mirror of
https://github.com/ClickHouse/ClickHouse.git
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362 lines
15 KiB
Python
Executable File
362 lines
15 KiB
Python
Executable File
#!/usr/bin/python3
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import argparse
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import clickhouse_driver
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import itertools
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import functools
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import math
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import os
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import pprint
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import random
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import re
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import statistics
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import string
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import sys
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import time
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import traceback
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import xml.etree.ElementTree as et
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from threading import Thread
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from scipy import stats
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def tsv_escape(s):
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return s.replace('\\', '\\\\').replace('\t', '\\t').replace('\n', '\\n').replace('\r','')
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parser = argparse.ArgumentParser(description='Run performance test.')
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# Explicitly decode files as UTF-8 because sometimes we have Russian characters in queries, and LANG=C is set.
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parser.add_argument('file', metavar='FILE', type=argparse.FileType('r', encoding='utf-8'), nargs=1, help='test description file')
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parser.add_argument('--host', nargs='*', default=['localhost'], help="Space-separated list of server hostname(s). Corresponds to '--port' options.")
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parser.add_argument('--port', nargs='*', default=[9000], help="Space-separated list of server port(s). Corresponds to '--host' options.")
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parser.add_argument('--runs', type=int, default=1, help='Number of query runs per server.')
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parser.add_argument('--max-queries', type=int, default=None, help='Test no more than this number of queries, chosen at random.')
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parser.add_argument('--queries-to-run', nargs='*', type=int, default=None, help='Space-separated list of indexes of queries to test.')
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parser.add_argument('--long', action='store_true', help='Do not skip the tests tagged as long.')
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parser.add_argument('--print-queries', action='store_true', help='Print test queries and exit.')
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parser.add_argument('--print-settings', action='store_true', help='Print test settings and exit.')
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args = parser.parse_args()
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test_name = os.path.splitext(os.path.basename(args.file[0].name))[0]
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tree = et.parse(args.file[0])
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root = tree.getroot()
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# Process query parameters
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subst_elems = root.findall('substitutions/substitution')
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available_parameters = {} # { 'table': ['hits_10m', 'hits_100m'], ... }
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for e in subst_elems:
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available_parameters[e.find('name').text] = [v.text for v in e.findall('values/value')]
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# Takes parallel lists of templates, substitutes them with all combos of
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# parameters. The set of parameters is determined based on the first list.
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# Note: keep the order of queries -- sometimes we have DROP IF EXISTS
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# followed by CREATE in create queries section, so the order matters.
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def substitute_parameters(query_templates, other_templates = []):
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query_results = []
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other_results = [[]] * (len(other_templates))
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for i, q in enumerate(query_templates):
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keys = set(n for _, n, _, _ in string.Formatter().parse(q) if n)
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values = [available_parameters[k] for k in keys]
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combos = itertools.product(*values)
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for c in combos:
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with_keys = dict(zip(keys, c))
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query_results.append(q.format(**with_keys))
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for j, t in enumerate(other_templates):
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other_results[j].append(t[i].format(**with_keys))
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if len(other_templates):
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return query_results, other_results
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else:
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return query_results
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# Build a list of test queries, substituting parameters to query templates,
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# and reporting the queries marked as short.
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test_queries = []
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is_short = []
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for e in root.findall('query'):
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new_queries, [new_is_short] = substitute_parameters([e.text], [[e.attrib.get('short', '0')]])
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test_queries += new_queries
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is_short += [eval(s) for s in new_is_short]
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assert(len(test_queries) == len(is_short))
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# If we're given a list of queries to run, check that it makes sense.
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for i in args.queries_to_run or []:
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if i < 0 or i >= len(test_queries):
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print(f'There is no query no. {i} in this test, only [{0}-{len(test_queries) - 1}] are present')
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exit(1)
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# If we're only asked to print the queries, do that and exit.
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if args.print_queries:
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for i in args.queries_to_run or range(0, len(test_queries)):
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print(test_queries[i])
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exit(0)
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# Print short queries
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for i, s in enumerate(is_short):
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if s:
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print(f'short\t{i}')
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# If we're only asked to print the settings, do that and exit. These are settings
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# for clickhouse-benchmark, so we print them as command line arguments, e.g.
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# '--max_memory_usage=10000000'.
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if args.print_settings:
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for s in root.findall('settings/*'):
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print(f'--{s.tag}={s.text}')
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exit(0)
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# Skip long tests
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if not args.long:
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for tag in root.findall('.//tag'):
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if tag.text == 'long':
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print('skipped\tTest is tagged as long.')
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sys.exit(0)
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# Print report threshold for the test if it is set.
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if 'max_ignored_relative_change' in root.attrib:
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print(f'report-threshold\t{root.attrib["max_ignored_relative_change"]}')
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# Open connections
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servers = [{'host': host, 'port': port} for (host, port) in zip(args.host, args.port)]
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all_connections = [clickhouse_driver.Client(**server) for server in servers]
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for s in servers:
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print('server\t{}\t{}'.format(s['host'], s['port']))
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# Run drop queries, ignoring errors. Do this before all other activity, because
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# clickhouse_driver disconnects on error (this is not configurable), and the new
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# connection loses the changes in settings.
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drop_query_templates = [q.text for q in root.findall('drop_query')]
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drop_queries = substitute_parameters(drop_query_templates)
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for conn_index, c in enumerate(all_connections):
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for q in drop_queries:
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try:
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c.execute(q)
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print(f'drop\t{conn_index}\t{c.last_query.elapsed}\t{tsv_escape(q)}')
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except:
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pass
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# Apply settings.
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# If there are errors, report them and continue -- maybe a new test uses a setting
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# that is not in master, but the queries can still run. If we have multiple
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# settings and one of them throws an exception, all previous settings for this
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# connection will be reset, because the driver reconnects on error (not
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# configurable). So the end result is uncertain, but hopefully we'll be able to
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# run at least some queries.
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settings = root.findall('settings/*')
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for conn_index, c in enumerate(all_connections):
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for s in settings:
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try:
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q = f"set {s.tag} = '{s.text}'"
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c.execute(q)
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print(f'set\t{conn_index}\t{c.last_query.elapsed}\t{tsv_escape(q)}')
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except:
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print(traceback.format_exc(), file=sys.stderr)
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# Check tables that should exist. If they don't exist, just skip this test.
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tables = [e.text for e in root.findall('preconditions/table_exists')]
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for t in tables:
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for c in all_connections:
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try:
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res = c.execute("select 1 from {} limit 1".format(t))
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except:
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exception_message = traceback.format_exception_only(*sys.exc_info()[:2])[-1]
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skipped_message = ' '.join(exception_message.split('\n')[:2])
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print(f'skipped\t{tsv_escape(skipped_message)}')
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sys.exit(0)
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# Run create and fill queries. We will run them simultaneously for both servers,
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# to save time.
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# The weird search is to keep the relative order of elements, which matters, and
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# etree doesn't support the appropriate xpath query.
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create_query_templates = [q.text for q in root.findall('./*') if q.tag in ('create_query', 'fill_query')]
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create_queries = substitute_parameters(create_query_templates)
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# Disallow temporary tables, because the clickhouse_driver reconnects on errors,
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# and temporary tables are destroyed. We want to be able to continue after some
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# errors.
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for q in create_queries:
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if re.search('create temporary table', q, flags=re.IGNORECASE):
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print(f"Temporary tables are not allowed in performance tests: '{q}'",
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file = sys.stderr)
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sys.exit(1)
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def do_create(connection, index, queries):
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for q in queries:
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connection.execute(q)
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print(f'create\t{index}\t{connection.last_query.elapsed}\t{tsv_escape(q)}')
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threads = [Thread(target = do_create, args = (connection, index, create_queries))
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for index, connection in enumerate(all_connections)]
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for t in threads:
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t.start()
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for t in threads:
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t.join()
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queries_to_run = range(0, len(test_queries))
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if args.max_queries:
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# If specified, test a limited number of queries chosen at random.
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queries_to_run = random.sample(range(0, len(test_queries)), min(len(test_queries), args.max_queries))
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if args.queries_to_run:
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# Run the specified queries.
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queries_to_run = args.queries_to_run
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# Run test queries.
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for query_index in queries_to_run:
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q = test_queries[query_index]
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query_prefix = f'{test_name}.query{query_index}'
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# We have some crazy long queries (about 100kB), so trim them to a sane
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# length. This means we can't use query text as an identifier and have to
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# use the test name + the test-wide query index.
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query_display_name = q
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if len(query_display_name) > 1000:
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query_display_name = f'{query_display_name[:1000]}...({query_index})'
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print(f'display-name\t{query_index}\t{tsv_escape(query_display_name)}')
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# Prewarm: run once on both servers. Helps to bring the data into memory,
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# precompile the queries, etc.
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# A query might not run on the old server if it uses a function added in the
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# new one. We want to run them on the new server only, so that the PR author
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# can ensure that the test works properly. Remember the errors we had on
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# each server.
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query_error_on_connection = [None] * len(all_connections);
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for conn_index, c in enumerate(all_connections):
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try:
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prewarm_id = f'{query_prefix}.prewarm0'
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# Will also detect too long queries during warmup stage
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res = c.execute(q, query_id = prewarm_id, settings = {'max_execution_time': 10})
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print(f'prewarm\t{query_index}\t{prewarm_id}\t{conn_index}\t{c.last_query.elapsed}')
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except KeyboardInterrupt:
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raise
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except:
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# FIXME the driver reconnects on error and we lose settings, so this
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# might lead to further errors or unexpected behavior.
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query_error_on_connection[conn_index] = traceback.format_exc();
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continue
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# Report all errors that ocurred during prewarm and decide what to do next.
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# If prewarm fails for the query on all servers -- skip the query and
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# continue testing the next query.
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# If prewarm fails on one of the servers, run the query on the rest of them.
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no_errors = []
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for i, e in enumerate(query_error_on_connection):
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if e:
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print(e, file = sys.stderr)
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else:
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no_errors.append(i)
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if len(no_errors) == 0:
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continue
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elif len(no_errors) < len(all_connections):
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print(f'partial\t{query_index}\t{no_errors}')
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this_query_connections = [all_connections[index] for index in no_errors]
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# Now, perform measured runs.
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# Track the time spent by the client to process this query, so that we can
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# notice the queries that take long to process on the client side, e.g. by
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# sending excessive data.
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start_seconds = time.perf_counter()
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server_seconds = 0
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profile_seconds = 0
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run = 0
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# Arrays of run times for each connection.
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all_server_times = []
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for conn_index, c in enumerate(this_query_connections):
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all_server_times.append([])
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while True:
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run_id = f'{query_prefix}.run{run}'
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for conn_index, c in enumerate(this_query_connections):
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try:
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res = c.execute(q, query_id = run_id)
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except Exception as e:
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# Add query id to the exception to make debugging easier.
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e.args = (run_id, *e.args)
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e.message = run_id + ': ' + e.message
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raise
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elapsed = c.last_query.elapsed
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all_server_times[conn_index].append(elapsed)
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server_seconds += elapsed
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print(f'query\t{query_index}\t{run_id}\t{conn_index}\t{elapsed}')
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if elapsed > 10:
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# Stop processing pathologically slow queries, to avoid timing out
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# the entire test task. This shouldn't really happen, so we don't
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# need much handling for this case and can just exit.
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print(f'The query no. {query_index} is taking too long to run ({elapsed} s)', file=sys.stderr)
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exit(2)
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# Be careful with the counter, after this line it's the next iteration
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# already.
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run += 1
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# Try to run any query for at least the specified number of times,
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# before considering other stop conditions.
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if run < args.runs:
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continue
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# For very short queries we have a special mode where we run them for at
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# least some time. The recommended lower bound of run time for "normal"
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# queries is about 0.1 s, and we run them about 10 times, giving the
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# time per query per server of about one second. Use this value as a
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# reference for "short" queries.
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if is_short[query_index]:
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if server_seconds >= 2 * len(this_query_connections):
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break
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# Also limit the number of runs, so that we don't go crazy processing
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# the results -- 'eqmed.sql' is really suboptimal.
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if run >= 500:
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break
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else:
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if run >= args.runs:
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break
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client_seconds = time.perf_counter() - start_seconds
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print(f'client-time\t{query_index}\t{client_seconds}\t{server_seconds}')
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#print(all_server_times)
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#print(stats.ttest_ind(all_server_times[0], all_server_times[1], equal_var = False).pvalue)
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# Run additional profiling queries to collect profile data, but only if test times appeared to be different.
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# We have to do it after normal runs because otherwise it will affect test statistics too much
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if len(all_server_times) == 2 and stats.ttest_ind(all_server_times[0], all_server_times[1], equal_var = False).pvalue < 0.1:
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run = 0
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while True:
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run_id = f'{query_prefix}.profile{run}'
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for conn_index, c in enumerate(this_query_connections):
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try:
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res = c.execute(q, query_id = run_id, settings = {'query_profiler_real_time_period_ns': 10000000})
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print(f'profile\t{query_index}\t{run_id}\t{conn_index}\t{c.last_query.elapsed}')
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except Exception as e:
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# Add query id to the exception to make debugging easier.
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e.args = (run_id, *e.args)
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e.message = run_id + ': ' + e.message
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raise
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elapsed = c.last_query.elapsed
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profile_seconds += elapsed
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run += 1
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# Don't spend too much time for profile runs
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if run > args.runs or profile_seconds > 10:
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break
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# And don't bother with short queries
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# Run drop queries
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drop_queries = substitute_parameters(drop_query_templates)
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for conn_index, c in enumerate(all_connections):
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for q in drop_queries:
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c.execute(q)
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print(f'drop\t{conn_index}\t{c.last_query.elapsed}\t{tsv_escape(q)}')
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