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Posted to issues@spark.apache.org by "Andrew Or (JIRA)" <ji...@apache.org> on 2015/06/30 03:34:06 UTC
[jira] [Updated] (SPARK-8437) Using directory path without wildcard
for filename slow for large number of files with wholeTextFiles and
binaryFiles
[ https://issues.apache.org/jira/browse/SPARK-8437?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Andrew Or updated SPARK-8437:
-----------------------------
Fix Version/s: (was: 1.4.2)
(was: 1.5.0)
> Using directory path without wildcard for filename slow for large number of files with wholeTextFiles and binaryFiles
> ---------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-8437
> URL: https://issues.apache.org/jira/browse/SPARK-8437
> Project: Spark
> Issue Type: Bug
> Components: Input/Output
> Affects Versions: 1.3.1, 1.4.0
> Environment: Ubuntu 15.04 + local filesystem
> Amazon EMR + S3 + HDFS
> Reporter: Ewan Leith
> Assignee: Sean Owen
> Priority: Minor
>
> When calling wholeTextFiles or binaryFiles with a directory path with 10,000s of files in it, Spark hangs for a few minutes before processing the files.
> If you add a * to the end of the path, there is no delay.
> This happens for me on Spark 1.3.1 and 1.4 on the local filesystem, HDFS, and on S3.
> To reproduce, create a directory with 50,000 files in it, then run:
> val a = sc.binaryFiles("file:/path/to/files/")
> a.count()
> val b = sc.binaryFiles("file:/path/to/files/*")
> b.count()
> and monitor the different startup times.
> For example, in the spark-shell these commands are pasted in together, so the delay at f.count() is from 10:11:08 t- 10:13:29 to output "Total input paths to process : 49999", then until 10:15:42 to being processing files:
> scala> val f = sc.binaryFiles("file:/home/ewan/large/")
> 15/06/18 10:11:07 INFO MemoryStore: ensureFreeSpace(160616) called with curMem=0, maxMem=278019440
> 15/06/18 10:11:07 INFO MemoryStore: Block broadcast_0 stored as values in memory (estimated size 156.9 KB, free 265.0 MB)
> 15/06/18 10:11:08 INFO MemoryStore: ensureFreeSpace(17282) called with curMem=160616, maxMem=278019440
> 15/06/18 10:11:08 INFO MemoryStore: Block broadcast_0_piece0 stored as bytes in memory (estimated size 16.9 KB, free 265.0 MB)
> 15/06/18 10:11:08 INFO BlockManagerInfo: Added broadcast_0_piece0 in memory on localhost:40430 (size: 16.9 KB, free: 265.1 MB)
> 15/06/18 10:11:08 INFO SparkContext: Created broadcast 0 from binaryFiles at <console>:21
> f: org.apache.spark.rdd.RDD[(String, org.apache.spark.input.PortableDataStream)] = file:/home/ewan/large/ BinaryFileRDD[0] at binaryFiles at <console>:21
> scala> f.count()
> 15/06/18 10:13:29 INFO FileInputFormat: Total input paths to process : 49999
> 15/06/18 10:15:42 INFO FileInputFormat: Total input paths to process : 49999
> 15/06/18 10:15:42 INFO CombineFileInputFormat: DEBUG: Terminated node allocation with : CompletedNodes: 1, size left: 0
> 15/06/18 10:15:42 INFO SparkContext: Starting job: count at <console>:24
> 15/06/18 10:15:42 INFO DAGScheduler: Got job 0 (count at <console>:24) with 49999 output partitions (allowLocal=false)
> 15/06/18 10:15:42 INFO DAGScheduler: Final stage: ResultStage 0(count at <console>:24)
> 15/06/18 10:15:42 INFO DAGScheduler: Parents of final stage: List()
> Adding a * to the end of the path removes the delay:
> scala> val f = sc.binaryFiles("file:/home/ewan/large/*")
> 15/06/18 10:08:29 INFO MemoryStore: ensureFreeSpace(160616) called with curMem=0, maxMem=278019440
> 15/06/18 10:08:29 INFO MemoryStore: Block broadcast_0 stored as values in memory (estimated size 156.9 KB, free 265.0 MB)
> 15/06/18 10:08:29 INFO MemoryStore: ensureFreeSpace(17309) called with curMem=160616, maxMem=278019440
> 15/06/18 10:08:29 INFO MemoryStore: Block broadcast_0_piece0 stored as bytes in memory (estimated size 16.9 KB, free 265.0 MB)
> 15/06/18 10:08:29 INFO BlockManagerInfo: Added broadcast_0_piece0 in memory on localhost:42825 (size: 16.9 KB, free: 265.1 MB)
> 15/06/18 10:08:29 INFO SparkContext: Created broadcast 0 from binaryFiles at <console>:21
> f: org.apache.spark.rdd.RDD[(String, org.apache.spark.input.PortableDataStream)] = file:/home/ewan/large/* BinaryFileRDD[0] at binaryFiles at <console>:21
> scala> f.count()
> 15/06/18 10:08:32 INFO FileInputFormat: Total input paths to process : 49999
> 15/06/18 10:08:33 INFO FileInputFormat: Total input paths to process : 49999
> 15/06/18 10:08:35 INFO CombineFileInputFormat: DEBUG: Terminated node allocation with : CompletedNodes: 1, size left: 0
> 15/06/18 10:08:35 INFO SparkContext: Starting job: count at <console>:24
> 15/06/18 10:08:35 INFO DAGScheduler: Got job 0 (count at <console>:24) with 49999 output partitions
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