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https://issues.apache.org/jira/browse/HUDI-1063?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
sivabalan narayanan updated HUDI-1063:
--------------------------------------
Labels: sev:critical user-support-issues (was: user-support-issues)
> 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
> Reporter: David Lacalle Castillo
> Priority: Critical
> Labels: sev:critical, user-support-issues
> Fix For: 0.8.0
>
>
> 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>)
>
>
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