[jira] [Commented] (SPARK-22403) StructuredKafkaWordCount example fails in YARN cluster mode
[
https://issues.apache.org/jira/browse/SPARK-22403?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16245191#comment-16245191
]
Apache Spark commented on SPARK-22403:
--
User 'wypoon' has created a pull request for this issue:
https://github.com/apache/spark/pull/19703
> StructuredKafkaWordCount example fails in YARN cluster mode
> ---
>
> Key: SPARK-22403
> URL: https://issues.apache.org/jira/browse/SPARK-22403
> Project: Spark
> Issue Type: Bug
> Components: Structured Streaming
>Affects Versions: 2.2.0
>Reporter: Wing Yew Poon
>
> When I run the StructuredKafkaWordCount example in YARN client mode, it runs
> fine. However, when I run it in YARN cluster mode, the application errors
> during initialization, and dies after the default number of YARN application
> attempts. In the AM log, I see
> {noformat}
> 17/10/30 11:34:52 INFO execution.SparkSqlParser: Parsing command: CAST(value
> AS STRING)
> 17/10/30 11:34:53 ERROR streaming.StreamMetadata: Error writing stream
> metadata StreamMetadata(b71ca714-a7a1-467f-96aa-023375964429) to
> /data/yarn/nm/usercache/systest/appcache/application_1508800814252_0047/container_1508800814252_0047_01_01/tmp/temporary-b5ced4ae-32e0-4725-b905-aad679aec9b5/metadata
> org.apache.hadoop.security.AccessControlException: Permission denied:
> user=systest, access=WRITE, inode="/":hdfs:supergroup:drwxr-xr-x
> at
> org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.check(FSPermissionChecker.java:397)
> at
> org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.checkPermission(FSPermissionChecker.java:256)
> at
> org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.checkPermission(FSPermissionChecker.java:194)
> at
> org.apache.hadoop.hdfs.server.namenode.FSDirectory.checkPermission(FSDirectory.java:1842)
> at
> org.apache.hadoop.hdfs.server.namenode.FSDirectory.checkPermission(FSDirectory.java:1826)
> at
> org.apache.hadoop.hdfs.server.namenode.FSDirectory.checkAncestorAccess(FSDirectory.java:1785)
> at
> org.apache.hadoop.hdfs.server.namenode.FSDirWriteFileOp.resolvePathForStartFile(FSDirWriteFileOp.java:315)
> at
> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.startFileInt(FSNamesystem.java:2313)
> at
> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.startFile(FSNamesystem.java:2257)
> ...
> at
> org.apache.hadoop.hdfs.DFSOutputStream.newStreamForCreate(DFSOutputStream.java:280)
> at org.apache.hadoop.hdfs.DFSClient.create(DFSClient.java:1235)
> at org.apache.hadoop.hdfs.DFSClient.create(DFSClient.java:1214)
> at org.apache.hadoop.hdfs.DFSClient.create(DFSClient.java:1152)
> at
> org.apache.hadoop.hdfs.DistributedFileSystem$8.doCall(DistributedFileSystem.java:458)
> at
> org.apache.hadoop.hdfs.DistributedFileSystem$8.doCall(DistributedFileSystem.java:455)
> at
> org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
> at
> org.apache.hadoop.hdfs.DistributedFileSystem.create(DistributedFileSystem.java:469)
> at
> org.apache.hadoop.hdfs.DistributedFileSystem.create(DistributedFileSystem.java:396)
> at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:1103)
> at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:1083)
> at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:972)
> at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:960)
> at
> org.apache.spark.sql.execution.streaming.StreamMetadata$.write(StreamMetadata.scala:76)
> at
> org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$6.apply(StreamExecution.scala:116)
> at
> org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$6.apply(StreamExecution.scala:114)
> at scala.Option.getOrElse(Option.scala:121)
> at
> org.apache.spark.sql.execution.streaming.StreamExecution.(StreamExecution.scala:114)
> at
> org.apache.spark.sql.streaming.StreamingQueryManager.createQuery(StreamingQueryManager.scala:240)
> at
> org.apache.spark.sql.streaming.StreamingQueryManager.startQuery(StreamingQueryManager.scala:278)
> at
> org.apache.spark.sql.streaming.DataStreamWriter.start(DataStreamWriter.scala:282)
> at
> org.apache.spark.examples.sql.streaming.StructuredKafkaWordCount$.main(StructuredKafkaWordCount.scala:79)
> at
> org.apache.spark.examples.sql.streaming.StructuredKafkaWordCount.main(StructuredKafkaWordCount.scala)
> {noformat}
> Looking at StreamingQueryManager#createQuery, we have
> https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/streaming/StreamingQueryManager.scala#L198
> {code}
> val checkpointLocation = userSpecifiedCheckpointLocation.map { ...
> ...
>
[jira] [Commented] (SPARK-22403) StructuredKafkaWordCount example fails in YARN cluster mode
[
https://issues.apache.org/jira/browse/SPARK-22403?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16227321#comment-16227321
]
Shixiong Zhu commented on SPARK-22403:
--
Yeah, feel free to submit a PR to improve the example.
> StructuredKafkaWordCount example fails in YARN cluster mode
> ---
>
> Key: SPARK-22403
> URL: https://issues.apache.org/jira/browse/SPARK-22403
> Project: Spark
> Issue Type: Bug
> Components: Structured Streaming
>Affects Versions: 2.2.0
>Reporter: Wing Yew Poon
>
> When I run the StructuredKafkaWordCount example in YARN client mode, it runs
> fine. However, when I run it in YARN cluster mode, the application errors
> during initialization, and dies after the default number of YARN application
> attempts. In the AM log, I see
> {noformat}
> 17/10/30 11:34:52 INFO execution.SparkSqlParser: Parsing command: CAST(value
> AS STRING)
> 17/10/30 11:34:53 ERROR streaming.StreamMetadata: Error writing stream
> metadata StreamMetadata(b71ca714-a7a1-467f-96aa-023375964429) to
> /data/yarn/nm/usercache/systest/appcache/application_1508800814252_0047/container_1508800814252_0047_01_01/tmp/temporary-b5ced4ae-32e0-4725-b905-aad679aec9b5/metadata
> org.apache.hadoop.security.AccessControlException: Permission denied:
> user=systest, access=WRITE, inode="/":hdfs:supergroup:drwxr-xr-x
> at
> org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.check(FSPermissionChecker.java:397)
> at
> org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.checkPermission(FSPermissionChecker.java:256)
> at
> org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.checkPermission(FSPermissionChecker.java:194)
> at
> org.apache.hadoop.hdfs.server.namenode.FSDirectory.checkPermission(FSDirectory.java:1842)
> at
> org.apache.hadoop.hdfs.server.namenode.FSDirectory.checkPermission(FSDirectory.java:1826)
> at
> org.apache.hadoop.hdfs.server.namenode.FSDirectory.checkAncestorAccess(FSDirectory.java:1785)
> at
> org.apache.hadoop.hdfs.server.namenode.FSDirWriteFileOp.resolvePathForStartFile(FSDirWriteFileOp.java:315)
> at
> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.startFileInt(FSNamesystem.java:2313)
> at
> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.startFile(FSNamesystem.java:2257)
> ...
> at
> org.apache.hadoop.hdfs.DFSOutputStream.newStreamForCreate(DFSOutputStream.java:280)
> at org.apache.hadoop.hdfs.DFSClient.create(DFSClient.java:1235)
> at org.apache.hadoop.hdfs.DFSClient.create(DFSClient.java:1214)
> at org.apache.hadoop.hdfs.DFSClient.create(DFSClient.java:1152)
> at
> org.apache.hadoop.hdfs.DistributedFileSystem$8.doCall(DistributedFileSystem.java:458)
> at
> org.apache.hadoop.hdfs.DistributedFileSystem$8.doCall(DistributedFileSystem.java:455)
> at
> org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
> at
> org.apache.hadoop.hdfs.DistributedFileSystem.create(DistributedFileSystem.java:469)
> at
> org.apache.hadoop.hdfs.DistributedFileSystem.create(DistributedFileSystem.java:396)
> at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:1103)
> at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:1083)
> at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:972)
> at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:960)
> at
> org.apache.spark.sql.execution.streaming.StreamMetadata$.write(StreamMetadata.scala:76)
> at
> org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$6.apply(StreamExecution.scala:116)
> at
> org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$6.apply(StreamExecution.scala:114)
> at scala.Option.getOrElse(Option.scala:121)
> at
> org.apache.spark.sql.execution.streaming.StreamExecution.(StreamExecution.scala:114)
> at
> org.apache.spark.sql.streaming.StreamingQueryManager.createQuery(StreamingQueryManager.scala:240)
> at
> org.apache.spark.sql.streaming.StreamingQueryManager.startQuery(StreamingQueryManager.scala:278)
> at
> org.apache.spark.sql.streaming.DataStreamWriter.start(DataStreamWriter.scala:282)
> at
> org.apache.spark.examples.sql.streaming.StructuredKafkaWordCount$.main(StructuredKafkaWordCount.scala:79)
> at
> org.apache.spark.examples.sql.streaming.StructuredKafkaWordCount.main(StructuredKafkaWordCount.scala)
> {noformat}
> Looking at StreamingQueryManager#createQuery, we have
> https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/streaming/StreamingQueryManager.scala#L198
> {code}
> val checkpointLocation = userSpecifiedCheckpointLocation.map { ...
> ...
> }.orElse {
> ...
> }.getOrElse
[jira] [Commented] (SPARK-22403) StructuredKafkaWordCount example fails in YARN cluster mode
[
https://issues.apache.org/jira/browse/SPARK-22403?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16227298#comment-16227298
]
Wing Yew Poon commented on SPARK-22403:
---
I realize that in a production application, one would set checkpointLocation
and avoid this issue. However, there is evidently a problem in the code that
handles the case when checkpointLocation is not set and a temporary checkpoint
location is created. Also, the StructuredKafkaWordCount example does not accept
a parameter for setting the checkpointLocation.
> StructuredKafkaWordCount example fails in YARN cluster mode
> ---
>
> Key: SPARK-22403
> URL: https://issues.apache.org/jira/browse/SPARK-22403
> Project: Spark
> Issue Type: Bug
> Components: Structured Streaming
>Affects Versions: 2.2.0
>Reporter: Wing Yew Poon
>
> When I run the StructuredKafkaWordCount example in YARN client mode, it runs
> fine. However, when I run it in YARN cluster mode, the application errors
> during initialization, and dies after the default number of YARN application
> attempts. In the AM log, I see
> {noformat}
> 17/10/30 11:34:52 INFO execution.SparkSqlParser: Parsing command: CAST(value
> AS STRING)
> 17/10/30 11:34:53 ERROR streaming.StreamMetadata: Error writing stream
> metadata StreamMetadata(b71ca714-a7a1-467f-96aa-023375964429) to
> /data/yarn/nm/usercache/systest/appcache/application_1508800814252_0047/container_1508800814252_0047_01_01/tmp/temporary-b5ced4ae-32e0-4725-b905-aad679aec9b5/metadata
> org.apache.hadoop.security.AccessControlException: Permission denied:
> user=systest, access=WRITE, inode="/":hdfs:supergroup:drwxr-xr-x
> at
> org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.check(FSPermissionChecker.java:397)
> at
> org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.checkPermission(FSPermissionChecker.java:256)
> at
> org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.checkPermission(FSPermissionChecker.java:194)
> at
> org.apache.hadoop.hdfs.server.namenode.FSDirectory.checkPermission(FSDirectory.java:1842)
> at
> org.apache.hadoop.hdfs.server.namenode.FSDirectory.checkPermission(FSDirectory.java:1826)
> at
> org.apache.hadoop.hdfs.server.namenode.FSDirectory.checkAncestorAccess(FSDirectory.java:1785)
> at
> org.apache.hadoop.hdfs.server.namenode.FSDirWriteFileOp.resolvePathForStartFile(FSDirWriteFileOp.java:315)
> at
> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.startFileInt(FSNamesystem.java:2313)
> at
> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.startFile(FSNamesystem.java:2257)
> ...
> at
> org.apache.hadoop.hdfs.DFSOutputStream.newStreamForCreate(DFSOutputStream.java:280)
> at org.apache.hadoop.hdfs.DFSClient.create(DFSClient.java:1235)
> at org.apache.hadoop.hdfs.DFSClient.create(DFSClient.java:1214)
> at org.apache.hadoop.hdfs.DFSClient.create(DFSClient.java:1152)
> at
> org.apache.hadoop.hdfs.DistributedFileSystem$8.doCall(DistributedFileSystem.java:458)
> at
> org.apache.hadoop.hdfs.DistributedFileSystem$8.doCall(DistributedFileSystem.java:455)
> at
> org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
> at
> org.apache.hadoop.hdfs.DistributedFileSystem.create(DistributedFileSystem.java:469)
> at
> org.apache.hadoop.hdfs.DistributedFileSystem.create(DistributedFileSystem.java:396)
> at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:1103)
> at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:1083)
> at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:972)
> at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:960)
> at
> org.apache.spark.sql.execution.streaming.StreamMetadata$.write(StreamMetadata.scala:76)
> at
> org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$6.apply(StreamExecution.scala:116)
> at
> org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$6.apply(StreamExecution.scala:114)
> at scala.Option.getOrElse(Option.scala:121)
> at
> org.apache.spark.sql.execution.streaming.StreamExecution.(StreamExecution.scala:114)
> at
> org.apache.spark.sql.streaming.StreamingQueryManager.createQuery(StreamingQueryManager.scala:240)
> at
> org.apache.spark.sql.streaming.StreamingQueryManager.startQuery(StreamingQueryManager.scala:278)
> at
> org.apache.spark.sql.streaming.DataStreamWriter.start(DataStreamWriter.scala:282)
> at
> org.apache.spark.examples.sql.streaming.StructuredKafkaWordCount$.main(StructuredKafkaWordCount.scala:79)
> at
> org.apache.spark.examples.sql.streaming.StructuredKafkaWordCount.main(StructuredKafkaWordCount.scala)
> {noformat}
> Looking at
[jira] [Commented] (SPARK-22403) StructuredKafkaWordCount example fails in YARN cluster mode
[
https://issues.apache.org/jira/browse/SPARK-22403?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16227266#comment-16227266
]
Shixiong Zhu commented on SPARK-22403:
--
Yeah, Spark creates a temp directory for you. You can set "checkpointLocation"
by yourself to avoid this issue. I don't know if there is an API to create a
temp directory for all types of file systems.
> StructuredKafkaWordCount example fails in YARN cluster mode
> ---
>
> Key: SPARK-22403
> URL: https://issues.apache.org/jira/browse/SPARK-22403
> Project: Spark
> Issue Type: Bug
> Components: Structured Streaming
>Affects Versions: 2.2.0
>Reporter: Wing Yew Poon
>
> When I run the StructuredKafkaWordCount example in YARN client mode, it runs
> fine. However, when I run it in YARN cluster mode, the application errors
> during initialization, and dies after the default number of YARN application
> attempts. In the AM log, I see
> {noformat}
> 17/10/30 11:34:52 INFO execution.SparkSqlParser: Parsing command: CAST(value
> AS STRING)
> 17/10/30 11:34:53 ERROR streaming.StreamMetadata: Error writing stream
> metadata StreamMetadata(b71ca714-a7a1-467f-96aa-023375964429) to
> /data/yarn/nm/usercache/systest/appcache/application_1508800814252_0047/container_1508800814252_0047_01_01/tmp/temporary-b5ced4ae-32e0-4725-b905-aad679aec9b5/metadata
> org.apache.hadoop.security.AccessControlException: Permission denied:
> user=systest, access=WRITE, inode="/":hdfs:supergroup:drwxr-xr-x
> at
> org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.check(FSPermissionChecker.java:397)
> at
> org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.checkPermission(FSPermissionChecker.java:256)
> at
> org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.checkPermission(FSPermissionChecker.java:194)
> at
> org.apache.hadoop.hdfs.server.namenode.FSDirectory.checkPermission(FSDirectory.java:1842)
> at
> org.apache.hadoop.hdfs.server.namenode.FSDirectory.checkPermission(FSDirectory.java:1826)
> at
> org.apache.hadoop.hdfs.server.namenode.FSDirectory.checkAncestorAccess(FSDirectory.java:1785)
> at
> org.apache.hadoop.hdfs.server.namenode.FSDirWriteFileOp.resolvePathForStartFile(FSDirWriteFileOp.java:315)
> at
> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.startFileInt(FSNamesystem.java:2313)
> at
> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.startFile(FSNamesystem.java:2257)
> ...
> at
> org.apache.hadoop.hdfs.DFSOutputStream.newStreamForCreate(DFSOutputStream.java:280)
> at org.apache.hadoop.hdfs.DFSClient.create(DFSClient.java:1235)
> at org.apache.hadoop.hdfs.DFSClient.create(DFSClient.java:1214)
> at org.apache.hadoop.hdfs.DFSClient.create(DFSClient.java:1152)
> at
> org.apache.hadoop.hdfs.DistributedFileSystem$8.doCall(DistributedFileSystem.java:458)
> at
> org.apache.hadoop.hdfs.DistributedFileSystem$8.doCall(DistributedFileSystem.java:455)
> at
> org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
> at
> org.apache.hadoop.hdfs.DistributedFileSystem.create(DistributedFileSystem.java:469)
> at
> org.apache.hadoop.hdfs.DistributedFileSystem.create(DistributedFileSystem.java:396)
> at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:1103)
> at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:1083)
> at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:972)
> at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:960)
> at
> org.apache.spark.sql.execution.streaming.StreamMetadata$.write(StreamMetadata.scala:76)
> at
> org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$6.apply(StreamExecution.scala:116)
> at
> org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$6.apply(StreamExecution.scala:114)
> at scala.Option.getOrElse(Option.scala:121)
> at
> org.apache.spark.sql.execution.streaming.StreamExecution.(StreamExecution.scala:114)
> at
> org.apache.spark.sql.streaming.StreamingQueryManager.createQuery(StreamingQueryManager.scala:240)
> at
> org.apache.spark.sql.streaming.StreamingQueryManager.startQuery(StreamingQueryManager.scala:278)
> at
> org.apache.spark.sql.streaming.DataStreamWriter.start(DataStreamWriter.scala:282)
> at
> org.apache.spark.examples.sql.streaming.StructuredKafkaWordCount$.main(StructuredKafkaWordCount.scala:79)
> at
> org.apache.spark.examples.sql.streaming.StructuredKafkaWordCount.main(StructuredKafkaWordCount.scala)
> {noformat}
> Looking at StreamingQueryManager#createQuery, we have
>
[jira] [Commented] (SPARK-22403) StructuredKafkaWordCount example fails in YARN cluster mode
[
https://issues.apache.org/jira/browse/SPARK-22403?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16225913#comment-16225913
]
Wing Yew Poon commented on SPARK-22403:
---
The simplest change that will solve the problem in this particular scenario, is
to change the Utils.createTempDir(namePrefix = s"temporary") call in
https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/streaming/StreamingQueryManager.scala#L208
to Utils.createTempDir(root = "/tmp", namePrefix = "temporary").
In my view, using "/tmp" is not worse, in fact is better, than using
System.getProperty("java.io.tmpdir").
However, others may know of better solutions.
> StructuredKafkaWordCount example fails in YARN cluster mode
> ---
>
> Key: SPARK-22403
> URL: https://issues.apache.org/jira/browse/SPARK-22403
> Project: Spark
> Issue Type: Bug
> Components: Structured Streaming
>Affects Versions: 2.2.0
>Reporter: Wing Yew Poon
>
> When I run the StructuredKafkaWordCount example in YARN client mode, it runs
> fine. However, when I run it in YARN cluster mode, the application errors
> during initialization, and dies after the default number of YARN application
> attempts. In the AM log, I see
> {noformat}
> 17/10/30 11:34:52 INFO execution.SparkSqlParser: Parsing command: CAST(value
> AS STRING)
> 17/10/30 11:34:53 ERROR streaming.StreamMetadata: Error writing stream
> metadata StreamMetadata(b71ca714-a7a1-467f-96aa-023375964429) to
> /data/yarn/nm/usercache/systest/appcache/application_1508800814252_0047/container_1508800814252_0047_01_01/tmp/temporary-b5ced4ae-32e0-4725-b905-aad679aec9b5/metadata
> org.apache.hadoop.security.AccessControlException: Permission denied:
> user=systest, access=WRITE, inode="/":hdfs:supergroup:drwxr-xr-x
> at
> org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.check(FSPermissionChecker.java:397)
> at
> org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.checkPermission(FSPermissionChecker.java:256)
> at
> org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.checkPermission(FSPermissionChecker.java:194)
> at
> org.apache.hadoop.hdfs.server.namenode.FSDirectory.checkPermission(FSDirectory.java:1842)
> at
> org.apache.hadoop.hdfs.server.namenode.FSDirectory.checkPermission(FSDirectory.java:1826)
> at
> org.apache.hadoop.hdfs.server.namenode.FSDirectory.checkAncestorAccess(FSDirectory.java:1785)
> at
> org.apache.hadoop.hdfs.server.namenode.FSDirWriteFileOp.resolvePathForStartFile(FSDirWriteFileOp.java:315)
> at
> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.startFileInt(FSNamesystem.java:2313)
> at
> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.startFile(FSNamesystem.java:2257)
> ...
> at
> org.apache.hadoop.hdfs.DFSOutputStream.newStreamForCreate(DFSOutputStream.java:280)
> at org.apache.hadoop.hdfs.DFSClient.create(DFSClient.java:1235)
> at org.apache.hadoop.hdfs.DFSClient.create(DFSClient.java:1214)
> at org.apache.hadoop.hdfs.DFSClient.create(DFSClient.java:1152)
> at
> org.apache.hadoop.hdfs.DistributedFileSystem$8.doCall(DistributedFileSystem.java:458)
> at
> org.apache.hadoop.hdfs.DistributedFileSystem$8.doCall(DistributedFileSystem.java:455)
> at
> org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
> at
> org.apache.hadoop.hdfs.DistributedFileSystem.create(DistributedFileSystem.java:469)
> at
> org.apache.hadoop.hdfs.DistributedFileSystem.create(DistributedFileSystem.java:396)
> at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:1103)
> at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:1083)
> at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:972)
> at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:960)
> at
> org.apache.spark.sql.execution.streaming.StreamMetadata$.write(StreamMetadata.scala:76)
> at
> org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$6.apply(StreamExecution.scala:116)
> at
> org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$6.apply(StreamExecution.scala:114)
> at scala.Option.getOrElse(Option.scala:121)
> at
> org.apache.spark.sql.execution.streaming.StreamExecution.(StreamExecution.scala:114)
> at
> org.apache.spark.sql.streaming.StreamingQueryManager.createQuery(StreamingQueryManager.scala:240)
> at
> org.apache.spark.sql.streaming.StreamingQueryManager.startQuery(StreamingQueryManager.scala:278)
> at
> org.apache.spark.sql.streaming.DataStreamWriter.start(DataStreamWriter.scala:282)
> at
> org.apache.spark.examples.sql.streaming.StructuredKafkaWordCount$.main(StructuredKafkaWordCount.scala:79)
> at
