You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Stavros Kontopoulos (JIRA)" <ji...@apache.org> on 2019/04/30 23:14:00 UTC

[jira] [Updated] (SPARK-27598) DStreams checkpointing does not work with the Spark Shell

     [ https://issues.apache.org/jira/browse/SPARK-27598?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Stavros Kontopoulos updated SPARK-27598:
----------------------------------------
    Summary: DStreams checkpointing does not work with the Spark Shell  (was: DStreams checkpointing does not work with Scala 2.12)

> 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.



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org