vingov commented on issue #4429:
URL: https://github.com/apache/hudi/issues/4429#issuecomment-1002881175
@YannByron - Thanks for the quick turnaround, I appreciate it!
@xushiyan - There are more errors with Spark 3.1.2 as well, see below:
```
spark-sql> create table h0_p using hudi partitioned by(dt)
> tblproperties(type = 'cow', primaryKey = 'id')
> as select cast('2021-05-07 00:00:00' as timestamp) as dt,
> 1 as id, 'a1' as name, 10 as price;
21/12/30 05:28:02 WARN DFSPropertiesConfiguration: Cannot find
HUDI_CONF_DIR, please set it as the dir of hudi-defaults.conf
21/12/30 05:28:02 WARN DFSPropertiesConfiguration: Properties file
file:/etc/hudi/conf/hudi-defaults.conf not found. Ignoring to load props file
21/12/30 05:28:07 WARN package: Truncated the string representation of a
plan since it was too large. This behavior can be adjusted by setting
'spark.sql.debug.maxToStringFields'.
21/12/30 05:28:14 ERROR Executor: Exception in task 0.0 in stage 3.0 (TID 3)
org.apache.spark.SparkException: Failed to execute user defined
function(UDFRegistration$$Lambda$3034/1190042877:
(struct<id:int,name:string,price:int,dt:timestamp>) => string)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.project_doConsume_0$(Unknown
Source)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
Source)
at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:755)
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:458)
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:458)
at
org.apache.spark.util.random.SamplingUtils$.reservoirSampleAndCount(SamplingUtils.scala:41)
at
org.apache.spark.RangePartitioner$.$anonfun$sketch$1(Partitioner.scala:306)
at
org.apache.spark.RangePartitioner$.$anonfun$sketch$1$adapted(Partitioner.scala:304)
at
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsWithIndex$2(RDD.scala:915)
at
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsWithIndex$2$adapted(RDD.scala:915)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:131)
at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:497)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1439)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:500)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.IllegalArgumentException: Invalid format:
"2021-05-07T00:00:00Z" is malformed at "T00:00:00Z"
at
org.joda.time.format.DateTimeParserBucket.doParseMillis(DateTimeParserBucket.java:187)
at
org.joda.time.format.DateTimeFormatter.parseMillis(DateTimeFormatter.java:826)
at
org.apache.spark.sql.hudi.command.SqlKeyGenerator.$anonfun$convertPartitionPathToSqlType$1(SqlKeyGenerator.scala:97)
at
scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:238)
at
scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:36)
at
scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:198)
at scala.collection.TraversableLike.map(TraversableLike.scala:238)
at scala.collection.TraversableLike.map$(TraversableLike.scala:231)
at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:198)
at
org.apache.spark.sql.hudi.command.SqlKeyGenerator.convertPartitionPathToSqlType(SqlKeyGenerator.scala:88)
at
org.apache.spark.sql.hudi.command.SqlKeyGenerator.getPartitionPath(SqlKeyGenerator.scala:118)
at
org.apache.spark.sql.UDFRegistration.$anonfun$register$352(UDFRegistration.scala:777)
... 22 more
21/12/30 05:28:14 WARN TaskSetManager: Lost task 0.0 in stage 3.0 (TID 3)
(1d19b4f5cd46 executor driver): org.apache.spark.SparkException: Failed to
execute user defined function(UDFRegistration$$Lambda$3034/1190042877:
(struct<id:int,name:string,price:int,dt:timestamp>) => string)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.project_doConsume_0$(Unknown
Source)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
Source)
at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:755)
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:458)
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:458)
at
org.apache.spark.util.random.SamplingUtils$.reservoirSampleAndCount(SamplingUtils.scala:41)
at
org.apache.spark.RangePartitioner$.$anonfun$sketch$1(Partitioner.scala:306)
at
org.apache.spark.RangePartitioner$.$anonfun$sketch$1$adapted(Partitioner.scala:304)
at
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsWithIndex$2(RDD.scala:915)
at
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsWithIndex$2$adapted(RDD.scala:915)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:131)
at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:497)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1439)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:500)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.IllegalArgumentException: Invalid format:
"2021-05-07T00:00:00Z" is malformed at "T00:00:00Z"
at
org.joda.time.format.DateTimeParserBucket.doParseMillis(DateTimeParserBucket.java:187)
at
org.joda.time.format.DateTimeFormatter.parseMillis(DateTimeFormatter.java:826)
at
org.apache.spark.sql.hudi.command.SqlKeyGenerator.$anonfun$convertPartitionPathToSqlType$1(SqlKeyGenerator.scala:97)
at
scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:238)
at
scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:36)
at
scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:198)
at scala.collection.TraversableLike.map(TraversableLike.scala:238)
at scala.collection.TraversableLike.map$(TraversableLike.scala:231)
at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:198)
at
org.apache.spark.sql.hudi.command.SqlKeyGenerator.convertPartitionPathToSqlType(SqlKeyGenerator.scala:88)
at
org.apache.spark.sql.hudi.command.SqlKeyGenerator.getPartitionPath(SqlKeyGenerator.scala:118)
at
org.apache.spark.sql.UDFRegistration.$anonfun$register$352(UDFRegistration.scala:777)
... 22 more
21/12/30 05:28:14 ERROR TaskSetManager: Task 0 in stage 3.0 failed 1 times;
aborting job
21/12/30 05:28:14 ERROR SparkSQLDriver: Failed in [create table h0_p using
hudi partitioned by(dt)
tblproperties(type = 'cow', primaryKey = 'id')
as select cast('2021-05-07 00:00:00' as timestamp) as dt,
1 as id, 'a1' as name, 10 as price]
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in
stage 3.0 failed 1 times, most recent failure: Lost task 0.0 in stage 3.0 (TID
3) (1d19b4f5cd46 executor driver): org.apache.spark.SparkException: Failed to
execute user defined function(UDFRegistration$$Lambda$3034/1190042877:
(struct<id:int,name:string,price:int,dt:timestamp>) => string)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.project_doConsume_0$(Unknown
Source)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
Source)
at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:755)
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:458)
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:458)
at
org.apache.spark.util.random.SamplingUtils$.reservoirSampleAndCount(SamplingUtils.scala:41)
at
org.apache.spark.RangePartitioner$.$anonfun$sketch$1(Partitioner.scala:306)
at
org.apache.spark.RangePartitioner$.$anonfun$sketch$1$adapted(Partitioner.scala:304)
at
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsWithIndex$2(RDD.scala:915)
at
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsWithIndex$2$adapted(RDD.scala:915)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:131)
at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:497)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1439)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:500)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.IllegalArgumentException: Invalid format:
"2021-05-07T00:00:00Z" is malformed at "T00:00:00Z"
at
org.joda.time.format.DateTimeParserBucket.doParseMillis(DateTimeParserBucket.java:187)
at
org.joda.time.format.DateTimeFormatter.parseMillis(DateTimeFormatter.java:826)
at
org.apache.spark.sql.hudi.command.SqlKeyGenerator.$anonfun$convertPartitionPathToSqlType$1(SqlKeyGenerator.scala:97)
at
scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:238)
at
scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:36)
at
scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:198)
at scala.collection.TraversableLike.map(TraversableLike.scala:238)
at scala.collection.TraversableLike.map$(TraversableLike.scala:231)
at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:198)
at
org.apache.spark.sql.hudi.command.SqlKeyGenerator.convertPartitionPathToSqlType(SqlKeyGenerator.scala:88)
at
org.apache.spark.sql.hudi.command.SqlKeyGenerator.getPartitionPath(SqlKeyGenerator.scala:118)
at
org.apache.spark.sql.UDFRegistration.$anonfun$register$352(UDFRegistration.scala:777)
... 22 more
Driver stacktrace:
at
org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2258)
at
org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2207)
at
org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2206)
at
scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
at
scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2206)
at
org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1079)
at
org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1079)
at scala.Option.foreach(Option.scala:407)
at
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1079)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2445)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2387)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2376)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at
org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:868)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2196)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2217)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2236)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2261)
at org.apache.spark.rdd.RDD.$anonfun$collect$1(RDD.scala:1030)
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:414)
at org.apache.spark.rdd.RDD.collect(RDD.scala:1029)
at org.apache.spark.RangePartitioner$.sketch(Partitioner.scala:304)
at org.apache.spark.RangePartitioner.<init>(Partitioner.scala:171)
at
org.apache.spark.sql.execution.exchange.ShuffleExchangeExec$.prepareShuffleDependency(ShuffleExchangeExec.scala:267)
at
org.apache.spark.sql.execution.exchange.ShuffleExchangeExec.shuffleDependency$lzycompute(ShuffleExchangeExec.scala:155)
at
org.apache.spark.sql.execution.exchange.ShuffleExchangeExec.shuffleDependency(ShuffleExchangeExec.scala:149)
at
org.apache.spark.sql.execution.exchange.ShuffleExchangeExec.$anonfun$doExecute$1(ShuffleExchangeExec.scala:166)
at
org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:52)
at
org.apache.spark.sql.execution.exchange.ShuffleExchangeExec.doExecute(ShuffleExchangeExec.scala:163)
at
org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:180)
at
org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:218)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:215)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:176)
at
org.apache.spark.sql.execution.InputAdapter.inputRDD(WholeStageCodegenExec.scala:525)
at
org.apache.spark.sql.execution.InputRDDCodegen.inputRDDs(WholeStageCodegenExec.scala:453)
at
org.apache.spark.sql.execution.InputRDDCodegen.inputRDDs$(WholeStageCodegenExec.scala:452)
at
org.apache.spark.sql.execution.InputAdapter.inputRDDs(WholeStageCodegenExec.scala:496)
at org.apache.spark.sql.execution.SortExec.inputRDDs(SortExec.scala:132)
at
org.apache.spark.sql.execution.WholeStageCodegenExec.doExecute(WholeStageCodegenExec.scala:746)
at
org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:180)
at
org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:218)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:215)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:176)
at
org.apache.spark.sql.execution.CoalesceExec.doExecute(basicPhysicalOperators.scala:698)
at
org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:180)
at
org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:218)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:215)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:176)
at
org.apache.spark.sql.execution.datasources.v2.V2TableWriteExec.writeWithV2(WriteToDataSourceV2Exec.scala:338)
at
org.apache.spark.sql.execution.datasources.v2.V2TableWriteExec.writeWithV2$(WriteToDataSourceV2Exec.scala:336)
at
org.apache.spark.sql.execution.datasources.v2.AppendDataExec.writeWithV2(WriteToDataSourceV2Exec.scala:218)
at
org.apache.spark.sql.execution.datasources.v2.AppendDataExec.run(WriteToDataSourceV2Exec.scala:225)
at
org.apache.spark.sql.execution.datasources.v2.V2CommandExec.result$lzycompute(V2CommandExec.scala:40)
at
org.apache.spark.sql.execution.datasources.v2.V2CommandExec.result(V2CommandExec.scala:40)
at
org.apache.spark.sql.execution.datasources.v2.V2CommandExec.doExecute(V2CommandExec.scala:55)
at
org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:180)
at
org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:218)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:215)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:176)
at
org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:132)
at
org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:131)
at
org.apache.spark.sql.DataFrameWriter.$anonfun$runCommand$1(DataFrameWriter.scala:989)
at
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103)
at
org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163)
at
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
at
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
at
org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:989)
at
org.apache.spark.sql.DataFrameWriter.saveInternal(DataFrameWriter.scala:370)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:301)
at
org.apache.hudi.HoodieSparkSqlWriter$.bulkInsertAsRow(HoodieSparkSqlWriter.scala:480)
at
org.apache.hudi.HoodieSparkSqlWriter$.write(HoodieSparkSqlWriter.scala:162)
at
org.apache.spark.sql.hudi.command.InsertIntoHoodieTableCommand$.run(InsertIntoHoodieTableCommand.scala:110)
at
org.apache.spark.sql.hudi.command.CreateHoodieTableAsSelectCommand.run(CreateHoodieTableAsSelectCommand.scala:92)
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.executeCollect(commands.scala:120)
at
org.apache.spark.sql.Dataset.$anonfun$logicalPlan$1(Dataset.scala:228)
at
org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3687)
at
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103)
at
org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163)
at
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
at
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3685)
at org.apache.spark.sql.Dataset.<init>(Dataset.scala:228)
at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:99)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:96)
at
org.apache.spark.sql.SparkSession.$anonfun$sql$1(SparkSession.scala:618)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:613)
at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:650)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.run(SparkSQLDriver.scala:67)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:381)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.$anonfun$processLine$1(SparkSQLCLIDriver.scala:500)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.$anonfun$processLine$1$adapted(SparkSQLCLIDriver.scala:494)
at scala.collection.Iterator.foreach(Iterator.scala:941)
at scala.collection.Iterator.foreach$(Iterator.scala:941)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1429)
at scala.collection.IterableLike.foreach(IterableLike.scala:74)
at scala.collection.IterableLike.foreach$(IterableLike.scala:73)
at scala.collection.AbstractIterable.foreach(Iterable.scala:56)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processLine(SparkSQLCLIDriver.scala:494)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:284)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.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.JavaMainApplication.start(SparkApplication.scala:52)
at
org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:951)
at
org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:180)
at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:203)
at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90)
at
org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1039)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1048)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: org.apache.spark.SparkException: Failed to execute user defined
function(UDFRegistration$$Lambda$3034/1190042877:
(struct<id:int,name:string,price:int,dt:timestamp>) => string)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.project_doConsume_0$(Unknown
Source)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
Source)
at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:755)
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:458)
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:458)
at
org.apache.spark.util.random.SamplingUtils$.reservoirSampleAndCount(SamplingUtils.scala:41)
at
org.apache.spark.RangePartitioner$.$anonfun$sketch$1(Partitioner.scala:306)
at
org.apache.spark.RangePartitioner$.$anonfun$sketch$1$adapted(Partitioner.scala:304)
at
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsWithIndex$2(RDD.scala:915)
at
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsWithIndex$2$adapted(RDD.scala:915)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:131)
at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:497)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1439)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:500)
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.IllegalArgumentException: Invalid format:
"2021-05-07T00:00:00Z" is malformed at "T00:00:00Z"
at
org.joda.time.format.DateTimeParserBucket.doParseMillis(DateTimeParserBucket.java:187)
at
org.joda.time.format.DateTimeFormatter.parseMillis(DateTimeFormatter.java:826)
at
org.apache.spark.sql.hudi.command.SqlKeyGenerator.$anonfun$convertPartitionPathToSqlType$1(SqlKeyGenerator.scala:97)
at
scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:238)
at
scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:36)
at
scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:198)
at scala.collection.TraversableLike.map(TraversableLike.scala:238)
at scala.collection.TraversableLike.map$(TraversableLike.scala:231)
at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:198)
at
org.apache.spark.sql.hudi.command.SqlKeyGenerator.convertPartitionPathToSqlType(SqlKeyGenerator.scala:88)
at
org.apache.spark.sql.hudi.command.SqlKeyGenerator.getPartitionPath(SqlKeyGenerator.scala:118)
at
org.apache.spark.sql.UDFRegistration.$anonfun$register$352(UDFRegistration.scala:777)
... 22 more
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in
stage 3.0 failed 1 times, most recent failure: Lost task 0.0 in stage 3.0 (TID
3) (1d19b4f5cd46 executor driver): org.apache.spark.SparkException: Failed to
execute user defined function(UDFRegistration$$Lambda$3034/1190042877:
(struct<id:int,name:string,price:int,dt:timestamp>) => string)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.project_doConsume_0$(Unknown
Source)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
Source)
at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:755)
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:458)
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:458)
at
org.apache.spark.util.random.SamplingUtils$.reservoirSampleAndCount(SamplingUtils.scala:41)
at
org.apache.spark.RangePartitioner$.$anonfun$sketch$1(Partitioner.scala:306)
at
org.apache.spark.RangePartitioner$.$anonfun$sketch$1$adapted(Partitioner.scala:304)
at
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsWithIndex$2(RDD.scala:915)
at
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsWithIndex$2$adapted(RDD.scala:915)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:131)
at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:497)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1439)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:500)
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.IllegalArgumentException: Invalid format:
"2021-05-07T00:00:00Z" is malformed at "T00:00:00Z"
at
org.joda.time.format.DateTimeParserBucket.doParseMillis(DateTimeParserBucket.java:187)
at
org.joda.time.format.DateTimeFormatter.parseMillis(DateTimeFormatter.java:826)
at
org.apache.spark.sql.hudi.command.SqlKeyGenerator.$anonfun$convertPartitionPathToSqlType$1(SqlKeyGenerator.scala:97)
at
scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:238)
at
scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:36)
at
scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:198)
at scala.collection.TraversableLike.map(TraversableLike.scala:238)
at scala.collection.TraversableLike.map$(TraversableLike.scala:231)
at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:198)
at
org.apache.spark.sql.hudi.command.SqlKeyGenerator.convertPartitionPathToSqlType(SqlKeyGenerator.scala:88)
at
org.apache.spark.sql.hudi.command.SqlKeyGenerator.getPartitionPath(SqlKeyGenerator.scala:118)
at
org.apache.spark.sql.UDFRegistration.$anonfun$register$352(UDFRegistration.scala:777)
... 22 more
```
another error with 0.10.0, but these statements are working with 0.9.0
version:
```
spark-sql> use analytics;
Time taken: 0.103 seconds
spark-sql> desc insert_overwrite_table;
_hoodie_commit_time string NULL
_hoodie_commit_seqno string NULL
_hoodie_record_key string NULL
_hoodie_partition_path string NULL
_hoodie_file_name string NULL
id string NULL
name string NULL
ts timestamp NULL
Time taken: 0.391 seconds, Fetched 8 row(s)
spark-sql> insert overwrite table analytics.insert_overwrite_table select
420 as id, 'vinoth' as name, current_timestamp() as ts;
21/12/30 05:39:11 WARN ClusteringUtils: No content found in requested file
for instant [==>20211230051859484__replacecommit__REQUESTED]
21/12/30 05:39:13 WARN ClusteringUtils: No content found in requested file
for instant [==>20211230051859484__replacecommit__REQUESTED]
21/12/30 05:39:14 WARN ClusteringUtils: No content found in requested file
for instant [==>20211230051859484__replacecommit__REQUESTED]
21/12/30 05:39:17 WARN ClusteringUtils: No content found in requested file
for instant [==>20211230053911855__replacecommit__REQUESTED]
21/12/30 05:39:17 WARN ClusteringUtils: No content found in requested file
for instant [==>20211230053911855__replacecommit__REQUESTED]
21/12/30 05:39:19 WARN BlockManager: Putting block rdd_31_0 failed due to
exception java.lang.ClassCastException: java.time.Instant cannot be cast to
java.sql.Timestamp.
21/12/30 05:39:19 WARN BlockManager: Block rdd_31_0 could not be removed as
it was not found on disk or in memory
21/12/30 05:39:19 ERROR Executor: Exception in task 0.0 in stage 6.0 (TID 6)
java.lang.ClassCastException: java.time.Instant cannot be cast to
java.sql.Timestamp
at
org.apache.hudi.AvroConversionHelper$.$anonfun$createConverterToAvro$8(AvroConversionHelper.scala:306)
at
org.apache.hudi.AvroConversionHelper$.$anonfun$createConverterToAvro$8$adapted(AvroConversionHelper.scala:306)
at scala.Option.map(Option.scala:230)
at
org.apache.hudi.AvroConversionHelper$.$anonfun$createConverterToAvro$7(AvroConversionHelper.scala:306)
at
org.apache.hudi.AvroConversionHelper$.$anonfun$createConverterToAvro$15(AvroConversionHelper.scala:364)
at
org.apache.hudi.HoodieSparkUtils$.$anonfun$createRddInternal$3(HoodieSparkUtils.scala:157)
at scala.collection.Iterator$$anon$10.next(Iterator.scala:459)
at scala.collection.Iterator$$anon$10.next(Iterator.scala:459)
at
org.apache.spark.storage.memory.MemoryStore.putIterator(MemoryStore.scala:222)
at
org.apache.spark.storage.memory.MemoryStore.putIteratorAsBytes(MemoryStore.scala:349)
at
org.apache.spark.storage.BlockManager.$anonfun$doPutIterator$1(BlockManager.scala:1440)
at
org.apache.spark.storage.BlockManager.org$apache$spark$storage$BlockManager$$doPut(BlockManager.scala:1350)
at
org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:1414)
at
org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:1237)
at org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:384)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:335)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at
org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52)
at org.apache.spark.scheduler.Task.run(Task.scala:131)
at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:497)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1439)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:500)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
21/12/30 05:39:19 WARN TaskSetManager: Lost task 0.0 in stage 6.0 (TID 6)
(1d19b4f5cd46 executor driver): java.lang.ClassCastException: java.time.Instant
cannot be cast to java.sql.Timestamp
at
org.apache.hudi.AvroConversionHelper$.$anonfun$createConverterToAvro$8(AvroConversionHelper.scala:306)
at
org.apache.hudi.AvroConversionHelper$.$anonfun$createConverterToAvro$8$adapted(AvroConversionHelper.scala:306)
at scala.Option.map(Option.scala:230)
at
org.apache.hudi.AvroConversionHelper$.$anonfun$createConverterToAvro$7(AvroConversionHelper.scala:306)
at
org.apache.hudi.AvroConversionHelper$.$anonfun$createConverterToAvro$15(AvroConversionHelper.scala:364)
at
org.apache.hudi.HoodieSparkUtils$.$anonfun$createRddInternal$3(HoodieSparkUtils.scala:157)
at scala.collection.Iterator$$anon$10.next(Iterator.scala:459)
at scala.collection.Iterator$$anon$10.next(Iterator.scala:459)
at
org.apache.spark.storage.memory.MemoryStore.putIterator(MemoryStore.scala:222)
at
org.apache.spark.storage.memory.MemoryStore.putIteratorAsBytes(MemoryStore.scala:349)
at
org.apache.spark.storage.BlockManager.$anonfun$doPutIterator$1(BlockManager.scala:1440)
at
org.apache.spark.storage.BlockManager.org$apache$spark$storage$BlockManager$$doPut(BlockManager.scala:1350)
at
org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:1414)
at
org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:1237)
at org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:384)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:335)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at
org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52)
at org.apache.spark.scheduler.Task.run(Task.scala:131)
at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:497)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1439)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:500)
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)
21/12/30 05:39:19 ERROR TaskSetManager: Task 0 in stage 6.0 failed 1 times;
aborting job
21/12/30 05:39:19 ERROR SparkSQLDriver: Failed in [insert overwrite table
analytics.insert_overwrite_table select 420 as id, 'vinoth' as name,
current_timestamp() as ts]
org.apache.hudi.exception.HoodieUpsertException: Failed to upsert for commit
time 20211230053911855
at
org.apache.hudi.table.action.commit.AbstractWriteHelper.write(AbstractWriteHelper.java:62)
at
org.apache.hudi.table.action.commit.SparkInsertOverwriteCommitActionExecutor.execute(SparkInsertOverwriteCommitActionExecutor.java:60)
at
org.apache.hudi.table.HoodieSparkCopyOnWriteTable.insertOverwriteTable(HoodieSparkCopyOnWriteTable.java:170)
at
org.apache.hudi.table.HoodieSparkCopyOnWriteTable.insertOverwriteTable(HoodieSparkCopyOnWriteTable.java:103)
at
org.apache.hudi.client.SparkRDDWriteClient.insertOverwriteTable(SparkRDDWriteClient.java:222)
at
org.apache.hudi.DataSourceUtils.doWriteOperation(DataSourceUtils.java:218)
at
org.apache.hudi.HoodieSparkSqlWriter$.write(HoodieSparkSqlWriter.scala:275)
at
org.apache.spark.sql.hudi.command.InsertIntoHoodieTableCommand$.run(InsertIntoHoodieTableCommand.scala:110)
at
org.apache.spark.sql.hudi.command.InsertIntoHoodieTableCommand.run(InsertIntoHoodieTableCommand.scala:63)
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.executeCollect(commands.scala:79)
at
org.apache.spark.sql.Dataset.$anonfun$logicalPlan$1(Dataset.scala:228)
at
org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3687)
at
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103)
at
org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163)
at
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
at
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3685)
at org.apache.spark.sql.Dataset.<init>(Dataset.scala:228)
at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:99)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:96)
at
org.apache.spark.sql.SparkSession.$anonfun$sql$1(SparkSession.scala:618)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:613)
at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:650)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.run(SparkSQLDriver.scala:67)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:381)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.$anonfun$processLine$1(SparkSQLCLIDriver.scala:500)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.$anonfun$processLine$1$adapted(SparkSQLCLIDriver.scala:494)
at scala.collection.Iterator.foreach(Iterator.scala:941)
at scala.collection.Iterator.foreach$(Iterator.scala:941)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1429)
at scala.collection.IterableLike.foreach(IterableLike.scala:74)
at scala.collection.IterableLike.foreach$(IterableLike.scala:73)
at scala.collection.AbstractIterable.foreach(Iterable.scala:56)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processLine(SparkSQLCLIDriver.scala:494)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:284)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.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.JavaMainApplication.start(SparkApplication.scala:52)
at
org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:951)
at
org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:180)
at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:203)
at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90)
at
org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1039)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1048)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: org.apache.spark.SparkException: Job aborted due to stage
failure: Task 0 in stage 6.0 failed 1 times, most recent failure: Lost task 0.0
in stage 6.0 (TID 6) (1d19b4f5cd46 executor driver):
java.lang.ClassCastException: java.time.Instant cannot be cast to
java.sql.Timestamp
at
org.apache.hudi.AvroConversionHelper$.$anonfun$createConverterToAvro$8(AvroConversionHelper.scala:306)
at
org.apache.hudi.AvroConversionHelper$.$anonfun$createConverterToAvro$8$adapted(AvroConversionHelper.scala:306)
at scala.Option.map(Option.scala:230)
at
org.apache.hudi.AvroConversionHelper$.$anonfun$createConverterToAvro$7(AvroConversionHelper.scala:306)
at
org.apache.hudi.AvroConversionHelper$.$anonfun$createConverterToAvro$15(AvroConversionHelper.scala:364)
at
org.apache.hudi.HoodieSparkUtils$.$anonfun$createRddInternal$3(HoodieSparkUtils.scala:157)
at scala.collection.Iterator$$anon$10.next(Iterator.scala:459)
at scala.collection.Iterator$$anon$10.next(Iterator.scala:459)
at
org.apache.spark.storage.memory.MemoryStore.putIterator(MemoryStore.scala:222)
at
org.apache.spark.storage.memory.MemoryStore.putIteratorAsBytes(MemoryStore.scala:349)
at
org.apache.spark.storage.BlockManager.$anonfun$doPutIterator$1(BlockManager.scala:1440)
at
org.apache.spark.storage.BlockManager.org$apache$spark$storage$BlockManager$$doPut(BlockManager.scala:1350)
at
org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:1414)
at
org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:1237)
at org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:384)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:335)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at
org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52)
at org.apache.spark.scheduler.Task.run(Task.scala:131)
at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:497)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1439)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:500)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Driver stacktrace:
at
org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2258)
at
org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2207)
at
org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2206)
at
scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
at
scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2206)
at
org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1079)
at
org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1079)
at scala.Option.foreach(Option.scala:407)
at
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1079)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2445)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2387)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2376)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at
org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:868)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2196)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2217)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2236)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2261)
at org.apache.spark.rdd.RDD.$anonfun$collect$1(RDD.scala:1030)
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:414)
at org.apache.spark.rdd.RDD.collect(RDD.scala:1029)
at
org.apache.spark.rdd.PairRDDFunctions.$anonfun$countByKey$1(PairRDDFunctions.scala:366)
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:414)
at
org.apache.spark.rdd.PairRDDFunctions.countByKey(PairRDDFunctions.scala:366)
at
org.apache.spark.api.java.JavaPairRDD.countByKey(JavaPairRDD.scala:314)
at
org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.buildProfile(BaseSparkCommitActionExecutor.java:191)
at
org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.execute(BaseSparkCommitActionExecutor.java:159)
at
org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.execute(BaseSparkCommitActionExecutor.java:82)
at
org.apache.hudi.table.action.commit.AbstractWriteHelper.write(AbstractWriteHelper.java:55)
... 52 more
Caused by: java.lang.ClassCastException: java.time.Instant cannot be cast to
java.sql.Timestamp
at
org.apache.hudi.AvroConversionHelper$.$anonfun$createConverterToAvro$8(AvroConversionHelper.scala:306)
at
org.apache.hudi.AvroConversionHelper$.$anonfun$createConverterToAvro$8$adapted(AvroConversionHelper.scala:306)
at scala.Option.map(Option.scala:230)
at
org.apache.hudi.AvroConversionHelper$.$anonfun$createConverterToAvro$7(AvroConversionHelper.scala:306)
at
org.apache.hudi.AvroConversionHelper$.$anonfun$createConverterToAvro$15(AvroConversionHelper.scala:364)
at
org.apache.hudi.HoodieSparkUtils$.$anonfun$createRddInternal$3(HoodieSparkUtils.scala:157)
at scala.collection.Iterator$$anon$10.next(Iterator.scala:459)
at scala.collection.Iterator$$anon$10.next(Iterator.scala:459)
at
org.apache.spark.storage.memory.MemoryStore.putIterator(MemoryStore.scala:222)
at
org.apache.spark.storage.memory.MemoryStore.putIteratorAsBytes(MemoryStore.scala:349)
at
org.apache.spark.storage.BlockManager.$anonfun$doPutIterator$1(BlockManager.scala:1440)
at
org.apache.spark.storage.BlockManager.org$apache$spark$storage$BlockManager$$doPut(BlockManager.scala:1350)
at
org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:1414)
at
org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:1237)
at org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:384)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:335)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at
org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52)
at org.apache.spark.scheduler.Task.run(Task.scala:131)
at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:497)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1439)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:500)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
org.apache.hudi.exception.HoodieUpsertException: Failed to upsert for commit
time 20211230053911855
at
org.apache.hudi.table.action.commit.AbstractWriteHelper.write(AbstractWriteHelper.java:62)
at
org.apache.hudi.table.action.commit.SparkInsertOverwriteCommitActionExecutor.execute(SparkInsertOverwriteCommitActionExecutor.java:60)
at
org.apache.hudi.table.HoodieSparkCopyOnWriteTable.insertOverwriteTable(HoodieSparkCopyOnWriteTable.java:170)
at
org.apache.hudi.table.HoodieSparkCopyOnWriteTable.insertOverwriteTable(HoodieSparkCopyOnWriteTable.java:103)
at
org.apache.hudi.client.SparkRDDWriteClient.insertOverwriteTable(SparkRDDWriteClient.java:222)
at
org.apache.hudi.DataSourceUtils.doWriteOperation(DataSourceUtils.java:218)
at
org.apache.hudi.HoodieSparkSqlWriter$.write(HoodieSparkSqlWriter.scala:275)
at
org.apache.spark.sql.hudi.command.InsertIntoHoodieTableCommand$.run(InsertIntoHoodieTableCommand.scala:110)
at
org.apache.spark.sql.hudi.command.InsertIntoHoodieTableCommand.run(InsertIntoHoodieTableCommand.scala:63)
at
org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70)
at
org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68)
at
org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:79)
at
org.apache.spark.sql.Dataset.$anonfun$logicalPlan$1(Dataset.scala:228)
at
org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3687)
at
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103)
at
org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163)
at
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
at
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3685)
at org.apache.spark.sql.Dataset.<init>(Dataset.scala:228)
at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:99)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:96)
at
org.apache.spark.sql.SparkSession.$anonfun$sql$1(SparkSession.scala:618)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:613)
at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:650)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.run(SparkSQLDriver.scala:67)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:381)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.$anonfun$processLine$1(SparkSQLCLIDriver.scala:500)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.$anonfun$processLine$1$adapted(SparkSQLCLIDriver.scala:494)
at scala.collection.Iterator.foreach(Iterator.scala:941)
at scala.collection.Iterator.foreach$(Iterator.scala:941)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1429)
at scala.collection.IterableLike.foreach(IterableLike.scala:74)
at scala.collection.IterableLike.foreach$(IterableLike.scala:73)
at scala.collection.AbstractIterable.foreach(Iterable.scala:56)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processLine(SparkSQLCLIDriver.scala:494)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:284)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at
org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
at
org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:951)
at
org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:180)
at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:203)
at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90)
at
org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1039)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1048)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: org.apache.spark.SparkException: Job aborted due to stage
failure: Task 0 in stage 6.0 failed 1 times, most recent failure: Lost task 0.0
in stage 6.0 (TID 6) (1d19b4f5cd46 executor driver):
java.lang.ClassCastException: java.time.Instant cannot be cast to
java.sql.Timestamp
at
org.apache.hudi.AvroConversionHelper$.$anonfun$createConverterToAvro$8(AvroConversionHelper.scala:306)
at
org.apache.hudi.AvroConversionHelper$.$anonfun$createConverterToAvro$8$adapted(AvroConversionHelper.scala:306)
at scala.Option.map(Option.scala:230)
at
org.apache.hudi.AvroConversionHelper$.$anonfun$createConverterToAvro$7(AvroConversionHelper.scala:306)
at
org.apache.hudi.AvroConversionHelper$.$anonfun$createConverterToAvro$15(AvroConversionHelper.scala:364)
at
org.apache.hudi.HoodieSparkUtils$.$anonfun$createRddInternal$3(HoodieSparkUtils.scala:157)
at scala.collection.Iterator$$anon$10.next(Iterator.scala:459)
at scala.collection.Iterator$$anon$10.next(Iterator.scala:459)
at
org.apache.spark.storage.memory.MemoryStore.putIterator(MemoryStore.scala:222)
at
org.apache.spark.storage.memory.MemoryStore.putIteratorAsBytes(MemoryStore.scala:349)
at
org.apache.spark.storage.BlockManager.$anonfun$doPutIterator$1(BlockManager.scala:1440)
at
org.apache.spark.storage.BlockManager.org$apache$spark$storage$BlockManager$$doPut(BlockManager.scala:1350)
at
org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:1414)
at
org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:1237)
at org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:384)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:335)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at
org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52)
at org.apache.spark.scheduler.Task.run(Task.scala:131)
at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:497)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1439)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:500)
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.failJobAndIndependentStages(DAGScheduler.scala:2258)
at
org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2207)
at
org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2206)
at
scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
at
scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2206)
at
org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1079)
at
org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1079)
at scala.Option.foreach(Option.scala:407)
at
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1079)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2445)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2387)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2376)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at
org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:868)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2196)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2217)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2236)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2261)
at org.apache.spark.rdd.RDD.$anonfun$collect$1(RDD.scala:1030)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:414)
at org.apache.spark.rdd.RDD.collect(RDD.scala:1029)
at
org.apache.spark.rdd.PairRDDFunctions.$anonfun$countByKey$1(PairRDDFunctions.scala:366)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:414)
at
org.apache.spark.rdd.PairRDDFunctions.countByKey(PairRDDFunctions.scala:366)
at
org.apache.spark.api.java.JavaPairRDD.countByKey(JavaPairRDD.scala:314)
at
org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.buildProfile(BaseSparkCommitActionExecutor.java:191)
at
org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.execute(BaseSparkCommitActionExecutor.java:159)
at
org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.execute(BaseSparkCommitActionExecutor.java:82)
at
org.apache.hudi.table.action.commit.AbstractWriteHelper.write(AbstractWriteHelper.java:55)
... 52 more
Caused by: java.lang.ClassCastException: java.time.Instant cannot be cast to
java.sql.Timestamp
at
org.apache.hudi.AvroConversionHelper$.$anonfun$createConverterToAvro$8(AvroConversionHelper.scala:306)
at
org.apache.hudi.AvroConversionHelper$.$anonfun$createConverterToAvro$8$adapted(AvroConversionHelper.scala:306)
at scala.Option.map(Option.scala:230)
at
org.apache.hudi.AvroConversionHelper$.$anonfun$createConverterToAvro$7(AvroConversionHelper.scala:306)
at
org.apache.hudi.AvroConversionHelper$.$anonfun$createConverterToAvro$15(AvroConversionHelper.scala:364)
at
org.apache.hudi.HoodieSparkUtils$.$anonfun$createRddInternal$3(HoodieSparkUtils.scala:157)
at scala.collection.Iterator$$anon$10.next(Iterator.scala:459)
at scala.collection.Iterator$$anon$10.next(Iterator.scala:459)
at
org.apache.spark.storage.memory.MemoryStore.putIterator(MemoryStore.scala:222)
at
org.apache.spark.storage.memory.MemoryStore.putIteratorAsBytes(MemoryStore.scala:349)
at
org.apache.spark.storage.BlockManager.$anonfun$doPutIterator$1(BlockManager.scala:1440)
at
org.apache.spark.storage.BlockManager.org$apache$spark$storage$BlockManager$$doPut(BlockManager.scala:1350)
at
org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:1414)
at
org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:1237)
at org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:384)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:335)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at
org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52)
at org.apache.spark.scheduler.Task.run(Task.scala:131)
at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:497)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1439)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:500)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
```
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