zeitgeist team mailing list archive
-
zeitgeist team
-
Mailing list archive
-
Message #02791
[Bug 632363] Re: Slow queries: SQL indexes not used
** Changed in: zeitgeist
Milestone: 0.7.0 => None
--
You received this bug notification because you are a member of Zeitgeist
Framework Team, which is subscribed to Zeitgeist Framework.
https://bugs.launchpad.net/bugs/632363
Title:
Slow queries: SQL indexes not used
Status in Zeitgeist Framework:
Confirmed
Bug description:
THE PROBLEM:
I am seeing query times around 200ms (and 150ms with my latest performance tweak in trunk), which surprised me as quite slow since my queries where quite simple. I had expected times around 1-2ms.
Reading up on the sqlite documentation I see that the queries we
generate are pretty far from optimized in an sqlite world [1]. The
case is that when ever you use an OR sqlite will no longer use an
index. Thus this query is NOT using the indexes:
SELECT * FROM event WHERE interpretation=1 OR interpretation=2
But if we rewrite it using IN instead the indexes will be used:
SELECT * FROM event WHERE interpretation IN (1, 2)
This also explains the case where Michal where seeing tremendously
slow query times when searching for a big range of mimetypes.
Looking in _zeitgeist.engine.sql.WhereClause.add_text_condition() I am
also pretty sure we are not using the indexes for prefix queries (eg
file://home/*).
THE SOLUTION
I *definitely* don't think we should panic and feverishly start rewriting our query compilation. Here's what I propose:
1) Implement an envvar ZEITGEIST_DEBUG_QUERY_PLANS which will spit
out all our SQL calls and the query plans for each of our calls. The
query plan will tell us how the db is queried and which indexes are
used if any. The query plan is obtained by prefixing the SQL statement
with EXPLAIN QUERY PLAN.
2) Collect some useful intelligence with this new tool, and generally
learn more about how we can optimize sqlite queries. A big question
here is how the event_view VIEW impacts the query plan.
3) Write a new template -> SQL compilation engine that generates SQL
optimized for sqlite. We can actually be quite clever about grouping
our OR statements into IN clauses - but it will be tricky to get
right.
NOTE: That this doesn't imply any change in the public API or event
template system. That would be the wrong solution imho. Our current
API is nice and simple by my standards. Let's keep it that way.
[1]: See fx the section "Using Indexes To Speed Searching" in
http://www.sqlite.org/vdbe.html
References