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Dongjoon Hyun updated SPARK-31345: ---------------------------------- Affects Version/s: 2.3.4 > Spark fails to write hive parquet table with empty array > -------------------------------------------------------- > > Key: SPARK-31345 > URL: https://issues.apache.org/jira/browse/SPARK-31345 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 2.3.4, 2.4.5 > Environment: - Spark 2.4.5 (compiled against hadoop 2.10.0, and > bundled with hadoop 2.10.0 dependencies in `spark.yarn.archive`) > - Hive 3.1.2 > - Hadoop 3.2.1 > Reporter: Naitree Zhu > Priority: Major > > When writing an existing Hive Parquet table using Spark SQL, I encountered an > error when writing empty `array()` or `map()`. > Test case to reproduce: > {code:java} > spark.sql("create table test_null (col1 array<int>) stored as parquet") > val df = spark.sql("select cast(array() as array<int>) as col1") > df.write.format("hive").mode("append").saveAsTable("default.test_null") > {code} > Exception raised: > {code:java} > 20/04/04 09:16:03 WARN TaskSetManager: Lost task 0.0 in stage 16.0 (TID 30, > test-node, executor 2): org.apache.spark.SparkException: Task failed while > writing rows. > at > org.apache.spark.sql.execution.datasources.FileFormatWriter$.executeTask(FileFormatWriter.scala:257) > at > org.apache.spark.sql.execution.datasources.FileFormatWriter$.$anonfun$write$15(FileFormatWriter.scala:177) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) > at org.apache.spark.scheduler.Task.run(Task.scala:123) > at > org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:411) > at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) > at java.lang.Thread.run(Thread.java:748) > Caused by: java.lang.RuntimeException: Parquet record is malformed: empty > fields are illegal, the field should be ommited completely instead > at > org.apache.hadoop.hive.ql.io.parquet.write.DataWritableWriter.write(DataWritableWriter.java:64) > at > org.apache.hadoop.hive.ql.io.parquet.write.DataWritableWriteSupport.write(DataWritableWriteSupport.java:59) > at > org.apache.hadoop.hive.ql.io.parquet.write.DataWritableWriteSupport.write(DataWritableWriteSupport.java:31) > at > parquet.hadoop.InternalParquetRecordWriter.write(InternalParquetRecordWriter.java:121) > at > parquet.hadoop.ParquetRecordWriter.write(ParquetRecordWriter.java:123) > at parquet.hadoop.ParquetRecordWriter.write(ParquetRecordWriter.java:42) > at > org.apache.hadoop.hive.ql.io.parquet.write.ParquetRecordWriterWrapper.write(ParquetRecordWriterWrapper.java:111) > at > org.apache.hadoop.hive.ql.io.parquet.write.ParquetRecordWriterWrapper.write(ParquetRecordWriterWrapper.java:124) > at > org.apache.spark.sql.hive.execution.HiveOutputWriter.write(HiveFileFormat.scala:149) > at > org.apache.spark.sql.execution.datasources.SingleDirectoryDataWriter.write(FileFormatDataWriter.scala:137) > at > org.apache.spark.sql.execution.datasources.FileFormatWriter$.$anonfun$executeTask$1(FileFormatWriter.scala:245) > at > org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1394) > at > org.apache.spark.sql.execution.datasources.FileFormatWriter$.executeTask(FileFormatWriter.scala:242) > ... 9 more > Caused by: parquet.io.ParquetEncodingException: empty fields are illegal, the > field should be ommited completely instead > at > parquet.io.MessageColumnIO$MessageColumnIORecordConsumer.endField(MessageColumnIO.java:244) > at > org.apache.hadoop.hive.ql.io.parquet.write.DataWritableWriter.writeArray(DataWritableWriter.java:186) > at > org.apache.hadoop.hive.ql.io.parquet.write.DataWritableWriter.writeValue(DataWritableWriter.java:113) > at > org.apache.hadoop.hive.ql.io.parquet.write.DataWritableWriter.writeGroupFields(DataWritableWriter.java:89) > at > org.apache.hadoop.hive.ql.io.parquet.write.DataWritableWriter.write(DataWritableWriter.java:60) > ... 21 more > {code} > However, letting spark to create the table implicitly, it would succeed. > {code:java} > spark.sql("drop table default.test_null") > df.write.format("parquet").mode("append").saveAsTable("default.test_null") > {code} -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org