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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