[jira] [Created] (SPARK-7155) SparkContext's newAPIHadoopFile does not support comma-separated list of files, but the other API hadoopFile does.

["Yong Tang (JIRA)" <ji...@apache.org>]

Yong Tang created SPARK-7155:
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             Summary: SparkContext's newAPIHadoopFile does not support comma-separated list of files, but the other API hadoopFile does.
                 Key: SPARK-7155
                 URL: https://issues.apache.org/jira/browse/SPARK-7155
             Project: Spark
          Issue Type: Bug
          Components: Spark Core
    Affects Versions: 1.3.1
         Environment: Ubuntu 14.04
            Reporter: Yong Tang


SparkContext's newAPIHadoopFile() does not support comma-separated list of files. For example, the following:

sc.newAPIHadoopFile("/root/file1.txt,/root/file2.txt", classOf[TextInputFormat], classOf[LongWritable], classOf[Text])

will throw

org.apache.hadoop.mapreduce.lib.input.InvalidInputException: Input path does not exist: file:/root/file1.txt,/root/file2.txt

However, the other API hadoopFile() is able to process comma-separated list of files correctly. In addition, since sc.textFile() uses hadoopFile(), it is also able to process comma-separated list of files correctly.

The problem is that newAPIHadoopFile() use addInputPath() to add the file path into NewHadoopRDD. See Ln 928-931, master branch:
    val job = new NewHadoopJob(conf)
    NewFileInputFormat.addInputPath(job, new Path(path))
    val updatedConf = job.getConfiguration
    new NewHadoopRDD(this, fClass, kClass, vClass, updatedConf).setName(path)

Change addInputPath(job, new Path(path)) to addInputPaths(job, path) will resolve this issue.



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