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Posted to reviews@spark.apache.org by "majdyz (via GitHub)" <gi...@apache.org> on 2023/04/24 15:13:50 UTC

[GitHub] [spark] majdyz opened a new pull request, #40929: [SPARK-43264][SQL] Avoid allocation of unwritten ColumnVector in Spark Vectorized Reader

majdyz opened a new pull request, #40929:
URL: https://github.com/apache/spark/pull/40929

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   ### What changes were proposed in this pull request?
   
   This PR adds lazy allocation support for the backing array of ColumnVector used in Spark VectorizedReader. This is added as a memory optimization for addressing the memory utilization issue when reading a Parquet file with large but sparse columns.
   
   ### Why are the changes needed?
   
   The scope of this change includes:
   - Simplify `OnHeapColumnVector` to only use a single-byte array for various data types.
   - Introduced lazy loading to the `data` array, e.g.: allocating the array only on the first write. 
   - Changed `nulls` byte array to use `BitSet` for a smaller memory footprint and faster batch operations.
   
   Out of scope of this PR:
   - Lazy allocation support for `OffHeapColumnVector`.
   
   ### Does this PR introduce _any_ user-facing change?
   <!--
   Note that it means *any* user-facing change including all aspects such as the documentation fix.
   If yes, please clarify the previous behavior and the change this PR proposes - provide the console output, description and/or an example to show the behavior difference if possible.
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   No.
   
   
   ### How was this patch tested?
   Existing tests:
   * ColumnarBatchSuite
   * ColumnVectorSuite
   * ColumnVectorUtilsSuite
   * ConstantColumnVectorSuite
   
   Manual tests:
   Tested on reading a Parquet file with a large nested struct with an array with 16GB executors. This patch fixed the OutOfMemory exception.
   


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[GitHub] [spark] github-actions[bot] commented on pull request #40929: [SPARK-43264][SQL] Avoid allocation of unwritten ColumnVector in Spark Vectorized Reader

Posted by "github-actions[bot] (via GitHub)" <gi...@apache.org>.
github-actions[bot] commented on PR #40929:
URL: https://github.com/apache/spark/pull/40929#issuecomment-1664792377

   We're closing this PR because it hasn't been updated in a while. This isn't a judgement on the merit of the PR in any way. It's just a way of keeping the PR queue manageable.
   If you'd like to revive this PR, please reopen it and ask a committer to remove the Stale tag!


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[GitHub] [spark] LuciferYang commented on pull request #40929: [SPARK-43264][CORE] Avoid allocation of unwritten ColumnVector in Spark Vectorized Reader

Posted by "LuciferYang (via GitHub)" <gi...@apache.org>.
LuciferYang commented on PR #40929:
URL: https://github.com/apache/spark/pull/40929#issuecomment-1520312702

   @majdyz Can you enable GA first refer to 
   <img width="1347" alt="image" src="https://user-images.githubusercontent.com/1475305/234031906-ad7fa49e-209b-4369-888a-e81a1299943d.png">
   https://github.com/apache/spark/pull/40929/checks?check_run_id=12977948949


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[GitHub] [spark] majdyz commented on pull request #40929: [SPARK-43264][SQL] Avoid allocation of unwritten ColumnVector in Spark Vectorized Reader

Posted by "majdyz (via GitHub)" <gi...@apache.org>.
majdyz commented on PR #40929:
URL: https://github.com/apache/spark/pull/40929#issuecomment-1520371824

   @LuciferYang Thanks, I think it's already been enabled now


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[GitHub] [spark] github-actions[bot] closed pull request #40929: [SPARK-43264][SQL] Avoid allocation of unwritten ColumnVector in Spark Vectorized Reader

Posted by "github-actions[bot] (via GitHub)" <gi...@apache.org>.
github-actions[bot] closed pull request #40929: [SPARK-43264][SQL] Avoid allocation of unwritten ColumnVector in Spark Vectorized Reader
URL: https://github.com/apache/spark/pull/40929


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[GitHub] [spark] majdyz closed pull request #40929: [SPARK-43264][SQL] Avoid allocation of unwritten ColumnVector in Spark Vectorized Reader

Posted by "majdyz (via GitHub)" <gi...@apache.org>.
majdyz closed pull request #40929: [SPARK-43264][SQL] Avoid allocation of unwritten ColumnVector in Spark Vectorized Reader
URL: https://github.com/apache/spark/pull/40929


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