7c05f61514
## What changes were proposed in this pull request?
Currently, pretty skipped message added by f7435bec6a
mechanism seems not working when xmlrunner is installed apparently.
This PR fixes two things:
1. When `xmlrunner` is installed, seems `xmlrunner` does not respect `vervosity` level in unittests (default is level 1).
So the output looks as below
```
Running tests...
----------------------------------------------------------------------
SSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSS
----------------------------------------------------------------------
```
So it is not caught by our message detection mechanism.
2. If we manually set the `vervocity` level to `xmlrunner`, it prints messages as below:
```
test_mixed_udf (pyspark.sql.tests.test_pandas_udf_scalar.ScalarPandasUDFTests) ... SKIP (0.000s)
test_mixed_udf_and_sql (pyspark.sql.tests.test_pandas_udf_scalar.ScalarPandasUDFTests) ... SKIP (0.000s)
...
```
This is different in our Jenkins machine:
```
test_createDataFrame_column_name_encoding (pyspark.sql.tests.test_arrow.ArrowTests) ... skipped 'Pandas >= 0.23.2 must be installed; however, it was not found.'
test_createDataFrame_does_not_modify_input (pyspark.sql.tests.test_arrow.ArrowTests) ... skipped 'Pandas >= 0.23.2 must be installed; however, it was not found.'
...
```
Note that last `SKIP` is different. This PR fixes the regular expression to catch `SKIP` case as well.
## How was this patch tested?
Manually tested.
**Before:**
```
Starting test(python2.7): pyspark....
Finished test(python2.7): pyspark.... (0s)
...
Tests passed in 562 seconds
========================================================================
...
```
**After:**
```
Starting test(python2.7): pyspark....
Finished test(python2.7): pyspark.... (48s) ... 93 tests were skipped
...
Tests passed in 560 seconds
Skipped tests pyspark.... with python2.7:
pyspark...(...) ... SKIP (0.000s)
...
========================================================================
...
```
Closes #24927 from HyukjinKwon/SPARK-28130.
Authored-by: HyukjinKwon <gurwls223@apache.org>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
238 lines
9 KiB
Python
238 lines
9 KiB
Python
#
|
|
# Licensed to the Apache Software Foundation (ASF) under one or more
|
|
# contributor license agreements. See the NOTICE file distributed with
|
|
# this work for additional information regarding copyright ownership.
|
|
# The ASF licenses this file to You under the Apache License, Version 2.0
|
|
# (the "License"); you may not use this file except in compliance with
|
|
# the License. You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
#
|
|
import math
|
|
import sys
|
|
import unittest
|
|
|
|
from pyspark import serializers
|
|
from pyspark.serializers import *
|
|
from pyspark.serializers import CloudPickleSerializer, CompressedSerializer, \
|
|
AutoBatchedSerializer, BatchedSerializer, AutoSerializer, NoOpSerializer, PairDeserializer, \
|
|
FlattenedValuesSerializer, CartesianDeserializer
|
|
from pyspark.testing.utils import PySparkTestCase, read_int, write_int, ByteArrayOutput, \
|
|
have_numpy, have_scipy
|
|
|
|
|
|
class SerializationTestCase(unittest.TestCase):
|
|
|
|
def test_namedtuple(self):
|
|
from collections import namedtuple
|
|
from pickle import dumps, loads
|
|
P = namedtuple("P", "x y")
|
|
p1 = P(1, 3)
|
|
p2 = loads(dumps(p1, 2))
|
|
self.assertEqual(p1, p2)
|
|
|
|
from pyspark.cloudpickle import dumps
|
|
P2 = loads(dumps(P))
|
|
p3 = P2(1, 3)
|
|
self.assertEqual(p1, p3)
|
|
|
|
def test_itemgetter(self):
|
|
from operator import itemgetter
|
|
ser = CloudPickleSerializer()
|
|
d = range(10)
|
|
getter = itemgetter(1)
|
|
getter2 = ser.loads(ser.dumps(getter))
|
|
self.assertEqual(getter(d), getter2(d))
|
|
|
|
getter = itemgetter(0, 3)
|
|
getter2 = ser.loads(ser.dumps(getter))
|
|
self.assertEqual(getter(d), getter2(d))
|
|
|
|
def test_function_module_name(self):
|
|
ser = CloudPickleSerializer()
|
|
func = lambda x: x
|
|
func2 = ser.loads(ser.dumps(func))
|
|
self.assertEqual(func.__module__, func2.__module__)
|
|
|
|
def test_attrgetter(self):
|
|
from operator import attrgetter
|
|
ser = CloudPickleSerializer()
|
|
|
|
class C(object):
|
|
def __getattr__(self, item):
|
|
return item
|
|
d = C()
|
|
getter = attrgetter("a")
|
|
getter2 = ser.loads(ser.dumps(getter))
|
|
self.assertEqual(getter(d), getter2(d))
|
|
getter = attrgetter("a", "b")
|
|
getter2 = ser.loads(ser.dumps(getter))
|
|
self.assertEqual(getter(d), getter2(d))
|
|
|
|
d.e = C()
|
|
getter = attrgetter("e.a")
|
|
getter2 = ser.loads(ser.dumps(getter))
|
|
self.assertEqual(getter(d), getter2(d))
|
|
getter = attrgetter("e.a", "e.b")
|
|
getter2 = ser.loads(ser.dumps(getter))
|
|
self.assertEqual(getter(d), getter2(d))
|
|
|
|
# Regression test for SPARK-3415
|
|
def test_pickling_file_handles(self):
|
|
# to be corrected with SPARK-11160
|
|
try:
|
|
import xmlrunner
|
|
except ImportError:
|
|
ser = CloudPickleSerializer()
|
|
out1 = sys.stderr
|
|
out2 = ser.loads(ser.dumps(out1))
|
|
self.assertEqual(out1, out2)
|
|
|
|
def test_func_globals(self):
|
|
|
|
class Unpicklable(object):
|
|
def __reduce__(self):
|
|
raise Exception("not picklable")
|
|
|
|
global exit
|
|
exit = Unpicklable()
|
|
|
|
ser = CloudPickleSerializer()
|
|
self.assertRaises(Exception, lambda: ser.dumps(exit))
|
|
|
|
def foo():
|
|
sys.exit(0)
|
|
|
|
self.assertTrue("exit" in foo.__code__.co_names)
|
|
ser.dumps(foo)
|
|
|
|
def test_compressed_serializer(self):
|
|
ser = CompressedSerializer(PickleSerializer())
|
|
try:
|
|
from StringIO import StringIO
|
|
except ImportError:
|
|
from io import BytesIO as StringIO
|
|
io = StringIO()
|
|
ser.dump_stream(["abc", u"123", range(5)], io)
|
|
io.seek(0)
|
|
self.assertEqual(["abc", u"123", range(5)], list(ser.load_stream(io)))
|
|
ser.dump_stream(range(1000), io)
|
|
io.seek(0)
|
|
self.assertEqual(["abc", u"123", range(5)] + list(range(1000)), list(ser.load_stream(io)))
|
|
io.close()
|
|
|
|
def test_hash_serializer(self):
|
|
hash(NoOpSerializer())
|
|
hash(UTF8Deserializer())
|
|
hash(PickleSerializer())
|
|
hash(MarshalSerializer())
|
|
hash(AutoSerializer())
|
|
hash(BatchedSerializer(PickleSerializer()))
|
|
hash(AutoBatchedSerializer(MarshalSerializer()))
|
|
hash(PairDeserializer(NoOpSerializer(), UTF8Deserializer()))
|
|
hash(CartesianDeserializer(NoOpSerializer(), UTF8Deserializer()))
|
|
hash(CompressedSerializer(PickleSerializer()))
|
|
hash(FlattenedValuesSerializer(PickleSerializer()))
|
|
|
|
|
|
@unittest.skipIf(not have_scipy, "SciPy not installed")
|
|
class SciPyTests(PySparkTestCase):
|
|
|
|
"""General PySpark tests that depend on scipy """
|
|
|
|
def test_serialize(self):
|
|
from scipy.special import gammaln
|
|
|
|
x = range(1, 5)
|
|
expected = list(map(gammaln, x))
|
|
observed = self.sc.parallelize(x).map(gammaln).collect()
|
|
self.assertEqual(expected, observed)
|
|
|
|
|
|
@unittest.skipIf(not have_numpy, "NumPy not installed")
|
|
class NumPyTests(PySparkTestCase):
|
|
|
|
"""General PySpark tests that depend on numpy """
|
|
|
|
def test_statcounter_array(self):
|
|
import numpy as np
|
|
|
|
x = self.sc.parallelize([np.array([1.0, 1.0]), np.array([2.0, 2.0]), np.array([3.0, 3.0])])
|
|
s = x.stats()
|
|
self.assertSequenceEqual([2.0, 2.0], s.mean().tolist())
|
|
self.assertSequenceEqual([1.0, 1.0], s.min().tolist())
|
|
self.assertSequenceEqual([3.0, 3.0], s.max().tolist())
|
|
self.assertSequenceEqual([1.0, 1.0], s.sampleStdev().tolist())
|
|
|
|
stats_dict = s.asDict()
|
|
self.assertEqual(3, stats_dict['count'])
|
|
self.assertSequenceEqual([2.0, 2.0], stats_dict['mean'].tolist())
|
|
self.assertSequenceEqual([1.0, 1.0], stats_dict['min'].tolist())
|
|
self.assertSequenceEqual([3.0, 3.0], stats_dict['max'].tolist())
|
|
self.assertSequenceEqual([6.0, 6.0], stats_dict['sum'].tolist())
|
|
self.assertSequenceEqual([1.0, 1.0], stats_dict['stdev'].tolist())
|
|
self.assertSequenceEqual([1.0, 1.0], stats_dict['variance'].tolist())
|
|
|
|
stats_sample_dict = s.asDict(sample=True)
|
|
self.assertEqual(3, stats_dict['count'])
|
|
self.assertSequenceEqual([2.0, 2.0], stats_sample_dict['mean'].tolist())
|
|
self.assertSequenceEqual([1.0, 1.0], stats_sample_dict['min'].tolist())
|
|
self.assertSequenceEqual([3.0, 3.0], stats_sample_dict['max'].tolist())
|
|
self.assertSequenceEqual([6.0, 6.0], stats_sample_dict['sum'].tolist())
|
|
self.assertSequenceEqual(
|
|
[0.816496580927726, 0.816496580927726], stats_sample_dict['stdev'].tolist())
|
|
self.assertSequenceEqual(
|
|
[0.6666666666666666, 0.6666666666666666], stats_sample_dict['variance'].tolist())
|
|
|
|
|
|
class SerializersTest(unittest.TestCase):
|
|
|
|
def test_chunked_stream(self):
|
|
original_bytes = bytearray(range(100))
|
|
for data_length in [1, 10, 100]:
|
|
for buffer_length in [1, 2, 3, 5, 20, 99, 100, 101, 500]:
|
|
dest = ByteArrayOutput()
|
|
stream_out = serializers.ChunkedStream(dest, buffer_length)
|
|
stream_out.write(original_bytes[:data_length])
|
|
stream_out.close()
|
|
num_chunks = int(math.ceil(float(data_length) / buffer_length))
|
|
# length for each chunk, and a final -1 at the very end
|
|
exp_size = (num_chunks + 1) * 4 + data_length
|
|
self.assertEqual(len(dest.buffer), exp_size)
|
|
dest_pos = 0
|
|
data_pos = 0
|
|
for chunk_idx in range(num_chunks):
|
|
chunk_length = read_int(dest.buffer[dest_pos:(dest_pos + 4)])
|
|
if chunk_idx == num_chunks - 1:
|
|
exp_length = data_length % buffer_length
|
|
if exp_length == 0:
|
|
exp_length = buffer_length
|
|
else:
|
|
exp_length = buffer_length
|
|
self.assertEqual(chunk_length, exp_length)
|
|
dest_pos += 4
|
|
dest_chunk = dest.buffer[dest_pos:dest_pos + chunk_length]
|
|
orig_chunk = original_bytes[data_pos:data_pos + chunk_length]
|
|
self.assertEqual(dest_chunk, orig_chunk)
|
|
dest_pos += chunk_length
|
|
data_pos += chunk_length
|
|
# ends with a -1
|
|
self.assertEqual(dest.buffer[-4:], write_int(-1))
|
|
|
|
|
|
if __name__ == "__main__":
|
|
from pyspark.tests.test_serializers import *
|
|
|
|
try:
|
|
import xmlrunner
|
|
testRunner = xmlrunner.XMLTestRunner(output='target/test-reports', verbosity=2)
|
|
except ImportError:
|
|
testRunner = None
|
|
unittest.main(testRunner=testRunner, verbosity=2)
|