[ https://issues.apache.org/jira/browse/HUDI-1063?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17334773#comment-17334773 ]
sivabalan narayanan commented on HUDI-1063: ------------------------------------------- [~WaterKnight]: I could not reproduce the issue w/ latest master. things are working fine. Command I used to launch spark shell ``` /usr/lib/spark/bin/spark-shell --packages org.apache.spark:spark-avro_2.12:3.0.0 --conf 'spark.serializer=org.apache.spark.serializer.KryoSerializer' --jars /home/n_siva_b/hudi-spark3-bundle_2.12-0.9.0-SNAPSHOT.jar ``` [Link|https://gist.github.com/nsivabalan/03736cda20c10781957b83a89e2f6650] to gist for steps I tried out. > Save in Google Cloud Storage not working > ---------------------------------------- > > Key: HUDI-1063 > URL: https://issues.apache.org/jira/browse/HUDI-1063 > Project: Apache Hudi > Issue Type: Bug > Components: Spark Integration > Affects Versions: 0.9.0 > Reporter: David Lacalle Castillo > Priority: Critical > Labels: sev:critical, user-support-issues > Fix For: 0.9.0 > > > I added to spark submit the following properties: > {{--packages > org.apache.hudi:hudi-spark-bundle_2.11:0.5.3,org.apache.spark:spark-avro_2.11:2.4.4 > \ --conf 'spark.serializer=org.apache.spark.serializer.KryoSerializer'}} > Spark version 2.4.5 and Hadoop version 3.2.1 > > I am trying to save a Dataframe as follows in Google Cloud Storage as follows: > tableName = "forecasts" > basePath = "gs://hudi-datalake/" + tableName > hudi_options = { > 'hoodie.table.name': tableName, > 'hoodie.datasource.write.recordkey.field': 'uuid', > 'hoodie.datasource.write.partitionpath.field': 'partitionpath', > 'hoodie.datasource.write.table.name': tableName, > 'hoodie.datasource.write.operation': 'insert', > 'hoodie.datasource.write.precombine.field': 'ts', > 'hoodie.upsert.shuffle.parallelism': 2, > 'hoodie.insert.shuffle.parallelism': 2 > } > results = results.selectExpr( > "ds as date", > "store", > "item", > "y as sales", > "yhat as sales_predicted", > "yhat_upper as sales_predicted_upper", > "yhat_lower as sales_predicted_lower", > "training_date") > results.write.format("hudi"). \ > options(**hudi_options). \ > mode("overwrite"). \ > save(basePath) > I am getting the following error: > Py4JJavaError: An error occurred while calling o312.save. : > java.lang.NoSuchMethodError: > org.eclipse.jetty.server.session.SessionHandler.setHttpOnly(Z)V at > io.javalin.core.util.JettyServerUtil.defaultSessionHandler(JettyServerUtil.kt:50) > at io.javalin.Javalin.<init>(Javalin.java:94) at > io.javalin.Javalin.create(Javalin.java:107) at > org.apache.hudi.timeline.service.TimelineService.startService(TimelineService.java:102) > at > org.apache.hudi.client.embedded.EmbeddedTimelineService.startServer(EmbeddedTimelineService.java:74) > at > org.apache.hudi.client.AbstractHoodieClient.startEmbeddedServerView(AbstractHoodieClient.java:102) > at > org.apache.hudi.client.AbstractHoodieClient.<init>(AbstractHoodieClient.java:69) > at > org.apache.hudi.client.AbstractHoodieWriteClient.<init>(AbstractHoodieWriteClient.java:83) > at > org.apache.hudi.client.HoodieWriteClient.<init>(HoodieWriteClient.java:137) > at > org.apache.hudi.client.HoodieWriteClient.<init>(HoodieWriteClient.java:124) > at > org.apache.hudi.client.HoodieWriteClient.<init>(HoodieWriteClient.java:120) > at > org.apache.hudi.DataSourceUtils.createHoodieClient(DataSourceUtils.java:195) > at > org.apache.hudi.HoodieSparkSqlWriter$.write(HoodieSparkSqlWriter.scala:135) > at org.apache.hudi.DefaultSource.createRelation(DefaultSource.scala:108) at > org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:45) > at > org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$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$$anonfun$executeQuery$1.apply(SparkPlan.scala:155) > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) > at > org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152) at > org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127) at > org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:83) > at > org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:81) > at > org.apache.spark.sql.DataFrameWriter$$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$1.apply(SQLExecution.scala:80) > at > org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:127) > at > org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:75) > 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.save(DataFrameWriter.scala:229) 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) (<class 'py4j.protocol.Py4JJavaError'>, > Py4JJavaError('An error occurred while calling o312.save.\n', JavaObject > id=o313), <traceback object at 0x7f33e56e6048>) > > -- This message was sent by Atlassian Jira (v8.3.4#803005)