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https://issues.apache.org/jira/browse/SPARK-3954?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Patrick Wendell updated SPARK-3954:
-----------------------------------
Summary: Optimization to FileInputDStream (was: promote the speed of
convert files to RDDS)
> Optimization to FileInputDStream
> --------------------------------
>
> Key: SPARK-3954
> URL: https://issues.apache.org/jira/browse/SPARK-3954
> Project: Spark
> Issue Type: Improvement
> Components: Streaming
> Affects Versions: 1.0.0, 1.1.0
> Reporter: 宿荣全
>
> about convert files to RDDS there are 3 loops with files sequence in spark
> source.
> loops files sequence:
> 1、files.map(...)
> 2、files.zip(fileRDDs)
> 3、files-size.foreach
> It's will very time consuming when lots of files.So I do the following
> correction:
> 3 loops with files sequence => only one loop
> spark source code:
> private def filesToRDD(files: Seq[String]): RDD[(K, V)] = {
> val fileRDDs = files.map(file => context.sparkContext.newAPIHadoopFile[K,
> V, F](file))
> files.zip(fileRDDs).foreach { case (file, rdd) => {
> if (rdd.partitions.size == 0) {
> logError("File " + file + " has no data in it. Spark Streaming can
> only ingest " +
> "files that have been \"moved\" to the directory assigned to the
> file stream. " +
> "Refer to the streaming programming guide for more details.")
> }
> }}
> new UnionRDD(context.sparkContext, fileRDDs)
> }
> //
> -----------------------------------------------------------------------------------
> modified code:
> private def filesToRDD(files: Seq[String]): RDD[(K, V)] = {
> val fileRDDs = for (file <- files; rdd =
> context.sparkContext.newAPIHadoopFile[K, V, F](file)) yield {
> if (rdd.partitions.size == 0) {
> logError("File " + file + " has no data in it. Spark Streaming can
> only ingest " +
> "files that have been \"moved\" to the directory assigned to the
> file stream. " +
> "Refer to the streaming programming guide for more details.")
> }
> rdd
> }
> new UnionRDD(context.sparkContext, fileRDDs)
> }
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