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| author | Xiangrui Meng <meng@databricks.com> | 2016-06-02 17:41:31 -0700 |
|---|---|---|
| committer | Andrew Or <andrew@databricks.com> | 2016-06-02 17:41:31 -0700 |
| commit | e23370ec617c527ffa3a1f7d285ee2c4ffc51b77 (patch) | |
| tree | 268bc3b9b4f33c323fab453e4f6a17391c2cfe8b /mllib | |
| parent | f34aadc54ca1a9fd4236a928d342324b26fb3a12 (diff) | |
| download | spark-e23370ec617c527ffa3a1f7d285ee2c4ffc51b77.tar.gz spark-e23370ec617c527ffa3a1f7d285ee2c4ffc51b77.tar.bz2 spark-e23370ec617c527ffa3a1f7d285ee2c4ffc51b77.zip | |
[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 <meng@databricks.com>
Closes #13478 from mengxr/SPARK-15740.
Diffstat (limited to 'mllib')
| -rw-r--r-- | mllib/src/test/scala/org/apache/spark/mllib/feature/Word2VecSuite.scala | 2 |
1 files changed, 1 insertions, 1 deletions
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 6d699440f2..c9fb9768c1 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) |