spark-instrumented-optimizer/python/pyspark/resource/tests/test_resources.py
zero323 31a16fbb40 [SPARK-32714][PYTHON] Initial pyspark-stubs port
### What changes were proposed in this pull request?

This PR proposes migration of [`pyspark-stubs`](https://github.com/zero323/pyspark-stubs) into Spark codebase.

### Why are the changes needed?

### Does this PR introduce _any_ user-facing change?

Yes. This PR adds type annotations directly to Spark source.

This can impact interaction with development tools for users, which haven't used `pyspark-stubs`.

### How was this patch tested?

- [x] MyPy tests of the PySpark source
    ```
    mypy --no-incremental --config python/mypy.ini python/pyspark
    ```
- [x] MyPy tests of Spark examples
    ```
   MYPYPATH=python/ mypy --no-incremental --config python/mypy.ini examples/src/main/python/ml examples/src/main/python/sql examples/src/main/python/sql/streaming
    ```
- [x] Existing Flake8 linter

- [x] Existing unit tests

Tested against:

- `mypy==0.790+dev.e959952d9001e9713d329a2f9b196705b028f894`
- `mypy==0.782`

Closes #29591 from zero323/SPARK-32681.

Authored-by: zero323 <mszymkiewicz@gmail.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
2020-09-24 14:15:36 +09:00

83 lines
3.8 KiB
Python

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import unittest
from pyspark.resource import ExecutorResourceRequests, ResourceProfileBuilder,\
TaskResourceRequests
class ResourceProfileTests(unittest.TestCase):
def test_profile_before_sc(self):
rpb = ResourceProfileBuilder()
ereqs = ExecutorResourceRequests().cores(2).memory("6g").memoryOverhead("1g")
ereqs.pysparkMemory("2g").offheapMemory("3g").resource("gpu", 2, "testGpus", "nvidia.com")
treqs = TaskResourceRequests().cpus(2).resource("gpu", 2)
def assert_request_contents(exec_reqs, task_reqs):
self.assertEqual(len(exec_reqs), 6)
self.assertEqual(exec_reqs["cores"].amount, 2)
self.assertEqual(exec_reqs["memory"].amount, 6144)
self.assertEqual(exec_reqs["memoryOverhead"].amount, 1024)
self.assertEqual(exec_reqs["pyspark.memory"].amount, 2048)
self.assertEqual(exec_reqs["offHeap"].amount, 3072)
self.assertEqual(exec_reqs["gpu"].amount, 2)
self.assertEqual(exec_reqs["gpu"].discoveryScript, "testGpus")
self.assertEqual(exec_reqs["gpu"].resourceName, "gpu")
self.assertEqual(exec_reqs["gpu"].vendor, "nvidia.com")
self.assertEqual(len(task_reqs), 2)
self.assertEqual(task_reqs["cpus"].amount, 2.0)
self.assertEqual(task_reqs["gpu"].amount, 2.0)
assert_request_contents(ereqs.requests, treqs.requests)
rp = rpb.require(ereqs).require(treqs).build
assert_request_contents(rp.executorResources, rp.taskResources)
from pyspark import SparkContext, SparkConf
sc = SparkContext(conf=SparkConf())
rdd = sc.parallelize(range(10)).withResources(rp)
return_rp = rdd.getResourceProfile()
assert_request_contents(return_rp.executorResources, return_rp.taskResources)
# intermix objects created before SparkContext init and after
rpb2 = ResourceProfileBuilder()
# use reqs created before SparkContext with Builder after
rpb2.require(ereqs)
rpb2.require(treqs)
rp2 = rpb2.build
self.assertTrue(rp2.id > 0)
rdd2 = sc.parallelize(range(10)).withResources(rp2)
return_rp2 = rdd2.getResourceProfile()
assert_request_contents(return_rp2.executorResources, return_rp2.taskResources)
ereqs2 = ExecutorResourceRequests().cores(2).memory("6g").memoryOverhead("1g")
ereqs.pysparkMemory("2g").resource("gpu", 2, "testGpus", "nvidia.com")
treqs2 = TaskResourceRequests().cpus(2).resource("gpu", 2)
# use reqs created after SparkContext with Builder before
rpb.require(ereqs2)
rpb.require(treqs2)
rp3 = rpb.build
assert_request_contents(rp3.executorResources, rp3.taskResources)
sc.stop()
if __name__ == "__main__":
from pyspark.resource.tests.test_resources import * # noqa: F401
try:
import xmlrunner # type: ignore[import]
testRunner = xmlrunner.XMLTestRunner(output='target/test-reports', verbosity=2)
except ImportError:
testRunner = None
unittest.main(testRunner=testRunner, verbosity=2)