Anton Ippolitov created FLINK-32241:
---------------------------------------
Summary: UnsupportedFileSystemException when using the ABFS Hadoop
driver for checkpointing in Flink 1.17
Key: FLINK-32241
URL: https://issues.apache.org/jira/browse/FLINK-32241
Project: Flink
Issue Type: Bug
Components: Runtime / Checkpointing
Affects Versions: 1.17.1, 1.17.0
Environment: Flink 1.17.1
Hadoop 3.3.4
Flink Operator 1.4.0
Kubernetes 1.24
Reporter: Anton Ippolitov
https://issues.apache.org/jira/browse/HADOOP-18707 introduced a new
functionality in the ABFS Hadoop client which buffers data on local disk by
default.
It looks like this breaks with Flink 1.17 in a scenario where:
* ABFS is used for checkpointing
* JobManager HA is enabled
* First JobManager leader dies and a stand-by JobManager takes over
I can reliably reproduce this with Flink 1.17.1 running on Kubernetes by simply
killing the JM leader pod. Once the stand-by JobManager takes over, all
checkpoints consistently fail with the following error:
{noformat}
org.apache.flink.runtime.checkpoint.CheckpointException: Failure to finalize
checkpoint. at
org.apache.flink.runtime.checkpoint.CheckpointCoordinator.finalizeCheckpoint(CheckpointCoordinator.java:1424)
at
org.apache.flink.runtime.checkpoint.CheckpointCoordinator.completePendingCheckpoint(CheckpointCoordinator.java:1310)
at
org.apache.flink.runtime.checkpoint.CheckpointCoordinator.receiveAcknowledgeMessage(CheckpointCoordinator.java:1202)
at
org.apache.flink.runtime.scheduler.ExecutionGraphHandler.lambda$acknowledgeCheckpoint$1(ExecutionGraphHandler.java:89)
at
org.apache.flink.runtime.scheduler.ExecutionGraphHandler.lambda$processCheckpointCoordinatorMessage$3(ExecutionGraphHandler.java:119)
at
java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
at
java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
at java.base/java.lang.Thread.run(Thread.java:829) Caused by:
org.apache.hadoop.fs.UnsupportedFileSystemException: No FileSystem for scheme
"file" at
org.apache.hadoop.fs.FileSystem.getFileSystemClass(FileSystem.java:3443) at
org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:3466) at
org.apache.hadoop.fs.FileSystem.access$300(FileSystem.java:174) at
org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:3574) at
org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:3521) at
org.apache.hadoop.fs.FileSystem.get(FileSystem.java:540) at
org.apache.hadoop.fs.FileSystem.getLocal(FileSystem.java:496) at
org.apache.hadoop.fs.LocalDirAllocator$AllocatorPerContext.confChanged(LocalDirAllocator.java:316)
at
org.apache.hadoop.fs.LocalDirAllocator$AllocatorPerContext.getLocalPathForWrite(LocalDirAllocator.java:393)
at
org.apache.hadoop.fs.LocalDirAllocator.getLocalPathForWrite(LocalDirAllocator.java:165)
at
org.apache.hadoop.fs.LocalDirAllocator.getLocalPathForWrite(LocalDirAllocator.java:146)
at
org.apache.hadoop.fs.store.DataBlocks$DiskBlockFactory.createTmpFileForWrite(DataBlocks.java:980)
at
org.apache.hadoop.fs.store.DataBlocks$DiskBlockFactory.create(DataBlocks.java:960)
at
org.apache.hadoop.fs.azurebfs.services.AbfsOutputStream.createBlockIfNeeded(AbfsOutputStream.java:262)
at
org.apache.hadoop.fs.azurebfs.services.AbfsOutputStream.<init>(AbfsOutputStream.java:173)
at
org.apache.hadoop.fs.azurebfs.AzureBlobFileSystemStore.createFile(AzureBlobFileSystemStore.java:580)
at
org.apache.hadoop.fs.azurebfs.AzureBlobFileSystem.create(AzureBlobFileSystem.java:301)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:1195) at
org.apache.hadoop.fs.FileSystem.create(FileSystem.java:1175) at
org.apache.hadoop.fs.FileSystem.create(FileSystem.java:1064) at
org.apache.flink.fs.azure.common.hadoop.HadoopFileSystem.create(HadoopFileSystem.java:154)
at
org.apache.flink.fs.azure.common.hadoop.HadoopFileSystem.create(HadoopFileSystem.java:37)
at
org.apache.flink.core.fs.PluginFileSystemFactory$ClassLoaderFixingFileSystem.create(PluginFileSystemFactory.java:170)
at
org.apache.flink.runtime.state.filesystem.FSDataOutputStreamWrapper.<init>(FSDataOutputStreamWrapper.java:42)
at
org.apache.flink.runtime.state.filesystem.FsCheckpointMetadataOutputStream.getOutputStreamWrapper(FsCheckpointMetadataOutputStream.java:179)
at
org.apache.flink.runtime.state.filesystem.FsCheckpointMetadataOutputStream.<init>(FsCheckpointMetadataOutputStream.java:64)
at
org.apache.flink.runtime.state.filesystem.FsCheckpointStorageLocation.createMetadataOutputStream(FsCheckpointStorageLocation.java:116)
at
org.apache.flink.runtime.checkpoint.PendingCheckpoint.finalizeCheckpoint(PendingCheckpoint.java:330)
at
org.apache.flink.runtime.checkpoint.CheckpointCoordinator.finalizeCheckpoint(CheckpointCoordinator.java:1410)
... 7 common frames omitted{noformat}
I am not exactly sure why this works with the first JM and why all of a sudden
the local Hadoop FS implementation cannot be loaded on a stand-by JM... I am
running with default settings when it comes to Hadoop FS etc.
Anyway, I found a workaround thanks to
https://issues.apache.org/jira/browse/SPARK-43188: simply setting
{{fs.azure.data.blocks.buffer}} to {{array}} seems to solve the issue. So this
is minor priority.
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
