How to Get the file name for record in spark RDD (JavaRDD)

Question

I am loading multiple files into a JavaRDD using

JavaRDD<String> allLines = sc.textFile(hdfs://path/*.csv);

After loading the files I modify each record and want to save them. However I need to also save the original file name (ID) with the record for future reference. Is there anyway that I can get the original file name from the individual record in RDD? thanks

Answer 1

You can try to do something like in the following snippet:

JavaPairRDD<LongWritable, Text> javaPairRDD = sc.newAPIHadoopFile(
    "hdfs://path/*.csv", 
    TextInputFormat.class, 
    LongWritable.class, 
    Text.class, 
    new Configuration()
);
JavaNewHadoopRDD<LongWritable, Text> hadoopRDD = (JavaNewHadoopRDD) javaPairRDD;

JavaRDD<Tuple2<String, String>> namedLinesRDD = hadoopRDD.mapPartitionsWithInputSplit((inputSplit, lines) -> {
    FileSplit fileSplit = (FileSplit) inputSplit;
    String fileName = fileSplit.getPath().getName();

    Stream<Tuple2<String, String>> stream =
        StreamSupport.stream(Spliterators.spliteratorUnknownSize(lines, Spliterator.ORDERED), false)
            .map(line -> {
                String lineText = line._2().toString();
                // emit file name as key and line as a value
                return new Tuple2(fileName, lineText);
            });
    return stream.iterator();
}, true);

Update (for java7)

JavaRDD<Tuple2<String, String>> namedLinesRDD = hadoopRDD.mapPartitionsWithInputSplit(
    new Function2<InputSplit, Iterator<Tuple2<LongWritable, Text>>, Iterator<Tuple2<String, String>>>() {
        @Override
        public Iterator<Tuple2<String, String>> call(InputSplit inputSplit, final Iterator<Tuple2<LongWritable, Text>> lines) throws Exception {
            FileSplit fileSplit = (FileSplit) inputSplit;
            final String fileName = fileSplit.getPath().getName();
            return new Iterator<Tuple2<String, String>>() {
                @Override
                public boolean hasNext() {
                    return lines.hasNext();
                }
                @Override
                public Tuple2<String, String> next() {
                    Tuple2<LongWritable, Text> entry = lines.next();
                    return new Tuple2<String, String>(fileName, entry._2().toString());
                }
            };
        }
    }, 
    true
);

Answer 2

You want spark's wholeTextFiles function. From the documentation:

For example, if you have the following files:

   hdfs://a-hdfs-path/part-00000
   hdfs://a-hdfs-path/part-00001
   ...
   hdfs://a-hdfs-path/part-nnnnn

Do val rdd = sparkContext.wholeTextFile("hdfs://a-hdfs-path"),

then rdd contains

   (a-hdfs-path/part-00000, its content)
   (a-hdfs-path/part-00001, its content)
   ...
   (a-hdfs-path/part-nnnnn, its content)

It returns you an RDD of tuples where the left is the filename and the right is the content.