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https://issues.apache.org/jira/browse/HADOOP-19385?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17912091#comment-17912091
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ASF GitHub Bot commented on HADOOP-19385:
-----------------------------------------
steveloughran opened a new pull request, #7285:
URL: https://github.com/apache/hadoop/pull/7285
Add a module hadoop-cloud-storage-project/hadoop-format-testingn
for testing integration with file formats: vector IO, bulk delete,
format-aware input streams.
### How was this patch tested?
TODO
### For code changes:
- [ ] Does the title or this PR starts with the corresponding JIRA issue id
(e.g. 'HADOOP-17799. Your PR title ...')?
- [ ] Object storage: have the integration tests been executed and the
endpoint declared according to the connector-specific documentation?
- [X] If adding new dependencies to the code, are these dependencies
licensed in a way that is compatible for inclusion under [ASF
2.0](http://www.apache.org/legal/resolved.html#category-a)?
- [ ] If applicable, have you updated the `LICENSE`, `LICENSE-binary`,
`NOTICE-binary` files?
> S3A: add a file-format-parsing module for testing format parsing
> ----------------------------------------------------------------
>
> Key: HADOOP-19385
> URL: https://issues.apache.org/jira/browse/HADOOP-19385
> Project: Hadoop Common
> Issue Type: Sub-task
> Components: fs/azure, fs/s3
> Affects Versions: 3.4.2
> Reporter: Steve Loughran
> Priority: Major
>
> Create a cloud-storage/format-parsing module declaring various file formats
> as dependencies (parquet, iceberg, orc) purely for integration/regression
> testing store support for them.
> h2. Parquet
> for parquet reading we'd want
> * parquet lib
> * samples of well formed files
> * samples of malformed files.
> Test runs would upload the files then open then.
> h2. Iceberg
> Verify bulk delete through iceberg FileIO api.
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