ClickHouse performance comparison
""" table_anchor = 0 row_anchor = 0 def nextTableAnchor(): global table_anchor table_anchor += 1 return str(table_anchor) def nextRowAnchor(): global row_anchor global table_anchor row_anchor += 1 return str(table_anchor) + "." + str(row_anchor) def tr(x): a = nextRowAnchor() #return '{title}
{}'.format(x) for x in [open('left-commit.txt').read(), open('right-commit.txt').read()]]]) except: # Don't fail if no commit info -- maybe it's a manual run. report_errors.append( traceback.format_exception_only( *sys.exc_info()[:2])[-1]) pass def print_report_errors(): global report_errors # Add the errors reported by various steps of comparison script try: report_errors += [l.strip() for l in open('report/errors.log')] except: report_errors.append( traceback.format_exception_only( *sys.exc_info()[:2])[-1]) pass if len(report_errors): print(tableStart('Errors while building the report')) print(tableHeader(['Error'])) for x in report_errors: print(tableRow([x])) print(tableEnd()) if args.report == 'main': print(header_template.format()) print_tested_commits() run_error_rows = tsvRows('run-errors.tsv') error_tests += len(run_error_rows) printSimpleTable('Run errors', ['Test', 'Error'], run_error_rows) slow_on_client_rows = tsvRows('report/slow-on-client.tsv') error_tests += len(slow_on_client_rows) printSimpleTable('Slow on client', ['Client time, s', 'Server time, s', 'Ratio', 'Test', 'Query'], slow_on_client_rows) unmarked_short_rows = tsvRows('report/unmarked-short-queries.tsv') error_tests += len(unmarked_short_rows) printSimpleTable('Short queries not marked as short', ['New client time, s', 'Test', '#', 'Query'], unmarked_short_rows) def print_partial(): rows = tsvRows('report/partial-queries-report.tsv') if not rows: return global unstable_partial_queries, slow_average_tests print(tableStart('Partial queries')) columns = ['Median time, s', 'Relative time variance', 'Test', '#', 'Query'] print(tableHeader(columns)) attrs = ['' for c in columns] for row in rows: if float(row[1]) > 0.10: attrs[1] = f'style="background: {color_bad}"' unstable_partial_queries += 1 else: attrs[1] = '' if float(row[0]) > allowed_single_run_time: attrs[0] = f'style="background: {color_bad}"' slow_average_tests += 1 else: attrs[0] = '' print(tableRow(row, attrs)) print(tableEnd()) print_partial() def print_changes(): rows = tsvRows('report/changed-perf.tsv') if not rows: return global faster_queries, slower_queries print(tableStart('Changes in performance')) columns = [ 'Old, s', # 0 'New, s', # 1 'Times speedup / slowdown', # 2 'Relative difference (new − old) / old', # 3 'p < 0.001 threshold', # 4 # Failed # 5 'Test', # 6 '#', # 7 'Query', # 8 ] print(tableHeader(columns)) attrs = ['' for c in columns] attrs[4] = None for row in rows: if int(row[5]): if float(row[3]) < 0.: faster_queries += 1 attrs[2] = attrs[3] = f'style="background: {color_good}"' else: slower_queries += 1 attrs[2] = attrs[3] = f'style="background: {color_bad}"' else: attrs[2] = attrs[3] = '' print(tableRow(row, attrs)) print(tableEnd()) print_changes() def print_unstable_queries(): global unstable_queries global very_unstable_queries unstable_rows = tsvRows('report/unstable-queries.tsv') if not unstable_rows: return unstable_queries += len(unstable_rows) columns = [ 'Old, s', #0 'New, s', #1 'Relative difference (new - old)/old', #2 'p < 0.001 threshold', #3 # Failed #4 'Test', #5 '#', #6 'Query' #7 ] print(tableStart('Unstable queries')) print(tableHeader(columns)) attrs = ['' for c in columns] attrs[4] = None for r in unstable_rows: if int(r[4]): very_unstable_queries += 1 attrs[3] = f'style="background: {color_bad}"' else: attrs[3] = '' print(tableRow(r, attrs)) print(tableEnd()) print_unstable_queries() skipped_tests_rows = tsvRows('analyze/skipped-tests.tsv') printSimpleTable('Skipped tests', ['Test', 'Reason'], skipped_tests_rows) printSimpleTable('Test performance changes', ['Test', 'Queries', 'Unstable', 'Changed perf', 'Total not OK', 'Avg relative time diff'], tsvRows('report/test-perf-changes.tsv')) def print_test_times(): global slow_average_tests rows = tsvRows('report/test-times.tsv') if not rows: return columns = [ 'Test', #0 'Wall clock time, s', #1 'Total client time, s', #2 'Total queries', #3 'Ignored short queries', #4 'Longest query
(sum for all runs), s', #5 'Avg wall clock time
(sum for all runs), s', #6 'Shortest query
(sum for all runs), s', #7 ] print(tableStart('Test times')) print(tableHeader(columns)) nominal_runs = 13 # FIXME pass this as an argument total_runs = (nominal_runs + 1) * 2 # one prewarm run, two servers attrs = ['' for c in columns] for r in rows: if float(r[6]) > 1.5 * total_runs: # FIXME should be 15s max -- investigate parallel_insert slow_average_tests += 1 attrs[6] = f'style="background: {color_bad}"' else: attrs[6] = '' if float(r[5]) > allowed_single_run_time * total_runs: slow_average_tests += 1 attrs[5] = f'style="background: {color_bad}"' else: attrs[5] = '' print(tableRow(r, attrs)) print(tableEnd()) print_test_times() def print_benchmark_results(): if not os.path.isfile('benchmark/website-left.json'): return json_reports = [json.load(open(f'benchmark/website-{x}.json')) for x in ['left', 'right']] stats = [next(iter(x.values()))["statistics"] for x in json_reports] qps = [x["QPS"] for x in stats] queries = [x["num_queries"] for x in stats] errors = [x["num_errors"] for x in stats] relative_diff = (qps[1] - qps[0]) / max(0.01, qps[0]); times_diff = max(qps) / max(0.01, min(qps)) all_rows = [] header = ['Benchmark', 'Metric', 'Old', 'New', 'Relative difference', 'Times difference']; attrs = ['' for x in header] row = ['website', 'queries', f'{queries[0]:d}', f'{queries[1]:d}', '--', '--'] attrs[0] = 'rowspan=2' all_rows.append([row, attrs]) attrs = ['' for x in header] row = [None, 'queries/s', f'{qps[0]:.3f}', f'{qps[1]:.3f}', f'{relative_diff:.3f}', f'x{times_diff:.3f}'] if abs(relative_diff) > 0.1: # More queries per second is better. if relative_diff > 0.: attrs[4] = f'style="background: {color_good}"' else: attrs[4] = f'style="background: {color_bad}"' else: attrs[4] = '' all_rows.append([row, attrs]); if max(errors): all_rows[0][1][0] = "rowspan=3" row = [''] * (len(header)) attrs = ['' for x in header] attrs[0] = None row[1] = 'errors' row[2] = f'{errors[0]:d}' row[3] = f'{errors[1]:d}' row[4] = '--' row[5] = '--' if errors[0]: attrs[2] += f' style="background: {color_bad}" ' if errors[1]: attrs[3] += f' style="background: {color_bad}" ' all_rows.append([row, attrs]) print(tableStart('Concurrent benchmarks')) print(tableHeader(header)) for row, attrs in all_rows: print(tableRow(row, attrs)) print(tableEnd()) try: print_benchmark_results() except: report_errors.append( traceback.format_exception_only( *sys.exc_info()[:2])[-1]) pass printSimpleTable('Metric changes', ['Metric', 'Old median value', 'New median value', 'Relative difference', 'Times difference'], tsvRows('metrics/changes.tsv')) print_report_errors() print("""