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Author	SHA1	Message	Date
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
Kerollmops	3ad883d7c7	squash-me: Make the dijkstra work even with different attributes	2020-06-10 16:27:02 +02:00
Kerollmops	fecd8ca54a	squash-me: It works! we must remove the debug after having added more tests	2020-06-10 14:20:35 +02:00
Kerollmops	13977d9338	squash-me	2020-06-09 23:06:59 +02:00
Kerollmops	5d5b827f1a	Squash-me	2020-06-09 17:32:25 +02:00
Kerollmops	2a6d6a7f69	Introduce a first draft of the best_proximity algorithm	2020-06-09 10:11:43 +02:00
Kerollmops	dfdaceb410	Introduce a first basic working positions-based engine	2020-06-05 20:13:19 +02:00
Kerollmops	f51a63e4ef	Store documents ids under attribute ids	2020-06-05 16:32:14 +02:00