[
https://issues.apache.org/jira/browse/SPARK-5386?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14289679#comment-14289679
]
Shivaram Venkataraman commented on SPARK-5386:
----------------------------------------------
Couple of things that might be worth inspecting
1. It might be interesting to see if this is a problem in `reduce` or in the
`map` stage. i.e. Does running a count after the parallelize work ?
2. The error message indicates requesting around 2.3G of memory which seems to
indicate that a bunch of these vectors are being created at once ? It'd be
interesting to see what happens when say p = 2 in your script
> Reduce fails with vectors of big length
> ---------------------------------------
>
> Key: SPARK-5386
> URL: https://issues.apache.org/jira/browse/SPARK-5386
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 1.2.0
> Environment: Overall:
> 6 machine cluster (Xeon 3.3GHz 4 cores, 16GB RAM, Ubuntu), each runs 2 Workers
> Spark:
> ./spark-shell --executor-memory 8G --driver-memory 8G
> spark.driver.maxResultSize 0
> "java.io.tmpdir" and "spark.local.dir" set to a disk with a lot of free space
> Reporter: Alexander Ulanov
> Fix For: 1.3.0
>
>
> Code:
> import org.apache.spark.mllib.rdd.RDDFunctions._
> import breeze.linalg._
> import org.apache.log4j._
> Logger.getRootLogger.setLevel(Level.OFF)
> val n = 60000000
> val p = 12
> val vv = sc.parallelize(0 until p, p).map(i => DenseVector.rand[Double]( n ))
> vv.reduce(_ + _)
> When executing in shell it crashes after some period of time. One of the node
> contain the following in stdout:
> Java HotSpot(TM) 64-Bit Server VM warning: INFO:
> os::commit_memory(0x0000000755500000, 2863661056, 0) failed; error='Cannot
> allocate memory' (errno=12)
> #
> # There is insufficient memory for the Java Runtime Environment to continue.
> # Native memory allocation (malloc) failed to allocate 2863661056 bytes for
> committing reserved memory.
> # An error report file with more information is saved as:
> # /datac/spark/app-20150123091936-0000/89/hs_err_pid2247.log
> During the execution there is a message: Job aborted due to stage failure:
> Exception while getting task result: java.io.IOException: Connection from
> server-12.net/10.10.10.10:54701 closed
--
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
