[jira] [Created] (SPARK-25271) Creating parquet table with all the column null throws exception

["shivusondur (JIRA)" <ji...@apache.org>]

shivusondur created SPARK-25271:
-----------------------------------

             Summary: Creating parquet table with all the column null throws exception
                 Key: SPARK-25271
                 URL: https://issues.apache.org/jira/browse/SPARK-25271
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 2.3.1
            Reporter: shivusondur



{code:java}
 1)cat /data/parquet.dat

1$abc2$pqr:3$xyz
null{code}
 


{code:java}
2)spark.sql("create table vp_reader_temp (projects map<int, string>) ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' COLLECTION ITEMS TERMINATED BY ':' MAP KEYS TERMINATED BY '$'")
{code}

{code:java}
3)spark.sql("
LOAD DATA LOCAL INPATH '/data/parquet.dat' INTO TABLE vp_reader_temp")
{code}

{code:java}
4)spark.sql("create table vp_reader STORED AS PARQUET as select * from vp_reader_temp")
{code}


*Result :* Throwing exception (Working fine with spark 2.2.1)

{code:java}
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 org.apache.parquet.hadoop.InternalParquetRecordWriter.write(InternalParquetRecordWriter.java:123)
	at org.apache.parquet.hadoop.ParquetRecordWriter.write(ParquetRecordWriter.java:180)
	at org.apache.parquet.hadoop.ParquetRecordWriter.write(ParquetRecordWriter.java:46)
	at org.apache.hadoop.hive.ql.io.parquet.write.ParquetRecordWriterWrapper.write(ParquetRecordWriterWrapper.java:112)
	at org.apache.hadoop.hive.ql.io.parquet.write.ParquetRecordWriterWrapper.write(ParquetRecordWriterWrapper.java:125)
	at org.apache.spark.sql.hive.execution.HiveOutputWriter.write(HiveFileFormat.scala:149)
	at org.apache.spark.sql.execution.datasources.FileFormatWriter$SingleDirectoryWriteTask.execute(FileFormatWriter.scala:406)
	at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:283)
	at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:281)
	at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1438)
	at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:286)
	at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:211)
	at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:210)
	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
	at org.apache.spark.scheduler.Task.run(Task.scala:109)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:349)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
	at java.lang.Thread.run(Thread.java:745)
Caused by: org.apache.parquet.io.ParquetEncodingException: empty fields are illegal, the field should be ommited completely instead
	at org.apache.parquet.io.MessageColumnIO$MessageColumnIORecordConsumer.endField(MessageColumnIO.java:320)
	at org.apache.parquet.io.RecordConsumerLoggingWrapper.endField(RecordConsumerLoggingWrapper.java:165)
	at org.apache.hadoop.hive.ql.io.parquet.write.DataWritableWriter.writeMap(DataWritableWriter.java:241)
	at org.apache.hadoop.hive.ql.io.parquet.write.DataWritableWriter.writeValue(DataWritableWriter.java:116)
	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}




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