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98 changed files with 2428 additions and 3724 deletions

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@ -2,3 +2,4 @@ target
Dockerfile
.dockerignore
.gitignore
**/.git

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@ -1,41 +1,24 @@
#!/usr/bin/env bash
set -eu -o pipefail
#!/bin/bash
check_tag() {
local expected=$1
local actual=$2
local filename=$3
if [[ $actual != $expected ]]; then
echo >&2 "Error: the current tag does not match the version in $filename: found $actual, expected $expected"
return 1
fi
# check_tag $current_tag $file_tag $file_name
function check_tag {
if [[ "$1" != "$2" ]]; then
echo "Error: the current tag does not match the version in Cargo.toml: found $2 - expected $1"
ret=1
fi
}
read_version() {
grep '^version = ' | cut -d \" -f 2
}
if [[ -z "${GITHUB_REF:-}" ]]; then
echo >&2 "Error: GITHUB_REF is not set"
exit 1
fi
if [[ ! "$GITHUB_REF" =~ ^refs/tags/v[0-9]+\.[0-9]+\.[0-9]+(-[a-z0-9]+)?$ ]]; then
echo >&2 "Error: GITHUB_REF is not a valid tag: $GITHUB_REF"
exit 1
fi
current_tag=${GITHUB_REF#refs/tags/v}
ret=0
current_tag=${GITHUB_REF#'refs/tags/v'}
toml_tag="$(cat Cargo.toml | read_version)"
check_tag "$current_tag" "$toml_tag" Cargo.toml || ret=1
file_tag="$(grep '^version = ' Cargo.toml | cut -d '=' -f 2 | tr -d '"' | tr -d ' ')"
check_tag $current_tag $file_tag
lock_tag=$(grep -A 1 '^name = "meilisearch-auth"' Cargo.lock | read_version)
check_tag "$current_tag" "$lock_tag" Cargo.lock || ret=1
lock_file='Cargo.lock'
lock_tag=$(grep -A 1 'name = "meilisearch-auth"' $lock_file | grep version | cut -d '=' -f 2 | tr -d '"' | tr -d ' ')
check_tag $current_tag $lock_tag $lock_file
if (( ret == 0 )); then
echo 'OK'
if [[ "$ret" -eq 0 ]] ; then
echo 'OK'
fi
exit $ret

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@ -1,24 +0,0 @@
name: Run the indexing fuzzer
on:
push:
branches:
- main
jobs:
fuzz:
name: Setup the action
runs-on: ubuntu-latest
timeout-minutes: 4320 # 72h
steps:
- uses: actions/checkout@v3
- uses: actions-rs/toolchain@v1
with:
profile: minimal
toolchain: stable
override: true
# Run benchmarks
- name: Run the fuzzer
run: |
cargo run --release --bin fuzz-indexing

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@ -35,7 +35,7 @@ jobs:
- name: Build deb package
run: cargo deb -p meilisearch -o target/debian/meilisearch.deb
- name: Upload debian pkg to release
uses: svenstaro/upload-release-action@2.6.1
uses: svenstaro/upload-release-action@2.5.0
with:
repo_token: ${{ secrets.MEILI_BOT_GH_PAT }}
file: target/debian/meilisearch.deb

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@ -54,7 +54,7 @@ jobs:
# No need to upload binaries for dry run (cron)
- name: Upload binaries to release
if: github.event_name == 'release'
uses: svenstaro/upload-release-action@2.6.1
uses: svenstaro/upload-release-action@2.5.0
with:
repo_token: ${{ secrets.MEILI_BOT_GH_PAT }}
file: target/release/meilisearch
@ -87,7 +87,7 @@ jobs:
# No need to upload binaries for dry run (cron)
- name: Upload binaries to release
if: github.event_name == 'release'
uses: svenstaro/upload-release-action@2.6.1
uses: svenstaro/upload-release-action@2.5.0
with:
repo_token: ${{ secrets.MEILI_BOT_GH_PAT }}
file: target/release/${{ matrix.artifact_name }}
@ -121,7 +121,7 @@ jobs:
- name: Upload the binary to release
# No need to upload binaries for dry run (cron)
if: github.event_name == 'release'
uses: svenstaro/upload-release-action@2.6.1
uses: svenstaro/upload-release-action@2.5.0
with:
repo_token: ${{ secrets.MEILI_BOT_GH_PAT }}
file: target/${{ matrix.target }}/release/meilisearch
@ -183,7 +183,7 @@ jobs:
- name: Upload the binary to release
# No need to upload binaries for dry run (cron)
if: github.event_name == 'release'
uses: svenstaro/upload-release-action@2.6.1
uses: svenstaro/upload-release-action@2.5.0
with:
repo_token: ${{ secrets.MEILI_BOT_GH_PAT }}
file: target/${{ matrix.target }}/release/meilisearch

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@ -58,9 +58,13 @@ jobs:
- name: Set up QEMU
uses: docker/setup-qemu-action@v2
with:
platforms: linux/amd64,linux/arm64
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v2
with:
platforms: linux/amd64,linux/arm64
- name: Login to Docker Hub
uses: docker/login-action@v2
@ -88,10 +92,13 @@ jobs:
push: true
platforms: linux/amd64,linux/arm64
tags: ${{ steps.meta.outputs.tags }}
builder: ${{ steps.buildx.outputs.name }}
build-args: |
COMMIT_SHA=${{ github.sha }}
COMMIT_DATE=${{ steps.build-metadata.outputs.date }}
GIT_TAG=${{ github.ref_name }}
cache-from: type=gha
cache-to: type=gha,mode=max
# /!\ Don't touch this without checking with Cloud team
- name: Send CI information to Cloud team

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@ -3,11 +3,6 @@ name: SDKs tests
on:
workflow_dispatch:
inputs:
docker_image:
description: 'The Meilisearch Docker image used'
required: false
default: nightly
schedule:
- cron: "0 6 * * MON" # Every Monday at 6:00AM
@ -16,28 +11,13 @@ env:
MEILI_NO_ANALYTICS: 'true'
jobs:
define-docker-image:
runs-on: ubuntu-latest
outputs:
docker-image: ${{ steps.define-image.outputs.docker-image }}
steps:
- uses: actions/checkout@v3
- name: Define the Docker image we need to use
id: define-image
run: |
event=${{ github.event_name }}
echo "docker-image=nightly" >> $GITHUB_OUTPUT
if [[ $event == 'workflow_dispatch' ]]; then
echo "docker-image=${{ github.event.inputs.docker_image }}" >> $GITHUB_OUTPUT
fi
meilisearch-js-tests:
needs: define-docker-image
name: JS SDK tests
runs-on: ubuntu-latest
services:
meilisearch:
image: getmeili/meilisearch:${{ needs.define-docker-image.outputs.docker-image }}
image: getmeili/meilisearch:nightly
env:
MEILI_MASTER_KEY: ${{ env.MEILI_MASTER_KEY }}
MEILI_NO_ANALYTICS: ${{ env.MEILI_NO_ANALYTICS }}
@ -67,12 +47,11 @@ jobs:
run: yarn test:env:browser
instant-meilisearch-tests:
needs: define-docker-image
name: instant-meilisearch tests
runs-on: ubuntu-latest
services:
meilisearch:
image: getmeili/meilisearch:${{ needs.define-docker-image.outputs.docker-image }}
image: getmeili/meilisearch:nightly
env:
MEILI_MASTER_KEY: ${{ env.MEILI_MASTER_KEY }}
MEILI_NO_ANALYTICS: ${{ env.MEILI_NO_ANALYTICS }}
@ -94,12 +73,11 @@ jobs:
run: yarn build
meilisearch-php-tests:
needs: define-docker-image
name: PHP SDK tests
runs-on: ubuntu-latest
services:
meilisearch:
image: getmeili/meilisearch:${{ needs.define-docker-image.outputs.docker-image }}
image: getmeili/meilisearch:nightly
env:
MEILI_MASTER_KEY: ${{ env.MEILI_MASTER_KEY }}
MEILI_NO_ANALYTICS: ${{ env.MEILI_NO_ANALYTICS }}
@ -125,12 +103,11 @@ jobs:
composer remove --dev guzzlehttp/guzzle http-interop/http-factory-guzzle
meilisearch-python-tests:
needs: define-docker-image
name: Python SDK tests
runs-on: ubuntu-latest
services:
meilisearch:
image: getmeili/meilisearch:${{ needs.define-docker-image.outputs.docker-image }}
image: getmeili/meilisearch:nightly
env:
MEILI_MASTER_KEY: ${{ env.MEILI_MASTER_KEY }}
MEILI_NO_ANALYTICS: ${{ env.MEILI_NO_ANALYTICS }}
@ -150,12 +127,11 @@ jobs:
run: pipenv run pytest
meilisearch-go-tests:
needs: define-docker-image
name: Go SDK tests
runs-on: ubuntu-latest
services:
meilisearch:
image: getmeili/meilisearch:${{ needs.define-docker-image.outputs.docker-image }}
image: getmeili/meilisearch:nightly
env:
MEILI_MASTER_KEY: ${{ env.MEILI_MASTER_KEY }}
MEILI_NO_ANALYTICS: ${{ env.MEILI_NO_ANALYTICS }}
@ -163,7 +139,7 @@ jobs:
- '7700:7700'
steps:
- name: Set up Go
uses: actions/setup-go@v4
uses: actions/setup-go@v3
with:
go-version: stable
- uses: actions/checkout@v3
@ -180,12 +156,11 @@ jobs:
run: go test -v ./...
meilisearch-ruby-tests:
needs: define-docker-image
name: Ruby SDK tests
runs-on: ubuntu-latest
services:
meilisearch:
image: getmeili/meilisearch:${{ needs.define-docker-image.outputs.docker-image }}
image: getmeili/meilisearch:nightly
env:
MEILI_MASTER_KEY: ${{ env.MEILI_MASTER_KEY }}
MEILI_NO_ANALYTICS: ${{ env.MEILI_NO_ANALYTICS }}
@ -205,12 +180,11 @@ jobs:
run: bundle exec rspec
meilisearch-rust-tests:
needs: define-docker-image
name: Rust SDK tests
runs-on: ubuntu-latest
services:
meilisearch:
image: getmeili/meilisearch:${{ needs.define-docker-image.outputs.docker-image }}
image: getmeili/meilisearch:nightly
env:
MEILI_MASTER_KEY: ${{ env.MEILI_MASTER_KEY }}
MEILI_NO_ANALYTICS: ${{ env.MEILI_NO_ANALYTICS }}

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@ -43,7 +43,7 @@ jobs:
toolchain: nightly
override: true
- name: Cache dependencies
uses: Swatinem/rust-cache@v2.4.0
uses: Swatinem/rust-cache@v2.2.1
- name: Run cargo check without any default features
uses: actions-rs/cargo@v1
with:
@ -65,7 +65,7 @@ jobs:
steps:
- uses: actions/checkout@v3
- name: Cache dependencies
uses: Swatinem/rust-cache@v2.4.0
uses: Swatinem/rust-cache@v2.2.1
- name: Run cargo check without any default features
uses: actions-rs/cargo@v1
with:
@ -105,29 +105,6 @@ jobs:
command: test
args: --workspace --locked --release --all-features
test-disabled-tokenization:
name: Test disabled tokenization
runs-on: ubuntu-latest
container:
image: ubuntu:18.04
if: github.event_name == 'schedule'
steps:
- uses: actions/checkout@v3
- name: Install needed dependencies
run: |
apt-get update
apt-get install --assume-yes build-essential curl
- uses: actions-rs/toolchain@v1
with:
toolchain: stable
override: true
- name: Run cargo tree without default features and check lindera is not present
run: |
cargo tree -f '{p} {f}' -e normal --no-default-features | grep lindera -vqz
- name: Run cargo tree with default features and check lindera is pressent
run: |
cargo tree -f '{p} {f}' -e normal | grep lindera -qz
# We run tests in debug also, to make sure that the debug_assertions are hit
test-debug:
name: Run tests in debug
@ -146,7 +123,7 @@ jobs:
toolchain: stable
override: true
- name: Cache dependencies
uses: Swatinem/rust-cache@v2.4.0
uses: Swatinem/rust-cache@v2.2.1
- name: Run tests in debug
uses: actions-rs/cargo@v1
with:
@ -165,7 +142,7 @@ jobs:
override: true
components: clippy
- name: Cache dependencies
uses: Swatinem/rust-cache@v2.4.0
uses: Swatinem/rust-cache@v2.2.1
- name: Run cargo clippy
uses: actions-rs/cargo@v1
with:
@ -184,7 +161,7 @@ jobs:
override: true
components: rustfmt
- name: Cache dependencies
uses: Swatinem/rust-cache@v2.4.0
uses: Swatinem/rust-cache@v2.2.1
- name: Run cargo fmt
# Since we never ran the `build.rs` script in the benchmark directory we are missing one auto-generated import file.
# Since we want to trigger (and fail) this action as fast as possible, instead of building the benchmark crate

755
Cargo.lock generated

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@ -10,12 +10,10 @@ members = [
"file-store",
"permissive-json-pointer",
"milli",
"index-stats",
"filter-parser",
"flatten-serde-json",
"json-depth-checker",
"benchmarks",
"fuzzers",
"benchmarks"
]
[workspace.package]

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@ -1,3 +1,4 @@
# syntax=docker/dockerfile:1.4
# Compile
FROM rust:alpine3.16 AS compiler
@ -11,7 +12,7 @@ ARG GIT_TAG
ENV VERGEN_GIT_SHA=${COMMIT_SHA} VERGEN_GIT_COMMIT_TIMESTAMP=${COMMIT_DATE} VERGEN_GIT_SEMVER_LIGHTWEIGHT=${GIT_TAG}
ENV RUSTFLAGS="-C target-feature=-crt-static"
COPY . .
COPY --link . .
RUN set -eux; \
apkArch="$(apk --print-arch)"; \
if [ "$apkArch" = "aarch64" ]; then \
@ -30,7 +31,7 @@ RUN apk update --quiet \
# add meilisearch to the `/bin` so you can run it from anywhere and it's easy
# to find.
COPY --from=compiler /meilisearch/target/release/meilisearch /bin/meilisearch
COPY --from=compiler --link /meilisearch/target/release/meilisearch /bin/meilisearch
# To stay compatible with the older version of the container (pre v0.27.0) we're
# going to symlink the meilisearch binary in the path to `/meilisearch`
RUN ln -s /bin/meilisearch /meilisearch

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@ -1,19 +0,0 @@
global:
scrape_interval: 15s # By default, scrape targets every 15 seconds.
# Attach these labels to any time series or alerts when communicating with
# external systems (federation, remote storage, Alertmanager).
external_labels:
monitor: 'codelab-monitor'
# A scrape configuration containing exactly one endpoint to scrape:
# Here it's Prometheus itself.
scrape_configs:
# The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.
- job_name: 'meilisearch'
# Override the global default and scrape targets from this job every 5 seconds.
scrape_interval: 5s
static_configs:
- targets: ['localhost:7700']

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@ -1,131 +1,131 @@
# This file shows the default configuration of Meilisearch.
# All variables are defined here: https://www.meilisearch.com/docs/learn/configuration/instance_options#environment-variables
db_path = "./data.ms"
# Designates the location where database files will be created and retrieved.
# https://www.meilisearch.com/docs/learn/configuration/instance_options#database-path
db_path = "./data.ms"
env = "development"
# Configures the instance's environment. Value must be either `production` or `development`.
# https://www.meilisearch.com/docs/learn/configuration/instance_options#environment
env = "development"
# The address on which the HTTP server will listen.
http_addr = "localhost:7700"
# The address on which the HTTP server will listen.
# master_key = "YOUR_MASTER_KEY_VALUE"
# Sets the instance's master key, automatically protecting all routes except GET /health.
# https://www.meilisearch.com/docs/learn/configuration/instance_options#master-key
# master_key = "YOUR_MASTER_KEY_VALUE"
# no_analytics = true
# Deactivates Meilisearch's built-in telemetry when provided.
# Meilisearch automatically collects data from all instances that do not opt out using this flag.
# All gathered data is used solely for the purpose of improving Meilisearch, and can be deleted at any time.
# https://www.meilisearch.com/docs/learn/configuration/instance_options#disable-analytics
# no_analytics = true
http_payload_size_limit = "100 MB"
# Sets the maximum size of accepted payloads.
# https://www.meilisearch.com/docs/learn/configuration/instance_options#payload-limit-size
http_payload_size_limit = "100 MB"
log_level = "INFO"
# Defines how much detail should be present in Meilisearch's logs.
# Meilisearch currently supports six log levels, listed in order of increasing verbosity: `OFF`, `ERROR`, `WARN`, `INFO`, `DEBUG`, `TRACE`
# https://www.meilisearch.com/docs/learn/configuration/instance_options#log-level
log_level = "INFO"
# max_indexing_memory = "2 GiB"
# Sets the maximum amount of RAM Meilisearch can use when indexing.
# https://www.meilisearch.com/docs/learn/configuration/instance_options#max-indexing-memory
# max_indexing_memory = "2 GiB"
# max_indexing_threads = 4
# Sets the maximum number of threads Meilisearch can use during indexing.
# https://www.meilisearch.com/docs/learn/configuration/instance_options#max-indexing-threads
# max_indexing_threads = 4
#############
### DUMPS ###
#############
dump_dir = "dumps/"
# Sets the directory where Meilisearch will create dump files.
# https://www.meilisearch.com/docs/learn/configuration/instance_options#dump-directory
dump_dir = "dumps/"
# import_dump = "./path/to/my/file.dump"
# Imports the dump file located at the specified path. Path must point to a .dump file.
# https://www.meilisearch.com/docs/learn/configuration/instance_options#import-dump
# import_dump = "./path/to/my/file.dump"
ignore_missing_dump = false
# Prevents Meilisearch from throwing an error when `import_dump` does not point to a valid dump file.
# https://www.meilisearch.com/docs/learn/configuration/instance_options#ignore-missing-dump
ignore_missing_dump = false
ignore_dump_if_db_exists = false
# Prevents a Meilisearch instance with an existing database from throwing an error when using `import_dump`.
# https://www.meilisearch.com/docs/learn/configuration/instance_options#ignore-dump-if-db-exists
ignore_dump_if_db_exists = false
#################
### SNAPSHOTS ###
#################
schedule_snapshot = false
# Enables scheduled snapshots when true, disable when false (the default).
# If the value is given as an integer, then enables the scheduled snapshot with the passed value as the interval
# between each snapshot, in seconds.
# https://www.meilisearch.com/docs/learn/configuration/instance_options#schedule-snapshot-creation
schedule_snapshot = false
snapshot_dir = "snapshots/"
# Sets the directory where Meilisearch will store snapshots.
# https://www.meilisearch.com/docs/learn/configuration/instance_options#snapshot-destination
snapshot_dir = "snapshots/"
# import_snapshot = "./path/to/my/snapshot"
# Launches Meilisearch after importing a previously-generated snapshot at the given filepath.
# https://www.meilisearch.com/docs/learn/configuration/instance_options#import-snapshot
# import_snapshot = "./path/to/my/snapshot"
ignore_missing_snapshot = false
# Prevents a Meilisearch instance from throwing an error when `import_snapshot` does not point to a valid snapshot file.
# https://www.meilisearch.com/docs/learn/configuration/instance_options#ignore-missing-snapshot
ignore_missing_snapshot = false
ignore_snapshot_if_db_exists = false
# Prevents a Meilisearch instance with an existing database from throwing an error when using `import_snapshot`.
# https://www.meilisearch.com/docs/learn/configuration/instance_options#ignore-snapshot-if-db-exists
ignore_snapshot_if_db_exists = false
###########
### SSL ###
###########
# ssl_auth_path = "./path/to/root"
# Enables client authentication in the specified path.
# https://www.meilisearch.com/docs/learn/configuration/instance_options#ssl-authentication-path
# ssl_auth_path = "./path/to/root"
# ssl_cert_path = "./path/to/certfile"
# Sets the server's SSL certificates.
# https://www.meilisearch.com/docs/learn/configuration/instance_options#ssl-certificates-path
# ssl_cert_path = "./path/to/certfile"
# ssl_key_path = "./path/to/private-key"
# Sets the server's SSL key files.
# https://www.meilisearch.com/docs/learn/configuration/instance_options#ssl-key-path
# ssl_key_path = "./path/to/private-key"
# ssl_ocsp_path = "./path/to/ocsp-file"
# Sets the server's OCSP file.
# https://www.meilisearch.com/docs/learn/configuration/instance_options#ssl-ocsp-path
# ssl_ocsp_path = "./path/to/ocsp-file"
ssl_require_auth = false
# Makes SSL authentication mandatory.
# https://www.meilisearch.com/docs/learn/configuration/instance_options#ssl-require-auth
ssl_require_auth = false
ssl_resumption = false
# Activates SSL session resumption.
# https://www.meilisearch.com/docs/learn/configuration/instance_options#ssl-resumption
ssl_resumption = false
ssl_tickets = false
# Activates SSL tickets.
# https://www.meilisearch.com/docs/learn/configuration/instance_options#ssl-tickets
ssl_tickets = false
#############################
### Experimental features ###
#############################
experimental_enable_metrics = false
# Experimental metrics feature. For more information, see: <https://github.com/meilisearch/meilisearch/discussions/3518>
# Enables the Prometheus metrics on the `GET /metrics` endpoint.
experimental_enable_metrics = false
# Experimental RAM reduction during indexing, do not use in production, see: <https://github.com/meilisearch/product/discussions/652>
experimental_reduce_indexing_memory_usage = false
# Experimental RAM reduction during indexing, do not use in production, see: <https://github.com/meilisearch/product/discussions/652>

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@ -358,6 +358,7 @@ impl<T> From<v5::Settings<T>> for v6::Settings<v6::Unchecked> {
faceting: match settings.faceting {
v5::Setting::Set(faceting) => v6::Setting::Set(v6::FacetingSettings {
max_values_per_facet: faceting.max_values_per_facet.into(),
sort_facet_values_by: v6::Setting::NotSet,
}),
v5::Setting::Reset => v6::Setting::Reset,
v5::Setting::NotSet => v6::Setting::NotSet,

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@ -1,20 +0,0 @@
[package]
name = "fuzzers"
publish = false
version.workspace = true
authors.workspace = true
description.workspace = true
homepage.workspace = true
readme.workspace = true
edition.workspace = true
license.workspace = true
[dependencies]
arbitrary = { version = "1.3.0", features = ["derive"] }
clap = { version = "4.3.0", features = ["derive"] }
fastrand = "1.9.0"
milli = { path = "../milli" }
serde = { version = "1.0.160", features = ["derive"] }
serde_json = { version = "1.0.95", features = ["preserve_order"] }
tempfile = "3.5.0"

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@ -1,3 +0,0 @@
# Fuzzers
The purpose of this crate is to contains all the handmade "fuzzer" we may need.

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@ -1,152 +0,0 @@
use std::num::NonZeroUsize;
use std::path::PathBuf;
use std::sync::atomic::{AtomicBool, AtomicUsize, Ordering};
use std::time::Duration;
use arbitrary::{Arbitrary, Unstructured};
use clap::Parser;
use fuzzers::Operation;
use milli::heed::EnvOpenOptions;
use milli::update::{IndexDocuments, IndexDocumentsConfig, IndexerConfig};
use milli::Index;
use tempfile::TempDir;
#[derive(Debug, Arbitrary)]
struct Batch([Operation; 5]);
#[derive(Debug, Clone, Parser)]
struct Opt {
/// The number of fuzzer to run in parallel.
#[clap(long)]
par: Option<NonZeroUsize>,
// We need to put a lot of newlines in the following documentation or else everything gets collapsed on one line
/// The path in which the databases will be created.
/// Using a ramdisk is recommended.
///
/// Linux:
///
/// sudo mount -t tmpfs -o size=2g tmpfs ramdisk # to create it
///
/// sudo umount ramdisk # to remove it
///
/// MacOS:
///
/// diskutil erasevolume HFS+ 'RAM Disk' `hdiutil attach -nobrowse -nomount ram://4194304 # create it
///
/// hdiutil detach /dev/:the_disk
#[clap(long)]
path: Option<PathBuf>,
}
fn main() {
let opt = Opt::parse();
let progression: &'static AtomicUsize = Box::leak(Box::new(AtomicUsize::new(0)));
let stop: &'static AtomicBool = Box::leak(Box::new(AtomicBool::new(false)));
let par = opt.par.unwrap_or_else(|| std::thread::available_parallelism().unwrap()).get();
let mut handles = Vec::with_capacity(par);
for _ in 0..par {
let opt = opt.clone();
let handle = std::thread::spawn(move || {
let mut options = EnvOpenOptions::new();
options.map_size(1024 * 1024 * 1024 * 1024);
let tempdir = match opt.path {
Some(path) => TempDir::new_in(path).unwrap(),
None => TempDir::new().unwrap(),
};
let index = Index::new(options, tempdir.path()).unwrap();
let indexer_config = IndexerConfig::default();
let index_documents_config = IndexDocumentsConfig::default();
std::thread::scope(|s| {
loop {
if stop.load(Ordering::Relaxed) {
return;
}
let v: Vec<u8> =
std::iter::repeat_with(|| fastrand::u8(..)).take(1000).collect();
let mut data = Unstructured::new(&v);
let batches = <[Batch; 5]>::arbitrary(&mut data).unwrap();
// will be used to display the error once a thread crashes
let dbg_input = format!("{:#?}", batches);
let handle = s.spawn(|| {
let mut wtxn = index.write_txn().unwrap();
for batch in batches {
let mut builder = IndexDocuments::new(
&mut wtxn,
&index,
&indexer_config,
index_documents_config.clone(),
|_| (),
|| false,
)
.unwrap();
for op in batch.0 {
match op {
Operation::AddDoc(doc) => {
let documents =
milli::documents::objects_from_json_value(doc.to_d());
let documents =
milli::documents::documents_batch_reader_from_objects(
documents,
);
let (b, _added) = builder.add_documents(documents).unwrap();
builder = b;
}
Operation::DeleteDoc(id) => {
let (b, _removed) =
builder.remove_documents(vec![id.to_s()]).unwrap();
builder = b;
}
}
}
builder.execute().unwrap();
// after executing a batch we check if the database is corrupted
let res = index.search(&wtxn).execute().unwrap();
index.documents(&wtxn, res.documents_ids).unwrap();
progression.fetch_add(1, Ordering::Relaxed);
}
wtxn.abort().unwrap();
});
if let err @ Err(_) = handle.join() {
stop.store(true, Ordering::Relaxed);
err.expect(&dbg_input);
}
}
});
});
handles.push(handle);
}
std::thread::spawn(|| {
let mut last_value = 0;
let start = std::time::Instant::now();
loop {
let total = progression.load(Ordering::Relaxed);
let elapsed = start.elapsed().as_secs();
if elapsed > 3600 {
// after 1 hour, stop the fuzzer, success
std::process::exit(0);
}
println!(
"Has been running for {:?} seconds. Tested {} new values for a total of {}.",
elapsed,
total - last_value,
total
);
last_value = total;
std::thread::sleep(Duration::from_secs(1));
}
});
for handle in handles {
handle.join().unwrap();
}
}

View File

@ -1,46 +0,0 @@
use arbitrary::Arbitrary;
use serde_json::{json, Value};
#[derive(Debug, Arbitrary)]
pub enum Document {
One,
Two,
Three,
Four,
Five,
Six,
}
impl Document {
pub fn to_d(&self) -> Value {
match self {
Document::One => json!({ "id": 0, "doggo": "bernese" }),
Document::Two => json!({ "id": 0, "doggo": "golden" }),
Document::Three => json!({ "id": 0, "catto": "jorts" }),
Document::Four => json!({ "id": 1, "doggo": "bernese" }),
Document::Five => json!({ "id": 1, "doggo": "golden" }),
Document::Six => json!({ "id": 1, "catto": "jorts" }),
}
}
}
#[derive(Debug, Arbitrary)]
pub enum DocId {
Zero,
One,
}
impl DocId {
pub fn to_s(&self) -> String {
match self {
DocId::Zero => "0".to_string(),
DocId::One => "1".to_string(),
}
}
}
#[derive(Debug, Arbitrary)]
pub enum Operation {
AddDoc(Document),
DeleteDoc(DocId),
}

File diff suppressed because it is too large Load Diff

View File

@ -160,7 +160,7 @@ impl BatchKind {
impl BatchKind {
/// Returns a `ControlFlow::Break` if you must stop right now.
/// The boolean tell you if an index has been created by the batched task.
/// To ease the writing of the code. `true` can be returned when you don't need to create an index
/// To ease the writting of the code. `true` can be returned when you don't need to create an index
/// but false can't be returned if you needs to create an index.
// TODO use an AutoBatchKind as input
pub fn new(
@ -214,7 +214,7 @@ impl BatchKind {
/// Returns a `ControlFlow::Break` if you must stop right now.
/// The boolean tell you if an index has been created by the batched task.
/// To ease the writing of the code. `true` can be returned when you don't need to create an index
/// To ease the writting of the code. `true` can be returned when you don't need to create an index
/// but false can't be returned if you needs to create an index.
#[rustfmt::skip]
fn accumulate(self, id: TaskId, kind: AutobatchKind, index_already_exists: bool, primary_key: Option<&str>) -> ControlFlow<BatchKind, BatchKind> {
@ -321,18 +321,9 @@ impl BatchKind {
})
}
(
BatchKind::DocumentOperation { method, allow_index_creation, primary_key, mut operation_ids },
this @ BatchKind::DocumentOperation { .. },
K::DocumentDeletion,
) => {
operation_ids.push(id);
Continue(BatchKind::DocumentOperation {
method,
allow_index_creation,
primary_key,
operation_ids,
})
}
) => Break(this),
// but we can't autobatch documents if it's not the same kind
// this match branch MUST be AFTER the previous one
(
@ -355,35 +346,7 @@ impl BatchKind {
deletion_ids.push(id);
Continue(BatchKind::DocumentClear { ids: deletion_ids })
}
// we can autobatch the deletion and import if the index already exists
(
BatchKind::DocumentDeletion { mut deletion_ids },
K::DocumentImport { method, allow_index_creation, primary_key }
) if index_already_exists => {
deletion_ids.push(id);
Continue(BatchKind::DocumentOperation {
method,
allow_index_creation,
primary_key,
operation_ids: deletion_ids,
})
}
// we can autobatch the deletion and import if both can't create an index
(
BatchKind::DocumentDeletion { mut deletion_ids },
K::DocumentImport { method, allow_index_creation, primary_key }
) if !allow_index_creation => {
deletion_ids.push(id);
Continue(BatchKind::DocumentOperation {
method,
allow_index_creation,
primary_key,
operation_ids: deletion_ids,
})
}
// we can't autobatch a deletion and an import if the index does not exists but would be created by an addition
// we can't autobatch a deletion and an import
(
this @ BatchKind::DocumentDeletion { .. },
K::DocumentImport { .. }
@ -685,36 +648,36 @@ mod tests {
debug_snapshot!(autobatch_from(false,None, [settings(false)]), @"Some((Settings { allow_index_creation: false, settings_ids: [0] }, false))");
debug_snapshot!(autobatch_from(false,None, [settings(false), settings(false), settings(false)]), @"Some((Settings { allow_index_creation: false, settings_ids: [0, 1, 2] }, false))");
// We can autobatch document addition with document deletion
debug_snapshot!(autobatch_from(true, None, [doc_imp(ReplaceDocuments, true, None), doc_del()]), @"Some((DocumentOperation { method: ReplaceDocuments, allow_index_creation: true, primary_key: None, operation_ids: [0, 1] }, true))");
debug_snapshot!(autobatch_from(true, None, [doc_imp(UpdateDocuments, true, None), doc_del()]), @"Some((DocumentOperation { method: UpdateDocuments, allow_index_creation: true, primary_key: None, operation_ids: [0, 1] }, true))");
debug_snapshot!(autobatch_from(true, None, [doc_imp(ReplaceDocuments, false, None), doc_del()]), @"Some((DocumentOperation { method: ReplaceDocuments, allow_index_creation: false, primary_key: None, operation_ids: [0, 1] }, false))");
debug_snapshot!(autobatch_from(true, None, [doc_imp(UpdateDocuments, false, None), doc_del()]), @"Some((DocumentOperation { method: UpdateDocuments, allow_index_creation: false, primary_key: None, operation_ids: [0, 1] }, false))");
debug_snapshot!(autobatch_from(true, None, [doc_imp(ReplaceDocuments, true, Some("catto")), doc_del()]), @r###"Some((DocumentOperation { method: ReplaceDocuments, allow_index_creation: true, primary_key: Some("catto"), operation_ids: [0, 1] }, true))"###);
debug_snapshot!(autobatch_from(true, None, [doc_imp(UpdateDocuments, true, Some("catto")), doc_del()]), @r###"Some((DocumentOperation { method: UpdateDocuments, allow_index_creation: true, primary_key: Some("catto"), operation_ids: [0, 1] }, true))"###);
debug_snapshot!(autobatch_from(true, None, [doc_imp(ReplaceDocuments, false, Some("catto")), doc_del()]), @r###"Some((DocumentOperation { method: ReplaceDocuments, allow_index_creation: false, primary_key: Some("catto"), operation_ids: [0, 1] }, false))"###);
debug_snapshot!(autobatch_from(true, None, [doc_imp(UpdateDocuments, false, Some("catto")), doc_del()]), @r###"Some((DocumentOperation { method: UpdateDocuments, allow_index_creation: false, primary_key: Some("catto"), operation_ids: [0, 1] }, false))"###);
debug_snapshot!(autobatch_from(false, None, [doc_imp(ReplaceDocuments, true, None), doc_del()]), @"Some((DocumentOperation { method: ReplaceDocuments, allow_index_creation: true, primary_key: None, operation_ids: [0, 1] }, true))");
debug_snapshot!(autobatch_from(false, None, [doc_imp(UpdateDocuments, true, None), doc_del()]), @"Some((DocumentOperation { method: UpdateDocuments, allow_index_creation: true, primary_key: None, operation_ids: [0, 1] }, true))");
debug_snapshot!(autobatch_from(false, None, [doc_imp(ReplaceDocuments, false, None), doc_del()]), @"Some((DocumentOperation { method: ReplaceDocuments, allow_index_creation: false, primary_key: None, operation_ids: [0, 1] }, false))");
debug_snapshot!(autobatch_from(false, None, [doc_imp(UpdateDocuments, false, None), doc_del()]), @"Some((DocumentOperation { method: UpdateDocuments, allow_index_creation: false, primary_key: None, operation_ids: [0, 1] }, false))");
debug_snapshot!(autobatch_from(false, None, [doc_imp(ReplaceDocuments, true, Some("catto")), doc_del()]), @r###"Some((DocumentOperation { method: ReplaceDocuments, allow_index_creation: true, primary_key: Some("catto"), operation_ids: [0, 1] }, true))"###);
debug_snapshot!(autobatch_from(false, None, [doc_imp(UpdateDocuments, true, Some("catto")), doc_del()]), @r###"Some((DocumentOperation { method: UpdateDocuments, allow_index_creation: true, primary_key: Some("catto"), operation_ids: [0, 1] }, true))"###);
debug_snapshot!(autobatch_from(false, None, [doc_imp(ReplaceDocuments, false, Some("catto")), doc_del()]), @r###"Some((DocumentOperation { method: ReplaceDocuments, allow_index_creation: false, primary_key: Some("catto"), operation_ids: [0, 1] }, false))"###);
debug_snapshot!(autobatch_from(false, None, [doc_imp(UpdateDocuments, false, Some("catto")), doc_del()]), @r###"Some((DocumentOperation { method: UpdateDocuments, allow_index_creation: false, primary_key: Some("catto"), operation_ids: [0, 1] }, false))"###);
// And the other way around
debug_snapshot!(autobatch_from(true, None, [doc_del(), doc_imp(ReplaceDocuments, true, None)]), @"Some((DocumentOperation { method: ReplaceDocuments, allow_index_creation: true, primary_key: None, operation_ids: [0, 1] }, false))");
debug_snapshot!(autobatch_from(true, None, [doc_del(), doc_imp(UpdateDocuments, true, None)]), @"Some((DocumentOperation { method: UpdateDocuments, allow_index_creation: true, primary_key: None, operation_ids: [0, 1] }, false))");
debug_snapshot!(autobatch_from(true, None, [doc_del(), doc_imp(ReplaceDocuments, false, None)]), @"Some((DocumentOperation { method: ReplaceDocuments, allow_index_creation: false, primary_key: None, operation_ids: [0, 1] }, false))");
debug_snapshot!(autobatch_from(true, None, [doc_del(), doc_imp(UpdateDocuments, false, None)]), @"Some((DocumentOperation { method: UpdateDocuments, allow_index_creation: false, primary_key: None, operation_ids: [0, 1] }, false))");
debug_snapshot!(autobatch_from(true, None, [doc_del(), doc_imp(ReplaceDocuments, true, Some("catto"))]), @r###"Some((DocumentOperation { method: ReplaceDocuments, allow_index_creation: true, primary_key: Some("catto"), operation_ids: [0, 1] }, false))"###);
debug_snapshot!(autobatch_from(true, None, [doc_del(), doc_imp(UpdateDocuments, true, Some("catto"))]), @r###"Some((DocumentOperation { method: UpdateDocuments, allow_index_creation: true, primary_key: Some("catto"), operation_ids: [0, 1] }, false))"###);
debug_snapshot!(autobatch_from(true, None, [doc_del(), doc_imp(ReplaceDocuments, false, Some("catto"))]), @r###"Some((DocumentOperation { method: ReplaceDocuments, allow_index_creation: false, primary_key: Some("catto"), operation_ids: [0, 1] }, false))"###);
debug_snapshot!(autobatch_from(true, None, [doc_del(), doc_imp(UpdateDocuments, false, Some("catto"))]), @r###"Some((DocumentOperation { method: UpdateDocuments, allow_index_creation: false, primary_key: Some("catto"), operation_ids: [0, 1] }, false))"###);
debug_snapshot!(autobatch_from(false, None, [doc_del(), doc_imp(ReplaceDocuments, false, None)]), @"Some((DocumentOperation { method: ReplaceDocuments, allow_index_creation: false, primary_key: None, operation_ids: [0, 1] }, false))");
debug_snapshot!(autobatch_from(false, None, [doc_del(), doc_imp(UpdateDocuments, false, None)]), @"Some((DocumentOperation { method: UpdateDocuments, allow_index_creation: false, primary_key: None, operation_ids: [0, 1] }, false))");
debug_snapshot!(autobatch_from(false, None, [doc_del(), doc_imp(ReplaceDocuments, false, Some("catto"))]), @r###"Some((DocumentOperation { method: ReplaceDocuments, allow_index_creation: false, primary_key: Some("catto"), operation_ids: [0, 1] }, false))"###);
debug_snapshot!(autobatch_from(false, None, [doc_del(), doc_imp(UpdateDocuments, false, Some("catto"))]), @r###"Some((DocumentOperation { method: UpdateDocuments, allow_index_creation: false, primary_key: Some("catto"), operation_ids: [0, 1] }, false))"###);
// We can't autobatch document addition with document deletion
debug_snapshot!(autobatch_from(true, None, [doc_imp(ReplaceDocuments, true, None), doc_del()]), @"Some((DocumentOperation { method: ReplaceDocuments, allow_index_creation: true, primary_key: None, operation_ids: [0] }, true))");
debug_snapshot!(autobatch_from(true, None, [doc_imp(UpdateDocuments, true, None), doc_del()]), @"Some((DocumentOperation { method: UpdateDocuments, allow_index_creation: true, primary_key: None, operation_ids: [0] }, true))");
debug_snapshot!(autobatch_from(true, None, [doc_imp(ReplaceDocuments, false, None), doc_del()]), @"Some((DocumentOperation { method: ReplaceDocuments, allow_index_creation: false, primary_key: None, operation_ids: [0] }, false))");
debug_snapshot!(autobatch_from(true, None, [doc_imp(UpdateDocuments, false, None), doc_del()]), @"Some((DocumentOperation { method: UpdateDocuments, allow_index_creation: false, primary_key: None, operation_ids: [0] }, false))");
debug_snapshot!(autobatch_from(true, None, [doc_imp(ReplaceDocuments, true, Some("catto")), doc_del()]), @r###"Some((DocumentOperation { method: ReplaceDocuments, allow_index_creation: true, primary_key: Some("catto"), operation_ids: [0] }, true))"###);
debug_snapshot!(autobatch_from(true, None, [doc_imp(UpdateDocuments, true, Some("catto")), doc_del()]), @r###"Some((DocumentOperation { method: UpdateDocuments, allow_index_creation: true, primary_key: Some("catto"), operation_ids: [0] }, true))"###);
debug_snapshot!(autobatch_from(true, None, [doc_imp(ReplaceDocuments, false, Some("catto")), doc_del()]), @r###"Some((DocumentOperation { method: ReplaceDocuments, allow_index_creation: false, primary_key: Some("catto"), operation_ids: [0] }, false))"###);
debug_snapshot!(autobatch_from(true, None, [doc_imp(UpdateDocuments, false, Some("catto")), doc_del()]), @r###"Some((DocumentOperation { method: UpdateDocuments, allow_index_creation: false, primary_key: Some("catto"), operation_ids: [0] }, false))"###);
debug_snapshot!(autobatch_from(false, None, [doc_imp(ReplaceDocuments, true, None), doc_del()]), @"Some((DocumentOperation { method: ReplaceDocuments, allow_index_creation: true, primary_key: None, operation_ids: [0] }, true))");
debug_snapshot!(autobatch_from(false, None, [doc_imp(UpdateDocuments, true, None), doc_del()]), @"Some((DocumentOperation { method: UpdateDocuments, allow_index_creation: true, primary_key: None, operation_ids: [0] }, true))");
debug_snapshot!(autobatch_from(false, None, [doc_imp(ReplaceDocuments, false, None), doc_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), doc_del()]), @"Some((DocumentOperation { method: UpdateDocuments, allow_index_creation: false, primary_key: None, operation_ids: [0] }, false))");
debug_snapshot!(autobatch_from(false, None, [doc_imp(ReplaceDocuments, true, Some("catto")), doc_del()]), @r###"Some((DocumentOperation { method: ReplaceDocuments, allow_index_creation: true, primary_key: Some("catto"), operation_ids: [0] }, true))"###);
debug_snapshot!(autobatch_from(false, None, [doc_imp(UpdateDocuments, true, Some("catto")), doc_del()]), @r###"Some((DocumentOperation { method: UpdateDocuments, allow_index_creation: true, primary_key: Some("catto"), operation_ids: [0] }, true))"###);
debug_snapshot!(autobatch_from(false, None, [doc_imp(ReplaceDocuments, false, Some("catto")), doc_del()]), @r###"Some((DocumentOperation { method: ReplaceDocuments, allow_index_creation: false, primary_key: Some("catto"), operation_ids: [0] }, false))"###);
debug_snapshot!(autobatch_from(false, None, [doc_imp(UpdateDocuments, false, Some("catto")), doc_del()]), @r###"Some((DocumentOperation { method: UpdateDocuments, allow_index_creation: false, primary_key: Some("catto"), operation_ids: [0] }, false))"###);
// we also can't do the only way around
debug_snapshot!(autobatch_from(true, None, [doc_del(), doc_imp(ReplaceDocuments, true, None)]), @"Some((DocumentDeletion { deletion_ids: [0] }, false))");
debug_snapshot!(autobatch_from(true, None, [doc_del(), doc_imp(UpdateDocuments, true, None)]), @"Some((DocumentDeletion { deletion_ids: [0] }, false))");
debug_snapshot!(autobatch_from(true, None, [doc_del(), doc_imp(ReplaceDocuments, false, None)]), @"Some((DocumentDeletion { deletion_ids: [0] }, false))");
debug_snapshot!(autobatch_from(true, None, [doc_del(), doc_imp(UpdateDocuments, false, None)]), @"Some((DocumentDeletion { deletion_ids: [0] }, false))");
debug_snapshot!(autobatch_from(true, None, [doc_del(), doc_imp(ReplaceDocuments, true, Some("catto"))]), @"Some((DocumentDeletion { deletion_ids: [0] }, false))");
debug_snapshot!(autobatch_from(true, None, [doc_del(), doc_imp(UpdateDocuments, true, Some("catto"))]), @"Some((DocumentDeletion { deletion_ids: [0] }, false))");
debug_snapshot!(autobatch_from(true, None, [doc_del(), doc_imp(ReplaceDocuments, false, Some("catto"))]), @"Some((DocumentDeletion { deletion_ids: [0] }, false))");
debug_snapshot!(autobatch_from(true, None, [doc_del(), doc_imp(UpdateDocuments, false, Some("catto"))]), @"Some((DocumentDeletion { deletion_ids: [0] }, false))");
debug_snapshot!(autobatch_from(false, None, [doc_del(), doc_imp(ReplaceDocuments, false, None)]), @"Some((DocumentDeletion { deletion_ids: [0] }, false))");
debug_snapshot!(autobatch_from(false, None, [doc_del(), doc_imp(UpdateDocuments, false, None)]), @"Some((DocumentDeletion { deletion_ids: [0] }, false))");
debug_snapshot!(autobatch_from(false, None, [doc_del(), doc_imp(ReplaceDocuments, false, Some("catto"))]), @"Some((DocumentDeletion { deletion_ids: [0] }, false))");
debug_snapshot!(autobatch_from(false, None, [doc_del(), doc_imp(UpdateDocuments, false, Some("catto"))]), @"Some((DocumentDeletion { deletion_ids: [0] }, false))");
}
#[test]

View File

@ -998,7 +998,7 @@ impl IndexScheduler {
}()
.unwrap_or_default();
// The write transaction is directly owned and committed inside.
// The write transaction is directly owned and commited inside.
match self.index_mapper.delete_index(wtxn, &index_uid) {
Ok(()) => (),
Err(Error::IndexNotFound(_)) if index_has_been_created => (),

View File

@ -90,17 +90,8 @@ pub enum IndexStatus {
pub struct IndexStats {
/// Number of documents in the index.
pub number_of_documents: u64,
/// Size taken up by the index' DB, in bytes.
///
/// This includes the size taken by both the used and free pages of the DB, and as the free pages
/// are not returned to the disk after a deletion, this number is typically larger than
/// `used_database_size` that only includes the size of the used pages.
/// Size of the index' DB, in bytes.
pub database_size: u64,
/// Size taken by the used pages of the index' DB, in bytes.
///
/// As the DB backend does not return to the disk the pages that are not currently used by the DB,
/// this value is typically smaller than `database_size`.
pub used_database_size: u64,
/// Association of every field name with the number of times it occurs in the documents.
pub field_distribution: FieldDistribution,
/// Creation date of the index.
@ -116,10 +107,10 @@ impl IndexStats {
///
/// - rtxn: a RO transaction for the index, obtained from `Index::read_txn()`.
pub fn new(index: &Index, rtxn: &RoTxn) -> Result<Self> {
let database_size = index.on_disk_size()?;
Ok(IndexStats {
number_of_documents: index.number_of_documents(rtxn)?,
database_size: index.on_disk_size()?,
used_database_size: index.used_size()?,
database_size,
field_distribution: index.field_distribution(rtxn)?,
created_at: index.created_at(rtxn)?,
updated_at: index.updated_at(rtxn)?,

View File

@ -31,7 +31,7 @@ mod uuid_codec;
pub type Result<T> = std::result::Result<T, Error>;
pub type TaskId = u32;
use std::collections::{BTreeMap, HashMap};
use std::collections::HashMap;
use std::ops::{Bound, RangeBounds};
use std::path::{Path, PathBuf};
use std::sync::atomic::AtomicBool;
@ -573,16 +573,10 @@ impl IndexScheduler {
&self.index_mapper.indexer_config
}
/// Return the real database size (i.e.: The size **with** the free pages)
pub fn size(&self) -> Result<u64> {
Ok(self.env.real_disk_size()?)
}
/// Return the used database size (i.e.: The size **without** the free pages)
pub fn used_size(&self) -> Result<u64> {
Ok(self.env.non_free_pages_size()?)
}
/// Return the index corresponding to the name.
///
/// * If the index wasn't opened before, the index will be opened.
@ -762,38 +756,6 @@ impl IndexScheduler {
Ok(tasks)
}
/// The returned structure contains:
/// 1. The name of the property being observed can be `statuses`, `types`, or `indexes`.
/// 2. The name of the specific data related to the property can be `enqueued` for the `statuses`, `settingsUpdate` for the `types`, or the name of the index for the `indexes`, for example.
/// 3. The number of times the properties appeared.
pub fn get_stats(&self) -> Result<BTreeMap<String, BTreeMap<String, u64>>> {
let rtxn = self.read_txn()?;
let mut res = BTreeMap::new();
res.insert(
"statuses".to_string(),
enum_iterator::all::<Status>()
.map(|s| Ok((s.to_string(), self.get_status(&rtxn, s)?.len())))
.collect::<Result<BTreeMap<String, u64>>>()?,
);
res.insert(
"types".to_string(),
enum_iterator::all::<Kind>()
.map(|s| Ok((s.to_string(), self.get_kind(&rtxn, s)?.len())))
.collect::<Result<BTreeMap<String, u64>>>()?,
);
res.insert(
"indexes".to_string(),
self.index_tasks
.iter(&rtxn)?
.map(|res| Ok(res.map(|(name, bitmap)| (name.to_string(), bitmap.len()))?))
.collect::<Result<BTreeMap<String, u64>>>()?,
);
Ok(res)
}
/// Return true iff there is at least one task associated with this index
/// that is processing.
pub fn is_index_processing(&self, index: &str) -> Result<bool> {
@ -1785,7 +1747,7 @@ mod tests {
assert_eq!(task.kind.as_kind(), k);
}
snapshot!(snapshot_index_scheduler(&index_scheduler), name: "everything_is_successfully_registered");
snapshot!(snapshot_index_scheduler(&index_scheduler), name: "everything_is_succesfully_registered");
}
#[test]
@ -2075,105 +2037,6 @@ mod tests {
snapshot!(snapshot_index_scheduler(&index_scheduler), name: "both_task_succeeded");
}
#[test]
fn document_addition_and_document_deletion() {
let (index_scheduler, mut handle) = IndexScheduler::test(true, vec![]);
let content = r#"[
{ "id": 1, "doggo": "jean bob" },
{ "id": 2, "catto": "jorts" },
{ "id": 3, "doggo": "bork" }
]"#;
let (uuid, mut file) = index_scheduler.create_update_file_with_uuid(0).unwrap();
let documents_count = read_json(content.as_bytes(), file.as_file_mut()).unwrap();
file.persist().unwrap();
index_scheduler
.register(KindWithContent::DocumentAdditionOrUpdate {
index_uid: S("doggos"),
primary_key: Some(S("id")),
method: ReplaceDocuments,
content_file: uuid,
documents_count,
allow_index_creation: true,
})
.unwrap();
snapshot!(snapshot_index_scheduler(&index_scheduler), name: "registered_the_first_task");
index_scheduler
.register(KindWithContent::DocumentDeletion {
index_uid: S("doggos"),
documents_ids: vec![S("1"), S("2")],
})
.unwrap();
snapshot!(snapshot_index_scheduler(&index_scheduler), name: "registered_the_second_task");
handle.advance_one_successful_batch(); // The addition AND deletion should've been batched together
snapshot!(snapshot_index_scheduler(&index_scheduler), name: "after_processing_the_batch");
let index = index_scheduler.index("doggos").unwrap();
let rtxn = index.read_txn().unwrap();
let field_ids_map = index.fields_ids_map(&rtxn).unwrap();
let field_ids = field_ids_map.ids().collect::<Vec<_>>();
let documents = index
.all_documents(&rtxn)
.unwrap()
.map(|ret| obkv_to_json(&field_ids, &field_ids_map, ret.unwrap().1).unwrap())
.collect::<Vec<_>>();
snapshot!(serde_json::to_string_pretty(&documents).unwrap(), name: "documents");
}
#[test]
fn document_deletion_and_document_addition() {
let (index_scheduler, mut handle) = IndexScheduler::test(true, vec![]);
index_scheduler
.register(KindWithContent::DocumentDeletion {
index_uid: S("doggos"),
documents_ids: vec![S("1"), S("2")],
})
.unwrap();
snapshot!(snapshot_index_scheduler(&index_scheduler), name: "registered_the_first_task");
let content = r#"[
{ "id": 1, "doggo": "jean bob" },
{ "id": 2, "catto": "jorts" },
{ "id": 3, "doggo": "bork" }
]"#;
let (uuid, mut file) = index_scheduler.create_update_file_with_uuid(0).unwrap();
let documents_count = read_json(content.as_bytes(), file.as_file_mut()).unwrap();
file.persist().unwrap();
index_scheduler
.register(KindWithContent::DocumentAdditionOrUpdate {
index_uid: S("doggos"),
primary_key: Some(S("id")),
method: ReplaceDocuments,
content_file: uuid,
documents_count,
allow_index_creation: true,
})
.unwrap();
snapshot!(snapshot_index_scheduler(&index_scheduler), name: "registered_the_second_task");
// The deletion should have failed because it can't create an index
handle.advance_one_failed_batch();
snapshot!(snapshot_index_scheduler(&index_scheduler), name: "after_failing_the_deletion");
// The addition should works
handle.advance_one_successful_batch();
snapshot!(snapshot_index_scheduler(&index_scheduler), name: "after_last_successful_addition");
let index = index_scheduler.index("doggos").unwrap();
let rtxn = index.read_txn().unwrap();
let field_ids_map = index.fields_ids_map(&rtxn).unwrap();
let field_ids = field_ids_map.ids().collect::<Vec<_>>();
let documents = index
.all_documents(&rtxn)
.unwrap()
.map(|ret| obkv_to_json(&field_ids, &field_ids_map, ret.unwrap().1).unwrap())
.collect::<Vec<_>>();
snapshot!(serde_json::to_string_pretty(&documents).unwrap(), name: "documents");
}
#[test]
fn do_not_batch_task_of_different_indexes() {
let (index_scheduler, mut handle) = IndexScheduler::test(true, vec![]);

View File

@ -1,43 +0,0 @@
---
source: index-scheduler/src/lib.rs
---
### Autobatching Enabled = true
### Processing Tasks:
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, status: succeeded, details: { received_documents: 3, indexed_documents: Some(3) }, kind: DocumentAdditionOrUpdate { index_uid: "doggos", primary_key: Some("id"), method: ReplaceDocuments, content_file: 00000000-0000-0000-0000-000000000000, documents_count: 3, allow_index_creation: true }}
1 {uid: 1, status: succeeded, details: { received_document_ids: 2, deleted_documents: Some(2) }, kind: DocumentDeletion { index_uid: "doggos", documents_ids: ["1", "2"] }}
----------------------------------------------------------------------
### Status:
enqueued []
succeeded [0,1,]
----------------------------------------------------------------------
### Kind:
"documentAdditionOrUpdate" [0,]
"documentDeletion" [1,]
----------------------------------------------------------------------
### Index Tasks:
doggos [0,1,]
----------------------------------------------------------------------
### Index Mapper:
doggos: { number_of_documents: 1, field_distribution: {"doggo": 1, "id": 1} }
----------------------------------------------------------------------
### Canceled By:
----------------------------------------------------------------------
### Enqueued At:
[timestamp] [0,]
[timestamp] [1,]
----------------------------------------------------------------------
### Started At:
[timestamp] [0,1,]
----------------------------------------------------------------------
### Finished At:
[timestamp] [0,1,]
----------------------------------------------------------------------
### File Store:
----------------------------------------------------------------------

View File

@ -1,9 +0,0 @@
---
source: index-scheduler/src/lib.rs
---
[
{
"id": 3,
"doggo": "bork"
}
]

View File

@ -1,37 +0,0 @@
---
source: index-scheduler/src/lib.rs
---
### Autobatching Enabled = true
### Processing Tasks:
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, status: enqueued, details: { received_documents: 3, indexed_documents: None }, kind: DocumentAdditionOrUpdate { index_uid: "doggos", primary_key: Some("id"), method: ReplaceDocuments, content_file: 00000000-0000-0000-0000-000000000000, documents_count: 3, allow_index_creation: true }}
----------------------------------------------------------------------
### Status:
enqueued [0,]
----------------------------------------------------------------------
### Kind:
"documentAdditionOrUpdate" [0,]
----------------------------------------------------------------------
### Index Tasks:
doggos [0,]
----------------------------------------------------------------------
### Index Mapper:
----------------------------------------------------------------------
### Canceled By:
----------------------------------------------------------------------
### Enqueued At:
[timestamp] [0,]
----------------------------------------------------------------------
### Started At:
----------------------------------------------------------------------
### Finished At:
----------------------------------------------------------------------
### File Store:
00000000-0000-0000-0000-000000000000
----------------------------------------------------------------------

View File

@ -1,40 +0,0 @@
---
source: index-scheduler/src/lib.rs
---
### Autobatching Enabled = true
### Processing Tasks:
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, status: enqueued, details: { received_documents: 3, indexed_documents: None }, kind: DocumentAdditionOrUpdate { index_uid: "doggos", primary_key: Some("id"), method: ReplaceDocuments, content_file: 00000000-0000-0000-0000-000000000000, documents_count: 3, allow_index_creation: true }}
1 {uid: 1, status: enqueued, details: { received_document_ids: 2, deleted_documents: None }, kind: DocumentDeletion { index_uid: "doggos", documents_ids: ["1", "2"] }}
----------------------------------------------------------------------
### Status:
enqueued [0,1,]
----------------------------------------------------------------------
### Kind:
"documentAdditionOrUpdate" [0,]
"documentDeletion" [1,]
----------------------------------------------------------------------
### Index Tasks:
doggos [0,1,]
----------------------------------------------------------------------
### Index Mapper:
----------------------------------------------------------------------
### Canceled By:
----------------------------------------------------------------------
### Enqueued At:
[timestamp] [0,]
[timestamp] [1,]
----------------------------------------------------------------------
### Started At:
----------------------------------------------------------------------
### Finished At:
----------------------------------------------------------------------
### File Store:
00000000-0000-0000-0000-000000000000
----------------------------------------------------------------------

View File

@ -1,43 +0,0 @@
---
source: index-scheduler/src/lib.rs
---
### Autobatching Enabled = true
### Processing Tasks:
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, status: failed, error: ResponseError { code: 200, message: "Index `doggos` not found.", error_code: "index_not_found", error_type: "invalid_request", error_link: "https://docs.meilisearch.com/errors#index_not_found" }, details: { received_document_ids: 2, deleted_documents: Some(0) }, kind: DocumentDeletion { index_uid: "doggos", documents_ids: ["1", "2"] }}
1 {uid: 1, status: enqueued, details: { received_documents: 3, indexed_documents: None }, kind: DocumentAdditionOrUpdate { index_uid: "doggos", primary_key: Some("id"), method: ReplaceDocuments, content_file: 00000000-0000-0000-0000-000000000000, documents_count: 3, allow_index_creation: true }}
----------------------------------------------------------------------
### Status:
enqueued [1,]
failed [0,]
----------------------------------------------------------------------
### Kind:
"documentAdditionOrUpdate" [1,]
"documentDeletion" [0,]
----------------------------------------------------------------------
### Index Tasks:
doggos [0,1,]
----------------------------------------------------------------------
### Index Mapper:
----------------------------------------------------------------------
### Canceled By:
----------------------------------------------------------------------
### Enqueued At:
[timestamp] [0,]
[timestamp] [1,]
----------------------------------------------------------------------
### Started At:
[timestamp] [0,]
----------------------------------------------------------------------
### Finished At:
[timestamp] [0,]
----------------------------------------------------------------------
### File Store:
00000000-0000-0000-0000-000000000000
----------------------------------------------------------------------

View File

@ -1,46 +0,0 @@
---
source: index-scheduler/src/lib.rs
---
### Autobatching Enabled = true
### Processing Tasks:
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, status: failed, error: ResponseError { code: 200, message: "Index `doggos` not found.", error_code: "index_not_found", error_type: "invalid_request", error_link: "https://docs.meilisearch.com/errors#index_not_found" }, details: { received_document_ids: 2, deleted_documents: Some(0) }, kind: DocumentDeletion { index_uid: "doggos", documents_ids: ["1", "2"] }}
1 {uid: 1, status: succeeded, details: { received_documents: 3, indexed_documents: Some(3) }, kind: DocumentAdditionOrUpdate { index_uid: "doggos", primary_key: Some("id"), method: ReplaceDocuments, content_file: 00000000-0000-0000-0000-000000000000, documents_count: 3, allow_index_creation: true }}
----------------------------------------------------------------------
### Status:
enqueued []
succeeded [1,]
failed [0,]
----------------------------------------------------------------------
### Kind:
"documentAdditionOrUpdate" [1,]
"documentDeletion" [0,]
----------------------------------------------------------------------
### Index Tasks:
doggos [0,1,]
----------------------------------------------------------------------
### Index Mapper:
doggos: { number_of_documents: 3, field_distribution: {"catto": 1, "doggo": 2, "id": 3} }
----------------------------------------------------------------------
### Canceled By:
----------------------------------------------------------------------
### Enqueued At:
[timestamp] [0,]
[timestamp] [1,]
----------------------------------------------------------------------
### Started At:
[timestamp] [0,]
[timestamp] [1,]
----------------------------------------------------------------------
### Finished At:
[timestamp] [0,]
[timestamp] [1,]
----------------------------------------------------------------------
### File Store:
----------------------------------------------------------------------

View File

@ -1,17 +0,0 @@
---
source: index-scheduler/src/lib.rs
---
[
{
"id": 1,
"doggo": "jean bob"
},
{
"id": 2,
"catto": "jorts"
},
{
"id": 3,
"doggo": "bork"
}
]

View File

@ -1,36 +0,0 @@
---
source: index-scheduler/src/lib.rs
---
### Autobatching Enabled = true
### Processing Tasks:
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, status: enqueued, details: { received_document_ids: 2, deleted_documents: None }, kind: DocumentDeletion { index_uid: "doggos", documents_ids: ["1", "2"] }}
----------------------------------------------------------------------
### Status:
enqueued [0,]
----------------------------------------------------------------------
### Kind:
"documentDeletion" [0,]
----------------------------------------------------------------------
### Index Tasks:
doggos [0,]
----------------------------------------------------------------------
### Index Mapper:
----------------------------------------------------------------------
### Canceled By:
----------------------------------------------------------------------
### Enqueued At:
[timestamp] [0,]
----------------------------------------------------------------------
### Started At:
----------------------------------------------------------------------
### Finished At:
----------------------------------------------------------------------
### File Store:
----------------------------------------------------------------------

View File

@ -1,40 +0,0 @@
---
source: index-scheduler/src/lib.rs
---
### Autobatching Enabled = true
### Processing Tasks:
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, status: enqueued, details: { received_document_ids: 2, deleted_documents: None }, kind: DocumentDeletion { index_uid: "doggos", documents_ids: ["1", "2"] }}
1 {uid: 1, status: enqueued, details: { received_documents: 3, indexed_documents: None }, kind: DocumentAdditionOrUpdate { index_uid: "doggos", primary_key: Some("id"), method: ReplaceDocuments, content_file: 00000000-0000-0000-0000-000000000000, documents_count: 3, allow_index_creation: true }}
----------------------------------------------------------------------
### Status:
enqueued [0,1,]
----------------------------------------------------------------------
### Kind:
"documentAdditionOrUpdate" [1,]
"documentDeletion" [0,]
----------------------------------------------------------------------
### Index Tasks:
doggos [0,1,]
----------------------------------------------------------------------
### Index Mapper:
----------------------------------------------------------------------
### Canceled By:
----------------------------------------------------------------------
### Enqueued At:
[timestamp] [0,]
[timestamp] [1,]
----------------------------------------------------------------------
### Started At:
----------------------------------------------------------------------
### Finished At:
----------------------------------------------------------------------
### File Store:
00000000-0000-0000-0000-000000000000
----------------------------------------------------------------------

View File

@ -466,7 +466,7 @@ impl IndexScheduler {
}
}
Details::DocumentDeletionByFilter { deleted_documents, original_filter: _ } => {
assert_eq!(kind.as_kind(), Kind::DocumentDeletion);
assert_eq!(kind.as_kind(), Kind::DocumentDeletionByFilter);
let (index_uid, _) = if let KindWithContent::DocumentDeletionByFilter {
ref index_uid,
ref filter_expr,

View File

@ -1,12 +0,0 @@
[package]
name = "index-stats"
description = "A small program that computes internal stats of a Meilisearch index"
version = "0.1.0"
edition = "2021"
publish = false
[dependencies]
anyhow = "1.0.71"
clap = { version = "4.3.5", features = ["derive"] }
milli = { path = "../milli" }
piechart = "1.0.0"

View File

@ -1,224 +0,0 @@
use std::cmp::Reverse;
use std::path::PathBuf;
use clap::Parser;
use milli::heed::{types::ByteSlice, EnvOpenOptions, PolyDatabase, RoTxn};
use milli::index::db_name::*;
use milli::index::Index;
use piechart::{Chart, Color, Data};
/// Simple program to greet a person
#[derive(Parser, Debug)]
#[command(author, version, about, long_about = None)]
struct Args {
/// The path to the LMDB Meilisearch index database.
path: PathBuf,
/// The radius of the graphs
#[clap(long, default_value_t = 10)]
graph_radius: u16,
/// The radius of the graphs
#[clap(long, default_value_t = 6)]
graph_aspect_ratio: u16,
}
fn main() -> anyhow::Result<()> {
let Args { path, graph_radius, graph_aspect_ratio } = Args::parse();
let env = EnvOpenOptions::new().max_dbs(24).open(path)?;
// TODO not sure to keep that...
// if removed put the pub(crate) back in the Index struct
matches!(
Option::<Index>::None,
Some(Index {
env: _,
main: _,
word_docids: _,
exact_word_docids: _,
word_prefix_docids: _,
exact_word_prefix_docids: _,
word_pair_proximity_docids: _,
word_prefix_pair_proximity_docids: _,
prefix_word_pair_proximity_docids: _,
word_position_docids: _,
word_fid_docids: _,
field_id_word_count_docids: _,
word_prefix_position_docids: _,
word_prefix_fid_docids: _,
script_language_docids: _,
facet_id_exists_docids: _,
facet_id_is_null_docids: _,
facet_id_is_empty_docids: _,
facet_id_f64_docids: _,
facet_id_string_docids: _,
field_id_docid_facet_f64s: _,
field_id_docid_facet_strings: _,
documents: _,
})
);
let mut wtxn = env.write_txn()?;
let main = env.create_poly_database(&mut wtxn, Some(MAIN))?;
let word_docids = env.create_poly_database(&mut wtxn, Some(WORD_DOCIDS))?;
let exact_word_docids = env.create_poly_database(&mut wtxn, Some(EXACT_WORD_DOCIDS))?;
let word_prefix_docids = env.create_poly_database(&mut wtxn, Some(WORD_PREFIX_DOCIDS))?;
let exact_word_prefix_docids =
env.create_poly_database(&mut wtxn, Some(EXACT_WORD_PREFIX_DOCIDS))?;
let word_pair_proximity_docids =
env.create_poly_database(&mut wtxn, Some(WORD_PAIR_PROXIMITY_DOCIDS))?;
let script_language_docids =
env.create_poly_database(&mut wtxn, Some(SCRIPT_LANGUAGE_DOCIDS))?;
let word_prefix_pair_proximity_docids =
env.create_poly_database(&mut wtxn, Some(WORD_PREFIX_PAIR_PROXIMITY_DOCIDS))?;
let prefix_word_pair_proximity_docids =
env.create_poly_database(&mut wtxn, Some(PREFIX_WORD_PAIR_PROXIMITY_DOCIDS))?;
let word_position_docids = env.create_poly_database(&mut wtxn, Some(WORD_POSITION_DOCIDS))?;
let word_fid_docids = env.create_poly_database(&mut wtxn, Some(WORD_FIELD_ID_DOCIDS))?;
let field_id_word_count_docids =
env.create_poly_database(&mut wtxn, Some(FIELD_ID_WORD_COUNT_DOCIDS))?;
let word_prefix_position_docids =
env.create_poly_database(&mut wtxn, Some(WORD_PREFIX_POSITION_DOCIDS))?;
let word_prefix_fid_docids =
env.create_poly_database(&mut wtxn, Some(WORD_PREFIX_FIELD_ID_DOCIDS))?;
let facet_id_f64_docids = env.create_poly_database(&mut wtxn, Some(FACET_ID_F64_DOCIDS))?;
let facet_id_string_docids =
env.create_poly_database(&mut wtxn, Some(FACET_ID_STRING_DOCIDS))?;
let facet_id_exists_docids =
env.create_poly_database(&mut wtxn, Some(FACET_ID_EXISTS_DOCIDS))?;
let facet_id_is_null_docids =
env.create_poly_database(&mut wtxn, Some(FACET_ID_IS_NULL_DOCIDS))?;
let facet_id_is_empty_docids =
env.create_poly_database(&mut wtxn, Some(FACET_ID_IS_EMPTY_DOCIDS))?;
let field_id_docid_facet_f64s =
env.create_poly_database(&mut wtxn, Some(FIELD_ID_DOCID_FACET_F64S))?;
let field_id_docid_facet_strings =
env.create_poly_database(&mut wtxn, Some(FIELD_ID_DOCID_FACET_STRINGS))?;
let documents = env.create_poly_database(&mut wtxn, Some(DOCUMENTS))?;
wtxn.commit()?;
let list = [
(main, MAIN),
(word_docids, WORD_DOCIDS),
(exact_word_docids, EXACT_WORD_DOCIDS),
(word_prefix_docids, WORD_PREFIX_DOCIDS),
(exact_word_prefix_docids, EXACT_WORD_PREFIX_DOCIDS),
(word_pair_proximity_docids, WORD_PAIR_PROXIMITY_DOCIDS),
(script_language_docids, SCRIPT_LANGUAGE_DOCIDS),
(word_prefix_pair_proximity_docids, WORD_PREFIX_PAIR_PROXIMITY_DOCIDS),
(prefix_word_pair_proximity_docids, PREFIX_WORD_PAIR_PROXIMITY_DOCIDS),
(word_position_docids, WORD_POSITION_DOCIDS),
(word_fid_docids, WORD_FIELD_ID_DOCIDS),
(field_id_word_count_docids, FIELD_ID_WORD_COUNT_DOCIDS),
(word_prefix_position_docids, WORD_PREFIX_POSITION_DOCIDS),
(word_prefix_fid_docids, WORD_PREFIX_FIELD_ID_DOCIDS),
(facet_id_f64_docids, FACET_ID_F64_DOCIDS),
(facet_id_string_docids, FACET_ID_STRING_DOCIDS),
(facet_id_exists_docids, FACET_ID_EXISTS_DOCIDS),
(facet_id_is_null_docids, FACET_ID_IS_NULL_DOCIDS),
(facet_id_is_empty_docids, FACET_ID_IS_EMPTY_DOCIDS),
(field_id_docid_facet_f64s, FIELD_ID_DOCID_FACET_F64S),
(field_id_docid_facet_strings, FIELD_ID_DOCID_FACET_STRINGS),
(documents, DOCUMENTS),
];
let rtxn = env.read_txn()?;
let result: Result<Vec<_>, _> =
list.into_iter().map(|(db, name)| compute_stats(&rtxn, db).map(|s| (s, name))).collect();
let mut stats = result?;
println!("{:1$} Number of Entries", "", graph_radius as usize * 2);
stats.sort_by_key(|(s, _)| Reverse(s.number_of_entries));
let data = compute_graph_data(stats.iter().map(|(s, n)| (s.number_of_entries as f32, *n)));
Chart::new().radius(graph_radius).aspect_ratio(graph_aspect_ratio).draw(&data);
display_legend(&data);
print!("\r\n");
println!("{:1$} Size of Entries", "", graph_radius as usize * 2);
stats.sort_by_key(|(s, _)| Reverse(s.size_of_entries));
let data = compute_graph_data(stats.iter().map(|(s, n)| (s.size_of_entries as f32, *n)));
Chart::new().radius(graph_radius).aspect_ratio(graph_aspect_ratio).draw(&data);
display_legend(&data);
print!("\r\n");
println!("{:1$} Size of Data", "", graph_radius as usize * 2);
stats.sort_by_key(|(s, _)| Reverse(s.size_of_data));
let data = compute_graph_data(stats.iter().map(|(s, n)| (s.size_of_data as f32, *n)));
Chart::new().radius(graph_radius).aspect_ratio(graph_aspect_ratio).draw(&data);
display_legend(&data);
print!("\r\n");
println!("{:1$} Size of Keys", "", graph_radius as usize * 2);
stats.sort_by_key(|(s, _)| Reverse(s.size_of_keys));
let data = compute_graph_data(stats.iter().map(|(s, n)| (s.size_of_keys as f32, *n)));
Chart::new().radius(graph_radius).aspect_ratio(graph_aspect_ratio).draw(&data);
display_legend(&data);
Ok(())
}
fn display_legend(data: &[Data]) {
let total: f32 = data.iter().map(|d| d.value).sum();
for Data { label, value, color, fill } in data {
println!(
"{} {} {:.02}%",
color.unwrap().paint(fill.to_string()),
label,
value / total * 100.0
);
}
}
fn compute_graph_data<'a>(stats: impl IntoIterator<Item = (f32, &'a str)>) -> Vec<Data> {
let mut colors = [
Color::Red,
Color::Green,
Color::Yellow,
Color::Blue,
Color::Purple,
Color::Cyan,
Color::White,
]
.into_iter()
.cycle();
let mut characters = ['▴', '▵', '▾', '▿', '▪', '▫', '•', '◦'].into_iter().cycle();
stats
.into_iter()
.map(|(value, name)| Data {
label: (*name).into(),
value,
color: Some(colors.next().unwrap().into()),
fill: characters.next().unwrap(),
})
.collect()
}
#[derive(Debug)]
pub struct Stats {
pub number_of_entries: u64,
pub size_of_keys: u64,
pub size_of_data: u64,
pub size_of_entries: u64,
}
fn compute_stats(rtxn: &RoTxn, db: PolyDatabase) -> anyhow::Result<Stats> {
let mut number_of_entries = 0;
let mut size_of_keys = 0;
let mut size_of_data = 0;
for result in db.iter::<_, ByteSlice, ByteSlice>(rtxn)? {
let (key, data) = result?;
number_of_entries += 1;
size_of_keys += key.len() as u64;
size_of_data += data.len() as u64;
}
Ok(Stats {
number_of_entries,
size_of_keys,
size_of_data,
size_of_entries: size_of_keys + size_of_data,
})
}

View File

@ -45,11 +45,6 @@ impl AuthController {
self.store.size()
}
/// Return the used size of the `AuthController` database in bytes.
pub fn used_size(&self) -> Result<u64> {
self.store.used_size()
}
pub fn create_key(&self, create_key: CreateApiKey) -> Result<Key> {
match self.store.get_api_key(create_key.uid)? {
Some(_) => Err(AuthControllerError::ApiKeyAlreadyExists(create_key.uid.to_string())),

View File

@ -75,11 +75,6 @@ impl HeedAuthStore {
Ok(self.env.real_disk_size()?)
}
/// Return the number of bytes actually used in the database
pub fn used_size(&self) -> Result<u64> {
Ok(self.env.non_free_pages_size()?)
}
pub fn set_drop_on_close(&mut self, v: bool) {
self.should_close_on_drop = v;
}

View File

@ -175,120 +175,122 @@ macro_rules! make_error_codes {
// An exhaustive list of all the error codes used by meilisearch.
make_error_codes! {
ApiKeyAlreadyExists , InvalidRequest , CONFLICT ;
ApiKeyNotFound , InvalidRequest , NOT_FOUND ;
BadParameter , InvalidRequest , BAD_REQUEST;
BadRequest , InvalidRequest , BAD_REQUEST;
DatabaseSizeLimitReached , Internal , INTERNAL_SERVER_ERROR;
DocumentNotFound , InvalidRequest , NOT_FOUND;
DumpAlreadyProcessing , InvalidRequest , CONFLICT;
DumpNotFound , InvalidRequest , NOT_FOUND;
DumpProcessFailed , Internal , INTERNAL_SERVER_ERROR;
DuplicateIndexFound , InvalidRequest , BAD_REQUEST;
ImmutableApiKeyActions , InvalidRequest , BAD_REQUEST;
ImmutableApiKeyCreatedAt , InvalidRequest , BAD_REQUEST;
ImmutableApiKeyExpiresAt , InvalidRequest , BAD_REQUEST;
ImmutableApiKeyIndexes , InvalidRequest , BAD_REQUEST;
ImmutableApiKeyKey , InvalidRequest , BAD_REQUEST;
ImmutableApiKeyUid , InvalidRequest , BAD_REQUEST;
ImmutableApiKeyUpdatedAt , InvalidRequest , BAD_REQUEST;
ImmutableIndexCreatedAt , InvalidRequest , BAD_REQUEST;
ImmutableIndexUid , InvalidRequest , BAD_REQUEST;
ImmutableIndexUpdatedAt , InvalidRequest , BAD_REQUEST;
IndexAlreadyExists , InvalidRequest , CONFLICT ;
IndexCreationFailed , Internal , INTERNAL_SERVER_ERROR;
IndexNotFound , InvalidRequest , NOT_FOUND;
IndexPrimaryKeyAlreadyExists , InvalidRequest , BAD_REQUEST ;
IndexPrimaryKeyMultipleCandidatesFound, InvalidRequest , BAD_REQUEST;
IndexPrimaryKeyNoCandidateFound , InvalidRequest , BAD_REQUEST ;
Internal , Internal , INTERNAL_SERVER_ERROR ;
InvalidApiKey , Auth , FORBIDDEN ;
InvalidApiKeyActions , InvalidRequest , BAD_REQUEST ;
InvalidApiKeyDescription , InvalidRequest , BAD_REQUEST ;
InvalidApiKeyExpiresAt , InvalidRequest , BAD_REQUEST ;
InvalidApiKeyIndexes , InvalidRequest , BAD_REQUEST ;
InvalidApiKeyLimit , InvalidRequest , BAD_REQUEST ;
InvalidApiKeyName , InvalidRequest , BAD_REQUEST ;
InvalidApiKeyOffset , InvalidRequest , BAD_REQUEST ;
InvalidApiKeyUid , InvalidRequest , BAD_REQUEST ;
InvalidContentType , InvalidRequest , UNSUPPORTED_MEDIA_TYPE ;
InvalidDocumentCsvDelimiter , InvalidRequest , BAD_REQUEST ;
InvalidDocumentFields , InvalidRequest , BAD_REQUEST ;
MissingDocumentFilter , InvalidRequest , BAD_REQUEST ;
InvalidDocumentFilter , InvalidRequest , BAD_REQUEST ;
InvalidDocumentGeoField , InvalidRequest , BAD_REQUEST ;
InvalidDocumentId , InvalidRequest , BAD_REQUEST ;
InvalidDocumentLimit , InvalidRequest , BAD_REQUEST ;
InvalidDocumentOffset , InvalidRequest , BAD_REQUEST ;
InvalidIndexLimit , InvalidRequest , BAD_REQUEST ;
InvalidIndexOffset , InvalidRequest , BAD_REQUEST ;
InvalidIndexPrimaryKey , InvalidRequest , BAD_REQUEST ;
InvalidIndexUid , InvalidRequest , BAD_REQUEST ;
InvalidSearchAttributesToCrop , InvalidRequest , BAD_REQUEST ;
InvalidSearchAttributesToHighlight , InvalidRequest , BAD_REQUEST ;
InvalidSearchAttributesToRetrieve , InvalidRequest , BAD_REQUEST ;
InvalidSearchCropLength , InvalidRequest , BAD_REQUEST ;
InvalidSearchCropMarker , InvalidRequest , BAD_REQUEST ;
InvalidSearchFacets , InvalidRequest , BAD_REQUEST ;
InvalidSearchFilter , InvalidRequest , BAD_REQUEST ;
InvalidSearchHighlightPostTag , InvalidRequest , BAD_REQUEST ;
InvalidSearchHighlightPreTag , InvalidRequest , BAD_REQUEST ;
InvalidSearchHitsPerPage , InvalidRequest , BAD_REQUEST ;
InvalidSearchLimit , InvalidRequest , BAD_REQUEST ;
InvalidSearchMatchingStrategy , InvalidRequest , BAD_REQUEST ;
InvalidSearchOffset , InvalidRequest , BAD_REQUEST ;
InvalidSearchPage , InvalidRequest , BAD_REQUEST ;
InvalidSearchQ , InvalidRequest , BAD_REQUEST ;
InvalidSearchShowMatchesPosition , InvalidRequest , BAD_REQUEST ;
InvalidSearchSort , InvalidRequest , BAD_REQUEST ;
InvalidSettingsDisplayedAttributes , InvalidRequest , BAD_REQUEST ;
InvalidSettingsDistinctAttribute , InvalidRequest , BAD_REQUEST ;
InvalidSettingsFaceting , InvalidRequest , BAD_REQUEST ;
InvalidSettingsFilterableAttributes , InvalidRequest , BAD_REQUEST ;
InvalidSettingsPagination , InvalidRequest , BAD_REQUEST ;
InvalidSettingsRankingRules , InvalidRequest , BAD_REQUEST ;
InvalidSettingsSearchableAttributes , InvalidRequest , BAD_REQUEST ;
InvalidSettingsSortableAttributes , InvalidRequest , BAD_REQUEST ;
InvalidSettingsStopWords , InvalidRequest , BAD_REQUEST ;
InvalidSettingsSynonyms , InvalidRequest , BAD_REQUEST ;
InvalidSettingsTypoTolerance , InvalidRequest , BAD_REQUEST ;
InvalidState , Internal , INTERNAL_SERVER_ERROR ;
InvalidStoreFile , Internal , INTERNAL_SERVER_ERROR ;
InvalidSwapDuplicateIndexFound , InvalidRequest , BAD_REQUEST ;
InvalidSwapIndexes , InvalidRequest , BAD_REQUEST ;
InvalidTaskAfterEnqueuedAt , InvalidRequest , BAD_REQUEST ;
InvalidTaskAfterFinishedAt , InvalidRequest , BAD_REQUEST ;
InvalidTaskAfterStartedAt , InvalidRequest , BAD_REQUEST ;
InvalidTaskBeforeEnqueuedAt , InvalidRequest , BAD_REQUEST ;
InvalidTaskBeforeFinishedAt , InvalidRequest , BAD_REQUEST ;
InvalidTaskBeforeStartedAt , InvalidRequest , BAD_REQUEST ;
InvalidTaskCanceledBy , InvalidRequest , BAD_REQUEST ;
InvalidTaskFrom , InvalidRequest , BAD_REQUEST ;
InvalidTaskLimit , InvalidRequest , BAD_REQUEST ;
InvalidTaskStatuses , InvalidRequest , BAD_REQUEST ;
InvalidTaskTypes , InvalidRequest , BAD_REQUEST ;
InvalidTaskUids , InvalidRequest , BAD_REQUEST ;
IoError , System , UNPROCESSABLE_ENTITY;
MalformedPayload , InvalidRequest , BAD_REQUEST ;
MaxFieldsLimitExceeded , InvalidRequest , BAD_REQUEST ;
MissingApiKeyActions , InvalidRequest , BAD_REQUEST ;
MissingApiKeyExpiresAt , InvalidRequest , BAD_REQUEST ;
MissingApiKeyIndexes , InvalidRequest , BAD_REQUEST ;
MissingAuthorizationHeader , Auth , UNAUTHORIZED ;
MissingContentType , InvalidRequest , UNSUPPORTED_MEDIA_TYPE ;
MissingDocumentId , InvalidRequest , BAD_REQUEST ;
MissingIndexUid , InvalidRequest , BAD_REQUEST ;
MissingMasterKey , Auth , UNAUTHORIZED ;
MissingPayload , InvalidRequest , BAD_REQUEST ;
MissingSwapIndexes , InvalidRequest , BAD_REQUEST ;
MissingTaskFilters , InvalidRequest , BAD_REQUEST ;
NoSpaceLeftOnDevice , System , UNPROCESSABLE_ENTITY;
PayloadTooLarge , InvalidRequest , PAYLOAD_TOO_LARGE ;
TaskNotFound , InvalidRequest , NOT_FOUND ;
TooManyOpenFiles , System , UNPROCESSABLE_ENTITY ;
UnretrievableDocument , Internal , BAD_REQUEST ;
UnretrievableErrorCode , InvalidRequest , BAD_REQUEST ;
UnsupportedMediaType , InvalidRequest , UNSUPPORTED_MEDIA_TYPE
ApiKeyAlreadyExists , InvalidRequest , CONFLICT ;
ApiKeyNotFound , InvalidRequest , NOT_FOUND ;
BadParameter , InvalidRequest , BAD_REQUEST;
BadRequest , InvalidRequest , BAD_REQUEST;
DatabaseSizeLimitReached , Internal , INTERNAL_SERVER_ERROR;
DocumentNotFound , InvalidRequest , NOT_FOUND;
DumpAlreadyProcessing , InvalidRequest , CONFLICT;
DumpNotFound , InvalidRequest , NOT_FOUND;
DumpProcessFailed , Internal , INTERNAL_SERVER_ERROR;
DuplicateIndexFound , InvalidRequest , BAD_REQUEST;
ImmutableApiKeyActions , InvalidRequest , BAD_REQUEST;
ImmutableApiKeyCreatedAt , InvalidRequest , BAD_REQUEST;
ImmutableApiKeyExpiresAt , InvalidRequest , BAD_REQUEST;
ImmutableApiKeyIndexes , InvalidRequest , BAD_REQUEST;
ImmutableApiKeyKey , InvalidRequest , BAD_REQUEST;
ImmutableApiKeyUid , InvalidRequest , BAD_REQUEST;
ImmutableApiKeyUpdatedAt , InvalidRequest , BAD_REQUEST;
ImmutableIndexCreatedAt , InvalidRequest , BAD_REQUEST;
ImmutableIndexUid , InvalidRequest , BAD_REQUEST;
ImmutableIndexUpdatedAt , InvalidRequest , BAD_REQUEST;
IndexAlreadyExists , InvalidRequest , CONFLICT ;
IndexCreationFailed , Internal , INTERNAL_SERVER_ERROR;
IndexNotFound , InvalidRequest , NOT_FOUND;
IndexPrimaryKeyAlreadyExists , InvalidRequest , BAD_REQUEST ;
IndexPrimaryKeyMultipleCandidatesFound , InvalidRequest , BAD_REQUEST;
IndexPrimaryKeyNoCandidateFound , InvalidRequest , BAD_REQUEST ;
Internal , Internal , INTERNAL_SERVER_ERROR ;
InvalidApiKey , Auth , FORBIDDEN ;
InvalidApiKeyActions , InvalidRequest , BAD_REQUEST ;
InvalidApiKeyDescription , InvalidRequest , BAD_REQUEST ;
InvalidApiKeyExpiresAt , InvalidRequest , BAD_REQUEST ;
InvalidApiKeyIndexes , InvalidRequest , BAD_REQUEST ;
InvalidApiKeyLimit , InvalidRequest , BAD_REQUEST ;
InvalidApiKeyName , InvalidRequest , BAD_REQUEST ;
InvalidApiKeyOffset , InvalidRequest , BAD_REQUEST ;
InvalidApiKeyUid , InvalidRequest , BAD_REQUEST ;
InvalidContentType , InvalidRequest , UNSUPPORTED_MEDIA_TYPE ;
InvalidDocumentCsvDelimiter , InvalidRequest , BAD_REQUEST ;
InvalidDocumentFields , InvalidRequest , BAD_REQUEST ;
MissingDocumentFilter , InvalidRequest , BAD_REQUEST ;
InvalidDocumentFilter , InvalidRequest , BAD_REQUEST ;
InvalidDocumentGeoField , InvalidRequest , BAD_REQUEST ;
InvalidDocumentId , InvalidRequest , BAD_REQUEST ;
InvalidDocumentLimit , InvalidRequest , BAD_REQUEST ;
InvalidDocumentOffset , InvalidRequest , BAD_REQUEST ;
InvalidIndexLimit , InvalidRequest , BAD_REQUEST ;
InvalidIndexOffset , InvalidRequest , BAD_REQUEST ;
InvalidIndexPrimaryKey , InvalidRequest , BAD_REQUEST ;
InvalidIndexUid , InvalidRequest , BAD_REQUEST ;
InvalidSearchAttributesToCrop , InvalidRequest , BAD_REQUEST ;
InvalidSearchAttributesToHighlight , InvalidRequest , BAD_REQUEST ;
InvalidSearchAttributesToRetrieve , InvalidRequest , BAD_REQUEST ;
InvalidSearchCropLength , InvalidRequest , BAD_REQUEST ;
InvalidSearchCropMarker , InvalidRequest , BAD_REQUEST ;
InvalidSearchFacets , InvalidRequest , BAD_REQUEST ;
InvalidSearchFilter , InvalidRequest , BAD_REQUEST ;
InvalidSearchHighlightPostTag , InvalidRequest , BAD_REQUEST ;
InvalidSearchHighlightPreTag , InvalidRequest , BAD_REQUEST ;
InvalidSearchHitsPerPage , InvalidRequest , BAD_REQUEST ;
InvalidSearchLimit , InvalidRequest , BAD_REQUEST ;
InvalidSearchMatchingStrategy , InvalidRequest , BAD_REQUEST ;
InvalidSearchOffset , InvalidRequest , BAD_REQUEST ;
InvalidSearchPage , InvalidRequest , BAD_REQUEST ;
InvalidSearchQ , InvalidRequest , BAD_REQUEST ;
InvalidSearchShowMatchesPosition , InvalidRequest , BAD_REQUEST ;
InvalidSearchSort , InvalidRequest , BAD_REQUEST ;
InvalidSettingsDisplayedAttributes , InvalidRequest , BAD_REQUEST ;
InvalidSettingsDistinctAttribute , InvalidRequest , BAD_REQUEST ;
InvalidSettingsFilterableAttributes , InvalidRequest , BAD_REQUEST ;
InvalidSettingsPagination , InvalidRequest , BAD_REQUEST ;
InvalidSettingsRankingRules , InvalidRequest , BAD_REQUEST ;
InvalidSettingsSearchableAttributes , InvalidRequest , BAD_REQUEST ;
InvalidSettingsSortableAttributes , InvalidRequest , BAD_REQUEST ;
InvalidSettingsStopWords , InvalidRequest , BAD_REQUEST ;
InvalidSettingsSynonyms , InvalidRequest , BAD_REQUEST ;
InvalidSettingsTypoTolerance , InvalidRequest , BAD_REQUEST ;
InvalidSettingsFaceting , InvalidRequest , BAD_REQUEST ;
InvalidSettingsFacetingMaxValuesPerFacet , InvalidRequest , BAD_REQUEST ;
InvalidSettingsFacetingSortFacetValuesBy , InvalidRequest , BAD_REQUEST ;
InvalidState , Internal , INTERNAL_SERVER_ERROR ;
InvalidStoreFile , Internal , INTERNAL_SERVER_ERROR ;
InvalidSwapDuplicateIndexFound , InvalidRequest , BAD_REQUEST ;
InvalidSwapIndexes , InvalidRequest , BAD_REQUEST ;
InvalidTaskAfterEnqueuedAt , InvalidRequest , BAD_REQUEST ;
InvalidTaskAfterFinishedAt , InvalidRequest , BAD_REQUEST ;
InvalidTaskAfterStartedAt , InvalidRequest , BAD_REQUEST ;
InvalidTaskBeforeEnqueuedAt , InvalidRequest , BAD_REQUEST ;
InvalidTaskBeforeFinishedAt , InvalidRequest , BAD_REQUEST ;
InvalidTaskBeforeStartedAt , InvalidRequest , BAD_REQUEST ;
InvalidTaskCanceledBy , InvalidRequest , BAD_REQUEST ;
InvalidTaskFrom , InvalidRequest , BAD_REQUEST ;
InvalidTaskLimit , InvalidRequest , BAD_REQUEST ;
InvalidTaskStatuses , InvalidRequest , BAD_REQUEST ;
InvalidTaskTypes , InvalidRequest , BAD_REQUEST ;
InvalidTaskUids , InvalidRequest , BAD_REQUEST ;
IoError , System , UNPROCESSABLE_ENTITY;
MalformedPayload , InvalidRequest , BAD_REQUEST ;
MaxFieldsLimitExceeded , InvalidRequest , BAD_REQUEST ;
MissingApiKeyActions , InvalidRequest , BAD_REQUEST ;
MissingApiKeyExpiresAt , InvalidRequest , BAD_REQUEST ;
MissingApiKeyIndexes , InvalidRequest , BAD_REQUEST ;
MissingAuthorizationHeader , Auth , UNAUTHORIZED ;
MissingContentType , InvalidRequest , UNSUPPORTED_MEDIA_TYPE ;
MissingDocumentId , InvalidRequest , BAD_REQUEST ;
MissingIndexUid , InvalidRequest , BAD_REQUEST ;
MissingMasterKey , Auth , UNAUTHORIZED ;
MissingPayload , InvalidRequest , BAD_REQUEST ;
MissingSwapIndexes , InvalidRequest , BAD_REQUEST ;
MissingTaskFilters , InvalidRequest , BAD_REQUEST ;
NoSpaceLeftOnDevice , System , UNPROCESSABLE_ENTITY;
PayloadTooLarge , InvalidRequest , PAYLOAD_TOO_LARGE ;
TaskNotFound , InvalidRequest , NOT_FOUND ;
TooManyOpenFiles , System , UNPROCESSABLE_ENTITY ;
UnretrievableDocument , Internal , BAD_REQUEST ;
UnretrievableErrorCode , InvalidRequest , BAD_REQUEST ;
UnsupportedMediaType , InvalidRequest , UNSUPPORTED_MEDIA_TYPE
}
impl ErrorCode for JoinError {

View File

@ -0,0 +1,33 @@
use deserr::Deserr;
use milli::OrderBy;
use serde::{Deserialize, Serialize};
#[derive(Debug, Default, Copy, Clone, PartialEq, Eq, Serialize, Deserialize, Deserr)]
#[serde(rename_all = "camelCase")]
#[deserr(rename_all = camelCase)]
pub enum FacetValuesSort {
/// Facet values are sorted in alphabetical order, ascending from A to Z.
#[default]
Alpha,
/// Facet values are sorted by decreasing count.
/// The count is the number of records containing this facet value in the results of the query.
Count,
}
impl From<FacetValuesSort> for OrderBy {
fn from(val: FacetValuesSort) -> Self {
match val {
FacetValuesSort::Alpha => OrderBy::Lexicographic,
FacetValuesSort::Count => OrderBy::Count,
}
}
}
impl From<OrderBy> for FacetValuesSort {
fn from(val: OrderBy) -> Self {
match val {
OrderBy::Lexicographic => FacetValuesSort::Alpha,
OrderBy::Count => FacetValuesSort::Count,
}
}
}

View File

@ -2,6 +2,7 @@ pub mod compression;
pub mod deserr;
pub mod document_formats;
pub mod error;
pub mod facet_values_sort;
pub mod index_uid;
pub mod index_uid_pattern;
pub mod keys;

View File

@ -14,6 +14,7 @@ use serde::{Deserialize, Serialize, Serializer};
use crate::deserr::DeserrJsonError;
use crate::error::deserr_codes::*;
use crate::facet_values_sort::FacetValuesSort;
/// The maximimum number of results that the engine
/// will be able to return in one search call.
@ -97,11 +98,14 @@ pub struct TypoSettings {
#[derive(Debug, Clone, Default, Serialize, Deserialize, PartialEq, Eq, Deserr)]
#[serde(deny_unknown_fields, rename_all = "camelCase")]
#[deserr(rename_all = camelCase, deny_unknown_fields)]
#[deserr(deny_unknown_fields, rename_all = camelCase, where_predicate = __Deserr_E: deserr::MergeWithError<DeserrJsonError<InvalidSettingsFaceting>> + deserr::MergeWithError<DeserrJsonError<InvalidSettingsFacetingMaxValuesPerFacet>> + deserr::MergeWithError<DeserrJsonError<InvalidSettingsFacetingSortFacetValuesBy>>)]
pub struct FacetingSettings {
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default)]
#[deserr(default, error = DeserrJsonError<InvalidSettingsFacetingMaxValuesPerFacet>)]
pub max_values_per_facet: Setting<usize>,
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default, error = DeserrJsonError<InvalidSettingsFacetingSortFacetValuesBy>)]
pub sort_facet_values_by: Setting<BTreeMap<String, FacetValuesSort>>,
}
#[derive(Debug, Clone, Default, Serialize, Deserialize, PartialEq, Eq, Deserr)]
@ -398,12 +402,21 @@ pub fn apply_settings_to_builder(
Setting::NotSet => (),
}
match settings.faceting {
Setting::Set(ref value) => match value.max_values_per_facet {
Setting::Set(val) => builder.set_max_values_per_facet(val),
Setting::Reset => builder.reset_max_values_per_facet(),
Setting::NotSet => (),
},
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),
Setting::Reset => builder.reset_max_values_per_facet(),
Setting::NotSet => (),
}
match sort_facet_values_by {
Setting::Set(val) => builder.set_sort_facet_values_by(
val.iter().map(|(name, order)| (name.clone(), (*order).into())).collect(),
),
Setting::Reset => builder.reset_sort_facet_values_by(),
Setting::NotSet => (),
}
}
Setting::Reset => builder.reset_max_values_per_facet(),
Setting::NotSet => (),
}
@ -476,6 +489,13 @@ pub fn settings(
max_values_per_facet: Setting::Set(
index.max_values_per_facet(rtxn)?.unwrap_or(DEFAULT_VALUES_PER_FACET),
),
sort_facet_values_by: Setting::Set(
index
.sort_facet_values_by(rtxn)?
.into_iter()
.map(|(name, sort)| (name, sort.into()))
.collect(),
),
};
let pagination = PaginationSettings {

View File

@ -395,6 +395,7 @@ impl std::error::Error for ParseTaskStatusError {}
pub enum Kind {
DocumentAdditionOrUpdate,
DocumentDeletion,
DocumentDeletionByFilter,
SettingsUpdate,
IndexCreation,
IndexDeletion,
@ -411,6 +412,7 @@ impl Kind {
match self {
Kind::DocumentAdditionOrUpdate
| Kind::DocumentDeletion
| Kind::DocumentDeletionByFilter
| Kind::SettingsUpdate
| Kind::IndexCreation
| Kind::IndexDeletion
@ -428,6 +430,7 @@ impl Display for Kind {
match self {
Kind::DocumentAdditionOrUpdate => write!(f, "documentAdditionOrUpdate"),
Kind::DocumentDeletion => write!(f, "documentDeletion"),
Kind::DocumentDeletionByFilter => write!(f, "documentDeletionByFilter"),
Kind::SettingsUpdate => write!(f, "settingsUpdate"),
Kind::IndexCreation => write!(f, "indexCreation"),
Kind::IndexDeletion => write!(f, "indexDeletion"),

View File

@ -14,14 +14,27 @@ default-run = "meilisearch"
[dependencies]
actix-cors = "0.6.4"
actix-http = { version = "3.3.1", default-features = false, features = ["compress-brotli", "compress-gzip", "rustls"] }
actix-web = { version = "4.3.1", default-features = false, features = ["macros", "compress-brotli", "compress-gzip", "cookies", "rustls"] }
actix-http = { version = "3.3.1", default-features = false, features = [
"compress-brotli",
"compress-gzip",
"rustls",
] }
actix-web = { version = "4.3.1", default-features = false, features = [
"macros",
"compress-brotli",
"compress-gzip",
"cookies",
"rustls",
] }
actix-web-static-files = { git = "https://github.com/kilork/actix-web-static-files.git", rev = "2d3b6160", optional = true }
anyhow = { version = "1.0.70", features = ["backtrace"] }
async-stream = "0.3.5"
async-trait = "0.1.68"
bstr = "1.4.0"
byte-unit = { version = "4.0.19", default-features = false, features = ["std", "serde"] }
byte-unit = { version = "4.0.19", default-features = false, features = [
"std",
"serde",
] }
bytes = "1.4.0"
clap = { version = "4.2.1", features = ["derive", "env"] }
crossbeam-channel = "0.5.8"
@ -56,7 +69,10 @@ prometheus = { version = "0.13.3", features = ["process"] }
rand = "0.8.5"
rayon = "1.7.0"
regex = "1.7.3"
reqwest = { version = "0.11.16", features = ["rustls-tls", "json"], default-features = false }
reqwest = { version = "0.11.16", features = [
"rustls-tls",
"json",
], default-features = false }
rustls = "0.20.8"
rustls-pemfile = "1.0.2"
segment = { version = "0.2.2", optional = true }
@ -70,7 +86,12 @@ sysinfo = "0.28.4"
tar = "0.4.38"
tempfile = "3.5.0"
thiserror = "1.0.40"
time = { version = "0.3.20", features = ["serde-well-known", "formatting", "parsing", "macros"] }
time = { version = "0.3.20", features = [
"serde-well-known",
"formatting",
"parsing",
"macros",
] }
tokio = { version = "1.27.0", features = ["full"] }
tokio-stream = "0.1.12"
toml = "0.7.3"
@ -89,7 +110,7 @@ brotli = "3.3.4"
insta = "1.29.0"
manifest-dir-macros = "0.1.16"
maplit = "1.0.2"
meili-snap = {path = "../meili-snap"}
meili-snap = { path = "../meili-snap" }
temp-env = "0.3.3"
urlencoding = "2.1.2"
yaup = "0.2.1"
@ -98,7 +119,10 @@ yaup = "0.2.1"
anyhow = { version = "1.0.70", optional = true }
cargo_toml = { version = "0.15.2", optional = true }
hex = { version = "0.4.3", optional = true }
reqwest = { version = "0.11.16", features = ["blocking", "rustls-tls"], default-features = false, optional = true }
reqwest = { version = "0.11.16", features = [
"blocking",
"rustls-tls",
], default-features = false, optional = true }
sha-1 = { version = "0.10.1", optional = true }
static-files = { version = "0.2.3", optional = true }
tempfile = { version = "3.5.0", optional = true }
@ -108,7 +132,17 @@ zip = { version = "0.6.4", optional = true }
[features]
default = ["analytics", "meilisearch-types/all-tokenizations", "mini-dashboard"]
analytics = ["segment"]
mini-dashboard = ["actix-web-static-files", "static-files", "anyhow", "cargo_toml", "hex", "reqwest", "sha-1", "tempfile", "zip"]
mini-dashboard = [
"actix-web-static-files",
"static-files",
"anyhow",
"cargo_toml",
"hex",
"reqwest",
"sha-1",
"tempfile",
"zip",
]
chinese = ["meilisearch-types/chinese"]
hebrew = ["meilisearch-types/hebrew"]
japanese = ["meilisearch-types/japanese"]

View File

@ -4,32 +4,20 @@ 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()
}
const HTTP_RESPONSE_TIME_CUSTOM_BUCKETS: &[f64; 14] = &[
0.0005, 0.0008, 0.00085, 0.0009, 0.00095, 0.001, 0.00105, 0.0011, 0.00115, 0.0012, 0.0015,
0.002, 0.003, 1.0,
];
lazy_static! {
pub static ref 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"),
pub static ref HTTP_REQUESTS_TOTAL: IntCounterVec = register_int_counter_vec!(
opts!("http_requests_total", "HTTP requests total"),
&["method", "path"]
)
.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"))
register_int_gauge!(opts!("meilisearch_db_size_bytes", "Meilisearch Db Size In Bytes"))
.expect("Can't create a metric");
pub static ref MEILISEARCH_USED_DB_SIZE_BYTES: IntGauge = register_int_gauge!(opts!(
"meilisearch_used_db_size_bytes",
"Meilisearch Used DB Size In Bytes"
))
.expect("Can't create a metric");
pub static ref MEILISEARCH_INDEX_COUNT: IntGauge =
register_int_gauge!(opts!("meilisearch_index_count", "Meilisearch Index Count"))
.expect("Can't create a metric");
@ -38,16 +26,11 @@ lazy_static! {
&["index"]
)
.expect("Can't create a metric");
pub static ref MEILISEARCH_HTTP_RESPONSE_TIME_SECONDS: HistogramVec = register_histogram_vec!(
pub static ref HTTP_RESPONSE_TIME_SECONDS: HistogramVec = register_histogram_vec!(
"http_response_time_seconds",
"HTTP response times",
&["method", "path"],
HTTP_RESPONSE_TIME_CUSTOM_BUCKETS.to_vec()
)
.expect("Can't create a metric");
pub static ref MEILISEARCH_NB_TASKS: IntGaugeVec = register_int_gauge_vec!(
opts!("meilisearch_nb_tasks", "Meilisearch Number of tasks"),
&["kind", "value"]
)
.expect("Can't create a metric");
}

View File

@ -52,11 +52,11 @@ where
if is_registered_resource {
let request_method = req.method().to_string();
histogram_timer = Some(
crate::metrics::MEILISEARCH_HTTP_RESPONSE_TIME_SECONDS
crate::metrics::HTTP_RESPONSE_TIME_SECONDS
.with_label_values(&[&request_method, request_path])
.start_timer(),
);
crate::metrics::MEILISEARCH_HTTP_REQUESTS_TOTAL
crate::metrics::HTTP_REQUESTS_TOTAL
.with_label_values(&[&request_method, request_path])
.inc();
}

View File

@ -407,6 +407,7 @@ make_setting_route!(
json!({
"faceting": {
"max_values_per_facet": setting.as_ref().and_then(|s| s.max_values_per_facet.set()),
"sort_facet_values_by": setting.as_ref().and_then(|s| s.sort_facet_values_by.clone().set()),
},
}),
Some(req),
@ -545,6 +546,10 @@ pub async fn update_all(
.as_ref()
.set()
.and_then(|s| s.max_values_per_facet.as_ref().set()),
"sort_facet_values_by": new_settings.faceting
.as_ref()
.set()
.and_then(|s| s.sort_facet_values_by.as_ref().set()),
},
"pagination": {
"max_total_hits": new_settings.pagination

View File

@ -17,7 +17,7 @@ pub fn configure(config: &mut web::ServiceConfig) {
pub async fn get_metrics(
index_scheduler: GuardedData<ActionPolicy<{ actions::METRICS_GET }>, Data<IndexScheduler>>,
auth_controller: Data<AuthController>,
auth_controller: GuardedData<ActionPolicy<{ actions::METRICS_GET }>, Data<AuthController>>,
) -> Result<HttpResponse, ResponseError> {
let auth_filters = index_scheduler.filters();
if !auth_filters.all_indexes_authorized() {
@ -28,10 +28,10 @@ pub async fn get_metrics(
return Err(error);
}
let response = create_all_stats((*index_scheduler).clone(), auth_controller, auth_filters)?;
let response =
create_all_stats((*index_scheduler).clone(), (*auth_controller).clone(), auth_filters)?;
crate::metrics::MEILISEARCH_DB_SIZE_BYTES.set(response.database_size as i64);
crate::metrics::MEILISEARCH_USED_DB_SIZE_BYTES.set(response.used_database_size as i64);
crate::metrics::MEILISEARCH_INDEX_COUNT.set(response.indexes.len() as i64);
for (index, value) in response.indexes.iter() {
@ -40,14 +40,6 @@ pub async fn get_metrics(
.set(value.number_of_documents as i64);
}
for (kind, value) in index_scheduler.get_stats()? {
for (value, count) in value {
crate::metrics::MEILISEARCH_NB_TASKS
.with_label_values(&[&kind, &value])
.set(count as i64);
}
}
let encoder = TextEncoder::new();
let mut buffer = vec![];
encoder.encode(&prometheus::gather(), &mut buffer).expect("Failed to encode metrics");

View File

@ -231,8 +231,6 @@ pub async fn running() -> HttpResponse {
#[serde(rename_all = "camelCase")]
pub struct Stats {
pub database_size: u64,
#[serde(skip)]
pub used_database_size: u64,
#[serde(serialize_with = "time::serde::rfc3339::option::serialize")]
pub last_update: Option<OffsetDateTime>,
pub indexes: BTreeMap<String, indexes::IndexStats>,
@ -261,7 +259,6 @@ pub fn create_all_stats(
let mut last_task: Option<OffsetDateTime> = None;
let mut indexes = BTreeMap::new();
let mut database_size = 0;
let mut used_database_size = 0;
for index_uid in index_scheduler.index_names()? {
// Accumulate the size of all indexes, even unauthorized ones, so
@ -269,7 +266,6 @@ pub fn create_all_stats(
// See <https://github.com/meilisearch/meilisearch/pull/3541#discussion_r1126747643> for context.
let stats = index_scheduler.index_stats(&index_uid)?;
database_size += stats.inner_stats.database_size;
used_database_size += stats.inner_stats.used_database_size;
if !filters.is_index_authorized(&index_uid) {
continue;
@ -282,14 +278,10 @@ pub fn create_all_stats(
}
database_size += index_scheduler.size()?;
used_database_size += index_scheduler.used_size()?;
database_size += auth_controller.size()?;
used_database_size += auth_controller.used_size()?;
let update_file_size = index_scheduler.compute_update_file_size()?;
database_size += update_file_size;
used_database_size += update_file_size;
database_size += index_scheduler.compute_update_file_size()?;
let stats = Stats { database_size, used_database_size, last_update: last_task, indexes };
let stats = Stats { database_size, last_update: last_task, indexes };
Ok(stats)
}

View File

@ -730,7 +730,7 @@ mod tests {
let err = deserr_query_params::<TaskDeletionOrCancelationQuery>(params).unwrap_err();
snapshot!(meili_snap::json_string!(err), @r###"
{
"message": "Invalid value in parameter `types`: `createIndex` is not a valid task type. Available types are `documentAdditionOrUpdate`, `documentDeletion`, `settingsUpdate`, `indexCreation`, `indexDeletion`, `indexUpdate`, `indexSwap`, `taskCancelation`, `taskDeletion`, `dumpCreation`, `snapshotCreation`.",
"message": "Invalid value in parameter `types`: `createIndex` is not a valid task type. Available types are `documentAdditionOrUpdate`, `documentDeletion`, `documentDeletionByFilter`, `settingsUpdate`, `indexCreation`, `indexDeletion`, `indexUpdate`, `indexSwap`, `taskCancelation`, `taskDeletion`, `dumpCreation`, `snapshotCreation`.",
"code": "invalid_task_types",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#invalid_task_types"

View File

@ -5,6 +5,7 @@ use std::time::Instant;
use deserr::Deserr;
use either::Either;
use indexmap::IndexMap;
use meilisearch_auth::IndexSearchRules;
use meilisearch_types::deserr::DeserrJsonError;
use meilisearch_types::error::deserr_codes::*;
@ -213,7 +214,7 @@ pub struct SearchResult {
#[serde(flatten)]
pub hits_info: HitsInfo,
#[serde(skip_serializing_if = "Option::is_none")]
pub facet_distribution: Option<BTreeMap<String, BTreeMap<String, u64>>>,
pub facet_distribution: Option<BTreeMap<String, IndexMap<String, u64>>>,
#[serde(skip_serializing_if = "Option::is_none")]
pub facet_stats: Option<BTreeMap<String, FacetStats>>,
}
@ -448,10 +449,30 @@ pub fn perform_search(
.unwrap_or(DEFAULT_VALUES_PER_FACET);
facet_distribution.max_values_per_facet(max_values_by_facet);
let sort_facet_values_by =
index.sort_facet_values_by(&rtxn).map_err(milli::Error::from)?;
let default_sort_facet_values_by =
sort_facet_values_by.get("*").copied().unwrap_or_default();
if fields.iter().all(|f| f != "*") {
let fields: Vec<_> = fields
.into_iter()
.map(|n| {
(
n,
sort_facet_values_by
.get(n)
.copied()
.unwrap_or(default_sort_facet_values_by),
)
})
.collect();
facet_distribution.facets(fields);
}
let distribution = facet_distribution.candidates(candidates).execute()?;
let distribution = facet_distribution
.candidates(candidates)
.default_order_by(default_sort_facet_values_by)
.execute()?;
let stats = facet_distribution.compute_stats()?;
(Some(distribution), Some(stats))
}

View File

@ -97,7 +97,7 @@ async fn task_bad_types() {
snapshot!(code, @"400 Bad Request");
snapshot!(json_string!(response), @r###"
{
"message": "Invalid value in parameter `types`: `doggo` is not a valid task type. Available types are `documentAdditionOrUpdate`, `documentDeletion`, `settingsUpdate`, `indexCreation`, `indexDeletion`, `indexUpdate`, `indexSwap`, `taskCancelation`, `taskDeletion`, `dumpCreation`, `snapshotCreation`.",
"message": "Invalid value in parameter `types`: `doggo` is not a valid task type. Available types are `documentAdditionOrUpdate`, `documentDeletion`, `documentDeletionByFilter`, `settingsUpdate`, `indexCreation`, `indexDeletion`, `indexUpdate`, `indexSwap`, `taskCancelation`, `taskDeletion`, `dumpCreation`, `snapshotCreation`.",
"code": "invalid_task_types",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#invalid_task_types"
@ -108,7 +108,7 @@ async fn task_bad_types() {
snapshot!(code, @"400 Bad Request");
snapshot!(json_string!(response), @r###"
{
"message": "Invalid value in parameter `types`: `doggo` is not a valid task type. Available types are `documentAdditionOrUpdate`, `documentDeletion`, `settingsUpdate`, `indexCreation`, `indexDeletion`, `indexUpdate`, `indexSwap`, `taskCancelation`, `taskDeletion`, `dumpCreation`, `snapshotCreation`.",
"message": "Invalid value in parameter `types`: `doggo` is not a valid task type. Available types are `documentAdditionOrUpdate`, `documentDeletion`, `documentDeletionByFilter`, `settingsUpdate`, `indexCreation`, `indexDeletion`, `indexUpdate`, `indexSwap`, `taskCancelation`, `taskDeletion`, `dumpCreation`, `snapshotCreation`.",
"code": "invalid_task_types",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#invalid_task_types"
@ -119,7 +119,7 @@ async fn task_bad_types() {
snapshot!(code, @"400 Bad Request");
snapshot!(json_string!(response), @r###"
{
"message": "Invalid value in parameter `types`: `doggo` is not a valid task type. Available types are `documentAdditionOrUpdate`, `documentDeletion`, `settingsUpdate`, `indexCreation`, `indexDeletion`, `indexUpdate`, `indexSwap`, `taskCancelation`, `taskDeletion`, `dumpCreation`, `snapshotCreation`.",
"message": "Invalid value in parameter `types`: `doggo` is not a valid task type. Available types are `documentAdditionOrUpdate`, `documentDeletion`, `documentDeletionByFilter`, `settingsUpdate`, `indexCreation`, `indexDeletion`, `indexUpdate`, `indexSwap`, `taskCancelation`, `taskDeletion`, `dumpCreation`, `snapshotCreation`.",
"code": "invalid_task_types",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#invalid_task_types"

View File

@ -32,6 +32,7 @@ heed = { git = "https://github.com/meilisearch/heed", tag = "v0.12.6", default-f
"lmdb",
"sync-read-txn",
] }
indexmap = { version = "1.9.3", features = ["serde"] }
json-depth-checker = { path = "../json-depth-checker" }
levenshtein_automata = { version = "0.2.1", features = ["fst_automaton"] }
memmap2 = "0.5.10"
@ -75,6 +76,9 @@ maplit = "1.0.2"
md5 = "0.7.0"
rand = { version = "0.8.5", features = ["small_rng"] }
[target.'cfg(fuzzing)'.dev-dependencies]
fuzzcheck = "0.12.1"
[features]
all-tokenizations = ["charabia/default"]

View File

@ -111,6 +111,7 @@ pub enum Error {
Io(#[from] io::Error),
}
#[cfg(test)]
pub fn objects_from_json_value(json: serde_json::Value) -> Vec<crate::Object> {
let documents = match json {
object @ serde_json::Value::Object(_) => vec![object],
@ -140,6 +141,7 @@ macro_rules! documents {
}};
}
#[cfg(test)]
pub fn documents_batch_reader_from_objects(
objects: impl IntoIterator<Item = Object>,
) -> DocumentsBatchReader<std::io::Cursor<Vec<u8>>> {

View File

@ -106,30 +106,22 @@ impl<'a> ExternalDocumentsIds<'a> {
map
}
/// Return an fst of the combined hard and soft deleted ID.
pub fn to_fst<'b>(&'b self) -> fst::Result<Cow<'b, fst::Map<Cow<'a, [u8]>>>> {
if self.soft.is_empty() {
return Ok(Cow::Borrowed(&self.hard));
}
let union_op = self.hard.op().add(&self.soft).r#union();
let mut iter = union_op.into_stream();
let mut new_hard_builder = fst::MapBuilder::memory();
while let Some((external_id, marked_docids)) = iter.next() {
let value = indexed_last_value(marked_docids).unwrap();
if value != DELETED_ID {
new_hard_builder.insert(external_id, value)?;
}
}
drop(iter);
Ok(Cow::Owned(new_hard_builder.into_map().map_data(Cow::Owned)?))
}
fn merge_soft_into_hard(&mut self) -> fst::Result<()> {
if self.soft.len() >= self.hard.len() / 2 {
self.hard = self.to_fst()?.into_owned();
let union_op = self.hard.op().add(&self.soft).r#union();
let mut iter = union_op.into_stream();
let mut new_hard_builder = fst::MapBuilder::memory();
while let Some((external_id, marked_docids)) = iter.next() {
let value = indexed_last_value(marked_docids).unwrap();
if value != DELETED_ID {
new_hard_builder.insert(external_id, value)?;
}
}
drop(iter);
self.hard = new_hard_builder.into_map().map_data(Cow::Owned)?;
self.soft = fst::Map::default().map_data(Cow::Owned)?;
}

View File

@ -49,7 +49,7 @@ impl CboRoaringBitmapCodec {
} else {
// Otherwise, it means we used the classic RoaringBitmapCodec and
// that the header takes threshold integers.
RoaringBitmap::deserialize_unchecked_from(bytes)
RoaringBitmap::deserialize_from(bytes)
}
}
@ -69,7 +69,7 @@ impl CboRoaringBitmapCodec {
vec.push(integer);
}
} else {
roaring |= RoaringBitmap::deserialize_unchecked_from(bytes.as_ref())?;
roaring |= RoaringBitmap::deserialize_from(bytes.as_ref())?;
}
}

View File

@ -8,7 +8,7 @@ impl heed::BytesDecode<'_> for RoaringBitmapCodec {
type DItem = RoaringBitmap;
fn bytes_decode(bytes: &[u8]) -> Option<Self::DItem> {
RoaringBitmap::deserialize_unchecked_from(bytes).ok()
RoaringBitmap::deserialize_from(bytes).ok()
}
}

View File

@ -21,9 +21,10 @@ use crate::heed_codec::facet::{
};
use crate::heed_codec::{ScriptLanguageCodec, StrBEU16Codec, StrRefCodec};
use crate::{
default_criteria, CboRoaringBitmapCodec, Criterion, DocumentId, ExternalDocumentsIds,
FacetDistribution, FieldDistribution, FieldId, FieldIdWordCountCodec, GeoPoint, ObkvCodec,
Result, RoaringBitmapCodec, RoaringBitmapLenCodec, Search, U8StrStrCodec, BEU16, BEU32,
default_criteria, BEU32StrCodec, BoRoaringBitmapCodec, CboRoaringBitmapCodec, Criterion,
DocumentId, ExternalDocumentsIds, FacetDistribution, FieldDistribution, FieldId,
FieldIdWordCountCodec, GeoPoint, ObkvCodec, OrderBy, Result, RoaringBitmapCodec,
RoaringBitmapLenCodec, Search, U8StrStrCodec, BEU16, BEU32,
};
pub const DEFAULT_MIN_WORD_LEN_ONE_TYPO: u8 = 5;
@ -61,6 +62,7 @@ pub mod main_key {
pub const EXACT_WORDS: &str = "exact-words";
pub const EXACT_ATTRIBUTES: &str = "exact-attributes";
pub const MAX_VALUES_PER_FACET: &str = "max-values-per-facet";
pub const SORT_FACET_VALUES_BY: &str = "sort-facet-values-by";
pub const PAGINATION_MAX_TOTAL_HITS: &str = "pagination-max-total-hits";
}
@ -93,10 +95,10 @@ pub mod db_name {
#[derive(Clone)]
pub struct Index {
/// The LMDB environment which this index is associated with.
pub env: heed::Env,
pub(crate) env: heed::Env,
/// Contains many different types (e.g. the fields ids map).
pub main: PolyDatabase,
pub(crate) main: PolyDatabase,
/// A word and all the documents ids containing the word.
pub word_docids: Database<Str, RoaringBitmapCodec>,
@ -110,6 +112,9 @@ pub struct Index {
/// A prefix of word and all the documents ids containing this prefix, from attributes for which typos are not allowed.
pub exact_word_prefix_docids: Database<Str, RoaringBitmapCodec>,
/// Maps a word and a document id (u32) to all the positions where the given word appears.
pub docid_word_positions: Database<BEU32StrCodec, BoRoaringBitmapCodec>,
/// Maps the proximity between a pair of words with all the docids where this relation appears.
pub word_pair_proximity_docids: Database<U8StrStrCodec, CboRoaringBitmapCodec>,
/// Maps the proximity between a pair of word and prefix with all the docids where this relation appears.
@ -150,7 +155,7 @@ pub struct Index {
pub field_id_docid_facet_strings: Database<FieldDocIdFacetStringCodec, Str>,
/// Maps the document id to the document as an obkv store.
pub documents: Database<OwnedType<BEU32>, ObkvCodec>,
pub(crate) documents: Database<OwnedType<BEU32>, ObkvCodec>,
}
impl Index {
@ -173,6 +178,7 @@ impl Index {
let word_prefix_docids = env.create_database(&mut wtxn, Some(WORD_PREFIX_DOCIDS))?;
let exact_word_prefix_docids =
env.create_database(&mut wtxn, Some(EXACT_WORD_PREFIX_DOCIDS))?;
let docid_word_positions = env.create_database(&mut wtxn, Some(DOCID_WORD_POSITIONS))?;
let word_pair_proximity_docids =
env.create_database(&mut wtxn, Some(WORD_PAIR_PROXIMITY_DOCIDS))?;
let script_language_docids =
@ -215,6 +221,7 @@ impl Index {
exact_word_docids,
word_prefix_docids,
exact_word_prefix_docids,
docid_word_positions,
word_pair_proximity_docids,
script_language_docids,
word_prefix_pair_proximity_docids,
@ -1228,6 +1235,31 @@ impl Index {
self.main.delete::<_, Str>(txn, main_key::MAX_VALUES_PER_FACET)
}
pub fn sort_facet_values_by(&self, txn: &RoTxn) -> heed::Result<HashMap<String, OrderBy>> {
let mut orders = self
.main
.get::<_, Str, SerdeJson<HashMap<String, OrderBy>>>(
txn,
main_key::SORT_FACET_VALUES_BY,
)?
.unwrap_or_default();
// Insert the default ordering if it is not already overwritten by the user.
orders.entry("*".to_string()).or_insert(OrderBy::Lexicographic);
Ok(orders)
}
pub(crate) fn put_sort_facet_values_by(
&self,
txn: &mut RwTxn,
val: &HashMap<String, OrderBy>,
) -> heed::Result<()> {
self.main.put::<_, Str, SerdeJson<_>>(txn, main_key::SORT_FACET_VALUES_BY, &val)
}
pub(crate) fn delete_sort_facet_values_by(&self, txn: &mut RwTxn) -> heed::Result<bool> {
self.main.delete::<_, Str>(txn, main_key::SORT_FACET_VALUES_BY)
}
pub fn pagination_max_total_hits(&self, txn: &RoTxn) -> heed::Result<Option<usize>> {
self.main.get::<_, Str, OwnedType<usize>>(txn, main_key::PAGINATION_MAX_TOTAL_HITS)
}
@ -1466,9 +1498,9 @@ pub(crate) mod tests {
db_snap!(index, field_distribution,
@r###"
age 1 |
id 2 |
name 2 |
age 1
id 2
name 2
"###
);
@ -1486,9 +1518,9 @@ pub(crate) mod tests {
db_snap!(index, field_distribution,
@r###"
age 1 |
id 2 |
name 2 |
age 1
id 2
name 2
"###
);
@ -1502,9 +1534,9 @@ pub(crate) mod tests {
db_snap!(index, field_distribution,
@r###"
has_dog 1 |
id 2 |
name 2 |
has_dog 1
id 2
name 2
"###
);
}

View File

@ -5,6 +5,52 @@
#[global_allocator]
pub static ALLOC: mimalloc::MiMalloc = mimalloc::MiMalloc;
// #[cfg(test)]
// pub mod allocator {
// use std::alloc::{GlobalAlloc, System};
// use std::sync::atomic::{self, AtomicI64};
// #[global_allocator]
// pub static ALLOC: CountingAlloc = CountingAlloc {
// max_resident: AtomicI64::new(0),
// resident: AtomicI64::new(0),
// allocated: AtomicI64::new(0),
// };
// pub struct CountingAlloc {
// pub max_resident: AtomicI64,
// pub resident: AtomicI64,
// pub allocated: AtomicI64,
// }
// unsafe impl GlobalAlloc for CountingAlloc {
// unsafe fn alloc(&self, layout: std::alloc::Layout) -> *mut u8 {
// self.allocated.fetch_add(layout.size() as i64, atomic::Ordering::SeqCst);
// let old_resident =
// self.resident.fetch_add(layout.size() as i64, atomic::Ordering::SeqCst);
// let resident = old_resident + layout.size() as i64;
// self.max_resident.fetch_max(resident, atomic::Ordering::SeqCst);
// // if layout.size() > 1_000_000 {
// // eprintln!(
// // "allocating {} with new resident size: {resident}",
// // layout.size() / 1_000_000
// // );
// // // let trace = std::backtrace::Backtrace::capture();
// // // let t = trace.to_string();
// // // eprintln!("{t}");
// // }
// System.alloc(layout)
// }
// unsafe fn dealloc(&self, ptr: *mut u8, layout: std::alloc::Layout) {
// self.resident.fetch_sub(layout.size() as i64, atomic::Ordering::Relaxed);
// System.dealloc(ptr, layout)
// }
// }
// }
#[macro_use]
pub mod documents;
@ -53,8 +99,8 @@ pub use self::heed_codec::{
};
pub use self::index::Index;
pub use self::search::{
FacetDistribution, Filter, FormatOptions, MatchBounds, MatcherBuilder, MatchingWords, Search,
SearchResult, TermsMatchingStrategy, DEFAULT_VALUES_PER_FACET,
FacetDistribution, Filter, FormatOptions, MatchBounds, MatcherBuilder, MatchingWords, OrderBy,
Search, SearchResult, TermsMatchingStrategy, DEFAULT_VALUES_PER_FACET,
};
pub type Result<T> = std::result::Result<T, error::Error>;

View File

@ -1,19 +1,22 @@
use std::collections::{BTreeMap, HashSet};
use std::collections::{BTreeMap, HashMap, HashSet};
use std::ops::ControlFlow;
use std::{fmt, mem};
use heed::types::ByteSlice;
use heed::BytesDecode;
use indexmap::IndexMap;
use roaring::RoaringBitmap;
use serde::{Deserialize, Serialize};
use crate::error::UserError;
use crate::facet::FacetType;
use crate::heed_codec::facet::{
FacetGroupKeyCodec, FacetGroupValueCodec, FieldDocIdFacetF64Codec, FieldDocIdFacetStringCodec,
OrderedF64Codec,
FacetGroupKeyCodec, FieldDocIdFacetF64Codec, FieldDocIdFacetStringCodec, OrderedF64Codec,
};
use crate::heed_codec::{ByteSliceRefCodec, StrRefCodec};
use crate::search::facet::facet_distribution_iter;
use crate::search::facet::facet_distribution_iter::{
count_iterate_over_facet_distribution, lexicographically_iterate_over_facet_distribution,
};
use crate::{FieldId, Index, Result};
/// The default number of values by facets that will
@ -24,10 +27,21 @@ pub const DEFAULT_VALUES_PER_FACET: usize = 100;
/// the system to choose between one algorithm or another.
const CANDIDATES_THRESHOLD: u64 = 3000;
/// How should we fetch the facets?
#[derive(Debug, Default, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)]
pub enum OrderBy {
/// By lexicographic order...
#[default]
Lexicographic,
/// Or by number of docids in common?
Count,
}
pub struct FacetDistribution<'a> {
facets: Option<HashSet<String>>,
facets: Option<HashMap<String, OrderBy>>,
candidates: Option<RoaringBitmap>,
max_values_per_facet: usize,
default_order_by: OrderBy,
rtxn: &'a heed::RoTxn<'a>,
index: &'a Index,
}
@ -38,13 +52,22 @@ impl<'a> FacetDistribution<'a> {
facets: None,
candidates: None,
max_values_per_facet: DEFAULT_VALUES_PER_FACET,
default_order_by: OrderBy::default(),
rtxn,
index,
}
}
pub fn facets<I: IntoIterator<Item = A>, A: AsRef<str>>(&mut self, names: I) -> &mut Self {
self.facets = Some(names.into_iter().map(|s| s.as_ref().to_string()).collect());
pub fn facets<I: IntoIterator<Item = (A, OrderBy)>, A: AsRef<str>>(
&mut self,
names_ordered_by: I,
) -> &mut Self {
self.facets = Some(
names_ordered_by
.into_iter()
.map(|(name, order_by)| (name.as_ref().to_string(), order_by))
.collect(),
);
self
}
@ -53,6 +76,11 @@ impl<'a> FacetDistribution<'a> {
self
}
pub fn default_order_by(&mut self, order_by: OrderBy) -> &mut Self {
self.default_order_by = order_by;
self
}
pub fn candidates(&mut self, candidates: RoaringBitmap) -> &mut Self {
self.candidates = Some(candidates);
self
@ -65,7 +93,7 @@ impl<'a> FacetDistribution<'a> {
field_id: FieldId,
facet_type: FacetType,
candidates: &RoaringBitmap,
distribution: &mut BTreeMap<String, u64>,
distribution: &mut IndexMap<String, u64>,
) -> heed::Result<()> {
match facet_type {
FacetType::Number => {
@ -134,9 +162,15 @@ impl<'a> FacetDistribution<'a> {
&self,
field_id: FieldId,
candidates: &RoaringBitmap,
distribution: &mut BTreeMap<String, u64>,
order_by: OrderBy,
distribution: &mut IndexMap<String, u64>,
) -> heed::Result<()> {
facet_distribution_iter::iterate_over_facet_distribution(
let search_function = match order_by {
OrderBy::Lexicographic => lexicographically_iterate_over_facet_distribution,
OrderBy::Count => count_iterate_over_facet_distribution,
};
search_function(
self.rtxn,
self.index
.facet_id_f64_docids
@ -159,9 +193,15 @@ impl<'a> FacetDistribution<'a> {
&self,
field_id: FieldId,
candidates: &RoaringBitmap,
distribution: &mut BTreeMap<String, u64>,
order_by: OrderBy,
distribution: &mut IndexMap<String, u64>,
) -> heed::Result<()> {
facet_distribution_iter::iterate_over_facet_distribution(
let search_function = match order_by {
OrderBy::Lexicographic => lexicographically_iterate_over_facet_distribution,
OrderBy::Count => count_iterate_over_facet_distribution,
};
search_function(
self.rtxn,
self.index
.facet_id_string_docids
@ -189,93 +229,48 @@ impl<'a> FacetDistribution<'a> {
)
}
/// Placeholder search, a.k.a. no candidates were specified. We iterate throught the
/// facet values one by one and iterate on the facet level 0 for numbers.
fn facet_values_from_raw_facet_database(
fn facet_values(
&self,
field_id: FieldId,
) -> heed::Result<BTreeMap<String, u64>> {
let mut distribution = BTreeMap::new();
let db = self.index.facet_id_f64_docids;
let mut prefix = vec![];
prefix.extend_from_slice(&field_id.to_be_bytes());
prefix.push(0); // read values from level 0 only
let iter = db
.as_polymorph()
.prefix_iter::<_, ByteSlice, ByteSlice>(self.rtxn, prefix.as_slice())?
.remap_types::<FacetGroupKeyCodec<OrderedF64Codec>, FacetGroupValueCodec>();
for result in iter {
let (key, value) = result?;
distribution.insert(key.left_bound.to_string(), value.bitmap.len());
if distribution.len() == self.max_values_per_facet {
break;
}
}
let iter = self
.index
.facet_id_string_docids
.as_polymorph()
.prefix_iter::<_, ByteSlice, ByteSlice>(self.rtxn, prefix.as_slice())?
.remap_types::<FacetGroupKeyCodec<StrRefCodec>, FacetGroupValueCodec>();
for result in iter {
let (key, value) = result?;
let docid = value.bitmap.iter().next().unwrap();
let key: (FieldId, _, &'a str) = (field_id, docid, key.left_bound);
let original_string =
self.index.field_id_docid_facet_strings.get(self.rtxn, &key)?.unwrap().to_owned();
distribution.insert(original_string, value.bitmap.len());
if distribution.len() == self.max_values_per_facet {
break;
}
}
Ok(distribution)
}
fn facet_values(&self, field_id: FieldId) -> heed::Result<BTreeMap<String, u64>> {
order_by: OrderBy,
) -> heed::Result<IndexMap<String, u64>> {
use FacetType::{Number, String};
match self.candidates {
Some(ref candidates) => {
let mut distribution = IndexMap::new();
match (order_by, &self.candidates) {
(OrderBy::Lexicographic, Some(cnd)) if cnd.len() <= CANDIDATES_THRESHOLD => {
// Classic search, candidates were specified, we must return facet values only related
// to those candidates. We also enter here for facet strings for performance reasons.
let mut distribution = BTreeMap::new();
if candidates.len() <= CANDIDATES_THRESHOLD {
self.facet_distribution_from_documents(
field_id,
Number,
candidates,
&mut distribution,
)?;
self.facet_distribution_from_documents(
field_id,
String,
candidates,
&mut distribution,
)?;
} else {
self.facet_numbers_distribution_from_facet_levels(
field_id,
candidates,
&mut distribution,
)?;
self.facet_strings_distribution_from_facet_levels(
field_id,
candidates,
&mut distribution,
)?;
}
Ok(distribution)
self.facet_distribution_from_documents(field_id, Number, cnd, &mut distribution)?;
self.facet_distribution_from_documents(field_id, String, cnd, &mut distribution)?;
}
None => self.facet_values_from_raw_facet_database(field_id),
}
_ => {
let universe;
let candidates;
match &self.candidates {
Some(cnd) => candidates = cnd,
None => {
universe = self.index.documents_ids(self.rtxn)?;
candidates = &universe;
}
}
self.facet_numbers_distribution_from_facet_levels(
field_id,
candidates,
order_by,
&mut distribution,
)?;
self.facet_strings_distribution_from_facet_levels(
field_id,
candidates,
order_by,
&mut distribution,
)?;
}
};
Ok(distribution)
}
pub fn compute_stats(&self) -> Result<BTreeMap<String, (f64, f64)>> {
@ -291,6 +286,7 @@ impl<'a> FacetDistribution<'a> {
Some(facets) => {
let invalid_fields: HashSet<_> = facets
.iter()
.map(|(name, _)| name)
.filter(|facet| !crate::is_faceted(facet, &filterable_fields))
.collect();
if !invalid_fields.is_empty() {
@ -300,7 +296,7 @@ impl<'a> FacetDistribution<'a> {
}
.into());
} else {
facets.clone()
facets.into_iter().map(|(name, _)| name).cloned().collect()
}
}
None => filterable_fields,
@ -337,7 +333,7 @@ impl<'a> FacetDistribution<'a> {
Ok(distribution)
}
pub fn execute(&self) -> Result<BTreeMap<String, BTreeMap<String, u64>>> {
pub fn execute(&self) -> Result<BTreeMap<String, IndexMap<String, u64>>> {
let fields_ids_map = self.index.fields_ids_map(self.rtxn)?;
let filterable_fields = self.index.filterable_fields(self.rtxn)?;
@ -345,6 +341,7 @@ impl<'a> FacetDistribution<'a> {
Some(ref facets) => {
let invalid_fields: HashSet<_> = facets
.iter()
.map(|(name, _)| name)
.filter(|facet| !crate::is_faceted(facet, &filterable_fields))
.collect();
if !invalid_fields.is_empty() {
@ -354,7 +351,7 @@ impl<'a> FacetDistribution<'a> {
}
.into());
} else {
facets.clone()
facets.into_iter().map(|(name, _)| name).cloned().collect()
}
}
None => filterable_fields,
@ -363,7 +360,13 @@ impl<'a> FacetDistribution<'a> {
let mut distribution = BTreeMap::new();
for (fid, name) in fields_ids_map.iter() {
if crate::is_faceted(name, &fields) {
let values = self.facet_values(fid)?;
let order_by = self
.facets
.as_ref()
.map(|facets| facets.get(name).copied())
.flatten()
.unwrap_or(self.default_order_by);
let values = self.facet_values(fid, order_by)?;
distribution.insert(name.to_string(), values);
}
}
@ -374,13 +377,20 @@ impl<'a> FacetDistribution<'a> {
impl fmt::Debug for FacetDistribution<'_> {
fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
let FacetDistribution { facets, candidates, max_values_per_facet, rtxn: _, index: _ } =
self;
let FacetDistribution {
facets,
candidates,
max_values_per_facet,
default_order_by,
rtxn: _,
index: _,
} = self;
f.debug_struct("FacetDistribution")
.field("facets", facets)
.field("candidates", candidates)
.field("max_values_per_facet", max_values_per_facet)
.field("default_order_by", default_order_by)
.finish()
}
}
@ -392,7 +402,7 @@ mod tests {
use crate::documents::documents_batch_reader_from_objects;
use crate::index::tests::TempIndex;
use crate::{milli_snap, FacetDistribution};
use crate::{milli_snap, FacetDistribution, OrderBy};
#[test]
fn few_candidates_few_facet_values() {
@ -417,14 +427,14 @@ mod tests {
let txn = index.read_txn().unwrap();
let map = FacetDistribution::new(&txn, &index)
.facets(std::iter::once("colour"))
.facets(std::iter::once(("colour", OrderBy::default())))
.execute()
.unwrap();
milli_snap!(format!("{map:?}"), @r###"{"colour": {"Blue": 2, "RED": 1}}"###);
let map = FacetDistribution::new(&txn, &index)
.facets(std::iter::once("colour"))
.facets(std::iter::once(("colour", OrderBy::default())))
.candidates([0, 1, 2].iter().copied().collect())
.execute()
.unwrap();
@ -432,7 +442,7 @@ mod tests {
milli_snap!(format!("{map:?}"), @r###"{"colour": {"Blue": 2, "RED": 1}}"###);
let map = FacetDistribution::new(&txn, &index)
.facets(std::iter::once("colour"))
.facets(std::iter::once(("colour", OrderBy::default())))
.candidates([1, 2].iter().copied().collect())
.execute()
.unwrap();
@ -443,7 +453,7 @@ mod tests {
milli_snap!(format!("{map:?}"), @r###"{"colour": {" blue": 1, "RED": 1}}"###);
let map = FacetDistribution::new(&txn, &index)
.facets(std::iter::once("colour"))
.facets(std::iter::once(("colour", OrderBy::default())))
.candidates([2].iter().copied().collect())
.execute()
.unwrap();
@ -451,7 +461,7 @@ mod tests {
milli_snap!(format!("{map:?}"), @r###"{"colour": {"RED": 1}}"###);
let map = FacetDistribution::new(&txn, &index)
.facets(std::iter::once("colour"))
.facets(std::iter::once(("colour", OrderBy::default())))
.candidates([0, 1, 2].iter().copied().collect())
.max_values_per_facet(1)
.execute()
@ -489,14 +499,14 @@ mod tests {
let txn = index.read_txn().unwrap();
let map = FacetDistribution::new(&txn, &index)
.facets(std::iter::once("colour"))
.facets(std::iter::once(("colour", OrderBy::default())))
.execute()
.unwrap();
milli_snap!(format!("{map:?}"), @r###"{"colour": {"Blue": 4000, "Red": 6000}}"###);
let map = FacetDistribution::new(&txn, &index)
.facets(std::iter::once("colour"))
.facets(std::iter::once(("colour", OrderBy::default())))
.max_values_per_facet(1)
.execute()
.unwrap();
@ -504,7 +514,7 @@ mod tests {
milli_snap!(format!("{map:?}"), @r###"{"colour": {"Blue": 4000}}"###);
let map = FacetDistribution::new(&txn, &index)
.facets(std::iter::once("colour"))
.facets(std::iter::once(("colour", OrderBy::default())))
.candidates((0..10_000).collect())
.execute()
.unwrap();
@ -512,7 +522,7 @@ mod tests {
milli_snap!(format!("{map:?}"), @r###"{"colour": {"Blue": 4000, "Red": 6000}}"###);
let map = FacetDistribution::new(&txn, &index)
.facets(std::iter::once("colour"))
.facets(std::iter::once(("colour", OrderBy::default())))
.candidates((0..5_000).collect())
.execute()
.unwrap();
@ -520,7 +530,7 @@ mod tests {
milli_snap!(format!("{map:?}"), @r###"{"colour": {"Blue": 2000, "Red": 3000}}"###);
let map = FacetDistribution::new(&txn, &index)
.facets(std::iter::once("colour"))
.facets(std::iter::once(("colour", OrderBy::default())))
.candidates((0..5_000).collect())
.execute()
.unwrap();
@ -528,7 +538,7 @@ mod tests {
milli_snap!(format!("{map:?}"), @r###"{"colour": {"Blue": 2000, "Red": 3000}}"###);
let map = FacetDistribution::new(&txn, &index)
.facets(std::iter::once("colour"))
.facets(std::iter::once(("colour", OrderBy::default())))
.candidates((0..5_000).collect())
.max_values_per_facet(1)
.execute()
@ -566,14 +576,14 @@ mod tests {
let txn = index.read_txn().unwrap();
let map = FacetDistribution::new(&txn, &index)
.facets(std::iter::once("colour"))
.facets(std::iter::once(("colour", OrderBy::default())))
.execute()
.unwrap();
milli_snap!(format!("{map:?}"), "no_candidates", @"ac9229ed5964d893af96a7076e2f8af5");
let map = FacetDistribution::new(&txn, &index)
.facets(std::iter::once("colour"))
.facets(std::iter::once(("colour", OrderBy::default())))
.max_values_per_facet(2)
.execute()
.unwrap();
@ -581,7 +591,7 @@ mod tests {
milli_snap!(format!("{map:?}"), "no_candidates_with_max_2", @r###"{"colour": {"0": 10, "1": 10}}"###);
let map = FacetDistribution::new(&txn, &index)
.facets(std::iter::once("colour"))
.facets(std::iter::once(("colour", OrderBy::default())))
.candidates((0..10_000).collect())
.execute()
.unwrap();
@ -589,7 +599,7 @@ mod tests {
milli_snap!(format!("{map:?}"), "candidates_0_10_000", @"ac9229ed5964d893af96a7076e2f8af5");
let map = FacetDistribution::new(&txn, &index)
.facets(std::iter::once("colour"))
.facets(std::iter::once(("colour", OrderBy::default())))
.candidates((0..5_000).collect())
.execute()
.unwrap();
@ -626,14 +636,14 @@ mod tests {
let txn = index.read_txn().unwrap();
let map = FacetDistribution::new(&txn, &index)
.facets(std::iter::once("colour"))
.facets(std::iter::once(("colour", OrderBy::default())))
.compute_stats()
.unwrap();
milli_snap!(format!("{map:?}"), "no_candidates", @"{}");
let map = FacetDistribution::new(&txn, &index)
.facets(std::iter::once("colour"))
.facets(std::iter::once(("colour", OrderBy::default())))
.candidates((0..1000).collect())
.compute_stats()
.unwrap();
@ -641,7 +651,7 @@ mod tests {
milli_snap!(format!("{map:?}"), "candidates_0_1000", @r###"{"colour": (0.0, 999.0)}"###);
let map = FacetDistribution::new(&txn, &index)
.facets(std::iter::once("colour"))
.facets(std::iter::once(("colour", OrderBy::default())))
.candidates((217..777).collect())
.compute_stats()
.unwrap();
@ -678,14 +688,14 @@ mod tests {
let txn = index.read_txn().unwrap();
let map = FacetDistribution::new(&txn, &index)
.facets(std::iter::once("colour"))
.facets(std::iter::once(("colour", OrderBy::default())))
.compute_stats()
.unwrap();
milli_snap!(format!("{map:?}"), "no_candidates", @"{}");
let map = FacetDistribution::new(&txn, &index)
.facets(std::iter::once("colour"))
.facets(std::iter::once(("colour", OrderBy::default())))
.candidates((0..1000).collect())
.compute_stats()
.unwrap();
@ -693,7 +703,7 @@ mod tests {
milli_snap!(format!("{map:?}"), "candidates_0_1000", @r###"{"colour": (0.0, 1999.0)}"###);
let map = FacetDistribution::new(&txn, &index)
.facets(std::iter::once("colour"))
.facets(std::iter::once(("colour", OrderBy::default())))
.candidates((217..777).collect())
.compute_stats()
.unwrap();
@ -730,14 +740,14 @@ mod tests {
let txn = index.read_txn().unwrap();
let map = FacetDistribution::new(&txn, &index)
.facets(std::iter::once("colour"))
.facets(std::iter::once(("colour", OrderBy::default())))
.compute_stats()
.unwrap();
milli_snap!(format!("{map:?}"), "no_candidates", @"{}");
let map = FacetDistribution::new(&txn, &index)
.facets(std::iter::once("colour"))
.facets(std::iter::once(("colour", OrderBy::default())))
.candidates((0..1000).collect())
.compute_stats()
.unwrap();
@ -745,7 +755,7 @@ mod tests {
milli_snap!(format!("{map:?}"), "candidates_0_1000", @r###"{"colour": (0.0, 999.0)}"###);
let map = FacetDistribution::new(&txn, &index)
.facets(std::iter::once("colour"))
.facets(std::iter::once(("colour", OrderBy::default())))
.candidates((217..777).collect())
.compute_stats()
.unwrap();
@ -786,14 +796,14 @@ mod tests {
let txn = index.read_txn().unwrap();
let map = FacetDistribution::new(&txn, &index)
.facets(std::iter::once("colour"))
.facets(std::iter::once(("colour", OrderBy::default())))
.compute_stats()
.unwrap();
milli_snap!(format!("{map:?}"), "no_candidates", @"{}");
let map = FacetDistribution::new(&txn, &index)
.facets(std::iter::once("colour"))
.facets(std::iter::once(("colour", OrderBy::default())))
.candidates((0..1000).collect())
.compute_stats()
.unwrap();
@ -801,7 +811,7 @@ mod tests {
milli_snap!(format!("{map:?}"), "candidates_0_1000", @r###"{"colour": (0.0, 1998.0)}"###);
let map = FacetDistribution::new(&txn, &index)
.facets(std::iter::once("colour"))
.facets(std::iter::once(("colour", OrderBy::default())))
.candidates((217..777).collect())
.compute_stats()
.unwrap();

View File

@ -1,3 +1,5 @@
use std::cmp::Reverse;
use std::collections::BinaryHeap;
use std::ops::ControlFlow;
use heed::Result;
@ -19,7 +21,7 @@ use crate::DocumentId;
///
/// The return value of the closure is a `ControlFlow<()>` which indicates whether we should
/// keep iterating over the different facet values or stop.
pub fn iterate_over_facet_distribution<'t, CB>(
pub fn lexicographically_iterate_over_facet_distribution<'t, CB>(
rtxn: &'t heed::RoTxn<'t>,
db: heed::Database<FacetGroupKeyCodec<ByteSliceRefCodec>, FacetGroupValueCodec>,
field_id: u16,
@ -29,7 +31,7 @@ pub fn iterate_over_facet_distribution<'t, CB>(
where
CB: FnMut(&'t [u8], u64, DocumentId) -> Result<ControlFlow<()>>,
{
let mut fd = FacetDistribution { rtxn, db, field_id, callback };
let mut fd = LexicographicFacetDistribution { rtxn, db, field_id, callback };
let highest_level = get_highest_level(
rtxn,
db.remap_key_type::<FacetGroupKeyCodec<ByteSliceRefCodec>>(),
@ -44,7 +46,99 @@ where
}
}
struct FacetDistribution<'t, CB>
pub fn count_iterate_over_facet_distribution<'t, CB>(
rtxn: &'t heed::RoTxn<'t>,
db: heed::Database<FacetGroupKeyCodec<ByteSliceRefCodec>, FacetGroupValueCodec>,
field_id: u16,
candidates: &RoaringBitmap,
mut callback: CB,
) -> Result<()>
where
CB: FnMut(&'t [u8], u64, DocumentId) -> Result<ControlFlow<()>>,
{
#[derive(Debug, PartialOrd, Ord, PartialEq, Eq)]
struct LevelEntry<'t> {
/// The number of candidates in this entry.
count: u64,
/// The key level of the entry.
level: Reverse<u8>,
/// The left bound key.
left_bound: &'t [u8],
/// The number of keys we must look for after `left_bound`.
group_size: u8,
/// Any docid in the set of matching documents. Used to find the original facet string.
any_docid: u32,
}
// Represents the list of keys that we must explore.
let mut heap = BinaryHeap::new();
let highest_level = get_highest_level(
rtxn,
db.remap_key_type::<FacetGroupKeyCodec<ByteSliceRefCodec>>(),
field_id,
)?;
if let Some(first_bound) = get_first_facet_value::<ByteSliceRefCodec>(rtxn, db, field_id)? {
// We first fill the heap with values from the highest level
let starting_key =
FacetGroupKey { field_id, level: highest_level, left_bound: first_bound };
for el in db.range(rtxn, &(&starting_key..)).unwrap().take(usize::MAX) {
let (key, value) = el.unwrap();
// The range is unbounded on the right and the group size for the highest level is MAX,
// so we need to check that we are not iterating over the next field id
if key.field_id != field_id {
break;
}
let intersection = value.bitmap & candidates;
let count = intersection.len();
if count != 0 {
heap.push(LevelEntry {
count,
level: Reverse(key.level),
left_bound: key.left_bound,
group_size: value.size,
any_docid: intersection.min().unwrap(),
});
}
}
while let Some(LevelEntry { count, level, left_bound, group_size, any_docid }) = heap.pop()
{
if let Reverse(0) = level {
match (callback)(left_bound, count, any_docid)? {
ControlFlow::Continue(_) => (),
ControlFlow::Break(_) => return Ok(()),
}
} else {
let starting_key = FacetGroupKey { field_id, level: level.0 - 1, left_bound };
for el in db.range(rtxn, &(&starting_key..)).unwrap().take(group_size as usize) {
let (key, value) = el.unwrap();
// The range is unbounded on the right and the group size for the highest level is MAX,
// so we need to check that we are not iterating over the next field id
if key.field_id != field_id {
break;
}
let intersection = value.bitmap & candidates;
let count = intersection.len();
if count != 0 {
heap.push(LevelEntry {
count,
level: Reverse(key.level),
left_bound: key.left_bound,
group_size: value.size,
any_docid: intersection.min().unwrap(),
});
}
}
}
}
}
Ok(())
}
/// Iterate over the facets values by lexicographic order.
struct LexicographicFacetDistribution<'t, CB>
where
CB: FnMut(&'t [u8], u64, DocumentId) -> Result<ControlFlow<()>>,
{
@ -54,7 +148,7 @@ where
callback: CB,
}
impl<'t, CB> FacetDistribution<'t, CB>
impl<'t, CB> LexicographicFacetDistribution<'t, CB>
where
CB: FnMut(&'t [u8], u64, DocumentId) -> Result<ControlFlow<()>>,
{
@ -86,6 +180,7 @@ where
}
Ok(ControlFlow::Continue(()))
}
fn iterate(
&mut self,
candidates: &RoaringBitmap,
@ -116,7 +211,7 @@ where
value.size as usize,
)?;
match cf {
ControlFlow::Continue(_) => {}
ControlFlow::Continue(_) => (),
ControlFlow::Break(_) => return Ok(ControlFlow::Break(())),
}
}
@ -132,7 +227,7 @@ mod tests {
use heed::BytesDecode;
use roaring::RoaringBitmap;
use super::iterate_over_facet_distribution;
use super::lexicographically_iterate_over_facet_distribution;
use crate::heed_codec::facet::OrderedF64Codec;
use crate::milli_snap;
use crate::search::facet::tests::{get_random_looking_index, get_simple_index};
@ -144,7 +239,7 @@ mod tests {
let txn = index.env.read_txn().unwrap();
let candidates = (0..=255).collect::<RoaringBitmap>();
let mut results = String::new();
iterate_over_facet_distribution(
lexicographically_iterate_over_facet_distribution(
&txn,
index.content,
0,
@ -161,6 +256,7 @@ mod tests {
txn.commit().unwrap();
}
}
#[test]
fn filter_distribution_all_stop_early() {
let indexes = [get_simple_index(), get_random_looking_index()];
@ -169,7 +265,7 @@ mod tests {
let candidates = (0..=255).collect::<RoaringBitmap>();
let mut results = String::new();
let mut nbr_facets = 0;
iterate_over_facet_distribution(
lexicographically_iterate_over_facet_distribution(
&txn,
index.content,
0,

View File

@ -4,7 +4,7 @@ use heed::types::{ByteSlice, DecodeIgnore};
use heed::{BytesDecode, RoTxn};
use roaring::RoaringBitmap;
pub use self::facet_distribution::{FacetDistribution, DEFAULT_VALUES_PER_FACET};
pub use self::facet_distribution::{FacetDistribution, OrderBy, DEFAULT_VALUES_PER_FACET};
pub use self::filter::{BadGeoError, Filter};
use crate::heed_codec::facet::{FacetGroupKeyCodec, FacetGroupValueCodec, OrderedF64Codec};
use crate::heed_codec::ByteSliceRefCodec;

View File

@ -4,7 +4,7 @@ use levenshtein_automata::{LevenshteinAutomatonBuilder as LevBuilder, DFA};
use once_cell::sync::Lazy;
use roaring::bitmap::RoaringBitmap;
pub use self::facet::{FacetDistribution, Filter, DEFAULT_VALUES_PER_FACET};
pub use self::facet::{FacetDistribution, Filter, OrderBy, DEFAULT_VALUES_PER_FACET};
pub use self::new::matches::{FormatOptions, MatchBounds, Matcher, MatcherBuilder, MatchingWords};
use self::new::PartialSearchResult;
use crate::{

View File

@ -26,6 +26,7 @@ pub fn apply_distinct_rule(
ctx: &mut SearchContext,
field_id: u16,
candidates: &RoaringBitmap,
// TODO: add a universe here, such that the `excluded` are a subset of the universe?
) -> Result<DistinctOutput> {
let mut excluded = RoaringBitmap::new();
let mut remaining = RoaringBitmap::new();

View File

@ -206,7 +206,7 @@ impl State {
)?;
intersection &= &candidates;
if !intersection.is_empty() {
// Although not really worth it in terms of performance,
// TODO: although not really worth it in terms of performance,
// if would be good to put this in cache for the sake of consistency
let candidates_with_exact_word_count = if count_all_positions < u8::MAX as usize {
ctx.index

View File

@ -32,7 +32,7 @@ impl<T> Interned<T> {
#[derive(Clone)]
pub struct DedupInterner<T> {
stable_store: Vec<T>,
lookup: FxHashMap<T, Interned<T>>,
lookup: FxHashMap<T, Interned<T>>, // TODO: Arc
}
impl<T> Default for DedupInterner<T> {
fn default() -> Self {

View File

@ -1,4 +1,5 @@
/// Maximum number of tokens we consider in a single search.
// TODO: Loic, find proper value here so we don't overflow the interner.
pub const MAX_TOKEN_COUNT: usize = 1_000;
/// Maximum number of prefixes that can be derived from a single word.

View File

@ -92,7 +92,7 @@ impl QueryGraph {
/// which contains ngrams.
pub fn from_query(
ctx: &mut SearchContext,
// The terms here must be consecutive
// NOTE: the terms here must be consecutive
terms: &[LocatedQueryTerm],
) -> Result<(QueryGraph, Vec<LocatedQueryTerm>)> {
let mut new_located_query_terms = terms.to_vec();
@ -103,7 +103,7 @@ impl QueryGraph {
let root_node = 0;
let end_node = 1;
// Ee could consider generalizing to 4,5,6,7,etc. ngrams
// TODO: we could consider generalizing to 4,5,6,7,etc. ngrams
let (mut prev2, mut prev1, mut prev0): (Vec<u16>, Vec<u16>, Vec<u16>) =
(vec![], vec![], vec![root_node]);

View File

@ -132,6 +132,7 @@ impl QueryTermSubset {
if full_query_term.ngram_words.is_some() {
return None;
}
// TODO: included in subset
if let Some(phrase) = full_query_term.zero_typo.phrase {
self.zero_typo_subset.contains_phrase(phrase).then_some(ExactTerm::Phrase(phrase))
} else if let Some(word) = full_query_term.zero_typo.exact {
@ -181,6 +182,7 @@ impl QueryTermSubset {
let word = match &self.zero_typo_subset {
NTypoTermSubset::All => Some(use_prefix_db),
NTypoTermSubset::Subset { words, phrases: _ } => {
// TODO: use a subset of prefix words instead
if words.contains(&use_prefix_db) {
Some(use_prefix_db)
} else {
@ -202,6 +204,7 @@ impl QueryTermSubset {
ctx: &mut SearchContext,
) -> Result<BTreeSet<Word>> {
let mut result = BTreeSet::default();
// TODO: a compute_partially funtion
if !self.one_typo_subset.is_empty() || !self.two_typo_subset.is_empty() {
self.original.compute_fully_if_needed(ctx)?;
}
@ -297,6 +300,7 @@ impl QueryTermSubset {
let mut result = BTreeSet::default();
if !self.one_typo_subset.is_empty() {
// TODO: compute less than fully if possible
self.original.compute_fully_if_needed(ctx)?;
}
let original = ctx.term_interner.get_mut(self.original);

View File

@ -77,9 +77,13 @@ pub fn located_query_terms_from_tokens(
}
}
TokenKind::Separator(separator_kind) => {
// add penalty for hard separators
if let SeparatorKind::Hard = separator_kind {
position = position.wrapping_add(7);
match separator_kind {
SeparatorKind::Hard => {
position += 1;
}
SeparatorKind::Soft => {
position += 0;
}
}
phrase = 'phrase: {
@ -139,6 +143,7 @@ pub fn number_of_typos_allowed<'ctx>(
let min_len_one_typo = ctx.index.min_word_len_one_typo(ctx.txn)?;
let min_len_two_typos = ctx.index.min_word_len_two_typos(ctx.txn)?;
// TODO: should `exact_words` also disable prefix search, ngrams, split words, or synonyms?
let exact_words = ctx.index.exact_words(ctx.txn)?;
Ok(Box::new(move |word: &str| {
@ -249,6 +254,8 @@ impl PhraseBuilder {
} else {
// token has kind Word
let word = ctx.word_interner.insert(token.lemma().to_string());
// TODO: in a phrase, check that every word exists
// otherwise return an empty term
self.words.push(Some(word));
}
}
@ -281,36 +288,3 @@ impl PhraseBuilder {
})
}
}
#[cfg(test)]
mod tests {
use charabia::TokenizerBuilder;
use super::*;
use crate::index::tests::TempIndex;
fn temp_index_with_documents() -> TempIndex {
let temp_index = TempIndex::new();
temp_index
.add_documents(documents!([
{ "id": 1, "name": "split this world westfali westfalia the Ŵôřlḑôle" },
{ "id": 2, "name": "Westfália" },
{ "id": 3, "name": "Ŵôřlḑôle" },
]))
.unwrap();
temp_index
}
#[test]
fn start_with_hard_separator() -> Result<()> {
let tokenizer = TokenizerBuilder::new().build();
let tokens = tokenizer.tokenize(".");
let index = temp_index_with_documents();
let rtxn = index.read_txn()?;
let mut ctx = SearchContext::new(&index, &rtxn);
// panics with `attempt to add with overflow` before <https://github.com/meilisearch/meilisearch/issues/3785>
let located_query_terms = located_query_terms_from_tokens(&mut ctx, tokens, None)?;
assert!(located_query_terms.is_empty());
Ok(())
}
}

View File

@ -1,48 +1,5 @@
/** Implements a "PathVisitor" which finds all paths of a certain cost
from the START to END node of a ranking rule graph.
#![allow(clippy::too_many_arguments)]
A path is a list of conditions. A condition is the data associated with
an edge, given by the ranking rule. Some edges don't have a condition associated
with them, they are "unconditional". These kinds of edges are used to "skip" a node.
The algorithm uses a depth-first search. It benefits from two main optimisations:
- The list of all possible costs to go from any node to the END node is precomputed
- The `DeadEndsCache` reduces the number of valid paths drastically, by making some edges
untraversable depending on what other edges were selected.
These two optimisations are meant to avoid traversing edges that wouldn't lead
to a valid path. In practically all cases, we avoid the exponential complexity
that is inherent to depth-first search in a large ranking rule graph.
The DeadEndsCache is a sort of prefix tree which associates a list of forbidden
conditions to a list of traversed conditions.
For example, the DeadEndsCache could say the following:
- Immediately, from the start, the conditions `[a,b]` are forbidden
- if we take the condition `c`, then the conditions `[e]` are also forbidden
- and if after that, we take `f`, then `[h,i]` are also forbidden
- etc.
- if we take `g`, then `[f]` is also forbidden
- etc.
- etc.
As we traverse the graph, we also traverse the `DeadEndsCache` and keep a list of forbidden
conditions in memory. Then, we know to avoid all edges which have a condition that is forbidden.
When a path is found from START to END, we give it to the `visit` closure.
This closure takes a mutable reference to the `DeadEndsCache`. This means that
the caller can update this cache. Therefore, we must handle the case where the
DeadEndsCache has been updated. This means potentially backtracking up to the point
where the traversed conditions are all allowed by the new DeadEndsCache.
The algorithm also implements the `TermsMatchingStrategy` logic.
Some edges are augmented with a list of "nodes_to_skip". Skipping
a node means "reaching this node through an unconditional edge". If we have
already traversed (ie. not skipped) a node that is in this list, then we know that we
can't traverse this edge. Otherwise, we traverse the edge but make sure to skip any
future node that was present in the "nodes_to_skip" list.
The caller can decide to stop the path finding algorithm
by returning a `ControlFlow::Break` from the `visit` closure.
*/
use std::collections::{BTreeSet, VecDeque};
use std::iter::FromIterator;
use std::ops::ControlFlow;
@ -55,41 +12,30 @@ use crate::search::new::query_graph::QueryNode;
use crate::search::new::small_bitmap::SmallBitmap;
use crate::Result;
/// Closure which processes a path found by the `PathVisitor`
type VisitFn<'f, G> = &'f mut dyn FnMut(
// the path as a list of conditions
&[Interned<<G as RankingRuleGraphTrait>::Condition>],
&mut RankingRuleGraph<G>,
// a mutable reference to the DeadEndsCache, to update it in case the given
// path doesn't resolve to any valid document ids
&mut DeadEndsCache<<G as RankingRuleGraphTrait>::Condition>,
) -> Result<ControlFlow<()>>;
/// A structure which is kept but not updated during the traversal of the graph.
/// It can however be updated by the `visit` closure once a valid path has been found.
struct VisitorContext<'a, G: RankingRuleGraphTrait> {
graph: &'a mut RankingRuleGraph<G>,
all_costs_from_node: &'a MappedInterner<QueryNode, Vec<u64>>,
dead_ends_cache: &'a mut DeadEndsCache<G::Condition>,
}
/// The internal state of the traversal algorithm
struct VisitorState<G: RankingRuleGraphTrait> {
/// Budget from the current node to the end node
remaining_cost: u64,
/// Previously visited conditions, in order.
path: Vec<Interned<G::Condition>>,
/// Previously visited conditions, as an efficient and compact set.
visited_conditions: SmallBitmap<G::Condition>,
/// Previously visited (ie not skipped) nodes, as an efficient and compact set.
visited_nodes: SmallBitmap<QueryNode>,
/// The conditions that cannot be visited anymore
forbidden_conditions: SmallBitmap<G::Condition>,
/// The nodes that cannot be visited anymore (they must be skipped)
nodes_to_skip: SmallBitmap<QueryNode>,
forbidden_conditions_to_nodes: SmallBitmap<QueryNode>,
}
/// See module documentation
pub struct PathVisitor<'a, G: RankingRuleGraphTrait> {
state: VisitorState<G>,
ctx: VisitorContext<'a, G>,
@ -110,13 +56,14 @@ impl<'a, G: RankingRuleGraphTrait> PathVisitor<'a, G> {
forbidden_conditions: SmallBitmap::for_interned_values_in(
&graph.conditions_interner,
),
nodes_to_skip: SmallBitmap::for_interned_values_in(&graph.query_graph.nodes),
forbidden_conditions_to_nodes: SmallBitmap::for_interned_values_in(
&graph.query_graph.nodes,
),
},
ctx: VisitorContext { graph, all_costs_from_node, dead_ends_cache },
}
}
/// See module documentation
pub fn visit_paths(mut self, visit: VisitFn<G>) -> Result<()> {
let _ =
self.state.visit_node(self.ctx.graph.query_graph.root_node, visit, &mut self.ctx)?;
@ -125,31 +72,22 @@ impl<'a, G: RankingRuleGraphTrait> PathVisitor<'a, G> {
}
impl<G: RankingRuleGraphTrait> VisitorState<G> {
/// Visits a node: traverse all its valid conditional and unconditional edges.
///
/// Returns ControlFlow::Break if the path finding algorithm should stop.
/// Returns whether a valid path was found from this node otherwise.
fn visit_node(
&mut self,
from_node: Interned<QueryNode>,
visit: VisitFn<G>,
ctx: &mut VisitorContext<G>,
) -> Result<ControlFlow<(), bool>> {
// any valid path will be found from this point
// if a valid path was found, then we know that the DeadEndsCache may have been updated,
// and we will need to do more work to potentially backtrack
let mut any_valid = false;
let edges = ctx.graph.edges_of_node.get(from_node).clone();
for edge_idx in edges.iter() {
// could be none if the edge was deleted
let Some(edge) = ctx.graph.edges_store.get(edge_idx).clone() else { continue };
if self.remaining_cost < edge.cost as u64 {
continue;
}
self.remaining_cost -= edge.cost as u64;
let cf = match edge.condition {
Some(condition) => self.visit_condition(
condition,
@ -181,10 +119,6 @@ impl<G: RankingRuleGraphTrait> VisitorState<G> {
Ok(ControlFlow::Continue(any_valid))
}
/// Visits an unconditional edge.
///
/// Returns ControlFlow::Break if the path finding algorithm should stop.
/// Returns whether a valid path was found from this node otherwise.
fn visit_no_condition(
&mut self,
dest_node: Interned<QueryNode>,
@ -200,29 +134,20 @@ impl<G: RankingRuleGraphTrait> VisitorState<G> {
{
return Ok(ControlFlow::Continue(false));
}
// We've reached the END node!
if dest_node == ctx.graph.query_graph.end_node {
let control_flow = visit(&self.path, ctx.graph, ctx.dead_ends_cache)?;
// We could change the return type of the visit closure such that the caller
// tells us whether the dead ends cache was updated or not.
// Alternatively, maybe the DeadEndsCache should have a generation number
// to it, so that we don't need to play with these booleans at all.
match control_flow {
ControlFlow::Continue(_) => Ok(ControlFlow::Continue(true)),
ControlFlow::Break(_) => Ok(ControlFlow::Break(())),
}
} else {
let old_fbct = self.nodes_to_skip.clone();
self.nodes_to_skip.union(edge_new_nodes_to_skip);
let old_fbct = self.forbidden_conditions_to_nodes.clone();
self.forbidden_conditions_to_nodes.union(edge_new_nodes_to_skip);
let cf = self.visit_node(dest_node, visit, ctx)?;
self.nodes_to_skip = old_fbct;
self.forbidden_conditions_to_nodes = old_fbct;
Ok(cf)
}
}
/// Visits a conditional edge.
///
/// Returns ControlFlow::Break if the path finding algorithm should stop.
/// Returns whether a valid path was found from this node otherwise.
fn visit_condition(
&mut self,
condition: Interned<G::Condition>,
@ -234,7 +159,7 @@ impl<G: RankingRuleGraphTrait> VisitorState<G> {
assert!(dest_node != ctx.graph.query_graph.end_node);
if self.forbidden_conditions.contains(condition)
|| self.nodes_to_skip.contains(dest_node)
|| self.forbidden_conditions_to_nodes.contains(dest_node)
|| edge_new_nodes_to_skip.intersects(&self.visited_nodes)
{
return Ok(ControlFlow::Continue(false));
@ -255,19 +180,19 @@ impl<G: RankingRuleGraphTrait> VisitorState<G> {
self.visited_nodes.insert(dest_node);
self.visited_conditions.insert(condition);
let old_forb_cond = self.forbidden_conditions.clone();
let old_fc = self.forbidden_conditions.clone();
if let Some(next_forbidden) =
ctx.dead_ends_cache.forbidden_conditions_after_prefix(self.path.iter().copied())
{
self.forbidden_conditions.union(&next_forbidden);
}
let old_nodes_to_skip = self.nodes_to_skip.clone();
self.nodes_to_skip.union(edge_new_nodes_to_skip);
let old_fctn = self.forbidden_conditions_to_nodes.clone();
self.forbidden_conditions_to_nodes.union(edge_new_nodes_to_skip);
let cf = self.visit_node(dest_node, visit, ctx)?;
self.nodes_to_skip = old_nodes_to_skip;
self.forbidden_conditions = old_forb_cond;
self.forbidden_conditions_to_nodes = old_fctn;
self.forbidden_conditions = old_fc;
self.visited_conditions.remove(condition);
self.visited_nodes.remove(dest_node);

View File

@ -9,8 +9,12 @@ use crate::search::new::query_term::LocatedQueryTermSubset;
use crate::search::new::SearchContext;
use crate::Result;
// TODO: give a generation to each universe, then be able to get the exact
// delta of docids between two universes of different generations!
/// A cache storing the document ids associated with each ranking rule edge
pub struct ConditionDocIdsCache<G: RankingRuleGraphTrait> {
// TOOD: should be a mapped interner?
pub cache: FxHashMap<Interned<G::Condition>, ComputedCondition>,
_phantom: PhantomData<G>,
}
@ -50,7 +54,7 @@ impl<G: RankingRuleGraphTrait> ConditionDocIdsCache<G> {
}
let condition = graph.conditions_interner.get_mut(interned_condition);
let computed = G::resolve_condition(ctx, condition, universe)?;
// Can we put an assert here for computed.universe_len == universe.len() ?
// TODO: if computed.universe_len != universe.len() ?
let _ = self.cache.insert(interned_condition, computed);
let computed = &self.cache[&interned_condition];
Ok(computed)

View File

@ -2,7 +2,6 @@ use crate::search::new::interner::{FixedSizeInterner, Interned};
use crate::search::new::small_bitmap::SmallBitmap;
pub struct DeadEndsCache<T> {
// conditions and next could/should be part of the same vector
conditions: Vec<Interned<T>>,
next: Vec<Self>,
pub forbidden: SmallBitmap<T>,
@ -28,7 +27,7 @@ impl<T> DeadEndsCache<T> {
self.forbidden.insert(condition);
}
fn advance(&mut self, condition: Interned<T>) -> Option<&mut Self> {
pub fn advance(&mut self, condition: Interned<T>) -> Option<&mut Self> {
if let Some(idx) = self.conditions.iter().position(|c| *c == condition) {
Some(&mut self.next[idx])
} else {

View File

@ -69,9 +69,14 @@ impl RankingRuleGraphTrait for FidGraph {
let mut edges = vec![];
for fid in all_fields {
// TODO: We can improve performances and relevancy by storing
// the term subsets associated to each field ids fetched.
edges.push((
fid as u32 * term.term_ids.len() as u32,
conditions_interner.insert(FidCondition { term: term.clone(), fid }),
fid as u32 * term.term_ids.len() as u32, // TODO improve the fid score i.e. fid^10.
conditions_interner.insert(FidCondition {
term: term.clone(), // TODO remove this ugly clone
fid,
}),
));
}

View File

@ -94,9 +94,14 @@ impl RankingRuleGraphTrait for PositionGraph {
let mut edges = vec![];
for (cost, positions) in positions_for_costs {
// TODO: We can improve performances and relevancy by storing
// the term subsets associated to each position fetched
edges.push((
cost,
conditions_interner.insert(PositionCondition { term: term.clone(), positions }),
conditions_interner.insert(PositionCondition {
term: term.clone(), // TODO remove this ugly clone
positions,
}),
));
}

View File

@ -65,6 +65,13 @@ pub fn compute_docids(
}
}
// TODO: add safeguard in case the cartesian product is too large!
// even if we restrict the word derivations to a maximum of 100, the size of the
// caterisan product could reach a maximum of 10_000 derivations, which is way too much.
// Maybe prioritise the product of zero typo derivations, then the product of zero-typo/one-typo
// + one-typo/zero-typo, then one-typo/one-typo, then ... until an arbitrary limit has been
// reached
for (left_phrase, left_word) in last_words_of_term_derivations(ctx, &left_term.term_subset)? {
// Before computing the edges, check that the left word and left phrase
// aren't disjoint with the universe, but only do it if there is more than
@ -104,6 +111,8 @@ pub fn compute_docids(
Ok(ComputedCondition {
docids,
universe_len: universe.len(),
// TODO: think about whether we want to reduce the subset,
// we probably should!
start_term_subset: Some(left_term.clone()),
end_term_subset: right_term.clone(),
})
@ -194,7 +203,12 @@ fn compute_non_prefix_edges(
*docids |= new_docids;
}
}
if backward_proximity >= 1 && left_phrase.is_none() && right_phrase.is_none() {
if backward_proximity >= 1
// TODO: for now, we don't do any swapping when either term is a phrase
// but maybe we should. We'd need to look at the first/last word of the phrase
// depending on the context.
&& left_phrase.is_none() && right_phrase.is_none()
{
if let Some(new_docids) =
ctx.get_db_word_pair_proximity_docids(word2, word1, backward_proximity)?
{

View File

@ -33,6 +33,8 @@ pub fn compute_query_term_subset_docids(
ctx: &mut SearchContext,
term: &QueryTermSubset,
) -> Result<RoaringBitmap> {
// TODO Use the roaring::MultiOps trait
let mut docids = RoaringBitmap::new();
for word in term.all_single_words_except_prefix_db(ctx)? {
if let Some(word_docids) = ctx.word_docids(word)? {
@ -57,6 +59,8 @@ pub fn compute_query_term_subset_docids_within_field_id(
term: &QueryTermSubset,
fid: u16,
) -> Result<RoaringBitmap> {
// TODO Use the roaring::MultiOps trait
let mut docids = RoaringBitmap::new();
for word in term.all_single_words_except_prefix_db(ctx)? {
if let Some(word_fid_docids) = ctx.get_db_word_fid_docids(word.interned(), fid)? {
@ -67,6 +71,7 @@ pub fn compute_query_term_subset_docids_within_field_id(
for phrase in term.all_phrases(ctx)? {
// There may be false positives when resolving a phrase, so we're not
// guaranteed that all of its words are within a single fid.
// TODO: fix this?
if let Some(word) = phrase.words(ctx).iter().flatten().next() {
if let Some(word_fid_docids) = ctx.get_db_word_fid_docids(*word, fid)? {
docids |= ctx.get_phrase_docids(phrase)? & word_fid_docids;
@ -90,6 +95,7 @@ pub fn compute_query_term_subset_docids_within_position(
term: &QueryTermSubset,
position: u16,
) -> Result<RoaringBitmap> {
// TODO Use the roaring::MultiOps trait
let mut docids = RoaringBitmap::new();
for word in term.all_single_words_except_prefix_db(ctx)? {
if let Some(word_position_docids) =
@ -102,6 +108,7 @@ pub fn compute_query_term_subset_docids_within_position(
for phrase in term.all_phrases(ctx)? {
// It's difficult to know the expected position of the words in the phrase,
// so instead we just check the first one.
// TODO: fix this?
if let Some(word) = phrase.words(ctx).iter().flatten().next() {
if let Some(word_position_docids) = ctx.get_db_word_position_docids(*word, position)? {
docids |= ctx.get_phrase_docids(phrase)? & word_position_docids
@ -125,6 +132,9 @@ pub fn compute_query_graph_docids(
q: &QueryGraph,
universe: &RoaringBitmap,
) -> Result<RoaringBitmap> {
// TODO: there must be a faster way to compute this big
// roaring bitmap expression
let mut nodes_resolved = SmallBitmap::for_interned_values_in(&q.nodes);
let mut path_nodes_docids = q.nodes.map(|_| RoaringBitmap::new());

View File

@ -141,6 +141,10 @@ impl<'ctx, Query: RankingRuleQueryTrait> RankingRule<'ctx, Query> for Sort<'ctx,
universe: &RoaringBitmap,
) -> Result<Option<RankingRuleOutput<Query>>> {
let iter = self.iter.as_mut().unwrap();
// TODO: we should make use of the universe in the function below
// good for correctness, but ideally iter.next_bucket would take the current universe into account,
// as right now it could return buckets that don't intersect with the universe, meaning we will make many
// unneeded calls.
if let Some(mut bucket) = iter.next_bucket()? {
bucket.candidates &= universe;
Ok(Some(bucket))

View File

@ -527,7 +527,7 @@ fn test_distinct_all_candidates() {
let SearchResult { documents_ids, candidates, .. } = s.execute().unwrap();
let candidates = candidates.iter().collect::<Vec<_>>();
insta::assert_snapshot!(format!("{documents_ids:?}"), @"[14, 26, 4, 7, 17, 23, 1, 19, 25, 8, 20, 24]");
// This is incorrect, but unfortunately impossible to do better efficiently.
// TODO: this is incorrect!
insta::assert_snapshot!(format!("{candidates:?}"), @"[1, 4, 7, 8, 14, 17, 19, 20, 23, 24, 25, 26]");
}

View File

@ -122,11 +122,11 @@ fn create_edge_cases_index() -> TempIndex {
sta stb stc ste stf stg sth sti stj stk stl stm stn sto stp stq str stst stt stu stv stw stx sty stz
"
},
// The next 5 documents lay out a trap with the split word, phrase search, or synonym `sun flower`.
// If the search query is "sunflower", the split word "Sun Flower" will match some documents.
// The next 5 documents lay out a trap with the split word, phrase search, or synonym `sun flower`.
// If the search query is "sunflower", the split word "Sun Flower" will match some documents.
// If the query is `sunflower wilting`, then we should make sure that
// the proximity condition `flower wilting: sprx N` also comes with the condition
// `sun wilting: sprx N+1`, but this is not the exact condition we use for now.
// the sprximity condition `flower wilting: sprx N` also comes with the condition
// `sun wilting: sprx N+1`. TODO: this is not the exact condition we use for now.
// We only check that the phrase `sun flower` exists and `flower wilting: sprx N`, which
// is better than nothing but not the best.
{
@ -139,7 +139,7 @@ fn create_edge_cases_index() -> TempIndex {
},
{
"id": 3,
// This document matches the query `sunflower wilting`, but the sprximity condition
// This document matches the query `sunflower wilting`, but the sprximity condition
// between `sunflower` and `wilting` cannot be through the split-word `Sun Flower`
// which would reduce to only `flower` and `wilting` being in sprximity.
"text": "A flower wilting under the sun, unlike a sunflower"
@ -299,7 +299,7 @@ fn test_proximity_split_word() {
let SearchResult { documents_ids, .. } = s.execute().unwrap();
insta::assert_snapshot!(format!("{documents_ids:?}"), @"[2, 4, 5, 1, 3]");
let texts = collect_field_values(&index, &txn, "text", &documents_ids);
// "2" and "4" should be swapped ideally
// TODO: "2" and "4" should be swapped ideally
insta::assert_debug_snapshot!(texts, @r###"
[
"\"Sun Flower sounds like the title of a painting, maybe about a flower wilting under the heat.\"",
@ -316,7 +316,7 @@ fn test_proximity_split_word() {
let SearchResult { documents_ids, .. } = s.execute().unwrap();
insta::assert_snapshot!(format!("{documents_ids:?}"), @"[2, 4, 1]");
let texts = collect_field_values(&index, &txn, "text", &documents_ids);
// "2" and "4" should be swapped ideally
// TODO: "2" and "4" should be swapped ideally
insta::assert_debug_snapshot!(texts, @r###"
[
"\"Sun Flower sounds like the title of a painting, maybe about a flower wilting under the heat.\"",
@ -341,7 +341,7 @@ fn test_proximity_split_word() {
let SearchResult { documents_ids, .. } = s.execute().unwrap();
insta::assert_snapshot!(format!("{documents_ids:?}"), @"[2, 4, 1]");
let texts = collect_field_values(&index, &txn, "text", &documents_ids);
// "2" and "4" should be swapped ideally
// TODO: "2" and "4" should be swapped ideally
insta::assert_debug_snapshot!(texts, @r###"
[
"\"Sun Flower sounds like the title of a painting, maybe about a flower wilting under the heat.\"",

View File

@ -2,8 +2,9 @@
This module tests the interactions between the proximity and typo ranking rules.
The proximity ranking rule should transform the query graph such that it
only contains the word pairs that it used to compute its bucket, but this is not currently
implemented.
only contains the word pairs that it used to compute its bucket.
TODO: This is not currently implemented.
*/
use crate::index::tests::TempIndex;
@ -63,7 +64,7 @@ fn test_trap_basic() {
let SearchResult { documents_ids, .. } = s.execute().unwrap();
insta::assert_snapshot!(format!("{documents_ids:?}"), @"[0, 1]");
let texts = collect_field_values(&index, &txn, "text", &documents_ids);
// This is incorrect, 1 should come before 0
// TODO: this is incorrect, 1 should come before 0
insta::assert_debug_snapshot!(texts, @r###"
[
"\"summer. holiday. sommer holidty\"",

View File

@ -571,8 +571,8 @@ fn test_typo_synonyms() {
s.terms_matching_strategy(TermsMatchingStrategy::All);
s.query("the fast brownish fox jumps over the lackadaisical dog");
// The interaction of ngrams + synonyms means that the multi-word synonyms end up having a typo cost.
// This is probably not what we want.
// TODO: is this correct? interaction of ngrams + synonyms means that the
// multi-word synonyms end up having a typo cost. This is probably not what we want.
let SearchResult { documents_ids, .. } = s.execute().unwrap();
insta::assert_snapshot!(format!("{documents_ids:?}"), @"[21, 0, 22]");
let texts = collect_field_values(&index, &txn, "text", &documents_ids);

View File

@ -89,6 +89,7 @@ Create a snapshot test of the given database.
- `exact_word_docids`
- `word_prefix_docids`
- `exact_word_prefix_docids`
- `docid_word_positions`
- `word_pair_proximity_docids`
- `word_prefix_pair_proximity_docids`
- `word_position_docids`
@ -216,6 +217,11 @@ pub fn snap_exact_word_prefix_docids(index: &Index) -> String {
&format!("{s:<16} {}", display_bitmap(&b))
})
}
pub fn snap_docid_word_positions(index: &Index) -> String {
make_db_snap_from_iter!(index, docid_word_positions, |((idx, s), b)| {
&format!("{idx:<6} {s:<16} {}", display_bitmap(&b))
})
}
pub fn snap_word_pair_proximity_docids(index: &Index) -> String {
make_db_snap_from_iter!(index, word_pair_proximity_docids, |((proximity, word1, word2), b)| {
&format!("{proximity:<2} {word1:<16} {word2:<16} {}", display_bitmap(&b))
@ -318,7 +324,7 @@ pub fn snap_field_distributions(index: &Index) -> String {
let rtxn = index.read_txn().unwrap();
let mut snap = String::new();
for (field, count) in index.field_distribution(&rtxn).unwrap() {
writeln!(&mut snap, "{field:<16} {count:<6} |").unwrap();
writeln!(&mut snap, "{field:<16} {count:<6}").unwrap();
}
snap
}
@ -328,7 +334,7 @@ pub fn snap_fields_ids_map(index: &Index) -> String {
let mut snap = String::new();
for field_id in fields_ids_map.ids() {
let name = fields_ids_map.name(field_id).unwrap();
writeln!(&mut snap, "{field_id:<3} {name:<16} |").unwrap();
writeln!(&mut snap, "{field_id:<3} {name:<16}").unwrap();
}
snap
}
@ -471,6 +477,9 @@ macro_rules! full_snap_of_db {
($index:ident, exact_word_prefix_docids) => {{
$crate::snapshot_tests::snap_exact_word_prefix_docids(&$index)
}};
($index:ident, docid_word_positions) => {{
$crate::snapshot_tests::snap_docid_word_positions(&$index)
}};
($index:ident, word_pair_proximity_docids) => {{
$crate::snapshot_tests::snap_word_pair_proximity_docids(&$index)
}};

View File

@ -1,7 +1,7 @@
---
source: milli/src/index.rs
---
age 1 |
id 2 |
name 2 |
age 1
id 2
name 2

View File

@ -1,7 +1,7 @@
---
source: milli/src/index.rs
---
age 1 |
id 2 |
name 2 |
age 1
id 2
name 2

View File

@ -23,6 +23,7 @@ impl<'t, 'u, 'i> ClearDocuments<'t, 'u, 'i> {
exact_word_docids,
word_prefix_docids,
exact_word_prefix_docids,
docid_word_positions,
word_pair_proximity_docids,
word_prefix_pair_proximity_docids,
prefix_word_pair_proximity_docids,
@ -79,6 +80,7 @@ impl<'t, 'u, 'i> ClearDocuments<'t, 'u, 'i> {
exact_word_docids.clear(self.wtxn)?;
word_prefix_docids.clear(self.wtxn)?;
exact_word_prefix_docids.clear(self.wtxn)?;
docid_word_positions.clear(self.wtxn)?;
word_pair_proximity_docids.clear(self.wtxn)?;
word_prefix_pair_proximity_docids.clear(self.wtxn)?;
prefix_word_pair_proximity_docids.clear(self.wtxn)?;
@ -139,6 +141,7 @@ mod tests {
assert!(index.word_docids.is_empty(&rtxn).unwrap());
assert!(index.word_prefix_docids.is_empty(&rtxn).unwrap());
assert!(index.docid_word_positions.is_empty(&rtxn).unwrap());
assert!(index.word_pair_proximity_docids.is_empty(&rtxn).unwrap());
assert!(index.field_id_word_count_docids.is_empty(&rtxn).unwrap());
assert!(index.word_prefix_pair_proximity_docids.is_empty(&rtxn).unwrap());

View File

@ -1,5 +1,5 @@
use std::collections::btree_map::Entry;
use std::collections::{BTreeSet, HashMap, HashSet};
use std::collections::{HashMap, HashSet};
use fst::IntoStreamer;
use heed::types::{ByteSlice, DecodeIgnore, Str, UnalignedSlice};
@ -15,7 +15,8 @@ use crate::facet::FacetType;
use crate::heed_codec::facet::FieldDocIdFacetCodec;
use crate::heed_codec::CboRoaringBitmapCodec;
use crate::{
ExternalDocumentsIds, FieldId, FieldIdMapMissingEntry, Index, Result, RoaringBitmapCodec, BEU32,
ExternalDocumentsIds, FieldId, FieldIdMapMissingEntry, Index, Result, RoaringBitmapCodec,
SmallString32, BEU32,
};
pub struct DeleteDocuments<'t, 'u, 'i> {
@ -71,6 +72,7 @@ impl std::fmt::Display for DeletionStrategy {
pub(crate) struct DetailedDocumentDeletionResult {
pub deleted_documents: u64,
pub remaining_documents: u64,
pub soft_deletion_used: bool,
}
impl<'t, 'u, 'i> DeleteDocuments<'t, 'u, 'i> {
@ -107,8 +109,11 @@ impl<'t, 'u, 'i> DeleteDocuments<'t, 'u, 'i> {
Some(docid)
}
pub fn execute(self) -> Result<DocumentDeletionResult> {
let DetailedDocumentDeletionResult { deleted_documents, remaining_documents } =
self.execute_inner()?;
let DetailedDocumentDeletionResult {
deleted_documents,
remaining_documents,
soft_deletion_used: _,
} = self.execute_inner()?;
Ok(DocumentDeletionResult { deleted_documents, remaining_documents })
}
@ -129,6 +134,7 @@ impl<'t, 'u, 'i> DeleteDocuments<'t, 'u, 'i> {
return Ok(DetailedDocumentDeletionResult {
deleted_documents: 0,
remaining_documents: 0,
soft_deletion_used: false,
});
}
@ -144,6 +150,7 @@ impl<'t, 'u, 'i> DeleteDocuments<'t, 'u, 'i> {
return Ok(DetailedDocumentDeletionResult {
deleted_documents: current_documents_ids_len,
remaining_documents,
soft_deletion_used: false,
});
}
@ -212,6 +219,7 @@ impl<'t, 'u, 'i> DeleteDocuments<'t, 'u, 'i> {
return Ok(DetailedDocumentDeletionResult {
deleted_documents: self.to_delete_docids.len(),
remaining_documents: documents_ids.len(),
soft_deletion_used: true,
});
}
@ -224,6 +232,7 @@ impl<'t, 'u, 'i> DeleteDocuments<'t, 'u, 'i> {
exact_word_docids,
word_prefix_docids,
exact_word_prefix_docids,
docid_word_positions,
word_pair_proximity_docids,
field_id_word_count_docids,
word_prefix_pair_proximity_docids,
@ -242,9 +251,23 @@ impl<'t, 'u, 'i> DeleteDocuments<'t, 'u, 'i> {
facet_id_is_empty_docids,
documents,
} = self.index;
// Remove from the documents database
// Retrieve the words contained in the documents.
let mut words = Vec::new();
for docid in &self.to_delete_docids {
documents.delete(self.wtxn, &BEU32::new(docid))?;
// We iterate through the words positions of the document id, retrieve the word and delete the positions.
// We create an iterator to be able to get the content and delete the key-value itself.
// It's faster to acquire a cursor to get and delete, as we avoid traversing the LMDB B-Tree two times but only once.
let mut iter = docid_word_positions.prefix_iter_mut(self.wtxn, &(docid, ""))?;
while let Some(result) = iter.next() {
let ((_docid, word), _positions) = result?;
// This boolean will indicate if we must remove this word from the words FST.
words.push((SmallString32::from(word), false));
// safety: we don't keep references from inside the LMDB database.
unsafe { iter.del_current()? };
}
}
// We acquire the current external documents ids map...
// Note that its soft-deleted document ids field will be equal to the `to_delete_docids`
@ -255,27 +278,42 @@ impl<'t, 'u, 'i> DeleteDocuments<'t, 'u, 'i> {
let new_external_documents_ids = new_external_documents_ids.into_static();
self.index.put_external_documents_ids(self.wtxn, &new_external_documents_ids)?;
let mut words_to_keep = BTreeSet::default();
let mut words_to_delete = BTreeSet::default();
// Maybe we can improve the get performance of the words
// if we sort the words first, keeping the LMDB pages in cache.
words.sort_unstable();
// We iterate over the words and delete the documents ids
// from the word docids database.
remove_from_word_docids(
self.wtxn,
word_docids,
&self.to_delete_docids,
&mut words_to_keep,
&mut words_to_delete,
)?;
remove_from_word_docids(
self.wtxn,
exact_word_docids,
&self.to_delete_docids,
&mut words_to_keep,
&mut words_to_delete,
)?;
for (word, must_remove) in &mut words {
remove_from_word_docids(
self.wtxn,
word_docids,
word.as_str(),
must_remove,
&self.to_delete_docids,
)?;
remove_from_word_docids(
self.wtxn,
exact_word_docids,
word.as_str(),
must_remove,
&self.to_delete_docids,
)?;
}
// We construct an FST set that contains the words to delete from the words FST.
let words_to_delete = fst::Set::from_iter(words_to_delete.difference(&words_to_keep))?;
let words_to_delete =
words.iter().filter_map(
|(word, must_remove)| {
if *must_remove {
Some(word.as_str())
} else {
None
}
},
);
let words_to_delete = fst::Set::from_iter(words_to_delete)?;
let new_words_fst = {
// We retrieve the current words FST from the database.
@ -434,6 +472,7 @@ impl<'t, 'u, 'i> DeleteDocuments<'t, 'u, 'i> {
Ok(DetailedDocumentDeletionResult {
deleted_documents: self.to_delete_docids.len(),
remaining_documents: documents_ids.len(),
soft_deletion_used: false,
})
}
@ -493,24 +532,23 @@ fn remove_from_word_prefix_docids(
fn remove_from_word_docids(
txn: &mut heed::RwTxn,
db: &heed::Database<Str, RoaringBitmapCodec>,
word: &str,
must_remove: &mut bool,
to_remove: &RoaringBitmap,
words_to_keep: &mut BTreeSet<String>,
words_to_remove: &mut BTreeSet<String>,
) -> Result<()> {
// We create an iterator to be able to get the content and delete the word docids.
// It's faster to acquire a cursor to get and delete or put, as we avoid traversing
// the LMDB B-Tree two times but only once.
let mut iter = db.iter_mut(txn)?;
while let Some((key, mut docids)) = iter.next().transpose()? {
let previous_len = docids.len();
docids -= to_remove;
if docids.is_empty() {
// safety: we don't keep references from inside the LMDB database.
unsafe { iter.del_current()? };
words_to_remove.insert(key.to_owned());
} else {
words_to_keep.insert(key.to_owned());
if docids.len() != previous_len {
let mut iter = db.prefix_iter_mut(txn, word)?;
if let Some((key, mut docids)) = iter.next().transpose()? {
if key == word {
let previous_len = docids.len();
docids -= to_remove;
if docids.is_empty() {
// safety: we don't keep references from inside the LMDB database.
unsafe { iter.del_current()? };
*must_remove = true;
} else if docids.len() != previous_len {
let key = key.to_owned();
// safety: we don't keep references from inside the LMDB database.
unsafe { iter.put_current(&key, &docids)? };
@ -589,7 +627,7 @@ mod tests {
use super::*;
use crate::index::tests::TempIndex;
use crate::{db_snap, Filter, Search};
use crate::{db_snap, Filter};
fn delete_documents<'t>(
wtxn: &mut RwTxn<'t, '_>,
@ -1161,52 +1199,4 @@ mod tests {
DeletionStrategy::AlwaysSoft,
);
}
#[test]
fn delete_words_exact_attributes() {
let index = TempIndex::new();
index
.update_settings(|settings| {
settings.set_primary_key(S("id"));
settings.set_searchable_fields(vec![S("text"), S("exact")]);
settings.set_exact_attributes(vec![S("exact")].into_iter().collect());
})
.unwrap();
index
.add_documents(documents!([
{ "id": 0, "text": "hello" },
{ "id": 1, "exact": "hello"}
]))
.unwrap();
db_snap!(index, word_docids, 1, @r###"
hello [0, ]
"###);
db_snap!(index, exact_word_docids, 1, @r###"
hello [1, ]
"###);
db_snap!(index, words_fst, 1, @"300000000000000001084cfcfc2ce1000000016000000090ea47f");
let mut wtxn = index.write_txn().unwrap();
let deleted_internal_ids =
delete_documents(&mut wtxn, &index, &["1"], DeletionStrategy::AlwaysHard);
wtxn.commit().unwrap();
db_snap!(index, word_docids, 2, @r###"
hello [0, ]
"###);
db_snap!(index, exact_word_docids, 2, @"");
db_snap!(index, words_fst, 2, @"300000000000000001084cfcfc2ce1000000016000000090ea47f");
insta::assert_snapshot!(format!("{deleted_internal_ids:?}"), @"[1]");
let txn = index.read_txn().unwrap();
let words = index.words_fst(&txn).unwrap().into_stream().into_strs().unwrap();
insta::assert_snapshot!(format!("{words:?}"), @r###"["hello"]"###);
let mut s = Search::new(&txn, &index);
s.query("hello");
let crate::SearchResult { documents_ids, .. } = s.execute().unwrap();
insta::assert_snapshot!(format!("{documents_ids:?}"), @"[0]");
}
}

View File

@ -1,6 +1,6 @@
use std::collections::HashMap;
use std::fs::File;
use std::io;
use std::{cmp, io};
use grenad::Sorter;
@ -54,10 +54,11 @@ pub fn extract_fid_word_count_docids<R: io::Read + io::Seek>(
}
for position in read_u32_ne_bytes(value) {
let (field_id, _) = relative_from_absolute_position(position);
let (field_id, position) = relative_from_absolute_position(position);
let word_count = position as u32 + 1;
let value = document_fid_wordcount.entry(field_id as FieldId).or_insert(0);
*value += 1;
*value = cmp::max(*value, word_count);
}
}
@ -82,7 +83,7 @@ fn drain_document_fid_wordcount_into_sorter(
let mut key_buffer = Vec::new();
for (fid, count) in document_fid_wordcount.drain() {
if count <= 30 {
if count <= 10 {
key_buffer.clear();
key_buffer.extend_from_slice(&fid.to_be_bytes());
key_buffer.push(count as u8);

View File

@ -325,6 +325,8 @@ fn send_and_extract_flattened_documents_data(
// send docid_word_positions_chunk to DB writer
let docid_word_positions_chunk =
unsafe { as_cloneable_grenad(&docid_word_positions_chunk)? };
let _ = lmdb_writer_sx
.send(Ok(TypedChunk::DocidWordPositions(docid_word_positions_chunk.clone())));
let _ =
lmdb_writer_sx.send(Ok(TypedChunk::ScriptLanguageDocids(script_language_pair)));

View File

@ -2,7 +2,7 @@ use std::sync::Arc;
use memmap2::Mmap;
/// Wrapper around Mmap allowing to virtually clone grenad-chunks
/// Wrapper around Mmap allowing to virtualy clone grenad-chunks
/// in a parallel process like the indexing.
#[derive(Debug, Clone)]
pub struct ClonableMmap {

View File

@ -4,6 +4,7 @@ use std::result::Result as StdResult;
use roaring::RoaringBitmap;
use super::read_u32_ne_bytes;
use crate::heed_codec::CboRoaringBitmapCodec;
use crate::update::index_documents::transform::Operation;
use crate::Result;
@ -21,6 +22,10 @@ pub fn concat_u32s_array<'a>(_key: &[u8], values: &[Cow<'a, [u8]>]) -> Result<Co
}
}
pub fn roaring_bitmap_from_u32s_array(slice: &[u8]) -> RoaringBitmap {
read_u32_ne_bytes(slice).collect()
}
pub fn serialize_roaring_bitmap(bitmap: &RoaringBitmap, buffer: &mut Vec<u8>) -> io::Result<()> {
buffer.clear();
buffer.reserve(bitmap.serialized_size());

View File

@ -14,8 +14,8 @@ pub use grenad_helpers::{
};
pub use merge_functions::{
concat_u32s_array, keep_first, keep_latest_obkv, merge_cbo_roaring_bitmaps,
merge_obkvs_and_operations, merge_roaring_bitmaps, merge_two_obkvs, serialize_roaring_bitmap,
MergeFn,
merge_obkvs_and_operations, merge_roaring_bitmaps, merge_two_obkvs,
roaring_bitmap_from_u32s_array, serialize_roaring_bitmap, MergeFn,
};
use crate::MAX_WORD_LENGTH;

View File

@ -236,7 +236,7 @@ where
primary_key,
fields_ids_map,
field_distribution,
new_external_documents_ids,
mut external_documents_ids,
new_documents_ids,
replaced_documents_ids,
documents_count,
@ -363,6 +363,9 @@ where
deletion_builder.delete_documents(&replaced_documents_ids);
let deleted_documents_result = deletion_builder.execute_inner()?;
debug!("{} documents actually deleted", deleted_documents_result.deleted_documents);
if !deleted_documents_result.soft_deletion_used {
external_documents_ids.delete_soft_deleted_documents_ids_from_fsts()?;
}
}
let index_documents_ids = self.index.documents_ids(self.wtxn)?;
@ -442,9 +445,6 @@ where
self.index.put_primary_key(self.wtxn, &primary_key)?;
// We write the external documents ids into the main database.
let mut external_documents_ids = self.index.external_documents_ids(self.wtxn)?;
external_documents_ids.insert_ids(&new_external_documents_ids)?;
let external_documents_ids = external_documents_ids.into_static();
self.index.put_external_documents_ids(self.wtxn, &external_documents_ids)?;
let all_documents_ids = index_documents_ids | new_documents_ids;
@ -2471,11 +2471,11 @@ mod tests {
{
"id": 3,
"text": "a a a a a a a a a a a a a a a a a
a a a a a a a a a a a a a a a a a a a a a a a a a a
a a a a a a a a a a a a a a a a a a a a a a a a a a
a a a a a a a a a a a a a a a a a a a a a a a a a a
a a a a a a a a a a a a a a a a a a a a a a a a a a
a a a a a a a a a a a a a a a a a a a a a a a a a a
a a a a a a a a a a a a a a a a a a a a a a a a a a
a a a a a a a a a a a a a a a a a a a a a a a a a a
a a a a a a a a a a a a a a a a a a a a a a a a a a
a a a a a a a a a a a a a a a a a a a a a a a a a a
a a a a a a a a a a a a a a a a a a a a a a a a a a
a a a a a a a a a a a a a a a a a a a a a "
}
]))
@ -2513,171 +2513,6 @@ mod tests {
db_snap!(index, word_fid_docids, 3, @"4c2e2a1832e5802796edc1638136d933");
db_snap!(index, word_position_docids, 3, @"74f556b91d161d997a89468b4da1cb8f");
}
#[test]
fn reproduce_the_bug() {
/*
[milli/examples/fuzz.rs:69] &batches = [
Batch(
[
AddDoc(
{ "id": 1, "doggo": "bernese" }, => internal 0
),
],
),
Batch(
[
DeleteDoc(
1, => delete internal 0
),
AddDoc(
{ "id": 0, "catto": "jorts" }, => internal 1
),
],
),
Batch(
[
AddDoc(
{ "id": 1, "catto": "jorts" }, => internal 2
),
],
),
]
*/
let mut index = TempIndex::new();
index.index_documents_config.deletion_strategy = DeletionStrategy::AlwaysHard;
// START OF BATCH
println!("--- ENTERING BATCH 1");
let mut wtxn = index.write_txn().unwrap();
let builder = IndexDocuments::new(
&mut wtxn,
&index,
&index.indexer_config,
index.index_documents_config.clone(),
|_| (),
|| false,
)
.unwrap();
// OP
let documents = documents!([
{ "id": 1, "doggo": "bernese" },
]);
let (builder, added) = builder.add_documents(documents).unwrap();
insta::assert_display_snapshot!(added.unwrap(), @"1");
// FINISHING
let addition = builder.execute().unwrap();
insta::assert_debug_snapshot!(addition, @r###"
DocumentAdditionResult {
indexed_documents: 1,
number_of_documents: 1,
}
"###);
wtxn.commit().unwrap();
db_snap!(index, documents, @r###"
{"id":1,"doggo":"bernese"}
"###);
db_snap!(index, external_documents_ids, @r###"
soft:
hard:
1 0
"###);
// A first batch of documents has been inserted
// BATCH 2
println!("--- ENTERING BATCH 2");
let mut wtxn = index.write_txn().unwrap();
let builder = IndexDocuments::new(
&mut wtxn,
&index,
&index.indexer_config,
index.index_documents_config.clone(),
|_| (),
|| false,
)
.unwrap();
let (builder, removed) = builder.remove_documents(vec![S("1")]).unwrap();
insta::assert_display_snapshot!(removed.unwrap(), @"1");
let documents = documents!([
{ "id": 0, "catto": "jorts" },
]);
let (builder, added) = builder.add_documents(documents).unwrap();
insta::assert_display_snapshot!(added.unwrap(), @"1");
let addition = builder.execute().unwrap();
insta::assert_debug_snapshot!(addition, @r###"
DocumentAdditionResult {
indexed_documents: 1,
number_of_documents: 1,
}
"###);
wtxn.commit().unwrap();
db_snap!(index, documents, @r###"
{"id":0,"catto":"jorts"}
"###);
db_snap!(index, external_documents_ids, @r###"
soft:
hard:
0 1
"###);
db_snap!(index, soft_deleted_documents_ids, @"[]");
// BATCH 3
println!("--- ENTERING BATCH 3");
let mut wtxn = index.write_txn().unwrap();
let builder = IndexDocuments::new(
&mut wtxn,
&index,
&index.indexer_config,
index.index_documents_config.clone(),
|_| (),
|| false,
)
.unwrap();
let documents = documents!([
{ "id": 1, "catto": "jorts" },
]);
let (builder, added) = builder.add_documents(documents).unwrap();
insta::assert_display_snapshot!(added.unwrap(), @"1");
let addition = builder.execute().unwrap();
insta::assert_debug_snapshot!(addition, @r###"
DocumentAdditionResult {
indexed_documents: 1,
number_of_documents: 2,
}
"###);
wtxn.commit().unwrap();
db_snap!(index, documents, @r###"
{"id":1,"catto":"jorts"}
{"id":0,"catto":"jorts"}
"###);
// Ensuring all the returned IDs actually exists
let rtxn = index.read_txn().unwrap();
let res = index.search(&rtxn).execute().unwrap();
index.documents(&rtxn, res.documents_ids).unwrap();
db_snap!(index, docid_word_positions, 3, @"5287245332627675740b28bd46e1cde1");
}
}

View File

@ -21,14 +21,15 @@ use crate::error::{Error, InternalError, UserError};
use crate::index::{db_name, main_key};
use crate::update::{AvailableDocumentsIds, ClearDocuments, UpdateIndexingStep};
use crate::{
FieldDistribution, FieldId, FieldIdMapMissingEntry, FieldsIdsMap, Index, Result, BEU32,
ExternalDocumentsIds, FieldDistribution, FieldId, FieldIdMapMissingEntry, FieldsIdsMap, Index,
Result, BEU32,
};
pub struct TransformOutput {
pub primary_key: String,
pub fields_ids_map: FieldsIdsMap,
pub field_distribution: FieldDistribution,
pub new_external_documents_ids: fst::Map<Cow<'static, [u8]>>,
pub external_documents_ids: ExternalDocumentsIds<'static>,
pub new_documents_ids: RoaringBitmap,
pub replaced_documents_ids: RoaringBitmap,
pub documents_count: usize,
@ -567,6 +568,8 @@ impl<'a, 'i> Transform<'a, 'i> {
}))?
.to_string();
let mut external_documents_ids = self.index.external_documents_ids(wtxn)?;
// We create a final writer to write the new documents in order from the sorter.
let mut writer = create_writer(
self.indexer_settings.chunk_compression_type,
@ -648,12 +651,13 @@ impl<'a, 'i> Transform<'a, 'i> {
fst_new_external_documents_ids_builder.insert(key, value)
})?;
let new_external_documents_ids = fst_new_external_documents_ids_builder.into_map();
external_documents_ids.insert_ids(&new_external_documents_ids)?;
Ok(TransformOutput {
primary_key,
fields_ids_map: self.fields_ids_map,
field_distribution,
new_external_documents_ids: new_external_documents_ids.map_data(Cow::Owned).unwrap(),
external_documents_ids: external_documents_ids.into_static(),
new_documents_ids: self.new_documents_ids,
replaced_documents_ids: self.replaced_documents_ids,
documents_count: self.documents_count,
@ -687,8 +691,7 @@ impl<'a, 'i> Transform<'a, 'i> {
let new_external_documents_ids = {
let mut external_documents_ids = self.index.external_documents_ids(wtxn)?;
external_documents_ids.delete_soft_deleted_documents_ids_from_fsts()?;
// This call should be free and can't fail since the previous method merged both fsts.
external_documents_ids.into_static().to_fst()?.into_owned()
external_documents_ids
};
let documents_ids = self.index.documents_ids(wtxn)?;
@ -773,7 +776,7 @@ impl<'a, 'i> Transform<'a, 'i> {
primary_key,
fields_ids_map: new_fields_ids_map,
field_distribution,
new_external_documents_ids,
external_documents_ids: new_external_documents_ids.into_static(),
new_documents_ids: documents_ids,
replaced_documents_ids: RoaringBitmap::default(),
documents_count,

View File

@ -7,19 +7,24 @@ use std::io;
use charabia::{Language, Script};
use grenad::MergerBuilder;
use heed::types::ByteSlice;
use heed::RwTxn;
use heed::{BytesDecode, RwTxn};
use roaring::RoaringBitmap;
use super::helpers::{
self, merge_ignore_values, serialize_roaring_bitmap, valid_lmdb_key, CursorClonableMmap,
self, merge_ignore_values, roaring_bitmap_from_u32s_array, serialize_roaring_bitmap,
valid_lmdb_key, CursorClonableMmap,
};
use super::{ClonableMmap, MergeFn};
use crate::facet::FacetType;
use crate::update::facet::FacetsUpdate;
use crate::update::index_documents::helpers::as_cloneable_grenad;
use crate::{lat_lng_to_xyz, CboRoaringBitmapCodec, DocumentId, GeoPoint, Index, Result};
use crate::{
lat_lng_to_xyz, BoRoaringBitmapCodec, CboRoaringBitmapCodec, DocumentId, GeoPoint, Index,
Result,
};
pub(crate) enum TypedChunk {
DocidWordPositions(grenad::Reader<CursorClonableMmap>),
FieldIdDocidFacetStrings(grenad::Reader<CursorClonableMmap>),
FieldIdDocidFacetNumbers(grenad::Reader<CursorClonableMmap>),
Documents(grenad::Reader<CursorClonableMmap>),
@ -51,6 +56,29 @@ pub(crate) fn write_typed_chunk_into_index(
) -> Result<(RoaringBitmap, bool)> {
let mut is_merged_database = false;
match typed_chunk {
TypedChunk::DocidWordPositions(docid_word_positions_iter) => {
write_entries_into_database(
docid_word_positions_iter,
&index.docid_word_positions,
wtxn,
index_is_empty,
|value, buffer| {
// ensure that values are unique and ordered
let positions = roaring_bitmap_from_u32s_array(value);
BoRoaringBitmapCodec::serialize_into(&positions, buffer);
Ok(buffer)
},
|new_values, db_values, buffer| {
let new_values = roaring_bitmap_from_u32s_array(new_values);
let positions = match BoRoaringBitmapCodec::bytes_decode(db_values) {
Some(db_values) => new_values | db_values,
None => new_values, // should not happen
};
BoRoaringBitmapCodec::serialize_into(&positions, buffer);
Ok(())
},
)?;
}
TypedChunk::Documents(obkv_documents_iter) => {
let mut cursor = obkv_documents_iter.into_cursor()?;
while let Some((key, value)) = cursor.move_on_next()? {

View File

@ -14,7 +14,7 @@ use crate::error::UserError;
use crate::index::{DEFAULT_MIN_WORD_LEN_ONE_TYPO, DEFAULT_MIN_WORD_LEN_TWO_TYPOS};
use crate::update::index_documents::IndexDocumentsMethod;
use crate::update::{IndexDocuments, UpdateIndexingStep};
use crate::{FieldsIdsMap, Index, Result};
use crate::{FieldsIdsMap, Index, OrderBy, Result};
#[derive(Debug, Clone, PartialEq, Eq, Copy)]
pub enum Setting<T> {
@ -122,6 +122,7 @@ pub struct Settings<'a, 't, 'u, 'i> {
/// Attributes on which typo tolerance is disabled.
exact_attributes: Setting<HashSet<String>>,
max_values_per_facet: Setting<usize>,
sort_facet_values_by: Setting<HashMap<String, OrderBy>>,
pagination_max_total_hits: Setting<usize>,
}
@ -149,6 +150,7 @@ impl<'a, 't, 'u, 'i> Settings<'a, 't, 'u, 'i> {
min_word_len_one_typo: Setting::NotSet,
exact_attributes: Setting::NotSet,
max_values_per_facet: Setting::NotSet,
sort_facet_values_by: Setting::NotSet,
pagination_max_total_hits: Setting::NotSet,
indexer_config,
}
@ -275,6 +277,14 @@ impl<'a, 't, 'u, 'i> Settings<'a, 't, 'u, 'i> {
self.max_values_per_facet = Setting::Reset;
}
pub fn set_sort_facet_values_by(&mut self, value: HashMap<String, OrderBy>) {
self.sort_facet_values_by = Setting::Set(value);
}
pub fn reset_sort_facet_values_by(&mut self) {
self.sort_facet_values_by = Setting::Reset;
}
pub fn set_pagination_max_total_hits(&mut self, value: usize) {
self.pagination_max_total_hits = Setting::Set(value);
}
@ -680,6 +690,20 @@ impl<'a, 't, 'u, 'i> Settings<'a, 't, 'u, 'i> {
Ok(())
}
fn update_sort_facet_values_by(&mut self) -> Result<()> {
match self.sort_facet_values_by.as_ref() {
Setting::Set(value) => {
self.index.put_sort_facet_values_by(self.wtxn, value)?;
}
Setting::Reset => {
self.index.delete_sort_facet_values_by(self.wtxn)?;
}
Setting::NotSet => (),
}
Ok(())
}
fn update_pagination_max_total_hits(&mut self) -> Result<()> {
match self.pagination_max_total_hits {
Setting::Set(max) => {
@ -714,6 +738,7 @@ impl<'a, 't, 'u, 'i> Settings<'a, 't, 'u, 'i> {
self.update_min_typo_word_len()?;
self.update_exact_words()?;
self.update_max_values_per_facet()?;
self.update_sort_facet_values_by()?;
self.update_pagination_max_total_hits()?;
// If there is new faceted fields we indicate that we must reindex as we must
@ -1515,6 +1540,7 @@ mod tests {
exact_words,
exact_attributes,
max_values_per_facet,
sort_facet_values_by,
pagination_max_total_hits,
} = settings;
assert!(matches!(searchable_fields, Setting::NotSet));
@ -1532,6 +1558,7 @@ mod tests {
assert!(matches!(exact_words, Setting::NotSet));
assert!(matches!(exact_attributes, Setting::NotSet));
assert!(matches!(max_values_per_facet, Setting::NotSet));
assert!(matches!(sort_facet_values_by, Setting::NotSet));
assert!(matches!(pagination_max_total_hits, Setting::NotSet));
})
.unwrap();

View File

@ -5,7 +5,7 @@ use heed::EnvOpenOptions;
use maplit::hashset;
use milli::documents::{DocumentsBatchBuilder, DocumentsBatchReader};
use milli::update::{IndexDocuments, IndexDocumentsConfig, IndexerConfig, Settings};
use milli::{FacetDistribution, Index, Object};
use milli::{FacetDistribution, Index, Object, OrderBy};
use serde_json::Deserializer;
#[test]
@ -63,12 +63,12 @@ fn test_facet_distribution_with_no_facet_values() {
let txn = index.read_txn().unwrap();
let mut distrib = FacetDistribution::new(&txn, &index);
distrib.facets(vec!["genres"]);
distrib.facets(vec![("genres", OrderBy::default())]);
let result = distrib.execute().unwrap();
assert_eq!(result["genres"].len(), 0);
let mut distrib = FacetDistribution::new(&txn, &index);
distrib.facets(vec!["tags"]);
distrib.facets(vec![("tags", OrderBy::default())]);
let result = distrib.execute().unwrap();
assert_eq!(result["tags"].len(), 2);
}