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authorfreeman <the.freeman.lab@gmail.com>2014-10-22 09:33:12 -0700
committerXiangrui Meng <meng@databricks.com>2014-10-22 09:33:12 -0700
commit97cf19f64e924569892e0a0417de19329855f4af (patch)
tree3252c2f54d296d8e79f97b2094a81cb5cf9cf0be /python/pyspark/tests.py
parentf05e09b4c95d799bdda3c3ff7fb76a4cd656415d (diff)
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Fix for sampling error in NumPy v1.9 [SPARK-3995][PYSPARK]
Change maximum value for default seed during RDD sampling so that it is strictly less than 2 ** 32. This prevents a bug in the most recent version of NumPy, which cannot accept random seeds above this bound. Adds an extra test that uses the default seed (instead of setting it manually, as in the docstrings). mengxr Author: freeman <the.freeman.lab@gmail.com> Closes #2889 from freeman-lab/pyspark-sampling and squashes the following commits: dc385ef [freeman] Change maximum value for default seed
Diffstat (limited to 'python/pyspark/tests.py')
-rw-r--r--python/pyspark/tests.py6
1 files changed, 6 insertions, 0 deletions
diff --git a/python/pyspark/tests.py b/python/pyspark/tests.py
index f5ccf31abb..1a8e4150e6 100644
--- a/python/pyspark/tests.py
+++ b/python/pyspark/tests.py
@@ -433,6 +433,12 @@ class RDDTests(ReusedPySparkTestCase):
os.unlink(tempFile.name)
self.assertRaises(Exception, lambda: filtered_data.count())
+ def test_sampling_default_seed(self):
+ # Test for SPARK-3995 (default seed setting)
+ data = self.sc.parallelize(range(1000), 1)
+ subset = data.takeSample(False, 10)
+ self.assertEqual(len(subset), 10)
+
def testAggregateByKey(self):
data = self.sc.parallelize([(1, 1), (1, 1), (3, 2), (5, 1), (5, 3)], 2)