Repository navigation
Conversation
bvolpato
force-pushed
the
bvolpato/separate-bigquery-scale-validation
branch
from
October 28, 2026 05:16
f3c78f3 to
e4a4e60
Compare
Contributor
|
Thanks for bringing up this, this test exists for long and I agree the current config sounds odd
I think what we should do is
|
bvolpato
force-pushed
the
bvolpato/separate-bigquery-scale-validation
branch
from
October 29, 2026 00:01
e4a4e60 to
d067e00
Compare
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
The BigQuery read cases currently run only in the Dataflow V2 integration suite, including a 1 TB read that takes about 2h22 (example run). The smaller cases are excluded from GCP IO precommit and V1 has no coverage from this test class.
Run the empty and 1 MB cases in GCP IO Direct precommit, and the 1 GB case in both V1 and V2 integration. Move the unchanged 1 TB case to the existing BigQuery Batch Avro performance workflow on its twelve-hour schedule. Its existing test reads 10 GB, so keep the larger fixture and row-count assertion. Increase that workflow's timeout from 100 to 480 minutes to accommodate the additional workload.
Validated the actual Gradle task graph, pipeline options, CLI filter scoping and test discovery with
--test-dry-run. The SDK image dependency and cleanup remain in place. Workflow syntax and actionlint passed. Live Dataflow execution and image builds were not run locally.