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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2022/01/11 08:46:00 UTC
[jira] [Assigned] (SPARK-37864) Support Parquet v2 data page RLE encoding (for Boolean Values) for the vectorized path
[ https://issues.apache.org/jira/browse/SPARK-37864?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-37864:
------------------------------------
Assignee: Apache Spark
> Support Parquet v2 data page RLE encoding (for Boolean Values) for the vectorized path
> --------------------------------------------------------------------------------------
>
> Key: SPARK-37864
> URL: https://issues.apache.org/jira/browse/SPARK-37864
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 3.3.0
> Reporter: Yang Jie
> Assignee: Apache Spark
> Priority: Major
>
> Parquet v2 data page write Boolean Values use RLE encoding, when read v2 boolean type values it will throw exceptions as follows now:
>
> {code:java}
> Caused by: java.lang.UnsupportedOperationException: Unsupported encoding: RLE
> at org.apache.spark.sql.execution.datasources.parquet.VectorizedColumnReader.getValuesReader(VectorizedColumnReader.java:305) ~[classes/:?]
> at org.apache.spark.sql.execution.datasources.parquet.VectorizedColumnReader.initDataReader(VectorizedColumnReader.java:277) ~[classes/:?]
> at org.apache.spark.sql.execution.datasources.parquet.VectorizedColumnReader.readPageV2(VectorizedColumnReader.java:344) ~[classes/:?]
> at org.apache.spark.sql.execution.datasources.parquet.VectorizedColumnReader.access$100(VectorizedColumnReader.java:48) ~[classes/:?]
> at org.apache.spark.sql.execution.datasources.parquet.VectorizedColumnReader$1.visit(VectorizedColumnReader.java:250) ~[classes/:?]
> at org.apache.spark.sql.execution.datasources.parquet.VectorizedColumnReader$1.visit(VectorizedColumnReader.java:237) ~[classes/:?]
> at org.apache.parquet.column.page.DataPageV2.accept(DataPageV2.java:192) ~[parquet-column-1.12.2.jar:1.12.2]
> at org.apache.spark.sql.execution.datasources.parquet.VectorizedColumnReader.readPage(VectorizedColumnReader.java:237) ~[classes/:?]
> at org.apache.spark.sql.execution.datasources.parquet.VectorizedColumnReader.readBatch(VectorizedColumnReader.java:173) ~[classes/:?]
> at org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.nextBatch(VectorizedParquetRecordReader.java:311) ~[classes/:?]
> at org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.nextKeyValue(VectorizedParquetRecordReader.java:209) ~[classes/:?]
> at org.apache.spark.sql.execution.datasources.RecordReaderIterator.hasNext(RecordReaderIterator.scala:39) ~[classes/:?]
> at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:116) ~[classes/:?]
> at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:298) ~[classes/:?]
> ... 19 more {code}
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