宿荣全 created SPARK-3954:
--------------------------
Summary: promote the speed of convert files to RDDS
Key: SPARK-3954
URL: https://issues.apache.org/jira/browse/SPARK-3954
Project: Spark
Issue Type: Improvement
Components: Input/Output
Affects Versions: 1.1.0, 1.0.0
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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