Repository: spark
Updated Branches:
  refs/heads/branch-2.0 1bce96db5 -> 0c721eedc


[SPARK-15740][MLLIB] ignore big model load / save in Word2VecSuite

## What changes were proposed in this pull request?

andrewor14 noticed some OOM errors caused by "test big model load / save" in 
Word2VecSuite, e.g., 
https://amplab.cs.berkeley.edu/jenkins/view/Spark%20QA%20Test/job/spark-master-test-maven-hadoop-2.2/1168/consoleFull.
 It doesn't show up in the test result because it was OOMed.

This PR disables the test. I will leave the JIRA open for a proper fix

## How was this patch tested?

No new features.

Author: Xiangrui Meng <m...@databricks.com>

Closes #13478 from mengxr/SPARK-15740.

(cherry picked from commit e23370ec617c527ffa3a1f7d285ee2c4ffc51b77)
Signed-off-by: Andrew Or <and...@databricks.com>


Project: http://git-wip-us.apache.org/repos/asf/spark/repo
Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/0c721eed
Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/0c721eed
Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/0c721eed

Branch: refs/heads/branch-2.0
Commit: 0c721eedcc8a20092e3867c4eacb1341c4cb1831
Parents: 1bce96d
Author: Xiangrui Meng <m...@databricks.com>
Authored: Thu Jun 2 17:41:31 2016 -0700
Committer: Andrew Or <and...@databricks.com>
Committed: Thu Jun 2 17:41:39 2016 -0700

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 .../test/scala/org/apache/spark/mllib/feature/Word2VecSuite.scala  | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)
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http://git-wip-us.apache.org/repos/asf/spark/blob/0c721eed/mllib/src/test/scala/org/apache/spark/mllib/feature/Word2VecSuite.scala
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diff --git 
a/mllib/src/test/scala/org/apache/spark/mllib/feature/Word2VecSuite.scala 
b/mllib/src/test/scala/org/apache/spark/mllib/feature/Word2VecSuite.scala
index 6d69944..c9fb976 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/feature/Word2VecSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/feature/Word2VecSuite.scala
@@ -91,7 +91,7 @@ class Word2VecSuite extends SparkFunSuite with 
MLlibTestSparkContext {
 
   }
 
-  test("big model load / save") {
+  ignore("big model load / save") {
     // create a model bigger than 32MB since 9000 * 1000 * 4 > 2^25
     val word2VecMap = Map((0 to 9000).map(i => s"$i" -> 
Array.fill(1000)(0.1f)): _*)
     val model = new Word2VecModel(word2VecMap)


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