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Posted to issues@spark.apache.org by "Marcelo Vanzin (JIRA)" <ji...@apache.org> on 2019/07/12 17:27:00 UTC
[jira] [Created] (SPARK-28371) Parquet "starts with" filter is not null-safe

Marcelo Vanzin created SPARK-28371:
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             Summary: Parquet "starts with" filter is not null-safe
                 Key: SPARK-28371
                 URL: https://issues.apache.org/jira/browse/SPARK-28371
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 3.0.0
            Reporter: Marcelo Vanzin


I ran into this when running unit tests with Parquet 1.11. It seems that 1.10 has the same behavior in a few places but Spark somehow doesn't trigger those code paths.

Basically, {{UserDefinedPredicate.keep}} should be null-safe, and Spark's implementation is not. This was clarified in Parquet's documentation in PARQUET-1489.

Failure I was getting:

{noformat}
Job aborted due to stage failure: Task 0 in stage 1304.0 failed 1 times, most recent failure: Lost task 0.0 in stage 1304.0 (TID 2528, localhost, executor driver): java.lang.NullPointerException&#010; at org.apache.spark.sql.execution.datasources.parquet.ParquetFilters$$anonfun$createFilter$16$$anon$1.keep(ParquetFilters.scala:544)&#010; at org.apache.spark.sql.execution.datasources.parquet.ParquetFilters$$anonfun$createFilter$16$$anon$1.keep(ParquetFilters.scala:523)&#010; at org.apache.parquet.internal.filter2.columnindex.ColumnIndexFilter.visit(ColumnIndexFilter.java:152)&#010; at org.apache.parquet.internal.filter2.columnindex.ColumnIndexFilter.visit(ColumnIndexFilter.java:56)&#010; at org.apache.parquet.filter2.predicate.Operators$UserDefined.accept(Operators.java:377)&#010; at org.apache.parquet.internal.filter2.columnindex.ColumnIndexFilter.visit(ColumnIndexFilter.java:181)&#010; at org.apache.parquet.internal.filter2.columnindex.ColumnIndexFilter.visit(ColumnIndexFilter.java:56)&#010; at org.apache.parquet.filter2.predicate.Operators$And.accept(Operators.java:309)&#010; at org.apache.parquet.internal.filter2.columnindex.ColumnIndexFilter$1.visit(ColumnIndexFilter.java:86)&#010; at org.apache.parquet.internal.filter2.columnindex.ColumnIndexFilter$1.visit(ColumnIndexFilter.java:81)&#010; at org.apache.parquet.filter2.compat.FilterCompat$FilterPredicateCompat.accept(FilterCompat.java:137)&#010; at org.apache.parquet.internal.filter2.columnindex.ColumnIndexFilter.calculateRowRanges(ColumnIndexFilter.java:81)&#010; at org.apache.parquet.hadoop.ParquetFileReader.getRowRanges(ParquetFileReader.java:954)&#010; at org.apache.parquet.hadoop.ParquetFileReader.getFilteredRecordCount(ParquetFileReader.java:759)&#010; at org.apache.parquet.hadoop.InternalParquetRecordReader.initialize(InternalParquetRecordReader.java:207)&#010; at org.apache.parquet.hadoop.ParquetRecordReader.initializeInternalReader(ParquetRecordReader.java:182)&#010; at org.apache.parquet.hadoop.ParquetRecordReader.initialize(ParquetRecordReader.java:140)&#010; at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$buildReaderWithPartitionValues$1.apply(ParquetFileFormat.scala:439)&#010; at 
...
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