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Nicholas Chammas commented on SPARK-3528: ----------------------------------------- [~aash] - How about for data read from S3? I see that being marked as {{PROCESS_LOCAL}} as well. {code} >>> sc.textFile('s3n://...').count() 14/09/15 10:12:20 INFO TaskSetManager: Starting task 0.0 in stage 0.0 (TID 0, localhost, PROCESS_LOCAL, 1242 bytes) 14/09/15 10:12:20 INFO TaskSetManager: Starting task 1.0 in stage 0.0 (TID 1, localhost, PROCESS_LOCAL, 1242 bytes) {code} > Reading data from file:/// should be called NODE_LOCAL not PROCESS_LOCAL > ------------------------------------------------------------------------ > > Key: SPARK-3528 > URL: https://issues.apache.org/jira/browse/SPARK-3528 > Project: Spark > Issue Type: Bug > Components: Spark Core > Affects Versions: 1.1.0 > Reporter: Andrew Ash > > Note that reading from {{file:///.../pom.xml}} is called a PROCESS_LOCAL task > {noformat} > spark> sc.textFile("pom.xml").count > ... > 14/09/15 00:59:13 INFO TaskSetManager: Starting task 0.0 in stage 0.0 (TID 0, > localhost, PROCESS_LOCAL, 1191 bytes) > 14/09/15 00:59:13 INFO TaskSetManager: Starting task 1.0 in stage 0.0 (TID 1, > localhost, PROCESS_LOCAL, 1191 bytes) > 14/09/15 00:59:13 INFO Executor: Running task 0.0 in stage 0.0 (TID 0) > 14/09/15 00:59:13 INFO Executor: Running task 1.0 in stage 0.0 (TID 1) > 14/09/15 00:59:13 INFO HadoopRDD: Input split: > file:/Users/aash/git/spark/pom.xml:20862+20863 > 14/09/15 00:59:13 INFO HadoopRDD: Input split: > file:/Users/aash/git/spark/pom.xml:0+20862 > {noformat} > There is an outstanding TODO in {{HadoopRDD.scala}} that may be related: > {noformat} > override def getPreferredLocations(split: Partition): Seq[String] = { > // TODO: Filtering out "localhost" in case of file:// URLs > val hadoopSplit = split.asInstanceOf[HadoopPartition] > hadoopSplit.inputSplit.value.getLocations.filter(_ != "localhost") > } > {noformat} -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org