pin_zhang created SPARK-18536:
---------------------------------
Summary: Failed to save to hive table when case class with empty
field
Key: SPARK-18536
URL: https://issues.apache.org/jira/browse/SPARK-18536
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 2.0.1
Reporter: pin_zhang
import scala.collection.mutable.Queue
import org.apache.spark.SparkConf
import org.apache.spark.SparkContext
import org.apache.spark.sql.SaveMode
import org.apache.spark.sql.SparkSession
import org.apache.spark.streaming.Seconds
import org.apache.spark.streaming.StreamingContext
1. Test code
case class EmptyC()
case class EmptyCTable(dimensions: EmptyC, timebin: java.lang.Long)
object EmptyTest {
def main(args: Array[String]): Unit = {
val conf = new SparkConf().setAppName("scala").setMaster("local[2]")
val ctx = new SparkContext(conf)
val spark =
SparkSession.builder().enableHiveSupport().config(conf).getOrCreate()
val seq = Seq(EmptyCTable(EmptyC(), 1000000L))
val rdd = ctx.makeRDD[EmptyCTable](seq)
val ssc = new StreamingContext(ctx, Seconds(1))
val queue = Queue(rdd)
val s = ssc.queueStream(queue, false);
s.foreachRDD((rdd, time) => {
if (!rdd.isEmpty) {
import spark.sqlContext.implicits._
rdd.toDF.write.mode(SaveMode.Overwrite).saveAsTable("empty_table")
}
})
ssc.start()
ssc.awaitTermination()
}
}
2. Exception
Caused by: java.lang.IllegalStateException: Cannot build an empty group
at org.apache.parquet.Preconditions.checkState(Preconditions.java:91)
at org.apache.parquet.schema.Types$GroupBuilder.build(Types.java:554)
at org.apache.parquet.schema.Types$GroupBuilder.build(Types.java:426)
at org.apache.parquet.schema.Types$Builder.named(Types.java:228)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter.convertField(ParquetSchemaConverter.scala:527)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter.convertField(ParquetSchemaConverter.scala:321)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter$$anonfun$convert$1.apply(ParquetSchemaConverter.scala:313)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter$$anonfun$convert$1.apply(ParquetSchemaConverter.scala:313)
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$class.foreach(IterableLike.scala:72)
at org.apache.spark.sql.types.StructType.foreach(StructType.scala:95)
at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
at org.apache.spark.sql.types.StructType.map(StructType.scala:95)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter.convert(ParquetSchemaConverter.scala:313)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetWriteSupport.init(ParquetWriteSupport.scala:85)
at
org.apache.parquet.hadoop.ParquetOutputFormat.getRecordWriter(ParquetOutputFormat.java:288)
at
org.apache.parquet.hadoop.ParquetOutputFormat.getRecordWriter(ParquetOutputFormat.java:262)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetOutputWriter.<init>(ParquetFileFormat.scala:562)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anon$1.newInstance(ParquetFileFormat.scala:139)
at
org.apache.spark.sql.execution.datasources.BaseWriterContainer.newOutputWriter(WriterContainer.scala:131)
at
org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:247)
at
org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(InsertIntoHadoopFsRelationCommand.scala:143)
at
org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(InsertIntoHadoopFsRelationCommand.scala:143)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
at org.apache.spark.scheduler.Task.run(Task.scala:86)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
... 3 more
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