adb1038b26
Add a jobs parameter to set the number of threads the indexer uses
2020-07-06 12:17:17 +02:00
2a3b03138b
Use heed 0.8.1 with the RwIter append method
2020-07-05 19:50:28 +02:00
ec1023e790
Intersect document ids by inverse popularity of the words
...
This reduces the worst request we had which took 56s to now took 3s ("the best of the do").
2020-07-05 19:33:51 +02:00
cd7e64b2b3
Allow users to set the arc cache size when indexing
2020-07-04 18:12:41 +02:00
ac8353a64f
Merge pre-computed word attribute documents ids
2020-07-04 17:02:27 +02:00
fea7cac206
Display the time it took to compute the word attribute documents ids
2020-07-04 15:18:38 +02:00
46ced5c828
Introduce the RwIter append heed API
2020-07-04 12:34:10 +02:00
7e7440c431
Finalize the LMDB indexing design
2020-07-01 22:45:43 +02:00
2ae3f40971
Make the indexer ignore certain words
...
This is a preparation for making the indexing fully parallel by making the
indexer only be aware of certain words for each threads to avoid postings lists
conflicts for each words
2020-07-01 17:49:46 +02:00
a3ac2623d5
Introduce multiple functions to clean up the code
2020-07-01 17:24:55 +02:00
ac5cc7ddad
Introduce an Iterator yielding owned entries for the LruCache
2020-07-01 17:21:52 +02:00
014a25697d
Use only one ARC cache based on the words
2020-07-01 12:03:18 +02:00
fc4013a43f
Fix the ARC cache
2020-07-01 10:35:07 +02:00
2fcae719ad
Use another LRU impl which uses hashbrown
2020-06-29 22:26:06 +02:00
f98b615bf3
Replace the LRU by an Arc cache
2020-06-29 20:48:57 +02:00
07abebfc46
Introduce a (too big) LRU cache
2020-06-29 18:15:03 +02:00
5f0088594b
Index by writing directly into LMDB
2020-06-29 13:54:47 +02:00
8453828a65
Update the README
2020-06-28 12:40:08 +02:00
63cbeca64e
Skip all derived words when too short
2020-06-28 12:13:12 +02:00
736f0f7560
Use the proximity instead of the attributes when searching for <= 7 proximities
2020-06-28 12:13:12 +02:00
fe3be8f18a
Replace the HashMap by a Vec for attributes documents ids
2020-06-28 12:13:12 +02:00
6a2834f2b0
Add a jobs parameter to set the number of threads the indexer uses
2020-06-28 12:13:10 +02:00
7e16afbdce
Ignore documents which are not part of the candidates when exploring with A*
2020-06-24 15:06:45 +02:00
1c7a9a4132
Remove the found documents from the candidates list
2020-06-24 15:00:26 +02:00
50169b9798
Compute the full list of ids we are willing to find by attribute
2020-06-24 14:48:04 +02:00
374ec6773f
Introduce a database to store all docids for a word and attribute
2020-06-22 19:24:20 +02:00
a044cb6cc8
Clean up the warnings for prefix postings
2020-06-22 18:10:31 +02:00
ba3e805981
Document the Index types and the internal LMDB databases
2020-06-22 18:09:22 +02:00
2f0e1afd16
Introduce the roaring bitmap heed codec
2020-06-22 17:56:07 +02:00
8148210860
Use the cache when retrieving the documents at the end
2020-06-21 12:25:19 +02:00
1628a31efa
Cache the unions of the derived words positions
2020-06-20 15:38:10 +02:00
115e0142d9
Add a feature flags to enable the export of stats
2020-06-20 13:25:42 +02:00
beb49b24f6
Skip looking at connections for proximity 0
2020-06-20 13:19:03 +02:00
c84012d655
Accept queries from standard input when not given as argument
2020-06-20 12:01:15 +02:00
d6705d5529
Introduce the criterion dependency to bench the engine
2020-06-19 18:32:25 +02:00
55a8941922
Optimize things
2020-06-19 17:48:17 +02:00
a3ca80d20d
Ignore every proximities bigger or equal to 8
2020-06-18 15:42:46 +02:00
3577de04b8
Reduce the number of KV lookups to the sucessfulls only
2020-06-16 12:58:29 +02:00
e974e6b3c9
Acquire search intersections metrics
2020-06-16 12:10:23 +02:00
8db16ff306
Add a cache to the contains_documents success function
2020-06-14 13:39:39 +02:00
a8cda248b4
Introduce a customized A* algorithm.
...
This custom algo lazily compute the intersections between words, to avoid too much set operations and database reads
2020-06-14 12:51:57 +02:00
69285b22d3
Check that an edges combination contains results
2020-06-13 11:16:02 +02:00
b9cc6c10af
Introduce a function to ignore useless paths
2020-06-13 00:17:43 +02:00
d02c5cb023
Fix node skipping by computing the accumulated proximity
2020-06-12 14:08:46 +02:00
37a48489da
Reworked the best proximity algo a little bit
2020-06-12 12:53:08 +02:00
302866ad73
Make the algo don't work with an astar
2020-06-11 17:43:06 +02:00
0a83a86e65
Fix multiple bugs
2020-06-11 11:55:03 +02:00
4e86ecf807
Retrieve the words before the intersect loops
2020-06-10 22:05:01 +02:00
6ca3579cc0
Add more time debug measurements
2020-06-10 21:35:01 +02:00
66a4b26811
Introduce a proximity based documents retriever
2020-06-10 16:54:28 +02:00
