Commit b8bf432
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fix(spanner): preserve all async cache updates (#12740)
### Summary
This change fixes cache updates being missed after cache application
moved off the request hot path. It replaces the lossy async updater with
a lossless queue, skips truly empty async cache updates, moves endpoint
lifecycle reconciliation off the cache-apply critical path, and adds
cache-update telemetry to verify convergence and backlog behavior in
production.
## Problem
After moving cache application off the request hot path, cache updates
could either be lost or applied too slowly. In production this showed up
as:
- cache update backlog growing continuously
- pending cache update objects increasing memory usage
- long delays in applying updates on the executor path
- logs showing many cache updates with little or no change in cache size
We also observed that a large number of responses carried a
`cache_update` field that was present but effectively empty, which added
queue pressure without changing routing state.
## Root Cause
There were a few separate issues:
- async cache update handling used a lossy pending-update model, so
intermediate updates could be overwritten before being applied
- `databaseId=0` updates could clear an already initialized finder state
even when they did not carry meaningful cache contents
- endpoint lifecycle reconciliation still ran in the cache update path,
adding unnecessary work to cache application
- many empty cache updates were still being enqueued and drained even
though they were no-ops
## What This PR Changes
- replace the lossy async cache updater with a lossless FIFO queue so
all material cache updates are preserved
- keep zero-database-id updates from clearing existing cache state
- skip truly empty async cache updates while still preserving:
- all non-empty updates
- database-id-only transitions that can invalidate old cache state
- batch queue draining to reduce scheduling and lock churn
- decouple lifecycle address reconciliation from the cache update
critical section
## Result
Based on production logs after the fix:
- empty cache updates are being skipped in large numbers
- material pending cache updates are shrinking instead of growing
- cache apply time remains very small
- routing cache size remains stable and traffic converges away from the
default endpoint quickly
This indicates the main issue was queue pressure from lossy handling and
empty/no-op updates, not slow cache map mutation itself.1 parent 6b83871 commit b8bf432
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lines changed- java-spanner/google-cloud-spanner/src
- main/java/com/google/cloud/spanner/spi/v1
- test/java/com/google/cloud/spanner/spi/v1
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