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https://issues.apache.org/jira/browse/SPARK-27598?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16830745#comment-16830745
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Stavros Kontopoulos edited comment on SPARK-27598 at 4/30/19 11:13 PM:
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I will remove the language version from the title. This seems to be specific
to the shell.
With Spark 2.3.3 which I assume has 2.11 by default it fails with a different
error:
{quote}2019-05-01 02:12:00 WARN CheckpointReader:87 - Error reading checkpoint
from file
[file:/tmp/checkpoint/checkpoint-1556665870000.bk|file:///tmp/checkpoint/checkpoint-1556665870000.bk]
java.io.IOException: java.lang.ClassNotFoundException:
$line16.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$MapWithState$$anonfun$3
at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1354)
at
org.apache.spark.streaming.dstream.FileInputDStream.readObject(FileInputDStream.scala:316)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at java.io.ObjectStreamClass.invokeReadObject(ObjectStreamClass.java:1170)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2178)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2069)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1573)
at java.io.ObjectInputStream.readArray(ObjectInputStream.java:1975)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1567)
{quote}
was (Author: skonto):
I will remove the language version from the title.
With Spark 2.3.3 which I assume has 2.11 by default it fails with a different
error:
{quote}2019-05-01 02:12:00 WARN CheckpointReader:87 - Error reading checkpoint
from file file:/tmp/checkpoint/checkpoint-1556665870000.bk
java.io.IOException: java.lang.ClassNotFoundException:
$line16.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$MapWithState$$anonfun$3
at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1354)
at
org.apache.spark.streaming.dstream.FileInputDStream.readObject(FileInputDStream.scala:316)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at java.io.ObjectStreamClass.invokeReadObject(ObjectStreamClass.java:1170)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2178)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2069)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1573)
at java.io.ObjectInputStream.readArray(ObjectInputStream.java:1975)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1567)
{quote}
> DStreams checkpointing does not work with the Spark Shell
> ---------------------------------------------------------
>
> Key: SPARK-27598
> URL: https://issues.apache.org/jira/browse/SPARK-27598
> Project: Spark
> Issue Type: Bug
> Components: DStreams
> Affects Versions: 2.4.0, 2.4.1, 2.4.2, 3.0.0
> Reporter: Stavros Kontopoulos
> Priority: Major
>
> When I restarted a stream with checkpointing enabled I got this:
> {quote}19/04/29 22:45:06 WARN CheckpointReader: Error reading checkpoint from
> file
> [file:/tmp/checkpoint/checkpoint-1556566950000.bk|file:///tmp/checkpoint/checkpoint-1556566950000.bk]
> java.io.IOException: java.lang.ClassCastException: cannot assign instance of
> java.lang.invoke.SerializedLambda to field
> org.apache.spark.streaming.dstream.FileInputDStream.filter of type
> scala.Function1 in instance of
> org.apache.spark.streaming.dstream.FileInputDStream
> at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1322)
> at
> org.apache.spark.streaming.dstream.FileInputDStream.readObject(FileInputDStream.scala:314)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> {quote}
> It seems that the closure is stored in the Serialized format and cannot be
> assigned back to a scala function1
> Details of how to reproduce it here:
> [https://gist.github.com/skonto/87d5b2368b0bf7786d9dd992a710e4e6]
> Maybe this is spark-shell specific and is not expected to work anyway, as I
> dont see this to be an issues with a normal jar.
> Note that with Spark 2.3.3 the error is different and this still does not
> work but with a different error.
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