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Posted to github@datafusion.apache.org by "erikbogado-nstech (via GitHub)" <gi...@apache.org> on 2026/09/22 00:50:07 UTC
[I] ci: shard the Iceberg extensions test task [datafusion-comet]
erikbogado-nstech opened a new issue, #6101:
URL: https://github.com/apache/datafusion-comet/issues/6101
## Problem
The Iceberg core tests are sharded by a task-agnostic class-name predicate, but `iceberg-spark-extensions` runs unsharded (`iceberg_spark_test_reusable.yml:221-227`) and measured **55m24s** in queue run `35022044196` — the single longest job in that run and the largest ownable saving.
## Change
- Give the extensions job the same shard matrix: pass `-PcometShardIndex` / `-PcometShardCount` and `-PcometShardTask` for the extensions task, with a task-specific artifact name.
- Add an extensions coverage check alongside the existing core one.
## Expected gain
55m24s unsharded → ~15-20 min ⇒ ~35 queue-min/run × ~38 runs ≈ **1,300 runner-min/72 h (~2 %)**. The largest single ownable saving.
## Constraint
`dev/ci/check-iceberg-shards.py:43` hard-codes `SHARD_COUNT = 4` and asserts every manifest's count equals it, so extensions must use count 4 (or the constant must become per-task). The Gradle predicate is a pure hash of the class name and is task-agnostic (`dev/ci/iceberg-test-shards.gradle`).
## Verification
- One label run produces balanced per-shard candidate counts (extensions balance is unverified until then) and the coverage check passes: the union of shard candidates equals the unsharded inventory.
- Queue wall clock for the extensions job 55m24s → target ~15-20 min.
## Risk / rollback
Shard imbalance could make one shard as slow as the unsharded job; the coverage check prevents dropped tests. Revert the workflow and the matrix emitter.
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Re: [I] ci: shard the Iceberg extensions test task [datafusion-comet]
Posted by "erikbogado-nstech (via GitHub)" <gi...@apache.org>.
erikbogado-nstech closed issue #6101: ci: shard the Iceberg extensions test task
URL: https://github.com/apache/datafusion-comet/issues/6101
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