Allow multithreaded indexing about spark-lucenerdd

[yeikel]

Is this still the case? If so , any chance you can point me in the right direction to try to implement this?

[zouzias]

I did an attempt in the past, but I didn't get any optimization.

If you want to try out, you need to change the following line of code

iterIndex.foreach { case elem =>
    // (implicitly) convert type T to Lucene document
    val doc = docConversion(elem)
    indexWriter.addDocument(FacetsConfig.build(taxoWriter, doc))
}

quoting from https://github.com/zouzias/spark-lucenerdd/blob/master/src/main/scala/org/zouzias/spark/lucenerdd/partition/LuceneRDDPartition.scala#L69

to be executed in parallel. Feel free to make a PR if you manage to make any improvements.

[yeikel]

I did an attempt in the past, but I didn't get any optimization.

Did you use any script to monitor the performance of this? Or how did you benchmark it?

[zouzias]

I checked the time to index wikipedia and to my surprise using multi-threading didn't help at all. It even made things worse.

I don't have any numbers to share unfortunately. I can try to find the DataFrame of wikipedia articles if you are interested to have a second look at it.

[yeikel]

Yes please

[zouzias]

I have the data on AWS S3, if you have an account sent me you AWS account ID and I will give you access