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https://issues.apache.org/jira/browse/SPARK-35461?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dongjoon Hyun updated SPARK-35461:
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Affects Version/s: (was: 3.1.1)
(was: 3.0.2)
3.2.0
> Error when reading dictionary-encoded Parquet int column when read schema is
> bigint
> -----------------------------------------------------------------------------------
>
> Key: SPARK-35461
> URL: https://issues.apache.org/jira/browse/SPARK-35461
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.2.0
> Reporter: Chao Sun
> Priority: Major
>
> When reading a dictionary-encoded integer column from a Parquet file, and
> users specify read schema to be bigint, Spark currently will fail with the
> following exception:
> {code}
> java.lang.UnsupportedOperationException:
> org.apache.parquet.column.values.dictionary.PlainValuesDictionary$PlainIntegerDictionary
> at org.apache.parquet.column.Dictionary.decodeToLong(Dictionary.java:49)
> at
> org.apache.spark.sql.execution.datasources.parquet.ParquetDictionary.decodeToLong(ParquetDictionary.java:50)
> at
> org.apache.spark.sql.execution.vectorized.OnHeapColumnVector.getLong(OnHeapColumnVector.java:364)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
> Source)
> at
> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> at
> org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:759)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:344)
> {code}
> To reproduce:
> {code}
> val data = (0 to 10).flatMap(n => Seq.fill(10)(n)).map(i => (i,
> i.toString))
> withParquetFile(data) { path =>
> val readSchema = StructType(Seq(StructField("_1", LongType)))
> spark.read.schema(readSchema).parquet(path).first()
> }
> {code}
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