Apache Spark Exception: FileAlreadyExistsException: Operation failed: "The specified path already exists."

Apache Spark Exception: FileAlreadyExistsException: Operation failed: "The specified path already exists." - scala

I’m facing errors while writing parquet data to some temporary folder in ADLS-GEN2.
My folder ‘X’ has parquet files Partitioned with YYYY MM DD sub folders. I have loaded entire data from ‘X’ folder to a dataframe and tried to write the data from dataframe to some temporary folder ‘y’ in ADLS gen2 using simple command below. But writing to folder ‘y’ is failing with below error. Any help/suggestions greatly appreciated .
WriteCommand:
Folder_x_df.write.mode("overwrite")
.option("header","true")
.parquet(folder_y_path)
Error:
Job aborted.Caused by: Job aborted due to stage failure.Caused by: FileAlreadyExistsException: Operation failed: "The specified path already exists.", 409, PUT,https://adlsname.dfs.core.windows.net/............./y/part-00221-c0d1b33f-65f1-4474-a4c8-094df51599bd-c000.snappy.parquet?resource=file&timeout=90, PathAlreadyExists, "The specified path already exists. RequestId:5393b5b3-801f-0003-1da7-16cfb5000000 Time:2021-03-11T18:50:09.5444226Z". Caused by: AbfsRestOperationException....
I'm using cluster version: 6.4.x-scala2.11
Completed Error Log:
at org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:201)
at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:192)
at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult$lzycompute(commands.scala:108)
at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:106)
at org.apache.spark.sql.execution.command.DataWritingCommandExec.doExecute(commands.scala:126)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:152)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:140)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$5.apply(SparkPlan.scala:193)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:189)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:140)
at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:117)
at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:115)
at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:711)
at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:711)
at org.apache.spark.sql.execution.SQLExecution$$anonfun$withCustomExecutionEnv$1.apply(SQLExecution.scala:113)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:243)
at org.apache.spark.sql.execution.SQLExecution$.withCustomExecutionEnv(SQLExecution.scala:99)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:173)
at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:711)
at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:307)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:293)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:235)
at org.apache.spark.sql.DataFrameWriter.parquet(DataFrameWriter.scala:601)
at lined41e33c74e694199a189dffb81fc63f246.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(command-1978144014673122:26)
at lined41e33c74e694199a189dffb81fc63f246.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(command-1978144014673122:176)
at lined41e33c74e694199a189dffb81fc63f246.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(command-1978144014673122:178)
at lined41e33c74e694199a189dffb81fc63f246.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(command-1978144014673122:180)
at lined41e33c74e694199a189dffb81fc63f246.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(command-1978144014673122:182)
at lined41e33c74e694199a189dffb81fc63f246.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(command-1978144014673122:184)
at lined41e33c74e694199a189dffb81fc63f246.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(command-1978144014673122:186)
at lined41e33c74e694199a189dffb81fc63f246.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(command-1978144014673122:188)
at lined41e33c74e694199a189dffb81fc63f246.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(command-1978144014673122:190)
at lined41e33c74e694199a189dffb81fc63f246.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(command-1978144014673122:192)
at lined41e33c74e694199a189dffb81fc63f246.$read$$iw$$iw$$iw$$iw$$iw$$iw.<init>(command-1978144014673122:194)
at lined41e33c74e694199a189dffb81fc63f246.$read$$iw$$iw$$iw$$iw$$iw.<init>(command-1978144014673122:196)
at lined41e33c74e694199a189dffb81fc63f246.$read$$iw$$iw$$iw$$iw.<init>(command-1978144014673122:198)
at lined41e33c74e694199a189dffb81fc63f246.$read$$iw$$iw$$iw.<init>(command-1978144014673122:200)
at lined41e33c74e694199a189dffb81fc63f246.$read$$iw$$iw.<init>(command-1978144014673122:202)
at lined41e33c74e694199a189dffb81fc63f246.$read$$iw.<init>(command-1978144014673122:204)
at lined41e33c74e694199a189dffb81fc63f246.$read.<init>(command-1978144014673122:206)
at lined41e33c74e694199a189dffb81fc63f246.$read$.<init>(command-1978144014673122:210)
at lined41e33c74e694199a189dffb81fc63f246.$read$.<clinit>(command-1978144014673122)
at lined41e33c74e694199a189dffb81fc63f246.$eval$.$print$lzycompute(<notebook>:7)
at lined41e33c74e694199a189dffb81fc63f246.$eval$.$print(<notebook>:6)
at lined41e33c74e694199a189dffb81fc63f246.$eval.$print(<notebook>)
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 scala.tools.nsc.interpreter.IMain$ReadEvalPrint.call(IMain.scala:793)
at scala.tools.nsc.interpreter.IMain$Request.loadAndRun(IMain.scala:1054)
at scala.tools.nsc.interpreter.IMain$WrappedRequest$$anonfun$loadAndRunReq$1.apply(IMain.scala:645)
at scala.tools.nsc.interpreter.IMain$WrappedRequest$$anonfun$loadAndRunReq$1.apply(IMain.scala:644)
at scala.reflect.internal.util.ScalaClassLoader$class.asContext(ScalaClassLoader.scala:31)
at scala.reflect.internal.util.AbstractFileClassLoader.asContext(AbstractFileClassLoader.scala:19)
at scala.tools.nsc.interpreter.IMain$WrappedRequest.loadAndRunReq(IMain.scala:644)
at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:576)
at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:572)
at com.databricks.backend.daemon.driver.DriverILoop.execute(DriverILoop.scala:215)
at com.databricks.backend.daemon.driver.ScalaDriverLocal$$anonfun$repl$1.apply$mcV$sp(ScalaDriverLocal.scala:202)
at com.databricks.backend.daemon.driver.ScalaDriverLocal$$anonfun$repl$1.apply(ScalaDriverLocal.scala:202)
at com.databricks.backend.daemon.driver.ScalaDriverLocal$$anonfun$repl$1.apply(ScalaDriverLocal.scala:202)
at com.databricks.backend.daemon.driver.DriverLocal$TrapExitInternal$.trapExit(DriverLocal.scala:714)
at com.databricks.backend.daemon.driver.DriverLocal$TrapExit$.apply(DriverLocal.scala:667)
at com.databricks.backend.daemon.driver.ScalaDriverLocal.repl(ScalaDriverLocal.scala:202)
at com.databricks.backend.daemon.driver.DriverLocal$$anonfun$execute$9.apply(DriverLocal.scala:396)
at com.databricks.backend.daemon.driver.DriverLocal$$anonfun$execute$9.apply(DriverLocal.scala:373)
at com.databricks.logging.UsageLogging$$anonfun$withAttributionContext$1.apply(UsageLogging.scala:238)
at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
at com.databricks.logging.UsageLogging$class.withAttributionContext(UsageLogging.scala:233)
at com.databricks.backend.daemon.driver.DriverLocal.withAttributionContext(DriverLocal.scala:49)
at com.databricks.logging.UsageLogging$class.withAttributionTags(UsageLogging.scala:275)
at com.databricks.backend.daemon.driver.DriverLocal.withAttributionTags(DriverLocal.scala:49)
at com.databricks.backend.daemon.driver.DriverLocal.execute(DriverLocal.scala:373)
at com.databricks.backend.daemon.driver.DriverWrapper$$anonfun$tryExecutingCommand$2.apply(DriverWrapper.scala:644)
at com.databricks.backend.daemon.driver.DriverWrapper$$anonfun$tryExecutingCommand$2.apply(DriverWrapper.scala:644)
at scala.util.Try$.apply(Try.scala:192)
at com.databricks.backend.daemon.driver.DriverWrapper.tryExecutingCommand(DriverWrapper.scala:639)
at com.databricks.backend.daemon.driver.DriverWrapper.getCommandOutputAndError(DriverWrapper.scala:485)
at com.databricks.backend.daemon.driver.DriverWrapper.executeCommand(DriverWrapper.scala:597)
at com.databricks.backend.daemon.driver.DriverWrapper.runInnerLoop(DriverWrapper.scala:390)
at com.databricks.backend.daemon.driver.DriverWrapper.runInner(DriverWrapper.scala:337)
at com.databricks.backend.daemon.driver.DriverWrapper.run(DriverWrapper.scala:219)
at java.lang.Thread.run(Thread.java:748)
Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 136 in stage 6.0 failed 4 times, most recent failure: Lost task 136.3 in stage 6.0 (TID 166, 10.139.64.6, executor 2): org.apache.hadoop.fs.FileAlreadyExistsException: PUT, https://adlsname.dfs.core.windows.net/............./y/part-00136-360acd3f-6ae8-4e37-8dce-eb6b47bd0407-c000.snappy.parquet?resource=file&timeout=90
StatusCode=409
StatusDescription=The specified path already exists.
ErrorCode=PathAlreadyExists
ErrorMessage=The specified path already exists.
RequestId:24504b99-d01f-0094-639e-1500eb000000
Time:2021-03-10T11:10:42.1357194Z
at shaded.databricks.v20180920_b33d810.org.apache.hadoop.fs.azurebfs.AzureBlobFileSystem.checkException(AzureBlobFileSystem.java:946)
at shaded.databricks.v20180920_b33d810.org.apache.hadoop.fs.azurebfs.AzureBlobFileSystem.create(AzureBlobFileSystem.java:224)
at com.databricks.spark.metrics.FileSystemWithMetrics.create(FileSystemWithMetrics.scala:291)
at com.databricks.backend.daemon.data.client.DatabricksFileSystemV2$$anonfun$create$1$$anonfun$apply$10$$anonfun$apply$11.apply(DatabricksFileSystemV2.scala:544)
at com.databricks.backend.daemon.data.client.DatabricksFileSystemV2$$anonfun$create$1$$anonfun$apply$10$$anonfun$apply$11.apply(DatabricksFileSystemV2.scala:541)
at com.databricks.s3a.S3AExeceptionUtils$.convertAWSExceptionToJavaIOException(DatabricksStreamUtils.scala:108)
at com.databricks.backend.daemon.data.client.DatabricksFileSystemV2$$anonfun$create$1$$anonfun$apply$10.apply(DatabricksFileSystemV2.scala:541)
at com.databricks.backend.daemon.data.client.DatabricksFileSystemV2$$anonfun$create$1$$anonfun$apply$10.apply(DatabricksFileSystemV2.scala:541)
at com.databricks.backend.daemon.data.client.DatabricksFileSystemV2$$anonfun$withUserContextRecorded$1.apply(DatabricksFileSystemV2.scala:936)
at com.databricks.logging.UsageLogging$$anonfun$withAttributionContext$1.apply(UsageLogging.scala:238)
at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
at com.databricks.logging.UsageLogging$class.withAttributionContext(UsageLogging.scala:233)
at com.databricks.backend.daemon.data.client.DatabricksFileSystemV2.withAttributionContext(DatabricksFileSystemV2.scala:450)
at com.databricks.logging.UsageLogging$class.withAttributionTags(UsageLogging.scala:275)
at com.databricks.backend.daemon.data.client.DatabricksFileSystemV2.withAttributionTags(DatabricksFileSystemV2.scala:450)
at com.databricks.backend.daemon.data.client.DatabricksFileSystemV2.withUserContextRecorded(DatabricksFileSystemV2.scala:909)
at com.databricks.backend.daemon.data.client.DatabricksFileSystemV2$$anonfun$create$1.apply(DatabricksFileSystemV2.scala:540)
at com.databricks.backend.daemon.data.client.DatabricksFileSystemV2$$anonfun$create$1.apply(DatabricksFileSystemV2.scala:540)
at com.databricks.logging.UsageLogging$$anonfun$recordOperation$1.apply(UsageLogging.scala:428)
at com.databricks.logging.UsageLogging$$anonfun$withAttributionContext$1.apply(UsageLogging.scala:238)
at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
at com.databricks.logging.UsageLogging$class.withAttributionContext(UsageLogging.scala:233)
at com.databricks.backend.daemon.data.client.DatabricksFileSystemV2.withAttributionContext(DatabricksFileSystemV2.scala:450)
at com.databricks.logging.UsageLogging$class.withAttributionTags(UsageLogging.scala:275)
at com.databricks.backend.daemon.data.client.DatabricksFileSystemV2.withAttributionTags(DatabricksFileSystemV2.scala:450)
at com.databricks.logging.UsageLogging$class.recordOperation(UsageLogging.scala:409)
at com.databricks.backend.daemon.data.client.DatabricksFileSystemV2.recordOperation(DatabricksFileSystemV2.scala:450)
at com.databricks.backend.daemon.data.client.DatabricksFileSystemV2.create(DatabricksFileSystemV2.scala:537)
at com.databricks.backend.daemon.data.client.DatabricksFileSystem.create(DatabricksFileSystem.scala:128)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:911)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:892)
at org.apache.parquet.hadoop.util.HadoopOutputFile.create(HadoopOutputFile.java:74)
at org.apache.parquet.hadoop.ParquetFileWriter.<init>(ParquetFileWriter.java:255)
at org.apache.parquet.hadoop.ParquetOutputFormat.getRecordWriter(ParquetOutputFormat.java:433)
at org.apache.parquet.hadoop.ParquetOutputFormat.getRecordWriter(ParquetOutputFormat.java:382)
at org.apache.spark.sql.execution.datasources.parquet.ParquetOutputWriter.<init>(ParquetOutputWriter.scala:37)
at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anon$1.newInstance(ParquetFileFormat.scala:162)
at org.apache.spark.sql.execution.datasources.SingleDirectoryDataWriter.newOutputWriter(FileFormatDataWriter.scala:120)
at org.apache.spark.sql.execution.datasources.SingleDirectoryDataWriter.<init>(FileFormatDataWriter.scala:108)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:239)
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$1.apply(FileFormatWriter.scala:172)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.doRunTask(Task.scala:140)
at org.apache.spark.scheduler.Task.run(Task.scala:113)
at org.apache.spark.executor.Executor$TaskRunner$$anonfun$13.apply(Executor.scala:537)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1541)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:543)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: PUT, https://adlsname.dfs.core.windows.net/............./y/part-00136-360acd3f-6ae8-4e37-8dce-eb6b47bd0407-c000.snappy.parquet?resource=file&timeout=90
StatusCode=409
StatusDescription=The specified path already exists.
ErrorCode=PathAlreadyExists
ErrorMessage=The specified path already exists.
RequestId:24504b99-d01f-0094-639e-1500eb000000
Time:2021-03-10T11:10:42.1357194Z
at shaded.databricks.v20180920_b33d810.org.apache.hadoop.fs.azurebfs.services.AbfsRestOperation.execute(AbfsRestOperation.java:134)
at shaded.databricks.v20180920_b33d810.org.apache.hadoop.fs.azurebfs.services.AbfsClient.createPath(AbfsClient.java:243)
at shaded.databricks.v20180920_b33d810.org.apache.hadoop.fs.azurebfs.AzureBlobFileSystemStore.createFile(AzureBlobFileSystemStore.java:322)
at shaded.databricks.v20180920_b33d810.org.apache.hadoop.fs.azurebfs.AzureBlobFileSystem.create(AzureBlobFileSystem.java:220)
... 49 more
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:2362)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:2350)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:2349)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2349)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:1102)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:1102)
at scala.Option.foreach(Option.scala:257)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1102)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2582)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2529)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2517)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:897)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2282)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:170)
at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:192)
at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult$lzycompute(commands.scala:108)
at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:106)
at org.apache.spark.sql.execution.command.DataWritingCommandExec.doExecute(commands.scala:126)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:152)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:140)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$5.apply(SparkPlan.scala:193)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:189)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:140)
at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:117)
at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:115)
at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:711)
at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:711)
at org.apache.spark.sql.execution.SQLExecution$$anonfun$withCustomExecutionEnv$1.apply(SQLExecution.scala:113)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:243)
at org.apache.spark.sql.execution.SQLExecution$.withCustomExecutionEnv(SQLExecution.scala:99)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:173)
at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:711)
at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:307)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:293)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:235)
at org.apache.spark.sql.DataFrameWriter.parquet(DataFrameWriter.scala:601)
at lined41e33c74e694199a189dffb81fc63f246.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(command-1978144014673122:26)
at lined41e33c74e694199a189dffb81fc63f246.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(command-1978144014673122:176)
at lined41e33c74e694199a189dffb81fc63f246.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(command-1978144014673122:178)
at lined41e33c74e694199a189dffb81fc63f246.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(command-1978144014673122:180)
at lined41e33c74e694199a189dffb81fc63f246.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(command-1978144014673122:182)
at lined41e33c74e694199a189dffb81fc63f246.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(command-1978144014673122:184)
at lined41e33c74e694199a189dffb81fc63f246.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(command-1978144014673122:186)
at lined41e33c74e694199a189dffb81fc63f246.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(command-1978144014673122:188)
at lined41e33c74e694199a189dffb81fc63f246.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(command-1978144014673122:190)
at lined41e33c74e694199a189dffb81fc63f246.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(command-1978144014673122:192)
at lined41e33c74e694199a189dffb81fc63f246.$read$$iw$$iw$$iw$$iw$$iw$$iw.<init>(command-1978144014673122:194)
at lined41e33c74e694199a189dffb81fc63f246.$read$$iw$$iw$$iw$$iw$$iw.<init>(command-1978144014673122:196)
at lined41e33c74e694199a189dffb81fc63f246.$read$$iw$$iw$$iw$$iw.<init>(command-1978144014673122:198)
at lined41e33c74e694199a189dffb81fc63f246.$read$$iw$$iw$$iw.<init>(command-1978144014673122:200)
at lined41e33c74e694199a189dffb81fc63f246.$read$$iw$$iw.<init>(command-1978144014673122:202)
at lined41e33c74e694199a189dffb81fc63f246.$read$$iw.<init>(command-1978144014673122:204)
at lined41e33c74e694199a189dffb81fc63f246.$read.<init>(command-1978144014673122:206)
at lined41e33c74e694199a189dffb81fc63f246.$read$.<init>(command-1978144014673122:210)
at lined41e33c74e694199a189dffb81fc63f246.$read$.<clinit>(command-1978144014673122)
at lined41e33c74e694199a189dffb81fc63f246.$eval$.$print$lzycompute(<notebook>:7)
at lined41e33c74e694199a189dffb81fc63f246.$eval$.$print(<notebook>:6)
at lined41e33c74e694199a189dffb81fc63f246.$eval.$print(<notebook>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at scala.tools.nsc.interpreter.IMain$ReadEvalPrint.call(IMain.scala:793)
at scala.tools.nsc.interpreter.IMain$Request.loadAndRun(IMain.scala:1054)
at scala.tools.nsc.interpreter.IMain$WrappedRequest$$anonfun$loadAndRunReq$1.apply(IMain.scala:645)
at scala.tools.nsc.interpreter.IMain$WrappedRequest$$anonfun$loadAndRunReq$1.apply(IMain.scala:644)
at scala.reflect.internal.util.ScalaClassLoader$class.asContext(ScalaClassLoader.scala:31)
at scala.reflect.internal.util.AbstractFileClassLoader.asContext(AbstractFileClassLoader.scala:19)
at scala.tools.nsc.interpreter.IMain$WrappedRequest.loadAndRunReq(IMain.scala:644)
at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:576)
at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:572)
at com.databricks.backend.daemon.driver.DriverILoop.execute(DriverILoop.scala:215)
at com.databricks.backend.daemon.driver.ScalaDriverLocal$$anonfun$repl$1.apply$mcV$sp(ScalaDriverLocal.scala:202)
at com.databricks.backend.daemon.driver.ScalaDriverLocal$$anonfun$repl$1.apply(ScalaDriverLocal.scala:202)
at com.databricks.backend.daemon.driver.ScalaDriverLocal$$anonfun$repl$1.apply(ScalaDriverLocal.scala:202)
at com.databricks.backend.daemon.driver.DriverLocal$TrapExitInternal$.trapExit(DriverLocal.scala:714)
at com.databricks.backend.daemon.driver.DriverLocal$TrapExit$.apply(DriverLocal.scala:667)
at com.databricks.backend.daemon.driver.ScalaDriverLocal.repl(ScalaDriverLocal.scala:202)
at com.databricks.backend.daemon.driver.DriverLocal$$anonfun$execute$9.apply(DriverLocal.scala:396)
at com.databricks.backend.daemon.driver.DriverLocal$$anonfun$execute$9.apply(DriverLocal.scala:373)
at com.databricks.logging.UsageLogging$$anonfun$withAttributionContext$1.apply(UsageLogging.scala:238)
at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
at com.databricks.logging.UsageLogging$class.withAttributionContext(UsageLogging.scala:233)
at com.databricks.backend.daemon.driver.DriverLocal.withAttributionContext(DriverLocal.scala:49)
at com.databricks.logging.UsageLogging$class.withAttributionTags(UsageLogging.scala:275)
at com.databricks.backend.daemon.driver.DriverLocal.withAttributionTags(DriverLocal.scala:49)
at com.databricks.backend.daemon.driver.DriverLocal.execute(DriverLocal.scala:373)
at com.databricks.backend.daemon.driver.DriverWrapper$$anonfun$tryExecutingCommand$2.apply(DriverWrapper.scala:644)
at com.databricks.backend.daemon.driver.DriverWrapper$$anonfun$tryExecutingCommand$2.apply(DriverWrapper.scala:644)
at scala.util.Try$.apply(Try.scala:192)
at com.databricks.backend.daemon.driver.DriverWrapper.tryExecutingCommand(DriverWrapper.scala:639)
at com.databricks.backend.daemon.driver.DriverWrapper.getCommandOutputAndError(DriverWrapper.scala:485)
at com.databricks.backend.daemon.driver.DriverWrapper.executeCommand(DriverWrapper.scala:597)
at com.databricks.backend.daemon.driver.DriverWrapper.runInnerLoop(DriverWrapper.scala:390)
at com.databricks.backend.daemon.driver.DriverWrapper.runInner(DriverWrapper.scala:337)
at com.databricks.backend.daemon.driver.DriverWrapper.run(DriverWrapper.scala:219)
at java.lang.Thread.run(Thread.java:748)

Related

Filling data from PySpark to PostgreSQL via JDBC does not work

I'm using a JDBC connector for the first time and trying to write a dataframe into a PostgreSQL database. I am strictly doing it according to:
How to use JDBC source to write and read data in (Py)Spark?
Driver is installed and code is specified:
postgres_url = "jdbc:postgresql://<IP_ADRESS>:<PORT>/postgres"
properties = {
"user": "user",
"password": "password",
"driver": "org.postgresql.Driver"
}
df.write.jdbc(url=postgres_url, table="newtable", mode = "overwrite", properties = properties)
After executing the code, I get this error:
py4j.protocol.Py4JJavaError: An error occurred while calling o110.jdbc.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 1 in stage 1.0 failed 4 times, most recent failure: Lost task 1.3 in stage 1.0 (TID 49, <SERVER>, executor 9): org.postgresql.util.PSQLException: The connection attempt failed.
at org.postgresql.core.v3.ConnectionFactoryImpl.openConnectionImpl(ConnectionFactoryImpl.java:331)
at org.postgresql.core.ConnectionFactory.openConnection(ConnectionFactory.java:49)
at org.postgresql.jdbc.PgConnection.<init>(PgConnection.java:223)
at org.postgresql.Driver.makeConnection(Driver.java:400)
at org.postgresql.Driver.connect(Driver.java:259)
at org.apache.spark.sql.execution.datasources.jdbc.DriverWrapper.connect(DriverWrapper.scala:45)
at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$createConnectionFactory$1.apply(JdbcUtils.scala:63)
at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$createConnectionFactory$1.apply(JdbcUtils.scala:54)
at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.savePartition(JdbcUtils.scala:610)
at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$saveTable$1.apply(JdbcUtils.scala:834)
at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$saveTable$1.apply(JdbcUtils.scala:834)
at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$28.apply(RDD.scala:935)
at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$28.apply(RDD.scala:935)
at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2101)
at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2101)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:121)
at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1405)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.net.SocketTimeoutException: connect timed out
at java.net.PlainSocketImpl.socketConnect(Native Method)
at java.net.AbstractPlainSocketImpl.doConnect(AbstractPlainSocketImpl.java:350)
at java.net.AbstractPlainSocketImpl.connectToAddress(AbstractPlainSocketImpl.java:206)
at java.net.AbstractPlainSocketImpl.connect(AbstractPlainSocketImpl.java:188)
at java.net.SocksSocketImpl.connect(SocksSocketImpl.java:392)
at java.net.Socket.connect(Socket.java:589)
at org.postgresql.core.PGStream.createSocket(PGStream.java:241)
at org.postgresql.core.PGStream.<init>(PGStream.java:98)
at org.postgresql.core.v3.ConnectionFactoryImpl.tryConnect(ConnectionFactoryImpl.java:109)
at org.postgresql.core.v3.ConnectionFactoryImpl.openConnectionImpl(ConnectionFactoryImpl.java:235)
... 22 more
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1889)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1877)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1876)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1876)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:926)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:926)
at scala.Option.foreach(Option.scala:257)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:926)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2110)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2059)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2048)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:737)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2061)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2082)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2101)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2126)
at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1.apply(RDD.scala:935)
at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1.apply(RDD.scala:933)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:363)
at org.apache.spark.rdd.RDD.foreachPartition(RDD.scala:933)
at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.saveTable(JdbcUtils.scala:834)
at org.apache.spark.sql.execution.datasources.jdbc.JdbcRelationProvider.createRelation(JdbcRelationProvider.scala:82)
at org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:45)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:86)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:80)
at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:80)
at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:676)
at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:676)
at org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:78)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:125)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:73)
at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:676)
at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:285)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:271)
at org.apache.spark.sql.DataFrameWriter.jdbc(DataFrameWriter.scala:515)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:282)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:238)
at java.lang.Thread.run(Thread.java:748)
Caused by: org.postgresql.util.PSQLException: The connection attempt failed.
at org.postgresql.core.v3.ConnectionFactoryImpl.openConnectionImpl(ConnectionFactoryImpl.java:331)
at org.postgresql.core.ConnectionFactory.openConnection(ConnectionFactory.java:49)
at org.postgresql.jdbc.PgConnection.<init>(PgConnection.java:223)
at org.postgresql.Driver.makeConnection(Driver.java:400)
at org.postgresql.Driver.connect(Driver.java:259)
at org.apache.spark.sql.execution.datasources.jdbc.DriverWrapper.connect(DriverWrapper.scala:45)
at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$createConnectionFactory$1.apply(JdbcUtils.scala:63)
at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$createConnectionFactory$1.apply(JdbcUtils.scala:54)
at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.savePartition(JdbcUtils.scala:610)
at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$saveTable$1.apply(JdbcUtils.scala:834)
at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$saveTable$1.apply(JdbcUtils.scala:834)
at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$28.apply(RDD.scala:935)
at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$28.apply(RDD.scala:935)
at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2101)
at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2101)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:121)
at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1405)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
... 1 more
Caused by: java.net.SocketTimeoutException: connect timed out
at java.net.PlainSocketImpl.socketConnect(Native Method)
at java.net.AbstractPlainSocketImpl.doConnect(AbstractPlainSocketImpl.java:350)
at java.net.AbstractPlainSocketImpl.connectToAddress(AbstractPlainSocketImpl.java:206)
at java.net.AbstractPlainSocketImpl.connect(AbstractPlainSocketImpl.java:188)
at java.net.SocksSocketImpl.connect(SocksSocketImpl.java:392)
at java.net.Socket.connect(Socket.java:589)
at org.postgresql.core.PGStream.createSocket(PGStream.java:241)
at org.postgresql.core.PGStream.<init>(PGStream.java:98)
at org.postgresql.core.v3.ConnectionFactoryImpl.tryConnect(ConnectionFactoryImpl.java:109)
at org.postgresql.core.v3.ConnectionFactoryImpl.openConnectionImpl(ConnectionFactoryImpl.java:235)
... 22 more
The weird thing is, when I look afterwards into the PostgreSQL, I can see the newly created table, but it is empty. So it seems that installing the connection and creating the structure DOES work, but filling in the data does not. I also tried "ssl" = "false" in the properties, but did not work either. Any suggestions would be greatly appreciated.
Best regards

The connection should be opened between your driver and Postgres AND between your workers and Postgres. Did you check that? The creation of the table is probably done on the driver's side. But then, your workers cannot connect to your DB, therefore, no data. Check that!
You probably have someone in your company who can help you with that. Either, some security/network guy. Otherwise, you need to connect on each driver and test the connectivity to your DB

OutOfMemoryError when using a Spark UDF to extract tar.gz

Based on the code in the link https://alexwlchan.net/2019/09/unpacking-compressed-archives-in-scala/ I have a UDF in scala to extract tar.gz files (of size 6GB) which contain upto 1000 json documents
val udfExtract = udf((data: Array[Byte]) => Unpacker(data) : Map[String,String])
The UDF returns a map of key (json file name) and value (actual json content) pairs i.e upto 1000 pairs for each tar.gz file
Binary File Schema
val binaryFileSchema = StructType( Array(
StructField( "path", StringType, true),
StructField( "modificationTime", TimestampType, true),
StructField( "length", LongType, true),
StructField( "content", BinaryType,true)))
Load Data where the input path contains 24 tar.gz files
val binaryDF = spark.read
.format("binaryFile").option("pathGlobFilter", "*.tar.gz")
.schema( binaryFileSchema)
.load(input_path)
Extract content using UDF and apply a pre defined schema to parse the extracted content
val parseDF = binaryDF.withColumn("extracted_content", udfExtract($"content"))
.withColumn("file_path", $"path")
.select($"file_path",explode($"extracted_content")).toDF("file_path", "key", "value")
.withColumn("my_json", from_json($"value", MySchema))
.persist()
Write to Table
parseDF.select($"my_json")
.write.format("delta").mode("append")
.saveAsTable("default.raw_data")
When executing the code I get OutOfMemoryError: Java heap space
I feel this OOM error maybe because of using the above UDF to extract the huge compressed files (50GB after uncomperssion) or is maybe related to garbage collection. How can I resolve this?
Below is the stacktrace
Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 7 in stage 2.0 failed 4 times, most recent failure: Lost task 7.3 in stage 2.0 (TID 59, 10.24.48.68, executor 1): com.databricks.sql.io.FileReadException: Error while reading file dbfs:/mnt/raw_data_1583107200.tar.gz.
at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1$$anon$2.logFileNameAndThrow(FileScanRDD.scala:331)
at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1$$anon$2.getNext(FileScanRDD.scala:310)
at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:73)
at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:397)
at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:250)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$13$$anon$1.hasNext(WholeStageCodegenExec.scala:640)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
at org.apache.spark.sql.execution.columnar.CachedRDDBuilder$$anonfun$3$$anon$1.hasNext(InMemoryRelation.scala:137)
at org.apache.spark.storage.memory.MemoryStore.putIterator(MemoryStore.scala:221)
at org.apache.spark.storage.memory.MemoryStore.putIteratorAsValues(MemoryStore.scala:299)
at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1235)
at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1226)
at org.apache.spark.storage.BlockManager.org$apache$spark$storage$BlockManager$$doPut(BlockManager.scala:1161)
at org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:1226)
at org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:1045)
at org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:364)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:315)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:353)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:317)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:353)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:317)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.doRunTask(Task.scala:140)
at org.apache.spark.scheduler.Task.run(Task.scala:113)
at org.apache.spark.executor.Executor$TaskRunner$$anonfun$13.apply(Executor.scala:537)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1541)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:543)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.OutOfMemoryError: Java heap space
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:2362)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:2350)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:2349)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2349)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:1102)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:1102)
at scala.Option.foreach(Option.scala:257)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1102)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2582)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2529)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2517)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:897)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2282)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:170)
at com.databricks.sql.transaction.tahoe.files.TransactionalWriteEdge$$anonfun$writeFiles$1$$anonfun$apply$1.apply(TransactionalWriteEdge.scala:160)
at com.databricks.sql.transaction.tahoe.files.TransactionalWriteEdge$$anonfun$writeFiles$1$$anonfun$apply$1.apply(TransactionalWriteEdge.scala:133)
at org.apache.spark.sql.execution.SQLExecution$$anonfun$withCustomExecutionEnv$1.apply(SQLExecution.scala:113)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:243)
at org.apache.spark.sql.execution.SQLExecution$.withCustomExecutionEnv(SQLExecution.scala:99)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:173)
at com.databricks.sql.transaction.tahoe.files.TransactionalWriteEdge$$anonfun$writeFiles$1.apply(TransactionalWriteEdge.scala:133)
at com.databricks.sql.transaction.tahoe.files.TransactionalWriteEdge$$anonfun$writeFiles$1.apply(TransactionalWriteEdge.scala:90)
at com.databricks.logging.UsageLogging$$anonfun$recordOperation$1.apply(UsageLogging.scala:428)
at com.databricks.logging.UsageLogging$$anonfun$withAttributionContext$1.apply(UsageLogging.scala:238)
at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
at com.databricks.logging.UsageLogging$class.withAttributionContext(UsageLogging.scala:233)
at com.databricks.spark.util.PublicDBLogging.withAttributionContext(DatabricksSparkUsageLogger.scala:18)
at com.databricks.logging.UsageLogging$class.withAttributionTags(UsageLogging.scala:275)
at com.databricks.spark.util.PublicDBLogging.withAttributionTags(DatabricksSparkUsageLogger.scala:18)
at com.databricks.logging.UsageLogging$class.recordOperation(UsageLogging.scala:409)
at com.databricks.spark.util.PublicDBLogging.recordOperation(DatabricksSparkUsageLogger.scala:18)
at com.databricks.spark.util.PublicDBLogging.recordOperation0(DatabricksSparkUsageLogger.scala:55)
at com.databricks.spark.util.DatabricksSparkUsageLogger.recordOperation(DatabricksSparkUsageLogger.scala:98)
at com.databricks.spark.util.UsageLogger$class.recordOperation(UsageLogger.scala:69)
at com.databricks.spark.util.DatabricksSparkUsageLogger.recordOperation(DatabricksSparkUsageLogger.scala:67)
at com.databricks.spark.util.UsageLogging$class.recordOperation(UsageLogger.scala:344)
at com.databricks.sql.transaction.tahoe.OptimisticTransaction.recordOperation(OptimisticTransaction.scala:82)
at com.databricks.sql.transaction.tahoe.metering.DeltaLogging$class.recordDeltaOperation(DeltaLogging.scala:108)
at com.databricks.sql.transaction.tahoe.OptimisticTransaction.recordDeltaOperation(OptimisticTransaction.scala:82)
at com.databricks.sql.transaction.tahoe.files.TransactionalWriteEdge$class.writeFiles(TransactionalWriteEdge.scala:90)
at com.databricks.sql.transaction.tahoe.OptimisticTransaction.writeFiles(OptimisticTransaction.scala:82)
at com.databricks.sql.transaction.tahoe.files.TransactionalWrite$class.writeFiles(TransactionalWrite.scala:110)
at com.databricks.sql.transaction.tahoe.OptimisticTransaction.writeFiles(OptimisticTransaction.scala:82)
at com.databricks.sql.transaction.tahoe.commands.WriteIntoDelta.write(WriteIntoDelta.scala:111)
at com.databricks.sql.transaction.tahoe.commands.CreateDeltaTableCommand$$anonfun$run$2.apply(CreateDeltaTableCommand.scala:119)
at com.databricks.sql.transaction.tahoe.commands.CreateDeltaTableCommand$$anonfun$run$2.apply(CreateDeltaTableCommand.scala:93)
at com.databricks.logging.UsageLogging$$anonfun$recordOperation$1.apply(UsageLogging.scala:428)
at com.databricks.logging.UsageLogging$$anonfun$withAttributionContext$1.apply(UsageLogging.scala:238)
at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
at com.databricks.logging.UsageLogging$class.withAttributionContext(UsageLogging.scala:233)
at com.databricks.spark.util.PublicDBLogging.withAttributionContext(DatabricksSparkUsageLogger.scala:18)
at com.databricks.logging.UsageLogging$class.withAttributionTags(UsageLogging.scala:275)
at com.databricks.spark.util.PublicDBLogging.withAttributionTags(DatabricksSparkUsageLogger.scala:18)
at com.databricks.logging.UsageLogging$class.recordOperation(UsageLogging.scala:409)
at com.databricks.spark.util.PublicDBLogging.recordOperation(DatabricksSparkUsageLogger.scala:18)
at com.databricks.spark.util.PublicDBLogging.recordOperation0(DatabricksSparkUsageLogger.scala:55)
at com.databricks.spark.util.DatabricksSparkUsageLogger.recordOperation(DatabricksSparkUsageLogger.scala:98)
at com.databricks.spark.util.UsageLogger$class.recordOperation(UsageLogger.scala:69)
at com.databricks.spark.util.DatabricksSparkUsageLogger.recordOperation(DatabricksSparkUsageLogger.scala:67)
at com.databricks.spark.util.UsageLogging$class.recordOperation(UsageLogger.scala:344)
at com.databricks.sql.transaction.tahoe.commands.CreateDeltaTableCommand.recordOperation(CreateDeltaTableCommand.scala:45)
at com.databricks.sql.transaction.tahoe.metering.DeltaLogging$class.recordDeltaOperation(DeltaLogging.scala:108)
at com.databricks.sql.transaction.tahoe.commands.CreateDeltaTableCommand.recordDeltaOperation(CreateDeltaTableCommand.scala:45)
at com.databricks.sql.transaction.tahoe.commands.CreateDeltaTableCommand.run(CreateDeltaTableCommand.scala:93)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:86)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:152)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:140)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$5.apply(SparkPlan.scala:193)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:189)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:140)
at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:117)
at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:115)
at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:711)
at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:711)
at org.apache.spark.sql.execution.SQLExecution$$anonfun$withCustomExecutionEnv$1.apply(SQLExecution.scala:113)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:243)
at org.apache.spark.sql.execution.SQLExecution$.withCustomExecutionEnv(SQLExecution.scala:99)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:173)
at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:711)
at org.apache.spark.sql.DataFrameWriter.createTable(DataFrameWriter.scala:509)
at org.apache.spark.sql.DataFrameWriter.saveAsTable(DataFrameWriter.scala:488)
at org.apache.spark.sql.DataFrameWriter.saveAsTable(DataFrameWriter.scala:431)
at line3f718bbfd7704a88872ddbd33faa7db546.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(command-392784447715347:4)
at line3f718bbfd7704a88872ddbd33faa7db546.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(command-392784447715347:63)
at line3f718bbfd7704a88872ddbd33faa7db546.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(command-392784447715347:65)
at line3f718bbfd7704a88872ddbd33faa7db546.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(command-392784447715347:67)
at line3f718bbfd7704a88872ddbd33faa7db546.$read$$iw$$iw$$iw$$iw$$iw$$iw.<init>(command-392784447715347:69)
at line3f718bbfd7704a88872ddbd33faa7db546.$read$$iw$$iw$$iw$$iw$$iw.<init>(command-392784447715347:71)
at line3f718bbfd7704a88872ddbd33faa7db546.$read$$iw$$iw$$iw$$iw.<init>(command-392784447715347:73)
at line3f718bbfd7704a88872ddbd33faa7db546.$read$$iw$$iw$$iw.<init>(command-392784447715347:75)
at line3f718bbfd7704a88872ddbd33faa7db546.$read$$iw$$iw.<init>(command-392784447715347:77)
at line3f718bbfd7704a88872ddbd33faa7db546.$read$$iw.<init>(command-392784447715347:79)
at line3f718bbfd7704a88872ddbd33faa7db546.$read.<init>(command-392784447715347:81)
at line3f718bbfd7704a88872ddbd33faa7db546.$read$.<init>(command-392784447715347:85)
at line3f718bbfd7704a88872ddbd33faa7db546.$read$.<clinit>(command-392784447715347)
at line3f718bbfd7704a88872ddbd33faa7db546.$eval$.$print$lzycompute(<notebook>:7)
at line3f718bbfd7704a88872ddbd33faa7db546.$eval$.$print(<notebook>:6)
at line3f718bbfd7704a88872ddbd33faa7db546.$eval.$print(<notebook>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at scala.tools.nsc.interpreter.IMain$ReadEvalPrint.call(IMain.scala:793)
at scala.tools.nsc.interpreter.IMain$Request.loadAndRun(IMain.scala:1054)
at scala.tools.nsc.interpreter.IMain$WrappedRequest$$anonfun$loadAndRunReq$1.apply(IMain.scala:645)
at scala.tools.nsc.interpreter.IMain$WrappedRequest$$anonfun$loadAndRunReq$1.apply(IMain.scala:644)
at scala.reflect.internal.util.ScalaClassLoader$class.asContext(ScalaClassLoader.scala:31)
at scala.reflect.internal.util.AbstractFileClassLoader.asContext(AbstractFileClassLoader.scala:19)
at scala.tools.nsc.interpreter.IMain$WrappedRequest.loadAndRunReq(IMain.scala:644)
at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:576)
at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:572)
at com.databricks.backend.daemon.driver.DriverILoop.execute(DriverILoop.scala:215)
at com.databricks.backend.daemon.driver.ScalaDriverLocal$$anonfun$repl$1.apply$mcV$sp(ScalaDriverLocal.scala:202)
at com.databricks.backend.daemon.driver.ScalaDriverLocal$$anonfun$repl$1.apply(ScalaDriverLocal.scala:202)
at com.databricks.backend.daemon.driver.ScalaDriverLocal$$anonfun$repl$1.apply(ScalaDriverLocal.scala:202)
at com.databricks.backend.daemon.driver.DriverLocal$TrapExitInternal$.trapExit(DriverLocal.scala:714)
at com.databricks.backend.daemon.driver.DriverLocal$TrapExit$.apply(DriverLocal.scala:667)
at com.databricks.backend.daemon.driver.ScalaDriverLocal.repl(ScalaDriverLocal.scala:202)
at com.databricks.backend.daemon.driver.DriverLocal$$anonfun$execute$9.apply(DriverLocal.scala:396)
at com.databricks.backend.daemon.driver.DriverLocal$$anonfun$execute$9.apply(DriverLocal.scala:373)
at com.databricks.logging.UsageLogging$$anonfun$withAttributionContext$1.apply(UsageLogging.scala:238)
at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
at com.databricks.logging.UsageLogging$class.withAttributionContext(UsageLogging.scala:233)
at com.databricks.backend.daemon.driver.DriverLocal.withAttributionContext(DriverLocal.scala:49)
at com.databricks.logging.UsageLogging$class.withAttributionTags(UsageLogging.scala:275)
at com.databricks.backend.daemon.driver.DriverLocal.withAttributionTags(DriverLocal.scala:49)
at com.databricks.backend.daemon.driver.DriverLocal.execute(DriverLocal.scala:373)
at com.databricks.backend.daemon.driver.DriverWrapper$$anonfun$tryExecutingCommand$2.apply(DriverWrapper.scala:644)
at com.databricks.backend.daemon.driver.DriverWrapper$$anonfun$tryExecutingCommand$2.apply(DriverWrapper.scala:644)
at scala.util.Try$.apply(Try.scala:192)
at com.databricks.backend.daemon.driver.DriverWrapper.tryExecutingCommand(DriverWrapper.scala:639)
at com.databricks.backend.daemon.driver.DriverWrapper.getCommandOutputAndError(DriverWrapper.scala:485)
at com.databricks.backend.daemon.driver.DriverWrapper.executeCommand(DriverWrapper.scala:597)
at com.databricks.backend.daemon.driver.DriverWrapper.runInnerLoop(DriverWrapper.scala:390)
at com.databricks.backend.daemon.driver.DriverWrapper.runInner(DriverWrapper.scala:337)
at com.databricks.backend.daemon.driver.DriverWrapper.run(DriverWrapper.scala:219)
at java.lang.Thread.run(Thread.java:748)
Caused by: com.databricks.sql.io.FileReadException: Error while reading file dbfs:/mnt/raw_data_1583107200.tar.gz.
at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1$$anon$2.logFileNameAndThrow(FileScanRDD.scala:331)
at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1$$anon$2.getNext(FileScanRDD.scala:310)
at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:73)
at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:397)
at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:250)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$13$$anon$1.hasNext(WholeStageCodegenExec.scala:640)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
at org.apache.spark.sql.execution.columnar.CachedRDDBuilder$$anonfun$3$$anon$1.hasNext(InMemoryRelation.scala:137)
at org.apache.spark.storage.memory.MemoryStore.putIterator(MemoryStore.scala:221)
at org.apache.spark.storage.memory.MemoryStore.putIteratorAsValues(MemoryStore.scala:299)
at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1235)
at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1226)
at org.apache.spark.storage.BlockManager.org$apache$spark$storage$BlockManager$$doPut(BlockManager.scala:1161)
at org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:1226)
at org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:1045)
at org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:364)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:315)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:353)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:317)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:353)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:317)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.doRunTask(Task.scala:140)
at org.apache.spark.scheduler.Task.run(Task.scala:113)
at org.apache.spark.executor.Executor$TaskRunner$$anonfun$13.apply(Executor.scala:537)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1541)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:543)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.OutOfMemoryError: Java heap space

java.net.SocketException: Connection reset error when calling Azure Maps service from Azure databricks

We have a resource group which contains Azure Databricks service and Azure Maps Account.
The goal is to call Azure Maps endpoints related to Geo coding. For some reason, I keep on receiving
java.net.SocketException: Connection reset
no matter the very same request executes successfully via Postman.
In order to prepare my HTTP request for Scala (the language that I use in my Databricks notebook) I use this library/package. So, the notebook content looks something like this:
val response: HttpResponse[String] = Http("https://atlas.microsoft.com/search/address/json?subscription-key=my_key&api-version=1.0&query=my_query_str")
.option(HttpOptions.connTimeout(10000)).asString
//.timeout(connTimeoutMs = 100000, readTimeoutMs = 500000).asString
response.code
and then, the detailed error looks like this:
java.net.SocketException: Connection reset
at java.net.SocketInputStream.read(SocketInputStream.java:210)
at java.net.SocketInputStream.read(SocketInputStream.java:141)
at sun.security.ssl.InputRecord.readFully(InputRecord.java:465)
at sun.security.ssl.InputRecord.read(InputRecord.java:503)
at sun.security.ssl.SSLSocketImpl.readRecord(SSLSocketImpl.java:975)
at sun.security.ssl.SSLSocketImpl.performInitialHandshake(SSLSocketImpl.java:1367)
at sun.security.ssl.SSLSocketImpl.startHandshake(SSLSocketImpl.java:1395)
at sun.security.ssl.SSLSocketImpl.startHandshake(SSLSocketImpl.java:1379)
at sun.net.www.protocol.https.HttpsClient.afterConnect(HttpsClient.java:559)
at sun.net.www.protocol.https.AbstractDelegateHttpsURLConnection.setNewClient(AbstractDelegateHttpsURLConnection.java:100)
at sun.net.www.protocol.https.AbstractDelegateHttpsURLConnection.setNewClient(AbstractDelegateHttpsURLConnection.java:80)
at sun.net.www.protocol.http.HttpURLConnection.writeRequests(HttpURLConnection.java:706)
at sun.net.www.protocol.http.HttpURLConnection.getInputStream0(HttpURLConnection.java:1591)
at sun.net.www.protocol.http.HttpURLConnection.access$200(HttpURLConnection.java:92)
at sun.net.www.protocol.http.HttpURLConnection$9.run(HttpURLConnection.java:1490)
at sun.net.www.protocol.http.HttpURLConnection$9.run(HttpURLConnection.java:1488)
at java.security.AccessController.doPrivileged(Native Method)
at java.security.AccessController.doPrivilegedWithCombiner(AccessController.java:784)
at sun.net.www.protocol.http.HttpURLConnection.getInputStream(HttpURLConnection.java:1487)
at java.net.HttpURLConnection.getResponseCode(HttpURLConnection.java:480)
at sun.net.www.protocol.https.HttpsURLConnectionImpl.getResponseCode(HttpsURLConnectionImpl.java:352)
at scalaj.http.HttpRequest.scalaj$http$HttpRequest$$doConnection(Http.scala:367)
at scalaj.http.HttpRequest.exec(Http.scala:343)
at scalaj.http.HttpRequest.asString(Http.scala:492)
at lined047365c6afd4053bf68147e840c60bb25.$read$$iw$$iw$$iw$$iw$$iw$$iw.<init>(command-3596544709550112:4)
at lined047365c6afd4053bf68147e840c60bb25.$read$$iw$$iw$$iw$$iw$$iw.<init>(command-3596544709550112:55)
at lined047365c6afd4053bf68147e840c60bb25.$read$$iw$$iw$$iw$$iw.<init>(command-3596544709550112:57)
at lined047365c6afd4053bf68147e840c60bb25.$read$$iw$$iw$$iw.<init>(command-3596544709550112:59)
at lined047365c6afd4053bf68147e840c60bb25.$read$$iw$$iw.<init>(command-3596544709550112:61)
at lined047365c6afd4053bf68147e840c60bb25.$read$$iw.<init>(command-3596544709550112:63)
at lined047365c6afd4053bf68147e840c60bb25.$read.<init>(command-3596544709550112:65)
at lined047365c6afd4053bf68147e840c60bb25.$read$.<init>(command-3596544709550112:69)
at lined047365c6afd4053bf68147e840c60bb25.$read$.<clinit>(command-3596544709550112)
at lined047365c6afd4053bf68147e840c60bb25.$eval$.$print$lzycompute(<notebook>:7)
at lined047365c6afd4053bf68147e840c60bb25.$eval$.$print(<notebook>:6)
at lined047365c6afd4053bf68147e840c60bb25.$eval.$print(<notebook>)
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 scala.tools.nsc.interpreter.IMain$ReadEvalPrint.call(IMain.scala:793)
at scala.tools.nsc.interpreter.IMain$Request.loadAndRun(IMain.scala:1054)
at scala.tools.nsc.interpreter.IMain$WrappedRequest$$anonfun$loadAndRunReq$1.apply(IMain.scala:645)
at scala.tools.nsc.interpreter.IMain$WrappedRequest$$anonfun$loadAndRunReq$1.apply(IMain.scala:644)
at scala.reflect.internal.util.ScalaClassLoader$class.asContext(ScalaClassLoader.scala:31)
at scala.reflect.internal.util.AbstractFileClassLoader.asContext(AbstractFileClassLoader.scala:19)
at scala.tools.nsc.interpreter.IMain$WrappedRequest.loadAndRunReq(IMain.scala:644)
at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:576)
at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:572)
at com.databricks.backend.daemon.driver.DriverILoop.execute(DriverILoop.scala:215)
at com.databricks.backend.daemon.driver.ScalaDriverLocal$$anonfun$repl$1.apply$mcV$sp(ScalaDriverLocal.scala:202)
at com.databricks.backend.daemon.driver.ScalaDriverLocal$$anonfun$repl$1.apply(ScalaDriverLocal.scala:202)
at com.databricks.backend.daemon.driver.ScalaDriverLocal$$anonfun$repl$1.apply(ScalaDriverLocal.scala:202)
at com.databricks.backend.daemon.driver.DriverLocal$TrapExitInternal$.trapExit(DriverLocal.scala:699)
at com.databricks.backend.daemon.driver.DriverLocal$TrapExit$.apply(DriverLocal.scala:652)
at com.databricks.backend.daemon.driver.ScalaDriverLocal.repl(ScalaDriverLocal.scala:202)
at com.databricks.backend.daemon.driver.DriverLocal$$anonfun$execute$9.apply(DriverLocal.scala:385)
at com.databricks.backend.daemon.driver.DriverLocal$$anonfun$execute$9.apply(DriverLocal.scala:362)
at com.databricks.logging.UsageLogging$$anonfun$withAttributionContext$1.apply(UsageLogging.scala:251)
at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
at com.databricks.logging.UsageLogging$class.withAttributionContext(UsageLogging.scala:246)
at com.databricks.backend.daemon.driver.DriverLocal.withAttributionContext(DriverLocal.scala:49)
at com.databricks.logging.UsageLogging$class.withAttributionTags(UsageLogging.scala:288)
at com.databricks.backend.daemon.driver.DriverLocal.withAttributionTags(DriverLocal.scala:49)
at com.databricks.backend.daemon.driver.DriverLocal.execute(DriverLocal.scala:362)
at com.databricks.backend.daemon.driver.DriverWrapper$$anonfun$tryExecutingCommand$2.apply(DriverWrapper.scala:644)
at com.databricks.backend.daemon.driver.DriverWrapper$$anonfun$tryExecutingCommand$2.apply(DriverWrapper.scala:644)
at scala.util.Try$.apply(Try.scala:192)
at com.databricks.backend.daemon.driver.DriverWrapper.tryExecutingCommand(DriverWrapper.scala:639)
at com.databricks.backend.daemon.driver.DriverWrapper.getCommandOutputAndError(DriverWrapper.scala:485)
at com.databricks.backend.daemon.driver.DriverWrapper.executeCommand(DriverWrapper.scala:597)
at com.databricks.backend.daemon.driver.DriverWrapper.runInnerLoop(DriverWrapper.scala:390)
at com.databricks.backend.daemon.driver.DriverWrapper.runInner(DriverWrapper.scala:337)
at com.databricks.backend.daemon.driver.DriverWrapper.run(DriverWrapper.scala:219)
at java.lang.Thread.run(Thread.java:748)
UPDATE: No matter if we have a valid shared key in the URL or not, the error is still the same:
https://atlas.microsoft.com/search/address/json?subscription-key=my_key&api-version=1.0&query=my_query_str

Pyspark csv write fails with coalesce(1), but runs with repartition(1)

I am trying to write a spark DF to a single csv file. Normally, I use this call which works:
df.coalesce(1).write.mode("overwrite").csv(file_path, sep=",", header=True)
BUT I have run into an instance where this errors out and I get the message "the file already exists". From the digging I've done this is a pyspark retry and the actual failure is in the logs. However, looking in the container logs I don't see anything that points to a reason for the failure. I have resolved this issue, but I am looking for an explanation of why this solves the problem. Running this command:
df.repartition(1).write.mode("overwrite").csv(file_path, sep=",", header=True)
will successfully save a single csv file to the specified path.
I have looked at difference between coalesce and repartition (it has to do with adding to existing partitions vs a full shuffle), but I don't understand how this solves the above issue.
EDIT, adding the full error message:
: org.apache.spark.SparkException: Job aborted.
at org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:196)
at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:159)
at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult$lzycompute(commands.scala:104)
at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:102)
at org.apache.spark.sql.execution.command.DataWritingCommandExec.doExecute(commands.scala:122)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:80)
at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:80)
at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:668)
at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:668)
at org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:78)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:125)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:73)
at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:668)
at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:276)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:270)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:228)
at org.apache.spark.sql.DataFrameWriter.csv(DataFrameWriter.scala:656)
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:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:282)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:238)
at java.lang.Thread.run(Thread.java:748)
Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 148.0 failed 4 times, most recent failure: Lost task 0.3 in stage 148.0 (TID 10599, ip-172-31-42-50.ec2.internal, executor 140): org.apache.hadoop.fs.FileAlreadyExistsException: File already exists:s3://<PATH>/part-00000-a7dc7464-838c-4fd6-962c-899bb58548dc-c000.csv
at com.amazon.ws.emr.hadoop.fs.s3.upload.plan.RegularUploadPlanner.checkExistenceIfNotOverwriting(RegularUploadPlanner.java:36)
at com.amazon.ws.emr.hadoop.fs.s3.upload.plan.RegularUploadPlanner.plan(RegularUploadPlanner.java:30)
at com.amazon.ws.emr.hadoop.fs.s3.upload.plan.UploadPlannerChain.plan(UploadPlannerChain.java:37)
at com.amazon.ws.emr.hadoop.fs.s3n.S3NativeFileSystem.create(S3NativeFileSystem.java:601)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:932)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:913)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:810)
at com.amazon.ws.emr.hadoop.fs.EmrFileSystem.create(EmrFileSystem.java:212)
at org.apache.spark.sql.execution.datasources.CodecStreams$.createOutputStream(CodecStreams.scala:81)
at org.apache.spark.sql.execution.datasources.CodecStreams$.createOutputStreamWriter(CodecStreams.scala:92)
at org.apache.spark.sql.execution.datasources.csv.CsvOutputWriter.<init>(CSVFileFormat.scala:177)
at org.apache.spark.sql.execution.datasources.csv.CSVFileFormat$$anon$1.newInstance(CSVFileFormat.scala:85)
at org.apache.spark.sql.execution.datasources.SingleDirectoryDataWriter.newOutputWriter(FileFormatDataWriter.scala:120)
at org.apache.spark.sql.execution.datasources.SingleDirectoryDataWriter.<init>(FileFormatDataWriter.scala:108)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:233)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:169)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:168)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:121)
at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:402)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:408)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:2039)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:2027)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:2026)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2026)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:966)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:966)
at scala.Option.foreach(Option.scala:257)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:966)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2260)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2209)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2198)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:777)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2061)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:166)
... 33 more
Caused by: org.apache.hadoop.fs.FileAlreadyExistsException: File already exists:s3://<PATH>/part-00000-a7dc7464-838c-4fd6-962c-899bb58548dc-c000.csv
at com.amazon.ws.emr.hadoop.fs.s3.upload.plan.RegularUploadPlanner.checkExistenceIfNotOverwriting(RegularUploadPlanner.java:36)
at com.amazon.ws.emr.hadoop.fs.s3.upload.plan.RegularUploadPlanner.plan(RegularUploadPlanner.java:30)
at com.amazon.ws.emr.hadoop.fs.s3.upload.plan.UploadPlannerChain.plan(UploadPlannerChain.java:37)
at com.amazon.ws.emr.hadoop.fs.s3n.S3NativeFileSystem.create(S3NativeFileSystem.java:601)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:932)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:913)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:810)
at com.amazon.ws.emr.hadoop.fs.EmrFileSystem.create(EmrFileSystem.java:212)
at org.apache.spark.sql.execution.datasources.CodecStreams$.createOutputStream(CodecStreams.scala:81)
at org.apache.spark.sql.execution.datasources.CodecStreams$.createOutputStreamWriter(CodecStreams.scala:92)
at org.apache.spark.sql.execution.datasources.csv.CsvOutputWriter.<init>(CSVFileFormat.scala:177)
at org.apache.spark.sql.execution.datasources.csv.CSVFileFormat$$anon$1.newInstance(CSVFileFormat.scala:85)
at org.apache.spark.sql.execution.datasources.SingleDirectoryDataWriter.newOutputWriter(FileFormatDataWriter.scala:120)
at org.apache.spark.sql.execution.datasources.SingleDirectoryDataWriter.<init>(FileFormatDataWriter.scala:108)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:233)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:169)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:168)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:121)
at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:402)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:408)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
... 1 more
Traceback (most recent call last):
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/sql/readwriter.py", line 929, in csv
self._jwrite.csv(path)
File "/usr/lib/spark/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py", line 1257, in __call__
answer, self.gateway_client, self.target_id, self.name)
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/sql/utils.py", line 63, in deco
return f(*a, **kw)
File "/usr/lib/spark/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py", line 328, in get_return_value
format(target_id, ".", name), value)
py4j.protocol.Py4JJavaError: An error occurred while calling o815.csv.
: org.apache.spark.SparkException: Job aborted.
at org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:196)
at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:159)
at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult$lzycompute(commands.scala:104)
at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:102)
at org.apache.spark.sql.execution.command.DataWritingCommandExec.doExecute(commands.scala:122)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:80)
at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:80)
at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:668)
at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:668)
at org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:78)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:125)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:73)
at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:668)
at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:276)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:270)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:228)
at org.apache.spark.sql.DataFrameWriter.csv(DataFrameWriter.scala:656)
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:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:282)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:238)
at java.lang.Thread.run(Thread.java:748)
Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 148.0 failed 4 times, most recent failure: Lost task 0.3 in stage 148.0 (TID 10599, ip-172-31-42-50.ec2.internal, executor 140): org.apache.hadoop.fs.FileAlreadyExistsException: File already exists:s3://<PATH>part-00000-a7dc7464-838c-4fd6-962c-899bb58548dc-c000.csv
at com.amazon.ws.emr.hadoop.fs.s3.upload.plan.RegularUploadPlanner.checkExistenceIfNotOverwriting(RegularUploadPlanner.java:36)
at com.amazon.ws.emr.hadoop.fs.s3.upload.plan.RegularUploadPlanner.plan(RegularUploadPlanner.java:30)
at com.amazon.ws.emr.hadoop.fs.s3.upload.plan.UploadPlannerChain.plan(UploadPlannerChain.java:37)
at com.amazon.ws.emr.hadoop.fs.s3n.S3NativeFileSystem.create(S3NativeFileSystem.java:601)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:932)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:913)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:810)
at com.amazon.ws.emr.hadoop.fs.EmrFileSystem.create(EmrFileSystem.java:212)
at org.apache.spark.sql.execution.datasources.CodecStreams$.createOutputStream(CodecStreams.scala:81)
at org.apache.spark.sql.execution.datasources.CodecStreams$.createOutputStreamWriter(CodecStreams.scala:92)
at org.apache.spark.sql.execution.datasources.csv.CsvOutputWriter.<init>(CSVFileFormat.scala:177)
at org.apache.spark.sql.execution.datasources.csv.CSVFileFormat$$anon$1.newInstance(CSVFileFormat.scala:85)
at org.apache.spark.sql.execution.datasources.SingleDirectoryDataWriter.newOutputWriter(FileFormatDataWriter.scala:120)
at org.apache.spark.sql.execution.datasources.SingleDirectoryDataWriter.<init>(FileFormatDataWriter.scala:108)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:233)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:169)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:168)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:121)
at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:402)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:408)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:2039)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:2027)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:2026)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2026)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:966)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:966)
at scala.Option.foreach(Option.scala:257)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:966)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2260)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2209)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2198)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:777)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2061)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:166)
... 33 more
Caused by: org.apache.hadoop.fs.FileAlreadyExistsException: File already exists:s3://<PATH>/part-00000-a7dc7464-838c-4fd6-962c-899bb58548dc-c000.csv
at com.amazon.ws.emr.hadoop.fs.s3.upload.plan.RegularUploadPlanner.checkExistenceIfNotOverwriting(RegularUploadPlanner.java:36)
at com.amazon.ws.emr.hadoop.fs.s3.upload.plan.RegularUploadPlanner.plan(RegularUploadPlanner.java:30)
at com.amazon.ws.emr.hadoop.fs.s3.upload.plan.UploadPlannerChain.plan(UploadPlannerChain.java:37)
at com.amazon.ws.emr.hadoop.fs.s3n.S3NativeFileSystem.create(S3NativeFileSystem.java:601)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:932)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:913)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:810)
at com.amazon.ws.emr.hadoop.fs.EmrFileSystem.create(EmrFileSystem.java:212)
at org.apache.spark.sql.execution.datasources.CodecStreams$.createOutputStream(CodecStreams.scala:81)
at org.apache.spark.sql.execution.datasources.CodecStreams$.createOutputStreamWriter(CodecStreams.scala:92)
at org.apache.spark.sql.execution.datasources.csv.CsvOutputWriter.<init>(CSVFileFormat.scala:177)
at org.apache.spark.sql.execution.datasources.csv.CSVFileFormat$$anon$1.newInstance(CSVFileFormat.scala:85)
at org.apache.spark.sql.execution.datasources.SingleDirectoryDataWriter.newOutputWriter(FileFormatDataWriter.scala:120)
at org.apache.spark.sql.execution.datasources.SingleDirectoryDataWriter.<init>(FileFormatDataWriter.scala:108)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:233)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:169)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:168)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:121)
at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:402)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:408)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
... 1 more```

AWS S3 : Spark - java.lang.IllegalArgumentException: URI is not absolute... while saving dataframe to s3 location as json

I am getting strange error while saving dataframe to AWS S3.
df.coalesce(1).write.mode(SaveMode.Overwrite)
.json(s"s3://myawsacc/results/")
In the same location I was able to insert the data from spark-shell .
and is working...
spark.sparkContext.parallelize(1 to 4).toDF.write.mode(SaveMode.Overwrite)
.format("com.databricks.spark.csv")
.save(s"s3://myawsacc/results/")
My question is why its working in spark-shell and is not working via
spark-submit ? Is there any logic/properties/configuration for this?
Exception in thread "main" java.lang.ExceptionInInitializerError
at com.amazon.ws.emr.hadoop.fs.s3n.S3Credentials.initialize(S3Credentials.java:45)
at com.amazon.ws.emr.hadoop.fs.HadoopConfigurationAWSCredentialsProvider.(HadoopConfigurationAWSCredentialsProvider.java:26)
at com.amazon.ws.emr.hadoop.fs.guice.DefaultAWSCredentialsProviderFactory.getAwsCredentialsProviderChain(DefaultAWSCredentialsProviderFactory.java:44)
at com.amazon.ws.emr.hadoop.fs.guice.DefaultAWSCredentialsProviderFactory.getAwsCredentialsProvider(DefaultAWSCredentialsProviderFactory.java:28)
at com.amazon.ws.emr.hadoop.fs.guice.EmrFSProdModule.getAwsCredentialsProvider(EmrFSProdModule.java:70)
at com.amazon.ws.emr.hadoop.fs.guice.EmrFSProdModule.createS3Configuration(EmrFSProdModule.java:86)
at com.amazon.ws.emr.hadoop.fs.guice.EmrFSProdModule.createAmazonS3LiteClient(EmrFSProdModule.java:80)
at com.amazon.ws.emr.hadoop.fs.guice.EmrFSProdModule.createAmazonS3Lite(EmrFSProdModule.java:120)
at com.amazon.ws.emr.hadoop.fs.guice.EmrFSBaseModule.provideAmazonS3Lite(EmrFSBaseModule.java:99)
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 com.amazon.ws.emr.hadoop.fs.shaded.com.google.inject.internal.ProviderMethod.get(ProviderMethod.java:104)
at com.amazon.ws.emr.hadoop.fs.shaded.com.google.inject.internal.InternalFactoryToProviderAdapter.get(InternalFactoryToProviderAdapter.java:40)
at com.amazon.ws.emr.hadoop.fs.shaded.com.google.inject.internal.ProviderToInternalFactoryAdapter$1.call(ProviderToInternalFactoryAdapter.java:46)
at com.amazon.ws.emr.hadoop.fs.shaded.com.google.inject.internal.InjectorImpl.callInContext(InjectorImpl.java:1031)
at com.amazon.ws.emr.hadoop.fs.shaded.com.google.inject.internal.ProviderToInternalFactoryAdapter.get(ProviderToInternalFactoryAdapter.java:40)
at com.amazon.ws.emr.hadoop.fs.shaded.com.google.inject.Scopes$1$1.get(Scopes.java:65)
at com.amazon.ws.emr.hadoop.fs.shaded.com.google.inject.internal.InternalFactoryToProviderAdapter.get(InternalFactoryToProviderAdapter.java:40)
at com.amazon.ws.emr.hadoop.fs.shaded.com.google.inject.internal.SingleFieldInjector.inject(SingleFieldInjector.java:53)
at com.amazon.ws.emr.hadoop.fs.shaded.com.google.inject.internal.MembersInjectorImpl.injectMembers(MembersInjectorImpl.java:110)
at com.amazon.ws.emr.hadoop.fs.shaded.com.google.inject.internal.ConstructorInjector.construct(ConstructorInjector.java:94)
at com.amazon.ws.emr.hadoop.fs.shaded.com.google.inject.internal.ConstructorBindingImpl$Factory.get(ConstructorBindingImpl.java:254)
at com.amazon.ws.emr.hadoop.fs.shaded.com.google.inject.internal.FactoryProxy.get(FactoryProxy.java:54)
at com.amazon.ws.emr.hadoop.fs.shaded.com.google.inject.internal.InjectorImpl$4$1.call(InjectorImpl.java:978)
at com.amazon.ws.emr.hadoop.fs.shaded.com.google.inject.internal.InjectorImpl.callInContext(InjectorImpl.java:1024)
at com.amazon.ws.emr.hadoop.fs.shaded.com.google.inject.internal.InjectorImpl$4.get(InjectorImpl.java:974)
at com.amazon.ws.emr.hadoop.fs.shaded.com.google.inject.internal.InjectorImpl.getInstance(InjectorImpl.java:1009)
at com.amazon.ws.emr.hadoop.fs.EmrFileSystem.initialize(EmrFileSystem.java:103)
at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2717)
at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:93)
at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2751)
at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2733)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:377)
at org.apache.hadoop.fs.Path.getFileSystem(Path.java:295)
at org.apache.spark.sql.execution.datasources.DataSource.writeInFileFormat(DataSource.scala:394)
at org.apache.spark.sql.execution.datasources.DataSource.write(DataSource.scala:471)
at org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:50)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$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$$anonfun$executeQuery$1.apply(SparkPlan.scala:138)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:135)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:116)
at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:92)
at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:92)
at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:609)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:233)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:217)
at org.apache.spark.sql.DataFrameWriter.json(DataFrameWriter.scala:487)
at com.org.ComparatorUtil$.writeLogNError(ComparatorUtil.scala:245)
at com.org.ComparatorUtil$.writeToJson(ComparatorUtil.scala:161)
at com.org.comparator.SnowFlakeTableComparator$.mainExecutor(SnowFlakeTableComparator.scala:98)
at com.org.executor.myclass$$anonfun$main$4$$anonfun$apply$1.apply(myclass.scala:232)
at com.org.executor.myclass$$anonfun$main$4$$anonfun$apply$1.apply(myclass.scala:153)
at scala.collection.Iterator$class.foreach(Iterator.scala:893)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
at com.org.executor.myclass$$anonfun$main$4.apply(myclass.scala:153)
at com.org.executor.myclass$$anonfun$main$4.apply(myclass.scala:134)
at scala.collection.immutable.List.foreach(List.scala:381)
at com.org.executor.myclass$.main(myclass.scala:134)
at com.org.executor.myclass.main(myclass.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:775)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:119)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.lang.IllegalArgumentException: URI is not absolute
at java.net.URI.toURL(URI.java:1088)
at org.apache.hadoop.fs.http.AbstractHttpFileSystem.open(AbstractHttpFileSystem.java:60)
at org.apache.hadoop.fs.http.HttpFileSystem.open(HttpFileSystem.java:23)
at org.apache.hadoop.fs.FileSystem.open(FileSystem.java:773)
at org.apache.hadoop.fs.FsUrlConnection.connect(FsUrlConnection.java:50)
at org.apache.hadoop.fs.FsUrlConnection.getInputStream(FsUrlConnection.java:59)
at java.net.URL.openStream(URL.java:1045)
at com.amazon.ws.emr.hadoop.fs.shaded.com.fasterxml.jackson.core.JsonFactory._optimizedStreamFromURL(JsonFactory.java:1479)
at com.amazon.ws.emr.hadoop.fs.shaded.com.fasterxml.jackson.core.JsonFactory.createParser(JsonFactory.java:779)
at com.amazon.ws.emr.hadoop.fs.shaded.com.fasterxml.jackson.databind.ObjectMapper.readValue(ObjectMapper.java:2679)
at com.amazon.ws.emr.hadoop.fs.util.PlatformInfo.getClusterIdFromConfigurationEndpoint(PlatformInfo.java:39)
at com.amazon.ws.emr.hadoop.fs.util.PlatformInfo.getJobFlowId(PlatformInfo.java:53)
at com.amazon.ws.emr.hadoop.fs.util.EmrFsUtils.getJobFlowId(EmrFsUtils.java:384)
at com.amazon.ws.emr.hadoop.fs.util.EmrFsUtils.(EmrFsUtils.java:60)
... 77 more

import java.net.URI
import spark.implicits._
spark.sparkContext.parallelize(1 to 4).toDF
.coalesce(1)
.write.mode(SaveMode.Overwrite)
.json(new URI("s3://myawsacc/results/").toString)
spark.sparkContext.parallelize(1 to 4).toDF
.coalesce(1)
.write.mode(SaveMode.Overwrite)
.json(URI.create("s3://myawsacc/results/").toString)
is working fine for me.
seems like spark-shell implcitly applying new URI or URI.create and hence its was working fine.

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