[SPARK-7721][INFRA] Run and generate test coverage report from Python via Jenkins

README.md

@@ -2,6 +2,7 @@
 
 [![Jenkins Build](https://amplab.cs.berkeley.edu/jenkins/job/spark-master-test-sbt-hadoop-2.7/badge/icon)](https://amplab.cs.berkeley.edu/jenkins/job/spark-master-test-sbt-hadoop-2.7)
 [![AppVeyor Build](https://img.shields.io/appveyor/ci/ApacheSoftwareFoundation/spark/master.svg?style=plastic&logo=appveyor)](https://ci.appveyor.com/project/ApacheSoftwareFoundation/spark)
+[![PySpark Coverage](https://img.shields.io/badge/dynamic/xml.svg?label=pyspark%20coverage&url=https%3A%2F%2Fspark-test.github.io%2Fpyspark-coverage-site&query=%2Fhtml%2Fbody%2Fdiv%5B1%5D%2Fdiv%2Fh1%2Fspan&colorB=brightgreen&style=plastic)](https://spark-test.github.io/pyspark-coverage-site)
 
 Spark is a fast and general cluster computing system for Big Data. It provides
 high-level APIs in Scala, Java, Python, and R, and an optimized engine that

dev/run-tests.py

@@ -25,6 +25,8 @@
 import re
 import sys
 import subprocess
+import glob
+import shutil
 from collections import namedtuple
 
 from sparktestsupport import SPARK_HOME, USER_HOME, ERROR_CODES
@@ -400,15 +402,66 @@ def run_scala_tests(build_tool, hadoop_version, test_modules, excluded_tags):
         run_scala_tests_sbt(test_modules, test_profiles)
 
 
-def run_python_tests(test_modules, parallelism):
+def run_python_tests(test_modules, parallelism, with_coverage=False):
     set_title_and_block("Running PySpark tests", "BLOCK_PYSPARK_UNIT_TESTS")
 
-    command = [os.path.join(SPARK_HOME, "python", "run-tests")]
+    if with_coverage:
+        # Coverage makes the PySpark tests flaky due to heavy parallelism.
+        # When we run PySpark tests with coverage, it uses 4 for now as
+        # workaround.
+        parallelism = 4
+        script = "run-tests-with-coverage"
+    else:
+        script = "run-tests"
+    command = [os.path.join(SPARK_HOME, "python", script)]
     if test_modules != [modules.root]:
         command.append("--modules=%s" % ','.join(m.name for m in test_modules))
     command.append("--parallelism=%i" % parallelism)
     run_cmd(command)
 
+    if with_coverage:
+        post_python_tests_results()
+
+
+def post_python_tests_results():
+    if "SPARK_TEST_KEY" not in os.environ:
+        print("[error] 'SPARK_TEST_KEY' environment variable was not set. Unable to post "
+              "PySpark coverage results.")
+        sys.exit(1)
+    spark_test_key = os.environ.get("SPARK_TEST_KEY")
+    # The steps below upload HTMLs to 'github.com/spark-test/pyspark-coverage-site'.
+    # 1. Clone PySpark coverage site.
+    run_cmd([
+        "git",
+        "clone",
+        "https://spark-test:%s@github.com/spark-test/pyspark-coverage-site.git" % spark_test_key])
+    # 2. Remove existing HTMLs.
+    run_cmd(["rm", "-fr"] + glob.glob("pyspark-coverage-site/*"))
+    # 3. Copy generated coverage HTMLs.
+    for f in glob.glob("%s/python/test_coverage/htmlcov/*" % SPARK_HOME):
+        shutil.copy(f, "pyspark-coverage-site/")
+    os.chdir("pyspark-coverage-site")
+    try:
+        # 4. Check out to a temporary branch.
+        run_cmd(["git", "symbolic-ref", "HEAD", "refs/heads/latest_branch"])
+        # 5. Add all the files.
+        run_cmd(["git", "add", "-A"])
+        # 6. Commit current HTMLs.
+        run_cmd([
+            "git",
+            "commit",
+            "-am",
+            "Coverage report at latest commit in Apache Spark",
+            '--author="Apache Spark Test Account <sparktestacc@gmail.com>"'])
+        # 7. Delete the old branch.
+        run_cmd(["git", "branch", "-D", "gh-pages"])
+        # 8. Rename the temporary branch to master.
+        run_cmd(["git", "branch", "-m", "gh-pages"])
+        # 9. Finally, force update to our repository.
+        run_cmd(["git", "push", "-f", "origin", "gh-pages"])
+    finally:
+        os.chdir("..")
+
 
 def run_python_packaging_tests():
     set_title_and_block("Running PySpark packaging tests", "BLOCK_PYSPARK_PIP_TESTS")
@@ -567,7 +620,11 @@ def main():
 
     modules_with_python_tests = [m for m in test_modules if m.python_test_goals]
     if modules_with_python_tests:
-        run_python_tests(modules_with_python_tests, opts.parallelism)
+        # We only run PySpark tests with coverage report in one specific job with
+        # Spark master with SBT in Jenkins.
+        is_sbt_master_job = "SPARK_MATER_SBT_HADOOP_2_7" in os.environ
+        run_python_tests(
+            modules_with_python_tests, opts.parallelism, with_coverage=is_sbt_master_job)
         run_python_packaging_tests()
     if any(m.should_run_r_tests for m in test_modules):
         run_sparkr_tests()

python/pyspark/streaming/tests/test_dstream.py

@@ -22,12 +22,16 @@
 import unittest
 from functools import reduce
 from itertools import chain
+import platform
 
 from pyspark import SparkConf, SparkContext, RDD
 from pyspark.streaming import StreamingContext
 from pyspark.testing.streamingutils import PySparkStreamingTestCase
 
 
+@unittest.skipIf(
+    "pypy" in platform.python_implementation().lower() and "COVERAGE_PROCESS_START" in os.environ,
+    "PyPy implementation causes to hang DStream tests forever when Coverage report is used.")
 class BasicOperationTests(PySparkStreamingTestCase):
 
     def test_map(self):
@@ -389,6 +393,9 @@ def failed_func(i):
         self.fail("a failed func should throw an error")
 
 
+@unittest.skipIf(
+    "pypy" in platform.python_implementation().lower() and "COVERAGE_PROCESS_START" in os.environ,
+    "PyPy implementation causes to hang DStream tests forever when Coverage report is used.")
 class WindowFunctionTests(PySparkStreamingTestCase):
 
     timeout = 15
@@ -466,6 +473,9 @@ def func(dstream):
         self._test_func(input, func, expected)
 
 
+@unittest.skipIf(
+    "pypy" in platform.python_implementation().lower() and "COVERAGE_PROCESS_START" in os.environ,
+    "PyPy implementation causes to hang DStream tests forever when Coverage report is used.")
 class CheckpointTests(unittest.TestCase):
 
     setupCalled = False