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Posted to dev@flink.apache.org by "Sebastian Klemke (JIRA)" <ji...@apache.org> on 2018/12/06 13:18:00 UTC
[jira] [Created] (FLINK-11086) flink-hadoop-compatibility tests
fail for 3.x hadoop versions
Sebastian Klemke created FLINK-11086:
----------------------------------------
Summary: flink-hadoop-compatibility tests fail for 3.x hadoop versions
Key: FLINK-11086
URL: https://issues.apache.org/jira/browse/FLINK-11086
Project: Flink
Issue Type: Bug
Components: YARN
Reporter: Sebastian Klemke
All builds using maven 3.2.5 on commithash ed8ff14ed39d08cd319efe75b40b9742a2ae7558.
Attempted builds:
- mvn clean install -Dhadoop.version=3.0.3
- mvn clean install -Dhadoop.version=3.1.1
Integration tests with Hadoop input format datasource fail. Example stack trace, taken from hadoop.version 3.1.1 build:
{code:java}
testJobCollectionExecution(org.apache.flink.test.hadoopcompatibility.mapred.WordCountMapredITCase) Time elapsed: 0.275 sec <<< ERR
OR!
java.lang.NoClassDefFoundError: org/apache/flink/hadoop/shaded/com/google/re2j/PatternSyntaxException
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:349)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
at org.apache.hadoop.fs.Globber.doGlob(Globber.java:210)
at org.apache.hadoop.fs.Globber.glob(Globber.java:149)
at org.apache.hadoop.fs.FileSystem.globStatus(FileSystem.java:2085)
at org.apache.hadoop.mapred.FileInputFormat.singleThreadedListStatus(FileInputFormat.java:269)
at org.apache.hadoop.mapred.FileInputFormat.listStatus(FileInputFormat.java:239)
at org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:325)
at org.apache.flink.api.java.hadoop.mapred.HadoopInputFormatBase.createInputSplits(HadoopInputFormatBase.java:150)
at org.apache.flink.api.java.hadoop.mapred.HadoopInputFormatBase.createInputSplits(HadoopInputFormatBase.java:58)
at org.apache.flink.api.common.operators.GenericDataSourceBase.executeOnCollections(GenericDataSourceBase.java:225)
at org.apache.flink.api.common.operators.CollectionExecutor.executeDataSource(CollectionExecutor.java:219)
at org.apache.flink.api.common.operators.CollectionExecutor.execute(CollectionExecutor.java:155)
at org.apache.flink.api.common.operators.CollectionExecutor.executeUnaryOperator(CollectionExecutor.java:229)
at org.apache.flink.api.common.operators.CollectionExecutor.execute(CollectionExecutor.java:149)
at org.apache.flink.api.common.operators.CollectionExecutor.executeUnaryOperator(CollectionExecutor.java:229)
at org.apache.flink.api.common.operators.CollectionExecutor.execute(CollectionExecutor.java:149)
at org.apache.flink.api.common.operators.CollectionExecutor.executeUnaryOperator(CollectionExecutor.java:229)
at org.apache.flink.api.common.operators.CollectionExecutor.execute(CollectionExecutor.java:149)
at org.apache.flink.api.common.operators.CollectionExecutor.executeUnaryOperator(CollectionExecutor.java:229)
at org.apache.flink.api.common.operators.CollectionExecutor.execute(CollectionExecutor.java:149)
at org.apache.flink.api.common.operators.CollectionExecutor.execute(CollectionExecutor.java:131)
at org.apache.flink.api.common.operators.CollectionExecutor.executeDataSink(CollectionExecutor.java:182)
at org.apache.flink.api.common.operators.CollectionExecutor.execute(CollectionExecutor.java:158)
at org.apache.flink.api.common.operators.CollectionExecutor.execute(CollectionExecutor.java:131)
at org.apache.flink.api.common.operators.CollectionExecutor.execute(CollectionExecutor.java:115)
at org.apache.flink.api.java.CollectionEnvironment.execute(CollectionEnvironment.java:38)
at org.apache.flink.test.util.CollectionTestEnvironment.execute(CollectionTestEnvironment.java:52)
at org.apache.flink.test.hadoopcompatibility.mapred.WordCountMapredITCase.internalRun(WordCountMapredITCase.java:121)
at org.apache.flink.test.hadoopcompatibility.mapred.WordCountMapredITCase.testProgram(WordCountMapredITCase.java:71)
{code}
Maybe hadoop 3.x versions could be added to test matrix as well?
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