HADOOP-11045. Introducing a tool to detect flaky tests of hadoop jenkins testing job. Contributed by Yongjun Zhang and Todd Lipcon.

(cherry picked from commit 80705e034b)

dev-support/determine-flaky-tests-hadoop.py

@@ -0,0 +1,204 @@
+#!/usr/bin/env 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.
+#
+# Given a jenkins test job, this script examines all runs of the job done
+# within specified period of time (number of days prior to the execution
+# time of this script), and reports all failed tests.
+#
+# The output of this script includes a section for each run that has failed
+# tests, with each failed test name listed.
+#
+# More importantly, at the end, it outputs a summary section to list all failed
+# tests within all examined runs, and indicate how many runs a same test
+# failed, and sorted all failed tests by how many runs each test failed.
+#
+# This way, when we see failed tests in PreCommit build, we can quickly tell
+# whether a failed test is a new failure, or it failed before and how often it
+# failed, so to have idea whether it may just be a flaky test.
+#
+# Of course, to be 100% sure about the reason of a test failure, closer look
+# at the failed test for the specific run is necessary.
+#
+import sys
+import platform
+sysversion = sys.hexversion
+onward30 = False
+if sysversion < 0x020600F0:
+  sys.exit("Minimum supported python version is 2.6, the current version is " +
+      "Python" + platform.python_version())
+
+if sysversion == 0x030000F0:
+  sys.exit("There is a known bug with Python" + platform.python_version() +
+      ", please try a different version");
+
+if sysversion < 0x03000000:
+  import urllib2
+else:
+  onward30 = True
+  import urllib.request
+
+import datetime
+import json as simplejson
+import logging
+from optparse import OptionParser
+import time
+
+# Configuration
+DEFAULT_JENKINS_URL = "https://builds.apache.org"
+DEFAULT_JOB_NAME = "Hadoop-Common-trunk"
+DEFAULT_NUM_PREVIOUS_DAYS = 14
+
+SECONDS_PER_DAY = 86400
+
+# total number of runs to examine
+numRunsToExamine = 0
+
+""" Parse arguments """
+def parse_args():
+  parser = OptionParser()
+  parser.add_option("-J", "--jenkins-url", type="string",
+                    dest="jenkins_url", help="Jenkins URL",
+                    default=DEFAULT_JENKINS_URL)
+  parser.add_option("-j", "--job-name", type="string",
+                    dest="job_name", help="Job name to look at",
+                    default=DEFAULT_JOB_NAME)
+  parser.add_option("-n", "--num-days", type="int",
+                    dest="num_prev_days", help="Number of days to examine",
+                    default=DEFAULT_NUM_PREVIOUS_DAYS)
+
+  (options, args) = parser.parse_args()
+  if args:
+    parser.error("unexpected arguments: " + repr(args))
+  return options
+
+""" Load data from specified url """
+def load_url_data(url):
+  if onward30:
+    ourl = urllib.request.urlopen(url)
+    codec = ourl.info().get_param('charset')
+    content = ourl.read().decode(codec)
+    data = simplejson.loads(content)
+  else:
+    ourl = urllib2.urlopen(url)
+    data = simplejson.load(ourl)
+  return data
+ 
+""" List all builds of the target project. """
+def list_builds(jenkins_url, job_name):
+  url = "%(jenkins)s/job/%(job_name)s/api/json?tree=builds[url,result,timestamp]" % dict(
+      jenkins=jenkins_url,
+      job_name=job_name)
+
+  try:
+    data = load_url_data(url)
+
+  except:
+    logging.error("Could not fetch: %s" % url)
+    raise
+  return data['builds']
+
+""" Find the names of any tests which failed in the given build output URL. """
+def find_failing_tests(testReportApiJson, jobConsoleOutput):
+  ret = set()
+  try:
+    data = load_url_data(testReportApiJson)
+
+  except:
+    logging.error("    Could not open testReport, check " +
+        jobConsoleOutput + " for why it was reported failed")
+    return ret
+
+  for suite in data['suites']:
+    for cs in suite['cases']:
+      status = cs['status']
+      errDetails = cs['errorDetails']
+      if (status == 'REGRESSION' or status == 'FAILED' or (errDetails is not None)):
+        ret.add(cs['className'] + "." + cs['name'])
+
+  if len(ret) == 0:
+    logging.info("    No failed tests in testReport, check " +
+        jobConsoleOutput + " for why it was reported failed.")
+  return ret
+
+""" Iterate runs of specfied job within num_prev_days and collect results """
+def find_flaky_tests(jenkins_url, job_name, num_prev_days):
+  global numRunsToExamine
+  all_failing = dict()
+  # First list all builds
+  builds = list_builds(jenkins_url, job_name)
+
+  # Select only those in the last N days
+  min_time = int(time.time()) - SECONDS_PER_DAY * num_prev_days
+  builds = [b for b in builds if (int(b['timestamp']) / 1000) > min_time]
+
+  # Filter out only those that failed
+  failing_build_urls = [(b['url'] , b['timestamp']) for b in builds
+      if (b['result'] in ('UNSTABLE', 'FAILURE'))]
+
+  tnum = len(builds)
+  num = len(failing_build_urls)
+  numRunsToExamine = tnum
+  logging.info("    THERE ARE " + str(num) + " builds (out of " + str(tnum)
+      + ") that have failed tests in the past " + str(num_prev_days) + " days"
+      + ((".", ", as listed below:\n")[num > 0]))
+
+  for failed_build_with_time in failing_build_urls:
+    failed_build = failed_build_with_time[0];
+    jobConsoleOutput = failed_build + "Console";
+    testReport = failed_build + "testReport";
+    testReportApiJson = testReport + "/api/json";
+
+    ts = float(failed_build_with_time[1]) / 1000.
+    st = datetime.datetime.fromtimestamp(ts).strftime('%Y-%m-%d %H:%M:%S')
+    logging.info("===>%s" % str(testReport) + " (" + st + ")")
+    failing = find_failing_tests(testReportApiJson, jobConsoleOutput)
+    if failing:
+      for ftest in failing:
+        logging.info("    Failed test: %s" % ftest)
+        all_failing[ftest] = all_failing.get(ftest,0)+1
+
+  return all_failing
+
+def main():
+  global numRunsToExamine
+  logging.basicConfig(format='%(levelname)s:%(message)s', level=logging.INFO)
+
+  # set up logger to write to stdout
+  soh = logging.StreamHandler(sys.stdout)
+  soh.setLevel(logging.INFO)
+  logger = logging.getLogger()
+  logger.removeHandler(logger.handlers[0])
+  logger.addHandler(soh)
+
+  opts = parse_args()
+  logging.info("****Recently FAILED builds in url: " + opts.jenkins_url
+      + "/job/" + opts.job_name + "")
+
+  all_failing = find_flaky_tests(opts.jenkins_url, opts.job_name,
+      opts.num_prev_days)
+  if len(all_failing) == 0:
+    raise SystemExit(0)
+  logging.info("\nAmong " + str(numRunsToExamine) + " runs examined, all failed "
+      + "tests <#failedRuns: testName>:")
+
+  # print summary section: all failed tests sorted by how many times they failed
+  for tn in sorted(all_failing, key=all_failing.get, reverse=True):
+    logging.info("    " + str(all_failing[tn])+ ": " + tn)
+
+if __name__ == "__main__":
+  main()

hadoop-common-project/hadoop-common/CHANGES.txt

@@ -28,6 +28,9 @@ Release 2.7.0 - UNRELEASED
     HADOOP-11490. Expose truncate API via FileSystem and shell command.
     (Milan Desai via shv)
 
+    HADOOP-11045. Introducing a tool to detect flaky tests of hadoop jenkins testing
+    job. (Yongjun Zhang and Todd Lipcon via ozawa)
+
   IMPROVEMENTS
 
     HADOOP-11483. HardLink.java should use the jdk7 createLink method (aajisaka)