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single_node_perf_run.py produce a single text file containing all runtime profiles from perf run from one git hash. This is handy, but the resulting text file can be very long and makes it difficult to analyze individual profile. This patch add --split_profiles and --no_split_profiles option into single_node_perf_run.py. If --split_profiles is specified, it it will extract runtime profiles into individual file instead of single long text file. Specifying --no_split_profiles will retain the old behavior of putting runtime profiles into a single-combined text file. Default to split profiles if neither is specified. Files in profile directory will look like this with --split_profiles: $ ls -1 perf_results/latest/2267d9d104cc3fb0740cba09acb369b4d7ae4f52_profiles/ TPCDS-Q14-1_iter001.txt TPCDS-Q14-1_iter002.txt TPCDS-Q14-1_iter003.txt TPCDS-Q14-2_iter001.txt TPCDS-Q14-2_iter002.txt TPCDS-Q14-2_iter003.txt TPCDS-Q23-1_iter001.txt TPCDS-Q23-1_iter002.txt TPCDS-Q23-1_iter003.txt TPCDS-Q23-2_iter001.txt TPCDS-Q23-2_iter002.txt TPCDS-Q23-2_iter003.txt Testing: - Manually test run the script with selected queries from tpcds workload with either --split_profiles or --no_split_profiles. Change-Id: Ibc2d3cefd7ad61b76cbef74c734543ef9ca51795 Reviewed-on: http://gerrit.cloudera.org:8080/19796 Reviewed-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com> Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
409 lines
16 KiB
Python
Executable File
409 lines
16 KiB
Python
Executable File
#!/usr/bin/env impala-python
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#
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# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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# Usage:
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# single_node_perf_run.py [options] git_hash_A [git_hash_B]
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#
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# When one hash is given, measures the performance on the specified workloads.
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# When two hashes are given, compares their performance. Output is in
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# $IMPALA_HOME/perf_results/latest. In the performance_result.txt file,
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# git_hash_A is referred to as the "Base" result. For example, if you run with
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# git_hash_A = aBad1dea... and git_hash_B = 8675309... the
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# performance_result.txt will say at the top:
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#
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# Run Description: "aBad1dea... vs 8675309..."
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#
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# The different queries will have their run time statistics in columns
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# "Avg(s)", "StdDev(%)", "BaseAvg(s)", "Base StdDev(%)". The first two refer
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# to git_hash_B, the second two refer to git_hash_A. The column "Delta(Avg)"
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# is negative if git_hash_B is faster and is positive if git_hash_A is faster.
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#
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# To run this script against data stored in Kudu, set '--table_formats=kudu/none/none'.
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#
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# For a given workload, the target database used will be:
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# '[workload-name][scale-factor]_[table_format]'. Typically, on the first run of this
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# script the target database will not exist. The --load option will be needed to load
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# the database.
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#
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# WARNING: This script will run git checkout. You should not touch the tree
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# while the script is running. You should start the script from a clean git
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# tree.
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#
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# WARNING: When --load is used, this script calls load_data.py which can
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# overwrite your TPC-H and TPC-DS data.
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#
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# Options:
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# -h, --help show this help message and exit
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# --workloads=WORKLOADS
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# comma-separated list of workloads. Choices: tpch,
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# targeted-perf, tpcds. Default: targeted-perf
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# --scale=SCALE scale factor for the workloads [required]
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# --iterations=ITERATIONS
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# number of times to run each query
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# --table_formats=TABLE_FORMATS
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# comma-separated list of table formats. Default:
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# parquet/none
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# --num_impalads=NUM_IMPALADS
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# number of impalads. Default: 1
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# --query_names=QUERY_NAMES
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# comma-separated list of regular expressions. A query
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# is executed if it matches any regular expression in
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# this list
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# --load load databases for the chosen workloads
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# --start_minicluster start a new Hadoop minicluster
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# --ninja use ninja, rather than Make, as the build tool
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from __future__ import absolute_import, division, print_function
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from builtins import range
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from optparse import OptionParser
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from tempfile import mkdtemp
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import json
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import os
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import pipes
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import sh
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import shutil
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import subprocess
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import sys
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import textwrap
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from tests.common.test_dimensions import TableFormatInfo
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IMPALA_HOME = os.environ["IMPALA_HOME"]
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def configured_call(cmd):
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"""Call a command in a shell with config-impala.sh."""
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if type(cmd) is list:
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cmd = " ".join([pipes.quote(arg) for arg in cmd])
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cmd = "source {0}/bin/impala-config.sh && {1}".format(IMPALA_HOME, cmd)
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return subprocess.check_call(["bash", "-c", cmd])
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def load_data(db_to_load, table_formats, scale):
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"""Loads a database with a particular scale factor."""
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configured_call(["{0}/bin/load-data.py".format(IMPALA_HOME),
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"--workloads", db_to_load, "--scale_factor", str(scale),
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"--table_formats", "text/none," + table_formats])
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for table_format in table_formats.split(","):
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suffix = TableFormatInfo.create_from_string(None, table_format).db_suffix()
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db_name = db_to_load + scale + suffix
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configured_call(["{0}/tests/util/compute_table_stats.py".format(IMPALA_HOME),
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"--stop_on_error", "--db_names", db_name])
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def get_git_hash_for_name(name):
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return sh.git("rev-parse", name).strip()
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def build(git_hash, options):
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"""Builds Impala in release mode; doesn't build tests."""
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sh.git.checkout(git_hash)
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buildall = ["{0}/buildall.sh".format(IMPALA_HOME), "-notests", "-release", "-noclean"]
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if options.ninja:
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buildall += ["-ninja"]
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configured_call(buildall)
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def start_minicluster():
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configured_call(["{0}/bin/create-test-configuration.sh".format(IMPALA_HOME)])
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configured_call(["{0}/testdata/bin/run-all.sh".format(IMPALA_HOME)])
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def start_impala(num_impalads, options):
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configured_call(["{0}/bin/start-impala-cluster.py".format(IMPALA_HOME), "-s",
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str(num_impalads), "-c", str(num_impalads)] +
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["--impalad_args={0}".format(arg) for arg in options.impalad_args])
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def run_workload(base_dir, workloads, options):
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"""Runs workload with the given options.
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Returns the git hash of the current revision to identify the output file.
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"""
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git_hash = get_git_hash_for_name("HEAD")
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run_workload = ["{0}/bin/run-workload.py".format(IMPALA_HOME)]
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impalads = ",".join(["localhost:{0}".format(21000 + i)
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for i in range(0, int(options.num_impalads))])
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run_workload += ["--workloads={0}".format(workloads),
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"--impalads={0}".format(impalads),
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"--results_json_file={0}/{1}.json".format(base_dir, git_hash),
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"--query_iterations={0}".format(options.iterations),
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"--table_formats={0}".format(options.table_formats),
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"--plan_first"]
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if options.query_names:
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run_workload += ["--query_names={0}".format(options.query_names)]
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configured_call(run_workload)
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def report_benchmark_results(file_a, file_b, description):
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"""Wrapper around report_benchmark_result.py."""
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result = "{0}/perf_results/latest/performance_result.txt".format(IMPALA_HOME)
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with open(result, "w") as f:
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subprocess.check_call(
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["{0}/tests/benchmark/report_benchmark_results.py".format(IMPALA_HOME),
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"--reference_result_file={0}".format(file_a),
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"--input_result_file={0}".format(file_b),
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'--report_description="{0}"'.format(description)],
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stdout=f)
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sh.cat(result, _out=sys.stdout)
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def compare(base_dir, hash_a, hash_b, options):
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"""Take the results of two performance runs and compare them."""
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file_a = os.path.join(base_dir, hash_a + ".json")
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file_b = os.path.join(base_dir, hash_b + ".json")
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description = "{0} vs {1}".format(hash_a, hash_b)
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report_benchmark_results(file_a, file_b, description)
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# From the two json files extract the profiles and diff them
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if options.split_profiles:
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generate_profile_files(file_a, hash_a, base_dir)
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generate_profile_files(file_b, hash_b, base_dir)
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sh.diff("-u",
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os.path.join(base_dir, hash_a + "_profiles"),
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os.path.join(base_dir, hash_b + "_profiles"),
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_out=os.path.join(IMPALA_HOME, "performance_result_profile_diff.txt"),
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_ok_code=[0, 1])
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else:
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generate_profile_file(file_a, hash_a, base_dir)
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generate_profile_file(file_b, hash_b, base_dir)
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sh.diff("-u",
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os.path.join(base_dir, hash_a + "_profile.txt"),
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os.path.join(base_dir, hash_b + "_profile.txt"),
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_out=os.path.join(IMPALA_HOME, "performance_result_profile_diff.txt"),
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_ok_code=[0, 1])
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def generate_profile_file(name, hash, base_dir):
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"""Extracts runtime profiles from the JSON file 'name'.
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Writes the runtime profiles back in a simple text file in the same directory.
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"""
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with open(name) as fid:
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data = json.loads(fid.read().decode("utf-8", "ignore"))
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with open(os.path.join(base_dir, hash + "_profile.txt"), "w+") as out:
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# For each query
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for key in data:
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for iteration in data[key]:
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out.write(iteration["runtime_profile"])
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out.write("\n\n")
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def generate_profile_files(name, hash, base_dir):
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"""Extracts runtime profiles from the JSON file 'name'.
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Writes the runtime profiles back as separated simple text file in '[hash]_profiles' dir
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in base_dir.
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"""
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profile_dir = os.path.join(base_dir, hash + "_profiles")
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if not os.path.exists(profile_dir):
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os.makedirs(profile_dir)
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with open(name) as fid:
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data = json.loads(fid.read().decode("utf-8", "ignore"))
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iter_num = {}
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# For each query
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for key in data:
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for iteration in data[key]:
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query_name = iteration["query"]["name"]
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if query_name in iter_num:
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iter_num[query_name] += 1
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else:
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iter_num[query_name] = 1
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curr_iter = iter_num[query_name]
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file_name = "{}_iter{:03d}.txt".format(query_name, curr_iter)
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with open(os.path.join(profile_dir, file_name), "w") as out:
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out.write(iteration["runtime_profile"])
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def backup_workloads():
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"""Copy the workload folder to a temporary directory and returns its name.
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Used to keep workloads from being clobbered by git checkout.
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"""
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temp_dir = mkdtemp()
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sh.cp(os.path.join(IMPALA_HOME, "testdata", "workloads"),
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temp_dir, R=True, _out=sys.stdout, _err=sys.stderr)
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print("Backed up workloads to {0}".format(temp_dir))
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return temp_dir
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def restore_workloads(source):
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"""Restores the workload directory from source into the Impala tree."""
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sh.cp(os.path.join(source, "workloads"), os.path.join(IMPALA_HOME, "testdata"),
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R=True, _out=sys.stdout, _err=sys.stderr)
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def perf_ab_test(options, args):
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"""Does the main work: build, run tests, compare."""
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hash_a = get_git_hash_for_name(args[0])
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# Create the base directory to store the results in
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results_path = os.path.join(IMPALA_HOME, "perf_results")
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if not os.access(results_path, os.W_OK):
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os.makedirs(results_path)
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temp_dir = mkdtemp(dir=results_path, prefix="perf_run_")
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latest = os.path.join(results_path, "latest")
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if os.path.islink(latest):
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os.remove(latest)
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os.symlink(os.path.basename(temp_dir), latest)
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workload_dir = backup_workloads()
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build(hash_a, options)
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restore_workloads(workload_dir)
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if options.start_minicluster:
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start_minicluster()
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start_impala(options.num_impalads, options)
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workloads = set(options.workloads.split(","))
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if options.load:
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WORKLOAD_TO_DATASET = {"tpch": "tpch", "tpcds": "tpcds", "targeted-perf": "tpch",
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"tpcds-unmodified": "tpcds-unmodified"}
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datasets = set([WORKLOAD_TO_DATASET[workload] for workload in workloads])
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for dataset in datasets:
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load_data(dataset, options.table_formats, options.scale)
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workloads = ",".join(["{0}:{1}".format(workload, options.scale)
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for workload in workloads])
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run_workload(temp_dir, workloads, options)
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if len(args) > 1 and args[1]:
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hash_b = get_git_hash_for_name(args[1])
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# discard any changes created by the previous restore_workloads()
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shutil.rmtree("testdata/workloads")
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sh.git.checkout("--", "testdata/workloads")
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build(hash_b, options)
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restore_workloads(workload_dir)
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start_impala(options.num_impalads, options)
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run_workload(temp_dir, workloads, options)
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compare(temp_dir, hash_a, hash_b, options)
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def parse_options():
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"""Parse and return the options and positional arguments."""
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parser = OptionParser()
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parser.add_option("--workloads", default="targeted-perf",
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help="comma-separated list of workloads. Choices: tpch, "
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"targeted-perf, tpcds. Default: targeted-perf")
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parser.add_option("--scale", help="scale factor for the workloads [required]")
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parser.add_option("--iterations", default=30, help="number of times to run each query")
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parser.add_option("--table_formats", default="parquet/none", help="comma-separated "
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"list of table formats. Default: parquet/none")
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parser.add_option("--num_impalads", default=1, help="number of impalads. Default: 1")
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# Less commonly-used options:
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parser.add_option("--query_names",
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help="comma-separated list of regular expressions. A query is "
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"executed if it matches any regular expression in this list")
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parser.add_option("--load", action="store_true",
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help="load databases for the chosen workloads")
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parser.add_option("--start_minicluster", action="store_true",
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help="start a new Hadoop minicluster")
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parser.add_option("--ninja", action="store_true",
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help="use ninja, rather than Make, as the build tool")
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parser.add_option("--impalad_args", dest="impalad_args", action="append", type="string",
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default=[],
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help="Additional arguments to pass to each Impalad during startup")
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parser.add_option("--split_profiles", action="store_true", dest="split_profiles",
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default=True, help=("If specified, query profiles will be generated "
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"as separate files"))
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parser.add_option("--no_split_profiles", action="store_false", dest="split_profiles",
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help=("If specified, query profiles will be generated as a "
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"single-combined file"))
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parser.set_usage(textwrap.dedent("""
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single_node_perf_run.py [options] git_hash_A [git_hash_B]
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When one hash is given, measures the performance on the specified workloads.
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When two hashes are given, compares their performance. Output is in
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$IMPALA_HOME/perf_results/latest. In the performance_result.txt file,
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git_hash_A is referred to as the "Base" result. For example, if you run with
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git_hash_A = aBad1dea... and git_hash_B = 8675309... the
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performance_result.txt will say at the top:
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Run Description: "aBad1dea... vs 8675309..."
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The different queries will have their run time statistics in columns
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"Avg(s)", "StdDev(%)", "BaseAvg(s)", "Base StdDev(%)". The first two refer
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to git_hash_B, the second two refer to git_hash_A. The column "Delta(Avg)"
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is negative if git_hash_B is faster and is positive if git_hash_A is faster.
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WARNING: This script will run git checkout. You should not touch the tree
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while the script is running. You should start the script from a clean git
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tree.
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WARNING: When --load is used, this script calls load_data.py which can
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overwrite your TPC-H and TPC-DS data."""))
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options, args = parser.parse_args()
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if not 1 <= len(args) <= 2:
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parser.print_usage(sys.stderr)
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raise Exception("Invalid arguments: either 1 or 2 Git hashes allowed")
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if not options.scale:
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parser.print_help(sys.stderr)
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raise Exception("--scale is required")
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return options, args
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def main():
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"""A thin wrapper around perf_ab_test that restores git state after."""
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options, args = parse_options()
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os.chdir(IMPALA_HOME)
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if sh.git("status", "--porcelain", "--untracked-files=no", _out=None).strip():
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sh.git("status", "--porcelain", "--untracked-files=no", _out=sys.stdout)
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# Something went wrong, let's dump the actual diff to make it easier to
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# track down
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print("#### Working copy is dirty, dumping the diff #####")
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sh.git("--no-pager", "diff", _out=sys.stdout)
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print("#### End of diff #####")
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raise Exception("Working copy is dirty. Consider 'git stash' and try again.")
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# Save the current hash to be able to return to this place in the tree when done
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current_hash = sh.git("rev-parse", "--abbrev-ref", "HEAD").strip()
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if current_hash == "HEAD":
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current_hash = get_git_hash_for_name("HEAD")
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try:
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workloads = backup_workloads()
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perf_ab_test(options, args)
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finally:
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# discard any changes created by the previous restore_workloads()
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shutil.rmtree("testdata/workloads")
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sh.git.checkout("--", "testdata/workloads")
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sh.git.checkout(current_hash)
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restore_workloads(workloads)
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if __name__ == "__main__":
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main()
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