235 Commits

This Branch

This Branch

All Branches

Author	SHA1	Message	Date
Kerollmops	2a3b03138b	Use heed 0.8.1 with the RwIter append method	2020-07-05 19:50:28 +02:00
Kerollmops	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
Kerollmops	cd7e64b2b3	Allow users to set the arc cache size when indexing	2020-07-04 18:12:41 +02:00
Kerollmops	ac8353a64f	Merge pre-computed word attribute documents ids	2020-07-04 17:02:27 +02:00
Kerollmops	fea7cac206	Display the time it took to compute the word attribute documents ids	2020-07-04 15:18:38 +02:00
Kerollmops	46ced5c828	Introduce the RwIter append heed API	2020-07-04 12:34:10 +02:00
Kerollmops	7e7440c431	Finalize the LMDB indexing design	2020-07-01 22:45:43 +02:00
Kerollmops	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
Kerollmops	a3ac2623d5	Introduce multiple functions to clean up the code	2020-07-01 17:24:55 +02:00
Kerollmops	ac5cc7ddad	Introduce an Iterator yielding owned entries for the LruCache	2020-07-01 17:21:52 +02:00
Kerollmops	014a25697d	Use only one ARC cache based on the words	2020-07-01 12:03:18 +02:00
Kerollmops	fc4013a43f	Fix the ARC cache	2020-07-01 10:35:07 +02:00
Kerollmops	2fcae719ad	Use another LRU impl which uses hashbrown	2020-06-29 22:26:06 +02:00
Kerollmops	f98b615bf3	Replace the LRU by an Arc cache	2020-06-29 20:48:57 +02:00
Kerollmops	07abebfc46	Introduce a (too big) LRU cache	2020-06-29 18:15:03 +02:00
Kerollmops	5f0088594b	Index by writing directly into LMDB	2020-06-29 13:54:47 +02:00
Kerollmops	8453828a65	Update the README	2020-06-28 12:40:08 +02:00
Kerollmops	63cbeca64e	Skip all derived words when too short	2020-06-28 12:13:12 +02:00
Kerollmops	736f0f7560	Use the proximity instead of the attributes when searching for <= 7 proximities	2020-06-28 12:13:12 +02:00
Kerollmops	fe3be8f18a	Replace the HashMap by a Vec for attributes documents ids	2020-06-28 12:13:12 +02:00
Kerollmops	6a2834f2b0	Add a jobs parameter to set the number of threads the indexer uses	2020-06-28 12:13:10 +02:00
Kerollmops	7e16afbdce	Ignore documents which are not part of the candidates when exploring with A*	2020-06-24 15:06:45 +02:00
Kerollmops	1c7a9a4132	Remove the found documents from the candidates list	2020-06-24 15:00:26 +02:00
Kerollmops	50169b9798	Compute the full list of ids we are willing to find by attribute	2020-06-24 14:48:04 +02:00
Kerollmops	374ec6773f	Introduce a database to store all docids for a word and attribute	2020-06-22 19:24:20 +02:00
Kerollmops	a044cb6cc8	Clean up the warnings for prefix postings	2020-06-22 18:10:31 +02:00
Kerollmops	ba3e805981	Document the Index types and the internal LMDB databases	2020-06-22 18:09:22 +02:00
Kerollmops	2f0e1afd16	Introduce the roaring bitmap heed codec	2020-06-22 17:56:07 +02:00
Kerollmops	8148210860	Use the cache when retrieving the documents at the end	2020-06-21 12:25:19 +02:00
Kerollmops	1628a31efa	Cache the unions of the derived words positions	2020-06-20 15:38:10 +02:00
Kerollmops	115e0142d9	Add a feature flags to enable the export of stats	2020-06-20 13:25:42 +02:00
Kerollmops	beb49b24f6	Skip looking at connections for proximity 0	2020-06-20 13:19:03 +02:00
Kerollmops	c84012d655	Accept queries from standard input when not given as argument	2020-06-20 12:01:15 +02:00
Kerollmops	d6705d5529	Introduce the criterion dependency to bench the engine	2020-06-19 18:32:25 +02:00
Kerollmops	55a8941922	Optimize things	2020-06-19 17:48:17 +02:00
Kerollmops	a3ca80d20d	Ignore every proximities bigger or equal to 8	2020-06-18 15:42:46 +02:00
Kerollmops	3577de04b8	Reduce the number of KV lookups to the sucessfulls only	2020-06-16 12:58:29 +02:00
Kerollmops	e974e6b3c9	Acquire search intersections metrics	2020-06-16 12:10:23 +02:00
Kerollmops	8db16ff306	Add a cache to the contains_documents success function	2020-06-14 13:39:39 +02:00
Kerollmops	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
Kerollmops	69285b22d3	Check that an edges combination contains results	2020-06-13 11:16:02 +02:00
Kerollmops	b9cc6c10af	Introduce a function to ignore useless paths	2020-06-13 00:17:43 +02:00
Kerollmops	d02c5cb023	Fix node skipping by computing the accumulated proximity	2020-06-12 14:08:46 +02:00
Kerollmops	37a48489da	Reworked the best proximity algo a little bit	2020-06-12 12:53:08 +02:00
Kerollmops	302866ad73	Make the algo don't work with an astar	2020-06-11 17:43:06 +02:00
Kerollmops	0a83a86e65	Fix multiple bugs	2020-06-11 11:55:03 +02:00
Kerollmops	4e86ecf807	Retrieve the words before the intersect loops	2020-06-10 22:05:01 +02:00
Kerollmops	6ca3579cc0	Add more time debug measurements	2020-06-10 21:35:01 +02:00
Kerollmops	66a4b26811	Introduce a proximity based documents retriever	2020-06-10 16:54:28 +02:00
Kerollmops	78f27c0465	squash-me: Remove debugs	2020-06-10 16:29:46 +02:00