1168 Commits

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Author	SHA1	Message	Date
Kerollmops	5664c37539	Introduce an heed codec that reduce the size of small amount of serialized integers	2020-09-07 20:06:23 +02:00
Kerollmops	3e2250423c	Introduce the average-number-of-positions infos subcommand	2020-09-07 15:26:42 +02:00
Kerollmops	ea605b499c	Introduce two new infos subcommands	2020-09-07 14:56:48 +02:00
Clément Renault	bb1ab428db	Use another function to define the proximity	2020-09-06 17:55:07 +02:00
Clément Renault	f928b91e9d	Specify the exact rev for the near-proximity dep	2020-09-06 17:21:38 +02:00
Clément Renault	dec460ce52	Fix the infos binary and add commands	2020-09-06 17:14:20 +02:00
Clément Renault	daa3673c1c	Invert the word docid positions key order	2020-09-06 10:30:53 +02:00
Clément Renault	c2405bcae2	Prefer using the word_docids db to create the words-fst	2020-09-06 10:23:56 +02:00
Kerollmops	4ca9472e02	Fix the minimum proximity len	2020-09-06 10:19:34 +02:00
Clément Renault	1c504471d3	Introduce the plane-sweep algorithm	2020-09-05 18:25:27 +02:00
Clément Renault	dc88a86259	Store the word positions under the documents	2020-09-05 18:03:06 +02:00
Kerollmops	580ed1119a	Make the engine to return csv string records as documents and headers	2020-08-31 19:02:00 +02:00
Clément Renault	bad0663138	Come back to the old tokenizer	2020-08-31 13:34:38 +02:00
Kerollmops	220ba0785c	Make the front-end to throttle the request by 100ms	2020-08-31 13:34:35 +02:00
Clément Renault	4afc4d0751	Use the groups of four positions to speed up disjunctions tests	2020-08-30 16:25:11 +02:00
Clément Renault	605f75b56f	Add the words grouped by four positions in the infos binary	2020-08-29 18:23:33 +02:00
Clément Renault	ad5cafbfed	Introduce a database to store docids in groups of four positions	2020-08-29 17:42:55 +02:00
Clément Renault	3db517548d	Move the documents back into the LMDB database	2020-08-29 15:14:04 +02:00
Clément Renault	816db7a0aa	Improve the RoaringBitmap codec to reserve enough vector space	2020-08-29 11:21:30 +02:00
Clément Renault	3fe497e129	Improve the Mtbl heed codec to only encode MTBL databases	2020-08-29 11:20:39 +02:00
Clément Renault	21aafd603c	Make sure the first document is associated to the document id 0	2020-08-29 10:56:40 +02:00
Clément Renault	0a44ff86ab	Put the documents MTBL back into LMDB ... We makes sure to write the documents into a file before memory mapping it and putting it into LMDB, this way we avoid moving it to RAM	2020-08-28 15:43:24 +02:00
Clément Renault	d784d87880	Remove the prefix LMDB databases	2020-08-28 14:41:43 +02:00
Clément Renault	7cde312f14	Introduce the StrBEU32Codec heed codec	2020-08-28 14:16:37 +02:00
Clément Renault	34db376ae5	Rename the RoaringBitmapCodec module	2020-08-28 13:31:16 +02:00
Kerollmops	38ddc71b83	Simplify the search algorithm	2020-08-26 15:16:41 +02:00
Kerollmops	ba2eb0d7ad	Take the words-fst into account when retrieving the biggests values	2020-08-26 14:36:22 +02:00
Clément Renault	32da07ccee	Introduce the word-positions-doc-ids and words-positions infos commands	2020-08-23 10:52:47 +02:00
Clément Renault	d19f394630	Make the indexer support gzipped CSV as input	2020-08-21 18:10:24 +02:00
Clément Renault	ff479c865d	Replace pipe by ringtail to improve stdin read performances	2020-08-21 17:45:52 +02:00
Clément Renault	ada30c2789	Introducing more arguments to specify the different compression algorithms	2020-08-21 16:41:26 +02:00
Clément Renault	02335ee72d	Introduce the biggest-value-sizes command on the infos binary	2020-08-21 14:44:42 +02:00
Clément Renault	1e3e756c19	Introduce the words-frequencies command on the infos binary	2020-08-21 14:44:42 +02:00
Kerollmops	6a230fe803	Move the contains_documents logic to a function	2020-08-21 14:44:42 +02:00
Kerollmops	e55a569629	Compress much more the documents database	2020-08-21 14:44:42 +02:00
Kerollmops	962bad3cea	Introduce an infos binary to fetch stats	2020-08-17 19:41:49 +02:00
Clément Renault	8806fcd545	Introduce a better query and document lexer	2020-08-16 14:36:54 +02:00
Clément Renault	1e358e3ae8	Introduce the AstarBagIter that iterates through best paths	2020-08-15 16:24:06 +02:00
Clément Renault	7dc594ba4d	Introduce the Search builder struct	2020-08-13 14:27:51 +02:00
Clément Renault	bfb46cbfbe	Introduce the Crtierion enum	2020-08-12 10:43:02 +02:00
Clément Renault	6d04a285dc	Retrieve and display the distances of the words found	2020-08-11 15:18:02 +02:00
Clément Renault	1bd37d213a	Lowercase quoted words	2020-08-10 14:49:09 +02:00
Clément Renault	883a8109c8	Show both database and documents database sizes	2020-08-10 14:37:18 +02:00
Clément Renault	a4e0f3f724	Remove the useless TransitiveArc from the serve binary	2020-08-10 14:06:27 +02:00
Clément Renault	edc06a97d6	Remove the useless stats binary	2020-08-10 13:55:02 +02:00
Clément Renault	ae77fe5a69	Introduce an option to specify the maximum database size	2020-08-10 13:53:53 +02:00
Clément Renault	394844062f	Move the documents MTBL database inside the Index	2020-08-10 13:47:19 +02:00
Clément Renault	ecd2b2f217	Make the final merge done in parallel	2020-08-07 15:44:04 +02:00
Clément Renault	91282c8b6a	Move the documents into another file	2020-08-07 13:11:31 +02:00
Clément Renault	fae694a102	Put the documents into an MTBL database	2020-08-07 12:14:40 +02:00