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[GLUTEN-7641][VL] Add Gluten benchmark scripts (#7642)
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# Setup, Build and Benchmark Spark/Gluten with Jupyter Notebook | ||
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This guide provides notebooks and scripts for conducting performance testing in Gluten. The standard approach involves setting up the test environment on a bare-metal machine or cloud instance and running performance tests with TPC-H/TPC-DS workloads. These scripts enable users to reproduce our performance results in their own environment. | ||
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## Environment Setup | ||
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The recommended OS is ubuntu22.04 with kernel 5.15. To prepare the environment, run [initialize.ipynb](./initialize.ipynb), which will: | ||
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- Install system dependencies and set up jupyter notebook | ||
- Configure Hadoop and Spark | ||
- Configure kernel parameters | ||
- Build Gluten using Docker | ||
- Generate TPC-H/TPC-DS tables | ||
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## Running TPC-H/TPC-DS Benchmarks | ||
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To run TPC-H/TPC-DS benchmarks, use [tpc_workload.ipynb](./tpc_workload.ipynb). You can create a copy of the notebook and modify the parameters defined in this notebook to run different workloads. However, creating and modifying a copy each time you change workloads can be inconvenient. Instead, it's recommended to use Papermill to pass parameters via the command line for greater flexibility. | ||
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The required parameters are specified in [params.yaml.template](./params.yaml.template). To use it, create your own YAML file by copying and modifying the template. The command to run the notebook is: | ||
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```bash | ||
papermill tpc_workload.ipynb --inject-output-path -f params.yaml gluten_tpch.ipynb | ||
``` | ||
After execution, the output notebook will be saved as `gluten_tpch.ipynb`. | ||
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If you want to use different parameters, you can specify them via the `-p` option. It will overwrite the previously defined parameters in `params.yaml`. e.g. To switch to the TPC-DS workload, run: | ||
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```bash | ||
papermill tpc_workload.ipynb --inject-output-path -f params.yaml -p workoad tpcds gluten_tpcds.ipynb | ||
``` | ||
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Please refer to the Papermill documentation for additional usage details. | ||
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We also provide a script [run_tpc_workload.sh](./run_tpc_workload.sh). This script wraps the Papermill command, automatically renaming the output notebook with a timestamp and application ID to prevent overwriting existing output files. | ||
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## Analyzing Performance Results | ||
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You can check the **Show Performance** section in the output notebook after execution. It shows the cpu% per query, and draws charts for the cpu%, memory throughput, disk throughput/util%, network throughput and pagefaults. |
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# 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. | ||
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# To set up the virtual environment required to run this script, | ||
# refer to the `Format and mount disks` subsection under `System Setup` in initialize.ipynb. | ||
import sys | ||
import subprocess | ||
import questionary | ||
import json | ||
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def yes_or_no(question): | ||
while True: | ||
user_input = input(question + '(yes/no/quit): ') | ||
if user_input.lower() == 'yes': | ||
return True | ||
elif user_input.lower() == 'no': | ||
return False | ||
elif user_input.lower() == 'quit': | ||
sys.exit(1) | ||
else: | ||
continue | ||
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def filter_empty_str(l): | ||
return [x for x in l if x] | ||
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def run_and_log(cmd): | ||
# Print command in yellow | ||
print('\033[93m' + '>>> Running command: ' + repr(cmd) + '\033[0m') | ||
result = subprocess.run(cmd, check=True, shell=True, capture_output=True, text=True) | ||
# Print stdout in green | ||
print('\033[92m' + '==========stdout==========' + '\033[0m') | ||
print(result.stdout) | ||
# Print stderr in red | ||
print('\033[91m' + '==========stderr==========' + '\033[0m') | ||
print(result.stderr) | ||
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def init_disks(): | ||
all_disks = filter_empty_str(subprocess.run("lsblk -I 7,8,259 -npd --output NAME".split(' '), capture_output=True, text=True).stdout.split('\n')) | ||
if not all_disks: | ||
print("No disks found on system. Exit.") | ||
sys.exit(0) | ||
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answer = False | ||
disks = [] | ||
while not answer: | ||
disks = questionary.checkbox('Select disks to initialize:', choices=all_disks).ask() | ||
answer = yes_or_no('Confirm selected:\n' + '\n'.join(disks) + '\n') | ||
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if not disks: | ||
print('No disks are selected.') | ||
return | ||
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for d in disks: | ||
print('Initializing {} ...'.format(d)) | ||
run_and_log('wipefs -a {}'.format(d)) | ||
run_and_log('echo "g\nw\n" | fdisk {}'.format(d)) | ||
run_and_log('echo "n\n\n\n\nw\n" | fdisk {}'.format(d)) | ||
run_and_log('mkfs.ext4 {}p1'.format(d)) | ||
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def mount_partitions(): | ||
subprocess.run('lsblk -pf --json > lsblk.json', shell=True) | ||
partitions = [] | ||
with open('lsblk.json', 'r') as f: | ||
data = json.load(f) | ||
for d in data['blockdevices']: | ||
if 'children' in d: | ||
for c in d['children']: | ||
if c['fstype'] == 'ext4': | ||
partitions.append(c['name']) | ||
answer = False | ||
while not answer: | ||
partitions = questionary.checkbox('Select partitions to create mount points:', choices=partitions).ask() | ||
answer = yes_or_no('Confirm selected:\n' + '\n'.join(partitions) + '\n') | ||
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for i, p in enumerate(partitions): | ||
d = 'data{}'.format(i) | ||
run_and_log('e2label {} ""'.format(p)) | ||
run_and_log('e2label {} {}'.format(p, d)) | ||
run_and_log('mkdir -p /{}'.format(d)) | ||
run_and_log('mount -L {} /{}'.format(d, d)) | ||
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def choose(): | ||
choice = questionary.select('Select operation:', choices=['Format disks', 'Mount partitions']).ask() | ||
print(choice) | ||
if choice == 'Format disks': | ||
init_disks() | ||
elif choice == 'Mount partitions': | ||
mount_partitions() | ||
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if __name__ == '__main__': | ||
choose() |
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