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https://issues.apache.org/jira/browse/SPARK-5585?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Patrick Wendell updated SPARK-5585:
-----------------------------------
Labels: flaky-test (was: )
> Flaky test: Python regression
> -----------------------------
>
> Key: SPARK-5585
> URL: https://issues.apache.org/jira/browse/SPARK-5585
> Project: Spark
> Issue Type: Bug
> Components: MLlib
> Affects Versions: 1.3.0
> Reporter: Patrick Wendell
> Assignee: Davies Liu
> Priority: Critical
> Labels: flaky-test
>
> Hey [~davies] any chance you can take a look at this? The master build is
> having random python failures fairly often. Not quite sure what is going on:
> {code}
> 0inputs+128outputs (0major+13320minor)pagefaults 0swaps
> Run mllib tests ...
> Running test: pyspark/mllib/classification.py
> tput: No value for $TERM and no -T specified
> Spark assembly has been built with Hive, including Datanucleus jars on
> classpath
> 0.43user 0.12system 0:14.85elapsed 3%CPU (0avgtext+0avgdata 94272maxresident)k
> 0inputs+280outputs (0major+12627minor)pagefaults 0swaps
> Running test: pyspark/mllib/clustering.py
> tput: No value for $TERM and no -T specified
> Spark assembly has been built with Hive, including Datanucleus jars on
> classpath
> 0.35user 0.11system 0:12.63elapsed 3%CPU (0avgtext+0avgdata 93568maxresident)k
> 0inputs+88outputs (0major+12532minor)pagefaults 0swaps
> Running test: pyspark/mllib/feature.py
> tput: No value for $TERM and no -T specified
> Spark assembly has been built with Hive, including Datanucleus jars on
> classpath
> 0.28user 0.08system 0:05.73elapsed 6%CPU (0avgtext+0avgdata 93424maxresident)k
> 0inputs+32outputs (0major+12548minor)pagefaults 0swaps
> Running test: pyspark/mllib/linalg.py
> 0.16user 0.05system 0:00.22elapsed 98%CPU (0avgtext+0avgdata
> 89888maxresident)k
> 0inputs+0outputs (0major+8099minor)pagefaults 0swaps
> Running test: pyspark/mllib/rand.py
> tput: No value for $TERM and no -T specified
> Spark assembly has been built with Hive, including Datanucleus jars on
> classpath
> 0.25user 0.08system 0:05.42elapsed 6%CPU (0avgtext+0avgdata 87872maxresident)k
> 0inputs+0outputs (0major+11849minor)pagefaults 0swaps
> Running test: pyspark/mllib/recommendation.py
> tput: No value for $TERM and no -T specified
> Spark assembly has been built with Hive, including Datanucleus jars on
> classpath
> 0.32user 0.09system 0:11.42elapsed 3%CPU (0avgtext+0avgdata 94256maxresident)k
> 0inputs+32outputs (0major+11797minor)pagefaults 0swaps
> Running test: pyspark/mllib/regression.py
> tput: No value for $TERM and no -T specified
> Spark assembly has been built with Hive, including Datanucleus jars on
> classpath
> 0.53user 0.17system 0:23.53elapsed 3%CPU (0avgtext+0avgdata 99600maxresident)k
> 0inputs+48outputs (0major+12402minor)pagefaults 0swaps
> Running test: pyspark/mllib/stat/_statistics.py
> tput: No value for $TERM and no -T specified
> Spark assembly has been built with Hive, including Datanucleus jars on
> classpath
> 0.29user 0.09system 0:08.03elapsed 4%CPU (0avgtext+0avgdata 92656maxresident)k
> 0inputs+48outputs (0major+12508minor)pagefaults 0swaps
> Running test: pyspark/mllib/tree.py
> tput: No value for $TERM and no -T specified
> Spark assembly has been built with Hive, including Datanucleus jars on
> classpath
> 0.57user 0.16system 0:25.30elapsed 2%CPU (0avgtext+0avgdata 94400maxresident)k
> 0inputs+144outputs (0major+12600minor)pagefaults 0swaps
> Running test: pyspark/mllib/util.py
> tput: No value for $TERM and no -T specified
> Spark assembly has been built with Hive, including Datanucleus jars on
> classpath
> 0.20user 0.06system 0:08.08elapsed 3%CPU (0avgtext+0avgdata 92768maxresident)k
> 0inputs+56outputs (0major+12474minor)pagefaults 0swaps
> Running test: pyspark/mllib/tests.py
> tput: No value for $TERM and no -T specified
> Spark assembly has been built with Hive, including Datanucleus jars on
> classpath
> .........F/usr/lib64/python2.6/site-packages/numpy/core/fromnumeric.py:2499:
> VisibleDeprecationWarning: `rank` is deprecated; use the `ndim` attribute or
> function instead. To find the rank of a matrix see `numpy.linalg.matrix_rank`.
> VisibleDeprecationWarning)
> ./usr/lib64/python2.6/site-packages/numpy/core/fromnumeric.py:2499:
> VisibleDeprecationWarning: `rank` is deprecated; use the `ndim` attribute or
> function instead. To find the rank of a matrix see `numpy.linalg.matrix_rank`.
> VisibleDeprecationWarning)
> /usr/lib64/python2.6/site-packages/numpy/core/fromnumeric.py:2499:
> VisibleDeprecationWarning: `rank` is deprecated; use the `ndim` attribute or
> function instead. To find the rank of a matrix see `numpy.linalg.matrix_rank`.
> VisibleDeprecationWarning)
> /usr/lib64/python2.6/site-packages/numpy/core/fromnumeric.py:2499:
> VisibleDeprecationWarning: `rank` is deprecated; use the `ndim` attribute or
> function instead. To find the rank of a matrix see `numpy.linalg.matrix_rank`.
> VisibleDeprecationWarning)
> /usr/lib64/python2.6/site-packages/numpy/core/fromnumeric.py:2499:
> VisibleDeprecationWarning: `rank` is deprecated; use the `ndim` attribute or
> function instead. To find the rank of a matrix see `numpy.linalg.matrix_rank`.
> VisibleDeprecationWarning)
> ./usr/lib64/python2.6/site-packages/numpy/lib/utils.py:95:
> DeprecationWarning: `dot` is deprecated!
> warnings.warn(depdoc, DeprecationWarning)
> .............
> ======================================================================
> FAIL: test_regression (__main__.ListTests)
> ----------------------------------------------------------------------
> Traceback (most recent call last):
> File "pyspark/mllib/tests.py", line 289, in test_regression
> self.assertTrue(rf_model.predict(features[0]) <= 0)
> AssertionError: False is not true
> ----------------------------------------------------------------------
> Ran 25 tests in 53.798s
> {code}
> https://amplab.cs.berkeley.edu/jenkins/view/Spark/job/Spark-Master-SBT/AMPLAB_JENKINS_BUILD_PROFILE=hadoop1.0,label=centos/1496/console
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