[jira] [Updated] (SPARK-19645) structured streaming job restart bug
[
https://issues.apache.org/jira/browse/SPARK-19645?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
guifeng updated SPARK-19645:
Description:
We are trying to use Structured Streaming in product, however currently
there exists a bug refer to the process of streaming job restart.
The following is the concrete error message:
{quote}
Caused by: java.lang.IllegalStateException: Error committing version 2 into
HDFSStateStore[id = (op=0, part=136), dir =
/tmp/Pipeline_112346-continueagg-bxaxs/state/0/136]
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$HDFSBackedStateStore.commit(HDFSBackedStateStoreProvider.scala:162)
at
org.apache.spark.sql.execution.streaming.StateStoreSaveExec$$anonfun$doExecute$3.apply(StatefulAggregate.scala:173)
at
org.apache.spark.sql.execution.streaming.StateStoreSaveExec$$anonfun$doExecute$3.apply(StatefulAggregate.scala:123)
at
org.apache.spark.sql.execution.streaming.state.StateStoreRDD.compute(StateStoreRDD.scala:64)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.io.IOException: Failed to rename
/tmp/Pipeline_112346-continueagg-bxaxs/state/0/136/temp--5345709896617324284 to
/tmp/Pipeline_112346-continueagg-bxaxs/state/0/136/2.delta
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$commitUpdates(HDFSBackedStateStoreProvider.scala:259)
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$HDFSBackedStateStore.commit(HDFSBackedStateStoreProvider.scala:156)
... 14 more
{quote}
The bug can be easily reproduced, just modify {color:red} val metadataRoot
= "hdfs://localhost:8020/tmp/checkpoint" {color} in StreamTest and then run the
test {color:red} sort after aggregate in complete mode {color} in
StreamingAggregationSuite. The main reason is that when restart streaming job
spark will recompute WAL offsets and generate the same hdfs delta file(latest
delta file generated before restart and named "currentBatchId.delta") . In my
opinion, this is a bug. If you guy consider that this is a bug also, I can
fix it.
was:
We are trying to use Structured Streaming in product, however currently
there exists a bug refer to the process of streaming job restart.
The following is the concrete error message:
{quote}
Caused by: java.lang.IllegalStateException: Error committing version 2 into
HDFSStateStore[id = (op=0, part=136), dir =
/tmp/Pipeline_112346-continueagg-bxaxs/state/0/136]
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$HDFSBackedStateStore.commit(HDFSBackedStateStoreProvider.scala:162)
at
org.apache.spark.sql.execution.streaming.StateStoreSaveExec$$anonfun$doExecute$3.apply(StatefulAggregate.scala:173)
at
org.apache.spark.sql.execution.streaming.StateStoreSaveExec$$anonfun$doExecute$3.apply(StatefulAggregate.scala:123)
at
org.apache.spark.sql.execution.streaming.state.StateStoreRDD.compute(StateStoreRDD.scala:64)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.io.IOException: Failed to rename
/tmp/Pipeline_112346-continueagg-bxaxs/state/0/136/temp--5345709896617324284 to
/tmp/Pipeline_112346-continueagg-bxaxs/state/0/136/2.delta
at
[jira] [Updated] (SPARK-19645) structured streaming job restart bug
[
https://issues.apache.org/jira/browse/SPARK-19645?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
guifeng updated SPARK-19645:
Description:
We are trying to use Structured Streaming in product, however currently
there exists a bug refer to the process of streaming job restart.
The following is the concrete error message:
{quote}
Caused by: java.lang.IllegalStateException: Error committing version 2 into
HDFSStateStore[id = (op=0, part=136), dir =
/tmp/Pipeline_112346-continueagg-bxaxs/state/0/136]
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$HDFSBackedStateStore.commit(HDFSBackedStateStoreProvider.scala:162)
at
org.apache.spark.sql.execution.streaming.StateStoreSaveExec$$anonfun$doExecute$3.apply(StatefulAggregate.scala:173)
at
org.apache.spark.sql.execution.streaming.StateStoreSaveExec$$anonfun$doExecute$3.apply(StatefulAggregate.scala:123)
at
org.apache.spark.sql.execution.streaming.state.StateStoreRDD.compute(StateStoreRDD.scala:64)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.io.IOException: Failed to rename
/tmp/Pipeline_112346-continueagg-bxaxs/state/0/136/temp--5345709896617324284 to
/tmp/Pipeline_112346-continueagg-bxaxs/state/0/136/2.delta
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$commitUpdates(HDFSBackedStateStoreProvider.scala:259)
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$HDFSBackedStateStore.commit(HDFSBackedStateStoreProvider.scala:156)
... 14 more
{quote}
The bug can be easily reproduce when restart previous streaming job, and
the main reason is that when restart streaming job spark will recompute WAL
offsets and generate the same hdfs delta file(latest delta file generated
before restart and named "currentBatchId.delta") . In my opinion, this is a
bug. If you guy consider that this is a bug also, I can fix it.
was:
We are trying to use Structured Streaming in product, however currently
there exists a bug refer to the process of streaming job restart.
The following is the concrete error message:
{quote}
Caused by: java.lang.IllegalStateException: Error committing version 2 into
HDFSStateStore[id = (op=0, part=136), dir =
/tmp/Pipeline_112346-continueagg-bxaxs/state/0/136]
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$HDFSBackedStateStore.commit(HDFSBackedStateStoreProvider.scala:162)
at
org.apache.spark.sql.execution.streaming.StateStoreSaveExec$$anonfun$doExecute$3.apply(StatefulAggregate.scala:173)
at
org.apache.spark.sql.execution.streaming.StateStoreSaveExec$$anonfun$doExecute$3.apply(StatefulAggregate.scala:123)
at
org.apache.spark.sql.execution.streaming.state.StateStoreRDD.compute(StateStoreRDD.scala:64)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.io.IOException: Failed to rename
/tmp/Pipeline_112346-continueagg-bxaxs/state/0/136/temp--5345709896617324284 to
/tmp/Pipeline_112346-continueagg-bxaxs/state/0/136/2.delta
at
[jira] [Updated] (SPARK-19645) structured streaming job restart bug
[
https://issues.apache.org/jira/browse/SPARK-19645?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
guifeng updated SPARK-19645:
Description:
We are trying to use Structured Streaming in product, however currently
there exists a bug refer to the process of streaming job restart.
The following is the concrete error message:
{quote}
Caused by: java.lang.IllegalStateException: Error committing version 2 into
HDFSStateStore[id = (op=0, part=136), dir =
/tmp/Pipeline_112346-continueagg-bxaxs/state/0/136]
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$HDFSBackedStateStore.commit(HDFSBackedStateStoreProvider.scala:162)
at
org.apache.spark.sql.execution.streaming.StateStoreSaveExec$$anonfun$doExecute$3.apply(StatefulAggregate.scala:173)
at
org.apache.spark.sql.execution.streaming.StateStoreSaveExec$$anonfun$doExecute$3.apply(StatefulAggregate.scala:123)
at
org.apache.spark.sql.execution.streaming.state.StateStoreRDD.compute(StateStoreRDD.scala:64)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.io.IOException: Failed to rename
/tmp/Pipeline_112346-continueagg-bxaxs/state/0/136/temp--5345709896617324284 to
/tmp/Pipeline_112346-continueagg-bxaxs/state/0/136/2.delta
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$commitUpdates(HDFSBackedStateStoreProvider.scala:259)
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$HDFSBackedStateStore.commit(HDFSBackedStateStoreProvider.scala:156)
... 14 more
{quote}
The bug can be easily reproduce when restart previous streaming job, and
the main reason is that when restart streaming job spark will recompute WAL
offsets and generate the same hdfs delta file(generated before restart and
named "currentBatchId.delta") . In my opinion, this is a bug. If you guy
consider that this is a bug also, I can fix it.
was:
We are trying to use Structured Streaming in product, however currently
there exists a bug refer to the process of streaming job restart.
The following is the concrete error message:
{quote}
Caused by: java.lang.IllegalStateException: Error committing version 2 into
HDFSStateStore[id = (op=0, part=136), dir =
/tmp/Pipeline_112346-continueagg-bxaxs/state/0/136]
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$HDFSBackedStateStore.commit(HDFSBackedStateStoreProvider.scala:162)
at
org.apache.spark.sql.execution.streaming.StateStoreSaveExec$$anonfun$doExecute$3.apply(StatefulAggregate.scala:173)
at
org.apache.spark.sql.execution.streaming.StateStoreSaveExec$$anonfun$doExecute$3.apply(StatefulAggregate.scala:123)
at
org.apache.spark.sql.execution.streaming.state.StateStoreRDD.compute(StateStoreRDD.scala:64)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.io.IOException: Failed to rename
/tmp/Pipeline_112346-continueagg-bxaxs/state/0/136/temp--5345709896617324284 to
/tmp/Pipeline_112346-continueagg-bxaxs/state/0/136/2.delta
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$commitUpdates(HDFSBackedStateStoreProvider.scala:259)
[jira] [Updated] (SPARK-19645) structured streaming job restart bug
[
https://issues.apache.org/jira/browse/SPARK-19645?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
guifeng updated SPARK-19645:
Description:
We are trying to use Structured Streaming in product, however currently
there exists a bug refer to the process of streaming job restart.
The following is the concrete error message:
{quote}
Caused by: java.lang.IllegalStateException: Error committing version 2 into
HDFSStateStore[id = (op=0, part=136), dir =
/tmp/Pipeline_112346-continueagg-bxaxs/state/0/136]
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$HDFSBackedStateStore.commit(HDFSBackedStateStoreProvider.scala:162)
at
org.apache.spark.sql.execution.streaming.StateStoreSaveExec$$anonfun$doExecute$3.apply(StatefulAggregate.scala:173)
at
org.apache.spark.sql.execution.streaming.StateStoreSaveExec$$anonfun$doExecute$3.apply(StatefulAggregate.scala:123)
at
org.apache.spark.sql.execution.streaming.state.StateStoreRDD.compute(StateStoreRDD.scala:64)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.io.IOException: Failed to rename
/tmp/Pipeline_112346-continueagg-bxaxs/state/0/136/temp--5345709896617324284 to
/tmp/Pipeline_112346-continueagg-bxaxs/state/0/136/2.delta
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$commitUpdates(HDFSBackedStateStoreProvider.scala:259)
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$HDFSBackedStateStore.commit(HDFSBackedStateStoreProvider.scala:156)
... 14 more
{quote}
The bug can be easily reproduce when restart previous streaming job, and
the main reason is that when restart streaming job spark will recompute WAL
offsets and generate the same hdfs delta file named "currentBatchId.delta". In
my opinion, this is a bug. If you guy consider that this is a bug also, I can
fix it.
was:
We are trying to use Structured Streaming in product, however currently
there exists a bug refer to the process of streaming job restart.
The following is the concrete error message:
{quote}
Caused by: java.lang.IllegalStateException: Error committing version 2 into
HDFSStateStore[id = (op=0, part=136), dir =
/tmp/Pipeline_112346-continueagg-bxaxs/state/0/136]
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$HDFSBackedStateStore.commit(HDFSBackedStateStoreProvider.scala:162)
at
org.apache.spark.sql.execution.streaming.StateStoreSaveExec$$anonfun$doExecute$3.apply(StatefulAggregate.scala:173)
at
org.apache.spark.sql.execution.streaming.StateStoreSaveExec$$anonfun$doExecute$3.apply(StatefulAggregate.scala:123)
at
org.apache.spark.sql.execution.streaming.state.StateStoreRDD.compute(StateStoreRDD.scala:64)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.io.IOException: Failed to rename
/tmp/Pipeline_112346-continueagg-bxaxs/state/0/136/temp--5345709896617324284 to
/tmp/Pipeline_112346-continueagg-bxaxs/state/0/136/2.delta
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$commitUpdates(HDFSBackedStateStoreProvider.scala:259)
at
[jira] [Updated] (SPARK-19645) structured streaming job restart bug
[
https://issues.apache.org/jira/browse/SPARK-19645?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
guifeng updated SPARK-19645:
Summary: structured streaming job restart bug (was: structured streaming
job restart)
> structured streaming job restart bug
>
>
> Key: SPARK-19645
> URL: https://issues.apache.org/jira/browse/SPARK-19645
> Project: Spark
> Issue Type: Bug
> Components: Structured Streaming
>Affects Versions: 2.1.0
>Reporter: guifeng
>Priority: Critical
>
> We are trying to use Structured Streaming in product, however currently
> there exists a bug refer to the process of streaming job restart.
> The following is the concrete error message:
> {quote}
>Caused by: java.lang.IllegalStateException: Error committing version 2
> into HDFSStateStore[id = (op=0, part=136), dir =
> /tmp/Pipeline_112346-continueagg-bxaxs/state/0/136]
> at
> org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$HDFSBackedStateStore.commit(HDFSBackedStateStoreProvider.scala:162)
> at
> org.apache.spark.sql.execution.streaming.StateStoreSaveExec$$anonfun$doExecute$3.apply(StatefulAggregate.scala:173)
> at
> org.apache.spark.sql.execution.streaming.StateStoreSaveExec$$anonfun$doExecute$3.apply(StatefulAggregate.scala:123)
> at
> org.apache.spark.sql.execution.streaming.state.StateStoreRDD.compute(StateStoreRDD.scala:64)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
> at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
> at org.apache.spark.scheduler.Task.run(Task.scala:99)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: java.io.IOException: Failed to rename
> /tmp/Pipeline_112346-continueagg-bxaxs/state/0/136/temp--5345709896617324284
> to /tmp/Pipeline_112346-continueagg-bxaxs/state/0/136/2.delta
> at
> org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$commitUpdates(HDFSBackedStateStoreProvider.scala:259)
> at
> org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$HDFSBackedStateStore.commit(HDFSBackedStateStoreProvider.scala:156)
> ... 14 more
> {quote}
> The bug can be easily reproduce when restart previous streaming job, and
> the main reason is that when restart streaming job spark will recompute WAL
> offsets and generate the same hdfs delta file whose name is
> "currentBatchId.delta". In my opinion, this is a bug. If you guy consider
> that this is a bug also, I can fix it.
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[jira] [Updated] (SPARK-19645) structured streaming job restart
[
https://issues.apache.org/jira/browse/SPARK-19645?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
guifeng updated SPARK-19645:
Description:
We are trying to use Structured Streaming in product, however currently
there exists a bug refer to the process of streaming job restart.
The following is the concrete error message:
{quote}
Caused by: java.lang.IllegalStateException: Error committing version 2 into
HDFSStateStore[id = (op=0, part=136), dir =
/tmp/Pipeline_112346-continueagg-bxaxs/state/0/136]
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$HDFSBackedStateStore.commit(HDFSBackedStateStoreProvider.scala:162)
at
org.apache.spark.sql.execution.streaming.StateStoreSaveExec$$anonfun$doExecute$3.apply(StatefulAggregate.scala:173)
at
org.apache.spark.sql.execution.streaming.StateStoreSaveExec$$anonfun$doExecute$3.apply(StatefulAggregate.scala:123)
at
org.apache.spark.sql.execution.streaming.state.StateStoreRDD.compute(StateStoreRDD.scala:64)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.io.IOException: Failed to rename
/tmp/Pipeline_112346-continueagg-bxaxs/state/0/136/temp--5345709896617324284 to
/tmp/Pipeline_112346-continueagg-bxaxs/state/0/136/2.delta
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$commitUpdates(HDFSBackedStateStoreProvider.scala:259)
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$HDFSBackedStateStore.commit(HDFSBackedStateStoreProvider.scala:156)
... 14 more
{quote}
The bug can be easily reproduce when restart previous streaming job, and
the main reason is that when restart streaming job spark will recompute WAL
offsets and generate the same hdfs delta file whose name is
"currentBatchId.delta". In my opinion, this is a bug. If you guy consider that
this is a bug also, I can fix it.
was:
We are trying to use Structured Streaming in product, however currently
there exists a bug refer to the process of streaming job restart.
The following is the concrete error message:
{quote}
Caused by: java.lang.IllegalStateException: Error committing version 2 into
HDFSStateStore[id = (op=0, part=136), dir =
/tmp/Pipeline_112346-continueagg-bxaxs/state/0/136]
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$HDFSBackedStateStore.commit(HDFSBackedStateStoreProvider.scala:162)
at
org.apache.spark.sql.execution.streaming.StateStoreSaveExec$$anonfun$doExecute$3.apply(StatefulAggregate.scala:173)
at
org.apache.spark.sql.execution.streaming.StateStoreSaveExec$$anonfun$doExecute$3.apply(StatefulAggregate.scala:123)
at
org.apache.spark.sql.execution.streaming.state.StateStoreRDD.compute(StateStoreRDD.scala:64)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.io.IOException: Failed to rename
/tmp/Pipeline_112346-continueagg-bxaxs/state/0/136/temp--5345709896617324284 to
/tmp/Pipeline_112346-continueagg-bxaxs/state/0/136/2.delta
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$commitUpdates(HDFSBackedStateStoreProvider.scala:259)
at
[jira] [Updated] (SPARK-19645) structured streaming job restart
[
https://issues.apache.org/jira/browse/SPARK-19645?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
guifeng updated SPARK-19645:
Description:
We are trying to use Structured Streaming in product, however currently
there exists a bug refer to the process of streaming job restart.
The following is the concrete error message:
{quote}
Caused by: java.lang.IllegalStateException: Error committing version 2 into
HDFSStateStore[id = (op=0, part=136), dir =
/tmp/Pipeline_112346-continueagg-bxaxs/state/0/136]
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$HDFSBackedStateStore.commit(HDFSBackedStateStoreProvider.scala:162)
at
org.apache.spark.sql.execution.streaming.StateStoreSaveExec$$anonfun$doExecute$3.apply(StatefulAggregate.scala:173)
at
org.apache.spark.sql.execution.streaming.StateStoreSaveExec$$anonfun$doExecute$3.apply(StatefulAggregate.scala:123)
at
org.apache.spark.sql.execution.streaming.state.StateStoreRDD.compute(StateStoreRDD.scala:64)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.io.IOException: Failed to rename
/tmp/Pipeline_112346-continueagg-bxaxs/state/0/136/temp--5345709896617324284 to
/tmp/Pipeline_112346-continueagg-bxaxs/state/0/136/2.delta
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$commitUpdates(HDFSBackedStateStoreProvider.scala:259)
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$HDFSBackedStateStore.commit(HDFSBackedStateStoreProvider.scala:156)
... 14 more
{quote}
The bug can be easily reproduce when restart previous streaming job, and
the main reason is that when restart streaming job spark will recompute WAL
offsets and generate the same hdfs delta file whose name is
"currentBatchId.delta". In my opinion, this is a bug, and if you guy consider
that this is a bug also, I can fix it.
was:
We are trying to use Structured Streaming in product, however currently
there exists a bug refer to the process of streaming job restart.
The following is the concrete error message:
{quote}
Caused by: java.lang.IllegalStateException: Error committing version 2 into
HDFSStateStore[id = (op=0, part=136), dir =
/tmp/Pipeline_112346-continueagg-bxaxs/state/0/136]
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$HDFSBackedStateStore.commit(HDFSBackedStateStoreProvider.scala:162)
at
org.apache.spark.sql.execution.streaming.StateStoreSaveExec$$anonfun$doExecute$3.apply(StatefulAggregate.scala:173)
at
org.apache.spark.sql.execution.streaming.StateStoreSaveExec$$anonfun$doExecute$3.apply(StatefulAggregate.scala:123)
at
org.apache.spark.sql.execution.streaming.state.StateStoreRDD.compute(StateStoreRDD.scala:64)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.io.IOException: Failed to rename
/tmp/Pipeline_112346-continueagg-bxaxs/state/0/136/temp--5345709896617324284 to
/tmp/Pipeline_112346-continueagg-bxaxs/state/0/136/2.delta
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$commitUpdates(HDFSBackedStateStoreProvider.scala:259)
at
[jira] [Updated] (SPARK-19645) structured streaming job restart
[
https://issues.apache.org/jira/browse/SPARK-19645?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
guifeng updated SPARK-19645:
Description:
We are trying to use Structured Streaming in product, however currently
there exists a bug refer to the process of streaming job restart.
The following is the concrete error message:
{quote}
Caused by: java.lang.IllegalStateException: Error committing version 2 into
HDFSStateStore[id = (op=0, part=136), dir =
/tmp/Pipeline_112346-continueagg-bxaxs/state/0/136]
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$HDFSBackedStateStore.commit(HDFSBackedStateStoreProvider.scala:162)
at
org.apache.spark.sql.execution.streaming.StateStoreSaveExec$$anonfun$doExecute$3.apply(StatefulAggregate.scala:173)
at
org.apache.spark.sql.execution.streaming.StateStoreSaveExec$$anonfun$doExecute$3.apply(StatefulAggregate.scala:123)
at
org.apache.spark.sql.execution.streaming.state.StateStoreRDD.compute(StateStoreRDD.scala:64)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.io.IOException: Failed to rename
/tmp/Pipeline_112346-continueagg-bxaxs/state/0/136/temp--5345709896617324284 to
/tmp/Pipeline_112346-continueagg-bxaxs/state/0/136/2.delta
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$commitUpdates(HDFSBackedStateStoreProvider.scala:259)
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$HDFSBackedStateStore.commit(HDFSBackedStateStoreProvider.scala:156)
... 14 more
{quote}
The bug can be easily reproduce when restart previous streaming job, and
the main reason is that when restart streaming job spark will recompute wal
offsets and generate the same hdfs delta file whose name is
"currentBatchId.delta". In my opinion, this is a bug, and if you guy consider
that this is a bug also, I can fix it.
was:
We are trying to use Structured Streaming in product, however currently
there exists a bug refer to the process of streaming job restart.
The following is the concrete error message:
{quote}
Caused by: java.lang.IllegalStateException: Error committing version 2 into
HDFSStateStore[id = (op=0, part=136), dir =
/tmp/PipelinePolicy_112346-continueagg-bxaxs/state/0/136]
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$HDFSBackedStateStore.commit(HDFSBackedStateStoreProvider.scala:162)
at
org.apache.spark.sql.execution.streaming.StateStoreSaveExec$$anonfun$doExecute$3.apply(StatefulAggregate.scala:173)
at
org.apache.spark.sql.execution.streaming.StateStoreSaveExec$$anonfun$doExecute$3.apply(StatefulAggregate.scala:123)
at
org.apache.spark.sql.execution.streaming.state.StateStoreRDD.compute(StateStoreRDD.scala:64)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.io.IOException: Failed to rename
/tmp/PipelinePolicy_112346-continueagg-bxaxs/state/0/136/temp--5345709896617324284
to /tmp/PipelinePolicy_112346-continueagg-bxaxs/state/0/136/2.delta
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$commitUpdates(HDFSBackedStateStoreProvider.scala:259)
