我有以下问题：假设我有一个包含压缩目录的目录,其中包含存储在HDFS上的多个文件.我想创建一个包含T类型对象的RDD,即：

context = new JavaSparkContext(conf);

JavaPairRDD filesRDD = context.wholeTextFiles(inputDataPath);

JavaPairRDD filesRDD = context.wholeTextFiles(inputDataPath);

JavaRDD processingFiles = filesRDD.map(fileNameContent -> {

// The name of the file

String fileName = fileNameContent._1();

// The content of the file

String content = fileNameContent._2();

// Class T has a constructor of taking the filename and the content of each

// processed file (as two strings)

T t = new T(content, fileName);

return t;

});

现在当inputDataPath是一个包含文件的目录时,这个工作完全正常,即它是这样的：

String inputDataPath = "hdfs://some_path/*/*/"; // because it contains subfolders

但是,当有一个包含多个文件的tgz时,文件内容(fileNameContent._2())会给我一些无用的二进制字符串(非常期待).我找到了一个similar question on SO,但情况不同,因为解决方案是每个压缩只包含一个文件,而在我的情况下,还有许多其他文件我想单独读取整个文件.我还找到了关于wholeTextFiles的question,但这在我的情况下不起作用.

任何想法如何做到这一点？

编辑：

我试着从here开始尝试(尝试从here开始测试读卡器,就像在函数testTarballWithFolders()中一样),但每当我打电话时

TarballReader tarballReader = new TarballReader(fileName);

我得到NullPointerException：

java.lang.NullPointerException

at java.util.zip.InflaterInputStream.(InflaterInputStream.java:83)

at java.util.zip.GZIPInputStream.(GZIPInputStream.java:77)

at java.util.zip.GZIPInputStream.(GZIPInputStream.java:91)

at utils.TarballReader.(TarballReader.java:61)

at main.SparkMain.lambda$0(SparkMain.java:105)

at main.SparkMain$$Lambda$18/1667100242.call(Unknown Source)

at org.apache.spark.api.java.JavaPairRDD$$anonfun$toScalaFunction$1.apply(JavaPairRDD.scala:1015)

at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)

at scala.collection.Iterator$class.foreach(Iterator.scala:727)

at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)

at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)

at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)

at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)

at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)

at scala.collection.AbstractIterator.to(Iterator.scala:1157)

at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)

at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)

at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)

at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)

at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:927)

at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:927)

at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1858)

at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1858)

at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)

at org.apache.spark.scheduler.Task.run(Task.scala:89)

at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)

at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)

at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)

at java.lang.Thread.run(Thread.java:745)

MainSpark中的第105行是我在帖子的编辑中显示的那一行,而来自TarballReader的第61行是

GZIPInputStream gzip = new GZIPInputStream(in);

它为上面的输入流提供了一个空值：

InputStream in = this.getClass().getResourceAsStream(tarball);

我在正确的道路上吗？如果是这样,我该如何继续？为什么我得到这个空值,我该如何解决？