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https://issues.apache.org/jira/browse/SPARK-18984?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15771675#comment-15771675
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Hyukjin Kwon edited comment on SPARK-18984 at 12/23/16 2:41 AM:
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It seems this is fixed together in SPARK-18658 in in master. Null check logic
was introduced there - {{if (!row.isNullAt(0)) ..}} but this was only merged
into master.
The reproducible codes I tested was as below:
{code}
Seq(Some("a"), None).toDF.write.text("/tmp/abc")
{code}
Could you please confirm if this is fine in the master?
BTW, I think {{nullValue}} is CSV datasource specific option.
was (Author: hyukjin.kwon):
It seems this is fixed together in SPARK-18658 in in master. Null check logic
was introduced there - {{ if (!row.isNullAt(0)) ..}} but this was only merged
into master.
The reproducible codes I tested was as below:
{code}
Seq(Some("a"), None).toDF.write.text("/tmp/abc")
{code}
Could you please confirm if this is fine in the master?
BTW, I think {{nullValue}} is CSV datasource specific option.
> Concat with ds.write.text() throw exception if column contains null data
> ------------------------------------------------------------------------
>
> Key: SPARK-18984
> URL: https://issues.apache.org/jira/browse/SPARK-18984
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.0.2
> Environment: spark2.02 scala 2.11.8
> Reporter: Tony Fraser
>
> val customOutputFormat = outbound.select(concat(
> outbound.col("device_id"), lit ("\t"),
> lit("\"device\"=\""), col("device"), lit("\","),
> lit("\"_fd_cast\"=\""), col("_fd_cast"), lit("\",")
> ).where("device_type='ios_app' and _fd_cast is not null")
> customOutputFormat
> .limit(1000)
> .write
> .option("nullValue", "NULL")
> .mode("overwrite")
> .text("/filepath")
> There is no problem writing to JSON, CSV or Parquet. And above code works. As
> soon as you take out "and _fd_cast is not null" though it throws the
> exception below. And using either nullValue either treatEmptyValuesAsNulls
> either reading in or writing out doesn't seem to matter.
> Exception is:
> 16/12/22 14:16:18 INFO ShuffleBlockFetcherIterator: Started 0 remote fetches
> in 5 ms
> 16/12/22 14:16:18 INFO DefaultWriterContainer: Using output committer class
> org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter
> 16/12/22 14:16:18 ERROR Utils: Aborting task
> java.lang.NullPointerException
> at
> org.apache.spark.sql.execution.datasources.text.TextOutputWriter.writeInternal(TextFileFormat.scala:146)
> at
> org.apache.spark.sql.execution.datasources.DefaultWriterContainer$$anonfun$writeRows$1.apply$mcV$sp(WriterContainer.scala:255)
> at
> org.apache.spark.sql.execution.datasources.DefaultWriterContainer$$anonfun$writeRows$1.apply(WriterContainer.scala:252)
> at
> org.apache.spark.sql.execution.datasources.DefaultWriterContainer$$anonfun$writeRows$1.apply(WriterContainer.scala:252)
> at
> org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1325)
> at
> org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:258)
> at
> org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(InsertIntoHadoopFsRelationCommand.scala:143)
> at
> org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(InsertIntoHadoopFsRelationCommand.scala:143)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
> at org.apache.spark.scheduler.Task.run(Task.scala:85)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> 16/12/22 14:16:18 ERROR DefaultWriterContainer: Task attempt
> attempt_201612221416_0002_m_000000_0 aborted.
> 16/12/22 14:16:18 ERROR Executor: Exception in task 0.0 in stage 2.0 (TID 2)
> org.apache.spark.SparkException: Task failed while writing rows
> at
> org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:261)
> at
> org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(InsertIntoHadoopFsRelationCommand.scala:143)
> at
> org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(InsertIntoHadoopFsRelationCommand.scala:143)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
> at org.apache.spark.scheduler.Task.run(Task.scala:85)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: java.lang.NullPointerException
> at
> org.apache.spark.sql.execution.datasources.text.TextOutputWriter.writeInternal(TextFileFormat.scala:146)
> at
> org.apache.spark.sql.execution.datasources.DefaultWriterContainer$$anonfun$writeRows$1.apply$mcV$sp(WriterContainer.scala:255)
> at
> org.apache.spark.sql.execution.datasources.DefaultWriterContainer$$anonfun$writeRows$1.apply(WriterContainer.scala:252)
> at
> org.apache.spark.sql.execution.datasources.DefaultWriterContainer$$anonfun$writeRows$1.apply(WriterContainer.scala:252)
> at
> org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1325)
> at
> org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:258)
> ... 8 more
> 16/12/22 14:16:18 WARN TaskSetManager: Lost task 0.0 in stage 2.0 (TID 2,
> localhost): org.apache.spark.SparkException: Task failed while writing rows
> at
> org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:261)
> 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$1.apply(InsertIntoHadoopFsRelationCommand.scala:143)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
> at org.apache.spark.scheduler.Task.run(Task.scala:85)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
> 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: java.lang.NullPointerException
> at
> org.apache.spark.sql.execution.datasources.text.TextOutputWriter.writeInternal(TextFileFormat.scala:146)
> at
> org.apache.spark.sql.execution.datasources.DefaultWriterContainer$$anonfun$writeRows$1.apply$mcV$sp(WriterContainer.scala:255)
> at
> org.apache.spark.sql.execution.datasources.DefaultWriterContainer$$anonfun$writeRows$1.apply(WriterContainer.scala:252)
> at
> org.apache.spark.sql.execution.datasources.DefaultWriterContainer$$anonfun$writeRows$1.apply(WriterContainer.scala:252)
> at
> org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1325)
> at
> org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:258)
> ... 8 more
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