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Davor Bonaci commented on BEAM-1856: ------------------------------------ Thanks [~397090770] for this contribution! > HDFSFileSink class do not use the same configuration in master and slave > ------------------------------------------------------------------------ > > Key: BEAM-1856 > URL: https://issues.apache.org/jira/browse/BEAM-1856 > Project: Beam > Issue Type: Bug > Components: sdk-java-extensions > Affects Versions: 0.6.0 > Reporter: yangping wu > Assignee: yangping wu > > I have a code snippet as follow: > {code} > Read.Bounded<KV<LongWritable, Text>> from = > Read.from(HDFSFileSource.from(options.getInputFile(), TextInputFormat.class, > LongWritable.class, Text.class)); > PCollection<KV<LongWritable, Text>> data = p.apply(from); > data.apply(MapElements.via(new SimpleFunction<KV<LongWritable, Text>, > String>() { > @Override > public String apply(KV<LongWritable, Text> input) { > return input.getValue() + "\t" + input.getValue(); > } > })).apply(Write.to(HDFSFileSink.<String>toText(options.getOutputFile()))); > {code} > and submit job like this: > {code} > spark-submit --class org.apache.beam.examples.WordCountHDFS --master > yarn-client \ > ./target/word-count-beam-bundled-0.1.jar > \ > --runner=SparkRunner > \ > --inputFile=hdfs://master/tmp/input/ > \ > --outputFile=/tmp/output/ > {code} > Then {{HDFSFileSink.validate}} function will check whether the local > filesystem (not HDFS) exists {{/tmp/output/}} directory. > But the final result will store in {{hdfs://master/tmp/output/}} directory in > HDFS filesystem. > The reason is {{HDFSFileSink}} class do not use the same configuration in > master thread and slave thread. -- This message was sent by Atlassian JIRA (v6.3.15#6346)