[Bug 45529] use composite indexes for efficient term search

2014-01-22 Thread bugzilla-daemon
https://bugzilla.wikimedia.org/show_bug.cgi?id=45529

tobias.gritschac...@wikimedia.de changed:

   What|Removed |Added

 Status|PATCH_TO_REVIEW |RESOLVED
 CC||tobias.gritschacher@wikimed
   ||ia.de
 Resolution|--- |FIXED

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[Bug 45529] use composite indexes for efficient term search

2014-01-22 Thread bugzilla-daemon
https://bugzilla.wikimedia.org/show_bug.cgi?id=45529

tobias.gritschac...@wikimedia.de changed:

   What|Removed |Added

 Status|RESOLVED|VERIFIED

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[Bug 45529] use composite indexes for efficient term search

2014-01-08 Thread bugzilla-daemon
https://bugzilla.wikimedia.org/show_bug.cgi?id=45529

--- Comment #14 from Gerrit Notification Bot gerritad...@wikimedia.org ---
Change 99660 merged by jenkins-bot:
(bug 45529) use composite indexes on wb_terms.

https://gerrit.wikimedia.org/r/99660

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[Bug 45529] use composite indexes for efficient term search

2014-01-07 Thread bugzilla-daemon
https://bugzilla.wikimedia.org/show_bug.cgi?id=45529

--- Comment #11 from Daniel Kinzler daniel.kinz...@wikimedia.de ---
(In reply to comment #10)
 Pulled from db1021 with the old wb_% indexes after a few hours of activity:

Thank you for the thorough analysis and the helpful suggestions! I don't
understand mysql's internals nearly as well as you, so I think I'll just go
with your suggestions :)

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[Bug 45529] use composite indexes for efficient term search

2014-01-07 Thread bugzilla-daemon
https://bugzilla.wikimedia.org/show_bug.cgi?id=45529

--- Comment #12 from Daniel Kinzler daniel.kinz...@wikimedia.de ---
 Partitions aren't suitable for tables.sql as we still say we support MySQL
 5.0+, but I think it's worthwhile for this particular table on WMF production
 slaves.

Note that this is for the Wikibase extension, not core. We can and do have
stronger requirements for the extension anyway. I'll think about whether to use
partitioning always, or to make a special wmf version.

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[Bug 45529] use composite indexes for efficient term search

2014-01-07 Thread bugzilla-daemon
https://bugzilla.wikimedia.org/show_bug.cgi?id=45529

--- Comment #13 from Sean Pringle sprin...@wikimedia.org ---
FTR, correction for my comment #10: I said:

Note that I left term_language in terms_search despite the partitions because
getMatchingIDs query still benefits from ICP when term_search_key is used with
a poorly performing short prefix: LIKE 'a%'.

This is actually wrong for MariaDB 5.5. ICP is not being used inside the
partition (though it apparently will be possible in the future). Looks like the
speed-up for getMatchingIDs here is only due to the pruning and the smaller
partitioned indexes generating fewer Handler_read% hits.

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[Bug 45529] use composite indexes for efficient term search

2014-01-06 Thread bugzilla-daemon
https://bugzilla.wikimedia.org/show_bug.cgi?id=45529

--- Comment #10 from Sean Pringle sprin...@wikimedia.org ---
Pulled from db1021 with the old wb_% indexes after a few hours of activity:

+--++-++
| TABLE_SCHEMA | TABLE_NAME | INDEX_NAME  | ROWS_READ  |
+--++-++
| wikidatawiki | wb_terms   | tmp1|  905372478 |
| wikidatawiki | wb_terms   | wb_terms_entity_id  | 1284769088 |
| wikidatawiki | wb_terms   | wb_terms_text   | 365238 |
| wikidatawiki | wb_terms   | wb_terms_language   |   85815191 |
| wikidatawiki | wb_terms   | wb_terms_search_key |  80851 |
+--++-++

(tmp1 is roughly eqivalent to the proposed terms_search composite index)

Turns out we need to keep some indexes with term_entity_id, term_text, and
term_search_key in left-most positions, plus avoid having massive indexes (22G
already, more for the new composites) except where Index Condition Pushdown
(ICP) is useful. Therefore I propose these indexes instead:

-- Some wb_terms queries not listed in the bug report use term_entity_id=N
-- which is good selectivity.
CREATE INDEX /*i*/terms_entity ON /*_*/wb_terms (term_entity_id);

-- When any wb_terms query includes a search on term_text greater than
-- four or five leading characters a simple index on term_text and
-- language is often better than the proposed composite indexes. Note
-- that it's fine to have term_language second as MariaDB still uses
-- the entire key length even with LIKE '...%' on term_text.
CREATE INDEX /*i*/terms_text ON /*_*/wb_terms (term_text, term_language);

-- Same idea as above for terms_search_key. Not so much traffic as
-- term_text but enough to be useful.
CREATE INDEX /*i*/terms_search_key ON /*_*/wb_terms (term_search_key,
term_language);

-- The getMatchingIDs query is horrible when it has just one or two
-- leading characters on term_search_key. This index is slightly
-- different to the proposed term_search for better selectivity
-- while still allowing ICP for short string values.
CREATE INDEX /*i*/terms_search ON /*_*/wb_terms (term_language, term_entity_id,
term_type, term_search_key(16));

The above indexes give reasonable performance on all wb_terms queries I can
find and seems suitably generic enough for tables.sql.

However, for wikidatawiki in production it's still not fast enough for all
fringe cases due to the sheer dataset size. So, on db1026 I've partitioned
wb_terms based on hash(term_language). This:

1) Lets the optimizer use partition pruning like a free first-stage index on
term_language (because we use equality for term_language clauses). Reduces the
number of rows read for many of our queries except those already using ICP.

2) Allows terms_text and terms_search_key to drop the second term_language
field for slightly smaller footprints with comparable performance due to (1).
More stuff fits in the buffer pool for longer, basically.

3) Speeds up writes to wb_terms on the slave because insert/update/delete only
touches the smaller indexes in the relevant partition rather than the entire
btrees (this is only a slight benefit, but I figure every bit to help reduce
replag...)

CREATE TABLE wb_terms (
...
  KEY terms_entity (term_entity_id),
  KEY terms_text (term_text),
  KEY terms_search_key (term_search_key),
  KEY terms_search
(term_language,term_entity_type,term_type,term_search_key(16))
) ENGINE=InnoDB PARTITION BY KEY (term_language) PARTITIONS 16

Note that I left term_language in terms_search despite the partitions because
getMatchingIDs query still benefits from ICP when term_search_key is used with
a poorly performing short prefix: LIKE 'a%'.

Partitions aren't suitable for tables.sql as we still say we support MySQL
5.0+, but I think it's worthwhile for this particular table on WMF production
slaves.

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[Bug 45529] use composite indexes for efficient term search

2013-12-06 Thread bugzilla-daemon
https://bugzilla.wikimedia.org/show_bug.cgi?id=45529

Daniel Kinzler daniel.kinz...@wikimedia.de changed:

   What|Removed |Added

 Status|NEW |ASSIGNED

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[Bug 45529] use composite indexes for efficient term search

2013-12-06 Thread bugzilla-daemon
https://bugzilla.wikimedia.org/show_bug.cgi?id=45529

--- Comment #8 from Daniel Kinzler daniel.kinz...@wikimedia.de ---
(In reply to comment #3)
 It looks like there are four common select query types in production:
 
 1) /* Wikibase\TermSqlIndex::getTermsOfEntity */ select term_language,
 term_type, term_text from `wb_terms` where term_entity_id = ? and
 term_entity_type = ? 

This is getting all the terms defined for an entity. This is mostly used when
determining which term entries need to be updated when an entity is saved.

 2) /* Wikibase\TermSqlIndex::getMatchingIDs */ select distinct term_entity_id
 from `wb_terms` where (term_language=? and term_search_key like ? and
 term_type=? and term_entity_type=?) or (term_language=? and term_search_key
 like ? and term_type=? and term_entity_type=?) limit ? 

This is used to find entities based on a user provided prefix. We should see
LOTS of those, since they are used for find-as-you-type suggestions in the
search box and in the entity selector.

 3) /* Wikibase\TermSqlIndex::getMatchingTerms */ SELECT term_entity_type,
 term_type, term_language, term_text, term_entity_id FROM `wb_terms` WHERE
 (term_language=? AND term_type=? AND term_entity_type=?)

This should be relatively rare: it's used to load all labels for all
properties. The number of rows in the result should be the number of properties
defined, which at the moment is about 1000. TermPropertyLabelResolver already
caches the result in memcached.

There should be another variant of the Wikibase\TermSqlIndex::getMatchingTerms
queries, which searches for a specific term_text:

3b) /* Wikibase\TermSqlIndex::getMatchingTerms */ SELECT term_entity_type,
term_type, term_language, term_text, term_entity_id FROM `wb_terms` WHERE
(term_language=? AND term_type=? AND term_entity_type=? AND term_text=? )

This is quite similar to case (2), but using term_text, not term_search_key.

 4) /* Wikibase\TermSqlIndex::getMatchingTermCombination */ select
 terms?term_entity_type as terms?term_entity_type, terms?term_type as
 terms?term_type, terms?term_language as terms?term_language, terms?term_text 
 [...]

Used to find entities with a given combination of label and description, to
avoid conflicts. This query is performed once per edit.

I suppose the query as such could be optimized - maybe using a subquery is more
efficient here than a full join. Should be investigated.


To cover all these use cases, I'm considering the following indexes:

-- for TermSqlIndex::getMatchingIDs
CREATE INDEX /*i*/term_search ON /*_*/wb_terms (term_language,
term_search_key(12), term_entity_type, term_type);

-- for TermSqlIndex::getTermsOfEntity and for the join in
TermSqlIndex::getMatchingTermCombination
CREATE INDEX /*i*/term_entity ON /*_*/wb_terms (term_entity_type,
term_entity_id, term_type);

-- TermSqlIndex::getMatchingTerms with or without given term_text, as well as
for TermSqlIndex::getMatchingTermCombination
CREATE UNIQUE INDEX /*i*/term_identity ON /*_*/wb_terms (term_language,
term_type, term_entity_type, term_text, term_entity_id);

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[Bug 45529] use composite indexes for efficient term search

2013-12-06 Thread bugzilla-daemon
https://bugzilla.wikimedia.org/show_bug.cgi?id=45529

Gerrit Notification Bot gerritad...@wikimedia.org changed:

   What|Removed |Added

 Status|ASSIGNED|PATCH_TO_REVIEW

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[Bug 45529] use composite indexes for efficient term search

2013-12-06 Thread bugzilla-daemon
https://bugzilla.wikimedia.org/show_bug.cgi?id=45529

--- Comment #9 from Gerrit Notification Bot gerritad...@wikimedia.org ---
Change 99660 had a related patch set uploaded by Daniel Kinzler:
(bug 45529) use composite indexes on wb_terms.

https://gerrit.wikimedia.org/r/99660

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[Bug 45529] use composite indexes for efficient term search

2013-11-29 Thread bugzilla-daemon
https://bugzilla.wikimedia.org/show_bug.cgi?id=45529

Daniel Kinzler daniel.kinz...@wikimedia.de changed:

   What|Removed |Added

 Whiteboard|backlog |backlog, termsearch

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[Bug 45529] use composite indexes for efficient term search

2013-11-27 Thread bugzilla-daemon
https://bugzilla.wikimedia.org/show_bug.cgi?id=45529

Addshore addshorew...@gmail.com changed:

   What|Removed |Added

 Blocks||44529

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[Bug 45529] use composite indexes for efficient term search

2013-11-27 Thread bugzilla-daemon
https://bugzilla.wikimedia.org/show_bug.cgi?id=45529

Addshore addshorew...@gmail.com changed:

   What|Removed |Added

 CC||addshorew...@gmail.com
 Whiteboard||backlog

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[Bug 45529] use composite indexes for efficient term search

2013-11-10 Thread bugzilla-daemon
https://bugzilla.wikimedia.org/show_bug.cgi?id=45529

--- Comment #7 from Sean Pringle sprin...@wikimedia.org ---
While this is still in limbo, to keep production alive, last week I added this
temporary index:

KEY `tmp1` (`term_language`,`term_type`,`term_entity_type`,`term_search_key`)

This query form (2 in comment #3) was backing up to the point of pain on
slaves:

/* Wikibase\TermSqlIndex::getMatchingIDs */ select distinct term_entity_id
from `wb_terms` where (term_language=? and term_search_key like ? and
term_type=? and term_entity_type=?) or (term_language=? and term_search_key
like ? and term_type=? and term_entity_type=?) limit ?

Most examples were identical. Perhaps something could be cached.

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[Bug 45529] use composite indexes for efficient term search

2013-10-29 Thread bugzilla-daemon
https://bugzilla.wikimedia.org/show_bug.cgi?id=45529

Daniel Kinzler daniel.kinz...@wikimedia.de changed:

   What|Removed |Added

   Severity|normal  |major

--- Comment #6 from Daniel Kinzler daniel.kinz...@wikimedia.de ---
we should really look into this.

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[Bug 45529] use composite indexes for efficient term search

2013-09-23 Thread bugzilla-daemon
https://bugzilla.wikimedia.org/show_bug.cgi?id=45529

denny vrandecic denny.vrande...@wikimedia.de changed:

   What|Removed |Added

   Severity|major   |normal

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[Bug 45529] use composite indexes for efficient term search

2013-08-18 Thread bugzilla-daemon
https://bugzilla.wikimedia.org/show_bug.cgi?id=45529

Max Semenik maxsem.w...@gmail.com changed:

   What|Removed |Added

 CC||maxsem.w...@gmail.com
   Severity|enhancement |major

--- Comment #5 from Max Semenik maxsem.w...@gmail.com ---
Just noticed Wikibase\TermSqlIndex::getMatchingIDs queries taking over a minute
in production - this needs to be fixed.

(In reply to comment #3)

 I think your proposed indexes should be good, but please limit the length on
 term_search_key.  Most queries use a few letters only ('abc%'), indexing
 term_search_key(6) should be good.  

UTF-8 can take up to 4 bytes for some characters, so this limit would cover 1.5
chars for some languages.

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[Bug 45529] use composite indexes for efficient term search

2013-07-01 Thread bugzilla-daemon
https://bugzilla.wikimedia.org/show_bug.cgi?id=45529

denny vrandecic denny.vrande...@wikimedia.de changed:

   What|Removed |Added

   Priority|Unprioritized   |High
 CC||denny.vrandecic@wikimedia.d
   ||e

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[Bug 45529] use composite indexes for efficient term search

2013-06-04 Thread bugzilla-daemon
https://bugzilla.wikimedia.org/show_bug.cgi?id=45529

Andre Klapper aklap...@wikimedia.org changed:

   What|Removed |Added

   Keywords||performance

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[Bug 45529] use composite indexes for efficient term search

2013-06-04 Thread bugzilla-daemon
https://bugzilla.wikimedia.org/show_bug.cgi?id=45529

--- Comment #4 from Daniel Kinzler daniel.kinz...@wikimedia.de ---
Thanks for the analysis Asher!

 If the combination ( term_entity_type, term_entity_id ) is guaranteed to be
 unique, and it will be used to delete rows, define this index as unique to
 minimize locking. 

It's not unique. In fact, ( term_entity_type, term_entity_id, term_language )
isn't unique either (there can be multiple aliases in a language language on an
entity).

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[Bug 45529] use composite indexes for efficient term search

2013-06-03 Thread bugzilla-daemon
https://bugzilla.wikimedia.org/show_bug.cgi?id=45529

Ariel T. Glenn ar...@wikimedia.org changed:

   What|Removed |Added

 CC||ar...@wikimedia.org

--- Comment #1 from Ariel T. Glenn ar...@wikimedia.org ---
What is the wb_terms table?  I need a human-readable one line description (for
non wikibase users) which will accompany it on the dumps page. It currently has
the following placeholder: This table is currently missing a description. See
the description of the wb_items_per_site table at
http://dumps.wikimedia.org/wikidatawiki/20130527/ for an example.

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[Bug 45529] use composite indexes for efficient term search

2013-06-03 Thread bugzilla-daemon
https://bugzilla.wikimedia.org/show_bug.cgi?id=45529

--- Comment #2 from Daniel Kinzler daniel.kinz...@wikimedia.de ---
 What is the wb_terms table?  I need a human-readable one line description
 (for non wikibase users) which will accompany it on the dumps page. 

wb_terms associates labels, aliases and description in a given language with
data items. It can be used for finding all labels and aliases for a given
concept, or finding all concepts that use a given name (label or alias) in a
given language. (In reply to comment #1)

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[Bug 45529] use composite indexes for efficient term search

2013-06-03 Thread bugzilla-daemon
https://bugzilla.wikimedia.org/show_bug.cgi?id=45529

--- Comment #3 from Asher Feldman afeld...@wikimedia.org ---
(In reply to comment #0)
 Since only a single index will be used for any given query, this is not
 helpful, and results in inefficient searches. 

This isn't strictly true.  Since the select queries in production against
wb_terms aren't join queries, index merge optimizations are possible and are
being utilized.  I.e. a query containing WHERE (term_language='oc' AND
term_type='label' AND term_entity_type='property') is executed via an
intersection of two indexes - Using
intersect(wb_terms_entity_type,wb_terms_language).  

That said, index merging isn't as efficient as composite indexes, and there's
one query case that isn't performing well at all. 

It looks like there are four common select query types in production:

1) /* Wikibase\TermSqlIndex::getTermsOfEntity */ select term_language,
term_type, term_text from `wb_terms` where term_entity_id = ? and
term_entity_type = ? 

2) /* Wikibase\TermSqlIndex::getMatchingIDs */ select distinct term_entity_id
from `wb_terms` where (term_language=? and term_search_key like ? and
term_type=? and term_entity_type=?) or (term_language=? and term_search_key
like ? and term_type=? and term_entity_type=?) limit ? 

3) /* Wikibase\TermSqlIndex::getMatchingTerms */ SELECT term_entity_type,
term_type, term_language, term_text, term_entity_id FROM `wb_terms` WHERE
(term_language=? AND term_type=? AND term_entity_type=?)

4) /* Wikibase\TermSqlIndex::getMatchingTermCombination */ select
terms?term_entity_type as terms?term_entity_type, terms?term_type as
terms?term_type, terms?term_language as terms?term_language, terms?term_text as
terms?term_text, terms?term_entity_id as terms?term_entity_id,
terms?term_entity_type as terms?term_entity_type, terms?term_type as
terms?term_type, terms?term_language as terms?term_language, terms?term_text as
terms?term_text, terms?term_entity_id as terms?term_entity_id from `wb_terms`
`terms?` inner join `wb_terms` `terms?` on
((terms?term_entity_id=terms?term_entity_id) and
(terms?term_entity_type=terms?term_entity_type)) where (terms?term_language=?
and terms?term_text=? and terms?term_type=? and terms?term_entity_type=?) and
(terms?term_language=? and terms?term_text=? and terms?term_type=? and
terms?term_entity_type=?) and (terms?term_entity_id  ? or
terms?term_entity_type  ?) limit ?

Query type 3 above can have a large number of results returned and should
probably include a limit.

I think your proposed indexes should be good, but please limit the length on
term_search_key.  Most queries use a few letters only ('abc%'), indexing
term_search_key(6) should be good.  

If the combination ( term_entity_type, term_entity_id ) is guaranteed to be
unique, and it will be used to delete rows, define this index as unique to
minimize locking. 

Submit the changes (with drop index statements) as a regular schema change and
let me know when it's available in gerrit for review.

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[Bug 45529] use composite indexes for efficient term search

2013-03-08 Thread bugzilla-daemon
https://bugzilla.wikimedia.org/show_bug.cgi?id=45529

Bawolff (Brian Wolff) bawolff...@gmail.com changed:

   What|Removed |Added

 CC||bawolff...@gmail.com

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[Bug 45529] use composite indexes for efficient term search

2013-02-27 Thread bugzilla-daemon
https://bugzilla.wikimedia.org/show_bug.cgi?id=45529

Daniel Kinzler daniel.kinz...@wikimedia.de changed:

   What|Removed |Added

 CC||afeld...@wikimedia.org,
   ||daniel.kinz...@wikimedia.de
   ||, tstarl...@wikimedia.org

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[Bug 45529] use composite indexes for efficient term search

2013-02-27 Thread bugzilla-daemon
https://bugzilla.wikimedia.org/show_bug.cgi?id=45529

Sam Reed (reedy) s...@reedyboy.net changed:

   What|Removed |Added

   Severity|normal  |enhancement

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