* Schema revisions. The most dramatic is the addition of a covering index on
(camera_id, start_time_90k) that avoids the need to make sparse accesses
into the recording table (where the desired data is intermixed with both
the large blobs and rows from other cameras). A query over a year's data
previously took many seconds (6+ even in a form without the video_index)
and now is roughly 10X faster. Queries for a couple weeks now should be
unnoticeably fast.
Other changes to shrink the rows, such as duration_90k instead of
end_time_90k (more compact varint encoding) and video_sample_entry_id
(typically 1 byte) instead of video_sample_entry_sha1 (20 bytes).
And more CHECK constraints for good measure.
* Caching of expensive computations and logic to keep them up to date.
The top-level web view previously went through the entire recording table,
which was even slower. Now it is served from a small map in RAM.
* Expanded the scope of operations to cover (hopefully) everything needed for
recording into the SQLite database.
* Added tests of MoonfireDatabase. These are basic tests that don't
exercise a lot of error cases, but at least they exist.
The main MoonfireDatabase functionality still missing is support for quickly
seeing what calendar days have data over the full timespan of a camera. This
is more data to compute and cache.
On my laptop, with a month's data, a test query would take 0.1 to 0.2 seconds
before. Now it takes 0.001 to 0.004 seconds.
I improved this by creating and taking advantage of an index on start time.
It's a little more complicated than that because the desired timespan is
specified in terms of a recording's start and end time, not start time alone.
I defined a maximum duration of a recording (5 minutes) and specified this
with an extra condition in the query so that the end time can be used to
narrow the valid range of start times.
"explain query plan select ..." output confirms it's using the index with
both > and < comparisons:
0|0|0|SEARCH TABLE recording USING INDEX recording_start_time_90k (start_time_90k>? AND start_time_90k<?)
0|1|1|SEARCH TABLE video_sample_entry USING INDEX sqlite_autoindex_video_sample_entry_1 (sha1=?)
I also refactored ListMp4Recordings out of BuildMp4File to make the measurement
easier.
This is almost certain to have performance problems with large databases,
but it's a useful starting point.
No tests yet. It shouldn't be too hard to add some for moonfire-db.h, but
I'm impatient to fake up enough data to check on the performance and see
what needs to change there first.
