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Apache Spark commented on SPARK-11997: -------------------------------------- User 'dilipbiswal' has created a pull request for this issue: https://github.com/apache/spark/pull/10001 > NPE when save a DataFrame as parquet and partitioned by long column > ------------------------------------------------------------------- > > Key: SPARK-11997 > URL: https://issues.apache.org/jira/browse/SPARK-11997 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 1.6.0 > Reporter: Davies Liu > Priority: Blocker > > {code} > >>> sqlContext.range(1<<20).selectExpr("if(id % 10 = 0, null, (id % 111) - > >>> 50) AS n", "id").write.partitionBy("n").parquet("myid3") > 15/11/25 12:05:57 ERROR InsertIntoHadoopFsRelation: Aborting job. > java.lang.NullPointerException > at > org.apache.spark.sql.catalyst.InternalRow.getString(InternalRow.scala:32) > at > org.apache.spark.sql.sources.HadoopFsRelation$$anonfun$org$apache$spark$sql$sources$HadoopFsRelation$$castPartitionValuesToUserSchema$1$1.apply(interfaces.scala:610) > at > org.apache.spark.sql.sources.HadoopFsRelation$$anonfun$org$apache$spark$sql$sources$HadoopFsRelation$$castPartitionValuesToUserSchema$1$1.apply(interfaces.scala:608) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244) > at scala.collection.immutable.Range.foreach(Range.scala:141) > at scala.collection.TraversableLike$class.map(TraversableLike.scala:244) > at scala.collection.AbstractTraversable.map(Traversable.scala:105) > at > org.apache.spark.sql.sources.HadoopFsRelation.org$apache$spark$sql$sources$HadoopFsRelation$$castPartitionValuesToUserSchema$1(interfaces.scala:608) > at > org.apache.spark.sql.sources.HadoopFsRelation$$anonfun$org$apache$spark$sql$sources$HadoopFsRelation$$discoverPartitions$1.apply(interfaces.scala:616) > at > org.apache.spark.sql.sources.HadoopFsRelation$$anonfun$org$apache$spark$sql$sources$HadoopFsRelation$$discoverPartitions$1.apply(interfaces.scala:615) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244) > at > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) > at scala.collection.TraversableLike$class.map(TraversableLike.scala:244) > at scala.collection.AbstractTraversable.map(Traversable.scala:105) > at > org.apache.spark.sql.sources.HadoopFsRelation.org$apache$spark$sql$sources$HadoopFsRelation$$discoverPartitions(interfaces.scala:615) > at > org.apache.spark.sql.sources.HadoopFsRelation.refresh(interfaces.scala:590) > at > org.apache.spark.sql.execution.datasources.parquet.ParquetRelation.refresh(ParquetRelation.scala:204) > at > org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1.apply$mcV$sp(InsertIntoHadoopFsRelation.scala:152) > at > org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1.apply(InsertIntoHadoopFsRelation.scala:108) > at > org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1.apply(InsertIntoHadoopFsRelation.scala:108) > at > org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:56) > at > org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation.run(InsertIntoHadoopFsRelation.scala:108) > at > org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult$lzycompute(commands.scala:58) > at > org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult(commands.scala:56) > at > org.apache.spark.sql.execution.ExecutedCommand.doExecute(commands.scala:70) > at > org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:133) > at > org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:131) > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150) > at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:131) > at > org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:56) > at > org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:56) > at > org.apache.spark.sql.execution.datasources.ResolvedDataSource$.apply(ResolvedDataSource.scala:242) > at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:148) > at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:139) > at > org.apache.spark.sql.DataFrameWriter.parquet(DataFrameWriter.scala:329) > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) > at > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:606) > at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231) > at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:381) > at py4j.Gateway.invoke(Gateway.java:259) > at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133) > at py4j.commands.CallCommand.execute(CallCommand.java:79) > at py4j.GatewayConnection.run(GatewayConnection.java:209) > at java.lang.Thread.run(Thread.java:745) > {code} -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional 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