Clément Renault
31224a8425
Index the word pair proximities for both orders of the pair
2020-09-22 14:49:22 +02:00
Clément Renault
d6fa9c0414
Index the intra documents word pair proximities
2020-09-22 14:04:33 +02:00
Clément Renault
15208c7d3d
Simplify the indexer record loop
2020-09-22 10:33:30 +02:00
Clément Renault
e5adfaade0
Replace the token filter by a filter mapper
2020-09-22 10:24:31 +02:00
Clément Renault
d21c80b865
Apply the chunk compression parameters on all the MTBL writers
2020-09-21 18:30:54 +02:00
Clément Renault
944df52e2a
Simplify the indexer main loop
2020-09-21 14:59:48 +02:00
Kerollmops
d5e5baa20f
Bump the oxidized-mtbl dependency
2020-09-10 13:29:12 +02:00
Kerollmops
5664c37539
Introduce an heed codec that reduce the size of small amount of serialized integers
2020-09-07 20:06:23 +02:00
Clément Renault
bb1ab428db
Use another function to define the proximity
2020-09-06 17:55:07 +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
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
Clément Renault
4afc4d0751
Use the groups of four positions to speed up disjunctions tests
2020-08-30 16:25:11 +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
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
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
Kerollmops
e55a569629
Compress much more the documents database
2020-08-21 14:44:42 +02:00
Clément Renault
8806fcd545
Introduce a better query and document lexer
2020-08-16 14:36:54 +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
Clément Renault
405a71d3a4
Accept csv from stdin
2020-08-06 13:38:21 +02:00
Clément Renault
d3b1096510
Compute the word attribute postings lists on each threads
2020-08-06 11:50:27 +02:00
Clément Renault
8d734941af
Clean up some lines
2020-08-06 10:20:26 +02:00
Clément Renault
4873abe145
Introduce option flags to toggle the indexing engine
2020-08-05 12:10:41 +02:00
Clément Renault
bd4b18541c
Introduce a new indexer which uses an MTBL sorter
2020-08-04 15:44:37 +02:00
Kerollmops
92c2b1dd2d
Refine the help message of the binaries
2020-07-12 11:06:45 +02:00
Kerollmops
f757df5dfd
Introduce the stderr logger to the project
2020-07-12 11:04:35 +02:00
Kerollmops
12358476da
Use the log crate instead of stderr
2020-07-12 10:55:09 +02:00
Kerollmops
2c62eeea3c
Rename the project milli
2020-07-12 00:16:41 +02:00
Kerollmops
11c7fef80a
Implement a memory dumper
...
It moves the in memory HashMaps used when indexing to a disk based MTBL file
2020-07-07 16:48:49 +02:00
Kerollmops
b12bfcb03b
Reduce the deepness of the word position document ids
...
This helps reduce the number of allocations.
2020-07-07 12:30:05 +02:00
Kerollmops
7178b6c2c4
First basic version using MTBL again
2020-07-07 11:32:33 +02:00
Kerollmops
adb1038b26
Add a jobs parameter to set the number of threads the indexer uses
2020-07-06 12:17:17 +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
