Alexander Ulanov created SPARK-5386:
---------------------------------------
Summary: 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
--
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
