[
https://issues.apache.org/jira/browse/SPARK-60367?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
L. C. Hsieh updated SPARK-60367:
--------------------------------
Affects Version/s: 4.2.0
4.1.3
4.3.0
4.4.0
(was: 5.0.0)
> Fix duplicated rows and closed reader root in sliced Arrow output processors
> ----------------------------------------------------------------------------
>
> Key: SPARK-60367
> URL: https://issues.apache.org/jira/browse/SPARK-60367
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 4.2.0, 4.3.0, 4.1.3, 4.4.0
> Reporter: L. C. Hsieh
> Priority: Major
>
> The sliced Arrow output processors of the Python runners (enabled by the
> internal configs spark.sql.execution.arrow.maxRecordsPerOutputBatch and
> spark.sql.execution.arrow.maxBytesPerOutputBatch, both disabled by default)
> have two bugs:
> 1. SliceRecordsArrowOutputProcessorImpl returns the whole reader root for the
> last chunk of an input batch that it has already sliced. Whenever a batch
> returned from Python has more rows than maxRecordsPerOutputBatch, the rows
> already output are output again (duplicated rows, silently wrong results).
> For example, a batch of 10 rows with maxRecordsPerOutputBatch=3 is output as
> 3, 3, 3, then the whole 10 rows.
> 2. BaseSliceArrowOutputProcessor closes the previous output root when it
> produces a different root, including the reader root itself. The reader root
> is reused for the next input batches, so when an output batch is the whole
> reader root and the next one is a slice, the next read fails, e.g. with
> IndexOutOfBoundsException from StructVector.isSet or IllegalArgumentException
> from slicing an empty vector. This affects both the records and the bytes
> slicing.
> The existing PySpark tests (MapInArrowWithOutputArrowBatchSlicing*Tests) did
> not catch this because test_different_output_length compares a set of the
> output values (which hides duplicates), and no test outputs a batch that fits
> the limit followed by one that needs slicing.
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
