Thanks as always (we're getting a bit of a back log of issues as we're stretched in many different directions, so don't take lack of work as lack of interest!).

Just so I am clear, the idea would be that you'd have a command like:

  .map(r => (r.getArchiveFile, r.getCrawlDate, r.getDomain, r.getUrl, RemoveHTML(r.getContentString)))

Where getArchiveFile would then produce the WARC file string?

Hi, i am not sure I understand your question. here it is an example:

$ find /CC-MAIN-2016-36
/CC-MAIN-2016-36/segments/1471982931818.60/warc/CC-MAIN-20160823200851-00286-ip-10-153-172-175.ec2.internal.warc.gz
/CC-MAIN-2016-36/segments/1471982931818.60/warc/CC-MAIN-20160823200851-00140-ip-10-153-172-175.ec2.internal.warc.gz
...
/CC-MAIN-2016-36/segments/1471982292675.36/warc/CC-MAIN-20160823195812-00089-ip-10-153-172-175.ec2.internal.warc.gz
/CC-MAIN-2016-36/segments/1471982292675.36/warc/CC-MAIN-20160823195812-00190-ip-10-153-172-175.ec2.internal.warc.gz
...

RecordLoader.loadArchives("/CC-MAIN-2016-36", sc)
.foreach(r => println(r.getArchiveFile + "\t" + r.getUrl)


/CC-MAIN-2016-36/segments/1471982931818.60/warc/CC-MAIN-20160823200851-00286-ip-10-153-172-175.ec2.internal.warc.gz   http://example.com/p1.html
/CC-MAIN-2016-36/segments/1471982931818.60/warc/CC-MAIN-20160823200851-00286-ip-10-153-172-175.ec2.internal.warc.gz   http://example.com/p2.html
/CC-MAIN-2016-36/segments/1471982931818.60/warc/CC-MAIN-20160823200851-00286-ip-10-153-172-175.ec2.internal.warc.gz   http://example.com/p3.html
...
/CC-MAIN-2016-36/segments/1471982931818.60/warc/CC-MAIN-20160823200851-00140-ip-10-153-172-175.ec2.internal.warc.gz   http://example2.com/p1.html
/CC-MAIN-2016-36/segments/1471982931818.60/warc/CC-MAIN-20160823200851-00140-ip-10-153-172-175.ec2.internal.warc.gz   http://example2.com/p2.html
/CC-MAIN-2016-36/segments/1471982931818.60/warc/CC-MAIN-20160823200851-00140-ip-10-153-172-175.ec2.internal.warc.gz   http://example2.com/p3.html
...
/CC-MAIN-2016-36/segments/1471982292675.36/warc/CC-MAIN-20160823195812-00089-ip-10-153-172-175.ec2.internal.warc.gz   http://example3.com/p1.html

OK thanks for this. We are quite swamped right now but if you have a cycle we always enthusiastically look for pull requests too. 😄

I posted the feature request here, but I am not sure that it's useful for other people.
meanwhile, I have the following custom solution for my use case:

def readProcessAndSaveWithSameInputPaths[T](in: String, outDir: String, readAndProcessAndSaveFn: (SparkContext, String, String) => Unit, sc: SparkContext) {
  val files: Seq[String] = getWarcFiles(in)

  files.foreach { individualFileIn =>
    val outFile = Paths.get(outDir).resolve(Paths.get(in).relativize(Paths.get(individualFileIn)))
    Files.createDirectories(outFile.getParent)
    readAndProcessAndSaveFn(sc, individualFileIn, outFile.toString)
  }
}

def getWarcFiles(dir: String): Seq[String] =
  FileUtils.fileStream(new File(dir))
    .filter(f => f.getName.endsWith(".warc") || f.getName.endsWith(".warc.gz"))
    .map(_.getPath)


val sc = SparkUtils.initSpark(appName)

def readAndProcessAndSaveFn(sc: SparkContext, in: String, out: String) {
  RecordLoader.loadArchives(in, sc, keepValidPages = false)
    .map(_.getUrl)
    .saveAsTextFile(out)
}

readProcessAndSaveWithSameInputPaths(in, out = "/tmp", readAndProcessAndSaveFn, sc)

for the previous example, this would create the files:

/tmp/CC-MAIN-2016-36/segments/1471982931818.60/warc/CC-MAIN-20160823200851-00286-ip-10-153-172-175.ec2.internal.warc.gz/part-00000
/tmp/CC-MAIN-2016-36/segments/1471982931818.60/warc/CC-MAIN-20160823200851-00140-ip-10-153-172-175.ec2.internal.warc.gz/part-00000
...
/tmp/CC-MAIN-2016-36/segments/1471982292675.36/warc/CC-MAIN-20160823195812-00089-ip-10-153-172-175.ec2.internal.warc.gz/part-00000
/tmp/CC-MAIN-2016-36/segments/1471982292675.36/warc/CC-MAIN-20160823195812-00190-ip-10-153-172-175.ec2.internal.warc.gz/part-00000
...

which is actually even better for my needs.
one major problem with that is that it does not parallelise: it uses only one node and thread.
Replacing files.foreach by sc.parallelize(files).foreach complains that it cannot serialise that function (because it uses sc). Any idea of how to solve this?