Mikael Valot created SPARK-22474:
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Summary: cannot read a parquet file containing a
Seq[Map[MyCaseClass, String]]
Key: SPARK-22474
URL: https://issues.apache.org/jira/browse/SPARK-22474
Project: Spark
Issue Type: Bug
Components: Spark Core
Affects Versions: 2.2.0
Reporter: Mikael Valot
The following code run in spark-shell throws an exception. It is working fine
in Spark 2.0.2
{code:java}
case class MyId(v: String)
case class MyClass(infos: Seq[Map[MyId, String]])
val seq = Seq(MyClass(Seq(Map(MyId("1234") -> "blah"))))
seq.toDS().write.parquet("/tmp/myclass")
spark.read.parquet("/tmp/myclass").as[MyClass].collect()
Caused by: org.apache.spark.sql.AnalysisException: Map key type is expected to
be a primitive type, but found: required group key {
optional binary v (UTF8);
};
at
org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter$.checkConversionRequirement(ParquetSchemaConverter.scala:581)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter$$anonfun$convertGroupField$2.apply(ParquetSchemaConverter.scala:246)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter$$anonfun$convertGroupField$2.apply(ParquetSchemaConverter.scala:201)
at scala.Option.fold(Option.scala:158)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter.convertGroupField(ParquetSchemaConverter.scala:201)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter.convertField(ParquetSchemaConverter.scala:109)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter$$anonfun$2.apply(ParquetSchemaConverter.scala:87)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter$$anonfun$2.apply(ParquetSchemaConverter.scala:84)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at scala.collection.Iterator$class.foreach(Iterator.scala:893)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
at scala.collection.AbstractTraversable.map(Traversable.scala:104)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter.org$apache$spark$sql$execution$datasources$parquet$ParquetSchemaConverter$$convert(ParquetSchemaConverter.scala:84)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter$$anonfun$convertGroupField$1.apply(ParquetSchemaConverter.scala:201)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter$$anonfun$convertGroupField$1.apply(ParquetSchemaConverter.scala:201)
at scala.Option.fold(Option.scala:158)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter.convertGroupField(ParquetSchemaConverter.scala:201)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter.convertField(ParquetSchemaConverter.scala:109)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetRowConverter$ParquetArrayConverter.<init>(ParquetRowConverter.scala:483)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetRowConverter.org$apache$spark$sql$execution$datasources$parquet$ParquetRowConverter$$newConverter(ParquetRowConverter.scala:298)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetRowConverter$$anonfun$6.apply(ParquetRowConverter.scala:183)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetRowConverter$$anonfun$6.apply(ParquetRowConverter.scala:180)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
at scala.collection.AbstractTraversable.map(Traversable.scala:104)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetRowConverter.<init>(ParquetRowConverter.scala:180)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetRecordMaterializer.<init>(ParquetRecordMaterializer.scala:38)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetReadSupport.prepareForRead(ParquetReadSupport.scala:95)
at
org.apache.parquet.hadoop.InternalParquetRecordReader.initialize(InternalParquetRecordReader.java:175)
at
org.apache.parquet.hadoop.ParquetRecordReader.initializeInternalReader(ParquetRecordReader.java:190)
at
org.apache.parquet.hadoop.ParquetRecordReader.initialize(ParquetRecordReader.java:147)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$buildReaderWithPartitionValues$1.apply(ParquetFileFormat.scala:381)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$buildReaderWithPartitionValues$1.apply(ParquetFileFormat.scala:337)
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:124)
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:174)
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:105)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown
Source)
at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:395)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:234)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:228)
at
org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827)
at
org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:108)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
{code}
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