||
"distribution": null
|
||||
}
|
||||
}
|
||||
@ -1,20 +0,0 @@
|
||||
---
|
||||
source: index-scheduler/src/lib.rs
|
||||
expression: task.details
|
||||
---
|
||||
{
|
||||
"embedders": {
|
||||
"A_fakerest": {
|
||||
"source": "rest",
|
||||
"apiKey": "MyXXXX...",
|
||||
"dimensions": 384,
|
||||
"url": "http://localhost:7777"
|
||||
},
|
||||
"B_small_hf": {
|
||||
"source": "huggingFace",
|
||||
"model": "sentence-transformers/all-MiniLM-L6-v2",
|
||||
"revision": "e4ce9877abf3edfe10b0d82785e83bdcb973e22e",
|
||||
"documentTemplate": "{{doc.doggo}} the {{doc.breed}} best doggo"
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -1,14 +0,0 @@
|
||||
---
|
||||
source: index-scheduler/src/lib.rs
|
||||
expression: task.details
|
||||
---
|
||||
{
|
||||
"embedders": {
|
||||
"default": {
|
||||
"source": "rest",
|
||||
"apiKey": "MyXXXX...",
|
||||
"dimensions": 4,
|
||||
"url": "http://localhost:7777"
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -1,23 +0,0 @@
|
||||
---
|
||||
source: index-scheduler/src/lib.rs
|
||||
expression: embedding_config.embedder_options
|
||||
---
|
||||
{
|
||||
"Rest": {
|
||||
"api_key": "My super secret",
|
||||
"distribution": null,
|
||||
"dimensions": 4,
|
||||
"url": "http://localhost:7777",
|
||||
"query": null,
|
||||
"input_field": [
|
||||
"input"
|
||||
],
|
||||
"path_to_embeddings": [
|
||||
"data"
|
||||
],
|
||||
"embedding_object": [
|
||||
"embedding"
|
||||
],
|
||||
"input_type": "text"
|
||||
}
|
||||
}
|
||||
@ -1,14 +0,0 @@
|
||||
---
|
||||
source: index-scheduler/src/lib.rs
|
||||
expression: task.details
|
||||
---
|
||||
{
|
||||
"embedders": {
|
||||
"default": {
|
||||
"source": "rest",
|
||||
"apiKey": "MyXXXX...",
|
||||
"dimensions": 4,
|
||||
"url": "http://localhost:7777"
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -1,49 +0,0 @@
|
||||
---
|
||||
source: index-scheduler/src/lib.rs
|
||||
---
|
||||
### Autobatching Enabled = true
|
||||
### Processing Tasks:
|
||||
[]
|
||||
----------------------------------------------------------------------
|
||||
### All Tasks:
|
||||
0 {uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), url: NotSet, query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), url: NotSet, query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
|
||||
1 {uid: 1, status: succeeded, details: { received_documents: 1, indexed_documents: Some(1) }, kind: DocumentAdditionOrUpdate { index_uid: "doggos", primary_key: Some("id"), method: UpdateDocuments, content_file: 00000000-0000-0000-0000-000000000000, documents_count: 1, allow_index_creation: true }}
|
||||
2 {uid: 2, status: succeeded, details: { received_documents: 1, indexed_documents: Some(1) }, kind: DocumentAdditionOrUpdate { index_uid: "doggos", primary_key: None, method: UpdateDocuments, content_file: 00000000-0000-0000-0000-000000000001, documents_count: 1, allow_index_creation: true }}
|
||||
----------------------------------------------------------------------
|
||||
### Status:
|
||||
enqueued []
|
||||
succeeded [0,1,2,]
|
||||
----------------------------------------------------------------------
|
||||
### Kind:
|
||||
"documentAdditionOrUpdate" [1,2,]
|
||||
"settingsUpdate" [0,]
|
||||
----------------------------------------------------------------------
|
||||
### Index Tasks:
|
||||
doggos [0,1,2,]
|
||||
----------------------------------------------------------------------
|
||||
### Index Mapper:
|
||||
doggos: { number_of_documents: 1, field_distribution: {"_vectors": 1, "breed": 1, "doggo": 1, "id": 1} }
|
||||
|
||||
----------------------------------------------------------------------
|
||||
### Canceled By:
|
||||
|
||||
----------------------------------------------------------------------
|
||||
### Enqueued At:
|
||||
[timestamp] [0,]
|
||||
[timestamp] [1,]
|
||||
[timestamp] [2,]
|
||||
----------------------------------------------------------------------
|
||||
### Started At:
|
||||
[timestamp] [0,]
|
||||
[timestamp] [1,]
|
||||
[timestamp] [2,]
|
||||
----------------------------------------------------------------------
|
||||
### Finished At:
|
||||
[timestamp] [0,]
|
||||
[timestamp] [1,]
|
||||
[timestamp] [2,]
|
||||
----------------------------------------------------------------------
|
||||
### File Store:
|
||||
|
||||
----------------------------------------------------------------------
|
||||
|
||||
@ -1,48 +0,0 @@
|
||||
---
|
||||
source: index-scheduler/src/lib.rs
|
||||
---
|
||||
### Autobatching Enabled = true
|
||||
### Processing Tasks:
|
||||
[]
|
||||
----------------------------------------------------------------------
|
||||
### All Tasks:
|
||||
0 {uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), url: NotSet, query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), url: NotSet, query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
|
||||
1 {uid: 1, status: succeeded, details: { received_documents: 1, indexed_documents: Some(1) }, kind: DocumentAdditionOrUpdate { index_uid: "doggos", primary_key: Some("id"), method: UpdateDocuments, content_file: 00000000-0000-0000-0000-000000000000, documents_count: 1, allow_index_creation: true }}
|
||||
2 {uid: 2, status: enqueued, details: { received_documents: 1, indexed_documents: None }, kind: DocumentAdditionOrUpdate { index_uid: "doggos", primary_key: None, method: UpdateDocuments, content_file: 00000000-0000-0000-0000-000000000001, documents_count: 1, allow_index_creation: true }}
|
||||
----------------------------------------------------------------------
|
||||
### Status:
|
||||
enqueued [2,]
|
||||
succeeded [0,1,]
|
||||
----------------------------------------------------------------------
|
||||
### Kind:
|
||||
"documentAdditionOrUpdate" [1,2,]
|
||||
"settingsUpdate" [0,]
|
||||
----------------------------------------------------------------------
|
||||
### Index Tasks:
|
||||
doggos [0,1,2,]
|
||||
----------------------------------------------------------------------
|
||||
### Index Mapper:
|
||||
doggos: { number_of_documents: 1, field_distribution: {"_vectors": 1, "breed": 1, "doggo": 1, "id": 1} }
|
||||
|
||||
----------------------------------------------------------------------
|
||||
### Canceled By:
|
||||
|
||||
----------------------------------------------------------------------
|
||||
### Enqueued At:
|
||||
[timestamp] [0,]
|
||||
[timestamp] [1,]
|
||||
[timestamp] [2,]
|
||||
----------------------------------------------------------------------
|
||||
### Started At:
|
||||
[timestamp] [0,]
|
||||
[timestamp] [1,]
|
||||
----------------------------------------------------------------------
|
||||
### Finished At:
|
||||
[timestamp] [0,]
|
||||
[timestamp] [1,]
|
||||
----------------------------------------------------------------------
|
||||
### File Store:
|
||||
00000000-0000-0000-0000-000000000001
|
||||
|
||||
----------------------------------------------------------------------
|
||||
|
||||
@ -1,45 +0,0 @@
|
||||
---
|
||||
source: index-scheduler/src/lib.rs
|
||||
---
|
||||
### Autobatching Enabled = true
|
||||
### Processing Tasks:
|
||||
[]
|
||||
----------------------------------------------------------------------
|
||||
### All Tasks:
|
||||
0 {uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), url: NotSet, query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), url: NotSet, query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
|
||||
1 {uid: 1, status: succeeded, details: { received_documents: 1, indexed_documents: Some(1) }, kind: DocumentAdditionOrUpdate { index_uid: "doggos", primary_key: Some("id"), method: UpdateDocuments, content_file: 00000000-0000-0000-0000-000000000000, documents_count: 1, allow_index_creation: true }}
|
||||
----------------------------------------------------------------------
|
||||
### Status:
|
||||
enqueued []
|
||||
succeeded [0,1,]
|
||||
----------------------------------------------------------------------
|
||||
### Kind:
|
||||
"documentAdditionOrUpdate" [1,]
|
||||
"settingsUpdate" [0,]
|
||||
----------------------------------------------------------------------
|
||||
### Index Tasks:
|
||||
doggos [0,1,]
|
||||
----------------------------------------------------------------------
|
||||
### Index Mapper:
|
||||
doggos: { number_of_documents: 1, field_distribution: {"_vectors": 1, "breed": 1, "doggo": 1, "id": 1} }
|
||||
|
||||
----------------------------------------------------------------------
|
||||
### Canceled By:
|
||||
|
||||
----------------------------------------------------------------------
|
||||
### Enqueued At:
|
||||
[timestamp] [0,]
|
||||
[timestamp] [1,]
|
||||
----------------------------------------------------------------------
|
||||
### Started At:
|
||||
[timestamp] [0,]
|
||||
[timestamp] [1,]
|
||||
----------------------------------------------------------------------
|
||||
### Finished At:
|
||||
[timestamp] [0,]
|
||||
[timestamp] [1,]
|
||||
----------------------------------------------------------------------
|
||||
### File Store:
|
||||
|
||||
----------------------------------------------------------------------
|
||||
|
||||
@ -1,44 +0,0 @@
|
||||
---
|
||||
source: index-scheduler/src/lib.rs
|
||||
---
|
||||
### Autobatching Enabled = true
|
||||
### Processing Tasks:
|
||||
[]
|
||||
----------------------------------------------------------------------
|
||||
### All Tasks:
|
||||
0 {uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), url: NotSet, query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), url: NotSet, query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
|
||||
1 {uid: 1, status: enqueued, details: { received_documents: 1, indexed_documents: None }, kind: DocumentAdditionOrUpdate { index_uid: "doggos", primary_key: Some("id"), method: UpdateDocuments, content_file: 00000000-0000-0000-0000-000000000000, documents_count: 1, allow_index_creation: true }}
|
||||
----------------------------------------------------------------------
|
||||
### Status:
|
||||
enqueued [1,]
|
||||
succeeded [0,]
|
||||
----------------------------------------------------------------------
|
||||
### Kind:
|
||||
"documentAdditionOrUpdate" [1,]
|
||||
"settingsUpdate" [0,]
|
||||
----------------------------------------------------------------------
|
||||
### Index Tasks:
|
||||
doggos [0,1,]
|
||||
----------------------------------------------------------------------
|
||||
### Index Mapper:
|
||||
doggos: { number_of_documents: 0, field_distribution: {} }
|
||||
|
||||
----------------------------------------------------------------------
|
||||
### Canceled By:
|
||||
|
||||
----------------------------------------------------------------------
|
||||
### Enqueued At:
|
||||
[timestamp] [0,]
|
||||
[timestamp] [1,]
|
||||
----------------------------------------------------------------------
|
||||
### Started At:
|
||||
[timestamp] [0,]
|
||||
----------------------------------------------------------------------
|
||||
### Finished At:
|
||||
[timestamp] [0,]
|
||||
----------------------------------------------------------------------
|
||||
### File Store:
|
||||
00000000-0000-0000-0000-000000000000
|
||||
|
||||
----------------------------------------------------------------------
|
||||
|
||||
@ -1,36 +0,0 @@
|
||||
---
|
||||
source: index-scheduler/src/lib.rs
|
||||
---
|
||||
### Autobatching Enabled = true
|
||||
### Processing Tasks:
|
||||
[]
|
||||
----------------------------------------------------------------------
|
||||
### All Tasks:
|
||||
0 {uid: 0, status: enqueued, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), url: NotSet, query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), url: NotSet, query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
|
||||
----------------------------------------------------------------------
|
||||
### Status:
|
||||
enqueued [0,]
|
||||
----------------------------------------------------------------------
|
||||
### Kind:
|
||||
"settingsUpdate" [0,]
|
||||
----------------------------------------------------------------------
|
||||
### Index Tasks:
|
||||
doggos [0,]
|
||||
----------------------------------------------------------------------
|
||||
### Index Mapper:
|
||||
|
||||
----------------------------------------------------------------------
|
||||
### Canceled By:
|
||||
|
||||
----------------------------------------------------------------------
|
||||
### Enqueued At:
|
||||
[timestamp] [0,]
|
||||
----------------------------------------------------------------------
|
||||
### Started At:
|
||||
----------------------------------------------------------------------
|
||||
### Finished At:
|
||||
----------------------------------------------------------------------
|
||||
### File Store:
|
||||
|
||||
----------------------------------------------------------------------
|
||||
|
||||
@ -1,40 +0,0 @@
|
||||
---
|
||||
source: index-scheduler/src/lib.rs
|
||||
---
|
||||
### Autobatching Enabled = true
|
||||
### Processing Tasks:
|
||||
[]
|
||||
----------------------------------------------------------------------
|
||||
### All Tasks:
|
||||
0 {uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), url: NotSet, query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), url: NotSet, query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
|
||||
----------------------------------------------------------------------
|
||||
### Status:
|
||||
enqueued []
|
||||
succeeded [0,]
|
||||
----------------------------------------------------------------------
|
||||
### Kind:
|
||||
"settingsUpdate" [0,]
|
||||
----------------------------------------------------------------------
|
||||
### Index Tasks:
|
||||
doggos [0,]
|
||||
----------------------------------------------------------------------
|
||||
### Index Mapper:
|
||||
doggos: { number_of_documents: 0, field_distribution: {} }
|
||||
|
||||
----------------------------------------------------------------------
|
||||
### Canceled By:
|
||||
|
||||
----------------------------------------------------------------------
|
||||
### Enqueued At:
|
||||
[timestamp] [0,]
|
||||
----------------------------------------------------------------------
|
||||
### Started At:
|
||||
[timestamp] [0,]
|
||||
----------------------------------------------------------------------
|
||||
### Finished At:
|
||||
[timestamp] [0,]
|
||||
----------------------------------------------------------------------
|
||||
### File Store:
|
||||
|
||||
----------------------------------------------------------------------
|
||||
|
||||
File diff suppressed because one or more lines are too long
@ -1,36 +0,0 @@
|
||||
---
|
||||
source: index-scheduler/src/lib.rs
|
||||
---
|
||||
### Autobatching Enabled = true
|
||||
### Processing Tasks:
|
||||
[]
|
||||
----------------------------------------------------------------------
|
||||
### All Tasks:
|
||||
0 {uid: 0, status: enqueued, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"default": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(4), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"default": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(4), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
|
||||
----------------------------------------------------------------------
|
||||
### Status:
|
||||
enqueued [0,]
|
||||
----------------------------------------------------------------------
|
||||
### Kind:
|
||||
"settingsUpdate" [0,]
|
||||
----------------------------------------------------------------------
|
||||
### Index Tasks:
|
||||
doggos [0,]
|
||||
----------------------------------------------------------------------
|
||||
### Index Mapper:
|
||||
|
||||
----------------------------------------------------------------------
|
||||
### Canceled By:
|
||||
|
||||
----------------------------------------------------------------------
|
||||
### Enqueued At:
|
||||
[timestamp] [0,]
|
||||
----------------------------------------------------------------------
|
||||
### Started At:
|
||||
----------------------------------------------------------------------
|
||||
### Finished At:
|
||||
----------------------------------------------------------------------
|
||||
### File Store:
|
||||
|
||||
----------------------------------------------------------------------
|
||||
|
||||
@ -1,40 +0,0 @@
|
||||
---
|
||||
source: index-scheduler/src/lib.rs
|
||||
---
|
||||
### Autobatching Enabled = true
|
||||
### Processing Tasks:
|
||||
[]
|
||||
----------------------------------------------------------------------
|
||||
### All Tasks:
|
||||
0 {uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"default": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(4), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"default": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(4), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
|
||||
----------------------------------------------------------------------
|
||||
### Status:
|
||||
enqueued []
|
||||
succeeded [0,]
|
||||
----------------------------------------------------------------------
|
||||
### Kind:
|
||||
"settingsUpdate" [0,]
|
||||
----------------------------------------------------------------------
|
||||
### Index Tasks:
|
||||
doggos [0,]
|
||||
----------------------------------------------------------------------
|
||||
### Index Mapper:
|
||||
doggos: { number_of_documents: 0, field_distribution: {} }
|
||||
|
||||
----------------------------------------------------------------------
|
||||
### Canceled By:
|
||||
|
||||
----------------------------------------------------------------------
|
||||
### Enqueued At:
|
||||
[timestamp] [0,]
|
||||
----------------------------------------------------------------------
|
||||
### Started At:
|
||||
[timestamp] [0,]
|
||||
----------------------------------------------------------------------
|
||||
### Finished At:
|
||||
[timestamp] [0,]
|
||||
----------------------------------------------------------------------
|
||||
### File Store:
|
||||
|
||||
----------------------------------------------------------------------
|
||||
|
||||
@ -272,9 +272,9 @@ pub fn swap_index_uid_in_task(task: &mut Task, swap: (&str, &str)) {
|
||||
}
|
||||
for index_uid in index_uids {
|
||||
if index_uid == swap.0 {
|
||||
swap.1.clone_into(index_uid);
|
||||
*index_uid = swap.1.to_owned();
|
||||
} else if index_uid == swap.1 {
|
||||
swap.0.clone_into(index_uid);
|
||||
*index_uid = swap.0.to_owned();
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@ -49,7 +49,7 @@ pub fn open_auth_store_env(path: &Path) -> milli::heed::Result<milli::heed::Env>
|
||||
let mut options = EnvOpenOptions::new();
|
||||
options.map_size(AUTH_STORE_SIZE); // 1GB
|
||||
options.max_dbs(2);
|
||||
unsafe { options.open(path) }
|
||||
options.open(path)
|
||||
}
|
||||
|
||||
impl HeedAuthStore {
|
||||
|
||||
@ -11,7 +11,7 @@ edition.workspace = true
|
||||
license.workspace = true
|
||||
|
||||
[dependencies]
|
||||
actix-web = { version = "4.6.0", default-features = false }
|
||||
actix-web = { version = "4.4.1", default-features = false }
|
||||
anyhow = "1.0.79"
|
||||
convert_case = "0.6.0"
|
||||
csv = "1.3.0"
|
||||
@ -30,12 +30,7 @@ serde_json = "1.0.111"
|
||||
tar = "0.4.40"
|
||||
tempfile = "3.9.0"
|
||||
thiserror = "1.0.56"
|
||||
time = { version = "0.3.31", features = [
|
||||
"serde-well-known",
|
||||
"formatting",
|
||||
"parsing",
|
||||
"macros",
|
||||
] }
|
||||
time = { version = "0.3.31", features = ["serde-well-known", "formatting", "parsing", "macros"] }
|
||||
tokio = "1.35"
|
||||
uuid = { version = "1.6.1", features = ["serde", "v4"] }
|
||||
|
||||
@ -49,7 +44,6 @@ all-tokenizations = ["milli/all-tokenizations"]
|
||||
|
||||
# chinese specialized tokenization
|
||||
chinese = ["milli/chinese"]
|
||||
chinese-pinyin = ["milli/chinese-pinyin"]
|
||||
# hebrew specialized tokenization
|
||||
hebrew = ["milli/hebrew"]
|
||||
# japanese specialized tokenization
|
||||
@ -62,5 +56,3 @@ greek = ["milli/greek"]
|
||||
khmer = ["milli/khmer"]
|
||||
# allow vietnamese specialized tokenization
|
||||
vietnamese = ["milli/vietnamese"]
|
||||
# force swedish character recomposition
|
||||
swedish-recomposition = ["milli/swedish-recomposition"]
|
||||
|
||||
@ -26,7 +26,7 @@ pub type DeserrQueryParamError<C = BadRequest> = DeserrError<DeserrQueryParam, C
|
||||
|
||||
/// A request deserialization error.
|
||||
///
|
||||
/// The first generic parameter is a marker type describing the format of the request: either json (e.g. [`DeserrJson`] or [`DeserrQueryParam`]).
|
||||
/// The first generic paramater is a marker type describing the format of the request: either json (e.g. [`DeserrJson`] or [`DeserrQueryParam`]).
|
||||
/// The second generic parameter is the default error code for the deserialization error, in case it is not given.
|
||||
pub struct DeserrError<Format, C: Default + ErrorCode> {
|
||||
pub msg: String,
|
||||
@ -189,6 +189,3 @@ merge_with_error_impl_take_error_message!(ParseTaskKindError);
|
||||
merge_with_error_impl_take_error_message!(ParseTaskStatusError);
|
||||
merge_with_error_impl_take_error_message!(IndexUidFormatError);
|
||||
merge_with_error_impl_take_error_message!(InvalidSearchSemanticRatio);
|
||||
merge_with_error_impl_take_error_message!(InvalidSearchRankingScoreThreshold);
|
||||
merge_with_error_impl_take_error_message!(InvalidSimilarRankingScoreThreshold);
|
||||
merge_with_error_impl_take_error_message!(InvalidSimilarId);
|
||||
|
||||
@ -2,7 +2,6 @@ use std::{fmt, io};
|
||||
|
||||
use actix_web::http::StatusCode;
|
||||
use actix_web::{self as aweb, HttpResponseBuilder};
|
||||
use aweb::http::header;
|
||||
use aweb::rt::task::JoinError;
|
||||
use convert_case::Casing;
|
||||
use milli::heed::{Error as HeedError, MdbError};
|
||||
@ -57,14 +56,7 @@ where
|
||||
impl aweb::error::ResponseError for ResponseError {
|
||||
fn error_response(&self) -> aweb::HttpResponse {
|
||||
let json = serde_json::to_vec(self).unwrap();
|
||||
let mut builder = HttpResponseBuilder::new(self.status_code());
|
||||
builder.content_type("application/json");
|
||||
|
||||
if self.code == StatusCode::SERVICE_UNAVAILABLE {
|
||||
builder.insert_header((header::RETRY_AFTER, "10"));
|
||||
}
|
||||
|
||||
builder.body(json)
|
||||
HttpResponseBuilder::new(self.status_code()).content_type("application/json").body(json)
|
||||
}
|
||||
|
||||
fn status_code(&self) -> StatusCode {
|
||||
@ -222,7 +214,6 @@ InvalidApiKeyUid , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidContentType , InvalidRequest , UNSUPPORTED_MEDIA_TYPE ;
|
||||
InvalidDocumentCsvDelimiter , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidDocumentFields , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidDocumentRetrieveVectors , InvalidRequest , BAD_REQUEST ;
|
||||
MissingDocumentFilter , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidDocumentFilter , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidDocumentGeoField , InvalidRequest , BAD_REQUEST ;
|
||||
@ -240,27 +231,18 @@ InvalidIndexUid , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSearchAttributesToSearchOn , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSearchAttributesToCrop , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSearchAttributesToHighlight , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSimilarAttributesToRetrieve , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSimilarRetrieveVectors , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSearchAttributesToRetrieve , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSearchRankingScoreThreshold , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSimilarRankingScoreThreshold , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSearchRetrieveVectors , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSearchCropLength , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSearchCropMarker , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSearchFacets , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSearchSemanticRatio , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidFacetSearchFacetName , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSimilarId , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSearchFilter , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSimilarFilter , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSearchHighlightPostTag , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSearchHighlightPreTag , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSearchHitsPerPage , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSimilarLimit , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSearchLimit , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSearchMatchingStrategy , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSimilarOffset , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSearchOffset , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSearchPage , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSearchQ , InvalidRequest , BAD_REQUEST ;
|
||||
@ -269,18 +251,14 @@ InvalidFacetSearchName , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSearchVector , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSearchShowMatchesPosition , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSearchShowRankingScore , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSimilarShowRankingScore , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSearchShowRankingScoreDetails , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSimilarShowRankingScoreDetails , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSearchSort , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSearchDistinct , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSettingsDisplayedAttributes , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSettingsDistinctAttribute , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSettingsProximityPrecision , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSettingsFaceting , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSettingsFilterableAttributes , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSettingsPagination , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSettingsSearchCutoffMs , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSettingsEmbedders , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSettingsRankingRules , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidSettingsSearchableAttributes , InvalidRequest , BAD_REQUEST ;
|
||||
@ -326,7 +304,6 @@ MissingSwapIndexes , InvalidRequest , BAD_REQUEST ;
|
||||
MissingTaskFilters , InvalidRequest , BAD_REQUEST ;
|
||||
NoSpaceLeftOnDevice , System , UNPROCESSABLE_ENTITY;
|
||||
PayloadTooLarge , InvalidRequest , PAYLOAD_TOO_LARGE ;
|
||||
TooManySearchRequests , System , SERVICE_UNAVAILABLE ;
|
||||
TaskNotFound , InvalidRequest , NOT_FOUND ;
|
||||
TooManyOpenFiles , System , UNPROCESSABLE_ENTITY ;
|
||||
TooManyVectors , InvalidRequest , BAD_REQUEST ;
|
||||
@ -335,8 +312,7 @@ UnretrievableErrorCode , InvalidRequest , BAD_REQUEST ;
|
||||
UnsupportedMediaType , InvalidRequest , UNSUPPORTED_MEDIA_TYPE ;
|
||||
|
||||
// Experimental features
|
||||
VectorEmbeddingError , InvalidRequest , BAD_REQUEST ;
|
||||
NotFoundSimilarId , InvalidRequest , BAD_REQUEST
|
||||
VectorEmbeddingError , InvalidRequest , BAD_REQUEST
|
||||
}
|
||||
|
||||
impl ErrorCode for JoinError {
|
||||
@ -376,7 +352,6 @@ impl ErrorCode for milli::Error {
|
||||
| UserError::InvalidOpenAiModelDimensions { .. }
|
||||
| UserError::InvalidOpenAiModelDimensionsMax { .. }
|
||||
| UserError::InvalidSettingsDimensions { .. }
|
||||
| UserError::InvalidUrl { .. }
|
||||
| UserError::InvalidPrompt(_) => Code::InvalidSettingsEmbedders,
|
||||
UserError::TooManyEmbedders(_) => Code::InvalidSettingsEmbedders,
|
||||
UserError::InvalidPromptForEmbeddings(..) => Code::InvalidSettingsEmbedders,
|
||||
@ -385,7 +360,6 @@ impl ErrorCode for milli::Error {
|
||||
Code::IndexPrimaryKeyMultipleCandidatesFound
|
||||
}
|
||||
UserError::PrimaryKeyCannotBeChanged(_) => Code::IndexPrimaryKeyAlreadyExists,
|
||||
UserError::InvalidDistinctAttribute { .. } => Code::InvalidSearchDistinct,
|
||||
UserError::SortRankingRuleMissing => Code::InvalidSearchSort,
|
||||
UserError::InvalidFacetsDistribution { .. } => Code::InvalidSearchFacets,
|
||||
UserError::InvalidSortableAttribute { .. } => Code::InvalidSearchSort,
|
||||
@ -398,8 +372,8 @@ impl ErrorCode for milli::Error {
|
||||
UserError::CriterionError(_) => Code::InvalidSettingsRankingRules,
|
||||
UserError::InvalidGeoField { .. } => Code::InvalidDocumentGeoField,
|
||||
UserError::InvalidVectorDimensions { .. } => Code::InvalidVectorDimensions,
|
||||
UserError::InvalidVectorsMapType { .. }
|
||||
| UserError::InvalidVectorsEmbedderConf { .. } => Code::InvalidVectorsType,
|
||||
UserError::InvalidVectorsMapType { .. } => Code::InvalidVectorsType,
|
||||
UserError::InvalidVectorsType { .. } => Code::InvalidVectorsType,
|
||||
UserError::TooManyVectors(_, _) => Code::TooManyVectors,
|
||||
UserError::SortError(_) => Code::InvalidSearchSort,
|
||||
UserError::InvalidMinTypoWordLenSetting(_, _) => {
|
||||
@ -438,6 +412,7 @@ impl ErrorCode for HeedError {
|
||||
HeedError::Mdb(_)
|
||||
| HeedError::Encoding(_)
|
||||
| HeedError::Decoding(_)
|
||||
| HeedError::InvalidDatabaseTyping
|
||||
| HeedError::DatabaseClosing
|
||||
| HeedError::BadOpenOptions { .. } => Code::Internal,
|
||||
}
|
||||
@ -502,32 +477,6 @@ impl fmt::Display for deserr_codes::InvalidSearchSemanticRatio {
|
||||
}
|
||||
}
|
||||
|
||||
impl fmt::Display for deserr_codes::InvalidSimilarId {
|
||||
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
|
||||
write!(
|
||||
f,
|
||||
"the value of `id` is invalid. \
|
||||
A document identifier can be of type integer or string, \
|
||||
only composed of alphanumeric characters (a-z A-Z 0-9), hyphens (-) and underscores (_)."
|
||||
)
|
||||
}
|
||||
}
|
||||
|
||||
impl fmt::Display for deserr_codes::InvalidSearchRankingScoreThreshold {
|
||||
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
|
||||
write!(
|
||||
f,
|
||||
"the value of `rankingScoreThreshold` is invalid, expected a float between `0.0` and `1.0`."
|
||||
)
|
||||
}
|
||||
}
|
||||
|
||||
impl fmt::Display for deserr_codes::InvalidSimilarRankingScoreThreshold {
|
||||
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
|
||||
deserr_codes::InvalidSearchRankingScoreThreshold.fmt(f)
|
||||
}
|
||||
}
|
||||
|
||||
#[macro_export]
|
||||
macro_rules! internal_error {
|
||||
($target:ty : $($other:path), *) => {
|
||||
|
||||
@ -6,6 +6,7 @@ pub struct RuntimeTogglableFeatures {
|
||||
pub vector_store: bool,
|
||||
pub metrics: bool,
|
||||
pub logs_route: bool,
|
||||
pub export_puffin_reports: bool,
|
||||
}
|
||||
|
||||
#[derive(Default, Debug, Clone, Copy)]
|
||||
|
||||
@ -3,12 +3,11 @@ use std::convert::Infallible;
|
||||
use std::fmt;
|
||||
use std::marker::PhantomData;
|
||||
use std::num::NonZeroUsize;
|
||||
use std::ops::{ControlFlow, Deref};
|
||||
use std::ops::ControlFlow;
|
||||
use std::str::FromStr;
|
||||
|
||||
use deserr::{DeserializeError, Deserr, ErrorKind, MergeWithError, ValuePointerRef};
|
||||
use fst::IntoStreamer;
|
||||
use milli::index::IndexEmbeddingConfig;
|
||||
use milli::proximity::ProximityPrecision;
|
||||
use milli::update::Setting;
|
||||
use milli::{Criterion, CriterionError, Index, DEFAULT_VALUES_PER_FACET};
|
||||
@ -144,13 +143,21 @@ impl MergeWithError<milli::CriterionError> for DeserrJsonError<InvalidSettingsRa
|
||||
)]
|
||||
#[deserr(error = DeserrJsonError, rename_all = camelCase, deny_unknown_fields)]
|
||||
pub struct Settings<T> {
|
||||
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
|
||||
#[serde(
|
||||
default,
|
||||
serialize_with = "serialize_with_wildcard",
|
||||
skip_serializing_if = "Setting::is_not_set"
|
||||
)]
|
||||
#[deserr(default, error = DeserrJsonError<InvalidSettingsDisplayedAttributes>)]
|
||||
pub displayed_attributes: WildcardSetting,
|
||||
pub displayed_attributes: Setting<Vec<String>>,
|
||||
|
||||
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
|
||||
#[serde(
|
||||
default,
|
||||
serialize_with = "serialize_with_wildcard",
|
||||
skip_serializing_if = "Setting::is_not_set"
|
||||
)]
|
||||
#[deserr(default, error = DeserrJsonError<InvalidSettingsSearchableAttributes>)]
|
||||
pub searchable_attributes: WildcardSetting,
|
||||
pub searchable_attributes: Setting<Vec<String>>,
|
||||
|
||||
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
|
||||
#[deserr(default, error = DeserrJsonError<InvalidSettingsFilterableAttributes>)]
|
||||
@ -195,57 +202,17 @@ pub struct Settings<T> {
|
||||
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
|
||||
#[deserr(default, error = DeserrJsonError<InvalidSettingsEmbedders>)]
|
||||
pub embedders: Setting<BTreeMap<String, Setting<milli::vector::settings::EmbeddingSettings>>>,
|
||||
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
|
||||
#[deserr(default, error = DeserrJsonError<InvalidSettingsSearchCutoffMs>)]
|
||||
pub search_cutoff_ms: Setting<u64>,
|
||||
|
||||
#[serde(skip)]
|
||||
#[deserr(skip)]
|
||||
pub _kind: PhantomData<T>,
|
||||
}
|
||||
|
||||
impl<T> Settings<T> {
|
||||
pub fn hide_secrets(&mut self) {
|
||||
let Setting::Set(embedders) = &mut self.embedders else {
|
||||
return;
|
||||
};
|
||||
|
||||
for mut embedder in embedders.values_mut() {
|
||||
let Setting::Set(embedder) = &mut embedder else {
|
||||
continue;
|
||||
};
|
||||
|
||||
let Setting::Set(api_key) = &mut embedder.api_key else {
|
||||
continue;
|
||||
};
|
||||
|
||||
Self::hide_secret(api_key);
|
||||
}
|
||||
}
|
||||
|
||||
fn hide_secret(secret: &mut String) {
|
||||
match secret.len() {
|
||||
x if x < 10 => {
|
||||
secret.replace_range(.., "XXX...");
|
||||
}
|
||||
x if x < 20 => {
|
||||
secret.replace_range(2.., "XXXX...");
|
||||
}
|
||||
x if x < 30 => {
|
||||
secret.replace_range(3.., "XXXXX...");
|
||||
}
|
||||
_x => {
|
||||
secret.replace_range(5.., "XXXXXX...");
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
impl Settings<Checked> {
|
||||
pub fn cleared() -> Settings<Checked> {
|
||||
Settings {
|
||||
displayed_attributes: Setting::Reset.into(),
|
||||
searchable_attributes: Setting::Reset.into(),
|
||||
displayed_attributes: Setting::Reset,
|
||||
searchable_attributes: Setting::Reset,
|
||||
filterable_attributes: Setting::Reset,
|
||||
sortable_attributes: Setting::Reset,
|
||||
ranking_rules: Setting::Reset,
|
||||
@ -260,7 +227,6 @@ impl Settings<Checked> {
|
||||
faceting: Setting::Reset,
|
||||
pagination: Setting::Reset,
|
||||
embedders: Setting::Reset,
|
||||
search_cutoff_ms: Setting::Reset,
|
||||
_kind: PhantomData,
|
||||
}
|
||||
}
|
||||
@ -283,7 +249,6 @@ impl Settings<Checked> {
|
||||
faceting,
|
||||
pagination,
|
||||
embedders,
|
||||
search_cutoff_ms,
|
||||
..
|
||||
} = self;
|
||||
|
||||
@ -304,7 +269,6 @@ impl Settings<Checked> {
|
||||
faceting,
|
||||
pagination,
|
||||
embedders,
|
||||
search_cutoff_ms,
|
||||
_kind: PhantomData,
|
||||
}
|
||||
}
|
||||
@ -312,7 +276,7 @@ impl Settings<Checked> {
|
||||
|
||||
impl Settings<Unchecked> {
|
||||
pub fn check(self) -> Settings<Checked> {
|
||||
let displayed_attributes = match self.displayed_attributes.0 {
|
||||
let displayed_attributes = match self.displayed_attributes {
|
||||
Setting::Set(fields) => {
|
||||
if fields.iter().any(|f| f == "*") {
|
||||
Setting::Reset
|
||||
@ -323,7 +287,7 @@ impl Settings<Unchecked> {
|
||||
otherwise => otherwise,
|
||||
};
|
||||
|
||||
let searchable_attributes = match self.searchable_attributes.0 {
|
||||
let searchable_attributes = match self.searchable_attributes {
|
||||
Setting::Set(fields) => {
|
||||
if fields.iter().any(|f| f == "*") {
|
||||
Setting::Reset
|
||||
@ -335,8 +299,8 @@ impl Settings<Unchecked> {
|
||||
};
|
||||
|
||||
Settings {
|
||||
displayed_attributes: displayed_attributes.into(),
|
||||
searchable_attributes: searchable_attributes.into(),
|
||||
displayed_attributes,
|
||||
searchable_attributes,
|
||||
filterable_attributes: self.filterable_attributes,
|
||||
sortable_attributes: self.sortable_attributes,
|
||||
ranking_rules: self.ranking_rules,
|
||||
@ -351,7 +315,6 @@ impl Settings<Unchecked> {
|
||||
faceting: self.faceting,
|
||||
pagination: self.pagination,
|
||||
embedders: self.embedders,
|
||||
search_cutoff_ms: self.search_cutoff_ms,
|
||||
_kind: PhantomData,
|
||||
}
|
||||
}
|
||||
@ -384,40 +347,19 @@ pub fn apply_settings_to_builder(
|
||||
settings: &Settings<Checked>,
|
||||
builder: &mut milli::update::Settings,
|
||||
) {
|
||||
let Settings {
|
||||
displayed_attributes,
|
||||
searchable_attributes,
|
||||
filterable_attributes,
|
||||
sortable_attributes,
|
||||
ranking_rules,
|
||||
stop_words,
|
||||
non_separator_tokens,
|
||||
separator_tokens,
|
||||
dictionary,
|
||||
synonyms,
|
||||
distinct_attribute,
|
||||
proximity_precision,
|
||||
typo_tolerance,
|
||||
faceting,
|
||||
pagination,
|
||||
embedders,
|
||||
search_cutoff_ms,
|
||||
_kind,
|
||||
} = settings;
|
||||
|
||||
match searchable_attributes.deref() {
|
||||
match settings.searchable_attributes {
|
||||
Setting::Set(ref names) => builder.set_searchable_fields(names.clone()),
|
||||
Setting::Reset => builder.reset_searchable_fields(),
|
||||
Setting::NotSet => (),
|
||||
}
|
||||
|
||||
match displayed_attributes.deref() {
|
||||
match settings.displayed_attributes {
|
||||
Setting::Set(ref names) => builder.set_displayed_fields(names.clone()),
|
||||
Setting::Reset => builder.reset_displayed_fields(),
|
||||
Setting::NotSet => (),
|
||||
}
|
||||
|
||||
match filterable_attributes {
|
||||
match settings.filterable_attributes {
|
||||
Setting::Set(ref facets) => {
|
||||
builder.set_filterable_fields(facets.clone().into_iter().collect())
|
||||
}
|
||||
@ -425,13 +367,13 @@ pub fn apply_settings_to_builder(
|
||||
Setting::NotSet => (),
|
||||
}
|
||||
|
||||
match sortable_attributes {
|
||||
match settings.sortable_attributes {
|
||||
Setting::Set(ref fields) => builder.set_sortable_fields(fields.iter().cloned().collect()),
|
||||
Setting::Reset => builder.reset_sortable_fields(),
|
||||
Setting::NotSet => (),
|
||||
}
|
||||
|
||||
match ranking_rules {
|
||||
match settings.ranking_rules {
|
||||
Setting::Set(ref criteria) => {
|
||||
builder.set_criteria(criteria.iter().map(|c| c.clone().into()).collect())
|
||||
}
|
||||
@ -439,13 +381,13 @@ pub fn apply_settings_to_builder(
|
||||
Setting::NotSet => (),
|
||||
}
|
||||
|
||||
match stop_words {
|
||||
match settings.stop_words {
|
||||
Setting::Set(ref stop_words) => builder.set_stop_words(stop_words.clone()),
|
||||
Setting::Reset => builder.reset_stop_words(),
|
||||
Setting::NotSet => (),
|
||||
}
|
||||
|
||||
match non_separator_tokens {
|
||||
match settings.non_separator_tokens {
|
||||
Setting::Set(ref non_separator_tokens) => {
|
||||
builder.set_non_separator_tokens(non_separator_tokens.clone())
|
||||
}
|
||||
@ -453,7 +395,7 @@ pub fn apply_settings_to_builder(
|
||||
Setting::NotSet => (),
|
||||
}
|
||||
|
||||
match separator_tokens {
|
||||
match settings.separator_tokens {
|
||||
Setting::Set(ref separator_tokens) => {
|
||||
builder.set_separator_tokens(separator_tokens.clone())
|
||||
}
|
||||
@ -461,31 +403,31 @@ pub fn apply_settings_to_builder(
|
||||
Setting::NotSet => (),
|
||||
}
|
||||
|
||||
match dictionary {
|
||||
match settings.dictionary {
|
||||
Setting::Set(ref dictionary) => builder.set_dictionary(dictionary.clone()),
|
||||
Setting::Reset => builder.reset_dictionary(),
|
||||
Setting::NotSet => (),
|
||||
}
|
||||
|
||||
match synonyms {
|
||||
match settings.synonyms {
|
||||
Setting::Set(ref synonyms) => builder.set_synonyms(synonyms.clone().into_iter().collect()),
|
||||
Setting::Reset => builder.reset_synonyms(),
|
||||
Setting::NotSet => (),
|
||||
}
|
||||
|
||||
match distinct_attribute {
|
||||
match settings.distinct_attribute {
|
||||
Setting::Set(ref attr) => builder.set_distinct_field(attr.clone()),
|
||||
Setting::Reset => builder.reset_distinct_field(),
|
||||
Setting::NotSet => (),
|
||||
}
|
||||
|
||||
match proximity_precision {
|
||||
match settings.proximity_precision {
|
||||
Setting::Set(ref precision) => builder.set_proximity_precision((*precision).into()),
|
||||
Setting::Reset => builder.reset_proximity_precision(),
|
||||
Setting::NotSet => (),
|
||||
}
|
||||
|
||||
match typo_tolerance {
|
||||
match settings.typo_tolerance {
|
||||
Setting::Set(ref value) => {
|
||||
match value.enabled {
|
||||
Setting::Set(val) => builder.set_autorize_typos(val),
|
||||
@ -540,7 +482,7 @@ pub fn apply_settings_to_builder(
|
||||
Setting::NotSet => (),
|
||||
}
|
||||
|
||||
match faceting {
|
||||
match &settings.faceting {
|
||||
Setting::Set(FacetingSettings { max_values_per_facet, sort_facet_values_by }) => {
|
||||
match max_values_per_facet {
|
||||
Setting::Set(val) => builder.set_max_values_per_facet(*val),
|
||||
@ -562,7 +504,7 @@ pub fn apply_settings_to_builder(
|
||||
Setting::NotSet => (),
|
||||
}
|
||||
|
||||
match pagination {
|
||||
match settings.pagination {
|
||||
Setting::Set(ref value) => match value.max_total_hits {
|
||||
Setting::Set(val) => builder.set_pagination_max_total_hits(val),
|
||||
Setting::Reset => builder.reset_pagination_max_total_hits(),
|
||||
@ -572,28 +514,16 @@ pub fn apply_settings_to_builder(
|
||||
Setting::NotSet => (),
|
||||
}
|
||||
|
||||
match embedders {
|
||||
Setting::Set(value) => builder.set_embedder_settings(value.clone()),
|
||||
match settings.embedders.clone() {
|
||||
Setting::Set(value) => builder.set_embedder_settings(value),
|
||||
Setting::Reset => builder.reset_embedder_settings(),
|
||||
Setting::NotSet => (),
|
||||
}
|
||||
|
||||
match search_cutoff_ms {
|
||||
Setting::Set(cutoff) => builder.set_search_cutoff(*cutoff),
|
||||
Setting::Reset => builder.reset_search_cutoff(),
|
||||
Setting::NotSet => (),
|
||||
}
|
||||
}
|
||||
|
||||
pub enum SecretPolicy {
|
||||
RevealSecrets,
|
||||
HideSecrets,
|
||||
}
|
||||
|
||||
pub fn settings(
|
||||
index: &Index,
|
||||
rtxn: &crate::heed::RoTxn,
|
||||
secret_policy: SecretPolicy,
|
||||
) -> Result<Settings<Checked>, milli::Error> {
|
||||
let displayed_attributes =
|
||||
index.displayed_fields(rtxn)?.map(|fields| fields.into_iter().map(String::from).collect());
|
||||
@ -673,23 +603,19 @@ pub fn settings(
|
||||
let embedders: BTreeMap<_, _> = index
|
||||
.embedding_configs(rtxn)?
|
||||
.into_iter()
|
||||
.map(|IndexEmbeddingConfig { name, config, .. }| (name, Setting::Set(config.into())))
|
||||
.map(|(name, config)| (name, Setting::Set(config.into())))
|
||||
.collect();
|
||||
let embedders = if embedders.is_empty() { Setting::NotSet } else { Setting::Set(embedders) };
|
||||
|
||||
let search_cutoff_ms = index.search_cutoff(rtxn)?;
|
||||
|
||||
let mut settings = Settings {
|
||||
Ok(Settings {
|
||||
displayed_attributes: match displayed_attributes {
|
||||
Some(attrs) => Setting::Set(attrs),
|
||||
None => Setting::Reset,
|
||||
}
|
||||
.into(),
|
||||
},
|
||||
searchable_attributes: match searchable_attributes {
|
||||
Some(attrs) => Setting::Set(attrs),
|
||||
None => Setting::Reset,
|
||||
}
|
||||
.into(),
|
||||
},
|
||||
filterable_attributes: Setting::Set(filterable_attributes),
|
||||
sortable_attributes: Setting::Set(sortable_attributes),
|
||||
ranking_rules: Setting::Set(criteria.iter().map(|c| c.clone().into()).collect()),
|
||||
@ -707,18 +633,8 @@ pub fn settings(
|
||||
faceting: Setting::Set(faceting),
|
||||
pagination: Setting::Set(pagination),
|
||||
embedders,
|
||||
search_cutoff_ms: match search_cutoff_ms {
|
||||
Some(cutoff) => Setting::Set(cutoff),
|
||||
None => Setting::Reset,
|
||||
},
|
||||
_kind: PhantomData,
|
||||
};
|
||||
|
||||
if let SecretPolicy::HideSecrets = secret_policy {
|
||||
settings.hide_secrets()
|
||||
}
|
||||
|
||||
Ok(settings)
|
||||
})
|
||||
}
|
||||
|
||||
#[derive(Debug, Clone, PartialEq, Eq, Deserr)]
|
||||
@ -843,41 +759,6 @@ impl From<ProximityPrecisionView> for ProximityPrecision {
|
||||
}
|
||||
}
|
||||
|
||||
#[derive(Debug, Clone, Default, Deserialize, PartialEq, Eq)]
|
||||
pub struct WildcardSetting(Setting<Vec<String>>);
|
||||
|
||||
impl From<Setting<Vec<String>>> for WildcardSetting {
|
||||
fn from(setting: Setting<Vec<String>>) -> Self {
|
||||
Self(setting)
|
||||
}
|
||||
}
|
||||
|
||||
impl Serialize for WildcardSetting {
|
||||
fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Error>
|
||||
where
|
||||
S: Serializer,
|
||||
{
|
||||
serialize_with_wildcard(&self.0, serializer)
|
||||
}
|
||||
}
|
||||
|
||||
impl<E: deserr::DeserializeError> Deserr<E> for WildcardSetting {
|
||||
fn deserialize_from_value<V: deserr::IntoValue>(
|
||||
value: deserr::Value<V>,
|
||||
location: ValuePointerRef<'_>,
|
||||
) -> Result<Self, E> {
|
||||
Ok(Self(Setting::deserialize_from_value(value, location)?))
|
||||
}
|
||||
}
|
||||
|
||||
impl std::ops::Deref for WildcardSetting {
|
||||
type Target = Setting<Vec<String>>;
|
||||
|
||||
fn deref(&self) -> &Self::Target {
|
||||
&self.0
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
pub(crate) mod test {
|
||||
use super::*;
|
||||
@ -886,8 +767,8 @@ pub(crate) mod test {
|
||||
fn test_setting_check() {
|
||||
// test no changes
|
||||
let settings = Settings {
|
||||
displayed_attributes: Setting::Set(vec![String::from("hello")]).into(),
|
||||
searchable_attributes: Setting::Set(vec![String::from("hello")]).into(),
|
||||
displayed_attributes: Setting::Set(vec![String::from("hello")]),
|
||||
searchable_attributes: Setting::Set(vec![String::from("hello")]),
|
||||
filterable_attributes: Setting::NotSet,
|
||||
sortable_attributes: Setting::NotSet,
|
||||
ranking_rules: Setting::NotSet,
|
||||
@ -902,7 +783,6 @@ pub(crate) mod test {
|
||||
faceting: Setting::NotSet,
|
||||
pagination: Setting::NotSet,
|
||||
embedders: Setting::NotSet,
|
||||
search_cutoff_ms: Setting::NotSet,
|
||||
_kind: PhantomData::<Unchecked>,
|
||||
};
|
||||
|
||||
@ -913,9 +793,8 @@ pub(crate) mod test {
|
||||
// test wildcard
|
||||
// test no changes
|
||||
let settings = Settings {
|
||||
displayed_attributes: Setting::Set(vec![String::from("*")]).into(),
|
||||
searchable_attributes: Setting::Set(vec![String::from("hello"), String::from("*")])
|
||||
.into(),
|
||||
displayed_attributes: Setting::Set(vec![String::from("*")]),
|
||||
searchable_attributes: Setting::Set(vec![String::from("hello"), String::from("*")]),
|
||||
filterable_attributes: Setting::NotSet,
|
||||
sortable_attributes: Setting::NotSet,
|
||||
ranking_rules: Setting::NotSet,
|
||||
@ -930,12 +809,11 @@ pub(crate) mod test {
|
||||
faceting: Setting::NotSet,
|
||||
pagination: Setting::NotSet,
|
||||
embedders: Setting::NotSet,
|
||||
search_cutoff_ms: Setting::NotSet,
|
||||
_kind: PhantomData::<Unchecked>,
|
||||
};
|
||||
|
||||
let checked = settings.check();
|
||||
assert_eq!(checked.displayed_attributes, Setting::Reset.into());
|
||||
assert_eq!(checked.searchable_attributes, Setting::Reset.into());
|
||||
assert_eq!(checked.displayed_attributes, Setting::Reset);
|
||||
assert_eq!(checked.searchable_attributes, Setting::Reset);
|
||||
}
|
||||
}
|
||||
|
||||
@ -86,8 +86,7 @@ impl From<Details> for DetailsView {
|
||||
..DetailsView::default()
|
||||
}
|
||||
}
|
||||
Details::SettingsUpdate { mut settings } => {
|
||||
settings.hide_secrets();
|
||||
Details::SettingsUpdate { settings } => {
|
||||
DetailsView { settings: Some(settings), ..DetailsView::default() }
|
||||
}
|
||||
Details::IndexInfo { primary_key } => {
|
||||
|
||||
@ -14,20 +14,20 @@ default-run = "meilisearch"
|
||||
|
||||
[dependencies]
|
||||
actix-cors = "0.7.0"
|
||||
actix-http = { version = "3.7.0", default-features = false, features = [
|
||||
actix-http = { version = "3.5.1", default-features = false, features = [
|
||||
"compress-brotli",
|
||||
"compress-gzip",
|
||||
"rustls-0_21",
|
||||
"rustls",
|
||||
] }
|
||||
actix-utils = "3.0.1"
|
||||
actix-web = { version = "4.6.0", default-features = false, features = [
|
||||
actix-web = { version = "4.4.1", default-features = false, features = [
|
||||
"macros",
|
||||
"compress-brotli",
|
||||
"compress-gzip",
|
||||
"cookies",
|
||||
"rustls-0_21",
|
||||
"rustls",
|
||||
] }
|
||||
actix-web-static-files = { version = "4.0.1", optional = true }
|
||||
actix-web-static-files = { git = "https://github.com/kilork/actix-web-static-files.git", rev = "2d3b6160", optional = true }
|
||||
anyhow = { version = "1.0.79", features = ["backtrace"] }
|
||||
async-stream = "0.3.5"
|
||||
async-trait = "0.1.77"
|
||||
@ -52,7 +52,7 @@ index-scheduler = { path = "../index-scheduler" }
|
||||
indexmap = { version = "2.1.0", features = ["serde"] }
|
||||
is-terminal = "0.4.10"
|
||||
itertools = "0.11.0"
|
||||
jsonwebtoken = "9.2.0"
|
||||
jsonwebtoken = "8.3.0"
|
||||
lazy_static = "1.4.0"
|
||||
meilisearch-auth = { path = "../meilisearch-auth" }
|
||||
meilisearch-types = { path = "../meilisearch-types" }
|
||||
@ -67,6 +67,7 @@ permissive-json-pointer = { path = "../permissive-json-pointer" }
|
||||
pin-project-lite = "0.2.13"
|
||||
platform-dirs = "0.3.0"
|
||||
prometheus = { version = "0.13.3", features = ["process"] }
|
||||
puffin = { version = "0.16.0", features = ["serialization"] }
|
||||
rand = "0.8.5"
|
||||
rayon = "1.8.0"
|
||||
regex = "1.10.2"
|
||||
@ -74,7 +75,7 @@ reqwest = { version = "0.11.23", features = [
|
||||
"rustls-tls",
|
||||
"json",
|
||||
], default-features = false }
|
||||
rustls = "0.21.12"
|
||||
rustls = "0.20.8"
|
||||
rustls-pemfile = "1.0.2"
|
||||
segment = { version = "0.2.3", optional = true }
|
||||
serde = { version = "1.0.195", features = ["derive"] }
|
||||
@ -105,13 +106,13 @@ url = { version = "2.5.0", features = ["serde"] }
|
||||
tracing = "0.1.40"
|
||||
tracing-subscriber = { version = "0.3.18", features = ["json"] }
|
||||
tracing-trace = { version = "0.1.0", path = "../tracing-trace" }
|
||||
tracing-actix-web = "0.7.10"
|
||||
tracing-actix-web = "0.7.9"
|
||||
build-info = { version = "1.7.0", path = "../build-info" }
|
||||
|
||||
[dev-dependencies]
|
||||
actix-rt = "2.9.0"
|
||||
assert-json-diff = "2.0.2"
|
||||
brotli = "6.0.0"
|
||||
brotli = "3.4.0"
|
||||
insta = "1.34.0"
|
||||
manifest-dir-macros = "0.1.18"
|
||||
maplit = "1.0.2"
|
||||
@ -148,15 +149,13 @@ mini-dashboard = [
|
||||
"zip",
|
||||
]
|
||||
chinese = ["meilisearch-types/chinese"]
|
||||
chinese-pinyin = ["meilisearch-types/chinese-pinyin"]
|
||||
hebrew = ["meilisearch-types/hebrew"]
|
||||
japanese = ["meilisearch-types/japanese"]
|
||||
thai = ["meilisearch-types/thai"]
|
||||
greek = ["meilisearch-types/greek"]
|
||||
khmer = ["meilisearch-types/khmer"]
|
||||
vietnamese = ["meilisearch-types/vietnamese"]
|
||||
swedish-recomposition = ["meilisearch-types/swedish-recomposition"]
|
||||
|
||||
[package.metadata.mini-dashboard]
|
||||
assets-url = "https://github.com/meilisearch/mini-dashboard/releases/download/v0.2.14/build.zip"
|
||||
sha1 = "592d1b5a3459d621d0aae1dded8fe3154f5c38fe"
|
||||
assets-url = "https://github.com/meilisearch/mini-dashboard/releases/download/v0.2.13/build.zip"
|
||||
sha1 = "e20cc9b390003c6c844f4b8bcc5c5013191a77ff"
|
||||
|
||||
@ -7,6 +7,7 @@ use serde_json::Value;
|
||||
|
||||
use super::{find_user_id, Analytics, DocumentDeletionKind, DocumentFetchKind};
|
||||
use crate::routes::indexes::documents::UpdateDocumentsQuery;
|
||||
use crate::routes::tasks::TasksFilterQuery;
|
||||
use crate::Opt;
|
||||
|
||||
pub struct MockAnalytics {
|
||||
@ -25,18 +26,6 @@ impl SearchAggregator {
|
||||
pub fn succeed(&mut self, _: &dyn Any) {}
|
||||
}
|
||||
|
||||
#[derive(Default)]
|
||||
pub struct SimilarAggregator;
|
||||
|
||||
#[allow(dead_code)]
|
||||
impl SimilarAggregator {
|
||||
pub fn from_query(_: &dyn Any, _: &dyn Any) -> Self {
|
||||
Self
|
||||
}
|
||||
|
||||
pub fn succeed(&mut self, _: &dyn Any) {}
|
||||
}
|
||||
|
||||
#[derive(Default)]
|
||||
pub struct MultiSearchAggregator;
|
||||
|
||||
@ -78,8 +67,6 @@ impl Analytics for MockAnalytics {
|
||||
fn publish(&self, _event_name: String, _send: Value, _request: Option<&HttpRequest>) {}
|
||||
fn get_search(&self, _aggregate: super::SearchAggregator) {}
|
||||
fn post_search(&self, _aggregate: super::SearchAggregator) {}
|
||||
fn get_similar(&self, _aggregate: super::SimilarAggregator) {}
|
||||
fn post_similar(&self, _aggregate: super::SimilarAggregator) {}
|
||||
fn post_multi_search(&self, _aggregate: super::MultiSearchAggregator) {}
|
||||
fn post_facet_search(&self, _aggregate: super::FacetSearchAggregator) {}
|
||||
fn add_documents(
|
||||
@ -99,4 +86,6 @@ impl Analytics for MockAnalytics {
|
||||
}
|
||||
fn get_fetch_documents(&self, _documents_query: &DocumentFetchKind, _request: &HttpRequest) {}
|
||||
fn post_fetch_documents(&self, _documents_query: &DocumentFetchKind, _request: &HttpRequest) {}
|
||||
fn get_tasks(&self, _query: &TasksFilterQuery, _request: &HttpRequest) {}
|
||||
fn health_seen(&self, _request: &HttpRequest) {}
|
||||
}
|
||||
|
||||
@ -14,6 +14,7 @@ use platform_dirs::AppDirs;
|
||||
use serde_json::Value;
|
||||
|
||||
use crate::routes::indexes::documents::UpdateDocumentsQuery;
|
||||
use crate::routes::tasks::TasksFilterQuery;
|
||||
|
||||
// if the analytics feature is disabled
|
||||
// the `SegmentAnalytics` point to the mock instead of the real analytics
|
||||
@ -22,8 +23,6 @@ pub type SegmentAnalytics = mock_analytics::MockAnalytics;
|
||||
#[cfg(not(feature = "analytics"))]
|
||||
pub type SearchAggregator = mock_analytics::SearchAggregator;
|
||||
#[cfg(not(feature = "analytics"))]
|
||||
pub type SimilarAggregator = mock_analytics::SimilarAggregator;
|
||||
#[cfg(not(feature = "analytics"))]
|
||||
pub type MultiSearchAggregator = mock_analytics::MultiSearchAggregator;
|
||||
#[cfg(not(feature = "analytics"))]
|
||||
pub type FacetSearchAggregator = mock_analytics::FacetSearchAggregator;
|
||||
@ -34,8 +33,6 @@ pub type SegmentAnalytics = segment_analytics::SegmentAnalytics;
|
||||
#[cfg(feature = "analytics")]
|
||||
pub type SearchAggregator = segment_analytics::SearchAggregator;
|
||||
#[cfg(feature = "analytics")]
|
||||
pub type SimilarAggregator = segment_analytics::SimilarAggregator;
|
||||
#[cfg(feature = "analytics")]
|
||||
pub type MultiSearchAggregator = segment_analytics::MultiSearchAggregator;
|
||||
#[cfg(feature = "analytics")]
|
||||
pub type FacetSearchAggregator = segment_analytics::FacetSearchAggregator;
|
||||
@ -74,8 +71,8 @@ pub enum DocumentDeletionKind {
|
||||
|
||||
#[derive(Copy, Clone, Debug, PartialEq, Eq)]
|
||||
pub enum DocumentFetchKind {
|
||||
PerDocumentId { retrieve_vectors: bool },
|
||||
Normal { with_filter: bool, limit: usize, offset: usize, retrieve_vectors: bool },
|
||||
PerDocumentId,
|
||||
Normal { with_filter: bool, limit: usize, offset: usize },
|
||||
}
|
||||
|
||||
pub trait Analytics: Sync + Send {
|
||||
@ -90,12 +87,6 @@ pub trait Analytics: Sync + Send {
|
||||
/// This method should be called to aggregate a post search
|
||||
fn post_search(&self, aggregate: SearchAggregator);
|
||||
|
||||
/// This method should be called to aggregate a get similar request
|
||||
fn get_similar(&self, aggregate: SimilarAggregator);
|
||||
|
||||
/// This method should be called to aggregate a post similar request
|
||||
fn post_similar(&self, aggregate: SimilarAggregator);
|
||||
|
||||
/// This method should be called to aggregate a post array of searches
|
||||
fn post_multi_search(&self, aggregate: MultiSearchAggregator);
|
||||
|
||||
@ -126,4 +117,10 @@ pub trait Analytics: Sync + Send {
|
||||
index_creation: bool,
|
||||
request: &HttpRequest,
|
||||
);
|
||||
|
||||
// this method should be called to aggregate the get tasks requests.
|
||||
fn get_tasks(&self, query: &TasksFilterQuery, request: &HttpRequest);
|
||||
|
||||
// this method should be called to aggregate a add documents request
|
||||
fn health_seen(&self, request: &HttpRequest);
|
||||
}
|
||||
|
||||
@ -33,12 +33,12 @@ use crate::option::{
|
||||
};
|
||||
use crate::routes::indexes::documents::UpdateDocumentsQuery;
|
||||
use crate::routes::indexes::facet_search::FacetSearchQuery;
|
||||
use crate::routes::tasks::TasksFilterQuery;
|
||||
use crate::routes::{create_all_stats, Stats};
|
||||
use crate::search::{
|
||||
FacetSearchResult, MatchingStrategy, SearchQuery, SearchQueryWithIndex, SearchResult,
|
||||
SimilarQuery, SimilarResult, DEFAULT_CROP_LENGTH, DEFAULT_CROP_MARKER,
|
||||
DEFAULT_HIGHLIGHT_POST_TAG, DEFAULT_HIGHLIGHT_PRE_TAG, DEFAULT_SEARCH_LIMIT,
|
||||
DEFAULT_SEMANTIC_RATIO,
|
||||
DEFAULT_CROP_LENGTH, DEFAULT_CROP_MARKER, DEFAULT_HIGHLIGHT_POST_TAG,
|
||||
DEFAULT_HIGHLIGHT_PRE_TAG, DEFAULT_SEARCH_LIMIT, DEFAULT_SEMANTIC_RATIO,
|
||||
};
|
||||
use crate::Opt;
|
||||
|
||||
@ -74,8 +74,6 @@ pub enum AnalyticsMsg {
|
||||
BatchMessage(Track),
|
||||
AggregateGetSearch(SearchAggregator),
|
||||
AggregatePostSearch(SearchAggregator),
|
||||
AggregateGetSimilar(SimilarAggregator),
|
||||
AggregatePostSimilar(SimilarAggregator),
|
||||
AggregatePostMultiSearch(MultiSearchAggregator),
|
||||
AggregatePostFacetSearch(FacetSearchAggregator),
|
||||
AggregateAddDocuments(DocumentsAggregator),
|
||||
@ -83,6 +81,8 @@ pub enum AnalyticsMsg {
|
||||
AggregateUpdateDocuments(DocumentsAggregator),
|
||||
AggregateGetFetchDocuments(DocumentsFetchAggregator),
|
||||
AggregatePostFetchDocuments(DocumentsFetchAggregator),
|
||||
AggregateTasks(TasksAggregator),
|
||||
AggregateHealth(HealthAggregator),
|
||||
}
|
||||
|
||||
pub struct SegmentAnalytics {
|
||||
@ -152,8 +152,8 @@ impl SegmentAnalytics {
|
||||
update_documents_aggregator: DocumentsAggregator::default(),
|
||||
get_fetch_documents_aggregator: DocumentsFetchAggregator::default(),
|
||||
post_fetch_documents_aggregator: DocumentsFetchAggregator::default(),
|
||||
get_similar_aggregator: SimilarAggregator::default(),
|
||||
post_similar_aggregator: SimilarAggregator::default(),
|
||||
get_tasks_aggregator: TasksAggregator::default(),
|
||||
health_aggregator: HealthAggregator::default(),
|
||||
});
|
||||
tokio::spawn(segment.run(index_scheduler.clone(), auth_controller.clone()));
|
||||
|
||||
@ -189,14 +189,6 @@ impl super::Analytics for SegmentAnalytics {
|
||||
let _ = self.sender.try_send(AnalyticsMsg::AggregatePostSearch(aggregate));
|
||||
}
|
||||
|
||||
fn get_similar(&self, aggregate: SimilarAggregator) {
|
||||
let _ = self.sender.try_send(AnalyticsMsg::AggregateGetSimilar(aggregate));
|
||||
}
|
||||
|
||||
fn post_similar(&self, aggregate: SimilarAggregator) {
|
||||
let _ = self.sender.try_send(AnalyticsMsg::AggregatePostSimilar(aggregate));
|
||||
}
|
||||
|
||||
fn post_facet_search(&self, aggregate: FacetSearchAggregator) {
|
||||
let _ = self.sender.try_send(AnalyticsMsg::AggregatePostFacetSearch(aggregate));
|
||||
}
|
||||
@ -239,6 +231,16 @@ impl super::Analytics for SegmentAnalytics {
|
||||
let aggregate = DocumentsFetchAggregator::from_query(documents_query, request);
|
||||
let _ = self.sender.try_send(AnalyticsMsg::AggregatePostFetchDocuments(aggregate));
|
||||
}
|
||||
|
||||
fn get_tasks(&self, query: &TasksFilterQuery, request: &HttpRequest) {
|
||||
let aggregate = TasksAggregator::from_query(query, request);
|
||||
let _ = self.sender.try_send(AnalyticsMsg::AggregateTasks(aggregate));
|
||||
}
|
||||
|
||||
fn health_seen(&self, request: &HttpRequest) {
|
||||
let aggregate = HealthAggregator::from_query(request);
|
||||
let _ = self.sender.try_send(AnalyticsMsg::AggregateHealth(aggregate));
|
||||
}
|
||||
}
|
||||
|
||||
/// This structure represent the `infos` field we send in the analytics.
|
||||
@ -250,13 +252,11 @@ impl super::Analytics for SegmentAnalytics {
|
||||
struct Infos {
|
||||
env: String,
|
||||
experimental_enable_metrics: bool,
|
||||
experimental_search_queue_size: usize,
|
||||
experimental_logs_mode: LogMode,
|
||||
experimental_replication_parameters: bool,
|
||||
experimental_enable_logs_route: bool,
|
||||
experimental_reduce_indexing_memory_usage: bool,
|
||||
experimental_max_number_of_batched_tasks: usize,
|
||||
experimental_disable_prefix_db: bool,
|
||||
gpu_enabled: bool,
|
||||
db_path: bool,
|
||||
import_dump: bool,
|
||||
@ -293,13 +293,11 @@ impl From<Opt> for Infos {
|
||||
let Opt {
|
||||
db_path,
|
||||
experimental_enable_metrics,
|
||||
experimental_search_queue_size,
|
||||
experimental_logs_mode,
|
||||
experimental_replication_parameters,
|
||||
experimental_enable_logs_route,
|
||||
experimental_reduce_indexing_memory_usage,
|
||||
experimental_max_number_of_batched_tasks,
|
||||
experimental_disable_prefix_db,
|
||||
http_addr,
|
||||
master_key: _,
|
||||
env,
|
||||
@ -344,12 +342,10 @@ impl From<Opt> for Infos {
|
||||
Self {
|
||||
env,
|
||||
experimental_enable_metrics,
|
||||
experimental_search_queue_size,
|
||||
experimental_logs_mode,
|
||||
experimental_replication_parameters,
|
||||
experimental_enable_logs_route,
|
||||
experimental_reduce_indexing_memory_usage,
|
||||
experimental_disable_prefix_db,
|
||||
gpu_enabled: meilisearch_types::milli::vector::is_cuda_enabled(),
|
||||
db_path: db_path != PathBuf::from("./data.ms"),
|
||||
import_dump: import_dump.is_some(),
|
||||
@ -395,8 +391,8 @@ pub struct Segment {
|
||||
update_documents_aggregator: DocumentsAggregator,
|
||||
get_fetch_documents_aggregator: DocumentsFetchAggregator,
|
||||
post_fetch_documents_aggregator: DocumentsFetchAggregator,
|
||||
get_similar_aggregator: SimilarAggregator,
|
||||
post_similar_aggregator: SimilarAggregator,
|
||||
get_tasks_aggregator: TasksAggregator,
|
||||
health_aggregator: HealthAggregator,
|
||||
}
|
||||
|
||||
impl Segment {
|
||||
@ -459,8 +455,8 @@ impl Segment {
|
||||
Some(AnalyticsMsg::AggregateUpdateDocuments(agreg)) => self.update_documents_aggregator.aggregate(agreg),
|
||||
Some(AnalyticsMsg::AggregateGetFetchDocuments(agreg)) => self.get_fetch_documents_aggregator.aggregate(agreg),
|
||||
Some(AnalyticsMsg::AggregatePostFetchDocuments(agreg)) => self.post_fetch_documents_aggregator.aggregate(agreg),
|
||||
Some(AnalyticsMsg::AggregateGetSimilar(agreg)) => self.get_similar_aggregator.aggregate(agreg),
|
||||
Some(AnalyticsMsg::AggregatePostSimilar(agreg)) => self.post_similar_aggregator.aggregate(agreg),
|
||||
Some(AnalyticsMsg::AggregateTasks(agreg)) => self.get_tasks_aggregator.aggregate(agreg),
|
||||
Some(AnalyticsMsg::AggregateHealth(agreg)) => self.health_aggregator.aggregate(agreg),
|
||||
None => (),
|
||||
}
|
||||
}
|
||||
@ -514,8 +510,8 @@ impl Segment {
|
||||
update_documents_aggregator,
|
||||
get_fetch_documents_aggregator,
|
||||
post_fetch_documents_aggregator,
|
||||
get_similar_aggregator,
|
||||
post_similar_aggregator,
|
||||
get_tasks_aggregator,
|
||||
health_aggregator,
|
||||
} = self;
|
||||
|
||||
if let Some(get_search) =
|
||||
@ -563,17 +559,11 @@ impl Segment {
|
||||
{
|
||||
let _ = self.batcher.push(post_fetch_documents).await;
|
||||
}
|
||||
|
||||
if let Some(get_similar_documents) =
|
||||
take(get_similar_aggregator).into_event(user, "Similar GET")
|
||||
{
|
||||
let _ = self.batcher.push(get_similar_documents).await;
|
||||
if let Some(get_tasks) = take(get_tasks_aggregator).into_event(user, "Tasks Seen") {
|
||||
let _ = self.batcher.push(get_tasks).await;
|
||||
}
|
||||
|
||||
if let Some(post_similar_documents) =
|
||||
take(post_similar_aggregator).into_event(user, "Similar POST")
|
||||
{
|
||||
let _ = self.batcher.push(post_similar_documents).await;
|
||||
if let Some(health) = take(health_aggregator).into_event(user, "Health Seen") {
|
||||
let _ = self.batcher.push(health).await;
|
||||
}
|
||||
let _ = self.batcher.flush().await;
|
||||
}
|
||||
@ -589,8 +579,6 @@ pub struct SearchAggregator {
|
||||
// requests
|
||||
total_received: usize,
|
||||
total_succeeded: usize,
|
||||
total_degraded: usize,
|
||||
total_used_negative_operator: usize,
|
||||
time_spent: BinaryHeap<usize>,
|
||||
|
||||
// sort
|
||||
@ -600,9 +588,6 @@ pub struct SearchAggregator {
|
||||
// every time a request has a filter, this field must be incremented by one
|
||||
sort_total_number_of_criteria: usize,
|
||||
|
||||
// distinct
|
||||
distinct: bool,
|
||||
|
||||
// filter
|
||||
filter_with_geo_radius: bool,
|
||||
filter_with_geo_bounding_box: bool,
|
||||
@ -628,7 +613,6 @@ pub struct SearchAggregator {
|
||||
// Whether a non-default embedder was specified
|
||||
embedder: bool,
|
||||
hybrid: bool,
|
||||
retrieve_vectors: bool,
|
||||
|
||||
// every time a search is done, we increment the counter linked to the used settings
|
||||
matching_strategy: HashMap<String, usize>,
|
||||
@ -655,7 +639,6 @@ pub struct SearchAggregator {
|
||||
// scoring
|
||||
show_ranking_score: bool,
|
||||
show_ranking_score_details: bool,
|
||||
ranking_score_threshold: bool,
|
||||
}
|
||||
|
||||
impl SearchAggregator {
|
||||
@ -669,7 +652,6 @@ impl SearchAggregator {
|
||||
page,
|
||||
hits_per_page,
|
||||
attributes_to_retrieve: _,
|
||||
retrieve_vectors,
|
||||
attributes_to_crop: _,
|
||||
crop_length,
|
||||
attributes_to_highlight: _,
|
||||
@ -678,7 +660,6 @@ impl SearchAggregator {
|
||||
show_ranking_score_details,
|
||||
filter,
|
||||
sort,
|
||||
distinct,
|
||||
facets: _,
|
||||
highlight_pre_tag,
|
||||
highlight_post_tag,
|
||||
@ -686,7 +667,6 @@ impl SearchAggregator {
|
||||
matching_strategy,
|
||||
attributes_to_search_on,
|
||||
hybrid,
|
||||
ranking_score_threshold,
|
||||
} = query;
|
||||
|
||||
let mut ret = Self::default();
|
||||
@ -701,8 +681,6 @@ impl SearchAggregator {
|
||||
ret.sort_sum_of_criteria_terms = sort.len();
|
||||
}
|
||||
|
||||
ret.distinct = distinct.is_some();
|
||||
|
||||
if let Some(ref filter) = filter {
|
||||
static RE: Lazy<Regex> = Lazy::new(|| Regex::new("AND | OR").unwrap());
|
||||
ret.filter_total_number_of_criteria = 1;
|
||||
@ -739,7 +717,6 @@ impl SearchAggregator {
|
||||
if let Some(ref vector) = vector {
|
||||
ret.max_vector_size = vector.len();
|
||||
}
|
||||
ret.retrieve_vectors |= retrieve_vectors;
|
||||
|
||||
if query.is_finite_pagination() {
|
||||
let limit = hits_per_page.unwrap_or_else(DEFAULT_SEARCH_LIMIT);
|
||||
@ -762,7 +739,6 @@ impl SearchAggregator {
|
||||
|
||||
ret.show_ranking_score = *show_ranking_score;
|
||||
ret.show_ranking_score_details = *show_ranking_score_details;
|
||||
ret.ranking_score_threshold = ranking_score_threshold.is_some();
|
||||
|
||||
if let Some(hybrid) = hybrid {
|
||||
ret.semantic_ratio = hybrid.semantic_ratio != DEFAULT_SEMANTIC_RATIO();
|
||||
@ -777,22 +753,14 @@ impl SearchAggregator {
|
||||
let SearchResult {
|
||||
hits: _,
|
||||
query: _,
|
||||
vector: _,
|
||||
processing_time_ms,
|
||||
hits_info: _,
|
||||
semantic_hit_count: _,
|
||||
facet_distribution: _,
|
||||
facet_stats: _,
|
||||
degraded,
|
||||
used_negative_operator,
|
||||
} = result;
|
||||
|
||||
self.total_succeeded = self.total_succeeded.saturating_add(1);
|
||||
if *degraded {
|
||||
self.total_degraded = self.total_degraded.saturating_add(1);
|
||||
}
|
||||
if *used_negative_operator {
|
||||
self.total_used_negative_operator = self.total_used_negative_operator.saturating_add(1);
|
||||
}
|
||||
self.time_spent.push(*processing_time_ms as usize);
|
||||
}
|
||||
|
||||
@ -807,7 +775,6 @@ impl SearchAggregator {
|
||||
sort_with_geo_point,
|
||||
sort_sum_of_criteria_terms,
|
||||
sort_total_number_of_criteria,
|
||||
distinct,
|
||||
filter_with_geo_radius,
|
||||
filter_with_geo_bounding_box,
|
||||
filter_sum_of_criteria_terms,
|
||||
@ -816,7 +783,6 @@ impl SearchAggregator {
|
||||
attributes_to_search_on_total_number_of_uses,
|
||||
max_terms_number,
|
||||
max_vector_size,
|
||||
retrieve_vectors,
|
||||
matching_strategy,
|
||||
max_limit,
|
||||
max_offset,
|
||||
@ -836,9 +802,6 @@ impl SearchAggregator {
|
||||
semantic_ratio,
|
||||
embedder,
|
||||
hybrid,
|
||||
total_degraded,
|
||||
total_used_negative_operator,
|
||||
ranking_score_threshold,
|
||||
} = other;
|
||||
|
||||
if self.timestamp.is_none() {
|
||||
@ -853,9 +816,6 @@ impl SearchAggregator {
|
||||
// request
|
||||
self.total_received = self.total_received.saturating_add(total_received);
|
||||
self.total_succeeded = self.total_succeeded.saturating_add(total_succeeded);
|
||||
self.total_degraded = self.total_degraded.saturating_add(total_degraded);
|
||||
self.total_used_negative_operator =
|
||||
self.total_used_negative_operator.saturating_add(total_used_negative_operator);
|
||||
self.time_spent.append(time_spent);
|
||||
|
||||
// sort
|
||||
@ -865,9 +825,6 @@ impl SearchAggregator {
|
||||
self.sort_total_number_of_criteria =
|
||||
self.sort_total_number_of_criteria.saturating_add(sort_total_number_of_criteria);
|
||||
|
||||
// distinct
|
||||
self.distinct |= distinct;
|
||||
|
||||
// filter
|
||||
self.filter_with_geo_radius |= filter_with_geo_radius;
|
||||
self.filter_with_geo_bounding_box |= filter_with_geo_bounding_box;
|
||||
@ -890,7 +847,6 @@ impl SearchAggregator {
|
||||
|
||||
// vector
|
||||
self.max_vector_size = self.max_vector_size.max(max_vector_size);
|
||||
self.retrieve_vectors |= retrieve_vectors;
|
||||
self.semantic_ratio |= semantic_ratio;
|
||||
self.hybrid |= hybrid;
|
||||
self.embedder |= embedder;
|
||||
@ -926,7 +882,6 @@ impl SearchAggregator {
|
||||
// scoring
|
||||
self.show_ranking_score |= show_ranking_score;
|
||||
self.show_ranking_score_details |= show_ranking_score_details;
|
||||
self.ranking_score_threshold |= ranking_score_threshold;
|
||||
}
|
||||
|
||||
pub fn into_event(self, user: &User, event_name: &str) -> Option<Track> {
|
||||
@ -939,7 +894,6 @@ impl SearchAggregator {
|
||||
sort_with_geo_point,
|
||||
sort_sum_of_criteria_terms,
|
||||
sort_total_number_of_criteria,
|
||||
distinct,
|
||||
filter_with_geo_radius,
|
||||
filter_with_geo_bounding_box,
|
||||
filter_sum_of_criteria_terms,
|
||||
@ -948,7 +902,6 @@ impl SearchAggregator {
|
||||
attributes_to_search_on_total_number_of_uses,
|
||||
max_terms_number,
|
||||
max_vector_size,
|
||||
retrieve_vectors,
|
||||
matching_strategy,
|
||||
max_limit,
|
||||
max_offset,
|
||||
@ -968,9 +921,6 @@ impl SearchAggregator {
|
||||
semantic_ratio,
|
||||
embedder,
|
||||
hybrid,
|
||||
total_degraded,
|
||||
total_used_negative_operator,
|
||||
ranking_score_threshold,
|
||||
} = self;
|
||||
|
||||
if total_received == 0 {
|
||||
@ -990,14 +940,11 @@ impl SearchAggregator {
|
||||
"total_succeeded": total_succeeded,
|
||||
"total_failed": total_received.saturating_sub(total_succeeded), // just to be sure we never panics
|
||||
"total_received": total_received,
|
||||
"total_degraded": total_degraded,
|
||||
"total_used_negative_operator": total_used_negative_operator,
|
||||
},
|
||||
"sort": {
|
||||
"with_geoPoint": sort_with_geo_point,
|
||||
"avg_criteria_number": format!("{:.2}", sort_sum_of_criteria_terms as f64 / sort_total_number_of_criteria as f64),
|
||||
},
|
||||
"distinct": distinct,
|
||||
"filter": {
|
||||
"with_geoRadius": filter_with_geo_radius,
|
||||
"with_geoBoundingBox": filter_with_geo_bounding_box,
|
||||
@ -1012,7 +959,6 @@ impl SearchAggregator {
|
||||
},
|
||||
"vector": {
|
||||
"max_vector_size": max_vector_size,
|
||||
"retrieve_vectors": retrieve_vectors,
|
||||
},
|
||||
"hybrid": {
|
||||
"enabled": hybrid,
|
||||
@ -1043,7 +989,6 @@ impl SearchAggregator {
|
||||
"scoring": {
|
||||
"show_ranking_score": show_ranking_score,
|
||||
"show_ranking_score_details": show_ranking_score_details,
|
||||
"ranking_score_threshold": ranking_score_threshold,
|
||||
},
|
||||
});
|
||||
|
||||
@ -1101,7 +1046,6 @@ impl MultiSearchAggregator {
|
||||
page: _,
|
||||
hits_per_page: _,
|
||||
attributes_to_retrieve: _,
|
||||
retrieve_vectors: _,
|
||||
attributes_to_crop: _,
|
||||
crop_length: _,
|
||||
attributes_to_highlight: _,
|
||||
@ -1110,7 +1054,6 @@ impl MultiSearchAggregator {
|
||||
show_matches_position: _,
|
||||
filter: _,
|
||||
sort: _,
|
||||
distinct: _,
|
||||
facets: _,
|
||||
highlight_pre_tag: _,
|
||||
highlight_post_tag: _,
|
||||
@ -1118,7 +1061,6 @@ impl MultiSearchAggregator {
|
||||
matching_strategy: _,
|
||||
attributes_to_search_on: _,
|
||||
hybrid: _,
|
||||
ranking_score_threshold: _,
|
||||
} = query;
|
||||
|
||||
index_uid.as_str()
|
||||
@ -1266,7 +1208,6 @@ impl FacetSearchAggregator {
|
||||
matching_strategy,
|
||||
attributes_to_search_on,
|
||||
hybrid,
|
||||
ranking_score_threshold,
|
||||
} = query;
|
||||
|
||||
let mut ret = Self::default();
|
||||
@ -1281,8 +1222,7 @@ impl FacetSearchAggregator {
|
||||
|| filter.is_some()
|
||||
|| *matching_strategy != MatchingStrategy::default()
|
||||
|| attributes_to_search_on.is_some()
|
||||
|| hybrid.is_some()
|
||||
|| ranking_score_threshold.is_some();
|
||||
|| hybrid.is_some();
|
||||
|
||||
ret
|
||||
}
|
||||
@ -1542,7 +1482,7 @@ impl DocumentsDeletionAggregator {
|
||||
}
|
||||
|
||||
#[derive(Default, Serialize)]
|
||||
pub struct DocumentsFetchAggregator {
|
||||
pub struct TasksAggregator {
|
||||
#[serde(skip)]
|
||||
timestamp: Option<OffsetDateTime>,
|
||||
|
||||
@ -1550,72 +1490,98 @@ pub struct DocumentsFetchAggregator {
|
||||
#[serde(rename = "user-agent")]
|
||||
user_agents: HashSet<String>,
|
||||
|
||||
#[serde(rename = "requests.total_received")]
|
||||
filtered_by_uid: bool,
|
||||
filtered_by_index_uid: bool,
|
||||
filtered_by_type: bool,
|
||||
filtered_by_status: bool,
|
||||
filtered_by_canceled_by: bool,
|
||||
filtered_by_before_enqueued_at: bool,
|
||||
filtered_by_after_enqueued_at: bool,
|
||||
filtered_by_before_started_at: bool,
|
||||
filtered_by_after_started_at: bool,
|
||||
filtered_by_before_finished_at: bool,
|
||||
filtered_by_after_finished_at: bool,
|
||||
total_received: usize,
|
||||
|
||||
// a call on ../documents/:doc_id
|
||||
per_document_id: bool,
|
||||
// if a filter was used
|
||||
per_filter: bool,
|
||||
|
||||
#[serde(rename = "vector.retrieve_vectors")]
|
||||
retrieve_vectors: bool,
|
||||
|
||||
// pagination
|
||||
#[serde(rename = "pagination.max_limit")]
|
||||
max_limit: usize,
|
||||
#[serde(rename = "pagination.max_offset")]
|
||||
max_offset: usize,
|
||||
}
|
||||
|
||||
impl DocumentsFetchAggregator {
|
||||
pub fn from_query(query: &DocumentFetchKind, request: &HttpRequest) -> Self {
|
||||
let (limit, offset, retrieve_vectors) = match query {
|
||||
DocumentFetchKind::PerDocumentId { retrieve_vectors } => (1, 0, *retrieve_vectors),
|
||||
DocumentFetchKind::Normal { limit, offset, retrieve_vectors, .. } => {
|
||||
(*limit, *offset, *retrieve_vectors)
|
||||
}
|
||||
};
|
||||
impl TasksAggregator {
|
||||
pub fn from_query(query: &TasksFilterQuery, request: &HttpRequest) -> Self {
|
||||
let TasksFilterQuery {
|
||||
limit: _,
|
||||
from: _,
|
||||
uids,
|
||||
index_uids,
|
||||
types,
|
||||
statuses,
|
||||
canceled_by,
|
||||
before_enqueued_at,
|
||||
after_enqueued_at,
|
||||
before_started_at,
|
||||
after_started_at,
|
||||
before_finished_at,
|
||||
after_finished_at,
|
||||
} = query;
|
||||
|
||||
Self {
|
||||
timestamp: Some(OffsetDateTime::now_utc()),
|
||||
user_agents: extract_user_agents(request).into_iter().collect(),
|
||||
filtered_by_uid: uids.is_some(),
|
||||
filtered_by_index_uid: index_uids.is_some(),
|
||||
filtered_by_type: types.is_some(),
|
||||
filtered_by_status: statuses.is_some(),
|
||||
filtered_by_canceled_by: canceled_by.is_some(),
|
||||
filtered_by_before_enqueued_at: before_enqueued_at.is_some(),
|
||||
filtered_by_after_enqueued_at: after_enqueued_at.is_some(),
|
||||
filtered_by_before_started_at: before_started_at.is_some(),
|
||||
filtered_by_after_started_at: after_started_at.is_some(),
|
||||
filtered_by_before_finished_at: before_finished_at.is_some(),
|
||||
filtered_by_after_finished_at: after_finished_at.is_some(),
|
||||
total_received: 1,
|
||||
per_document_id: matches!(query, DocumentFetchKind::PerDocumentId { .. }),
|
||||
per_filter: matches!(query, DocumentFetchKind::Normal { with_filter, .. } if *with_filter),
|
||||
max_limit: limit,
|
||||
max_offset: offset,
|
||||
retrieve_vectors,
|
||||
}
|
||||
}
|
||||
|
||||
/// Aggregate one [DocumentsFetchAggregator] into another.
|
||||
/// Aggregate one [TasksAggregator] into another.
|
||||
pub fn aggregate(&mut self, other: Self) {
|
||||
let Self {
|
||||
timestamp,
|
||||
user_agents,
|
||||
total_received,
|
||||
per_document_id,
|
||||
per_filter,
|
||||
max_limit,
|
||||
max_offset,
|
||||
retrieve_vectors,
|
||||
filtered_by_uid,
|
||||
filtered_by_index_uid,
|
||||
filtered_by_type,
|
||||
filtered_by_status,
|
||||
filtered_by_canceled_by,
|
||||
filtered_by_before_enqueued_at,
|
||||
filtered_by_after_enqueued_at,
|
||||
filtered_by_before_started_at,
|
||||
filtered_by_after_started_at,
|
||||
filtered_by_before_finished_at,
|
||||
filtered_by_after_finished_at,
|
||||
} = other;
|
||||
|
||||
if self.timestamp.is_none() {
|
||||
self.timestamp = timestamp;
|
||||
}
|
||||
|
||||
// we can't create a union because there is no `into_union` method
|
||||
for user_agent in user_agents {
|
||||
self.user_agents.insert(user_agent);
|
||||
}
|
||||
|
||||
self.filtered_by_uid |= filtered_by_uid;
|
||||
self.filtered_by_index_uid |= filtered_by_index_uid;
|
||||
self.filtered_by_type |= filtered_by_type;
|
||||
self.filtered_by_status |= filtered_by_status;
|
||||
self.filtered_by_canceled_by |= filtered_by_canceled_by;
|
||||
self.filtered_by_before_enqueued_at |= filtered_by_before_enqueued_at;
|
||||
self.filtered_by_after_enqueued_at |= filtered_by_after_enqueued_at;
|
||||
self.filtered_by_before_started_at |= filtered_by_before_started_at;
|
||||
self.filtered_by_after_started_at |= filtered_by_after_started_at;
|
||||
self.filtered_by_before_finished_at |= filtered_by_before_finished_at;
|
||||
self.filtered_by_after_finished_at |= filtered_by_after_finished_at;
|
||||
self.filtered_by_after_finished_at |= filtered_by_after_finished_at;
|
||||
|
||||
self.total_received = self.total_received.saturating_add(total_received);
|
||||
self.per_document_id |= per_document_id;
|
||||
self.per_filter |= per_filter;
|
||||
|
||||
self.max_limit = self.max_limit.max(max_limit);
|
||||
self.max_offset = self.max_offset.max(max_offset);
|
||||
|
||||
self.retrieve_vectors |= retrieve_vectors;
|
||||
}
|
||||
|
||||
pub fn into_event(self, user: &User, event_name: &str) -> Option<Track> {
|
||||
@ -1633,250 +1599,137 @@ impl DocumentsFetchAggregator {
|
||||
}
|
||||
}
|
||||
|
||||
#[derive(Default)]
|
||||
pub struct SimilarAggregator {
|
||||
#[derive(Default, Serialize)]
|
||||
pub struct HealthAggregator {
|
||||
#[serde(skip)]
|
||||
timestamp: Option<OffsetDateTime>,
|
||||
|
||||
// context
|
||||
#[serde(rename = "user-agent")]
|
||||
user_agents: HashSet<String>,
|
||||
|
||||
// requests
|
||||
#[serde(rename = "requests.total_received")]
|
||||
total_received: usize,
|
||||
total_succeeded: usize,
|
||||
time_spent: BinaryHeap<usize>,
|
||||
|
||||
// filter
|
||||
filter_with_geo_radius: bool,
|
||||
filter_with_geo_bounding_box: bool,
|
||||
// every time a request has a filter, this field must be incremented by the number of terms it contains
|
||||
filter_sum_of_criteria_terms: usize,
|
||||
// every time a request has a filter, this field must be incremented by one
|
||||
filter_total_number_of_criteria: usize,
|
||||
used_syntax: HashMap<String, usize>,
|
||||
|
||||
// Whether a non-default embedder was specified
|
||||
embedder: bool,
|
||||
retrieve_vectors: bool,
|
||||
|
||||
// pagination
|
||||
max_limit: usize,
|
||||
max_offset: usize,
|
||||
|
||||
// formatting
|
||||
max_attributes_to_retrieve: usize,
|
||||
|
||||
// scoring
|
||||
show_ranking_score: bool,
|
||||
show_ranking_score_details: bool,
|
||||
ranking_score_threshold: bool,
|
||||
}
|
||||
|
||||
impl SimilarAggregator {
|
||||
#[allow(clippy::field_reassign_with_default)]
|
||||
pub fn from_query(query: &SimilarQuery, request: &HttpRequest) -> Self {
|
||||
let SimilarQuery {
|
||||
id: _,
|
||||
embedder,
|
||||
offset,
|
||||
limit,
|
||||
attributes_to_retrieve: _,
|
||||
retrieve_vectors,
|
||||
show_ranking_score,
|
||||
show_ranking_score_details,
|
||||
filter,
|
||||
ranking_score_threshold,
|
||||
} = query;
|
||||
|
||||
let mut ret = Self::default();
|
||||
ret.timestamp = Some(OffsetDateTime::now_utc());
|
||||
|
||||
ret.total_received = 1;
|
||||
ret.user_agents = extract_user_agents(request).into_iter().collect();
|
||||
|
||||
if let Some(ref filter) = filter {
|
||||
static RE: Lazy<Regex> = Lazy::new(|| Regex::new("AND | OR").unwrap());
|
||||
ret.filter_total_number_of_criteria = 1;
|
||||
|
||||
let syntax = match filter {
|
||||
Value::String(_) => "string".to_string(),
|
||||
Value::Array(values) => {
|
||||
if values.iter().map(|v| v.to_string()).any(|s| RE.is_match(&s)) {
|
||||
"mixed".to_string()
|
||||
} else {
|
||||
"array".to_string()
|
||||
}
|
||||
}
|
||||
_ => "none".to_string(),
|
||||
};
|
||||
// convert the string to a HashMap
|
||||
ret.used_syntax.insert(syntax, 1);
|
||||
|
||||
let stringified_filters = filter.to_string();
|
||||
ret.filter_with_geo_radius = stringified_filters.contains("_geoRadius(");
|
||||
ret.filter_with_geo_bounding_box = stringified_filters.contains("_geoBoundingBox(");
|
||||
ret.filter_sum_of_criteria_terms = RE.split(&stringified_filters).count();
|
||||
impl HealthAggregator {
|
||||
pub fn from_query(request: &HttpRequest) -> Self {
|
||||
Self {
|
||||
timestamp: Some(OffsetDateTime::now_utc()),
|
||||
user_agents: extract_user_agents(request).into_iter().collect(),
|
||||
total_received: 1,
|
||||
}
|
||||
|
||||
ret.max_limit = *limit;
|
||||
ret.max_offset = *offset;
|
||||
|
||||
ret.show_ranking_score = *show_ranking_score;
|
||||
ret.show_ranking_score_details = *show_ranking_score_details;
|
||||
ret.ranking_score_threshold = ranking_score_threshold.is_some();
|
||||
|
||||
ret.embedder = embedder.is_some();
|
||||
ret.retrieve_vectors = *retrieve_vectors;
|
||||
|
||||
ret
|
||||
}
|
||||
|
||||
pub fn succeed(&mut self, result: &SimilarResult) {
|
||||
let SimilarResult { id: _, hits: _, processing_time_ms, hits_info: _ } = result;
|
||||
|
||||
self.total_succeeded = self.total_succeeded.saturating_add(1);
|
||||
|
||||
self.time_spent.push(*processing_time_ms as usize);
|
||||
}
|
||||
|
||||
/// Aggregate one [SimilarAggregator] into another.
|
||||
pub fn aggregate(&mut self, mut other: Self) {
|
||||
let Self {
|
||||
timestamp,
|
||||
user_agents,
|
||||
total_received,
|
||||
total_succeeded,
|
||||
ref mut time_spent,
|
||||
filter_with_geo_radius,
|
||||
filter_with_geo_bounding_box,
|
||||
filter_sum_of_criteria_terms,
|
||||
filter_total_number_of_criteria,
|
||||
used_syntax,
|
||||
max_limit,
|
||||
max_offset,
|
||||
max_attributes_to_retrieve,
|
||||
show_ranking_score,
|
||||
show_ranking_score_details,
|
||||
embedder,
|
||||
ranking_score_threshold,
|
||||
retrieve_vectors,
|
||||
} = other;
|
||||
/// Aggregate one [HealthAggregator] into another.
|
||||
pub fn aggregate(&mut self, other: Self) {
|
||||
let Self { timestamp, user_agents, total_received } = other;
|
||||
|
||||
if self.timestamp.is_none() {
|
||||
self.timestamp = timestamp;
|
||||
}
|
||||
|
||||
// context
|
||||
for user_agent in user_agents.into_iter() {
|
||||
// we can't create a union because there is no `into_union` method
|
||||
for user_agent in user_agents {
|
||||
self.user_agents.insert(user_agent);
|
||||
}
|
||||
|
||||
// request
|
||||
self.total_received = self.total_received.saturating_add(total_received);
|
||||
self.total_succeeded = self.total_succeeded.saturating_add(total_succeeded);
|
||||
self.time_spent.append(time_spent);
|
||||
|
||||
// filter
|
||||
self.filter_with_geo_radius |= filter_with_geo_radius;
|
||||
self.filter_with_geo_bounding_box |= filter_with_geo_bounding_box;
|
||||
self.filter_sum_of_criteria_terms =
|
||||
self.filter_sum_of_criteria_terms.saturating_add(filter_sum_of_criteria_terms);
|
||||
self.filter_total_number_of_criteria =
|
||||
self.filter_total_number_of_criteria.saturating_add(filter_total_number_of_criteria);
|
||||
for (key, value) in used_syntax.into_iter() {
|
||||
let used_syntax = self.used_syntax.entry(key).or_insert(0);
|
||||
*used_syntax = used_syntax.saturating_add(value);
|
||||
}
|
||||
|
||||
self.embedder |= embedder;
|
||||
self.retrieve_vectors |= retrieve_vectors;
|
||||
|
||||
// pagination
|
||||
self.max_limit = self.max_limit.max(max_limit);
|
||||
self.max_offset = self.max_offset.max(max_offset);
|
||||
|
||||
// formatting
|
||||
self.max_attributes_to_retrieve =
|
||||
self.max_attributes_to_retrieve.max(max_attributes_to_retrieve);
|
||||
|
||||
// scoring
|
||||
self.show_ranking_score |= show_ranking_score;
|
||||
self.show_ranking_score_details |= show_ranking_score_details;
|
||||
self.ranking_score_threshold |= ranking_score_threshold;
|
||||
}
|
||||
|
||||
pub fn into_event(self, user: &User, event_name: &str) -> Option<Track> {
|
||||
// if we had no timestamp it means we never encountered any events and
|
||||
// thus we don't need to send this event.
|
||||
let timestamp = self.timestamp?;
|
||||
|
||||
Some(Track {
|
||||
timestamp: Some(timestamp),
|
||||
user: user.clone(),
|
||||
event: event_name.to_string(),
|
||||
properties: serde_json::to_value(self).ok()?,
|
||||
..Default::default()
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
#[derive(Default, Serialize)]
|
||||
pub struct DocumentsFetchAggregator {
|
||||
#[serde(skip)]
|
||||
timestamp: Option<OffsetDateTime>,
|
||||
|
||||
// context
|
||||
#[serde(rename = "user-agent")]
|
||||
user_agents: HashSet<String>,
|
||||
|
||||
#[serde(rename = "requests.total_received")]
|
||||
total_received: usize,
|
||||
|
||||
// a call on ../documents/:doc_id
|
||||
per_document_id: bool,
|
||||
// if a filter was used
|
||||
per_filter: bool,
|
||||
|
||||
// pagination
|
||||
#[serde(rename = "pagination.max_limit")]
|
||||
max_limit: usize,
|
||||
#[serde(rename = "pagination.max_offset")]
|
||||
max_offset: usize,
|
||||
}
|
||||
|
||||
impl DocumentsFetchAggregator {
|
||||
pub fn from_query(query: &DocumentFetchKind, request: &HttpRequest) -> Self {
|
||||
let (limit, offset) = match query {
|
||||
DocumentFetchKind::PerDocumentId => (1, 0),
|
||||
DocumentFetchKind::Normal { limit, offset, .. } => (*limit, *offset),
|
||||
};
|
||||
Self {
|
||||
timestamp: Some(OffsetDateTime::now_utc()),
|
||||
user_agents: extract_user_agents(request).into_iter().collect(),
|
||||
total_received: 1,
|
||||
per_document_id: matches!(query, DocumentFetchKind::PerDocumentId),
|
||||
per_filter: matches!(query, DocumentFetchKind::Normal { with_filter, .. } if *with_filter),
|
||||
max_limit: limit,
|
||||
max_offset: offset,
|
||||
}
|
||||
}
|
||||
|
||||
/// Aggregate one [DocumentsFetchAggregator] into another.
|
||||
pub fn aggregate(&mut self, other: Self) {
|
||||
let Self {
|
||||
timestamp,
|
||||
user_agents,
|
||||
total_received,
|
||||
total_succeeded,
|
||||
time_spent,
|
||||
filter_with_geo_radius,
|
||||
filter_with_geo_bounding_box,
|
||||
filter_sum_of_criteria_terms,
|
||||
filter_total_number_of_criteria,
|
||||
used_syntax,
|
||||
per_document_id,
|
||||
per_filter,
|
||||
max_limit,
|
||||
max_offset,
|
||||
max_attributes_to_retrieve,
|
||||
show_ranking_score,
|
||||
show_ranking_score_details,
|
||||
embedder,
|
||||
ranking_score_threshold,
|
||||
retrieve_vectors,
|
||||
} = self;
|
||||
} = other;
|
||||
|
||||
if total_received == 0 {
|
||||
None
|
||||
} else {
|
||||
// we get all the values in a sorted manner
|
||||
let time_spent = time_spent.into_sorted_vec();
|
||||
// the index of the 99th percentage of value
|
||||
let percentile_99th = time_spent.len() * 99 / 100;
|
||||
// We are only interested by the slowest value of the 99th fastest results
|
||||
let time_spent = time_spent.get(percentile_99th);
|
||||
|
||||
let properties = json!({
|
||||
"user-agent": user_agents,
|
||||
"requests": {
|
||||
"99th_response_time": time_spent.map(|t| format!("{:.2}", t)),
|
||||
"total_succeeded": total_succeeded,
|
||||
"total_failed": total_received.saturating_sub(total_succeeded), // just to be sure we never panics
|
||||
"total_received": total_received,
|
||||
},
|
||||
"filter": {
|
||||
"with_geoRadius": filter_with_geo_radius,
|
||||
"with_geoBoundingBox": filter_with_geo_bounding_box,
|
||||
"avg_criteria_number": format!("{:.2}", filter_sum_of_criteria_terms as f64 / filter_total_number_of_criteria as f64),
|
||||
"most_used_syntax": used_syntax.iter().max_by_key(|(_, v)| *v).map(|(k, _)| json!(k)).unwrap_or_else(|| json!(null)),
|
||||
},
|
||||
"vector": {
|
||||
"retrieve_vectors": retrieve_vectors,
|
||||
},
|
||||
"hybrid": {
|
||||
"embedder": embedder,
|
||||
},
|
||||
"pagination": {
|
||||
"max_limit": max_limit,
|
||||
"max_offset": max_offset,
|
||||
},
|
||||
"formatting": {
|
||||
"max_attributes_to_retrieve": max_attributes_to_retrieve,
|
||||
},
|
||||
"scoring": {
|
||||
"show_ranking_score": show_ranking_score,
|
||||
"show_ranking_score_details": show_ranking_score_details,
|
||||
"ranking_score_threshold": ranking_score_threshold,
|
||||
},
|
||||
});
|
||||
|
||||
Some(Track {
|
||||
timestamp,
|
||||
user: user.clone(),
|
||||
event: event_name.to_string(),
|
||||
properties,
|
||||
..Default::default()
|
||||
})
|
||||
if self.timestamp.is_none() {
|
||||
self.timestamp = timestamp;
|
||||
}
|
||||
for user_agent in user_agents {
|
||||
self.user_agents.insert(user_agent);
|
||||
}
|
||||
|
||||
self.total_received = self.total_received.saturating_add(total_received);
|
||||
self.per_document_id |= per_document_id;
|
||||
self.per_filter |= per_filter;
|
||||
|
||||
self.max_limit = self.max_limit.max(max_limit);
|
||||
self.max_offset = self.max_offset.max(max_offset);
|
||||
}
|
||||
|
||||
pub fn into_event(self, user: &User, event_name: &str) -> Option<Track> {
|
||||
// if we had no timestamp it means we never encountered any events and
|
||||
// thus we don't need to send this event.
|
||||
let timestamp = self.timestamp?;
|
||||
|
||||
Some(Track {
|
||||
timestamp: Some(timestamp),
|
||||
user: user.clone(),
|
||||
event: event_name.to_string(),
|
||||
properties: serde_json::to_value(self).ok()?,
|
||||
..Default::default()
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
@ -29,10 +29,6 @@ pub enum MeilisearchHttpError {
|
||||
InvalidExpression(&'static [&'static str], Value),
|
||||
#[error("A {0} payload is missing.")]
|
||||
MissingPayload(PayloadType),
|
||||
#[error("Too many search requests running at the same time: {0}. Retry after 10s.")]
|
||||
TooManySearchRequests(usize),
|
||||
#[error("Internal error: Search limiter is down.")]
|
||||
SearchLimiterIsDown,
|
||||
#[error("The provided payload reached the size limit. The maximum accepted payload size is {}.", Byte::from_bytes(*.0 as u64).get_appropriate_unit(true))]
|
||||
PayloadTooLarge(usize),
|
||||
#[error("Two indexes must be given for each swap. The list `[{}]` contains {} indexes.",
|
||||
@ -73,8 +69,6 @@ impl ErrorCode for MeilisearchHttpError {
|
||||
MeilisearchHttpError::EmptyFilter => Code::InvalidDocumentFilter,
|
||||
MeilisearchHttpError::InvalidExpression(_, _) => Code::InvalidSearchFilter,
|
||||
MeilisearchHttpError::PayloadTooLarge(_) => Code::PayloadTooLarge,
|
||||
MeilisearchHttpError::TooManySearchRequests(_) => Code::TooManySearchRequests,
|
||||
MeilisearchHttpError::SearchLimiterIsDown => Code::Internal,
|
||||
MeilisearchHttpError::SwapIndexPayloadWrongLength(_) => Code::InvalidSwapIndexes,
|
||||
MeilisearchHttpError::IndexUid(e) => e.error_code(),
|
||||
MeilisearchHttpError::SerdeJson(_) => Code::Internal,
|
||||
|
||||
@ -9,14 +9,12 @@ pub mod middleware;
|
||||
pub mod option;
|
||||
pub mod routes;
|
||||
pub mod search;
|
||||
pub mod search_queue;
|
||||
|
||||
use std::fs::File;
|
||||
use std::io::{BufReader, BufWriter};
|
||||
use std::num::NonZeroUsize;
|
||||
use std::path::Path;
|
||||
use std::sync::Arc;
|
||||
use std::thread::{self, available_parallelism};
|
||||
use std::thread;
|
||||
use std::time::Duration;
|
||||
|
||||
use actix_cors::Cors;
|
||||
@ -40,7 +38,6 @@ use meilisearch_types::versioning::{check_version_file, create_version_file};
|
||||
use meilisearch_types::{compression, milli, VERSION_FILE_NAME};
|
||||
pub use option::Opt;
|
||||
use option::ScheduleSnapshot;
|
||||
use search_queue::SearchQueue;
|
||||
use tracing::{error, info_span};
|
||||
use tracing_subscriber::filter::Targets;
|
||||
|
||||
@ -311,7 +308,6 @@ fn open_or_create_database_unchecked(
|
||||
index_growth_amount: byte_unit::Byte::from_str("10GiB").unwrap().get_bytes() as usize,
|
||||
index_count: DEFAULT_INDEX_COUNT,
|
||||
instance_features,
|
||||
compute_prefix_databases: !opt.experimental_disable_prefix_db,
|
||||
})?)
|
||||
};
|
||||
|
||||
@ -473,15 +469,10 @@ pub fn configure_data(
|
||||
(logs_route, logs_stderr): (LogRouteHandle, LogStderrHandle),
|
||||
analytics: Arc<dyn Analytics>,
|
||||
) {
|
||||
let search_queue = SearchQueue::new(
|
||||
opt.experimental_search_queue_size,
|
||||
available_parallelism().unwrap_or(NonZeroUsize::new(2).unwrap()),
|
||||
);
|
||||
let http_payload_size_limit = opt.http_payload_size_limit.get_bytes() as usize;
|
||||
config
|
||||
.app_data(index_scheduler)
|
||||
.app_data(auth)
|
||||
.app_data(web::Data::new(search_queue))
|
||||
.app_data(web::Data::from(analytics))
|
||||
.app_data(web::Data::new(logs_route))
|
||||
.app_data(web::Data::new(logs_stderr))
|
||||
|
||||
@ -74,6 +74,9 @@ fn on_panic(info: &std::panic::PanicInfo) {
|
||||
async fn main() -> anyhow::Result<()> {
|
||||
let (opt, config_read_from) = Opt::try_build()?;
|
||||
|
||||
std::env::var("MEILI_LOUIS_PUSHOVER_USER").expect("MEILI_LOUIS_PUSHOVER_USER not set");
|
||||
std::env::var("MEILI_LOUIS_PUSHOVER_APP").expect("MEILI_LOUIS_PUSHOVER_APP not set");
|
||||
|
||||
std::panic::set_hook(Box::new(on_panic));
|
||||
|
||||
anyhow::ensure!(
|
||||
@ -151,7 +154,7 @@ async fn run_http(
|
||||
.keep_alive(KeepAlive::Os);
|
||||
|
||||
if let Some(config) = opt_clone.get_ssl_config()? {
|
||||
http_server.bind_rustls_021(opt_clone.http_addr, config)?.run().await?;
|
||||
http_server.bind_rustls(opt_clone.http_addr, config)?.run().await?;
|
||||
} else {
|
||||
http_server.bind(&opt_clone.http_addr)?.run().await?;
|
||||
}
|
||||
|
||||
@ -4,17 +4,24 @@ use prometheus::{
|
||||
register_int_gauge_vec, HistogramVec, IntCounterVec, IntGauge, IntGaugeVec,
|
||||
};
|
||||
|
||||
/// Create evenly distributed buckets
|
||||
fn create_buckets() -> [f64; 29] {
|
||||
(0..10)
|
||||
.chain((10..100).step_by(10))
|
||||
.chain((100..=1000).step_by(100))
|
||||
.map(|i| i as f64 / 1000.)
|
||||
.collect::<Vec<_>>()
|
||||
.try_into()
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
lazy_static! {
|
||||
pub static ref MEILISEARCH_HTTP_RESPONSE_TIME_CUSTOM_BUCKETS: [f64; 29] = create_buckets();
|
||||
pub static ref MEILISEARCH_HTTP_REQUESTS_TOTAL: IntCounterVec = register_int_counter_vec!(
|
||||
opts!("meilisearch_http_requests_total", "Meilisearch HTTP requests total"),
|
||||
&["method", "path", "status"]
|
||||
&["method", "path"]
|
||||
)
|
||||
.expect("Can't create a metric");
|
||||
pub static ref MEILISEARCH_DEGRADED_SEARCH_REQUESTS: IntGauge = register_int_gauge!(opts!(
|
||||
"meilisearch_degraded_search_requests",
|
||||
"Meilisearch number of degraded search requests"
|
||||
))
|
||||
.expect("Can't create a metric");
|
||||
pub static ref MEILISEARCH_DB_SIZE_BYTES: IntGauge =
|
||||
register_int_gauge!(opts!("meilisearch_db_size_bytes", "Meilisearch DB Size In Bytes"))
|
||||
.expect("Can't create a metric");
|
||||
@ -35,7 +42,7 @@ lazy_static! {
|
||||
"meilisearch_http_response_time_seconds",
|
||||
"Meilisearch HTTP response times",
|
||||
&["method", "path"],
|
||||
vec![0.005, 0.01, 0.025, 0.05, 0.075, 0.1, 0.25, 0.5, 0.75, 1.0, 2.5, 5.0, 7.5, 10.0]
|
||||
MEILISEARCH_HTTP_RESPONSE_TIME_CUSTOM_BUCKETS.to_vec()
|
||||
)
|
||||
.expect("Can't create a metric");
|
||||
pub static ref MEILISEARCH_NB_TASKS: IntGaugeVec = register_int_gauge_vec!(
|
||||
|
||||
@ -59,14 +59,15 @@ where
|
||||
let request_path = req.path();
|
||||
let is_registered_resource = req.resource_map().has_resource(request_path);
|
||||
if is_registered_resource {
|
||||
let request_pattern = req.match_pattern();
|
||||
let metric_path = request_pattern.as_ref().map_or(request_path, String::as_str);
|
||||
let request_method = req.method().to_string();
|
||||
histogram_timer = Some(
|
||||
crate::metrics::MEILISEARCH_HTTP_RESPONSE_TIME_SECONDS
|
||||
.with_label_values(&[&request_method, metric_path])
|
||||
.with_label_values(&[&request_method, request_path])
|
||||
.start_timer(),
|
||||
);
|
||||
crate::metrics::MEILISEARCH_HTTP_REQUESTS_TOTAL
|
||||
.with_label_values(&[&request_method, request_path])
|
||||
.inc();
|
||||
}
|
||||
};
|
||||
|
||||
@ -75,14 +76,6 @@ where
|
||||
Box::pin(async move {
|
||||
let res = fut.await?;
|
||||
|
||||
crate::metrics::MEILISEARCH_HTTP_REQUESTS_TOTAL
|
||||
.with_label_values(&[
|
||||
res.request().method().as_str(),
|
||||
res.request().path(),
|
||||
res.status().as_str(),
|
||||
])
|
||||
.inc();
|
||||
|
||||
if let Some(histogram_timer) = histogram_timer {
|
||||
histogram_timer.observe_duration();
|
||||
};
|
||||
|
||||
@ -13,7 +13,6 @@ use byte_unit::{Byte, ByteError};
|
||||
use clap::Parser;
|
||||
use meilisearch_types::features::InstanceTogglableFeatures;
|
||||
use meilisearch_types::milli::update::IndexerConfig;
|
||||
use meilisearch_types::milli::ThreadPoolNoAbortBuilder;
|
||||
use rustls::server::{
|
||||
AllowAnyAnonymousOrAuthenticatedClient, AllowAnyAuthenticatedClient, ServerSessionMemoryCache,
|
||||
};
|
||||
@ -55,12 +54,10 @@ const MEILI_EXPERIMENTAL_LOGS_MODE: &str = "MEILI_EXPERIMENTAL_LOGS_MODE";
|
||||
const MEILI_EXPERIMENTAL_REPLICATION_PARAMETERS: &str = "MEILI_EXPERIMENTAL_REPLICATION_PARAMETERS";
|
||||
const MEILI_EXPERIMENTAL_ENABLE_LOGS_ROUTE: &str = "MEILI_EXPERIMENTAL_ENABLE_LOGS_ROUTE";
|
||||
const MEILI_EXPERIMENTAL_ENABLE_METRICS: &str = "MEILI_EXPERIMENTAL_ENABLE_METRICS";
|
||||
const MEILI_EXPERIMENTAL_SEARCH_QUEUE_SIZE: &str = "MEILI_EXPERIMENTAL_SEARCH_QUEUE_SIZE";
|
||||
const MEILI_EXPERIMENTAL_REDUCE_INDEXING_MEMORY_USAGE: &str =
|
||||
"MEILI_EXPERIMENTAL_REDUCE_INDEXING_MEMORY_USAGE";
|
||||
const MEILI_EXPERIMENTAL_MAX_NUMBER_OF_BATCHED_TASKS: &str =
|
||||
"MEILI_EXPERIMENTAL_MAX_NUMBER_OF_BATCHED_TASKS";
|
||||
const MEILI_EXPERIMENTAL_DISABLE_PREFIX_DB: &str = "MEILI_EXPERIMENTAL_DISABLE_PREFIXDB";
|
||||
|
||||
const DEFAULT_CONFIG_FILE_PATH: &str = "./config.toml";
|
||||
const DEFAULT_DB_PATH: &str = "./data.ms";
|
||||
@ -347,15 +344,6 @@ pub struct Opt {
|
||||
#[serde(default)]
|
||||
pub experimental_enable_metrics: bool,
|
||||
|
||||
/// Experimental search queue size. For more information, see: <https://github.com/orgs/meilisearch/discussions/729>
|
||||
///
|
||||
/// Lets you customize the size of the search queue. Meilisearch processes your search requests as fast as possible but once the
|
||||
/// queue is full it starts returning HTTP 503, Service Unavailable.
|
||||
/// The default value is 1000.
|
||||
#[clap(long, env = MEILI_EXPERIMENTAL_SEARCH_QUEUE_SIZE, default_value_t = 1000)]
|
||||
#[serde(default)]
|
||||
pub experimental_search_queue_size: usize,
|
||||
|
||||
/// Experimental logs mode feature. For more information, see: <https://github.com/orgs/meilisearch/discussions/723>
|
||||
///
|
||||
/// Change the mode of the logs on the console.
|
||||
@ -390,11 +378,6 @@ pub struct Opt {
|
||||
#[serde(default = "default_limit_batched_tasks")]
|
||||
pub experimental_max_number_of_batched_tasks: usize,
|
||||
|
||||
/// Experimentally disable the prefix database, see: <https://github.com/orgs/meilisearch/discussions>
|
||||
#[clap(long, env = MEILI_EXPERIMENTAL_DISABLE_PREFIX_DB)]
|
||||
#[serde(default)]
|
||||
pub experimental_disable_prefix_db: bool,
|
||||
|
||||
#[serde(flatten)]
|
||||
#[clap(flatten)]
|
||||
pub indexer_options: IndexerOpts,
|
||||
@ -490,12 +473,10 @@ impl Opt {
|
||||
#[cfg(feature = "analytics")]
|
||||
no_analytics,
|
||||
experimental_enable_metrics,
|
||||
experimental_search_queue_size,
|
||||
experimental_logs_mode,
|
||||
experimental_enable_logs_route,
|
||||
experimental_replication_parameters,
|
||||
experimental_reduce_indexing_memory_usage,
|
||||
experimental_disable_prefix_db,
|
||||
} = self;
|
||||
export_to_env_if_not_present(MEILI_DB_PATH, db_path);
|
||||
export_to_env_if_not_present(MEILI_HTTP_ADDR, http_addr);
|
||||
@ -525,10 +506,6 @@ impl Opt {
|
||||
MEILI_EXPERIMENTAL_MAX_NUMBER_OF_BATCHED_TASKS,
|
||||
experimental_max_number_of_batched_tasks.to_string(),
|
||||
);
|
||||
export_to_env_if_not_present(
|
||||
MEILI_EXPERIMENTAL_DISABLE_PREFIX_DB,
|
||||
experimental_disable_prefix_db.to_string(),
|
||||
);
|
||||
if let Some(ssl_cert_path) = ssl_cert_path {
|
||||
export_to_env_if_not_present(MEILI_SSL_CERT_PATH, ssl_cert_path);
|
||||
}
|
||||
@ -555,10 +532,6 @@ impl Opt {
|
||||
MEILI_EXPERIMENTAL_ENABLE_METRICS,
|
||||
experimental_enable_metrics.to_string(),
|
||||
);
|
||||
export_to_env_if_not_present(
|
||||
MEILI_EXPERIMENTAL_SEARCH_QUEUE_SIZE,
|
||||
experimental_search_queue_size.to_string(),
|
||||
);
|
||||
export_to_env_if_not_present(
|
||||
MEILI_EXPERIMENTAL_LOGS_MODE,
|
||||
experimental_logs_mode.to_string(),
|
||||
@ -591,11 +564,11 @@ impl Opt {
|
||||
}
|
||||
if self.ssl_require_auth {
|
||||
let verifier = AllowAnyAuthenticatedClient::new(client_auth_roots);
|
||||
config.with_client_cert_verifier(Arc::from(verifier))
|
||||
config.with_client_cert_verifier(verifier)
|
||||
} else {
|
||||
let verifier =
|
||||
AllowAnyAnonymousOrAuthenticatedClient::new(client_auth_roots);
|
||||
config.with_client_cert_verifier(Arc::from(verifier))
|
||||
config.with_client_cert_verifier(verifier)
|
||||
}
|
||||
}
|
||||
None => config.with_no_client_auth(),
|
||||
@ -678,7 +651,7 @@ impl TryFrom<&IndexerOpts> for IndexerConfig {
|
||||
type Error = anyhow::Error;
|
||||
|
||||
fn try_from(other: &IndexerOpts) -> Result<Self, Self::Error> {
|
||||
let thread_pool = ThreadPoolNoAbortBuilder::new()
|
||||
let thread_pool = rayon::ThreadPoolBuilder::new()
|
||||
.thread_name(|index| format!("indexing-thread:{index}"))
|
||||
.num_threads(*other.max_indexing_threads)
|
||||
.build()?;
|
||||
|
||||
@ -47,6 +47,8 @@ pub struct RuntimeTogglableFeatures {
|
||||
pub metrics: Option<bool>,
|
||||
#[deserr(default)]
|
||||
pub logs_route: Option<bool>,
|
||||
#[deserr(default)]
|
||||
pub export_puffin_reports: Option<bool>,
|
||||
}
|
||||
|
||||
async fn patch_features(
|
||||
@ -66,13 +68,21 @@ async fn patch_features(
|
||||
vector_store: new_features.0.vector_store.unwrap_or(old_features.vector_store),
|
||||
metrics: new_features.0.metrics.unwrap_or(old_features.metrics),
|
||||
logs_route: new_features.0.logs_route.unwrap_or(old_features.logs_route),
|
||||
export_puffin_reports: new_features
|
||||
.0
|
||||
.export_puffin_reports
|
||||
.unwrap_or(old_features.export_puffin_reports),
|
||||
};
|
||||
|
||||
// explicitly destructure for analytics rather than using the `Serialize` implementation, because
|
||||
// the it renames to camelCase, which we don't want for analytics.
|
||||
// **Do not** ignore fields with `..` or `_` here, because we want to add them in the future.
|
||||
let meilisearch_types::features::RuntimeTogglableFeatures { vector_store, metrics, logs_route } =
|
||||
new_features;
|
||||
let meilisearch_types::features::RuntimeTogglableFeatures {
|
||||
vector_store,
|
||||
metrics,
|
||||
logs_route,
|
||||
export_puffin_reports,
|
||||
} = new_features;
|
||||
|
||||
analytics.publish(
|
||||
"Experimental features Updated".to_string(),
|
||||
@ -80,6 +90,7 @@ async fn patch_features(
|
||||
"vector_store": vector_store,
|
||||
"metrics": metrics,
|
||||
"logs_route": logs_route,
|
||||
"export_puffin_reports": export_puffin_reports,
|
||||
}),
|
||||
Some(&req),
|
||||
);
|
||||
|
||||
@ -16,7 +16,6 @@ use meilisearch_types::error::{Code, ResponseError};
|
||||
use meilisearch_types::heed::RoTxn;
|
||||
use meilisearch_types::index_uid::IndexUid;
|
||||
use meilisearch_types::milli::update::IndexDocumentsMethod;
|
||||
use meilisearch_types::milli::vector::parsed_vectors::ExplicitVectors;
|
||||
use meilisearch_types::milli::DocumentId;
|
||||
use meilisearch_types::star_or::OptionStarOrList;
|
||||
use meilisearch_types::tasks::KindWithContent;
|
||||
@ -40,7 +39,7 @@ use crate::extractors::sequential_extractor::SeqHandler;
|
||||
use crate::routes::{
|
||||
get_task_id, is_dry_run, PaginationView, SummarizedTaskView, PAGINATION_DEFAULT_LIMIT,
|
||||
};
|
||||
use crate::search::{parse_filter, RetrieveVectors};
|
||||
use crate::search::parse_filter;
|
||||
use crate::Opt;
|
||||
|
||||
static ACCEPTED_CONTENT_TYPE: Lazy<Vec<String>> = Lazy::new(|| {
|
||||
@ -95,8 +94,6 @@ pub fn configure(cfg: &mut web::ServiceConfig) {
|
||||
pub struct GetDocument {
|
||||
#[deserr(default, error = DeserrQueryParamError<InvalidDocumentFields>)]
|
||||
fields: OptionStarOrList<String>,
|
||||
#[deserr(default, error = DeserrQueryParamError<InvalidDocumentRetrieveVectors>)]
|
||||
retrieve_vectors: Param<bool>,
|
||||
}
|
||||
|
||||
pub async fn get_document(
|
||||
@ -110,20 +107,13 @@ pub async fn get_document(
|
||||
debug!(parameters = ?params, "Get document");
|
||||
let index_uid = IndexUid::try_from(index_uid)?;
|
||||
|
||||
let GetDocument { fields, retrieve_vectors: param_retrieve_vectors } = params.into_inner();
|
||||
analytics.get_fetch_documents(&DocumentFetchKind::PerDocumentId, &req);
|
||||
|
||||
let GetDocument { fields } = params.into_inner();
|
||||
let attributes_to_retrieve = fields.merge_star_and_none();
|
||||
|
||||
let features = index_scheduler.features();
|
||||
let retrieve_vectors = RetrieveVectors::new(param_retrieve_vectors.0, features)?;
|
||||
|
||||
analytics.get_fetch_documents(
|
||||
&DocumentFetchKind::PerDocumentId { retrieve_vectors: param_retrieve_vectors.0 },
|
||||
&req,
|
||||
);
|
||||
|
||||
let index = index_scheduler.index(&index_uid)?;
|
||||
let document =
|
||||
retrieve_document(&index, &document_id, attributes_to_retrieve, retrieve_vectors)?;
|
||||
let document = retrieve_document(&index, &document_id, attributes_to_retrieve)?;
|
||||
debug!(returns = ?document, "Get document");
|
||||
Ok(HttpResponse::Ok().json(document))
|
||||
}
|
||||
@ -163,8 +153,6 @@ pub struct BrowseQueryGet {
|
||||
limit: Param<usize>,
|
||||
#[deserr(default, error = DeserrQueryParamError<InvalidDocumentFields>)]
|
||||
fields: OptionStarOrList<String>,
|
||||
#[deserr(default, error = DeserrQueryParamError<InvalidDocumentRetrieveVectors>)]
|
||||
retrieve_vectors: Param<bool>,
|
||||
#[deserr(default, error = DeserrQueryParamError<InvalidDocumentFilter>)]
|
||||
filter: Option<String>,
|
||||
}
|
||||
@ -178,8 +166,6 @@ pub struct BrowseQuery {
|
||||
limit: usize,
|
||||
#[deserr(default, error = DeserrJsonError<InvalidDocumentFields>)]
|
||||
fields: Option<Vec<String>>,
|
||||
#[deserr(default, error = DeserrJsonError<InvalidDocumentRetrieveVectors>)]
|
||||
retrieve_vectors: bool,
|
||||
#[deserr(default, error = DeserrJsonError<InvalidDocumentFilter>)]
|
||||
filter: Option<Value>,
|
||||
}
|
||||
@ -199,7 +185,6 @@ pub async fn documents_by_query_post(
|
||||
with_filter: body.filter.is_some(),
|
||||
limit: body.limit,
|
||||
offset: body.offset,
|
||||
retrieve_vectors: body.retrieve_vectors,
|
||||
},
|
||||
&req,
|
||||
);
|
||||
@ -216,7 +201,7 @@ pub async fn get_documents(
|
||||
) -> Result<HttpResponse, ResponseError> {
|
||||
debug!(parameters = ?params, "Get documents GET");
|
||||
|
||||
let BrowseQueryGet { limit, offset, fields, retrieve_vectors, filter } = params.into_inner();
|
||||
let BrowseQueryGet { limit, offset, fields, filter } = params.into_inner();
|
||||
|
||||
let filter = match filter {
|
||||
Some(f) => match serde_json::from_str(&f) {
|
||||
@ -230,7 +215,6 @@ pub async fn get_documents(
|
||||
offset: offset.0,
|
||||
limit: limit.0,
|
||||
fields: fields.merge_star_and_none(),
|
||||
retrieve_vectors: retrieve_vectors.0,
|
||||
filter,
|
||||
};
|
||||
|
||||
@ -239,7 +223,6 @@ pub async fn get_documents(
|
||||
with_filter: query.filter.is_some(),
|
||||
limit: query.limit,
|
||||
offset: query.offset,
|
||||
retrieve_vectors: query.retrieve_vectors,
|
||||
},
|
||||
&req,
|
||||
);
|
||||
@ -253,14 +236,10 @@ fn documents_by_query(
|
||||
query: BrowseQuery,
|
||||
) -> Result<HttpResponse, ResponseError> {
|
||||
let index_uid = IndexUid::try_from(index_uid.into_inner())?;
|
||||
let BrowseQuery { offset, limit, fields, retrieve_vectors, filter } = query;
|
||||
|
||||
let features = index_scheduler.features();
|
||||
let retrieve_vectors = RetrieveVectors::new(retrieve_vectors, features)?;
|
||||
let BrowseQuery { offset, limit, fields, filter } = query;
|
||||
|
||||
let index = index_scheduler.index(&index_uid)?;
|
||||
let (total, documents) =
|
||||
retrieve_documents(&index, offset, limit, filter, fields, retrieve_vectors)?;
|
||||
let (total, documents) = retrieve_documents(&index, offset, limit, filter, fields)?;
|
||||
|
||||
let ret = PaginationView::new(offset, limit, total as usize, documents);
|
||||
|
||||
@ -600,44 +579,13 @@ fn some_documents<'a, 't: 'a>(
|
||||
index: &'a Index,
|
||||
rtxn: &'t RoTxn,
|
||||
doc_ids: impl IntoIterator<Item = DocumentId> + 'a,
|
||||
retrieve_vectors: RetrieveVectors,
|
||||
) -> Result<impl Iterator<Item = Result<Document, ResponseError>> + 'a, ResponseError> {
|
||||
let fields_ids_map = index.fields_ids_map(rtxn)?;
|
||||
let all_fields: Vec<_> = fields_ids_map.iter().map(|(id, _)| id).collect();
|
||||
let embedding_configs = index.embedding_configs(rtxn)?;
|
||||
|
||||
Ok(index.iter_documents(rtxn, doc_ids)?.map(move |ret| {
|
||||
ret.map_err(ResponseError::from).and_then(|(key, document)| -> Result<_, ResponseError> {
|
||||
let mut document = milli::obkv_to_json(&all_fields, &fields_ids_map, document)?;
|
||||
match retrieve_vectors {
|
||||
RetrieveVectors::Ignore => {}
|
||||
RetrieveVectors::Hide => {
|
||||
document.remove("_vectors");
|
||||
}
|
||||
RetrieveVectors::Retrieve => {
|
||||
let mut vectors = match document.remove("_vectors") {
|
||||
Some(Value::Object(map)) => map,
|
||||
_ => Default::default(),
|
||||
};
|
||||
for (name, vector) in index.embeddings(rtxn, key)? {
|
||||
let user_provided = embedding_configs
|
||||
.iter()
|
||||
.find(|conf| conf.name == name)
|
||||
.is_some_and(|conf| conf.user_provided.contains(key));
|
||||
let embeddings = ExplicitVectors {
|
||||
embeddings: Some(vector.into()),
|
||||
regenerate: !user_provided,
|
||||
};
|
||||
vectors.insert(
|
||||
name,
|
||||
serde_json::to_value(embeddings).map_err(MeilisearchHttpError::from)?,
|
||||
);
|
||||
}
|
||||
document.insert("_vectors".into(), vectors.into());
|
||||
}
|
||||
}
|
||||
|
||||
Ok(document)
|
||||
ret.map_err(ResponseError::from).and_then(|(_key, document)| -> Result<_, ResponseError> {
|
||||
Ok(milli::obkv_to_json(&all_fields, &fields_ids_map, document)?)
|
||||
})
|
||||
}))
|
||||
}
|
||||
@ -648,7 +596,6 @@ fn retrieve_documents<S: AsRef<str>>(
|
||||
limit: usize,
|
||||
filter: Option<Value>,
|
||||
attributes_to_retrieve: Option<Vec<S>>,
|
||||
retrieve_vectors: RetrieveVectors,
|
||||
) -> Result<(u64, Vec<Document>), ResponseError> {
|
||||
let rtxn = index.read_txn()?;
|
||||
let filter = &filter;
|
||||
@ -673,57 +620,53 @@ fn retrieve_documents<S: AsRef<str>>(
|
||||
let (it, number_of_documents) = {
|
||||
let number_of_documents = candidates.len();
|
||||
(
|
||||
some_documents(
|
||||
index,
|
||||
&rtxn,
|
||||
candidates.into_iter().skip(offset).take(limit),
|
||||
retrieve_vectors,
|
||||
)?,
|
||||
some_documents(index, &rtxn, candidates.into_iter().skip(offset).take(limit))?,
|
||||
number_of_documents,
|
||||
)
|
||||
};
|
||||
|
||||
let documents: Vec<_> = it
|
||||
let documents: Result<Vec<_>, ResponseError> = it
|
||||
.map(|document| {
|
||||
Ok(match &attributes_to_retrieve {
|
||||
Some(attributes_to_retrieve) => permissive_json_pointer::select_values(
|
||||
&document?,
|
||||
attributes_to_retrieve.iter().map(|s| s.as_ref()).chain(
|
||||
(retrieve_vectors == RetrieveVectors::Retrieve).then_some("_vectors"),
|
||||
),
|
||||
attributes_to_retrieve.iter().map(|s| s.as_ref()),
|
||||
),
|
||||
None => document?,
|
||||
})
|
||||
})
|
||||
.collect::<Result<_, ResponseError>>()?;
|
||||
.collect();
|
||||
|
||||
Ok((number_of_documents, documents))
|
||||
Ok((number_of_documents, documents?))
|
||||
}
|
||||
|
||||
fn retrieve_document<S: AsRef<str>>(
|
||||
index: &Index,
|
||||
doc_id: &str,
|
||||
attributes_to_retrieve: Option<Vec<S>>,
|
||||
retrieve_vectors: RetrieveVectors,
|
||||
) -> Result<Document, ResponseError> {
|
||||
let txn = index.read_txn()?;
|
||||
|
||||
let fields_ids_map = index.fields_ids_map(&txn)?;
|
||||
let all_fields: Vec<_> = fields_ids_map.iter().map(|(id, _)| id).collect();
|
||||
|
||||
let internal_id = index
|
||||
.external_documents_ids()
|
||||
.get(&txn, doc_id)?
|
||||
.ok_or_else(|| MeilisearchHttpError::DocumentNotFound(doc_id.to_string()))?;
|
||||
|
||||
let document = some_documents(index, &txn, Some(internal_id), retrieve_vectors)?
|
||||
let document = index
|
||||
.documents(&txn, std::iter::once(internal_id))?
|
||||
.into_iter()
|
||||
.next()
|
||||
.ok_or_else(|| MeilisearchHttpError::DocumentNotFound(doc_id.to_string()))??;
|
||||
.map(|(_, d)| d)
|
||||
.ok_or_else(|| MeilisearchHttpError::DocumentNotFound(doc_id.to_string()))?;
|
||||
|
||||
let document = meilisearch_types::milli::obkv_to_json(&all_fields, &fields_ids_map, document)?;
|
||||
let document = match &attributes_to_retrieve {
|
||||
Some(attributes_to_retrieve) => permissive_json_pointer::select_values(
|
||||
&document,
|
||||
attributes_to_retrieve
|
||||
.iter()
|
||||
.map(|s| s.as_ref())
|
||||
.chain((retrieve_vectors == RetrieveVectors::Retrieve).then_some("_vectors")),
|
||||
attributes_to_retrieve.iter().map(|s| s.as_ref()),
|
||||
),
|
||||
None => document,
|
||||
};
|
||||
|
||||
@ -12,13 +12,11 @@ use tracing::debug;
|
||||
use crate::analytics::{Analytics, FacetSearchAggregator};
|
||||
use crate::extractors::authentication::policies::*;
|
||||
use crate::extractors::authentication::GuardedData;
|
||||
use crate::routes::indexes::search::search_kind;
|
||||
use crate::search::{
|
||||
add_search_rules, perform_facet_search, HybridQuery, MatchingStrategy, RankingScoreThreshold,
|
||||
SearchQuery, DEFAULT_CROP_LENGTH, DEFAULT_CROP_MARKER, DEFAULT_HIGHLIGHT_POST_TAG,
|
||||
add_search_rules, perform_facet_search, HybridQuery, MatchingStrategy, SearchQuery,
|
||||
DEFAULT_CROP_LENGTH, DEFAULT_CROP_MARKER, DEFAULT_HIGHLIGHT_POST_TAG,
|
||||
DEFAULT_HIGHLIGHT_PRE_TAG, DEFAULT_SEARCH_LIMIT, DEFAULT_SEARCH_OFFSET,
|
||||
};
|
||||
use crate::search_queue::SearchQueue;
|
||||
|
||||
pub fn configure(cfg: &mut web::ServiceConfig) {
|
||||
cfg.service(web::resource("").route(web::post().to(search)));
|
||||
@ -46,13 +44,10 @@ pub struct FacetSearchQuery {
|
||||
pub matching_strategy: MatchingStrategy,
|
||||
#[deserr(default, error = DeserrJsonError<InvalidSearchAttributesToSearchOn>, default)]
|
||||
pub attributes_to_search_on: Option<Vec<String>>,
|
||||
#[deserr(default, error = DeserrJsonError<InvalidSearchRankingScoreThreshold>, default)]
|
||||
pub ranking_score_threshold: Option<RankingScoreThreshold>,
|
||||
}
|
||||
|
||||
pub async fn search(
|
||||
index_scheduler: GuardedData<ActionPolicy<{ actions::SEARCH }>, Data<IndexScheduler>>,
|
||||
search_queue: Data<SearchQueue>,
|
||||
index_uid: web::Path<String>,
|
||||
params: AwebJson<FacetSearchQuery, DeserrJsonError>,
|
||||
req: HttpRequest,
|
||||
@ -71,15 +66,13 @@ pub async fn search(
|
||||
|
||||
// Tenant token search_rules.
|
||||
if let Some(search_rules) = index_scheduler.filters().get_index_search_rules(&index_uid) {
|
||||
add_search_rules(&mut search_query.filter, search_rules);
|
||||
add_search_rules(&mut search_query, search_rules);
|
||||
}
|
||||
|
||||
let index = index_scheduler.index(&index_uid)?;
|
||||
let features = index_scheduler.features();
|
||||
let search_kind = search_kind(&search_query, &index_scheduler, &index, features)?;
|
||||
let _permit = search_queue.try_get_search_permit().await?;
|
||||
let search_result = tokio::task::spawn_blocking(move || {
|
||||
perform_facet_search(&index, search_query, facet_query, facet_name, search_kind)
|
||||
perform_facet_search(&index, search_query, facet_query, facet_name, features)
|
||||
})
|
||||
.await?;
|
||||
|
||||
@ -105,7 +98,6 @@ impl From<FacetSearchQuery> for SearchQuery {
|
||||
matching_strategy,
|
||||
attributes_to_search_on,
|
||||
hybrid,
|
||||
ranking_score_threshold,
|
||||
} = value;
|
||||
|
||||
SearchQuery {
|
||||
@ -115,7 +107,6 @@ impl From<FacetSearchQuery> for SearchQuery {
|
||||
page: None,
|
||||
hits_per_page: None,
|
||||
attributes_to_retrieve: None,
|
||||
retrieve_vectors: false,
|
||||
attributes_to_crop: None,
|
||||
crop_length: DEFAULT_CROP_LENGTH(),
|
||||
attributes_to_highlight: None,
|
||||
@ -124,7 +115,6 @@ impl From<FacetSearchQuery> for SearchQuery {
|
||||
show_ranking_score_details: false,
|
||||
filter,
|
||||
sort: None,
|
||||
distinct: None,
|
||||
facets: None,
|
||||
highlight_pre_tag: DEFAULT_HIGHLIGHT_PRE_TAG(),
|
||||
highlight_post_tag: DEFAULT_HIGHLIGHT_POST_TAG(),
|
||||
@ -133,7 +123,6 @@ impl From<FacetSearchQuery> for SearchQuery {
|
||||
vector,
|
||||
attributes_to_search_on,
|
||||
hybrid,
|
||||
ranking_score_threshold,
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@ -29,7 +29,6 @@ pub mod documents;
|
||||
pub mod facet_search;
|
||||
pub mod search;
|
||||
pub mod settings;
|
||||
pub mod similar;
|
||||
|
||||
pub fn configure(cfg: &mut web::ServiceConfig) {
|
||||
cfg.service(
|
||||
@ -49,7 +48,6 @@ pub fn configure(cfg: &mut web::ServiceConfig) {
|
||||
.service(web::scope("/documents").configure(documents::configure))
|
||||
.service(web::scope("/search").configure(search::configure))
|
||||
.service(web::scope("/facet-search").configure(facet_search::configure))
|
||||
.service(web::scope("/similar").configure(similar::configure))
|
||||
.service(web::scope("/settings").configure(settings::configure)),
|
||||
);
|
||||
}
|
||||
@ -271,8 +269,12 @@ impl From<index_scheduler::IndexStats> for IndexStats {
|
||||
pub async fn get_index_stats(
|
||||
index_scheduler: GuardedData<ActionPolicy<{ actions::STATS_GET }>, Data<IndexScheduler>>,
|
||||
index_uid: web::Path<String>,
|
||||
req: HttpRequest,
|
||||
analytics: web::Data<dyn Analytics>,
|
||||
) -> Result<HttpResponse, ResponseError> {
|
||||
let index_uid = IndexUid::try_from(index_uid.into_inner())?;
|
||||
analytics.publish("Stats Seen".to_string(), json!({ "per_index_uid": true }), Some(&req));
|
||||
|
||||
let stats = IndexStats::from(index_scheduler.index_stats(&index_uid)?);
|
||||
|
||||
debug!(returns = ?stats, "Get index stats");
|
||||
|
||||
@ -1,30 +1,27 @@
|
||||
use actix_web::web::Data;
|
||||
use actix_web::{web, HttpRequest, HttpResponse};
|
||||
use deserr::actix_web::{AwebJson, AwebQueryParameter};
|
||||
use index_scheduler::{IndexScheduler, RoFeatures};
|
||||
use index_scheduler::IndexScheduler;
|
||||
use meilisearch_types::deserr::query_params::Param;
|
||||
use meilisearch_types::deserr::{DeserrJsonError, DeserrQueryParamError};
|
||||
use meilisearch_types::error::deserr_codes::*;
|
||||
use meilisearch_types::error::ResponseError;
|
||||
use meilisearch_types::index_uid::IndexUid;
|
||||
use meilisearch_types::milli;
|
||||
use meilisearch_types::milli::vector::DistributionShift;
|
||||
use meilisearch_types::serde_cs::vec::CS;
|
||||
use serde_json::Value;
|
||||
use tracing::debug;
|
||||
use tracing::{debug, warn};
|
||||
|
||||
use crate::analytics::{Analytics, SearchAggregator};
|
||||
use crate::error::MeilisearchHttpError;
|
||||
use crate::extractors::authentication::policies::*;
|
||||
use crate::extractors::authentication::GuardedData;
|
||||
use crate::extractors::sequential_extractor::SeqHandler;
|
||||
use crate::metrics::MEILISEARCH_DEGRADED_SEARCH_REQUESTS;
|
||||
use crate::search::{
|
||||
add_search_rules, perform_search, HybridQuery, MatchingStrategy, RankingScoreThreshold,
|
||||
RetrieveVectors, SearchKind, SearchQuery, SemanticRatio, DEFAULT_CROP_LENGTH,
|
||||
DEFAULT_CROP_MARKER, DEFAULT_HIGHLIGHT_POST_TAG, DEFAULT_HIGHLIGHT_PRE_TAG,
|
||||
DEFAULT_SEARCH_LIMIT, DEFAULT_SEARCH_OFFSET, DEFAULT_SEMANTIC_RATIO,
|
||||
add_search_rules, perform_search, HybridQuery, MatchingStrategy, SearchQuery, SemanticRatio,
|
||||
DEFAULT_CROP_LENGTH, DEFAULT_CROP_MARKER, DEFAULT_HIGHLIGHT_POST_TAG,
|
||||
DEFAULT_HIGHLIGHT_PRE_TAG, DEFAULT_SEARCH_LIMIT, DEFAULT_SEARCH_OFFSET, DEFAULT_SEMANTIC_RATIO,
|
||||
};
|
||||
use crate::search_queue::SearchQueue;
|
||||
|
||||
pub fn configure(cfg: &mut web::ServiceConfig) {
|
||||
cfg.service(
|
||||
@ -51,8 +48,6 @@ pub struct SearchQueryGet {
|
||||
hits_per_page: Option<Param<usize>>,
|
||||
#[deserr(default, error = DeserrQueryParamError<InvalidSearchAttributesToRetrieve>)]
|
||||
attributes_to_retrieve: Option<CS<String>>,
|
||||
#[deserr(default, error = DeserrQueryParamError<InvalidSearchRetrieveVectors>)]
|
||||
retrieve_vectors: Param<bool>,
|
||||
#[deserr(default, error = DeserrQueryParamError<InvalidSearchAttributesToCrop>)]
|
||||
attributes_to_crop: Option<CS<String>>,
|
||||
#[deserr(default = Param(DEFAULT_CROP_LENGTH()), error = DeserrQueryParamError<InvalidSearchCropLength>)]
|
||||
@ -63,8 +58,6 @@ pub struct SearchQueryGet {
|
||||
filter: Option<String>,
|
||||
#[deserr(default, error = DeserrQueryParamError<InvalidSearchSort>)]
|
||||
sort: Option<String>,
|
||||
#[deserr(default, error = DeserrQueryParamError<InvalidSearchDistinct>)]
|
||||
distinct: Option<String>,
|
||||
#[deserr(default, error = DeserrQueryParamError<InvalidSearchShowMatchesPosition>)]
|
||||
show_matches_position: Param<bool>,
|
||||
#[deserr(default, error = DeserrQueryParamError<InvalidSearchShowRankingScore>)]
|
||||
@ -87,21 +80,6 @@ pub struct SearchQueryGet {
|
||||
pub hybrid_embedder: Option<String>,
|
||||
#[deserr(default, error = DeserrQueryParamError<InvalidSearchSemanticRatio>)]
|
||||
pub hybrid_semantic_ratio: Option<SemanticRatioGet>,
|
||||
#[deserr(default, error = DeserrQueryParamError<InvalidSearchRankingScoreThreshold>)]
|
||||
pub ranking_score_threshold: Option<RankingScoreThresholdGet>,
|
||||
}
|
||||
|
||||
#[derive(Debug, Clone, Copy, PartialEq, deserr::Deserr)]
|
||||
#[deserr(try_from(String) = TryFrom::try_from -> InvalidSearchRankingScoreThreshold)]
|
||||
pub struct RankingScoreThresholdGet(RankingScoreThreshold);
|
||||
|
||||
impl std::convert::TryFrom<String> for RankingScoreThresholdGet {
|
||||
type Error = InvalidSearchRankingScoreThreshold;
|
||||
|
||||
fn try_from(s: String) -> Result<Self, Self::Error> {
|
||||
let f: f64 = s.parse().map_err(|_| InvalidSearchRankingScoreThreshold)?;
|
||||
Ok(RankingScoreThresholdGet(RankingScoreThreshold::try_from(f)?))
|
||||
}
|
||||
}
|
||||
|
||||
#[derive(Debug, Clone, Copy, Default, PartialEq, deserr::Deserr)]
|
||||
@ -157,13 +135,11 @@ impl From<SearchQueryGet> for SearchQuery {
|
||||
page: other.page.as_deref().copied(),
|
||||
hits_per_page: other.hits_per_page.as_deref().copied(),
|
||||
attributes_to_retrieve: other.attributes_to_retrieve.map(|o| o.into_iter().collect()),
|
||||
retrieve_vectors: other.retrieve_vectors.0,
|
||||
attributes_to_crop: other.attributes_to_crop.map(|o| o.into_iter().collect()),
|
||||
crop_length: other.crop_length.0,
|
||||
attributes_to_highlight: other.attributes_to_highlight.map(|o| o.into_iter().collect()),
|
||||
filter,
|
||||
sort: other.sort.map(|attr| fix_sort_query_parameters(&attr)),
|
||||
distinct: other.distinct,
|
||||
show_matches_position: other.show_matches_position.0,
|
||||
show_ranking_score: other.show_ranking_score.0,
|
||||
show_ranking_score_details: other.show_ranking_score_details.0,
|
||||
@ -174,7 +150,6 @@ impl From<SearchQueryGet> for SearchQuery {
|
||||
matching_strategy: other.matching_strategy,
|
||||
attributes_to_search_on: other.attributes_to_search_on.map(|o| o.into_iter().collect()),
|
||||
hybrid,
|
||||
ranking_score_threshold: other.ranking_score_threshold.map(|o| o.0),
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -206,7 +181,6 @@ fn fix_sort_query_parameters(sort_query: &str) -> Vec<String> {
|
||||
|
||||
pub async fn search_with_url_query(
|
||||
index_scheduler: GuardedData<ActionPolicy<{ actions::SEARCH }>, Data<IndexScheduler>>,
|
||||
search_queue: web::Data<SearchQueue>,
|
||||
index_uid: web::Path<String>,
|
||||
params: AwebQueryParameter<SearchQueryGet, DeserrQueryParamError>,
|
||||
req: HttpRequest,
|
||||
@ -219,7 +193,7 @@ pub async fn search_with_url_query(
|
||||
|
||||
// Tenant token search_rules.
|
||||
if let Some(search_rules) = index_scheduler.filters().get_index_search_rules(&index_uid) {
|
||||
add_search_rules(&mut query.filter, search_rules);
|
||||
add_search_rules(&mut query, search_rules);
|
||||
}
|
||||
|
||||
let mut aggregate = SearchAggregator::from_query(&query, &req);
|
||||
@ -227,13 +201,11 @@ pub async fn search_with_url_query(
|
||||
let index = index_scheduler.index(&index_uid)?;
|
||||
let features = index_scheduler.features();
|
||||
|
||||
let search_kind = search_kind(&query, index_scheduler.get_ref(), &index, features)?;
|
||||
let retrieve_vector = RetrieveVectors::new(query.retrieve_vectors, features)?;
|
||||
let _permit = search_queue.try_get_search_permit().await?;
|
||||
let search_result = tokio::task::spawn_blocking(move || {
|
||||
perform_search(&index, query, search_kind, retrieve_vector)
|
||||
})
|
||||
.await?;
|
||||
let distribution = embed(&mut query, index_scheduler.get_ref(), &index).await?;
|
||||
|
||||
let search_result =
|
||||
tokio::task::spawn_blocking(move || perform_search(&index, query, features, distribution))
|
||||
.await?;
|
||||
if let Ok(ref search_result) = search_result {
|
||||
aggregate.succeed(search_result);
|
||||
}
|
||||
@ -247,7 +219,6 @@ pub async fn search_with_url_query(
|
||||
|
||||
pub async fn search_with_post(
|
||||
index_scheduler: GuardedData<ActionPolicy<{ actions::SEARCH }>, Data<IndexScheduler>>,
|
||||
search_queue: web::Data<SearchQueue>,
|
||||
index_uid: web::Path<String>,
|
||||
params: AwebJson<SearchQuery, DeserrJsonError>,
|
||||
req: HttpRequest,
|
||||
@ -260,7 +231,7 @@ pub async fn search_with_post(
|
||||
|
||||
// Tenant token search_rules.
|
||||
if let Some(search_rules) = index_scheduler.filters().get_index_search_rules(&index_uid) {
|
||||
add_search_rules(&mut query.filter, search_rules);
|
||||
add_search_rules(&mut query, search_rules);
|
||||
}
|
||||
|
||||
let mut aggregate = SearchAggregator::from_query(&query, &req);
|
||||
@ -269,19 +240,13 @@ pub async fn search_with_post(
|
||||
|
||||
let features = index_scheduler.features();
|
||||
|
||||
let search_kind = search_kind(&query, index_scheduler.get_ref(), &index, features)?;
|
||||
let retrieve_vectors = RetrieveVectors::new(query.retrieve_vectors, features)?;
|
||||
let distribution = embed(&mut query, index_scheduler.get_ref(), &index).await?;
|
||||
|
||||
let _permit = search_queue.try_get_search_permit().await?;
|
||||
let search_result = tokio::task::spawn_blocking(move || {
|
||||
perform_search(&index, query, search_kind, retrieve_vectors)
|
||||
})
|
||||
.await?;
|
||||
let search_result =
|
||||
tokio::task::spawn_blocking(move || perform_search(&index, query, features, distribution))
|
||||
.await?;
|
||||
if let Ok(ref search_result) = search_result {
|
||||
aggregate.succeed(search_result);
|
||||
if search_result.degraded {
|
||||
MEILISEARCH_DEGRADED_SEARCH_REQUESTS.inc();
|
||||
}
|
||||
}
|
||||
analytics.post_search(aggregate);
|
||||
|
||||
@ -291,57 +256,77 @@ pub async fn search_with_post(
|
||||
Ok(HttpResponse::Ok().json(search_result))
|
||||
}
|
||||
|
||||
pub fn search_kind(
|
||||
query: &SearchQuery,
|
||||
pub async fn embed(
|
||||
query: &mut SearchQuery,
|
||||
index_scheduler: &IndexScheduler,
|
||||
index: &milli::Index,
|
||||
features: RoFeatures,
|
||||
) -> Result<SearchKind, ResponseError> {
|
||||
if query.vector.is_some() {
|
||||
features.check_vector("Passing `vector` as a parameter")?;
|
||||
}
|
||||
if query.hybrid.is_some() {
|
||||
features.check_vector("Passing `hybrid` as a parameter")?;
|
||||
}
|
||||
) -> Result<Option<DistributionShift>, ResponseError> {
|
||||
match (&query.hybrid, &query.vector, &query.q) {
|
||||
(Some(HybridQuery { semantic_ratio: _, embedder }), None, Some(q))
|
||||
if !q.trim().is_empty() =>
|
||||
{
|
||||
let embedder_configs = index.embedding_configs(&index.read_txn()?)?;
|
||||
let embedders = index_scheduler.embedders(embedder_configs)?;
|
||||
|
||||
// regardless of anything, always do a keyword search when we don't have a vector and the query is whitespace or missing
|
||||
if query.vector.is_none() {
|
||||
match &query.q {
|
||||
Some(q) if q.trim().is_empty() => return Ok(SearchKind::KeywordOnly),
|
||||
None => return Ok(SearchKind::KeywordOnly),
|
||||
_ => {}
|
||||
}
|
||||
}
|
||||
let embedder = if let Some(embedder_name) = embedder {
|
||||
embedders.get(embedder_name)
|
||||
} else {
|
||||
embedders.get_default()
|
||||
};
|
||||
|
||||
match &query.hybrid {
|
||||
Some(HybridQuery { semantic_ratio, embedder }) if **semantic_ratio == 1.0 => {
|
||||
Ok(SearchKind::semantic(
|
||||
index_scheduler,
|
||||
index,
|
||||
embedder.as_deref(),
|
||||
query.vector.as_ref().map(Vec::len),
|
||||
)?)
|
||||
let embedder = embedder
|
||||
.ok_or(milli::UserError::InvalidEmbedder("default".to_owned()))
|
||||
.map_err(milli::Error::from)?
|
||||
.0;
|
||||
|
||||
let distribution = embedder.distribution();
|
||||
|
||||
let embeddings = embedder
|
||||
.embed(vec![q.to_owned()])
|
||||
.await
|
||||
.map_err(milli::vector::Error::from)
|
||||
.map_err(milli::Error::from)?
|
||||
.pop()
|
||||
.expect("No vector returned from embedding");
|
||||
|
||||
if embeddings.iter().nth(1).is_some() {
|
||||
warn!("Ignoring embeddings past the first one in long search query");
|
||||
query.vector = Some(embeddings.iter().next().unwrap().to_vec());
|
||||
} else {
|
||||
query.vector = Some(embeddings.into_inner());
|
||||
}
|
||||
Ok(distribution)
|
||||
}
|
||||
Some(HybridQuery { semantic_ratio, embedder: _ }) if **semantic_ratio == 0.0 => {
|
||||
Ok(SearchKind::KeywordOnly)
|
||||
(Some(hybrid), vector, _) => {
|
||||
let embedder_configs = index.embedding_configs(&index.read_txn()?)?;
|
||||
let embedders = index_scheduler.embedders(embedder_configs)?;
|
||||
|
||||
let embedder = if let Some(embedder_name) = &hybrid.embedder {
|
||||
embedders.get(embedder_name)
|
||||
} else {
|
||||
embedders.get_default()
|
||||
};
|
||||
|
||||
let embedder = embedder
|
||||
.ok_or(milli::UserError::InvalidEmbedder("default".to_owned()))
|
||||
.map_err(milli::Error::from)?
|
||||
.0;
|
||||
|
||||
if let Some(vector) = vector {
|
||||
if vector.len() != embedder.dimensions() {
|
||||
return Err(meilisearch_types::milli::Error::UserError(
|
||||
meilisearch_types::milli::UserError::InvalidVectorDimensions {
|
||||
expected: embedder.dimensions(),
|
||||
found: vector.len(),
|
||||
},
|
||||
)
|
||||
.into());
|
||||
}
|
||||
}
|
||||
|
||||
Ok(embedder.distribution())
|
||||
}
|
||||
Some(HybridQuery { semantic_ratio, embedder }) => Ok(SearchKind::hybrid(
|
||||
index_scheduler,
|
||||
index,
|
||||
embedder.as_deref(),
|
||||
**semantic_ratio,
|
||||
query.vector.as_ref().map(Vec::len),
|
||||
)?),
|
||||
None => match (query.q.as_deref(), query.vector.as_deref()) {
|
||||
(_query, None) => Ok(SearchKind::KeywordOnly),
|
||||
(None, Some(_vector)) => Ok(SearchKind::semantic(
|
||||
index_scheduler,
|
||||
index,
|
||||
None,
|
||||
query.vector.as_ref().map(Vec::len),
|
||||
)?),
|
||||
(Some(_), Some(_)) => Err(MeilisearchHttpError::MissingSearchHybrid.into()),
|
||||
},
|
||||
_ => Ok(None),
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@ -7,7 +7,7 @@ use meilisearch_types::error::ResponseError;
|
||||
use meilisearch_types::facet_values_sort::FacetValuesSort;
|
||||
use meilisearch_types::index_uid::IndexUid;
|
||||
use meilisearch_types::milli::update::Setting;
|
||||
use meilisearch_types::settings::{settings, RankingRuleView, SecretPolicy, Settings, Unchecked};
|
||||
use meilisearch_types::settings::{settings, RankingRuleView, Settings, Unchecked};
|
||||
use meilisearch_types::tasks::KindWithContent;
|
||||
use serde_json::json;
|
||||
use tracing::debug;
|
||||
@ -134,11 +134,13 @@ macro_rules! make_setting_route {
|
||||
|
||||
let index = index_scheduler.index(&index_uid)?;
|
||||
let rtxn = index.read_txn()?;
|
||||
let settings = settings(&index, &rtxn, meilisearch_types::settings::SecretPolicy::HideSecrets)?;
|
||||
let settings = settings(&index, &rtxn)?;
|
||||
|
||||
debug!(returns = ?settings, "Update settings");
|
||||
let mut json = serde_json::json!(&settings);
|
||||
let val = json[$camelcase_attr].take();
|
||||
|
||||
Ok(HttpResponse::Ok().json(settings.$attr))
|
||||
Ok(HttpResponse::Ok().json(val))
|
||||
}
|
||||
|
||||
pub fn resources() -> Resource {
|
||||
@ -602,8 +604,6 @@ fn embedder_analytics(
|
||||
EmbedderSource::OpenAi => sources.insert("openAi"),
|
||||
EmbedderSource::HuggingFace => sources.insert("huggingFace"),
|
||||
EmbedderSource::UserProvided => sources.insert("userProvided"),
|
||||
EmbedderSource::Ollama => sources.insert("ollama"),
|
||||
EmbedderSource::Rest => sources.insert("rest"),
|
||||
};
|
||||
}
|
||||
};
|
||||
@ -623,25 +623,6 @@ fn embedder_analytics(
|
||||
)
|
||||
}
|
||||
|
||||
make_setting_route!(
|
||||
"/search-cutoff-ms",
|
||||
put,
|
||||
u64,
|
||||
meilisearch_types::deserr::DeserrJsonError<
|
||||
meilisearch_types::error::deserr_codes::InvalidSettingsSearchCutoffMs,
|
||||
>,
|
||||
search_cutoff_ms,
|
||||
"searchCutoffMs",
|
||||
analytics,
|
||||
|setting: &Option<u64>, req: &HttpRequest| {
|
||||
analytics.publish(
|
||||
"Search Cutoff Updated".to_string(),
|
||||
serde_json::json!({"search_cutoff_ms": setting }),
|
||||
Some(req),
|
||||
);
|
||||
}
|
||||
);
|
||||
|
||||
macro_rules! generate_configure {
|
||||
($($mod:ident),*) => {
|
||||
pub fn configure(cfg: &mut web::ServiceConfig) {
|
||||
@ -672,8 +653,7 @@ generate_configure!(
|
||||
typo_tolerance,
|
||||
pagination,
|
||||
faceting,
|
||||
embedders,
|
||||
search_cutoff_ms
|
||||
embedders
|
||||
);
|
||||
|
||||
pub async fn update_all(
|
||||
@ -784,8 +764,7 @@ pub async fn update_all(
|
||||
"synonyms": {
|
||||
"total": new_settings.synonyms.as_ref().set().map(|synonyms| synonyms.len()),
|
||||
},
|
||||
"embedders": crate::routes::indexes::settings::embedder_analytics(new_settings.embedders.as_ref().set()),
|
||||
"search_cutoff_ms": new_settings.search_cutoff_ms.as_ref().set(),
|
||||
"embedders": crate::routes::indexes::settings::embedder_analytics(new_settings.embedders.as_ref().set())
|
||||
}),
|
||||
Some(&req),
|
||||
);
|
||||
@ -817,7 +796,7 @@ pub async fn get_all(
|
||||
|
||||
let index = index_scheduler.index(&index_uid)?;
|
||||
let rtxn = index.read_txn()?;
|
||||
let new_settings = settings(&index, &rtxn, SecretPolicy::HideSecrets)?;
|
||||
let new_settings = settings(&index, &rtxn)?;
|
||||
debug!(returns = ?new_settings, "Get all settings");
|
||||
Ok(HttpResponse::Ok().json(new_settings))
|
||||
}
|
||||
|
||||
@ -1,192 +0,0 @@
|
||||
use actix_web::web::{self, Data};
|
||||
use actix_web::{HttpRequest, HttpResponse};
|
||||
use deserr::actix_web::{AwebJson, AwebQueryParameter};
|
||||
use index_scheduler::IndexScheduler;
|
||||
use meilisearch_types::deserr::query_params::Param;
|
||||
use meilisearch_types::deserr::{DeserrJsonError, DeserrQueryParamError};
|
||||
use meilisearch_types::error::deserr_codes::*;
|
||||
use meilisearch_types::error::{ErrorCode as _, ResponseError};
|
||||
use meilisearch_types::index_uid::IndexUid;
|
||||
use meilisearch_types::keys::actions;
|
||||
use meilisearch_types::serde_cs::vec::CS;
|
||||
use serde_json::Value;
|
||||
use tracing::debug;
|
||||
|
||||
use super::ActionPolicy;
|
||||
use crate::analytics::{Analytics, SimilarAggregator};
|
||||
use crate::extractors::authentication::GuardedData;
|
||||
use crate::extractors::sequential_extractor::SeqHandler;
|
||||
use crate::search::{
|
||||
add_search_rules, perform_similar, RankingScoreThresholdSimilar, RetrieveVectors, SearchKind,
|
||||
SimilarQuery, SimilarResult, DEFAULT_SEARCH_LIMIT, DEFAULT_SEARCH_OFFSET,
|
||||
};
|
||||
|
||||
pub fn configure(cfg: &mut web::ServiceConfig) {
|
||||
cfg.service(
|
||||
web::resource("")
|
||||
.route(web::get().to(SeqHandler(similar_get)))
|
||||
.route(web::post().to(SeqHandler(similar_post))),
|
||||
);
|
||||
}
|
||||
|
||||
pub async fn similar_get(
|
||||
index_scheduler: GuardedData<ActionPolicy<{ actions::SEARCH }>, Data<IndexScheduler>>,
|
||||
index_uid: web::Path<String>,
|
||||
params: AwebQueryParameter<SimilarQueryGet, DeserrQueryParamError>,
|
||||
req: HttpRequest,
|
||||
analytics: web::Data<dyn Analytics>,
|
||||
) -> Result<HttpResponse, ResponseError> {
|
||||
let index_uid = IndexUid::try_from(index_uid.into_inner())?;
|
||||
|
||||
let query = params.0.try_into()?;
|
||||
|
||||
let mut aggregate = SimilarAggregator::from_query(&query, &req);
|
||||
|
||||
debug!(parameters = ?query, "Similar get");
|
||||
|
||||
let similar = similar(index_scheduler, index_uid, query).await;
|
||||
|
||||
if let Ok(similar) = &similar {
|
||||
aggregate.succeed(similar);
|
||||
}
|
||||
analytics.get_similar(aggregate);
|
||||
|
||||
let similar = similar?;
|
||||
|
||||
debug!(returns = ?similar, "Similar get");
|
||||
Ok(HttpResponse::Ok().json(similar))
|
||||
}
|
||||
|
||||
pub async fn similar_post(
|
||||
index_scheduler: GuardedData<ActionPolicy<{ actions::SEARCH }>, Data<IndexScheduler>>,
|
||||
index_uid: web::Path<String>,
|
||||
params: AwebJson<SimilarQuery, DeserrJsonError>,
|
||||
req: HttpRequest,
|
||||
analytics: web::Data<dyn Analytics>,
|
||||
) -> Result<HttpResponse, ResponseError> {
|
||||
let index_uid = IndexUid::try_from(index_uid.into_inner())?;
|
||||
|
||||
let query = params.into_inner();
|
||||
debug!(parameters = ?query, "Similar post");
|
||||
|
||||
let mut aggregate = SimilarAggregator::from_query(&query, &req);
|
||||
|
||||
let similar = similar(index_scheduler, index_uid, query).await;
|
||||
|
||||
if let Ok(similar) = &similar {
|
||||
aggregate.succeed(similar);
|
||||
}
|
||||
analytics.post_similar(aggregate);
|
||||
|
||||
let similar = similar?;
|
||||
|
||||
debug!(returns = ?similar, "Similar post");
|
||||
Ok(HttpResponse::Ok().json(similar))
|
||||
}
|
||||
|
||||
async fn similar(
|
||||
index_scheduler: GuardedData<ActionPolicy<{ actions::SEARCH }>, Data<IndexScheduler>>,
|
||||
index_uid: IndexUid,
|
||||
mut query: SimilarQuery,
|
||||
) -> Result<SimilarResult, ResponseError> {
|
||||
let features = index_scheduler.features();
|
||||
|
||||
features.check_vector("Using the similar API")?;
|
||||
|
||||
let retrieve_vectors = RetrieveVectors::new(query.retrieve_vectors, features)?;
|
||||
|
||||
// Tenant token search_rules.
|
||||
if let Some(search_rules) = index_scheduler.filters().get_index_search_rules(&index_uid) {
|
||||
add_search_rules(&mut query.filter, search_rules);
|
||||
}
|
||||
|
||||
let index = index_scheduler.index(&index_uid)?;
|
||||
|
||||
let (embedder_name, embedder) =
|
||||
SearchKind::embedder(&index_scheduler, &index, query.embedder.as_deref(), None)?;
|
||||
|
||||
tokio::task::spawn_blocking(move || {
|
||||
perform_similar(&index, query, embedder_name, embedder, retrieve_vectors)
|
||||
})
|
||||
.await?
|
||||
}
|
||||
|
||||
#[derive(Debug, deserr::Deserr)]
|
||||
#[deserr(error = DeserrQueryParamError, rename_all = camelCase, deny_unknown_fields)]
|
||||
pub struct SimilarQueryGet {
|
||||
#[deserr(error = DeserrQueryParamError<InvalidSimilarId>)]
|
||||
id: Param<String>,
|
||||
#[deserr(default = Param(DEFAULT_SEARCH_OFFSET()), error = DeserrQueryParamError<InvalidSimilarOffset>)]
|
||||
offset: Param<usize>,
|
||||
#[deserr(default = Param(DEFAULT_SEARCH_LIMIT()), error = DeserrQueryParamError<InvalidSimilarLimit>)]
|
||||
limit: Param<usize>,
|
||||
#[deserr(default, error = DeserrQueryParamError<InvalidSimilarAttributesToRetrieve>)]
|
||||
attributes_to_retrieve: Option<CS<String>>,
|
||||
#[deserr(default, error = DeserrQueryParamError<InvalidSimilarRetrieveVectors>)]
|
||||
retrieve_vectors: Param<bool>,
|
||||
#[deserr(default, error = DeserrQueryParamError<InvalidSimilarFilter>)]
|
||||
filter: Option<String>,
|
||||
#[deserr(default, error = DeserrQueryParamError<InvalidSimilarShowRankingScore>)]
|
||||
show_ranking_score: Param<bool>,
|
||||
#[deserr(default, error = DeserrQueryParamError<InvalidSimilarShowRankingScoreDetails>)]
|
||||
show_ranking_score_details: Param<bool>,
|
||||
#[deserr(default, error = DeserrQueryParamError<InvalidSimilarRankingScoreThreshold>, default)]
|
||||
pub ranking_score_threshold: Option<RankingScoreThresholdGet>,
|
||||
#[deserr(default, error = DeserrQueryParamError<InvalidEmbedder>)]
|
||||
pub embedder: Option<String>,
|
||||
}
|
||||
|
||||
#[derive(Debug, Clone, Copy, PartialEq, deserr::Deserr)]
|
||||
#[deserr(try_from(String) = TryFrom::try_from -> InvalidSimilarRankingScoreThreshold)]
|
||||
pub struct RankingScoreThresholdGet(RankingScoreThresholdSimilar);
|
||||
|
||||
impl std::convert::TryFrom<String> for RankingScoreThresholdGet {
|
||||
type Error = InvalidSimilarRankingScoreThreshold;
|
||||
|
||||
fn try_from(s: String) -> Result<Self, Self::Error> {
|
||||
let f: f64 = s.parse().map_err(|_| InvalidSimilarRankingScoreThreshold)?;
|
||||
Ok(RankingScoreThresholdGet(RankingScoreThresholdSimilar::try_from(f)?))
|
||||
}
|
||||
}
|
||||
|
||||
impl TryFrom<SimilarQueryGet> for SimilarQuery {
|
||||
type Error = ResponseError;
|
||||
|
||||
fn try_from(
|
||||
SimilarQueryGet {
|
||||
id,
|
||||
offset,
|
||||
limit,
|
||||
attributes_to_retrieve,
|
||||
retrieve_vectors,
|
||||
filter,
|
||||
show_ranking_score,
|
||||
show_ranking_score_details,
|
||||
embedder,
|
||||
ranking_score_threshold,
|
||||
}: SimilarQueryGet,
|
||||
) -> Result<Self, Self::Error> {
|
||||
let filter = match filter {
|
||||
Some(f) => match serde_json::from_str(&f) {
|
||||
Ok(v) => Some(v),
|
||||
_ => Some(Value::String(f)),
|
||||
},
|
||||
None => None,
|
||||
};
|
||||
|
||||
Ok(SimilarQuery {
|
||||
id: id.0.try_into().map_err(|code: InvalidSimilarId| {
|
||||
ResponseError::from_msg(code.to_string(), code.error_code())
|
||||
})?,
|
||||
offset: offset.0,
|
||||
limit: limit.0,
|
||||
filter,
|
||||
embedder,
|
||||
attributes_to_retrieve: attributes_to_retrieve.map(|o| o.into_iter().collect()),
|
||||
retrieve_vectors: retrieve_vectors.0,
|
||||
show_ranking_score: show_ranking_score.0,
|
||||
show_ranking_score_details: show_ranking_score_details.0,
|
||||
ranking_score_threshold: ranking_score_threshold.map(|x| x.0),
|
||||
})
|
||||
}
|
||||
}
|
||||
@ -8,12 +8,13 @@ use meilisearch_types::error::{Code, ResponseError};
|
||||
use meilisearch_types::settings::{Settings, Unchecked};
|
||||
use meilisearch_types::tasks::{Kind, Status, Task, TaskId};
|
||||
use serde::{Deserialize, Serialize};
|
||||
use serde_json::json;
|
||||
use time::OffsetDateTime;
|
||||
use tracing::debug;
|
||||
|
||||
use crate::analytics::Analytics;
|
||||
use crate::extractors::authentication::policies::*;
|
||||
use crate::extractors::authentication::GuardedData;
|
||||
use crate::search_queue::SearchQueue;
|
||||
use crate::Opt;
|
||||
|
||||
const PAGINATION_DEFAULT_LIMIT: usize = 20;
|
||||
@ -294,7 +295,10 @@ pub struct Stats {
|
||||
async fn get_stats(
|
||||
index_scheduler: GuardedData<ActionPolicy<{ actions::STATS_GET }>, Data<IndexScheduler>>,
|
||||
auth_controller: GuardedData<ActionPolicy<{ actions::STATS_GET }>, Data<AuthController>>,
|
||||
req: HttpRequest,
|
||||
analytics: web::Data<dyn Analytics>,
|
||||
) -> Result<HttpResponse, ResponseError> {
|
||||
analytics.publish("Stats Seen".to_string(), json!({ "per_index_uid": false }), Some(&req));
|
||||
let filters = index_scheduler.filters();
|
||||
|
||||
let stats = create_all_stats((*index_scheduler).clone(), (*auth_controller).clone(), filters)?;
|
||||
@ -350,7 +354,11 @@ struct VersionResponse {
|
||||
|
||||
async fn get_version(
|
||||
_index_scheduler: GuardedData<ActionPolicy<{ actions::VERSION }>, Data<IndexScheduler>>,
|
||||
req: HttpRequest,
|
||||
analytics: web::Data<dyn Analytics>,
|
||||
) -> HttpResponse {
|
||||
analytics.publish("Version Seen".to_string(), json!(null), Some(&req));
|
||||
|
||||
let build_info = build_info::BuildInfo::from_build();
|
||||
|
||||
HttpResponse::Ok().json(VersionResponse {
|
||||
@ -367,12 +375,20 @@ async fn get_version(
|
||||
})
|
||||
}
|
||||
|
||||
#[derive(Serialize)]
|
||||
struct KeysResponse {
|
||||
private: Option<String>,
|
||||
public: Option<String>,
|
||||
}
|
||||
|
||||
pub async fn get_health(
|
||||
req: HttpRequest,
|
||||
index_scheduler: Data<IndexScheduler>,
|
||||
auth_controller: Data<AuthController>,
|
||||
search_queue: Data<SearchQueue>,
|
||||
analytics: web::Data<dyn Analytics>,
|
||||
) -> Result<HttpResponse, ResponseError> {
|
||||
search_queue.health().unwrap();
|
||||
analytics.health_seen(&req);
|
||||
|
||||
index_scheduler.health().unwrap();
|
||||
auth_controller.health().unwrap();
|
||||
|
||||
|
||||
@ -13,11 +13,10 @@ use crate::analytics::{Analytics, MultiSearchAggregator};
|
||||
use crate::extractors::authentication::policies::ActionPolicy;
|
||||
use crate::extractors::authentication::{AuthenticationError, GuardedData};
|
||||
use crate::extractors::sequential_extractor::SeqHandler;
|
||||
use crate::routes::indexes::search::search_kind;
|
||||
use crate::routes::indexes::search::embed;
|
||||
use crate::search::{
|
||||
add_search_rules, perform_search, RetrieveVectors, SearchQueryWithIndex, SearchResultWithIndex,
|
||||
add_search_rules, perform_search, SearchQueryWithIndex, SearchResultWithIndex,
|
||||
};
|
||||
use crate::search_queue::SearchQueue;
|
||||
|
||||
pub fn configure(cfg: &mut web::ServiceConfig) {
|
||||
cfg.service(web::resource("").route(web::post().to(SeqHandler(multi_search_with_post))));
|
||||
@ -36,7 +35,6 @@ pub struct SearchQueries {
|
||||
|
||||
pub async fn multi_search_with_post(
|
||||
index_scheduler: GuardedData<ActionPolicy<{ actions::SEARCH }>, Data<IndexScheduler>>,
|
||||
search_queue: Data<SearchQueue>,
|
||||
params: AwebJson<SearchQueries, DeserrJsonError>,
|
||||
req: HttpRequest,
|
||||
analytics: web::Data<dyn Analytics>,
|
||||
@ -46,10 +44,6 @@ pub async fn multi_search_with_post(
|
||||
let mut multi_aggregate = MultiSearchAggregator::from_queries(&queries, &req);
|
||||
let features = index_scheduler.features();
|
||||
|
||||
// Since we don't want to process half of the search requests and then get a permit refused
|
||||
// we're going to get one permit for the whole duration of the multi-search request.
|
||||
let _permit = search_queue.try_get_search_permit().await?;
|
||||
|
||||
// Explicitly expect a `(ResponseError, usize)` for the error type rather than `ResponseError` only,
|
||||
// so that `?` doesn't work if it doesn't use `with_index`, ensuring that it is not forgotten in case of code
|
||||
// changes.
|
||||
@ -67,7 +61,7 @@ pub async fn multi_search_with_post(
|
||||
// Apply search rules from tenant token
|
||||
if let Some(search_rules) = index_scheduler.filters().get_index_search_rules(&index_uid)
|
||||
{
|
||||
add_search_rules(&mut query.filter, search_rules);
|
||||
add_search_rules(&mut query, search_rules);
|
||||
}
|
||||
|
||||
let index = index_scheduler
|
||||
@ -81,13 +75,12 @@ pub async fn multi_search_with_post(
|
||||
})
|
||||
.with_index(query_index)?;
|
||||
|
||||
let search_kind = search_kind(&query, index_scheduler.get_ref(), &index, features)
|
||||
let distribution = embed(&mut query, index_scheduler.get_ref(), &index)
|
||||
.await
|
||||
.with_index(query_index)?;
|
||||
let retrieve_vector =
|
||||
RetrieveVectors::new(query.retrieve_vectors, features).with_index(query_index)?;
|
||||
|
||||
let search_result = tokio::task::spawn_blocking(move || {
|
||||
perform_search(&index, query, search_kind, retrieve_vector)
|
||||
perform_search(&index, query, features, distribution)
|
||||
})
|
||||
.await
|
||||
.with_index(query_index)?;
|
||||
|
||||
@ -270,8 +270,12 @@ pub struct AllTasks {
|
||||
async fn get_tasks(
|
||||
index_scheduler: GuardedData<ActionPolicy<{ actions::TASKS_GET }>, Data<IndexScheduler>>,
|
||||
params: AwebQueryParameter<TasksFilterQuery, DeserrQueryParamError>,
|
||||
req: HttpRequest,
|
||||
analytics: web::Data<dyn Analytics>,
|
||||
) -> Result<HttpResponse, ResponseError> {
|
||||
let mut params = params.into_inner();
|
||||
analytics.get_tasks(¶ms, &req);
|
||||
|
||||
// We +1 just to know if there is more after this "page" or not.
|
||||
params.limit.0 = params.limit.0.saturating_add(1);
|
||||
let limit = params.limit.0;
|
||||
@ -294,6 +298,8 @@ async fn get_tasks(
|
||||
async fn get_task(
|
||||
index_scheduler: GuardedData<ActionPolicy<{ actions::TASKS_GET }>, Data<IndexScheduler>>,
|
||||
task_uid: web::Path<String>,
|
||||
req: HttpRequest,
|
||||
analytics: web::Data<dyn Analytics>,
|
||||
) -> Result<HttpResponse, ResponseError> {
|
||||
let task_uid_string = task_uid.into_inner();
|
||||
|
||||
@ -304,6 +310,8 @@ async fn get_task(
|
||||
}
|
||||
};
|
||||
|
||||
analytics.publish("Tasks Seen".to_string(), json!({ "per_task_uid": true }), Some(&req));
|
||||
|
||||
let query = index_scheduler::Query { uids: Some(vec![task_uid]), ..Query::default() };
|
||||
let filters = index_scheduler.filters();
|
||||
let (tasks, _) = index_scheduler.get_tasks_from_authorized_indexes(query, filters)?;
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@ -1,136 +0,0 @@
|
||||
//! This file implements a queue of searches to process and the ability to control how many searches can be run in parallel.
|
||||
//! We need this because we don't want to process more search requests than we have cores.
|
||||
//! That slows down everything and consumes RAM for no reason.
|
||||
//! The steps to do a search are to get the `SearchQueue` data structure and try to get a search permit.
|
||||
//! This can fail if the queue is full, and we need to drop your search request to register a new one.
|
||||
//!
|
||||
//! ### How to do a search request
|
||||
//!
|
||||
//! In order to do a search request you should try to get a search permit.
|
||||
//! Retrieve the `SearchQueue` structure from actix-web (`search_queue: Data<SearchQueue>`)
|
||||
//! and right before processing the search, calls the `SearchQueue::try_get_search_permit` method: `search_queue.try_get_search_permit().await?;`
|
||||
//!
|
||||
//! What is going to happen at this point is that you're going to send a oneshot::Sender over an async mpsc channel.
|
||||
//! Then, the queue/scheduler is going to either:
|
||||
//! - Drop your oneshot channel => that means there are too many searches going on, and yours won't be executed.
|
||||
//! You should exit and free all the RAM you use ASAP.
|
||||
//! - Sends you a Permit => that will unlock the method, and you will be able to process your search.
|
||||
//! And should drop the Permit only once you have freed all the RAM consumed by the method.
|
||||
|
||||
use std::num::NonZeroUsize;
|
||||
|
||||
use rand::rngs::StdRng;
|
||||
use rand::{Rng, SeedableRng};
|
||||
use tokio::sync::{mpsc, oneshot};
|
||||
|
||||
use crate::error::MeilisearchHttpError;
|
||||
|
||||
#[derive(Debug)]
|
||||
pub struct SearchQueue {
|
||||
sender: mpsc::Sender<oneshot::Sender<Permit>>,
|
||||
capacity: usize,
|
||||
}
|
||||
|
||||
/// You should only run search requests while holding this permit.
|
||||
/// Once it's dropped, a new search request will be able to process.
|
||||
#[derive(Debug)]
|
||||
pub struct Permit {
|
||||
sender: mpsc::Sender<()>,
|
||||
}
|
||||
|
||||
impl Drop for Permit {
|
||||
fn drop(&mut self) {
|
||||
let sender = self.sender.clone();
|
||||
// if the channel is closed then the whole instance is down
|
||||
std::mem::drop(tokio::spawn(async move { sender.send(()).await }));
|
||||
}
|
||||
}
|
||||
|
||||
impl SearchQueue {
|
||||
pub fn new(capacity: usize, paralellism: NonZeroUsize) -> Self {
|
||||
// Search requests are going to wait until we're available anyway,
|
||||
// so let's not allocate any RAM and keep a capacity of 1.
|
||||
let (sender, receiver) = mpsc::channel(1);
|
||||
|
||||
tokio::task::spawn(Self::run(capacity, paralellism, receiver));
|
||||
Self { sender, capacity }
|
||||
}
|
||||
|
||||
/// This function is the main loop, it's in charge on scheduling which search request should execute first and
|
||||
/// how many should executes at the same time.
|
||||
///
|
||||
/// It **must never** panic or exit.
|
||||
async fn run(
|
||||
capacity: usize,
|
||||
parallelism: NonZeroUsize,
|
||||
mut receive_new_searches: mpsc::Receiver<oneshot::Sender<Permit>>,
|
||||
) {
|
||||
let mut queue: Vec<oneshot::Sender<Permit>> = Default::default();
|
||||
let mut rng: StdRng = StdRng::from_entropy();
|
||||
let mut searches_running: usize = 0;
|
||||
// By having a capacity of parallelism we ensures that every time a search finish it can release its RAM asap
|
||||
let (sender, mut search_finished) = mpsc::channel(parallelism.into());
|
||||
|
||||
loop {
|
||||
tokio::select! {
|
||||
// biased select because we wants to free up space before trying to register new tasks
|
||||
biased;
|
||||
_ = search_finished.recv() => {
|
||||
searches_running = searches_running.saturating_sub(1);
|
||||
if !queue.is_empty() {
|
||||
// Can't panic: the queue wasn't empty thus the range isn't empty.
|
||||
let remove = rng.gen_range(0..queue.len());
|
||||
let channel = queue.swap_remove(remove);
|
||||
let _ = channel.send(Permit { sender: sender.clone() });
|
||||
}
|
||||
},
|
||||
|
||||
search_request = receive_new_searches.recv() => {
|
||||
let search_request = match search_request {
|
||||
Some(search_request) => search_request,
|
||||
// This should never happen while actix-web is running, but it's not a reason to crash
|
||||
// and it can generate a lot of noise in the tests.
|
||||
None => continue,
|
||||
};
|
||||
|
||||
if searches_running < usize::from(parallelism) && queue.is_empty() {
|
||||
searches_running += 1;
|
||||
// if the search requests die it's not a hard error on our side
|
||||
let _ = search_request.send(Permit { sender: sender.clone() });
|
||||
continue;
|
||||
} else if capacity == 0 {
|
||||
// in the very specific case where we have a capacity of zero
|
||||
// we must refuse the request straight away without going through
|
||||
// the queue stuff.
|
||||
drop(search_request);
|
||||
continue;
|
||||
|
||||
} else if queue.len() >= capacity {
|
||||
let remove = rng.gen_range(0..queue.len());
|
||||
let thing = queue.swap_remove(remove); // this will drop the channel and notify the search that it won't be processed
|
||||
drop(thing);
|
||||
}
|
||||
queue.push(search_request);
|
||||
},
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/// Returns a search `Permit`.
|
||||
/// It should be dropped as soon as you've freed all the RAM associated with the search request being processed.
|
||||
pub async fn try_get_search_permit(&self) -> Result<Permit, MeilisearchHttpError> {
|
||||
let (sender, receiver) = oneshot::channel();
|
||||
self.sender.send(sender).await.map_err(|_| MeilisearchHttpError::SearchLimiterIsDown)?;
|
||||
receiver.await.map_err(|_| MeilisearchHttpError::TooManySearchRequests(self.capacity))
|
||||
}
|
||||
|
||||
/// Returns `Ok(())` if everything seems normal.
|
||||
/// Returns `Err(MeilisearchHttpError::SearchLimiterIsDown)` if the search limiter seems down.
|
||||
pub fn health(&self) -> Result<(), MeilisearchHttpError> {
|
||||
if self.sender.is_closed() {
|
||||
Err(MeilisearchHttpError::SearchLimiterIsDown)
|
||||
} else {
|
||||
Ok(())
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -182,10 +182,14 @@ impl Index<'_> {
|
||||
self.service.get(url).await
|
||||
}
|
||||
|
||||
pub async fn get_document(&self, id: u64, options: Option<Value>) -> (Value, StatusCode) {
|
||||
pub async fn get_document(
|
||||
&self,
|
||||
id: u64,
|
||||
options: Option<GetDocumentOptions>,
|
||||
) -> (Value, StatusCode) {
|
||||
let mut url = format!("/indexes/{}/documents/{}", urlencode(self.uid.as_ref()), id);
|
||||
if let Some(options) = options {
|
||||
write!(url, "?{}", yaup::to_string(&options).unwrap()).unwrap();
|
||||
if let Some(fields) = options.and_then(|o| o.fields) {
|
||||
let _ = write!(url, "?fields={}", fields.join(","));
|
||||
}
|
||||
self.service.get(url).await
|
||||
}
|
||||
@ -201,11 +205,18 @@ impl Index<'_> {
|
||||
}
|
||||
|
||||
pub async fn get_all_documents(&self, options: GetAllDocumentsOptions) -> (Value, StatusCode) {
|
||||
let url = format!(
|
||||
"/indexes/{}/documents?{}",
|
||||
urlencode(self.uid.as_ref()),
|
||||
yaup::to_string(&options).unwrap()
|
||||
);
|
||||
let mut url = format!("/indexes/{}/documents?", urlencode(self.uid.as_ref()));
|
||||
if let Some(limit) = options.limit {
|
||||
let _ = write!(url, "limit={}&", limit);
|
||||
}
|
||||
|
||||
if let Some(offset) = options.offset {
|
||||
let _ = write!(url, "offset={}&", offset);
|
||||
}
|
||||
|
||||
if let Some(attributes_to_retrieve) = options.attributes_to_retrieve {
|
||||
let _ = write!(url, "fields={}&", attributes_to_retrieve.join(","));
|
||||
}
|
||||
|
||||
self.service.get(url).await
|
||||
}
|
||||
@ -317,11 +328,6 @@ impl Index<'_> {
|
||||
self.service.patch_encoded(url, settings, self.encoder).await
|
||||
}
|
||||
|
||||
pub async fn update_settings_search_cutoff_ms(&self, settings: Value) -> (Value, StatusCode) {
|
||||
let url = format!("/indexes/{}/settings/search-cutoff-ms", urlencode(self.uid.as_ref()));
|
||||
self.service.put_encoded(url, settings, self.encoder).await
|
||||
}
|
||||
|
||||
pub async fn delete_settings(&self) -> (Value, StatusCode) {
|
||||
let url = format!("/indexes/{}/settings", urlencode(self.uid.as_ref()));
|
||||
self.service.delete(url).await
|
||||
@ -369,43 +375,6 @@ impl Index<'_> {
|
||||
self.service.get(url).await
|
||||
}
|
||||
|
||||
/// Performs both GET and POST similar queries
|
||||
pub async fn similar(
|
||||
&self,
|
||||
query: Value,
|
||||
test: impl Fn(Value, StatusCode) + UnwindSafe + Clone,
|
||||
) {
|
||||
let post = self.similar_post(query.clone()).await;
|
||||
|
||||
let query = yaup::to_string(&query).unwrap();
|
||||
let get = self.similar_get(&query).await;
|
||||
|
||||
insta::allow_duplicates! {
|
||||
let (response, code) = post;
|
||||
let t = test.clone();
|
||||
if let Err(e) = catch_unwind(move || t(response, code)) {
|
||||
eprintln!("Error with post search");
|
||||
resume_unwind(e);
|
||||
}
|
||||
|
||||
let (response, code) = get;
|
||||
if let Err(e) = catch_unwind(move || test(response, code)) {
|
||||
eprintln!("Error with get search");
|
||||
resume_unwind(e);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
pub async fn similar_post(&self, query: Value) -> (Value, StatusCode) {
|
||||
let url = format!("/indexes/{}/similar", urlencode(self.uid.as_ref()));
|
||||
self.service.post_encoded(url, query, self.encoder).await
|
||||
}
|
||||
|
||||
pub async fn similar_get(&self, query: &str) -> (Value, StatusCode) {
|
||||
let url = format!("/indexes/{}/similar?{}", urlencode(self.uid.as_ref()), query);
|
||||
self.service.get(url).await
|
||||
}
|
||||
|
||||
pub async fn facet_search(&self, query: Value) -> (Value, StatusCode) {
|
||||
let url = format!("/indexes/{}/facet-search", urlencode(self.uid.as_ref()));
|
||||
self.service.post_encoded(url, query, self.encoder).await
|
||||
@ -424,11 +393,13 @@ impl Index<'_> {
|
||||
}
|
||||
}
|
||||
|
||||
#[derive(Debug, Default, serde::Serialize)]
|
||||
#[serde(rename_all = "camelCase")]
|
||||
pub struct GetDocumentOptions {
|
||||
pub fields: Option<Vec<&'static str>>,
|
||||
}
|
||||
|
||||
#[derive(Debug, Default)]
|
||||
pub struct GetAllDocumentsOptions {
|
||||
pub limit: Option<usize>,
|
||||
pub offset: Option<usize>,
|
||||
pub retrieve_vectors: bool,
|
||||
pub fields: Option<Vec<&'static str>>,
|
||||
pub attributes_to_retrieve: Option<Vec<&'static str>>,
|
||||
}
|
||||
|
||||
@ -6,7 +6,7 @@ pub mod service;
|
||||
use std::fmt::{self, Display};
|
||||
|
||||
#[allow(unused)]
|
||||
pub use index::GetAllDocumentsOptions;
|
||||
pub use index::{GetAllDocumentsOptions, GetDocumentOptions};
|
||||
use meili_snap::json_string;
|
||||
use serde::{Deserialize, Serialize};
|
||||
#[allow(unused)]
|
||||
@ -16,7 +16,6 @@ pub use server::{default_settings, Server};
|
||||
pub struct Value(pub serde_json::Value);
|
||||
|
||||
impl Value {
|
||||
#[track_caller]
|
||||
pub fn uid(&self) -> u64 {
|
||||
if let Some(uid) = self["uid"].as_u64() {
|
||||
uid
|
||||
@ -65,7 +64,7 @@ impl Display for Value {
|
||||
write!(
|
||||
f,
|
||||
"{}",
|
||||
json_string!(self, { ".enqueuedAt" => "[date]", ".startedAt" => "[date]", ".finishedAt" => "[date]", ".duration" => "[duration]", ".processingTimeMs" => "[duration]" })
|
||||
json_string!(self, { ".enqueuedAt" => "[date]", ".startedAt" => "[date]", ".finishedAt" => "[date]", ".duration" => "[duration]" })
|
||||
)
|
||||
}
|
||||
}
|
||||
|
||||
@ -1237,8 +1237,8 @@ async fn error_add_documents_missing_document_id() {
|
||||
}
|
||||
|
||||
#[actix_rt::test]
|
||||
#[should_panic]
|
||||
async fn error_document_field_limit_reached_in_one_document() {
|
||||
#[ignore] // // TODO: Fix in an other PR: this does not provoke any error.
|
||||
async fn error_document_field_limit_reached() {
|
||||
let server = Server::new().await;
|
||||
let index = server.index("test");
|
||||
|
||||
@ -1246,241 +1246,22 @@ async fn error_document_field_limit_reached_in_one_document() {
|
||||
|
||||
let mut big_object = std::collections::HashMap::new();
|
||||
big_object.insert("id".to_owned(), "wow");
|
||||
for i in 0..(u16::MAX as usize + 1) {
|
||||
for i in 0..65535 {
|
||||
let key = i.to_string();
|
||||
big_object.insert(key, "I am a text!");
|
||||
}
|
||||
|
||||
let documents = json!([big_object]);
|
||||
|
||||
let (response, code) = index.update_documents(documents, Some("id")).await;
|
||||
snapshot!(code, @"500 Internal Server Error");
|
||||
let (_response, code) = index.update_documents(documents, Some("id")).await;
|
||||
snapshot!(code, @"202");
|
||||
|
||||
let response = index.wait_task(response.uid()).await;
|
||||
snapshot!(code, @"202 Accepted");
|
||||
index.wait_task(0).await;
|
||||
let (response, code) = index.get_task(0).await;
|
||||
snapshot!(code, @"200");
|
||||
// Documents without a primary key are not accepted.
|
||||
snapshot!(response,
|
||||
@r###"
|
||||
{
|
||||
"uid": 1,
|
||||
"indexUid": "test",
|
||||
"status": "succeeded",
|
||||
"type": "documentAdditionOrUpdate",
|
||||
"canceledBy": null,
|
||||
"details": {
|
||||
"receivedDocuments": 1,
|
||||
"indexedDocuments": 1
|
||||
},
|
||||
"error": null,
|
||||
"duration": "[duration]",
|
||||
"enqueuedAt": "[date]",
|
||||
"startedAt": "[date]",
|
||||
"finishedAt": "[date]"
|
||||
}
|
||||
"###);
|
||||
}
|
||||
|
||||
#[actix_rt::test]
|
||||
async fn error_document_field_limit_reached_over_multiple_documents() {
|
||||
let server = Server::new().await;
|
||||
let index = server.index("test");
|
||||
|
||||
index.create(Some("id")).await;
|
||||
|
||||
let mut big_object = std::collections::HashMap::new();
|
||||
big_object.insert("id".to_owned(), "wow");
|
||||
for i in 0..(u16::MAX / 2) {
|
||||
let key = i.to_string();
|
||||
big_object.insert(key, "I am a text!");
|
||||
}
|
||||
|
||||
let documents = json!([big_object]);
|
||||
|
||||
let (response, code) = index.update_documents(documents, Some("id")).await;
|
||||
snapshot!(code, @"202 Accepted");
|
||||
|
||||
let response = index.wait_task(response.uid()).await;
|
||||
snapshot!(code, @"202 Accepted");
|
||||
snapshot!(response,
|
||||
@r###"
|
||||
{
|
||||
"uid": 1,
|
||||
"indexUid": "test",
|
||||
"status": "succeeded",
|
||||
"type": "documentAdditionOrUpdate",
|
||||
"canceledBy": null,
|
||||
"details": {
|
||||
"receivedDocuments": 1,
|
||||
"indexedDocuments": 1
|
||||
},
|
||||
"error": null,
|
||||
"duration": "[duration]",
|
||||
"enqueuedAt": "[date]",
|
||||
"startedAt": "[date]",
|
||||
"finishedAt": "[date]"
|
||||
}
|
||||
"###);
|
||||
|
||||
let mut big_object = std::collections::HashMap::new();
|
||||
big_object.insert("id".to_owned(), "waw");
|
||||
for i in (u16::MAX as usize / 2)..(u16::MAX as usize + 1) {
|
||||
let key = i.to_string();
|
||||
big_object.insert(key, "I am a text!");
|
||||
}
|
||||
|
||||
let documents = json!([big_object]);
|
||||
|
||||
let (response, code) = index.update_documents(documents, Some("id")).await;
|
||||
snapshot!(code, @"202 Accepted");
|
||||
|
||||
let response = index.wait_task(response.uid()).await;
|
||||
snapshot!(code, @"202 Accepted");
|
||||
snapshot!(response,
|
||||
@r###"
|
||||
{
|
||||
"uid": 2,
|
||||
"indexUid": "test",
|
||||
"status": "failed",
|
||||
"type": "documentAdditionOrUpdate",
|
||||
"canceledBy": null,
|
||||
"details": {
|
||||
"receivedDocuments": 1,
|
||||
"indexedDocuments": 0
|
||||
},
|
||||
"error": {
|
||||
"message": "A document cannot contain more than 65,535 fields.",
|
||||
"code": "max_fields_limit_exceeded",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#max_fields_limit_exceeded"
|
||||
},
|
||||
"duration": "[duration]",
|
||||
"enqueuedAt": "[date]",
|
||||
"startedAt": "[date]",
|
||||
"finishedAt": "[date]"
|
||||
}
|
||||
"###);
|
||||
}
|
||||
|
||||
#[actix_rt::test]
|
||||
async fn error_document_field_limit_reached_in_one_nested_document() {
|
||||
let server = Server::new().await;
|
||||
let index = server.index("test");
|
||||
|
||||
index.create(Some("id")).await;
|
||||
|
||||
let mut nested = std::collections::HashMap::new();
|
||||
for i in 0..(u16::MAX as usize + 1) {
|
||||
let key = i.to_string();
|
||||
nested.insert(key, "I am a text!");
|
||||
}
|
||||
let mut big_object = std::collections::HashMap::new();
|
||||
big_object.insert("id".to_owned(), "wow");
|
||||
|
||||
let documents = json!([big_object]);
|
||||
|
||||
let (response, code) = index.update_documents(documents, Some("id")).await;
|
||||
snapshot!(code, @"202 Accepted");
|
||||
|
||||
let response = index.wait_task(response.uid()).await;
|
||||
snapshot!(code, @"202 Accepted");
|
||||
// Documents without a primary key are not accepted.
|
||||
snapshot!(response,
|
||||
@r###"
|
||||
{
|
||||
"uid": 1,
|
||||
"indexUid": "test",
|
||||
"status": "succeeded",
|
||||
"type": "documentAdditionOrUpdate",
|
||||
"canceledBy": null,
|
||||
"details": {
|
||||
"receivedDocuments": 1,
|
||||
"indexedDocuments": 1
|
||||
},
|
||||
"error": null,
|
||||
"duration": "[duration]",
|
||||
"enqueuedAt": "[date]",
|
||||
"startedAt": "[date]",
|
||||
"finishedAt": "[date]"
|
||||
}
|
||||
"###);
|
||||
}
|
||||
|
||||
#[actix_rt::test]
|
||||
async fn error_document_field_limit_reached_over_multiple_documents_with_nested_fields() {
|
||||
let server = Server::new().await;
|
||||
let index = server.index("test");
|
||||
|
||||
index.create(Some("id")).await;
|
||||
|
||||
let mut nested = std::collections::HashMap::new();
|
||||
for i in 0..(u16::MAX / 2) {
|
||||
let key = i.to_string();
|
||||
nested.insert(key, "I am a text!");
|
||||
}
|
||||
let mut big_object = std::collections::HashMap::new();
|
||||
big_object.insert("id".to_owned(), "wow");
|
||||
|
||||
let documents = json!([big_object]);
|
||||
|
||||
let (response, code) = index.update_documents(documents, Some("id")).await;
|
||||
snapshot!(code, @"202 Accepted");
|
||||
|
||||
let response = index.wait_task(response.uid()).await;
|
||||
snapshot!(code, @"202 Accepted");
|
||||
snapshot!(response,
|
||||
@r###"
|
||||
{
|
||||
"uid": 1,
|
||||
"indexUid": "test",
|
||||
"status": "succeeded",
|
||||
"type": "documentAdditionOrUpdate",
|
||||
"canceledBy": null,
|
||||
"details": {
|
||||
"receivedDocuments": 1,
|
||||
"indexedDocuments": 1
|
||||
},
|
||||
"error": null,
|
||||
"duration": "[duration]",
|
||||
"enqueuedAt": "[date]",
|
||||
"startedAt": "[date]",
|
||||
"finishedAt": "[date]"
|
||||
}
|
||||
"###);
|
||||
|
||||
let mut nested = std::collections::HashMap::new();
|
||||
for i in 0..(u16::MAX / 2) {
|
||||
let key = i.to_string();
|
||||
nested.insert(key, "I am a text!");
|
||||
}
|
||||
let mut big_object = std::collections::HashMap::new();
|
||||
big_object.insert("id".to_owned(), "wow");
|
||||
|
||||
let documents = json!([big_object]);
|
||||
|
||||
let (response, code) = index.update_documents(documents, Some("id")).await;
|
||||
snapshot!(code, @"202 Accepted");
|
||||
|
||||
let response = index.wait_task(response.uid()).await;
|
||||
snapshot!(code, @"202 Accepted");
|
||||
snapshot!(response,
|
||||
@r###"
|
||||
{
|
||||
"uid": 2,
|
||||
"indexUid": "test",
|
||||
"status": "succeeded",
|
||||
"type": "documentAdditionOrUpdate",
|
||||
"canceledBy": null,
|
||||
"details": {
|
||||
"receivedDocuments": 1,
|
||||
"indexedDocuments": 1
|
||||
},
|
||||
"error": null,
|
||||
"duration": "[duration]",
|
||||
"enqueuedAt": "[date]",
|
||||
"startedAt": "[date]",
|
||||
"finishedAt": "[date]"
|
||||
}
|
||||
"###);
|
||||
snapshot!(json_string!(response, { ".duration" => "[duration]", ".enqueuedAt" => "[date]", ".startedAt" => "[date]", ".finishedAt" => "[date]" }),
|
||||
@"");
|
||||
}
|
||||
|
||||
#[actix_rt::test]
|
||||
|
||||
@ -795,70 +795,3 @@ async fn fetch_document_by_filter() {
|
||||
}
|
||||
"###);
|
||||
}
|
||||
|
||||
#[actix_rt::test]
|
||||
async fn retrieve_vectors() {
|
||||
let server = Server::new().await;
|
||||
let index = server.index("doggo");
|
||||
|
||||
// GET ALL DOCUMENTS BY QUERY
|
||||
let (response, _code) = index.get_all_documents_raw("?retrieveVectors=tamo").await;
|
||||
snapshot!(json_string!(response), @r###"
|
||||
{
|
||||
"message": "Invalid value in parameter `retrieveVectors`: could not parse `tamo` as a boolean, expected either `true` or `false`",
|
||||
"code": "invalid_document_retrieve_vectors",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_document_retrieve_vectors"
|
||||
}
|
||||
"###);
|
||||
let (response, _code) = index.get_all_documents_raw("?retrieveVectors=true").await;
|
||||
snapshot!(json_string!(response), @r###"
|
||||
{
|
||||
"message": "Passing `retrieveVectors` as a parameter requires enabling the `vector store` experimental feature. See https://github.com/meilisearch/product/discussions/677",
|
||||
"code": "feature_not_enabled",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#feature_not_enabled"
|
||||
}
|
||||
"###);
|
||||
|
||||
// FETCH ALL DOCUMENTS BY POST
|
||||
let (response, _code) =
|
||||
index.get_document_by_filter(json!({ "retrieveVectors": "tamo" })).await;
|
||||
snapshot!(json_string!(response), @r###"
|
||||
{
|
||||
"message": "Invalid value type at `.retrieveVectors`: expected a boolean, but found a string: `\"tamo\"`",
|
||||
"code": "invalid_document_retrieve_vectors",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_document_retrieve_vectors"
|
||||
}
|
||||
"###);
|
||||
let (response, _code) = index.get_document_by_filter(json!({ "retrieveVectors": true })).await;
|
||||
snapshot!(json_string!(response), @r###"
|
||||
{
|
||||
"message": "Passing `retrieveVectors` as a parameter requires enabling the `vector store` experimental feature. See https://github.com/meilisearch/product/discussions/677",
|
||||
"code": "feature_not_enabled",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#feature_not_enabled"
|
||||
}
|
||||
"###);
|
||||
|
||||
// GET A SINGLE DOCUMENT
|
||||
let (response, _code) = index.get_document(0, Some(json!({"retrieveVectors": "tamo"}))).await;
|
||||
snapshot!(json_string!(response), @r###"
|
||||
{
|
||||
"message": "Invalid value in parameter `retrieveVectors`: could not parse `tamo` as a boolean, expected either `true` or `false`",
|
||||
"code": "invalid_document_retrieve_vectors",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_document_retrieve_vectors"
|
||||
}
|
||||
"###);
|
||||
let (response, _code) = index.get_document(0, Some(json!({"retrieveVectors": true}))).await;
|
||||
snapshot!(json_string!(response), @r###"
|
||||
{
|
||||
"message": "Passing `retrieveVectors` as a parameter requires enabling the `vector store` experimental feature. See https://github.com/meilisearch/product/discussions/677",
|
||||
"code": "feature_not_enabled",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#feature_not_enabled"
|
||||
}
|
||||
"###);
|
||||
}
|
||||
|
||||
@ -4,7 +4,7 @@ use meili_snap::*;
|
||||
use urlencoding::encode as urlencode;
|
||||
|
||||
use crate::common::encoder::Encoder;
|
||||
use crate::common::{GetAllDocumentsOptions, Server, Value};
|
||||
use crate::common::{GetAllDocumentsOptions, GetDocumentOptions, Server, Value};
|
||||
use crate::json;
|
||||
|
||||
// TODO: partial test since we are testing error, amd error is not yet fully implemented in
|
||||
@ -59,7 +59,8 @@ async fn get_document() {
|
||||
})
|
||||
);
|
||||
|
||||
let (response, code) = index.get_document(0, Some(json!({ "fields": ["id"] }))).await;
|
||||
let (response, code) =
|
||||
index.get_document(0, Some(GetDocumentOptions { fields: Some(vec!["id"]) })).await;
|
||||
assert_eq!(code, 200);
|
||||
assert_eq!(
|
||||
response,
|
||||
@ -68,8 +69,9 @@ async fn get_document() {
|
||||
})
|
||||
);
|
||||
|
||||
let (response, code) =
|
||||
index.get_document(0, Some(json!({ "fields": ["nested.content"] }))).await;
|
||||
let (response, code) = index
|
||||
.get_document(0, Some(GetDocumentOptions { fields: Some(vec!["nested.content"]) }))
|
||||
.await;
|
||||
assert_eq!(code, 200);
|
||||
assert_eq!(
|
||||
response,
|
||||
@ -209,7 +211,7 @@ async fn test_get_all_documents_attributes_to_retrieve() {
|
||||
|
||||
let (response, code) = index
|
||||
.get_all_documents(GetAllDocumentsOptions {
|
||||
fields: Some(vec!["name"]),
|
||||
attributes_to_retrieve: Some(vec!["name"]),
|
||||
..Default::default()
|
||||
})
|
||||
.await;
|
||||
@ -223,19 +225,9 @@ async fn test_get_all_documents_attributes_to_retrieve() {
|
||||
assert_eq!(response["limit"], json!(20));
|
||||
assert_eq!(response["total"], json!(77));
|
||||
|
||||
let (response, code) = index.get_all_documents_raw("?fields=").await;
|
||||
assert_eq!(code, 200);
|
||||
assert_eq!(response["results"].as_array().unwrap().len(), 20);
|
||||
for results in response["results"].as_array().unwrap() {
|
||||
assert_eq!(results.as_object().unwrap().keys().count(), 0);
|
||||
}
|
||||
assert_eq!(response["offset"], json!(0));
|
||||
assert_eq!(response["limit"], json!(20));
|
||||
assert_eq!(response["total"], json!(77));
|
||||
|
||||
let (response, code) = index
|
||||
.get_all_documents(GetAllDocumentsOptions {
|
||||
fields: Some(vec!["wrong"]),
|
||||
attributes_to_retrieve: Some(vec![]),
|
||||
..Default::default()
|
||||
})
|
||||
.await;
|
||||
@ -250,7 +242,22 @@ async fn test_get_all_documents_attributes_to_retrieve() {
|
||||
|
||||
let (response, code) = index
|
||||
.get_all_documents(GetAllDocumentsOptions {
|
||||
fields: Some(vec!["name", "tags"]),
|
||||
attributes_to_retrieve: Some(vec!["wrong"]),
|
||||
..Default::default()
|
||||
})
|
||||
.await;
|
||||
assert_eq!(code, 200);
|
||||
assert_eq!(response["results"].as_array().unwrap().len(), 20);
|
||||
for results in response["results"].as_array().unwrap() {
|
||||
assert_eq!(results.as_object().unwrap().keys().count(), 0);
|
||||
}
|
||||
assert_eq!(response["offset"], json!(0));
|
||||
assert_eq!(response["limit"], json!(20));
|
||||
assert_eq!(response["total"], json!(77));
|
||||
|
||||
let (response, code) = index
|
||||
.get_all_documents(GetAllDocumentsOptions {
|
||||
attributes_to_retrieve: Some(vec!["name", "tags"]),
|
||||
..Default::default()
|
||||
})
|
||||
.await;
|
||||
@ -263,7 +270,10 @@ async fn test_get_all_documents_attributes_to_retrieve() {
|
||||
}
|
||||
|
||||
let (response, code) = index
|
||||
.get_all_documents(GetAllDocumentsOptions { fields: Some(vec!["*"]), ..Default::default() })
|
||||
.get_all_documents(GetAllDocumentsOptions {
|
||||
attributes_to_retrieve: Some(vec!["*"]),
|
||||
..Default::default()
|
||||
})
|
||||
.await;
|
||||
assert_eq!(code, 200);
|
||||
assert_eq!(response["results"].as_array().unwrap().len(), 20);
|
||||
@ -273,7 +283,7 @@ async fn test_get_all_documents_attributes_to_retrieve() {
|
||||
|
||||
let (response, code) = index
|
||||
.get_all_documents(GetAllDocumentsOptions {
|
||||
fields: Some(vec!["*", "wrong"]),
|
||||
attributes_to_retrieve: Some(vec!["*", "wrong"]),
|
||||
..Default::default()
|
||||
})
|
||||
.await;
|
||||
@ -306,10 +316,12 @@ async fn get_document_s_nested_attributes_to_retrieve() {
|
||||
assert_eq!(code, 202);
|
||||
index.wait_task(1).await;
|
||||
|
||||
let (response, code) = index.get_document(0, Some(json!({ "fields": ["content"] }))).await;
|
||||
let (response, code) =
|
||||
index.get_document(0, Some(GetDocumentOptions { fields: Some(vec!["content"]) })).await;
|
||||
assert_eq!(code, 200);
|
||||
assert_eq!(response, json!({}));
|
||||
let (response, code) = index.get_document(1, Some(json!({ "fields": ["content"] }))).await;
|
||||
let (response, code) =
|
||||
index.get_document(1, Some(GetDocumentOptions { fields: Some(vec!["content"]) })).await;
|
||||
assert_eq!(code, 200);
|
||||
assert_eq!(
|
||||
response,
|
||||
@ -321,7 +333,9 @@ async fn get_document_s_nested_attributes_to_retrieve() {
|
||||
})
|
||||
);
|
||||
|
||||
let (response, code) = index.get_document(0, Some(json!({ "fields": ["content.truc"] }))).await;
|
||||
let (response, code) = index
|
||||
.get_document(0, Some(GetDocumentOptions { fields: Some(vec!["content.truc"]) }))
|
||||
.await;
|
||||
assert_eq!(code, 200);
|
||||
assert_eq!(
|
||||
response,
|
||||
@ -329,7 +343,9 @@ async fn get_document_s_nested_attributes_to_retrieve() {
|
||||
"content.truc": "foobar",
|
||||
})
|
||||
);
|
||||
let (response, code) = index.get_document(1, Some(json!({ "fields": ["content.truc"] }))).await;
|
||||
let (response, code) = index
|
||||
.get_document(1, Some(GetDocumentOptions { fields: Some(vec!["content.truc"]) }))
|
||||
.await;
|
||||
assert_eq!(code, 200);
|
||||
assert_eq!(
|
||||
response,
|
||||
@ -524,217 +540,3 @@ async fn get_document_by_filter() {
|
||||
}
|
||||
"###);
|
||||
}
|
||||
|
||||
#[actix_rt::test]
|
||||
async fn get_document_with_vectors() {
|
||||
let server = Server::new().await;
|
||||
let index = server.index("doggo");
|
||||
let (value, code) = server.set_features(json!({"vectorStore": true})).await;
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(value, @r###"
|
||||
{
|
||||
"vectorStore": true,
|
||||
"metrics": false,
|
||||
"logsRoute": false
|
||||
}
|
||||
"###);
|
||||
|
||||
let (response, code) = index
|
||||
.update_settings(json!({
|
||||
"embedders": {
|
||||
"manual": {
|
||||
"source": "userProvided",
|
||||
"dimensions": 3,
|
||||
}
|
||||
},
|
||||
}))
|
||||
.await;
|
||||
snapshot!(code, @"202 Accepted");
|
||||
server.wait_task(response.uid()).await;
|
||||
|
||||
let documents = json!([
|
||||
{"id": 0, "name": "kefir", "_vectors": { "manual": [0, 0, 0] }},
|
||||
{"id": 1, "name": "echo", "_vectors": { "manual": null }},
|
||||
]);
|
||||
let (value, code) = index.add_documents(documents, None).await;
|
||||
snapshot!(code, @"202 Accepted");
|
||||
index.wait_task(value.uid()).await;
|
||||
|
||||
// by default you shouldn't see the `_vectors` object
|
||||
let (documents, _code) = index.get_all_documents(Default::default()).await;
|
||||
snapshot!(json_string!(documents), @r###"
|
||||
{
|
||||
"results": [
|
||||
{
|
||||
"id": 0,
|
||||
"name": "kefir"
|
||||
},
|
||||
{
|
||||
"id": 1,
|
||||
"name": "echo"
|
||||
}
|
||||
],
|
||||
"offset": 0,
|
||||
"limit": 20,
|
||||
"total": 2
|
||||
}
|
||||
"###);
|
||||
let (documents, _code) = index.get_document(0, None).await;
|
||||
snapshot!(json_string!(documents), @r###"
|
||||
{
|
||||
"id": 0,
|
||||
"name": "kefir"
|
||||
}
|
||||
"###);
|
||||
|
||||
// if we try to retrieve the vectors with the `fields` parameter they
|
||||
// still shouldn't be displayed
|
||||
let (documents, _code) = index
|
||||
.get_all_documents(GetAllDocumentsOptions {
|
||||
fields: Some(vec!["name", "_vectors"]),
|
||||
..Default::default()
|
||||
})
|
||||
.await;
|
||||
snapshot!(json_string!(documents), @r###"
|
||||
{
|
||||
"results": [
|
||||
{
|
||||
"name": "kefir"
|
||||
},
|
||||
{
|
||||
"name": "echo"
|
||||
}
|
||||
],
|
||||
"offset": 0,
|
||||
"limit": 20,
|
||||
"total": 2
|
||||
}
|
||||
"###);
|
||||
let (documents, _code) =
|
||||
index.get_document(0, Some(json!({"fields": ["name", "_vectors"]}))).await;
|
||||
snapshot!(json_string!(documents), @r###"
|
||||
{
|
||||
"name": "kefir"
|
||||
}
|
||||
"###);
|
||||
|
||||
// If we specify the retrieve vectors boolean and nothing else we should get the vectors
|
||||
let (documents, _code) = index
|
||||
.get_all_documents(GetAllDocumentsOptions { retrieve_vectors: true, ..Default::default() })
|
||||
.await;
|
||||
snapshot!(json_string!(documents), @r###"
|
||||
{
|
||||
"results": [
|
||||
{
|
||||
"id": 0,
|
||||
"name": "kefir",
|
||||
"_vectors": {
|
||||
"manual": {
|
||||
"embeddings": [
|
||||
[
|
||||
0.0,
|
||||
0.0,
|
||||
0.0
|
||||
]
|
||||
],
|
||||
"regenerate": false
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": 1,
|
||||
"name": "echo",
|
||||
"_vectors": {
|
||||
"manual": {
|
||||
"embeddings": [],
|
||||
"regenerate": false
|
||||
}
|
||||
}
|
||||
}
|
||||
],
|
||||
"offset": 0,
|
||||
"limit": 20,
|
||||
"total": 2
|
||||
}
|
||||
"###);
|
||||
let (documents, _code) = index.get_document(0, Some(json!({"retrieveVectors": true}))).await;
|
||||
snapshot!(json_string!(documents), @r###"
|
||||
{
|
||||
"id": 0,
|
||||
"name": "kefir",
|
||||
"_vectors": {
|
||||
"manual": {
|
||||
"embeddings": [
|
||||
[
|
||||
0.0,
|
||||
0.0,
|
||||
0.0
|
||||
]
|
||||
],
|
||||
"regenerate": false
|
||||
}
|
||||
}
|
||||
}
|
||||
"###);
|
||||
|
||||
// If we specify the retrieve vectors boolean and exclude vectors form the `fields` we should still get the vectors
|
||||
let (documents, _code) = index
|
||||
.get_all_documents(GetAllDocumentsOptions {
|
||||
retrieve_vectors: true,
|
||||
fields: Some(vec!["name"]),
|
||||
..Default::default()
|
||||
})
|
||||
.await;
|
||||
snapshot!(json_string!(documents), @r###"
|
||||
{
|
||||
"results": [
|
||||
{
|
||||
"name": "kefir",
|
||||
"_vectors": {
|
||||
"manual": {
|
||||
"embeddings": [
|
||||
[
|
||||
0.0,
|
||||
0.0,
|
||||
0.0
|
||||
]
|
||||
],
|
||||
"regenerate": false
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"name": "echo",
|
||||
"_vectors": {
|
||||
"manual": {
|
||||
"embeddings": [],
|
||||
"regenerate": false
|
||||
}
|
||||
}
|
||||
}
|
||||
],
|
||||
"offset": 0,
|
||||
"limit": 20,
|
||||
"total": 2
|
||||
}
|
||||
"###);
|
||||
let (documents, _code) =
|
||||
index.get_document(0, Some(json!({"retrieveVectors": true, "fields": ["name"]}))).await;
|
||||
snapshot!(json_string!(documents), @r###"
|
||||
{
|
||||
"name": "kefir",
|
||||
"_vectors": {
|
||||
"manual": {
|
||||
"embeddings": [
|
||||
[
|
||||
0.0,
|
||||
0.0,
|
||||
0.0
|
||||
]
|
||||
],
|
||||
"regenerate": false
|
||||
}
|
||||
}
|
||||
}
|
||||
"###);
|
||||
}
|
||||
|
||||
@ -77,8 +77,7 @@ async fn import_dump_v1_movie_raw() {
|
||||
},
|
||||
"pagination": {
|
||||
"maxTotalHits": 1000
|
||||
},
|
||||
"searchCutoffMs": null
|
||||
}
|
||||
}
|
||||
"###
|
||||
);
|
||||
@ -239,8 +238,7 @@ async fn import_dump_v1_movie_with_settings() {
|
||||
},
|
||||
"pagination": {
|
||||
"maxTotalHits": 1000
|
||||
},
|
||||
"searchCutoffMs": null
|
||||
}
|
||||
}
|
||||
"###
|
||||
);
|
||||
@ -387,8 +385,7 @@ async fn import_dump_v1_rubygems_with_settings() {
|
||||
},
|
||||
"pagination": {
|
||||
"maxTotalHits": 1000
|
||||
},
|
||||
"searchCutoffMs": null
|
||||
}
|
||||
}
|
||||
"###
|
||||
);
|
||||
@ -521,8 +518,7 @@ async fn import_dump_v2_movie_raw() {
|
||||
},
|
||||
"pagination": {
|
||||
"maxTotalHits": 1000
|
||||
},
|
||||
"searchCutoffMs": null
|
||||
}
|
||||
}
|
||||
"###
|
||||
);
|
||||
@ -667,8 +663,7 @@ async fn import_dump_v2_movie_with_settings() {
|
||||
},
|
||||
"pagination": {
|
||||
"maxTotalHits": 1000
|
||||
},
|
||||
"searchCutoffMs": null
|
||||
}
|
||||
}
|
||||
"###
|
||||
);
|
||||
@ -812,8 +807,7 @@ async fn import_dump_v2_rubygems_with_settings() {
|
||||
},
|
||||
"pagination": {
|
||||
"maxTotalHits": 1000
|
||||
},
|
||||
"searchCutoffMs": null
|
||||
}
|
||||
}
|
||||
"###
|
||||
);
|
||||
@ -946,8 +940,7 @@ async fn import_dump_v3_movie_raw() {
|
||||
},
|
||||
"pagination": {
|
||||
"maxTotalHits": 1000
|
||||
},
|
||||
"searchCutoffMs": null
|
||||
}
|
||||
}
|
||||
"###
|
||||
);
|
||||
@ -1092,8 +1085,7 @@ async fn import_dump_v3_movie_with_settings() {
|
||||
},
|
||||
"pagination": {
|
||||
"maxTotalHits": 1000
|
||||
},
|
||||
"searchCutoffMs": null
|
||||
}
|
||||
}
|
||||
"###
|
||||
);
|
||||
@ -1237,8 +1229,7 @@ async fn import_dump_v3_rubygems_with_settings() {
|
||||
},
|
||||
"pagination": {
|
||||
"maxTotalHits": 1000
|
||||
},
|
||||
"searchCutoffMs": null
|
||||
}
|
||||
}
|
||||
"###
|
||||
);
|
||||
@ -1371,8 +1362,7 @@ async fn import_dump_v4_movie_raw() {
|
||||
},
|
||||
"pagination": {
|
||||
"maxTotalHits": 1000
|
||||
},
|
||||
"searchCutoffMs": null
|
||||
}
|
||||
}
|
||||
"###
|
||||
);
|
||||
@ -1517,8 +1507,7 @@ async fn import_dump_v4_movie_with_settings() {
|
||||
},
|
||||
"pagination": {
|
||||
"maxTotalHits": 1000
|
||||
},
|
||||
"searchCutoffMs": null
|
||||
}
|
||||
}
|
||||
"###
|
||||
);
|
||||
@ -1662,8 +1651,7 @@ async fn import_dump_v4_rubygems_with_settings() {
|
||||
},
|
||||
"pagination": {
|
||||
"maxTotalHits": 1000
|
||||
},
|
||||
"searchCutoffMs": null
|
||||
}
|
||||
}
|
||||
"###
|
||||
);
|
||||
@ -1859,7 +1847,8 @@ async fn import_dump_v6_containing_experimental_features() {
|
||||
{
|
||||
"vectorStore": false,
|
||||
"metrics": false,
|
||||
"logsRoute": false
|
||||
"logsRoute": false,
|
||||
"exportPuffinReports": false
|
||||
}
|
||||
"###);
|
||||
|
||||
@ -1906,8 +1895,7 @@ async fn import_dump_v6_containing_experimental_features() {
|
||||
},
|
||||
"pagination": {
|
||||
"maxTotalHits": 1000
|
||||
},
|
||||
"searchCutoffMs": null
|
||||
}
|
||||
}
|
||||
"###);
|
||||
|
||||
@ -1938,210 +1926,3 @@ async fn import_dump_v6_containing_experimental_features() {
|
||||
})
|
||||
.await;
|
||||
}
|
||||
|
||||
// In this test we must generate the dump ourselves to ensure the
|
||||
// `user provided` vectors are well set
|
||||
#[actix_rt::test]
|
||||
#[cfg_attr(target_os = "windows", ignore)]
|
||||
async fn generate_and_import_dump_containing_vectors() {
|
||||
let temp = tempfile::tempdir().unwrap();
|
||||
let mut opt = default_settings(temp.path());
|
||||
let server = Server::new_with_options(opt.clone()).await.unwrap();
|
||||
let (code, _) = server.set_features(json!({"vectorStore": true})).await;
|
||||
snapshot!(code, @r###"
|
||||
{
|
||||
"vectorStore": true,
|
||||
"metrics": false,
|
||||
"logsRoute": false
|
||||
}
|
||||
"###);
|
||||
let index = server.index("pets");
|
||||
let (response, code) = index
|
||||
.update_settings(json!(
|
||||
{
|
||||
"embedders": {
|
||||
"doggo_embedder": {
|
||||
"source": "huggingFace",
|
||||
"model": "sentence-transformers/all-MiniLM-L6-v2",
|
||||
"revision": "e4ce9877abf3edfe10b0d82785e83bdcb973e22e",
|
||||
"documentTemplate": "{{doc.doggo}}",
|
||||
}
|
||||
}
|
||||
}
|
||||
))
|
||||
.await;
|
||||
snapshot!(code, @"202 Accepted");
|
||||
let response = index.wait_task(response.uid()).await;
|
||||
snapshot!(response);
|
||||
let (response, code) = index
|
||||
.add_documents(
|
||||
json!([
|
||||
{"id": 0, "doggo": "kefir", "_vectors": { "doggo_embedder": vec![0; 384] }},
|
||||
{"id": 1, "doggo": "echo", "_vectors": { "doggo_embedder": { "regenerate": false, "embeddings": vec![1; 384] }}},
|
||||
{"id": 2, "doggo": "intel", "_vectors": { "doggo_embedder": { "regenerate": true, "embeddings": vec![2; 384] }}},
|
||||
{"id": 3, "doggo": "bill", "_vectors": { "doggo_embedder": { "regenerate": true }}},
|
||||
{"id": 4, "doggo": "max" },
|
||||
]),
|
||||
None,
|
||||
)
|
||||
.await;
|
||||
snapshot!(code, @"202 Accepted");
|
||||
let response = index.wait_task(response.uid()).await;
|
||||
snapshot!(response);
|
||||
|
||||
let (response, code) = server.create_dump().await;
|
||||
snapshot!(code, @"202 Accepted");
|
||||
let response = index.wait_task(response.uid()).await;
|
||||
snapshot!(response["status"], @r###""succeeded""###);
|
||||
|
||||
// ========= We made a dump, now we should clear the DB and try to import our dump
|
||||
drop(server);
|
||||
tokio::fs::remove_dir_all(&opt.db_path).await.unwrap();
|
||||
let dump_name = format!("{}.dump", response["details"]["dumpUid"].as_str().unwrap());
|
||||
let dump_path = opt.dump_dir.join(dump_name);
|
||||
assert!(dump_path.exists(), "path: `{}`", dump_path.display());
|
||||
|
||||
opt.import_dump = Some(dump_path);
|
||||
// NOTE: We shouldn't have to change the database path but I lost one hour
|
||||
// because of a « bad path » error and that fixed it.
|
||||
opt.db_path = temp.path().join("data.ms");
|
||||
|
||||
let mut server = Server::new_auth_with_options(opt, temp).await;
|
||||
server.use_api_key("MASTER_KEY");
|
||||
|
||||
let (indexes, code) = server.list_indexes(None, None).await;
|
||||
assert_eq!(code, 200, "{indexes}");
|
||||
|
||||
snapshot!(indexes["results"].as_array().unwrap().len(), @"1");
|
||||
snapshot!(indexes["results"][0]["uid"], @r###""pets""###);
|
||||
snapshot!(indexes["results"][0]["primaryKey"], @r###""id""###);
|
||||
|
||||
let (response, code) = server.get_features().await;
|
||||
meili_snap::snapshot!(code, @"200 OK");
|
||||
meili_snap::snapshot!(meili_snap::json_string!(response), @r###"
|
||||
{
|
||||
"vectorStore": true,
|
||||
"metrics": false,
|
||||
"logsRoute": false
|
||||
}
|
||||
"###);
|
||||
|
||||
let index = server.index("pets");
|
||||
|
||||
let (response, code) = index.settings().await;
|
||||
meili_snap::snapshot!(code, @"200 OK");
|
||||
meili_snap::snapshot!(meili_snap::json_string!(response), @r###"
|
||||
{
|
||||
"displayedAttributes": [
|
||||
"*"
|
||||
],
|
||||
"searchableAttributes": [
|
||||
"*"
|
||||
],
|
||||
"filterableAttributes": [],
|
||||
"sortableAttributes": [],
|
||||
"rankingRules": [
|
||||
"words",
|
||||
"typo",
|
||||
"proximity",
|
||||
"attribute",
|
||||
"sort",
|
||||
"exactness"
|
||||
],
|
||||
"stopWords": [],
|
||||
"nonSeparatorTokens": [],
|
||||
"separatorTokens": [],
|
||||
"dictionary": [],
|
||||
"synonyms": {},
|
||||
"distinctAttribute": null,
|
||||
"proximityPrecision": "byWord",
|
||||
"typoTolerance": {
|
||||
"enabled": true,
|
||||
"minWordSizeForTypos": {
|
||||
"oneTypo": 5,
|
||||
"twoTypos": 9
|
||||
},
|
||||
"disableOnWords": [],
|
||||
"disableOnAttributes": []
|
||||
},
|
||||
"faceting": {
|
||||
"maxValuesPerFacet": 100,
|
||||
"sortFacetValuesBy": {
|
||||
"*": "alpha"
|
||||
}
|
||||
},
|
||||
"pagination": {
|
||||
"maxTotalHits": 1000
|
||||
},
|
||||
"embedders": {
|
||||
"doggo_embedder": {
|
||||
"source": "huggingFace",
|
||||
"model": "sentence-transformers/all-MiniLM-L6-v2",
|
||||
"revision": "e4ce9877abf3edfe10b0d82785e83bdcb973e22e",
|
||||
"documentTemplate": "{{doc.doggo}}"
|
||||
}
|
||||
},
|
||||
"searchCutoffMs": null
|
||||
}
|
||||
"###);
|
||||
|
||||
index
|
||||
.search(json!({"retrieveVectors": true}), |response, code| {
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(json_string!(response["hits"], { "[]._vectors.doggo_embedder.embeddings" => "[vector]" }), @r###"
|
||||
[
|
||||
{
|
||||
"id": 0,
|
||||
"doggo": "kefir",
|
||||
"_vectors": {
|
||||
"doggo_embedder": {
|
||||
"embeddings": "[vector]",
|
||||
"regenerate": false
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": 1,
|
||||
"doggo": "echo",
|
||||
"_vectors": {
|
||||
"doggo_embedder": {
|
||||
"embeddings": "[vector]",
|
||||
"regenerate": false
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": 2,
|
||||
"doggo": "intel",
|
||||
"_vectors": {
|
||||
"doggo_embedder": {
|
||||
"embeddings": "[vector]",
|
||||
"regenerate": true
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": 3,
|
||||
"doggo": "bill",
|
||||
"_vectors": {
|
||||
"doggo_embedder": {
|
||||
"embeddings": "[vector]",
|
||||
"regenerate": true
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": 4,
|
||||
"doggo": "max",
|
||||
"_vectors": {
|
||||
"doggo_embedder": {
|
||||
"embeddings": "[vector]",
|
||||
"regenerate": true
|
||||
}
|
||||
}
|
||||
}
|
||||
]
|
||||
"###);
|
||||
})
|
||||
.await;
|
||||
}
|
||||
|
||||
@ -1,25 +0,0 @@
|
||||
---
|
||||
source: meilisearch/tests/dumps/mod.rs
|
||||
---
|
||||
{
|
||||
"uid": 0,
|
||||
"indexUid": "pets",
|
||||
"status": "succeeded",
|
||||
"type": "settingsUpdate",
|
||||
"canceledBy": null,
|
||||
"details": {
|
||||
"embedders": {
|
||||
"doggo_embedder": {
|
||||
"source": "huggingFace",
|
||||
"model": "sentence-transformers/all-MiniLM-L6-v2",
|
||||
"revision": "e4ce9877abf3edfe10b0d82785e83bdcb973e22e",
|
||||
"documentTemplate": "{{doc.doggo}}"
|
||||
}
|
||||
}
|
||||
},
|
||||
"error": null,
|
||||
"duration": "[duration]",
|
||||
"enqueuedAt": "[date]",
|
||||
"startedAt": "[date]",
|
||||
"finishedAt": "[date]"
|
||||
}
|
||||
@ -1,19 +0,0 @@
|
||||
---
|
||||
source: meilisearch/tests/dumps/mod.rs
|
||||
---
|
||||
{
|
||||
"uid": 1,
|
||||
"indexUid": "pets",
|
||||
"status": "succeeded",
|
||||
"type": "documentAdditionOrUpdate",
|
||||
"canceledBy": null,
|
||||
"details": {
|
||||
"receivedDocuments": 5,
|
||||
"indexedDocuments": 5
|
||||
},
|
||||
"error": null,
|
||||
"duration": "[duration]",
|
||||
"enqueuedAt": "[date]",
|
||||
"startedAt": "[date]",
|
||||
"finishedAt": "[date]"
|
||||
}
|
||||
@ -20,7 +20,8 @@ async fn experimental_features() {
|
||||
{
|
||||
"vectorStore": false,
|
||||
"metrics": false,
|
||||
"logsRoute": false
|
||||
"logsRoute": false,
|
||||
"exportPuffinReports": false
|
||||
}
|
||||
"###);
|
||||
|
||||
@ -31,7 +32,8 @@ async fn experimental_features() {
|
||||
{
|
||||
"vectorStore": true,
|
||||
"metrics": false,
|
||||
"logsRoute": false
|
||||
"logsRoute": false,
|
||||
"exportPuffinReports": false
|
||||
}
|
||||
"###);
|
||||
|
||||
@ -42,7 +44,8 @@ async fn experimental_features() {
|
||||
{
|
||||
"vectorStore": true,
|
||||
"metrics": false,
|
||||
"logsRoute": false
|
||||
"logsRoute": false,
|
||||
"exportPuffinReports": false
|
||||
}
|
||||
"###);
|
||||
|
||||
@ -54,7 +57,8 @@ async fn experimental_features() {
|
||||
{
|
||||
"vectorStore": true,
|
||||
"metrics": false,
|
||||
"logsRoute": false
|
||||
"logsRoute": false,
|
||||
"exportPuffinReports": false
|
||||
}
|
||||
"###);
|
||||
|
||||
@ -66,7 +70,8 @@ async fn experimental_features() {
|
||||
{
|
||||
"vectorStore": true,
|
||||
"metrics": false,
|
||||
"logsRoute": false
|
||||
"logsRoute": false,
|
||||
"exportPuffinReports": false
|
||||
}
|
||||
"###);
|
||||
}
|
||||
@ -85,7 +90,8 @@ async fn experimental_feature_metrics() {
|
||||
{
|
||||
"vectorStore": false,
|
||||
"metrics": true,
|
||||
"logsRoute": false
|
||||
"logsRoute": false,
|
||||
"exportPuffinReports": false
|
||||
}
|
||||
"###);
|
||||
|
||||
@ -140,7 +146,7 @@ async fn errors() {
|
||||
meili_snap::snapshot!(code, @"400 Bad Request");
|
||||
meili_snap::snapshot!(meili_snap::json_string!(response), @r###"
|
||||
{
|
||||
"message": "Unknown field `NotAFeature`: expected one of `vectorStore`, `metrics`, `logsRoute`",
|
||||
"message": "Unknown field `NotAFeature`: expected one of `vectorStore`, `metrics`, `logsRoute`, `exportPuffinReports`",
|
||||
"code": "bad_request",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#bad_request"
|
||||
|
||||
@ -8,12 +8,10 @@ mod index;
|
||||
mod logs;
|
||||
mod search;
|
||||
mod settings;
|
||||
mod similar;
|
||||
mod snapshot;
|
||||
mod stats;
|
||||
mod swap_indexes;
|
||||
mod tasks;
|
||||
mod vector;
|
||||
|
||||
// Tests are isolated by features in different modules to allow better readability, test
|
||||
// targetability, and improved incremental compilation times.
|
||||
|
||||
@ -107,39 +107,6 @@ static DOCUMENTS: Lazy<Value> = Lazy::new(|| {
|
||||
])
|
||||
});
|
||||
|
||||
static NESTED_DOCUMENTS: Lazy<Value> = Lazy::new(|| {
|
||||
json!([
|
||||
{
|
||||
"id": 1,
|
||||
"description": "Leather Jacket",
|
||||
"brand": "Lee Jeans",
|
||||
"product_id": "123456",
|
||||
"color": { "main": "Brown", "pattern": "stripped" },
|
||||
},
|
||||
{
|
||||
"id": 2,
|
||||
"description": "Leather Jacket",
|
||||
"brand": "Lee Jeans",
|
||||
"product_id": "123456",
|
||||
"color": { "main": "Black", "pattern": "stripped" },
|
||||
},
|
||||
{
|
||||
"id": 3,
|
||||
"description": "Leather Jacket",
|
||||
"brand": "Lee Jeans",
|
||||
"product_id": "123456",
|
||||
"color": { "main": "Blue", "pattern": "used" },
|
||||
},
|
||||
{
|
||||
"id": 4,
|
||||
"description": "T-Shirt",
|
||||
"brand": "Nike",
|
||||
"product_id": "789012",
|
||||
"color": { "main": "Blue", "pattern": "stripped" },
|
||||
}
|
||||
])
|
||||
});
|
||||
|
||||
static DOCUMENT_PRIMARY_KEY: &str = "id";
|
||||
static DOCUMENT_DISTINCT_KEY: &str = "product_id";
|
||||
|
||||
@ -272,35 +239,3 @@ async fn distinct_search_with_pagination_no_ranking() {
|
||||
snapshot!(response["totalPages"], @"2");
|
||||
snapshot!(response["totalHits"], @"6");
|
||||
}
|
||||
|
||||
#[actix_rt::test]
|
||||
async fn distinct_at_search_time() {
|
||||
let server = Server::new().await;
|
||||
let index = server.index("tamo");
|
||||
|
||||
let documents = NESTED_DOCUMENTS.clone();
|
||||
index.add_documents(documents, Some(DOCUMENT_PRIMARY_KEY)).await;
|
||||
let (task, _) = index.update_settings_filterable_attributes(json!(["color.main"])).await;
|
||||
let task = index.wait_task(task.uid()).await;
|
||||
snapshot!(task, name: "succeed");
|
||||
|
||||
fn get_hits(response: &Value) -> Vec<String> {
|
||||
let hits_array = response["hits"]
|
||||
.as_array()
|
||||
.unwrap_or_else(|| panic!("{}", &serde_json::to_string_pretty(&response).unwrap()));
|
||||
hits_array
|
||||
.iter()
|
||||
.map(|h| h[DOCUMENT_PRIMARY_KEY].as_number().unwrap().to_string())
|
||||
.collect::<Vec<_>>()
|
||||
}
|
||||
|
||||
let (response, code) =
|
||||
index.search_post(json!({"page": 1, "hitsPerPage": 3, "distinct": "color.main"})).await;
|
||||
let hits = get_hits(&response);
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(hits.len(), @"3");
|
||||
snapshot!(format!("{:?}", hits), @r###"["1", "2", "3"]"###);
|
||||
snapshot!(response["page"], @"1");
|
||||
snapshot!(response["totalPages"], @"1");
|
||||
snapshot!(response["totalHits"], @"3");
|
||||
}
|
||||
|
||||
@ -167,74 +167,6 @@ async fn search_bad_hits_per_page() {
|
||||
"###);
|
||||
}
|
||||
|
||||
#[actix_rt::test]
|
||||
async fn search_bad_attributes_to_retrieve() {
|
||||
let server = Server::new().await;
|
||||
let index = server.index("test");
|
||||
|
||||
let (response, code) = index.search_post(json!({"attributesToRetrieve": "doggo"})).await;
|
||||
snapshot!(code, @"400 Bad Request");
|
||||
snapshot!(json_string!(response), @r###"
|
||||
{
|
||||
"message": "Invalid value type at `.attributesToRetrieve`: expected an array, but found a string: `\"doggo\"`",
|
||||
"code": "invalid_search_attributes_to_retrieve",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_search_attributes_to_retrieve"
|
||||
}
|
||||
"###);
|
||||
// Can't make the `attributes_to_retrieve` fail with a get search since it'll accept anything as an array of strings.
|
||||
}
|
||||
|
||||
#[actix_rt::test]
|
||||
async fn search_bad_retrieve_vectors() {
|
||||
let server = Server::new().await;
|
||||
let index = server.index("test");
|
||||
|
||||
let (response, code) = index.search_post(json!({"retrieveVectors": "doggo"})).await;
|
||||
snapshot!(code, @"400 Bad Request");
|
||||
snapshot!(json_string!(response), @r###"
|
||||
{
|
||||
"message": "Invalid value type at `.retrieveVectors`: expected a boolean, but found a string: `\"doggo\"`",
|
||||
"code": "invalid_search_retrieve_vectors",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_search_retrieve_vectors"
|
||||
}
|
||||
"###);
|
||||
|
||||
let (response, code) = index.search_post(json!({"retrieveVectors": [true]})).await;
|
||||
snapshot!(code, @"400 Bad Request");
|
||||
snapshot!(json_string!(response), @r###"
|
||||
{
|
||||
"message": "Invalid value type at `.retrieveVectors`: expected a boolean, but found an array: `[true]`",
|
||||
"code": "invalid_search_retrieve_vectors",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_search_retrieve_vectors"
|
||||
}
|
||||
"###);
|
||||
|
||||
let (response, code) = index.search_get("retrieveVectors=").await;
|
||||
snapshot!(code, @"400 Bad Request");
|
||||
snapshot!(json_string!(response), @r###"
|
||||
{
|
||||
"message": "Invalid value in parameter `retrieveVectors`: could not parse `` as a boolean, expected either `true` or `false`",
|
||||
"code": "invalid_search_retrieve_vectors",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_search_retrieve_vectors"
|
||||
}
|
||||
"###);
|
||||
|
||||
let (response, code) = index.search_get("retrieveVectors=doggo").await;
|
||||
snapshot!(code, @"400 Bad Request");
|
||||
snapshot!(json_string!(response), @r###"
|
||||
{
|
||||
"message": "Invalid value in parameter `retrieveVectors`: could not parse `doggo` as a boolean, expected either `true` or `false`",
|
||||
"code": "invalid_search_retrieve_vectors",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_search_retrieve_vectors"
|
||||
}
|
||||
"###);
|
||||
}
|
||||
|
||||
#[actix_rt::test]
|
||||
async fn search_bad_attributes_to_crop() {
|
||||
let server = Server::new().await;
|
||||
@ -389,40 +321,6 @@ async fn search_bad_facets() {
|
||||
// Can't make the `attributes_to_highlight` fail with a get search since it'll accept anything as an array of strings.
|
||||
}
|
||||
|
||||
#[actix_rt::test]
|
||||
async fn search_bad_threshold() {
|
||||
let server = Server::new().await;
|
||||
let index = server.index("test");
|
||||
|
||||
let (response, code) = index.search_post(json!({"rankingScoreThreshold": "doggo"})).await;
|
||||
snapshot!(code, @"400 Bad Request");
|
||||
snapshot!(json_string!(response), @r###"
|
||||
{
|
||||
"message": "Invalid value type at `.rankingScoreThreshold`: expected a number, but found a string: `\"doggo\"`",
|
||||
"code": "invalid_search_ranking_score_threshold",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_search_ranking_score_threshold"
|
||||
}
|
||||
"###);
|
||||
}
|
||||
|
||||
#[actix_rt::test]
|
||||
async fn search_invalid_threshold() {
|
||||
let server = Server::new().await;
|
||||
let index = server.index("test");
|
||||
|
||||
let (response, code) = index.search_post(json!({"rankingScoreThreshold": 42})).await;
|
||||
snapshot!(code, @"400 Bad Request");
|
||||
snapshot!(json_string!(response), @r###"
|
||||
{
|
||||
"message": "Invalid value at `.rankingScoreThreshold`: the value of `rankingScoreThreshold` is invalid, expected a float between `0.0` and `1.0`.",
|
||||
"code": "invalid_search_ranking_score_threshold",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_search_ranking_score_threshold"
|
||||
}
|
||||
"###);
|
||||
}
|
||||
|
||||
#[actix_rt::test]
|
||||
async fn search_non_filterable_facets() {
|
||||
let server = Server::new().await;
|
||||
@ -607,7 +505,7 @@ async fn search_bad_matching_strategy() {
|
||||
snapshot!(code, @"400 Bad Request");
|
||||
snapshot!(json_string!(response), @r###"
|
||||
{
|
||||
"message": "Unknown value `doggo` at `.matchingStrategy`: expected one of `last`, `all`, `frequency`",
|
||||
"message": "Unknown value `doggo` at `.matchingStrategy`: expected one of `last`, `all`",
|
||||
"code": "invalid_search_matching_strategy",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_search_matching_strategy"
|
||||
@ -629,7 +527,7 @@ async fn search_bad_matching_strategy() {
|
||||
snapshot!(code, @"400 Bad Request");
|
||||
snapshot!(json_string!(response), @r###"
|
||||
{
|
||||
"message": "Unknown value `doggo` for parameter `matchingStrategy`: expected one of `last`, `all`, `frequency`",
|
||||
"message": "Unknown value `doggo` for parameter `matchingStrategy`: expected one of `last`, `all`",
|
||||
"code": "invalid_search_matching_strategy",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_search_matching_strategy"
|
||||
@ -1140,66 +1038,3 @@ async fn search_on_unknown_field_plus_joker() {
|
||||
)
|
||||
.await;
|
||||
}
|
||||
|
||||
#[actix_rt::test]
|
||||
async fn distinct_at_search_time() {
|
||||
let server = Server::new().await;
|
||||
let index = server.index("tamo");
|
||||
let (task, _) = index.create(None).await;
|
||||
let task = index.wait_task(task.uid()).await;
|
||||
snapshot!(task, name: "task-succeed");
|
||||
|
||||
let (response, code) =
|
||||
index.search_post(json!({"page": 0, "hitsPerPage": 2, "distinct": "doggo.truc"})).await;
|
||||
snapshot!(code, @"400 Bad Request");
|
||||
snapshot!(response, @r###"
|
||||
{
|
||||
"message": "Attribute `doggo.truc` is not filterable and thus, cannot be used as distinct attribute. This index does not have configured filterable attributes.",
|
||||
"code": "invalid_search_distinct",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_search_distinct"
|
||||
}
|
||||
"###);
|
||||
|
||||
let (task, _) = index.update_settings_filterable_attributes(json!(["color", "machin"])).await;
|
||||
index.wait_task(task.uid()).await;
|
||||
|
||||
let (response, code) =
|
||||
index.search_post(json!({"page": 0, "hitsPerPage": 2, "distinct": "doggo.truc"})).await;
|
||||
snapshot!(code, @"400 Bad Request");
|
||||
snapshot!(response, @r###"
|
||||
{
|
||||
"message": "Attribute `doggo.truc` is not filterable and thus, cannot be used as distinct attribute. Available filterable attributes are: `color, machin`.",
|
||||
"code": "invalid_search_distinct",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_search_distinct"
|
||||
}
|
||||
"###);
|
||||
|
||||
let (task, _) = index.update_settings_displayed_attributes(json!(["color"])).await;
|
||||
index.wait_task(task.uid()).await;
|
||||
|
||||
let (response, code) =
|
||||
index.search_post(json!({"page": 0, "hitsPerPage": 2, "distinct": "doggo.truc"})).await;
|
||||
snapshot!(code, @"400 Bad Request");
|
||||
snapshot!(response, @r###"
|
||||
{
|
||||
"message": "Attribute `doggo.truc` is not filterable and thus, cannot be used as distinct attribute. Available filterable attributes are: `color, <..hidden-attributes>`.",
|
||||
"code": "invalid_search_distinct",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_search_distinct"
|
||||
}
|
||||
"###);
|
||||
|
||||
let (response, code) =
|
||||
index.search_post(json!({"page": 0, "hitsPerPage": 2, "distinct": true})).await;
|
||||
snapshot!(code, @"400 Bad Request");
|
||||
snapshot!(response, @r###"
|
||||
{
|
||||
"message": "Invalid value type at `.distinct`: expected a string, but found a boolean: `true`",
|
||||
"code": "invalid_search_distinct",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_search_distinct"
|
||||
}
|
||||
"###);
|
||||
}
|
||||
|
||||
@ -123,28 +123,6 @@ async fn simple_facet_search_with_max_values() {
|
||||
assert_eq!(dbg!(response)["facetHits"].as_array().unwrap().len(), 1);
|
||||
}
|
||||
|
||||
#[actix_rt::test]
|
||||
async fn simple_facet_search_by_count_with_max_values() {
|
||||
let server = Server::new().await;
|
||||
let index = server.index("test");
|
||||
|
||||
let documents = DOCUMENTS.clone();
|
||||
index
|
||||
.update_settings_faceting(
|
||||
json!({ "maxValuesPerFacet": 1, "sortFacetValuesBy": { "*": "count" } }),
|
||||
)
|
||||
.await;
|
||||
index.update_settings_filterable_attributes(json!(["genres"])).await;
|
||||
index.add_documents(documents, None).await;
|
||||
index.wait_task(2).await;
|
||||
|
||||
let (response, code) =
|
||||
index.facet_search(json!({"facetName": "genres", "facetQuery": "a"})).await;
|
||||
|
||||
assert_eq!(code, 200, "{}", response);
|
||||
assert_eq!(dbg!(response)["facetHits"].as_array().unwrap().len(), 1);
|
||||
}
|
||||
|
||||
#[actix_rt::test]
|
||||
async fn non_filterable_facet_search_error() {
|
||||
let server = Server::new().await;
|
||||
@ -179,24 +157,3 @@ async fn facet_search_dont_support_words() {
|
||||
assert_eq!(code, 200, "{}", response);
|
||||
assert_eq!(response["facetHits"].as_array().unwrap().len(), 0);
|
||||
}
|
||||
|
||||
#[actix_rt::test]
|
||||
async fn simple_facet_search_with_sort_by_count() {
|
||||
let server = Server::new().await;
|
||||
let index = server.index("test");
|
||||
|
||||
let documents = DOCUMENTS.clone();
|
||||
index.update_settings_faceting(json!({ "sortFacetValuesBy": { "*": "count" } })).await;
|
||||
index.update_settings_filterable_attributes(json!(["genres"])).await;
|
||||
index.add_documents(documents, None).await;
|
||||
index.wait_task(2).await;
|
||||
|
||||
let (response, code) =
|
||||
index.facet_search(json!({"facetName": "genres", "facetQuery": "a"})).await;
|
||||
|
||||
assert_eq!(code, 200, "{}", response);
|
||||
let hits = response["facetHits"].as_array().unwrap();
|
||||
assert_eq!(hits.len(), 2);
|
||||
assert_eq!(hits[0], json!({ "value": "Action", "count": 3 }));
|
||||
assert_eq!(hits[1], json!({ "value": "Adventure", "count": 2 }));
|
||||
}
|
||||
|
||||
@ -117,69 +117,3 @@ async fn geo_bounding_box_with_string_and_number() {
|
||||
)
|
||||
.await;
|
||||
}
|
||||
|
||||
#[actix_rt::test]
|
||||
async fn bug_4640() {
|
||||
// https://github.com/meilisearch/meilisearch/issues/4640
|
||||
let server = Server::new().await;
|
||||
let index = server.index("test");
|
||||
|
||||
let documents = DOCUMENTS.clone();
|
||||
index.add_documents(documents, None).await;
|
||||
index.update_settings_filterable_attributes(json!(["_geo"])).await;
|
||||
let (ret, _code) = index.update_settings_sortable_attributes(json!(["_geo"])).await;
|
||||
index.wait_task(ret.uid()).await;
|
||||
|
||||
// Sort the document with the second one first
|
||||
index
|
||||
.search(
|
||||
json!({
|
||||
"sort": ["_geoPoint(45.4777599, 9.1967508):asc"],
|
||||
}),
|
||||
|response, code| {
|
||||
assert_eq!(code, 200, "{}", response);
|
||||
snapshot!(json_string!(response, { ".processingTimeMs" => "[time]" }), @r###"
|
||||
{
|
||||
"hits": [
|
||||
{
|
||||
"id": 2,
|
||||
"name": "La Bella Italia",
|
||||
"address": "456 Elm Street, Townsville",
|
||||
"type": "Italian",
|
||||
"rating": 9,
|
||||
"_geo": {
|
||||
"lat": "45.4777599",
|
||||
"lng": "9.1967508"
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": 1,
|
||||
"name": "Taco Truck",
|
||||
"address": "444 Salsa Street, Burritoville",
|
||||
"type": "Mexican",
|
||||
"rating": 9,
|
||||
"_geo": {
|
||||
"lat": 34.0522,
|
||||
"lng": -118.2437
|
||||
},
|
||||
"_geoDistance": 9714063
|
||||
},
|
||||
{
|
||||
"id": 3,
|
||||
"name": "CrĂŞpe Truck",
|
||||
"address": "2 Billig Avenue, Rouenville",
|
||||
"type": "French",
|
||||
"rating": 10
|
||||
}
|
||||
],
|
||||
"query": "",
|
||||
"processingTimeMs": "[time]",
|
||||
"limit": 20,
|
||||
"offset": 0,
|
||||
"estimatedTotalHits": 3
|
||||
}
|
||||
"###);
|
||||
},
|
||||
)
|
||||
.await;
|
||||
}
|
||||
|
||||
@ -5,10 +5,7 @@ use crate::common::index::Index;
|
||||
use crate::common::{Server, Value};
|
||||
use crate::json;
|
||||
|
||||
async fn index_with_documents_user_provided<'a>(
|
||||
server: &'a Server,
|
||||
documents: &Value,
|
||||
) -> Index<'a> {
|
||||
async fn index_with_documents<'a>(server: &'a Server, documents: &Value) -> Index<'a> {
|
||||
let index = server.index("test");
|
||||
|
||||
let (response, code) = server.set_features(json!({"vectorStore": true})).await;
|
||||
@ -18,7 +15,8 @@ async fn index_with_documents_user_provided<'a>(
|
||||
{
|
||||
"vectorStore": true,
|
||||
"metrics": false,
|
||||
"logsRoute": false
|
||||
"logsRoute": false,
|
||||
"exportPuffinReports": false
|
||||
}
|
||||
"###);
|
||||
|
||||
@ -36,38 +34,7 @@ async fn index_with_documents_user_provided<'a>(
|
||||
index
|
||||
}
|
||||
|
||||
async fn index_with_documents_hf<'a>(server: &'a Server, documents: &Value) -> Index<'a> {
|
||||
let index = server.index("test");
|
||||
|
||||
let (response, code) = server.set_features(json!({"vectorStore": true})).await;
|
||||
|
||||
meili_snap::snapshot!(code, @"200 OK");
|
||||
meili_snap::snapshot!(meili_snap::json_string!(response), @r###"
|
||||
{
|
||||
"vectorStore": true,
|
||||
"metrics": false,
|
||||
"logsRoute": false
|
||||
}
|
||||
"###);
|
||||
|
||||
let (response, code) = index
|
||||
.update_settings(json!({ "embedders": {"default": {
|
||||
"source": "huggingFace",
|
||||
"model": "sentence-transformers/all-MiniLM-L6-v2",
|
||||
"revision": "e4ce9877abf3edfe10b0d82785e83bdcb973e22e",
|
||||
"documentTemplate": "{{doc.title}}, {{doc.desc}}"
|
||||
}}} ))
|
||||
.await;
|
||||
assert_eq!(202, code, "{:?}", response);
|
||||
index.wait_task(response.uid()).await;
|
||||
|
||||
let (response, code) = index.add_documents(documents.clone(), None).await;
|
||||
assert_eq!(202, code, "{:?}", response);
|
||||
index.wait_task(response.uid()).await;
|
||||
index
|
||||
}
|
||||
|
||||
static SIMPLE_SEARCH_DOCUMENTS_VEC: Lazy<Value> = Lazy::new(|| {
|
||||
static SIMPLE_SEARCH_DOCUMENTS: Lazy<Value> = Lazy::new(|| {
|
||||
json!([
|
||||
{
|
||||
"title": "Shazam!",
|
||||
@ -89,7 +56,7 @@ static SIMPLE_SEARCH_DOCUMENTS_VEC: Lazy<Value> = Lazy::new(|| {
|
||||
}])
|
||||
});
|
||||
|
||||
static SINGLE_DOCUMENT_VEC: Lazy<Value> = Lazy::new(|| {
|
||||
static SINGLE_DOCUMENT: Lazy<Value> = Lazy::new(|| {
|
||||
json!([{
|
||||
"title": "Shazam!",
|
||||
"desc": "a Captain Marvel ersatz",
|
||||
@ -98,194 +65,36 @@ static SINGLE_DOCUMENT_VEC: Lazy<Value> = Lazy::new(|| {
|
||||
}])
|
||||
});
|
||||
|
||||
static SIMPLE_SEARCH_DOCUMENTS: Lazy<Value> = Lazy::new(|| {
|
||||
json!([
|
||||
{
|
||||
"title": "Shazam!",
|
||||
"desc": "a Captain Marvel ersatz",
|
||||
"id": "1",
|
||||
},
|
||||
{
|
||||
"title": "Captain Planet",
|
||||
"desc": "He's not part of the Marvel Cinematic Universe",
|
||||
"id": "2",
|
||||
},
|
||||
{
|
||||
"title": "Captain Marvel",
|
||||
"desc": "a Shazam ersatz",
|
||||
"id": "3",
|
||||
}])
|
||||
});
|
||||
|
||||
#[actix_rt::test]
|
||||
async fn simple_search() {
|
||||
let server = Server::new().await;
|
||||
let index = index_with_documents_user_provided(&server, &SIMPLE_SEARCH_DOCUMENTS_VEC).await;
|
||||
let index = index_with_documents(&server, &SIMPLE_SEARCH_DOCUMENTS).await;
|
||||
|
||||
let (response, code) = index
|
||||
.search_post(
|
||||
json!({"q": "Captain", "vector": [1.0, 1.0], "hybrid": {"semanticRatio": 0.2}, "retrieveVectors": true}),
|
||||
json!({"q": "Captain", "vector": [1.0, 1.0], "hybrid": {"semanticRatio": 0.2}}),
|
||||
)
|
||||
.await;
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(response["hits"], @r###"[{"title":"Captain Planet","desc":"He's not part of the Marvel Cinematic Universe","id":"2","_vectors":{"default":{"embeddings":[[1.0,2.0]],"regenerate":false}}},{"title":"Captain Marvel","desc":"a Shazam ersatz","id":"3","_vectors":{"default":{"embeddings":[[2.0,3.0]],"regenerate":false}}},{"title":"Shazam!","desc":"a Captain Marvel ersatz","id":"1","_vectors":{"default":{"embeddings":[[1.0,3.0]],"regenerate":false}}}]"###);
|
||||
snapshot!(response["semanticHitCount"], @"0");
|
||||
snapshot!(response["hits"], @r###"[{"title":"Captain Planet","desc":"He's not part of the Marvel Cinematic Universe","id":"2","_vectors":{"default":[1.0,2.0]}},{"title":"Captain Marvel","desc":"a Shazam ersatz","id":"3","_vectors":{"default":[2.0,3.0]}},{"title":"Shazam!","desc":"a Captain Marvel ersatz","id":"1","_vectors":{"default":[1.0,3.0]}}]"###);
|
||||
|
||||
let (response, code) = index
|
||||
.search_post(
|
||||
json!({"q": "Captain", "vector": [1.0, 1.0], "hybrid": {"semanticRatio": 0.5}, "showRankingScore": true, "retrieveVectors": true}),
|
||||
json!({"q": "Captain", "vector": [1.0, 1.0], "hybrid": {"semanticRatio": 0.8}}),
|
||||
)
|
||||
.await;
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(response["hits"], @r###"[{"title":"Captain Marvel","desc":"a Shazam ersatz","id":"3","_vectors":{"default":{"embeddings":[[2.0,3.0]],"regenerate":false}},"_rankingScore":0.990290343761444},{"title":"Captain Planet","desc":"He's not part of the Marvel Cinematic Universe","id":"2","_vectors":{"default":{"embeddings":[[1.0,2.0]],"regenerate":false}},"_rankingScore":0.9848484848484848},{"title":"Shazam!","desc":"a Captain Marvel ersatz","id":"1","_vectors":{"default":{"embeddings":[[1.0,3.0]],"regenerate":false}},"_rankingScore":0.9472135901451112}]"###);
|
||||
snapshot!(response["semanticHitCount"], @"2");
|
||||
|
||||
let (response, code) = index
|
||||
.search_post(
|
||||
json!({"q": "Captain", "vector": [1.0, 1.0], "hybrid": {"semanticRatio": 0.8}, "showRankingScore": true, "retrieveVectors": true}),
|
||||
)
|
||||
.await;
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(response["hits"], @r###"[{"title":"Captain Marvel","desc":"a Shazam ersatz","id":"3","_vectors":{"default":{"embeddings":[[2.0,3.0]],"regenerate":false}},"_rankingScore":0.990290343761444},{"title":"Captain Planet","desc":"He's not part of the Marvel Cinematic Universe","id":"2","_vectors":{"default":{"embeddings":[[1.0,2.0]],"regenerate":false}},"_rankingScore":0.974341630935669},{"title":"Shazam!","desc":"a Captain Marvel ersatz","id":"1","_vectors":{"default":{"embeddings":[[1.0,3.0]],"regenerate":false}},"_rankingScore":0.9472135901451112}]"###);
|
||||
snapshot!(response["semanticHitCount"], @"3");
|
||||
}
|
||||
|
||||
#[actix_rt::test]
|
||||
async fn limit_offset() {
|
||||
let server = Server::new().await;
|
||||
let index = index_with_documents_user_provided(&server, &SIMPLE_SEARCH_DOCUMENTS_VEC).await;
|
||||
|
||||
let (response, code) = index
|
||||
.search_post(
|
||||
json!({"q": "Captain", "vector": [1.0, 1.0], "hybrid": {"semanticRatio": 0.2}, "retrieveVectors": true, "offset": 1, "limit": 1}),
|
||||
)
|
||||
.await;
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(response["hits"], @r###"[{"title":"Captain Marvel","desc":"a Shazam ersatz","id":"3","_vectors":{"default":{"embeddings":[[2.0,3.0]],"regenerate":false}}}]"###);
|
||||
snapshot!(response["semanticHitCount"], @"0");
|
||||
assert_eq!(response["hits"].as_array().unwrap().len(), 1);
|
||||
|
||||
let server = Server::new().await;
|
||||
let index = index_with_documents_user_provided(&server, &SIMPLE_SEARCH_DOCUMENTS_VEC).await;
|
||||
|
||||
let (response, code) = index
|
||||
.search_post(
|
||||
json!({"q": "Captain", "vector": [1.0, 1.0], "hybrid": {"semanticRatio": 0.9}, "retrieveVectors": true, "offset": 1, "limit": 1}),
|
||||
)
|
||||
.await;
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(response["hits"], @r###"[{"title":"Captain Planet","desc":"He's not part of the Marvel Cinematic Universe","id":"2","_vectors":{"default":{"embeddings":[[1.0,2.0]],"regenerate":false}}}]"###);
|
||||
snapshot!(response["semanticHitCount"], @"1");
|
||||
assert_eq!(response["hits"].as_array().unwrap().len(), 1);
|
||||
}
|
||||
|
||||
#[actix_rt::test]
|
||||
async fn simple_search_hf() {
|
||||
let server = Server::new().await;
|
||||
let index = index_with_documents_hf(&server, &SIMPLE_SEARCH_DOCUMENTS).await;
|
||||
|
||||
let (response, code) =
|
||||
index.search_post(json!({"q": "Captain", "hybrid": {"semanticRatio": 0.2}})).await;
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(response["hits"], @r###"[{"title":"Captain Planet","desc":"He's not part of the Marvel Cinematic Universe","id":"2"},{"title":"Captain Marvel","desc":"a Shazam ersatz","id":"3"},{"title":"Shazam!","desc":"a Captain Marvel ersatz","id":"1"}]"###);
|
||||
snapshot!(response["semanticHitCount"], @"0");
|
||||
|
||||
let (response, code) = index
|
||||
.search_post(
|
||||
// disable ranking score as the vectors between architectures are not equal
|
||||
json!({"q": "Captain", "hybrid": {"semanticRatio": 0.55}, "showRankingScore": false}),
|
||||
)
|
||||
.await;
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(response["hits"], @r###"[{"title":"Captain Planet","desc":"He's not part of the Marvel Cinematic Universe","id":"2"},{"title":"Captain Marvel","desc":"a Shazam ersatz","id":"3"},{"title":"Shazam!","desc":"a Captain Marvel ersatz","id":"1"}]"###);
|
||||
snapshot!(response["semanticHitCount"], @"1");
|
||||
|
||||
let (response, code) = index
|
||||
.search_post(
|
||||
json!({"q": "Captain", "hybrid": {"semanticRatio": 0.8}, "showRankingScore": false}),
|
||||
)
|
||||
.await;
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(response["hits"], @r###"[{"title":"Shazam!","desc":"a Captain Marvel ersatz","id":"1"},{"title":"Captain Marvel","desc":"a Shazam ersatz","id":"3"},{"title":"Captain Planet","desc":"He's not part of the Marvel Cinematic Universe","id":"2"}]"###);
|
||||
snapshot!(response["semanticHitCount"], @"3");
|
||||
|
||||
let (response, code) = index
|
||||
.search_post(
|
||||
json!({"q": "Movie World", "hybrid": {"semanticRatio": 0.2}, "showRankingScore": false}),
|
||||
)
|
||||
.await;
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(response["hits"], @r###"[{"title":"Captain Planet","desc":"He's not part of the Marvel Cinematic Universe","id":"2"},{"title":"Shazam!","desc":"a Captain Marvel ersatz","id":"1"},{"title":"Captain Marvel","desc":"a Shazam ersatz","id":"3"}]"###);
|
||||
snapshot!(response["semanticHitCount"], @"3");
|
||||
|
||||
let (response, code) = index
|
||||
.search_post(
|
||||
json!({"q": "Wonder replacement", "hybrid": {"semanticRatio": 0.2}, "showRankingScore": false}),
|
||||
)
|
||||
.await;
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(response["hits"], @r###"[{"title":"Captain Marvel","desc":"a Shazam ersatz","id":"3"},{"title":"Shazam!","desc":"a Captain Marvel ersatz","id":"1"},{"title":"Captain Planet","desc":"He's not part of the Marvel Cinematic Universe","id":"2"}]"###);
|
||||
snapshot!(response["semanticHitCount"], @"3");
|
||||
}
|
||||
|
||||
#[actix_rt::test]
|
||||
async fn distribution_shift() {
|
||||
let server = Server::new().await;
|
||||
let index = index_with_documents_user_provided(&server, &SIMPLE_SEARCH_DOCUMENTS_VEC).await;
|
||||
|
||||
let search = json!({"q": "Captain", "vector": [1.0, 1.0], "showRankingScore": true, "hybrid": {"semanticRatio": 1.0}, "retrieveVectors": true});
|
||||
let (response, code) = index.search_post(search.clone()).await;
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(response["hits"], @r###"[{"title":"Captain Marvel","desc":"a Shazam ersatz","id":"3","_vectors":{"default":{"embeddings":[[2.0,3.0]],"regenerate":false}},"_rankingScore":0.990290343761444},{"title":"Captain Planet","desc":"He's not part of the Marvel Cinematic Universe","id":"2","_vectors":{"default":{"embeddings":[[1.0,2.0]],"regenerate":false}},"_rankingScore":0.974341630935669},{"title":"Shazam!","desc":"a Captain Marvel ersatz","id":"1","_vectors":{"default":{"embeddings":[[1.0,3.0]],"regenerate":false}},"_rankingScore":0.9472135901451112}]"###);
|
||||
|
||||
let (response, code) = index
|
||||
.update_settings(json!({
|
||||
"embedders": {
|
||||
"default": {
|
||||
"distribution": {
|
||||
"mean": 0.998,
|
||||
"sigma": 0.01
|
||||
}
|
||||
}
|
||||
}
|
||||
}))
|
||||
.await;
|
||||
|
||||
snapshot!(code, @"202 Accepted");
|
||||
let response = server.wait_task(response.uid()).await;
|
||||
snapshot!(response["details"], @r###"{"embedders":{"default":{"distribution":{"mean":0.998,"sigma":0.01}}}}"###);
|
||||
|
||||
let (response, code) = index.search_post(search).await;
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(response["hits"], @r###"[{"title":"Captain Marvel","desc":"a Shazam ersatz","id":"3","_vectors":{"default":{"embeddings":[[2.0,3.0]],"regenerate":false}},"_rankingScore":0.19161224365234375},{"title":"Captain Planet","desc":"He's not part of the Marvel Cinematic Universe","id":"2","_vectors":{"default":{"embeddings":[[1.0,2.0]],"regenerate":false}},"_rankingScore":1.1920928955078125e-7},{"title":"Shazam!","desc":"a Captain Marvel ersatz","id":"1","_vectors":{"default":{"embeddings":[[1.0,3.0]],"regenerate":false}},"_rankingScore":1.1920928955078125e-7}]"###);
|
||||
snapshot!(response["hits"], @r###"[{"title":"Captain Marvel","desc":"a Shazam ersatz","id":"3","_vectors":{"default":[2.0,3.0]},"_semanticScore":0.99029034},{"title":"Captain Planet","desc":"He's not part of the Marvel Cinematic Universe","id":"2","_vectors":{"default":[1.0,2.0]},"_semanticScore":0.97434163},{"title":"Shazam!","desc":"a Captain Marvel ersatz","id":"1","_vectors":{"default":[1.0,3.0]},"_semanticScore":0.9472136}]"###);
|
||||
}
|
||||
|
||||
#[actix_rt::test]
|
||||
async fn highlighter() {
|
||||
let server = Server::new().await;
|
||||
let index = index_with_documents_user_provided(&server, &SIMPLE_SEARCH_DOCUMENTS_VEC).await;
|
||||
let index = index_with_documents(&server, &SIMPLE_SEARCH_DOCUMENTS).await;
|
||||
|
||||
let (response, code) = index
|
||||
.search_post(json!({"q": "Captain Marvel", "vector": [1.0, 1.0],
|
||||
"hybrid": {"semanticRatio": 0.2},
|
||||
"retrieveVectors": true,
|
||||
"attributesToHighlight": [
|
||||
"desc",
|
||||
"_vectors",
|
||||
],
|
||||
"highlightPreTag": "**BEGIN**",
|
||||
"highlightPostTag": "**END**",
|
||||
}))
|
||||
.await;
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(response["hits"], @r###"[{"title":"Captain Marvel","desc":"a Shazam ersatz","id":"3","_vectors":{"default":{"embeddings":[[2.0,3.0]],"regenerate":false}},"_formatted":{"title":"Captain Marvel","desc":"a Shazam ersatz","id":"3"}},{"title":"Shazam!","desc":"a Captain Marvel ersatz","id":"1","_vectors":{"default":{"embeddings":[[1.0,3.0]],"regenerate":false}},"_formatted":{"title":"Shazam!","desc":"a **BEGIN**Captain**END** **BEGIN**Marvel**END** ersatz","id":"1"}},{"title":"Captain Planet","desc":"He's not part of the Marvel Cinematic Universe","id":"2","_vectors":{"default":{"embeddings":[[1.0,2.0]],"regenerate":false}},"_formatted":{"title":"Captain Planet","desc":"He's not part of the **BEGIN**Marvel**END** Cinematic Universe","id":"2"}}]"###);
|
||||
snapshot!(response["semanticHitCount"], @"0");
|
||||
|
||||
let (response, code) = index
|
||||
.search_post(json!({"q": "Captain Marvel", "vector": [1.0, 1.0],
|
||||
"hybrid": {"semanticRatio": 0.8},
|
||||
"retrieveVectors": true,
|
||||
"showRankingScore": true,
|
||||
"attributesToHighlight": [
|
||||
"desc"
|
||||
],
|
||||
@ -294,15 +103,25 @@ async fn highlighter() {
|
||||
}))
|
||||
.await;
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(response["hits"], @r###"[{"title":"Captain Marvel","desc":"a Shazam ersatz","id":"3","_vectors":{"default":{"embeddings":[[2.0,3.0]],"regenerate":false}},"_formatted":{"title":"Captain Marvel","desc":"a Shazam ersatz","id":"3"},"_rankingScore":0.990290343761444},{"title":"Captain Planet","desc":"He's not part of the Marvel Cinematic Universe","id":"2","_vectors":{"default":{"embeddings":[[1.0,2.0]],"regenerate":false}},"_formatted":{"title":"Captain Planet","desc":"He's not part of the **BEGIN**Marvel**END** Cinematic Universe","id":"2"},"_rankingScore":0.974341630935669},{"title":"Shazam!","desc":"a Captain Marvel ersatz","id":"1","_vectors":{"default":{"embeddings":[[1.0,3.0]],"regenerate":false}},"_formatted":{"title":"Shazam!","desc":"a **BEGIN**Captain**END** **BEGIN**Marvel**END** ersatz","id":"1"},"_rankingScore":0.9472135901451112}]"###);
|
||||
snapshot!(response["semanticHitCount"], @"3");
|
||||
snapshot!(response["hits"], @r###"[{"title":"Captain Marvel","desc":"a Shazam ersatz","id":"3","_vectors":{"default":[2.0,3.0]},"_formatted":{"title":"Captain Marvel","desc":"a Shazam ersatz","id":"3","_vectors":{"default":["2.0","3.0"]}}},{"title":"Shazam!","desc":"a Captain Marvel ersatz","id":"1","_vectors":{"default":[1.0,3.0]},"_formatted":{"title":"Shazam!","desc":"a **BEGIN**Captain**END** **BEGIN**Marvel**END** ersatz","id":"1","_vectors":{"default":["1.0","3.0"]}}},{"title":"Captain Planet","desc":"He's not part of the Marvel Cinematic Universe","id":"2","_vectors":{"default":[1.0,2.0]},"_formatted":{"title":"Captain Planet","desc":"He's not part of the **BEGIN**Marvel**END** Cinematic Universe","id":"2","_vectors":{"default":["1.0","2.0"]}}}]"###);
|
||||
|
||||
let (response, code) = index
|
||||
.search_post(json!({"q": "Captain Marvel", "vector": [1.0, 1.0],
|
||||
"hybrid": {"semanticRatio": 0.8},
|
||||
"attributesToHighlight": [
|
||||
"desc"
|
||||
],
|
||||
"highlightPreTag": "**BEGIN**",
|
||||
"highlightPostTag": "**END**"
|
||||
}))
|
||||
.await;
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(response["hits"], @r###"[{"title":"Captain Marvel","desc":"a Shazam ersatz","id":"3","_vectors":{"default":[2.0,3.0]},"_formatted":{"title":"Captain Marvel","desc":"a Shazam ersatz","id":"3","_vectors":{"default":["2.0","3.0"]}},"_semanticScore":0.99029034},{"title":"Captain Planet","desc":"He's not part of the Marvel Cinematic Universe","id":"2","_vectors":{"default":[1.0,2.0]},"_formatted":{"title":"Captain Planet","desc":"He's not part of the **BEGIN**Marvel**END** Cinematic Universe","id":"2","_vectors":{"default":["1.0","2.0"]}},"_semanticScore":0.97434163},{"title":"Shazam!","desc":"a Captain Marvel ersatz","id":"1","_vectors":{"default":[1.0,3.0]},"_formatted":{"title":"Shazam!","desc":"a **BEGIN**Captain**END** **BEGIN**Marvel**END** ersatz","id":"1","_vectors":{"default":["1.0","3.0"]}},"_semanticScore":0.9472136}]"###);
|
||||
|
||||
// no highlighting on full semantic
|
||||
let (response, code) = index
|
||||
.search_post(json!({"q": "Captain Marvel", "vector": [1.0, 1.0],
|
||||
"hybrid": {"semanticRatio": 1.0},
|
||||
"retrieveVectors": true,
|
||||
"showRankingScore": true,
|
||||
"attributesToHighlight": [
|
||||
"desc"
|
||||
],
|
||||
@ -311,14 +130,13 @@ async fn highlighter() {
|
||||
}))
|
||||
.await;
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(response["hits"], @r###"[{"title":"Captain Marvel","desc":"a Shazam ersatz","id":"3","_vectors":{"default":{"embeddings":[[2.0,3.0]],"regenerate":false}},"_formatted":{"title":"Captain Marvel","desc":"a Shazam ersatz","id":"3"},"_rankingScore":0.990290343761444},{"title":"Captain Planet","desc":"He's not part of the Marvel Cinematic Universe","id":"2","_vectors":{"default":{"embeddings":[[1.0,2.0]],"regenerate":false}},"_formatted":{"title":"Captain Planet","desc":"He's not part of the Marvel Cinematic Universe","id":"2"},"_rankingScore":0.974341630935669},{"title":"Shazam!","desc":"a Captain Marvel ersatz","id":"1","_vectors":{"default":{"embeddings":[[1.0,3.0]],"regenerate":false}},"_formatted":{"title":"Shazam!","desc":"a Captain Marvel ersatz","id":"1"},"_rankingScore":0.9472135901451112}]"###);
|
||||
snapshot!(response["semanticHitCount"], @"3");
|
||||
snapshot!(response["hits"], @r###"[{"title":"Captain Marvel","desc":"a Shazam ersatz","id":"3","_vectors":{"default":[2.0,3.0]},"_formatted":{"title":"Captain Marvel","desc":"a Shazam ersatz","id":"3","_vectors":{"default":["2.0","3.0"]}},"_semanticScore":0.99029034},{"title":"Captain Planet","desc":"He's not part of the Marvel Cinematic Universe","id":"2","_vectors":{"default":[1.0,2.0]},"_formatted":{"title":"Captain Planet","desc":"He's not part of the Marvel Cinematic Universe","id":"2","_vectors":{"default":["1.0","2.0"]}},"_semanticScore":0.97434163},{"title":"Shazam!","desc":"a Captain Marvel ersatz","id":"1","_vectors":{"default":[1.0,3.0]},"_formatted":{"title":"Shazam!","desc":"a Captain Marvel ersatz","id":"1","_vectors":{"default":["1.0","3.0"]}}}]"###);
|
||||
}
|
||||
|
||||
#[actix_rt::test]
|
||||
async fn invalid_semantic_ratio() {
|
||||
let server = Server::new().await;
|
||||
let index = index_with_documents_user_provided(&server, &SIMPLE_SEARCH_DOCUMENTS_VEC).await;
|
||||
let index = index_with_documents(&server, &SIMPLE_SEARCH_DOCUMENTS).await;
|
||||
|
||||
let (response, code) = index
|
||||
.search_post(
|
||||
@ -390,206 +208,14 @@ async fn invalid_semantic_ratio() {
|
||||
#[actix_rt::test]
|
||||
async fn single_document() {
|
||||
let server = Server::new().await;
|
||||
let index = index_with_documents_user_provided(&server, &SINGLE_DOCUMENT_VEC).await;
|
||||
let index = index_with_documents(&server, &SINGLE_DOCUMENT).await;
|
||||
|
||||
let (response, code) = index
|
||||
.search_post(
|
||||
json!({"vector": [1.0, 3.0], "hybrid": {"semanticRatio": 1.0}, "showRankingScore": true, "retrieveVectors": true}),
|
||||
json!({"vector": [1.0, 3.0], "hybrid": {"semanticRatio": 1.0}, "showRankingScore": true}),
|
||||
)
|
||||
.await;
|
||||
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(response["hits"][0], @r###"{"title":"Shazam!","desc":"a Captain Marvel ersatz","id":"1","_vectors":{"default":{"embeddings":[[1.0,3.0]],"regenerate":false}},"_rankingScore":1.0}"###);
|
||||
snapshot!(response["semanticHitCount"], @"1");
|
||||
}
|
||||
|
||||
#[actix_rt::test]
|
||||
async fn query_combination() {
|
||||
let server = Server::new().await;
|
||||
let index = index_with_documents_user_provided(&server, &SIMPLE_SEARCH_DOCUMENTS_VEC).await;
|
||||
|
||||
// search without query and vector, but with hybrid => still placeholder
|
||||
let (response, code) = index
|
||||
.search_post(json!({"hybrid": {"semanticRatio": 1.0}, "showRankingScore": true, "retrieveVectors": true}))
|
||||
.await;
|
||||
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(response["hits"], @r###"[{"title":"Shazam!","desc":"a Captain Marvel ersatz","id":"1","_vectors":{"default":{"embeddings":[[1.0,3.0]],"regenerate":false}},"_rankingScore":1.0},{"title":"Captain Planet","desc":"He's not part of the Marvel Cinematic Universe","id":"2","_vectors":{"default":{"embeddings":[[1.0,2.0]],"regenerate":false}},"_rankingScore":1.0},{"title":"Captain Marvel","desc":"a Shazam ersatz","id":"3","_vectors":{"default":{"embeddings":[[2.0,3.0]],"regenerate":false}},"_rankingScore":1.0}]"###);
|
||||
snapshot!(response["semanticHitCount"], @"null");
|
||||
|
||||
// same with a different semantic ratio
|
||||
let (response, code) = index
|
||||
.search_post(json!({"hybrid": {"semanticRatio": 0.76}, "showRankingScore": true, "retrieveVectors": true}))
|
||||
.await;
|
||||
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(response["hits"], @r###"[{"title":"Shazam!","desc":"a Captain Marvel ersatz","id":"1","_vectors":{"default":{"embeddings":[[1.0,3.0]],"regenerate":false}},"_rankingScore":1.0},{"title":"Captain Planet","desc":"He's not part of the Marvel Cinematic Universe","id":"2","_vectors":{"default":{"embeddings":[[1.0,2.0]],"regenerate":false}},"_rankingScore":1.0},{"title":"Captain Marvel","desc":"a Shazam ersatz","id":"3","_vectors":{"default":{"embeddings":[[2.0,3.0]],"regenerate":false}},"_rankingScore":1.0}]"###);
|
||||
snapshot!(response["semanticHitCount"], @"null");
|
||||
|
||||
// wrong vector dimensions
|
||||
let (response, code) = index
|
||||
.search_post(json!({"vector": [1.0, 0.0, 1.0], "hybrid": {"semanticRatio": 1.0}, "showRankingScore": true, "retrieveVectors": true}))
|
||||
.await;
|
||||
|
||||
snapshot!(code, @"400 Bad Request");
|
||||
snapshot!(response, @r###"
|
||||
{
|
||||
"message": "Invalid vector dimensions: expected: `2`, found: `3`.",
|
||||
"code": "invalid_vector_dimensions",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_vector_dimensions"
|
||||
}
|
||||
"###);
|
||||
|
||||
// full vector
|
||||
let (response, code) = index
|
||||
.search_post(json!({"vector": [1.0, 0.0], "hybrid": {"semanticRatio": 1.0}, "showRankingScore": true, "retrieveVectors": true}))
|
||||
.await;
|
||||
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(response["hits"], @r###"[{"title":"Captain Marvel","desc":"a Shazam ersatz","id":"3","_vectors":{"default":{"embeddings":[[2.0,3.0]],"regenerate":false}},"_rankingScore":0.7773500680923462},{"title":"Captain Planet","desc":"He's not part of the Marvel Cinematic Universe","id":"2","_vectors":{"default":{"embeddings":[[1.0,2.0]],"regenerate":false}},"_rankingScore":0.7236068248748779},{"title":"Shazam!","desc":"a Captain Marvel ersatz","id":"1","_vectors":{"default":{"embeddings":[[1.0,3.0]],"regenerate":false}},"_rankingScore":0.6581138968467712}]"###);
|
||||
snapshot!(response["semanticHitCount"], @"3");
|
||||
|
||||
// full keyword, without a query
|
||||
let (response, code) = index
|
||||
.search_post(json!({"vector": [1.0, 0.0], "hybrid": {"semanticRatio": 0.0}, "showRankingScore": true, "retrieveVectors": true}))
|
||||
.await;
|
||||
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(response["hits"], @r###"[{"title":"Shazam!","desc":"a Captain Marvel ersatz","id":"1","_vectors":{"default":{"embeddings":[[1.0,3.0]],"regenerate":false}},"_rankingScore":1.0},{"title":"Captain Planet","desc":"He's not part of the Marvel Cinematic Universe","id":"2","_vectors":{"default":{"embeddings":[[1.0,2.0]],"regenerate":false}},"_rankingScore":1.0},{"title":"Captain Marvel","desc":"a Shazam ersatz","id":"3","_vectors":{"default":{"embeddings":[[2.0,3.0]],"regenerate":false}},"_rankingScore":1.0}]"###);
|
||||
snapshot!(response["semanticHitCount"], @"null");
|
||||
|
||||
// query + vector, full keyword => keyword
|
||||
let (response, code) = index
|
||||
.search_post(json!({"q": "Captain", "vector": [1.0, 0.0], "hybrid": {"semanticRatio": 0.0}, "showRankingScore": true, "retrieveVectors": true}))
|
||||
.await;
|
||||
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(response["hits"], @r###"[{"title":"Captain Planet","desc":"He's not part of the Marvel Cinematic Universe","id":"2","_vectors":{"default":{"embeddings":[[1.0,2.0]],"regenerate":false}},"_rankingScore":0.9848484848484848},{"title":"Captain Marvel","desc":"a Shazam ersatz","id":"3","_vectors":{"default":{"embeddings":[[2.0,3.0]],"regenerate":false}},"_rankingScore":0.9848484848484848},{"title":"Shazam!","desc":"a Captain Marvel ersatz","id":"1","_vectors":{"default":{"embeddings":[[1.0,3.0]],"regenerate":false}},"_rankingScore":0.9242424242424242}]"###);
|
||||
snapshot!(response["semanticHitCount"], @"null");
|
||||
|
||||
// query + vector, no hybrid keyword =>
|
||||
let (response, code) = index
|
||||
.search_post(json!({"q": "Captain", "vector": [1.0, 0.0], "showRankingScore": true, "retrieveVectors": true}))
|
||||
.await;
|
||||
|
||||
snapshot!(code, @"400 Bad Request");
|
||||
snapshot!(response, @r###"
|
||||
{
|
||||
"message": "Invalid request: missing `hybrid` parameter when both `q` and `vector` are present.",
|
||||
"code": "missing_search_hybrid",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#missing_search_hybrid"
|
||||
}
|
||||
"###);
|
||||
|
||||
// full vector, without a vector => error
|
||||
let (response, code) = index
|
||||
.search_post(
|
||||
json!({"q": "Captain", "hybrid": {"semanticRatio": 1.0}, "showRankingScore": true, "retrieveVectors": true}),
|
||||
)
|
||||
.await;
|
||||
|
||||
snapshot!(code, @"400 Bad Request");
|
||||
snapshot!(response, @r###"
|
||||
{
|
||||
"message": "Error while generating embeddings: user error: attempt to embed the following text in a configuration where embeddings must be user provided: \"Captain\"",
|
||||
"code": "vector_embedding_error",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
|
||||
}
|
||||
"###);
|
||||
|
||||
// hybrid without a vector => full keyword
|
||||
let (response, code) = index
|
||||
.search_post(
|
||||
json!({"q": "Planet", "hybrid": {"semanticRatio": 0.99}, "showRankingScore": true, "retrieveVectors": true}),
|
||||
)
|
||||
.await;
|
||||
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(response["hits"], @r###"[{"title":"Captain Planet","desc":"He's not part of the Marvel Cinematic Universe","id":"2","_vectors":{"default":{"embeddings":[[1.0,2.0]],"regenerate":false}},"_rankingScore":0.9242424242424242}]"###);
|
||||
snapshot!(response["semanticHitCount"], @"0");
|
||||
}
|
||||
|
||||
#[actix_rt::test]
|
||||
async fn retrieve_vectors() {
|
||||
let server = Server::new().await;
|
||||
let index = index_with_documents_hf(&server, &SIMPLE_SEARCH_DOCUMENTS).await;
|
||||
|
||||
let (response, code) = index
|
||||
.search_post(
|
||||
json!({"q": "Captain", "hybrid": {"semanticRatio": 0.2}, "retrieveVectors": true}),
|
||||
)
|
||||
.await;
|
||||
snapshot!(code, @"200 OK");
|
||||
insta::assert_json_snapshot!(response["hits"], {"[]._vectors.default.embeddings" => "[vectors]"}, @r###"
|
||||
[
|
||||
{
|
||||
"title": "Captain Planet",
|
||||
"desc": "He's not part of the Marvel Cinematic Universe",
|
||||
"id": "2",
|
||||
"_vectors": {
|
||||
"default": {
|
||||
"embeddings": "[vectors]",
|
||||
"regenerate": true
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"title": "Captain Marvel",
|
||||
"desc": "a Shazam ersatz",
|
||||
"id": "3",
|
||||
"_vectors": {
|
||||
"default": {
|
||||
"embeddings": "[vectors]",
|
||||
"regenerate": true
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"title": "Shazam!",
|
||||
"desc": "a Captain Marvel ersatz",
|
||||
"id": "1",
|
||||
"_vectors": {
|
||||
"default": {
|
||||
"embeddings": "[vectors]",
|
||||
"regenerate": true
|
||||
}
|
||||
}
|
||||
}
|
||||
]
|
||||
"###);
|
||||
|
||||
// remove `_vectors` from displayed attributes
|
||||
let (response, code) =
|
||||
index.update_settings(json!({ "displayedAttributes": ["id", "title", "desc"]} )).await;
|
||||
assert_eq!(202, code, "{:?}", response);
|
||||
index.wait_task(response.uid()).await;
|
||||
|
||||
let (response, code) = index
|
||||
.search_post(
|
||||
json!({"q": "Captain", "hybrid": {"semanticRatio": 0.2}, "retrieveVectors": true}),
|
||||
)
|
||||
.await;
|
||||
snapshot!(code, @"200 OK");
|
||||
insta::assert_json_snapshot!(response["hits"], {"[]._vectors.default.embeddings" => "[vectors]"}, @r###"
|
||||
[
|
||||
{
|
||||
"title": "Captain Planet",
|
||||
"desc": "He's not part of the Marvel Cinematic Universe",
|
||||
"id": "2"
|
||||
},
|
||||
{
|
||||
"title": "Captain Marvel",
|
||||
"desc": "a Shazam ersatz",
|
||||
"id": "3"
|
||||
},
|
||||
{
|
||||
"title": "Shazam!",
|
||||
"desc": "a Captain Marvel ersatz",
|
||||
"id": "1"
|
||||
}
|
||||
]
|
||||
"###);
|
||||
snapshot!(response["hits"][0], @r###"{"title":"Shazam!","desc":"a Captain Marvel ersatz","id":"1","_vectors":{"default":[1.0,3.0]},"_rankingScore":1.0,"_semanticScore":1.0}"###);
|
||||
}
|
||||
|
||||
@ -1,128 +0,0 @@
|
||||
use meili_snap::snapshot;
|
||||
use once_cell::sync::Lazy;
|
||||
|
||||
use crate::common::index::Index;
|
||||
use crate::common::{Server, Value};
|
||||
use crate::json;
|
||||
|
||||
async fn index_with_documents<'a>(server: &'a Server, documents: &Value) -> Index<'a> {
|
||||
let index = server.index("test");
|
||||
|
||||
index.add_documents(documents.clone(), None).await;
|
||||
index.wait_task(0).await;
|
||||
index
|
||||
}
|
||||
|
||||
static SIMPLE_SEARCH_DOCUMENTS: Lazy<Value> = Lazy::new(|| {
|
||||
json!([
|
||||
{
|
||||
"title": "Shazam!",
|
||||
"id": "1",
|
||||
},
|
||||
{
|
||||
"title": "Captain Planet",
|
||||
"id": "2",
|
||||
},
|
||||
{
|
||||
"title": "Captain Marvel",
|
||||
"id": "3",
|
||||
},
|
||||
{
|
||||
"title": "a Captain Marvel ersatz",
|
||||
"id": "4"
|
||||
},
|
||||
{
|
||||
"title": "He's not part of the Marvel Cinematic Universe",
|
||||
"id": "5"
|
||||
},
|
||||
{
|
||||
"title": "a Shazam ersatz, but better than Captain Planet",
|
||||
"id": "6"
|
||||
},
|
||||
{
|
||||
"title": "Capitain CAAAAAVEEERNE!!!!",
|
||||
"id": "7"
|
||||
}
|
||||
])
|
||||
});
|
||||
|
||||
#[actix_rt::test]
|
||||
async fn simple_search() {
|
||||
let server = Server::new().await;
|
||||
let index = index_with_documents(&server, &SIMPLE_SEARCH_DOCUMENTS).await;
|
||||
|
||||
index
|
||||
.search(json!({"q": "Captain Marvel", "matchingStrategy": "last", "attributesToRetrieve": ["id"]}), |response, code| {
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(response["hits"], @r###"[{"id":"3"},{"id":"4"},{"id":"2"},{"id":"6"},{"id":"7"}]"###);
|
||||
})
|
||||
.await;
|
||||
|
||||
index
|
||||
.search(json!({"q": "Captain Marvel", "matchingStrategy": "all", "attributesToRetrieve": ["id"]}), |response, code| {
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(response["hits"], @r###"[{"id":"3"},{"id":"4"}]"###);
|
||||
})
|
||||
.await;
|
||||
|
||||
index
|
||||
.search(json!({"q": "Captain Marvel", "matchingStrategy": "frequency", "attributesToRetrieve": ["id"]}), |response, code| {
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(response["hits"], @r###"[{"id":"3"},{"id":"4"},{"id":"5"}]"###);
|
||||
})
|
||||
.await;
|
||||
}
|
||||
|
||||
#[actix_rt::test]
|
||||
async fn search_with_typo() {
|
||||
let server = Server::new().await;
|
||||
let index = index_with_documents(&server, &SIMPLE_SEARCH_DOCUMENTS).await;
|
||||
|
||||
index
|
||||
.search(json!({"q": "Capitain Marvel", "matchingStrategy": "last", "attributesToRetrieve": ["id"]}), |response, code| {
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(response["hits"], @r###"[{"id":"3"},{"id":"4"},{"id":"7"},{"id":"2"},{"id":"6"}]"###);
|
||||
})
|
||||
.await;
|
||||
|
||||
index
|
||||
.search(json!({"q": "Capitain Marvel", "matchingStrategy": "all", "attributesToRetrieve": ["id"]}), |response, code| {
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(response["hits"], @r###"[{"id":"3"},{"id":"4"}]"###);
|
||||
})
|
||||
.await;
|
||||
|
||||
index
|
||||
.search(json!({"q": "Capitain Marvel", "matchingStrategy": "frequency", "attributesToRetrieve": ["id"]}), |response, code| {
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(response["hits"], @r###"[{"id":"3"},{"id":"4"},{"id":"5"}]"###);
|
||||
})
|
||||
.await;
|
||||
}
|
||||
|
||||
#[actix_rt::test]
|
||||
async fn search_with_unknown_word() {
|
||||
let server = Server::new().await;
|
||||
let index = index_with_documents(&server, &SIMPLE_SEARCH_DOCUMENTS).await;
|
||||
|
||||
index
|
||||
.search(json!({"q": "Captain Supercopter Marvel", "matchingStrategy": "last", "attributesToRetrieve": ["id"]}), |response, code| {
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(response["hits"], @r###"[{"id":"2"},{"id":"3"},{"id":"4"},{"id":"6"},{"id":"7"}]"###);
|
||||
})
|
||||
.await;
|
||||
|
||||
index
|
||||
.search(json!({"q": "Captain Supercopter Marvel", "matchingStrategy": "all", "attributesToRetrieve": ["id"]}), |response, code| {
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(response["hits"], @"[]");
|
||||
})
|
||||
.await;
|
||||
|
||||
index
|
||||
.search(json!({"q": "Captain Supercopter Marvel", "matchingStrategy": "frequency", "attributesToRetrieve": ["id"]}), |response, code| {
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(response["hits"], @r###"[{"id":"3"},{"id":"4"},{"id":"5"}]"###);
|
||||
})
|
||||
.await;
|
||||
}
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user