saveAsBigQueryTable doesn't work

Question

I tried using spotify's spark-bigquery spark package to save dataframe into Google BigQuery table, but failed. I used it on Google's dataproc platform.

df.saveAsBigQueryTable("my-project:my_dataset.my_table")

here is the error log:

org.apache.spark.SparkException: Job aborted. at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply$mcV$sp(FileFormatWriter.scala:215) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:173) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:173) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:65) at org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:173) at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:145) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:58) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:56) at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:74) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:117) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:117) at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:138) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:135) at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:116) at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:92) at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:92) at org.apache.spark.sql.execution.datasources.DataSource.writeInFileFormat(DataSource.scala:438) at org.apache.spark.sql.execution.datasources.DataSource.write(DataSource.scala:474) at org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:48) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:58) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:56) at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:74) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:117) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:117) at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:138) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:135) at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:116) at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:92) at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:92) at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:610) at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:233) at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:217) at com.databricks.spark.avro.package$AvroDataFrameWriter$$anonfun$avro$1.apply(package.scala:26) at com.databricks.spark.avro.package$AvroDataFrameWriter$$anonfun$avro$1.apply(package.scala:26) at com.spotify.spark.bigquery.BigQueryDataFrame.saveAsBigQueryTable(BigQueryDataFrame.scala:54) at com.spotify.spark.bigquery.BigQueryDataFrame.saveAsBigQueryTable(BigQueryDataFrame.scala:67) ... 84 elided

Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 107.0 failed 4 times at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:272)" at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1$$anonfun$apply$mcV$sp$1.apply(FileFormatWriter.scala:191)" at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1$$anonfun$apply$mcV$sp$1.apply(FileFormatWriter.scala:190)" at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)" at org.apache.spark.scheduler.Task.run(Task.scala:108)" at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335)" at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)" at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)" at java.lang.Thread.run(Thread.java:748)" Caused by: java.lang.AbstractMethodError: org.apache.spark.sql.execution.datasources.OutputWriterFactory.getFileExtension(Lorg/apache/hadoop/mapreduce/TaskAttemptContext;)Ljava/lang/String; at org.apache.spark.sql.execution.datasources.FileFormatWriter$SingleDirectoryWriteTask.newOutputWriter(FileFormatWriter.scala:299)" at org.apache.spark.sql.execution.datasources.FileFormatWriter$SingleDirectoryWriteTask.execute(FileFormatWriter.scala:314)" at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:258)" at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:256)" at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1375)" at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:261)" ... 8 more"

Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1499) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1487) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1486) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1486) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:814) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:814) at scala.Option.foreach(Option.scala:257) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:814) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1714) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1669) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1658) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:630) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2022) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply$mcV$sp(FileFormatWriter.scala:188) ... 121 more Caused by: org.apache.spark.SparkException: Task failed while writing rows at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:272) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1$$anonfun$apply$mcV$sp$1.apply(FileFormatWriter.scala:191) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1$$anonfun$apply$mcV$sp$1.apply(FileFormatWriter.scala:190) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at org.apache.spark.scheduler.Task.run(Task.scala:108) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scal a:335) ... 3 more Caused by: java.lang.AbstractMethodError: org.apache.spark.sql.execution.datasources.OutputWriterFactory.getFileExtension(Lorg/apache/hadoop/mapreduce/TaskAttemptContext;)Ljava/lang/String; at org.apache.spark.sql.execution.datasources.FileFormatWriter$SingleDirectoryWriteTask.newOutputWriter(FileFormatWriter.scala:299) at org.apache.spark.sql.execution.datasources.FileFormatWriter$SingleDirectoryWriteTask.execute(FileFormatWriter.scala:314) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:258) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:256) at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1375) at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:261) ... 8 more

What are the versions you are using for spark-bigquery and the image version for Dataproc? — Angus Davis
for spark-bigquery: com.spotify:spark-bigquery_2.11:0.2.1. I didn't specify image version in launching Dataproc, but I looked at the detail of the cluster, it is 1.2.14. — bignano
I have tried other Dataproc versions as well, it looks like all 1.2. versions don't work. — bignano
any special chars in the dataset or table name, or really long names (just checking)? — Graham Polley
no, I have run test with simple table and simple table name. You can verify that on your side easily by creating a simple df and do saveAsBigQueryTable. i wonder if that happens to you too. thanks — bignano

Angus Davis Angus Davis · Accepted Answer · 2017-11-30T22:07:00

The part that I find suspicious is the bit that reads: Caused by: java.lang.AbstractMethodError: org.apache.spark.sql.execution.datasources.OutputWriterFactory.getFileExtension(Lorg/apache/hadoop/mapreduce/TaskAttemptContext;)Ljava/lang/String; at org.apache.spark.sql.execution.datasources.FileFormatWriter$SingleDirectoryWriteTask.newOutputWriter(FileFormatWriter.scala:299)"

Searching for this particular error leads to: https://github.com/databricks/spark-avro/issues/208.

As spark-avro has trouble with Spark 2.2, you may find using Dataproc image version 1.1 (Spark 2.0) makes the spark-bigquery library function properly.

saveAsBigQueryTable doesn't work

1 Answers