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[Data] Perform incremental writes to Parquet files #43563

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merged 2 commits into from Feb 29, 2024

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Why are these changes needed?

When we write to Parquet files, we combine all of the input blocks into one big block. This doubles our heap memory usage, because we store the input blocks as well as the combined big block. To avoid OOM issues, this PR updates the implementation to incrementally write one block at a time.

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  • I've signed off every commit(by using the -s flag, i.e., git commit -s) in this PR.
  • I've run scripts/format.sh to lint the changes in this PR.
  • I've included any doc changes needed for https://docs.ray.io/en/master/.
    • I've added any new APIs to the API Reference. For example, if I added a
      method in Tune, I've added it in doc/source/tune/api/ under the
      corresponding .rst file.
  • I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/
  • Testing Strategy
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    • This PR is not tested :(

Signed-off-by: Balaji Veeramani <balaji@anyscale.com>
Signed-off-by: Balaji Veeramani <balaji@anyscale.com>


class _ParquetDatasink(BlockBasedFileDatasink):
class _ParquetDatasink(_FileDatasink):
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@raulchen I decided to subclass _FileDatasink rather than change write_block_to_file to minimize API churn (it's not a public API, but it's still a documented developer API).

@can-anyscale can-anyscale merged commit 5da4795 into ray-project:master Feb 29, 2024
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hebiao064 pushed a commit to hebiao064/ray that referenced this pull request Mar 12, 2024
When we write to Parquet files, we combine all of the input blocks into one big block. This doubles our heap memory usage, because we store the input blocks as well as the combined big block. To avoid OOM issues, this PR updates the implementation to incrementally write one block at a time.

Signed-off-by: Balaji Veeramani <balaji@anyscale.com>
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3 participants