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Date: Wed, 15 Feb 2017 08:08:41 +0000 (UTC)
From: "yangping wu (JIRA)" <jira@apache.org>
To: commits@beam.incubator.apache.org
Message-ID: <JIRA.13043188.1487146100000.84484.1487146121728@Atlassian.JIRA>
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Subject: [jira] [Created] (BEAM-1491) HDFSFileSource should be able to read
 the HADOOP_CONF(YARN_CONF) environmen variable
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archived-at: Wed, 15 Feb 2017 08:08:46 -0000

yangping wu created BEAM-1491:
---------------------------------

             Summary: HDFSFileSource should be able to read the HADOOP_CONF(YARN_CONF) environmen variable
                 Key: BEAM-1491
                 URL: https://issues.apache.org/jira/browse/BEAM-1491
             Project: Beam
          Issue Type: Improvement
          Components: sdk-java-core
    Affects Versions: 0.5.0
            Reporter: yangping wu
            Assignee: Davor Bonaci


Currently, if we want to read file store on HDFS, we will do it as follow:
{code} PCollection<KV<LongWritable, Text>> resultCollection = p.apply(HDFSFileSource.readFrom(
                "hdfs://hadoopserver:8020/tmp/data.txt",
                TextInputFormat.class, LongWritable.class, Text.class));
{code}
As we have seen above, we must be set {{hdfs://hadoopserver:8020}} in the file path, and we cann't set any variables when read file, because in [HDFSFileSource.java|https://github.com/apache/beam/blob/master/sdks/java/io/hdfs/src/main/java/org/apache/beam/sdk/io/hdfs/HDFSFileSource.java#L310] we initialize {{job}} instance as follow:
{code}
this.job = Job.getInstance();
{code}
we should initialize {{job}} instance by configure:
{code}
this.job = Job.getInstance(conf);
{code}
where {{conf}} is instance of {{Configuration}}, and we initialize {{conf}} by reading {{HADOOP_CONF}}({{YARN_CONF}}) environmen variable,then we can read HDFS file like this:
{code} PCollection<KV<LongWritable, Text>> resultCollection = p.apply(HDFSFileSource.readFrom(
                "/tmp/data.txt",
                TextInputFormat.class, LongWritable.class, Text.class));
{code}
note we don't specify {{hdfs://hadoopserver:8020}} prefix, because the program read it from  {{HADOOP_CONF}}({{YARN_CONF}}) environmen.


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