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https://issues.apache.org/jira/browse/FLINK-12381?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16835474#comment-16835474
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Till Rohrmann edited comment on FLINK-12381 at 5/8/19 10:09 AM:
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I think the observed problem is caused by FLINK-10291. FLINK-10291 was needed
because the {{StandaloneJobClusterEntrypoin}} generates the {{JobGraph}} from
the user code which is stored within the container image. In order to resume
from existing checkpoints in case of a failover, it was needed to create the
{{JobGraph}} with a predictable {{JobID}}.
Due to this change, one either needs to configure a different
{{high-availability.cluster-id}} for different jobs/cluster or start the
{{StandaloneJobClusterEntrypoint}} with a different {{JobID}} via the
{{\-jid}}/{{--job-id}} (FLINK-11525) option when using HA. Otherwise it is not
possible to distinguish different clusters (in the context of the job mode it
is equivalent to a job).
Unfortunately, it also has implications for the checkpointing directory which
uses the {{JobID}} to distinguish different jobs. So at the moment I would
recommend to specify the {{JobID}} via the {{--job-id}} command line option
when starting the {{StandaloneJobClusterEntrypoint}}. Alternatively, you would
need to configure different checkpointing directories for different job
clusters.
was (Author: till.rohrmann):
I think the observed problem is caused by FLINK-10291. FLINK-10291 was needed
because the {{StandaloneJobClusterEntrypoin}} generates the {{JobGraph}} from
the user code which is stored within the container image. In order to resume
from existing checkpoints in case of a failover, it was needed to create the
{{JobGraph}} with a predictable {{JobID}}.
Due to this change, one either needs to configure a different
{{high-availability.cluster-id}} for different jobs/cluster or start the
{{StandaloneJobClusterEntrypoint}} with a different {{JobID}} via the
{{\-jid}}/{{--job-id}} (FLINK-11525) option when using HA. Otherwise it is not
possible to distinguish different clusters (in the context of the job mode it
is equivalent to a job).
Unfortunately, it also has implications for the checkpointing directory which
uses the {{JobID}} to distinguish different jobs. So at the moment I would
recommend to specify the {{JobID}} via the {{--job-id}} command line option
when starting the {{StandaloneJobClusterEntrypoin}}. Alternatively, you would
need to configure different checkpointing directories for different job
clusters.
> W/o HA, upon a full restart, checkpointing crashes
> --------------------------------------------------
>
> Key: FLINK-12381
> URL: https://issues.apache.org/jira/browse/FLINK-12381
> Project: Flink
> Issue Type: Bug
> Components: Runtime / Checkpointing, Runtime / Coordination
> Affects Versions: 1.8.0
> Environment: Same as FLINK-\{12379, 12377, 12376}
> Reporter: Henrik
> Priority: Major
>
> {code:java}
> Caused by: org.apache.hadoop.fs.FileAlreadyExistsException:
> 'gs://example_bucket/flink/checkpoints/00000000000000000000000000000000/chk-16/_metadata'
> already exists
> at
> com.google.cloud.hadoop.fs.gcs.GoogleHadoopOutputStream.createChannel(GoogleHadoopOutputStream.java:85)
> at
> com.google.cloud.hadoop.fs.gcs.GoogleHadoopOutputStream.<init>(GoogleHadoopOutputStream.java:74)
> at
> com.google.cloud.hadoop.fs.gcs.GoogleHadoopFileSystemBase.create(GoogleHadoopFileSystemBase.java:797)
> at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:929)
> at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:910)
> at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:807)
> at
> org.apache.flink.runtime.fs.hdfs.HadoopFileSystem.create(HadoopFileSystem.java:141)
> at
> org.apache.flink.runtime.fs.hdfs.HadoopFileSystem.create(HadoopFileSystem.java:37)
> at
> org.apache.flink.runtime.state.filesystem.FsCheckpointMetadataOutputStream.<init>(FsCheckpointMetadataOutputStream.java:65)
> at
> org.apache.flink.runtime.state.filesystem.FsCheckpointStorageLocation.createMetadataOutputStream(FsCheckpointStorageLocation.java:104)
> at
> org.apache.flink.runtime.checkpoint.PendingCheckpoint.finalizeCheckpoint(PendingCheckpoint.java:259)
> at
> org.apache.flink.runtime.checkpoint.CheckpointCoordinator.completePendingCheckpoint(CheckpointCoordinator.java:829)
> ... 8 more
> {code}
> Instead, it should either just overwrite the checkpoint or fail to start the
> job completely. Partial and undefined failure is not what should happen.
>
> Repro:
> # Set up a single purpose job cluster (which could use much better docs btw!)
> # Let it run with GCS checkpointing for a while with rocksdb/gs://example
> # Kill it
> # Start it
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