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From "Alexander Ulanov (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-5386) Reduce fails with vectors of big length
Date Fri, 23 Jan 2015 17:53:34 GMT

     [ https://issues.apache.org/jira/browse/SPARK-5386?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Alexander Ulanov updated SPARK-5386:
------------------------------------
    Description: 
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


  was:
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



> 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: 6 machine cluster (Xeon 3.3GHz 4 cores, 16GB RAM, Ubuntu), each
runs 2 Workers
> ./spark-shell --executor-memory 8G --driver-memory 8G
>            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



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