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From jurriaan <...@git.apache.org>
Subject [GitHub] spark pull request: [SPARK-10216][SQL] Avoid creating empty files ...
Date Wed, 18 May 2016 20:38:27 GMT
Github user jurriaan commented on the pull request:

    https://github.com/apache/spark/pull/12855#issuecomment-220150712
  
    This breaks writing empty dataframes for me.
    
    Before this PR I could write empty dataframes without any problems. 
    
    Now it only writes a _SUCCESS file, and no metadata. Also, it sometimes throws a NullPointerException:
    
    ```8-May-2016 22:37:14 WARNING: org.apache.parquet.hadoop.ParquetOutputCommitter: could
not write summary file for file:/Users/jurriaanpruis/Downloads/spark-2.0.0-SNAPSHOT-bin-hadoop2.7-2/test
    java.lang.NullPointerException
    	at org.apache.parquet.hadoop.ParquetFileWriter.mergeFooters(ParquetFileWriter.java:456)
    	at org.apache.parquet.hadoop.ParquetFileWriter.writeMetadataFile(ParquetFileWriter.java:420)
    	at org.apache.parquet.hadoop.ParquetOutputCommitter.writeMetaDataFile(ParquetOutputCommitter.java:58)
    	at org.apache.parquet.hadoop.ParquetOutputCommitter.commitJob(ParquetOutputCommitter.java:48)
    	at org.apache.spark.sql.execution.datasources.BaseWriterContainer.commitJob(WriterContainer.scala:220)
    	at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1.apply$mcV$sp(InsertIntoHadoopFsRelation.scala:144)
    	at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1.apply(InsertIntoHadoopFsRelation.scala:115)
    	at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1.apply(InsertIntoHadoopFsRelation.scala:115)
    	at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:57)
    	at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation.run(InsertIntoHadoopFsRelation.scala:115)
    	at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:57)
    	at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:55)
    	at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:69)
    	at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:115)
    	at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:115)
    	at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:136)
    	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
    	at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:133)
    	at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:114)
    	at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:85)
    	at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:85)
    	at org.apache.spark.sql.execution.datasources.DataSource.write(DataSource.scala:417)
    	at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:252)
    	at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:234)
    	at org.apache.spark.sql.DataFrameWriter.parquet(DataFrameWriter.scala:626)
    	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    	at java.lang.reflect.Method.invoke(Method.java:498)
    	at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:237)
    	at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
    	at py4j.Gateway.invoke(Gateway.java:280)
    	at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:128)
    	at py4j.commands.CallCommand.execute(CallCommand.java:79)
    	at py4j.GatewayConnection.run(GatewayConnection.java:211)
    	at java.lang.Thread.run(Thread.java:745)```


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