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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