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https://issues.apache.org/jira/browse/BEAM-2093?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15986563#comment-15986563
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ASF GitHub Bot commented on BEAM-2093:
--------------------------------------
GitHub user elek opened a pull request:
https://github.com/apache/beam/pull/2737
[BEAM-2093] Use the jackson version from the maven property in maven …
…archetypes
This pull request enables the filtering for the maven example archetypes.
With a separated delimiter (@) we can separate the build time filtering
(@variable@) and archetype runtime filtering (${...}). With this solution we
can always use the right version from the jersey using the maven properties
from the parent pom.
---
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---
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/elek/beam BEAM-2093
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/beam/pull/2737.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #2737
----
commit 05d627c95febbb8dc4f83d9684571952c78f9778
Author: Elek, Márton <e...@users.noreply.github.com>
Date: 2017-04-27T12:52:05Z
[BEAM-2093] Use the jackson version from the maven property in maven
archetypes
----
> Update Jackson version to 2.8.8 in archetype (or align with parent pom)
> -----------------------------------------------------------------------
>
> Key: BEAM-2093
> URL: https://issues.apache.org/jira/browse/BEAM-2093
> Project: Beam
> Issue Type: Bug
> Components: project-management
> Reporter: Jean-Baptiste Onofré
> Assignee: Elek, Marton
> Fix For: First stable release
>
>
> The jackson version generated by the latest examples archetype is not
> compatible with the latest beam.
> Even to execute the plain word-count example (generated by the archetype):
> {code}
> mvn compile exec:java -Dexec.mainClass=org.apache.beam.examples.WordCount
> -Dexec.args="--inputFile=pom.xml --output=counts --runner=spark"
> -Pspark-runner
> {code}
> Is failing with:
> {code}
> 11:58:48.231 [main] INFO org.apache.spark.SparkContext - Successfully
> stopped SparkContext
> Exception in thread "main" java.lang.RuntimeException:
> java.lang.ExceptionInInitializerError
> at
> org.apache.beam.runners.spark.SparkPipelineResult.runtimeExceptionFrom(SparkPipelineResult.java:57)
> at
> org.apache.beam.runners.spark.SparkPipelineResult.beamExceptionFrom(SparkPipelineResult.java:74)
> at
> org.apache.beam.runners.spark.SparkPipelineResult.waitUntilFinish(SparkPipelineResult.java:110)
> at
> org.apache.beam.runners.spark.SparkPipelineResult.waitUntilFinish(SparkPipelineResult.java:98)
> at com.hortonworks.hcube.codestream.AsfStat.main(AsfStat.java:54)
> 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 com.intellij.rt.execution.application.AppMain.main(AppMain.java:147)
> Caused by: java.lang.ExceptionInInitializerError
> at org.apache.spark.rdd.RDD.withScope(RDD.scala:316)
> at org.apache.spark.rdd.RDD.mapPartitions(RDD.scala:706)
> at
> org.apache.spark.api.java.JavaRDDLike$class.mapPartitionsToPair(JavaRDDLike.scala:194)
> at
> org.apache.spark.api.java.AbstractJavaRDDLike.mapPartitionsToPair(JavaRDDLike.scala:46)
> at
> org.apache.beam.runners.spark.translation.TransformTranslator$6.evaluate(TransformTranslator.java:356)
> at
> org.apache.beam.runners.spark.translation.TransformTranslator$6.evaluate(TransformTranslator.java:340)
> at
> org.apache.beam.runners.spark.SparkRunner$Evaluator.doVisitTransform(SparkRunner.java:409)
> at
> org.apache.beam.runners.spark.SparkRunner$Evaluator.visitPrimitiveTransform(SparkRunner.java:395)
> at
> org.apache.beam.sdk.runners.TransformHierarchy$Node.visit(TransformHierarchy.java:488)
> at
> org.apache.beam.sdk.runners.TransformHierarchy$Node.visit(TransformHierarchy.java:483)
> at
> org.apache.beam.sdk.runners.TransformHierarchy$Node.visit(TransformHierarchy.java:483)
> at
> org.apache.beam.sdk.runners.TransformHierarchy$Node.visit(TransformHierarchy.java:483)
> at
> org.apache.beam.sdk.runners.TransformHierarchy$Node.access$400(TransformHierarchy.java:232)
> at
> org.apache.beam.sdk.runners.TransformHierarchy.visit(TransformHierarchy.java:207)
> at org.apache.beam.sdk.Pipeline.traverseTopologically(Pipeline.java:383)
> at org.apache.beam.runners.spark.SparkRunner$2.run(SparkRunner.java:210)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: com.fasterxml.jackson.databind.JsonMappingException: Incompatible
> Jackson version: 2.8.8
> at
> com.fasterxml.jackson.module.scala.JacksonModule$class.setupModule(JacksonModule.scala:64)
> at
> com.fasterxml.jackson.module.scala.DefaultScalaModule.setupModule(DefaultScalaModule.scala:19)
> at
> com.fasterxml.jackson.databind.ObjectMapper.registerModule(ObjectMapper.java:745)
> at
> org.apache.spark.rdd.RDDOperationScope$.<init>(RDDOperationScope.scala:81)
> at
> org.apache.spark.rdd.RDDOperationScope$.<clinit>(RDDOperationScope.scala)
> ... 21 more
> Add Comment
> {code}
> The longterm solution is to use filtering in the archetype and use the
> jackson version maven property.
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