This PR will optimize this query to use a more efficient index.
- Add notification_type to the dao_get_last_template_usage to optimize the query.
- Tested and analyzed query on production database with very significant results.
Before:
QUERY PLAN
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Limit (cost=0.43..1711.35 rows=1 width=935) (actual time=21186.053..21186.053 rows=0 loops=1)
-> Index Scan Backward using ix_notifications_created_at on notifications (cost=0.43..4607493.80 rows=2693 width=935) (actual time=21186.052..21186.052 rows=0 loops=1)
Filter: (((key_type)::text <> 'test'::text) AND (template_id = 'xxxxxx'::uuid))
Rows Removed by Filter: 8244071
Planning time: 0.112 ms
Execution time: 21186.082 ms
After:
QUERY PLAN
---------------------------------------------------------------------------------------------------------------------
Limit (cost=5323.10..5323.10 rows=1 width=935)
-> Sort (cost=5323.10..5323.74 rows=258 width=935)
Sort Key: created_at DESC
-> Index Scan using ix_notifications_template_id on notifications (cost=0.56..5321.81 rows=258 width=935)
Index Cond: (template_id = 'xxxxx'::uuid)
Filter: (((key_type)::text <> 'test'::text) AND (notification_type = 'sms'::notification_type))
Planning time: 1.102 ms
Execution time: 0.584 ms
Cache expires every 10 minutes, but will help with the every 2 second query, especially when a job is running.
There is some clean up and qa to do for this yet
or param errors to raise invalid data exception. That will cause
those responses to be handled in by errors.py, which will log
the errors.
Set most of schemas to strict mode so that marshmallow will raise
exception rather than checking for errors in return tuple from load.
Added handler to errors.py for marshmallow validation errors.
they do not raise exceptions.
Introduced a simple exception that contains error messages and status
code that can be used rather than return json + status code from rest
methods directly.
The handler in errors for this exception can then log the error before
returning json.