[jira] [Created] (FLINK-10370) DistributedCache does not work in job cluster mode.

[Shang Yuanchun (Jira)]

Dawid Wysakowicz created FLINK-10370:
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             Summary: DistributedCache does not work in job cluster mode.
                 Key: FLINK-10370
                 URL: https://issues.apache.org/jira/browse/FLINK-10370
             Project: Flink
          Issue Type: Bug
          Components: Job-Submission
    Affects Versions: 1.6.0
            Reporter: Dawid Wysakowicz


When using job cluster mode the client does not follow a standard submission path during which {{DistributedCacheEntries}} are written into {{Configuration}}. Therefore the files cannot be accessed in the job.

How to reproduce:
Simple job that uses {{DistributedCache}}:
{code}
public class DistributedCacheViaDfsTestProgram {

        public static void main(String[] args) throws Exception {

                final ParameterTool params = ParameterTool.fromArgs(args);

                final String inputFile = "hdfs://172.17.0.2:8020/home/hadoop-user/in";
                final String outputFile = "/tmp/out";

                final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
                env.setParallelism(1);

                env.registerCachedFile(inputFile, "test_data", false);

                env.fromElements(1)
                        .map(new TestMapFunction())
                        .writeAsText(outputFile, FileSystem.WriteMode.OVERWRITE);

                env.execute("Distributed Cache Via Blob Test Program");
        }

        static class TestMapFunction extends RichMapFunction<Integer, String> {

                @Override
                public String map(Integer value) throws Exception {
                        final Path testFile = getRuntimeContext().getDistributedCache().getFile("test_data").toPath();

                        return Files.readAllLines(testFile)
                                .stream()
                                .collect(Collectors.joining("\n"));
                }
        }
}
{code}

If one runs this program e.g. in yarn job cluster mode this will produce:
{code}
java.lang.IllegalArgumentException: File with name 'test_data' is not available. Did you forget to register the file?
        at org.apache.flink.api.common.cache.DistributedCache.getFile(DistributedCache.java:110)
        at org.apache.flink.streaming.tests.DistributedCacheViaDfsTestProgram$TestMapFunction.map(DistributedCacheViaDfsTestProgram.java:59)
        at org.apache.flink.streaming.tests.DistributedCacheViaDfsTestProgram$TestMapFunction.map(DistributedCacheViaDfsTestProgram.java:55)
        at org.apache.flink.streaming.api.operators.StreamMap.processElement(StreamMap.java:41)
        at org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.pushToOperator(OperatorChain.java:579)
        at org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.collect(OperatorChain.java:554)
        at org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.collect(OperatorChain.java:534)
        at org.apache.flink.streaming.api.operators.AbstractStreamOperator$CountingOutput.collect(AbstractStreamOperator.java:689)
        at org.apache.flink.streaming.api.operators.AbstractStreamOperator$CountingOutput.collect(AbstractStreamOperator.java:667)
        at org.apache.flink.streaming.api.operators.StreamSourceContexts$NonTimestampContext.collect(StreamSourceContexts.java:104)
        at org.apache.flink.streaming.api.functions.source.FromElementsFunction.run(FromElementsFunction.java:164)
        at org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:87)
        at org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:56)
        at org.apache.flink.streaming.runtime.tasks.SourceStreamTask.run(SourceStreamTask.java:99)
        at org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:300)
        at org.apache.flink.runtime.taskmanager.Task.run(Task.java:711)
        at java.lang.Thread.run(Thread.java:748)
{code}

This job will run fine though, if it will be submitted to yarn-session cluster.



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