[jira] [Assigned] (SPARK-22594) Handling spark-submit and master version mismatch
[
https://issues.apache.org/jira/browse/SPARK-22594?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Marcelo Vanzin reassigned SPARK-22594:
--
Assignee: (was: Marcelo Vanzin)
> Handling spark-submit and master version mismatch
> -
>
> Key: SPARK-22594
> URL: https://issues.apache.org/jira/browse/SPARK-22594
> Project: Spark
> Issue Type: Bug
> Components: Spark Core, Spark Shell, Spark Submit
>Affects Versions: 2.1.0, 2.2.0
>Reporter: Jiri Kremser
>Priority: Minor
>
> When using spark-submit in different version than the remote Spark master,
> the execution fails on during the message deserialization with this log entry
> / exception:
> {code}
> Error while invoking RpcHandler#receive() for one-way message.
> java.io.InvalidClassException: org.apache.spark.rpc.RpcEndpointRef; local
> class incompatible: stream classdesc serialVersionUID = 1835832137613908542,
> local class serialVersionUID = -1329125091869941550
> at java.io.ObjectStreamClass.initNonProxy(ObjectStreamClass.java:616)
> at
> java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1843)
> at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1713)
> at
> java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1843)
> at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1713)
> at
> java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2000)
> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
> at
> java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2245)
> at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2169)
> at
> java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2027)
> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
> at java.io.ObjectInputStream.readObject(ObjectInputStream.java:422)
> at
> org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:75)
> at
> org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:108)
> at
> org.apache.spark.rpc.netty.NettyRpcEnv$$anonfun$deserialize$1$$anonfun$apply$1.apply(NettyRpcEnv.scala:271)
> at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
> at
> org.apache.spark.rpc.netty.NettyRpcEnv.deserialize(NettyRpcEnv.scala:320)
> at
> org.apache.spark.rpc.netty.NettyRpcEnv$$anonfun$deserialize$1.apply(NettyRpcEnv.scala:270)
> at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
> at
> org.apache.spark.rpc.netty.NettyRpcEnv.deserialize(NettyRpcEnv.scala:269)
> at
> org.apache.spark.rpc.netty.RequestMessage$.apply(NettyRpcEnv.scala:604)
> at
> org.apache.spark.rpc.netty.NettyRpcHandler.internalReceive(NettyRpcEnv.scala:655)
> at
> org.apache.spark.rpc.netty.NettyRpcHandler.receive(NettyRpcEnv.scala:647)
> at
> org.apache.spark.network.server.TransportRequestHandler.processOneWayMessage(TransportRequestHandler.java:209)
> at
> org.apache.spark.network.server.TransportRequestHandler.handle(TransportRequestHandler.java:114)
> at
> org.apache.spark.network.server.TransportChannelHandler.channelRead(TransportChannelHandler.java:118)
> ...
> {code}
> This is quite ok and it can be read as version mismatch between the client
> and server, however there is no such a message on the client (spark-submit)
> side, so if the submitter doesn't have an access to the spark master or spark
> UI, there is no way to figure out what is wrong.
> I propose sending a {{RpcFailure}} message back from server to client with
> some more informative error. I'd use the {{OneWayMessage}} instead of
> {{RpcFailure}}, because there was no counterpart {{RpcRequest}}, but I had no
> luck sending it using the {{reverseClient.send()}}. I think some internal
> protocol is assumed when sending messages server2client.
> I have a patch prepared.
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[jira] [Assigned] (SPARK-22594) Handling spark-submit and master version mismatch
[
https://issues.apache.org/jira/browse/SPARK-22594?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Marcelo Vanzin reassigned SPARK-22594:
--
Assignee: Marcelo Vanzin
> Handling spark-submit and master version mismatch
> -
>
> Key: SPARK-22594
> URL: https://issues.apache.org/jira/browse/SPARK-22594
> Project: Spark
> Issue Type: Bug
> Components: Spark Core, Spark Shell, Spark Submit
>Affects Versions: 2.1.0, 2.2.0
>Reporter: Jiri Kremser
>Assignee: Marcelo Vanzin
>Priority: Minor
>
> When using spark-submit in different version than the remote Spark master,
> the execution fails on during the message deserialization with this log entry
> / exception:
> {code}
> Error while invoking RpcHandler#receive() for one-way message.
> java.io.InvalidClassException: org.apache.spark.rpc.RpcEndpointRef; local
> class incompatible: stream classdesc serialVersionUID = 1835832137613908542,
> local class serialVersionUID = -1329125091869941550
> at java.io.ObjectStreamClass.initNonProxy(ObjectStreamClass.java:616)
> at
> java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1843)
> at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1713)
> at
> java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1843)
> at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1713)
> at
> java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2000)
> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
> at
> java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2245)
> at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2169)
> at
> java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2027)
> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
> at java.io.ObjectInputStream.readObject(ObjectInputStream.java:422)
> at
> org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:75)
> at
> org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:108)
> at
> org.apache.spark.rpc.netty.NettyRpcEnv$$anonfun$deserialize$1$$anonfun$apply$1.apply(NettyRpcEnv.scala:271)
> at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
> at
> org.apache.spark.rpc.netty.NettyRpcEnv.deserialize(NettyRpcEnv.scala:320)
> at
> org.apache.spark.rpc.netty.NettyRpcEnv$$anonfun$deserialize$1.apply(NettyRpcEnv.scala:270)
> at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
> at
> org.apache.spark.rpc.netty.NettyRpcEnv.deserialize(NettyRpcEnv.scala:269)
> at
> org.apache.spark.rpc.netty.RequestMessage$.apply(NettyRpcEnv.scala:604)
> at
> org.apache.spark.rpc.netty.NettyRpcHandler.internalReceive(NettyRpcEnv.scala:655)
> at
> org.apache.spark.rpc.netty.NettyRpcHandler.receive(NettyRpcEnv.scala:647)
> at
> org.apache.spark.network.server.TransportRequestHandler.processOneWayMessage(TransportRequestHandler.java:209)
> at
> org.apache.spark.network.server.TransportRequestHandler.handle(TransportRequestHandler.java:114)
> at
> org.apache.spark.network.server.TransportChannelHandler.channelRead(TransportChannelHandler.java:118)
> ...
> {code}
> This is quite ok and it can be read as version mismatch between the client
> and server, however there is no such a message on the client (spark-submit)
> side, so if the submitter doesn't have an access to the spark master or spark
> UI, there is no way to figure out what is wrong.
> I propose sending a {{RpcFailure}} message back from server to client with
> some more informative error. I'd use the {{OneWayMessage}} instead of
> {{RpcFailure}}, because there was no counterpart {{RpcRequest}}, but I had no
> luck sending it using the {{reverseClient.send()}}. I think some internal
> protocol is assumed when sending messages server2client.
> I have a patch prepared.
--
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[jira] [Assigned] (SPARK-22594) Handling spark-submit and master version mismatch
[
https://issues.apache.org/jira/browse/SPARK-22594?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-22594:
Assignee: (was: Apache Spark)
> Handling spark-submit and master version mismatch
> -
>
> Key: SPARK-22594
> URL: https://issues.apache.org/jira/browse/SPARK-22594
> Project: Spark
> Issue Type: Bug
> Components: Spark Core, Spark Shell, Spark Submit
>Affects Versions: 2.1.0, 2.2.0
>Reporter: Jiri Kremser
>Priority: Minor
>
> When using spark-submit in different version than the remote Spark master,
> the execution fails on during the message deserialization with this log entry
> / exception:
> {code}
> Error while invoking RpcHandler#receive() for one-way message.
> java.io.InvalidClassException: org.apache.spark.rpc.RpcEndpointRef; local
> class incompatible: stream classdesc serialVersionUID = 1835832137613908542,
> local class serialVersionUID = -1329125091869941550
> at java.io.ObjectStreamClass.initNonProxy(ObjectStreamClass.java:616)
> at
> java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1843)
> at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1713)
> at
> java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1843)
> at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1713)
> at
> java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2000)
> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
> at
> java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2245)
> at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2169)
> at
> java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2027)
> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
> at java.io.ObjectInputStream.readObject(ObjectInputStream.java:422)
> at
> org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:75)
> at
> org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:108)
> at
> org.apache.spark.rpc.netty.NettyRpcEnv$$anonfun$deserialize$1$$anonfun$apply$1.apply(NettyRpcEnv.scala:271)
> at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
> at
> org.apache.spark.rpc.netty.NettyRpcEnv.deserialize(NettyRpcEnv.scala:320)
> at
> org.apache.spark.rpc.netty.NettyRpcEnv$$anonfun$deserialize$1.apply(NettyRpcEnv.scala:270)
> at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
> at
> org.apache.spark.rpc.netty.NettyRpcEnv.deserialize(NettyRpcEnv.scala:269)
> at
> org.apache.spark.rpc.netty.RequestMessage$.apply(NettyRpcEnv.scala:604)
> at
> org.apache.spark.rpc.netty.NettyRpcHandler.internalReceive(NettyRpcEnv.scala:655)
> at
> org.apache.spark.rpc.netty.NettyRpcHandler.receive(NettyRpcEnv.scala:647)
> at
> org.apache.spark.network.server.TransportRequestHandler.processOneWayMessage(TransportRequestHandler.java:209)
> at
> org.apache.spark.network.server.TransportRequestHandler.handle(TransportRequestHandler.java:114)
> at
> org.apache.spark.network.server.TransportChannelHandler.channelRead(TransportChannelHandler.java:118)
> ...
> {code}
> This is quite ok and it can be read as version mismatch between the client
> and server, however there is no such a message on the client (spark-submit)
> side, so if the submitter doesn't have an access to the spark master or spark
> UI, there is no way to figure out what is wrong.
> I propose sending a {{RpcFailure}} message back from server to client with
> some more informative error. I'd use the {{OneWayMessage}} instead of
> {{RpcFailure}}, because there was no counterpart {{RpcRequest}}, but I had no
> luck sending it using the {{reverseClient.send()}}. I think some internal
> protocol is assumed when sending messages server2client.
> I have a patch prepared.
--
This message was sent by Atlassian JIRA
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[jira] [Assigned] (SPARK-22594) Handling spark-submit and master version mismatch
[
https://issues.apache.org/jira/browse/SPARK-22594?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-22594:
Assignee: Apache Spark
> Handling spark-submit and master version mismatch
> -
>
> Key: SPARK-22594
> URL: https://issues.apache.org/jira/browse/SPARK-22594
> Project: Spark
> Issue Type: Bug
> Components: Spark Core, Spark Shell, Spark Submit
>Affects Versions: 2.1.0, 2.2.0
>Reporter: Jiri Kremser
>Assignee: Apache Spark
>Priority: Minor
>
> When using spark-submit in different version than the remote Spark master,
> the execution fails on during the message deserialization with this log entry
> / exception:
> {code}
> Error while invoking RpcHandler#receive() for one-way message.
> java.io.InvalidClassException: org.apache.spark.rpc.RpcEndpointRef; local
> class incompatible: stream classdesc serialVersionUID = 1835832137613908542,
> local class serialVersionUID = -1329125091869941550
> at java.io.ObjectStreamClass.initNonProxy(ObjectStreamClass.java:616)
> at
> java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1843)
> at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1713)
> at
> java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1843)
> at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1713)
> at
> java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2000)
> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
> at
> java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2245)
> at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2169)
> at
> java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2027)
> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
> at java.io.ObjectInputStream.readObject(ObjectInputStream.java:422)
> at
> org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:75)
> at
> org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:108)
> at
> org.apache.spark.rpc.netty.NettyRpcEnv$$anonfun$deserialize$1$$anonfun$apply$1.apply(NettyRpcEnv.scala:271)
> at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
> at
> org.apache.spark.rpc.netty.NettyRpcEnv.deserialize(NettyRpcEnv.scala:320)
> at
> org.apache.spark.rpc.netty.NettyRpcEnv$$anonfun$deserialize$1.apply(NettyRpcEnv.scala:270)
> at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
> at
> org.apache.spark.rpc.netty.NettyRpcEnv.deserialize(NettyRpcEnv.scala:269)
> at
> org.apache.spark.rpc.netty.RequestMessage$.apply(NettyRpcEnv.scala:604)
> at
> org.apache.spark.rpc.netty.NettyRpcHandler.internalReceive(NettyRpcEnv.scala:655)
> at
> org.apache.spark.rpc.netty.NettyRpcHandler.receive(NettyRpcEnv.scala:647)
> at
> org.apache.spark.network.server.TransportRequestHandler.processOneWayMessage(TransportRequestHandler.java:209)
> at
> org.apache.spark.network.server.TransportRequestHandler.handle(TransportRequestHandler.java:114)
> at
> org.apache.spark.network.server.TransportChannelHandler.channelRead(TransportChannelHandler.java:118)
> ...
> {code}
> This is quite ok and it can be read as version mismatch between the client
> and server, however there is no such a message on the client (spark-submit)
> side, so if the submitter doesn't have an access to the spark master or spark
> UI, there is no way to figure out what is wrong.
> I propose sending a {{RpcFailure}} message back from server to client with
> some more informative error. I'd use the {{OneWayMessage}} instead of
> {{RpcFailure}}, because there was no counterpart {{RpcRequest}}, but I had no
> luck sending it using the {{reverseClient.send()}}. I think some internal
> protocol is assumed when sending messages server2client.
> I have a patch prepared.
--
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