Commit c444072
authored
feat(sync-service): index for array contains (#2359)
This PR seeks to address trigger.dev's WAL lag issues by adding two
optimisations to where clause filtering:
- Allow multiple conditions in a where clause to be optimised (not just
one)
- Optimise where clauses that have a condition in the form 'array_field
@> array_const'
## Allow multiple conditions in a where clause to be optimised (not just
one)
This feature alone should halve the processing time for trigger.dev as
they have many where clauses in the form `WHERE runtimeEnvironmentId = ?
AND batchId = ?` where if a change matched the `runtimeEnvironmentId` it
would then have to iterate through the `batchId`s. Now it doesn't - the
`batchId` condition is indexed as well.
## Optimise where clauses that have a condition in the form 'array_field
@> array_const'
Trigger.dev's other problematic where clauses are in the form `WHERE
runtimeEnvironmentId = ? AND runTags @> ?` and this feature optimises
the `@>` operation. The algorithm for this optimisation can be seen in
the [InclusionIndex
module](https://github.com/electric-sql/electric/pull/2359/files#diff-44c9f3ec68658f9ea6690a7608b99ad0463d7dcc8f1c95e9a2617e1d3d30a3d2).
Comparing the performance of this index against the current method shows
quite a dramatic difference:
<img width="707" alt="Screenshot 2025-02-19 at 19 42 59"
src="https://github.com/user-attachments/assets/ea9de81c-50e7-45d1-a81f-d5a21c36daeb"
/>
Here you can see it performs well with 100k shapes (which for
trigger.dev would be 100k shapes with the same `runtimeEnvironmentId`,
in other words 100k shapes per user)
<img width="692" alt="Screenshot 2025-02-19 at 19 43 47"
src="https://github.com/user-attachments/assets/e2fde600-6c0f-4606-ac93-18daa8e50438"
/>
Both of the charts above are based on a shape array size of 3 and a
change array size of 10 which is typical for trigger.dev.
The algorithm seems to scale roughly linearly with change array size:
<img width="714" alt="Screenshot 2025-02-24 at 16 12 34"
src="https://github.com/user-attachments/assets/ce1703c1-9eea-4d19-bc44-8c92615f8da4"
/>
The algorithm seems to scale well with shape array size for a fixed
change array size (10):
<img width="714" alt="Screenshot 2025-02-24 at 16 14 35"
src="https://github.com/user-attachments/assets/fcd6f956-8c01-4580-8e55-4b0eeb17e86f"
/>1 parent f92d4b3 commit c444072
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- packages/sync-service
- lib/electric/shapes
- filter
- indexes
- test/electric/shapes
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