[jira] [Created] (FLINK-4091) flink-connector-cassandra has conflicting guava version

["Dominik Bruhn (JIRA)" <ji...@apache.org>]

Dominik Bruhn created FLINK-4091:
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             Summary: flink-connector-cassandra has conflicting guava version
                 Key: FLINK-4091
                 URL: https://issues.apache.org/jira/browse/FLINK-4091
             Project: Flink
          Issue Type: Bug
          Components: Streaming Connectors
    Affects Versions: 1.1.0
         Environment: MacOSX, 1.10-SNAPSHOT (head is 1a6bab3ef76805685044cf4521e32315169f9033)
            Reporter: Dominik Bruhn


The newly merged cassandra streaming connector has an issue with its guava dependency.

The build-process for flink-connector-cassandra creates shaded JAR file which contains the connector, the datastax cassandra driver plus in org.apache.flink.shaded a shaded copy of guava. 

The datastax cassandra driver calls into Futures.withFallback ([1]) which is present in this guava version. This also works inside the flink-connector-cassandra jar.

Now the actual build-process for Flink happens and builds another shaded JAR and creates the flink-dist.jar. Inside this JAR, there is also a shaded version of guava inside org.apache.flink.shaded.

Now the issue: The guava version which is in the flink-dist.jar is not compatible and doesn't contain the Futures.withFallback which the datastax driver is using.

This leads into the following issue: You can without any problems launch a flink task which uses the casandra driver locally (so through the mini-cluster) because that is never using the flink-dist.jar. 

BUT: As soon as you are trying to start this job on a flink cluster (which uses the flink-dist.jar), the job breaks with the following exception:
https://gist.github.com/theomega/5ab9b14ffb516b15814de28e499b040d

[1]: https://google.github.io/guava/releases/19.0/api/docs/com/google/common/util/concurrent/Futures.html#withFallback(com.google.common.util.concurrent.ListenableFuture, com.google.common.util.concurrent.FutureFallback, java.util.concurrent.Executor)



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