sunneebaby opened a new issue, #9073:
URL: https://github.com/apache/hudi/issues/9073
**_Tips before filing an issue_**
Spark-3.2 Insert Into Hudi Table UnsupportedOperationException: S3A streams
are not Syncable
**Describe the problem you faced**
I used hudi-0.12.3 （recompile with my hadoop cluster) ，
hudi-0.12-3
hadoop-3.1.1.3.1.4.0-315
hive-3.1.0.3.1.4.0-315
spark-3.2.2
flink-1.15.1
when i use spark-shell and spark-sql to insert into a hudi table，it can't
execute。But flink executed successfully.
Is some Configurition parameters to solve the problem? or it's a bug?
The error message is as follows：
java.lang.UnsupportedOperationException: S3A streams are not Syncable. See
HADOOP-17597.
at
org.apache.hadoop.fs.s3a.S3ABlockOutputStream.handleSyncableInvocation(S3ABlockOutputStream.java:656)
at
org.apache.hadoop.fs.s3a.S3ABlockOutputStream.hsync(S3ABlockOutputStream.java:649)
at
org.apache.hadoop.fs.FSDataOutputStream.hsync(FSDataOutputStream.java:145)
at
org.apache.hadoop.fs.FSDataOutputStream.hsync(FSDataOutputStream.java:145)
at
org.apache.hudi.common.table.log.HoodieLogFormatWriter.flush(HoodieLogFormatWriter.java:261)
at
org.apache.hudi.common.table.log.HoodieLogFormatWriter.appendBlocks(HoodieLogFormatWriter.java:194)
at
org.apache.hudi.common.table.log.HoodieLogFormatWriter.appendBlock(HoodieLogFormatWriter.java:135)
at
org.apache.hudi.metadata.HoodieBackedTableMetadataWriter.initializeFileGroups(HoodieBackedTableMetadataWriter.java:728)
at
org.apache.hudi.metadata.HoodieBackedTableMetadataWriter.initializeEnabledFileGroups(HoodieBackedTableMetadataWriter.java:683)
at
org.apache.hudi.metadata.HoodieBackedTableMetadataWriter.initializeFromFilesystem(HoodieBackedTableMetadataWriter.java:561)
at
org.apache.hudi.metadata.HoodieBackedTableMetadataWriter.initializeIfNeeded(HoodieBackedTableMetadataWriter.java:395)
at
org.apache.hudi.metadata.SparkHoodieBackedTableMetadataWriter.initialize(SparkHoodieBackedTableMetadataWriter.java:121)
at
org.apache.hudi.metadata.HoodieBackedTableMetadataWriter.<init>(HoodieBackedTableMetadataWriter.java:175)
at
org.apache.hudi.metadata.SparkHoodieBackedTableMetadataWriter.<init>(SparkHoodieBackedTableMetadataWriter.java:90)
at
org.apache.hudi.metadata.SparkHoodieBackedTableMetadataWriter.create(SparkHoodieBackedTableMetadataWriter.java:76)
at
org.apache.hudi.client.SparkRDDWriteClient.initializeMetadataTable(SparkRDDWriteClient.java:458)
at
org.apache.hudi.client.SparkRDDWriteClient.initMetadataTable(SparkRDDWriteClient.java:447)
at
org.apache.hudi.client.BaseHoodieWriteClient.doInitTable(BaseHoodieWriteClient.java:1458)
at
org.apache.hudi.client.BaseHoodieWriteClient.initTable(BaseHoodieWriteClient.java:1494)
at
org.apache.hudi.client.BaseHoodieWriteClient.initTable(BaseHoodieWriteClient.java:1524)
at
org.apache.hudi.client.SparkRDDWriteClient.upsert(SparkRDDWriteClient.java:161)
at
org.apache.hudi.DataSourceUtils.doWriteOperation(DataSourceUtils.java:206)
at
org.apache.hudi.HoodieSparkSqlWriter$.write(HoodieSparkSqlWriter.scala:340)
at org.apache.hudi.DefaultSource.createRelation(DefaultSource.scala:145)
at
org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:45)
at
org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:75)
at
org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:73)
at
org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:84)
at
org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:97)
at
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103)
at
org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163)
at
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
at
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
at
org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:97)
at
org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:93)
at
org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:481)
at
org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:82)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:481)
at
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:30)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning(AnalysisHelper.scala:267)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(AnalysisHelper.scala:263)
at
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:30)
at
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:30)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:457)
at
org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:93)
at
org.apache.spark.sql.execution.QueryExecution.commandExecuted$lzycompute(QueryExecution.scala:80)
at
org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:78)
at
org.apache.spark.sql.execution.QueryExecution.assertCommandExecuted(QueryExecution.scala:115)
at
org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:848)
at
org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:382)
at
org.apache.spark.sql.DataFrameWriter.saveInternal(DataFrameWriter.scala:355)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:239)
... 66 elided
**To Reproduce**
Steps to reproduce the behavior:
1.
2.
3.
4.
**Expected behavior**
A clear and concise description of what you expected to happen.
**Environment Description**
* Hudi version :
* Spark version :
* Hive version :
* Hadoop version :
* Storage (HDFS/S3/GCS..) :
* Running on Docker? (yes/no) :
**Additional context**
Add any other context about the problem here.
**Stacktrace**
```Add the stacktrace of the error.```
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