[jira] [Created] (FLINK-22685) Write data to hive table in batch mode throws FileNotFoundException.

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[jira] [Created] (FLINK-22685) Write data to hive table in batch mode throws FileNotFoundException.

Shang Yuanchun (Jira)
Moses created FLINK-22685:
-----------------------------

             Summary: Write data to hive table in batch mode throws FileNotFoundException.
                 Key: FLINK-22685
                 URL: https://issues.apache.org/jira/browse/FLINK-22685
             Project: Flink
          Issue Type: Bug
          Components: Connectors / Hive
         Environment: Flink Based on Flink 1.11.1.
            Reporter: Moses


h3. Scence
I wanna luanch a batch job to process hive table data and write the result to another table(*T1*), and my SQL statements is wriiten like below:
{code:sql}
-- use hive dialect
SET table.sql-dialect=hive;
-- insert into hive table
insert overwrite table T1
        partition (p_day_id,p_file_id)
select distinct ....
{code}
The job was success luanched, but it failed on *Sink* operator. On Flink UI page I saw all task state is `*FINISHED*`, but *the job failed and it restarted again*.
And I found exception information like below: (*The path was marksed*)
{code:}
java.lang.Exception: Failed to finalize execution on master
        at org.apache.flink.runtime.executiongraph.ExecutionGraph.vertexFinished(ExecutionGraph.java:1291)
        at org.apache.flink.runtime.executiongraph.ExecutionVertex.executionFinished(ExecutionVertex.java:870)
        at org.apache.flink.runtime.executiongraph.Execution.markFinished(Execution.java:1125)
        at org.apache.flink.runtime.executiongraph.ExecutionGraph.updateStateInternal(ExecutionGraph.java:1491)
        at org.apache.flink.runtime.executiongraph.ExecutionGraph.updateState(ExecutionGraph.java:1464)
        at org.apache.flink.runtime.scheduler.SchedulerBase.updateTaskExecutionState(SchedulerBase.java:497)
        at org.apache.flink.runtime.jobmaster.JobMaster.updateTaskExecutionState(JobMaster.java:386)
        at sun.reflect.GeneratedMethodAccessor35.invoke(Unknown Source)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:497)
        at org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcInvocation(AkkaRpcActor.java:284)
        at org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcMessage(AkkaRpcActor.java:199)
        at org.apache.flink.runtime.rpc.akka.FencedAkkaRpcActor.handleRpcMessage(FencedAkkaRpcActor.java:74)
        at org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleMessage(AkkaRpcActor.java:152)
        at akka.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:26)
        at akka.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:21)
        at scala.PartialFunction$class.applyOrElse(PartialFunction.scala:123)
        at akka.japi.pf.UnitCaseStatement.applyOrElse(CaseStatements.scala:21)
        at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:170)
        at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:171)
        at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:171)
        at akka.actor.Actor$class.aroundReceive(Actor.scala:517)
        at akka.actor.AbstractActor.aroundReceive(AbstractActor.scala:225)
        at akka.actor.ActorCell.receiveMessage(ActorCell.scala:592)
        at akka.actor.ActorCell.invoke(ActorCell.scala:561)
        at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:258)
        at akka.dispatch.Mailbox.run(Mailbox.scala:225)
        at akka.dispatch.Mailbox.exec(Mailbox.scala:235)
        at akka.dispatch.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
        at akka.dispatch.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
        at akka.dispatch.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
        at akka.dispatch.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
Caused by: org.apache.flink.table.api.TableException: Exception in finalizeGlobal
        at org.apache.flink.table.filesystem.FileSystemOutputFormat.finalizeGlobal(FileSystemOutputFormat.java:97)
        at org.apache.flink.runtime.jobgraph.InputOutputFormatVertex.finalizeOnMaster(InputOutputFormatVertex.java:132)
        at org.apache.flink.runtime.executiongraph.ExecutionGraph.vertexFinished(ExecutionGraph.java:1286)
        ... 31 more
Caused by: java.io.FileNotFoundException: File /XXXX/XX/XXX/.staging_1621244168369 does not exist.
        at org.apache.hadoop.hdfs.DistributedFileSystem.listStatusInternal(DistributedFileSystem.java:814)
        at org.apache.hadoop.hdfs.DistributedFileSystem.access$700(DistributedFileSystem.java:81)
        at org.apache.hadoop.hdfs.DistributedFileSystem$18.doCall(DistributedFileSystem.java:872)
        at org.apache.hadoop.hdfs.DistributedFileSystem$18.doCall(DistributedFileSystem.java:868)
        at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
        at org.apache.hadoop.hdfs.DistributedFileSystem.listStatus(DistributedFileSystem.java:868)
        at org.apache.hadoop.fs.FilterFileSystem.listStatus(FilterFileSystem.java:246)
        at org.apache.hadoop.fs.viewfs.ChRootedFileSystem.listStatus(ChRootedFileSystem.java:246)
        at org.apache.hadoop.fs.viewfs.ViewFileSystem.listStatus(ViewFileSystem.java:395)
        at org.apache.flink.hive.shaded.fs.hdfs.HadoopFileSystem.listStatus(HadoopFileSystem.java:169)
        at org.apache.flink.table.filesystem.PartitionTempFileManager.headCheckpoints(PartitionTempFileManager.java:140)
        at org.apache.flink.table.filesystem.FileSystemCommitter.commitUpToCheckpoint(FileSystemCommitter.java:98)
        at org.apache.flink.table.filesystem.FileSystemOutputFormat.finalizeGlobal(FileSystemOutputFormat.java:95)
        ... 33 more
{code}
h3. Assumption
According to the exception, I tracked the code and found that `.staging_` directory may not be create. Thus, I try to add the following codes to fix it:
In *org.apache.flink.table.filesystem.FileSystemOutputFormat*
{code:java}
@Override
        public void open(int taskNumber, int numTasks) throws IOException {
                try {
                        final FileSystem fs = fsFactory.create(tmpPath.toUri());
                        if (!fs.exists(tmpPath)) {
                                fs.mkdirs(tmpPath);
                        }
                        PartitionTempFileManager fileManager = new PartitionTempFileManager(
                                fsFactory, tmpPath, taskNumber, CHECKPOINT_ID, outputFileConfig);
                        PartitionWriter.Context<T> context = new PartitionWriter.Context<>(
                                parameters, formatFactory);
                        writer = PartitionWriterFactory.<T>get(
                                partitionColumns.length - staticPartitions.size() > 0,
                                dynamicGrouped,
                                staticPartitions).create(context, fileManager, computer);
                } catch (Exception e) {
                        throw new TableException("Exception in open", e);
                }
        }
{code}
I rebuilt flink and execute my statements, and *it really worked*.
Did I used Flink SQL Client *not correctly*? Or this is a *BUG*?

Alse I found the flowing codes in *org.apache.flink.connectors.hive.HiveTableSink* :
{code:java}
private String toStagingDir(String finalDir, Configuration conf) throws IOException {
        String res = finalDir;
        if (!finalDir.endsWith(Path.SEPARATOR)) {
            res += Path.SEPARATOR;
        }
        // TODO: may append something more meaningful than a timestamp, like query ID
        res += ".staging_" + System.currentTimeMillis();
        Path path = new Path(res);
        FileSystem fs = path.getFileSystem(conf);
        Preconditions.checkState(
                fs.exists(path) || fs.mkdirs(path), "Failed to create staging dir " + path);
        fs.deleteOnExit(path);
        return res;
    }
{code}
I guess the purpose of adding `fs.deleteOnExit(path)` is to clean up the dirty data (while client is shuting down).
So shall I keep my Flink Client alive to wait for the job finish?



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