spark-instrumented-optimizer/python/pyspark/tests/test_conf.py
hyukjinkwon 03306a6df3 [SPARK-26036][PYTHON] Break large tests.py files into smaller files
## What changes were proposed in this pull request?

This PR continues to break down a big large file into smaller files. See https://github.com/apache/spark/pull/23021. It targets to follow https://github.com/numpy/numpy/tree/master/numpy.

Basically this PR proposes to break down `pyspark/tests.py` into ...:

```
pyspark
...
├── testing
...
│   └── utils.py
├── tests
│   ├── __init__.py
│   ├── test_appsubmit.py
│   ├── test_broadcast.py
│   ├── test_conf.py
│   ├── test_context.py
│   ├── test_daemon.py
│   ├── test_join.py
│   ├── test_profiler.py
│   ├── test_rdd.py
│   ├── test_readwrite.py
│   ├── test_serializers.py
│   ├── test_shuffle.py
│   ├── test_taskcontext.py
│   ├── test_util.py
│   └── test_worker.py
...
```

## How was this patch tested?

Existing tests should cover.

`cd python` and .`/run-tests-with-coverage`. Manually checked they are actually being ran.

Each test (not officially) can be ran via:

```bash
SPARK_TESTING=1 ./bin/pyspark pyspark.tests.test_context
```

Note that if you're using Mac and Python 3, you might have to `OBJC_DISABLE_INITIALIZE_FORK_SAFETY=YES`.

Closes #23033 from HyukjinKwon/SPARK-26036.

Authored-by: hyukjinkwon <gurwls223@apache.org>
Signed-off-by: hyukjinkwon <gurwls223@apache.org>
2018-11-15 12:30:52 +08:00

44 lines
1.5 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 random
import unittest
from pyspark import SparkContext, SparkConf
class ConfTests(unittest.TestCase):
def test_memory_conf(self):
memoryList = ["1T", "1G", "1M", "1024K"]
for memory in memoryList:
sc = SparkContext(conf=SparkConf().set("spark.python.worker.memory", memory))
l = list(range(1024))
random.shuffle(l)
rdd = sc.parallelize(l, 4)
self.assertEqual(sorted(l), rdd.sortBy(lambda x: x).collect())
sc.stop()
if __name__ == "__main__":
from pyspark.tests.test_conf import *
try:
import xmlrunner
testRunner = xmlrunner.XMLTestRunner(output='target/test-reports')
except ImportError:
testRunner = None
unittest.main(testRunner=testRunner, verbosity=2)