1 files changed, 140 insertions, 0 deletions
diff --git a/scripts/simplebench/simplebench.py b/scripts/simplebench/simplebench.py
new file mode 100644
index 000000000..8efca2af9
--- /dev/null
+++ b/scripts/simplebench/simplebench.py
@@ -0,0 +1,140 @@
+#!/usr/bin/env python
+#
+# Simple benchmarking framework
+#
+# Copyright (c) 2019 Virtuozzo International GmbH.
+#
+# This program is free software; you can redistribute it and/or modify
+# it under the terms of the GNU General Public License as published by
+# the Free Software Foundation; either version 2 of the License, or
+# (at your option) any later version.
+#
+# This program is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+# GNU General Public License for more details.
+#
+# You should have received a copy of the GNU General Public License
+# along with this program.  If not, see <http://www.gnu.org/licenses/>.
+#
+
+import statistics
+import subprocess
+import time
+
+
+def do_drop_caches():
+    subprocess.run('sync; echo 3 > /proc/sys/vm/drop_caches', shell=True,
+                   check=True)
+
+
+def bench_one(test_func, test_env, test_case, count=5, initial_run=True,
+              slow_limit=100, drop_caches=False):
+    """Benchmark one test-case
+
+    test_func   -- benchmarking function with prototype
+                   test_func(env, case), which takes test_env and test_case
+                   arguments and on success returns dict with 'seconds' or
+                   'iops' (or both) fields, specifying the benchmark result.
+                   If both 'iops' and 'seconds' provided, the 'iops' is
+                   considered the main, and 'seconds' is just an additional
+                   info. On failure test_func should return {'error': str}.
+                   Returned dict may contain any other additional fields.
+    test_env    -- test environment - opaque first argument for test_func
+    test_case   -- test case - opaque second argument for test_func
+    count       -- how many times to call test_func, to calculate average
+    initial_run -- do initial run of test_func, which don't get into result
+    slow_limit  -- stop at slow run (that exceedes the slow_limit by seconds).
+                   (initial run is not measured)
+    drop_caches -- drop caches before each run
+
+    Returns dict with the following fields:
+        'runs':     list of test_func results
+        'dimension': dimension of results, may be 'seconds' or 'iops'
+        'average':  average value (iops or seconds) per run (exists only if at
+                    least one run succeeded)
+        'stdev':    standard deviation of results
+                    (exists only if at least one run succeeded)
+        'n-failed': number of failed runs (exists only if at least one run
+                    failed)
+    """
+    if initial_run:
+        print('  #initial run:')
+        do_drop_caches()
+        print('   ', test_func(test_env, test_case))
+
+    runs = []
+    for i in range(count):
+        t = time.time()
+
+        print('  #run {}'.format(i+1))
+        do_drop_caches()
+        res = test_func(test_env, test_case)
+        print('   ', res)
+        runs.append(res)
+
+        if time.time() - t > slow_limit:
+            print('    - run is too slow, stop here')
+            break
+
+    count = len(runs)
+
+    result = {'runs': runs}
+
+    succeeded = [r for r in runs if ('seconds' in r or 'iops' in r)]
+    if succeeded:
+        if 'iops' in succeeded[0]:
+            assert all('iops' in r for r in succeeded)
+            dim = 'iops'
+        else:
+            assert all('seconds' in r for r in succeeded)
+            assert all('iops' not in r for r in succeeded)
+            dim = 'seconds'
+        result['dimension'] = dim
+        result['average'] = statistics.mean(r[dim] for r in succeeded)
+        if len(succeeded) == 1:
+            result['stdev'] = 0
+        else:
+            result['stdev'] = statistics.stdev(r[dim] for r in succeeded)
+
+    if len(succeeded) < count:
+        result['n-failed'] = count - len(succeeded)
+
+    return result
+
+
+def bench(test_func, test_envs, test_cases, *args, **vargs):
+    """Fill benchmark table
+
+    test_func -- benchmarking function, see bench_one for description
+    test_envs -- list of test environments, see bench_one
+    test_cases -- list of test cases, see bench_one
+    args, vargs -- additional arguments for bench_one
+
+    Returns dict with the following fields:
+        'envs':  test_envs
+        'cases': test_cases
+        'tab':   filled 2D array, where cell [i][j] is bench_one result for
+                 test_cases[i] for test_envs[j] (i.e., rows are test cases and
+                 columns are test environments)
+    """
+    tab = {}
+    results = {
+        'envs': test_envs,
+        'cases': test_cases,
+        'tab': tab
+    }
+    n = 1
+    n_tests = len(test_envs) * len(test_cases)
+    for env in test_envs:
+        for case in test_cases:
+            print('Testing {}/{}: {} :: {}'.format(n, n_tests,
+                                                   env['id'], case['id']))
+            if case['id'] not in tab:
+                tab[case['id']] = {}
+            tab[case['id']][env['id']] = bench_one(test_func, env, case,
+                                                   *args, **vargs)
+            n += 1
+
+    print('Done')
+    return results