From 9b492b829a327ab1e2c8c0e5ed7ccad23ecbc9dc Mon Sep 17 00:00:00 2001 From: Harel Ben-Attia Date: Sat, 19 Sep 2020 12:56:06 +0300 Subject: [PATCH] q benchmark (#241) --- .gitignore | 3 + VERSION_BUMP.md | 18 ++ bin/q.py | 2 +- do-manual-release.sh | 2 +- requirements.txt | 1 + setup.py | 2 +- test/BENCHMARK.md | 159 +++++++++++++++ test/benchmark-config.sh | 3 + .../octosql_v0.3.0.benchmark-results | 48 +++++ .../q-benchmark-2.7.18.benchmark-results | 48 +++++ .../q-benchmark-3.6.4.benchmark-results | 48 +++++ .../q-benchmark-3.7.9.benchmark-results | 48 +++++ .../q-benchmark-3.8.5.benchmark-results | 48 +++++ .../summary.benchmark-results | 48 +++++ .../textql_2.0.3.benchmark-results | 48 +++++ test/prepare-benchmark-env | 44 ++++ test/run-benchmark | 77 +++++++ test/test-suite | 192 +++++++++++++++++- 18 files changed, 835 insertions(+), 4 deletions(-) create mode 100644 VERSION_BUMP.md create mode 100644 test/BENCHMARK.md create mode 100644 test/benchmark-config.sh create mode 100644 test/benchmark-results/source-files-1443b7418b46594ad256abd9db4a7671cb251e6a/2020-09-17-v2.0.17/octosql_v0.3.0.benchmark-results create mode 100644 test/benchmark-results/source-files-1443b7418b46594ad256abd9db4a7671cb251e6a/2020-09-17-v2.0.17/q-benchmark-2.7.18.benchmark-results create mode 100644 test/benchmark-results/source-files-1443b7418b46594ad256abd9db4a7671cb251e6a/2020-09-17-v2.0.17/q-benchmark-3.6.4.benchmark-results create mode 100644 test/benchmark-results/source-files-1443b7418b46594ad256abd9db4a7671cb251e6a/2020-09-17-v2.0.17/q-benchmark-3.7.9.benchmark-results create mode 100644 test/benchmark-results/source-files-1443b7418b46594ad256abd9db4a7671cb251e6a/2020-09-17-v2.0.17/q-benchmark-3.8.5.benchmark-results create mode 100644 test/benchmark-results/source-files-1443b7418b46594ad256abd9db4a7671cb251e6a/2020-09-17-v2.0.17/summary.benchmark-results create mode 100644 test/benchmark-results/source-files-1443b7418b46594ad256abd9db4a7671cb251e6a/2020-09-17-v2.0.17/textql_2.0.3.benchmark-results create mode 100755 test/prepare-benchmark-env create mode 100755 test/run-benchmark diff --git a/.gitignore b/.gitignore index 694b157b..2d4ca0f8 100644 --- a/.gitignore +++ b/.gitignore @@ -12,3 +12,6 @@ packages .idea/ dist/windows/ generated-site/ +benchmark_data.tar.gz +_benchmark_data/ +q.egg-info/ diff --git a/VERSION_BUMP.md b/VERSION_BUMP.md new file mode 100644 index 00000000..7a4c5bf5 --- /dev/null +++ b/VERSION_BUMP.md @@ -0,0 +1,18 @@ + +# Version bump +Currently, there are some manual steps needed in order to release a new version: + +* Make sure that you're in a branch +* Change the version in the following three files: `bin/q.py`, `setup.py` and `do-manual-release.sh` and commit them to the branch +* perform merge into master of that branch +* add a tag of the release version +* `git push --tags origin master` +* create a release in github with the tag you've just created + +Pushing to master will trigger a build/release, and will push the artifacts to the new release as assets. + +The reason for this is related to limitations in the way that pyci uploads the binaries to github. + +# + +TBD - Continue with the flow of wrapping the artifacts with rpm/deb, copying the files to packages-for-q, and updating the web site. diff --git a/bin/q.py b/bin/q.py index 5760653c..4775ddb9 100755 --- a/bin/q.py +++ b/bin/q.py @@ -33,7 +33,7 @@ from collections import OrderedDict -q_version = '2.0.17' +q_version = '2.0.18' __all__ = [ 'QTextAsData' ] diff --git a/do-manual-release.sh b/do-manual-release.sh index 11116778..9e0d787a 100755 --- a/do-manual-release.sh +++ b/do-manual-release.sh @@ -2,7 +2,7 @@ set -e -VERSION=2.0.17 +VERSION=2.0.18 if [[ "$TRAVIS_BRANCH" != "master" ]] then diff --git a/requirements.txt b/requirements.txt index 6c4193ae..3ad7d2bf 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,2 +1,3 @@ six==1.11.0 flake8==3.6.0 +setuptools<45.0.0 diff --git a/setup.py b/setup.py index 49092722..df113123 100644 --- a/setup.py +++ b/setup.py @@ -2,7 +2,7 @@ from setuptools import setup -q_version = '2.0.17' +q_version = '2.0.18' setup( name='q', diff --git a/test/BENCHMARK.md b/test/BENCHMARK.md new file mode 100644 index 00000000..3a4d5732 --- /dev/null +++ b/test/BENCHMARK.md @@ -0,0 +1,159 @@ + + +NOTE: *Please don't use or publish this benchmark data yet. See below for details* + +# Overview +This just a preliminary benchmark, originally created for validating performance optimizations and suggestions from users, and analyzing q's move to python3. After writing it, I thought it might be interesting to test its speed against textql and octosql as well. + +The results I'm getting are somewhat surprising, to the point of me questioning them a bit, so it would be great to validate the further before finalizing the benchmark results. + +The most surprising results are as follows: +* python3 vs python2 - A huge improvement (for large files, execution times with python 3 are around 40% of the times for python 2) +* python3 vs textql (written in golang) - Seems that textql becomes slower than the python3 q version as the data sizes grows (both rows and columns) + +I would love to validate these results by having other people run the benchmark as well and send me their results. + +If you're interested, follow the instructions and run the benchmark on your machine. After the benchmark is finished, send me the final results file, along with some details about your hardware, and i'll add it to the spreadsheet. + +I've tried to make running the benchmark as seamless as possible, but there obviously might be errors/issues. Please contact me if you encounter any issue, or just open a ticket. + +# Benchmark +This is an initial version of the benchmark, along with some results. The following is compared: +* q running on multiple python versions +* textql 2.0.3 +* octosql v0.3.0 + +The specific python versions which are being tested are specified in `benchmark-config.sh`. + +This is by no means a scientific benchmark, and it only focuses on the data loading time which is the only significant factor for comparison (e.g. the query itself is a very simple count query). Also, it does not try to provide any usability comparison between q and textql/octosql, an interesting topic on its own. + +## Methodology +The idea was to compare the time sensitivity of row and column count. + +* Row counts: 1,10,100,1000,10000,100000,1000000 +* Column counts: 1,5,10,20,50,100 +* Iterations for each combination: 10 + +File sizes: +* 1M rows by 100 columns - 976MB (~1GB) - Largest file +* 1M rows by 50 columns - 477MB + +The benchmark executes simple `select count(*) from ` queries for each combination, calculating the mean and stddev of each set of iterations. The stddev is used in order to measure the validity of the results. + +The graphs below only compare the means of the results, the standard deviations are written into the google sheet itself, and can be viewed there if needed. + +Instructions on how to run the benchmark are at the bottom section of this document, after the results section. + +## Hardware +OSX Catalina on a 15" Macbook Pro from Mid 2015, with 16GB of RAM, and an internal Flash Drive of 256GB. + +## Results +(Results are automatically updated from the baseline tab in the google spreadsheet). + +Detailed results below. + +Summary: +* All python 3 versions (3.6/3.7/3.8) provide similar results across all scales. +* python 3.x provides significantly better results than python2. Improvement grows as the file size grows (20% improvement for small files, up to ~70% improvement for the largest file) +* textql seems to provide faster results than q (py3) for smaller files, up to around 30MB of data. As the size grows further, it becomes slower than q, up to 80% (74 seconds vs 41 seconds) for the largest file +* The larger the files, textql becomes slower than q-py3 (up to 80% more time than q for the largest file) +* octosql is significantly slower than both q and textql, even for small files with a low number of rows and columns + +### Data for 1M rows + +#### Run time durations for 1M rows and different column counts: +| rows | columns | File Size | python 2.7 | python 3.6 | python 3.7 | python 3.8 | textql | octosql | +|:-------: |:-------: |:---------: |:----------: |:----------: |:----------: |:----------: |:------: |:-------: | +| 1000000 | 1 | 17M | 5.15 | 4.24 | 4.08 | 3.98 | 2.90 | 49.95 | +| 1000000 | 5 | 37M | 10.68 | 5.37 | 5.26 | 5.14 | 5.88 | 54.69 | +| 1000000 | 10 | 89M | 17.56 | 7.25 | 7.15 | 7.01 | 9.69 | 65.32 | +| 1000000 | 20 | 192M | 30.28 | 10.96 | 10.78 | 10.64 | 17.34 | 83.94 | +| 1000000 | 50 | 477M | 71.56 | 21.98 | 21.59 | 21.70 | 38.57 | 158.26 | +| 1000000 | 100 | 986M | 131.86 | 41.71 | 40.82 | 41.02 | 74.62 | 289.58 | + +#### Comparison between python 3.x and python 2 run times (1M rows): +(>100% is slower than q-py2, <100% is faster than q-py2) + +| rows | columns | file size | q-py2 runtime | q-py3.6 vs q-py2 runtime | q-py3.7 vs q-py2 runtime | q-py3.8 vs q-py2 runtime | +|:-------: |:-------: |:---------: |:-------------: |:------------------------: |:------------------------: |:------------------------: | +| 1000000 | 1 | 17M | 100.00% | 82.34% | 79.34% | 77.36% | +| 1000000 | 5 | 37M | 100.00% | 50.25% | 49.22% | 48.08% | +| 1000000 | 10 | 89M | 100.00% | 41.30% | 40.69% | 39.93% | +| 1000000 | 20 | 192M | 100.00% | 36.18% | 35.59% | 35.14% | +| 1000000 | 50 | 477M | 100.00% | 30.71% | 30.17% | 30.32% | +| 1000000 | 100 | 986M | 100.00% | 31.63% | 30.96% | 31.11% | + +#### textql and octosql comparison against q-py3 run time (1M rows): +(>100% is slower than q-py3, <100% is faster than q-py3) + +| rows | columns | file size | avg q-py3 runtime | textql vs q-py3 runtime | octosql vs q-py3 runtime | +|:-------: |:-------: |:---------: |:-----------------: |:-----------------------: |:------------------------: | +| 1000000 | 1 | 17M | 100.00% | 70.67% | 1217.76% | +| 1000000 | 5 | 37M | 100.00% | 111.86% | 1040.70% | +| 1000000 | 10 | 89M | 100.00% | 135.80% | 915.28% | +| 1000000 | 20 | 192M | 100.00% | 160.67% | 777.92% | +| 1000000 | 50 | 477M | 100.00% | 177.26% | 727.40% | +| 1000000 | 100 | 986M | 100.00% | 181.19% | 703.15% | + +### Sensitivity to column count +Based on a the largest file size of 1,000,000 rows. + +![Sensitivity to column count](https://docs.google.com/spreadsheets/d/e/2PACX-1vQy9Zm4I322Tdf5uoiFFJx6Oi3Z4AMq7He3fUUtsEQVQIdTGfWgjxFD6k8PAy9wBjvFkqaG26oBgNTP/pubchart?oid=1585602598&format=image) + +### Sensitivity to line count (per column count) + +#### 1 Column Table +![1 column table](https://docs.google.com/spreadsheets/d/e/2PACX-1vQy9Zm4I322Tdf5uoiFFJx6Oi3Z4AMq7He3fUUtsEQVQIdTGfWgjxFD6k8PAy9wBjvFkqaG26oBgNTP/pubchart?oid=1119350798&format=image) + +#### 5 Column Table +![5 column table](https://docs.google.com/spreadsheets/d/e/2PACX-1vQy9Zm4I322Tdf5uoiFFJx6Oi3Z4AMq7He3fUUtsEQVQIdTGfWgjxFD6k8PAy9wBjvFkqaG26oBgNTP/pubchart?oid=599223098&format=image) + +#### 10 Column Table +![10 column table](https://docs.google.com/spreadsheets/d/e/2PACX-1vQy9Zm4I322Tdf5uoiFFJx6Oi3Z4AMq7He3fUUtsEQVQIdTGfWgjxFD6k8PAy9wBjvFkqaG26oBgNTP/pubchart?oid=82695414&format=image) + +#### 20 Column Table +![20 column table](https://docs.google.com/spreadsheets/d/e/2PACX-1vQy9Zm4I322Tdf5uoiFFJx6Oi3Z4AMq7He3fUUtsEQVQIdTGfWgjxFD6k8PAy9wBjvFkqaG26oBgNTP/pubchart?oid=1573199483&format=image) + +#### 50 Column Table +![50 column table](https://docs.google.com/spreadsheets/d/e/2PACX-1vQy9Zm4I322Tdf5uoiFFJx6Oi3Z4AMq7He3fUUtsEQVQIdTGfWgjxFD6k8PAy9wBjvFkqaG26oBgNTP/pubchart?oid=448568670&format=image) + +#### 100 Column Table +![100 column table](https://docs.google.com/spreadsheets/d/e/2PACX-1vQy9Zm4I322Tdf5uoiFFJx6Oi3Z4AMq7He3fUUtsEQVQIdTGfWgjxFD6k8PAy9wBjvFkqaG26oBgNTP/pubchart?oid=2101488258&format=image) + +## Running the benchmark +Please note that the initial run generates large files, so you'd need more than 3GB of free space available. All the generated files reside in the `_benchmark_data/` folder. + +Part of the preparation flow will download the benchmark data as needed. + +### Preparations +* Prerequisites: + * pyenv installed + * pyenv-virtualenv installed + * [`textql`](https://github.com/dinedal/textql#install) + * [`octosql`](https://github.com/cube2222/octosql#installation) + +Run `./prepare-benchmark-env` + +### Execution +Run `./run-benchmark `. + +Benchmark output files will be written to `./benchmark-results///`. + +* `benchmark-id` is the id you wanna give the benchmark. +* `q-executable` is the name of the q executable being used for the benchmark. If none has been provided through Q_EXECUTABLE, then the value will be the last commit hash. Note that there is no checking of whether the working tree is clean. + +The summary of benchmark will be written to `./benchmark-results//summary.benchmark-results`` + +By default, the benchmark will use the source python files inside the project. If you wanna run it on one of the standalone binary executable, the set Q_EXECUTABLE to the full path of the q binary. + +For anyone helping with running the benchmark, don't use this parameter for now, just test against a clean checkout of the code using `./run-benchmark `. + +## Benchmark Development info +### Running against the standalone binary +* `./run-benchmark` can accept a second parameter with the q executable. If it gets this parameter, it will use this path for running q. This provides a way to test the standalone q binaries in the new packaging format. When this parameter does not exist, the benchmark is executed directly from the source code. + +### Updating the benchmark markdown document file +The results should reside in the following [google sheet](https://docs.google.com/spreadsheets/d/1Ljr8YIJwUQ5F4wr6ATga5Aajpu1CvQp1pe52KGrLkbY/edit?usp=sharing). + +add a new tab to the google sheet, and paste the content of `summary.benchmark-results` to the new sheet. + diff --git a/test/benchmark-config.sh b/test/benchmark-config.sh new file mode 100644 index 00000000..52cf71e9 --- /dev/null +++ b/test/benchmark-config.sh @@ -0,0 +1,3 @@ +#!/bin/bash + +BENCHMARK_PYTHON_VERSIONS=(2.7.18 3.6.4 3.7.9 3.8.5) diff --git a/test/benchmark-results/source-files-1443b7418b46594ad256abd9db4a7671cb251e6a/2020-09-17-v2.0.17/octosql_v0.3.0.benchmark-results b/test/benchmark-results/source-files-1443b7418b46594ad256abd9db4a7671cb251e6a/2020-09-17-v2.0.17/octosql_v0.3.0.benchmark-results new file mode 100644 index 00000000..ced04856 --- /dev/null +++ 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a/test/prepare-benchmark-env b/test/prepare-benchmark-env new file mode 100755 index 00000000..397a290d --- /dev/null +++ b/test/prepare-benchmark-env @@ -0,0 +1,44 @@ +#!/bin/bash + +set -e + +eval "$(pyenv init -)" +eval "$(pyenv virtualenv-init -)" + +source benchmark-config.sh + +if [ ! -f ./benchmark_data.tar.gz ]; +then + echo benchmark data not found. downloading it + curl "https://s3.amazonaws.com/harelba-q-public/benchmark_data.tar.gz" -o ./benchmark_data.tar.gz +else + echo no need to download benchmark data +fi + +if [ ! -d ./_benchmark_data ]; +then + echo extracting benchmark data + tar xvfz benchmark_data.tar.gz + echo benchmark data is ready +else + echo no need to extract benchmark data +fi + +for ver in "${BENCHMARK_PYTHON_VERSIONS[@]}" +do + echo installing $ver + pyenv install -s $ver + + venv_name=q-benchmark-$ver + echo create venv $venv_name + pyenv virtualenv -f $ver $venv_name + echo activate venv $venv_name + pyenv activate $venv_name + pyenv version + echo installing requirements $venv_name + pip install -r ../requirements.txt + echo deactivating $venv_name + pyenv deactivate +done + + diff --git a/test/run-benchmark b/test/run-benchmark new file mode 100755 index 00000000..a1c6ff21 --- /dev/null +++ b/test/run-benchmark @@ -0,0 +1,77 @@ +#!/bin/bash + +# Usage: ./run-benchmark.sh +set -e + +get_abs_filename() { + # $1 : relative filename + echo "$(cd "$(dirname "$1")" && pwd)/$(basename "$1")" +} + +eval "$(pyenv init -)" +eval "$(pyenv virtualenv-init -)" + +if [ "x$1" == "x" ]; +then + echo Benchmark id must be provided as a parameter + exit 1 +fi +Q_BENCHMARK_ID=$1 + +if [ "x$2" == "x" ]; +then + EFFECTIVE_Q_EXECUTABLE="source-files-$(git rev-parse HEAD)" +else + ABS_Q_EXECUTABLE="$(get_abs_filename $2)" + export Q_EXECUTABLE=$ABS_Q_EXECUTABLE + if [ ! -f $ABS_Q_EXECUTABLE ] + then + echo "q executable must exist ($ABS_Q_EXECUTABLE)" + exit 1 + fi + EFFECTIVE_Q_EXECUTABLE="${ABS_Q_EXECUTABLE//\//__}" +fi + +echo "Q executable to use is $EFFECTIVE_Q_EXECUTABLE" + +# Must be provided to the benchmark code so it knows where to write the results to +export Q_BENCHMARK_RESULTS_FOLDER="./benchmark-results/${EFFECTIVE_Q_EXECUTABLE}/${Q_BENCHMARK_ID}/" +echo Benchmark results folder is $Q_BENCHMARK_RESULTS_FOLDER +mkdir -p $Q_BENCHMARK_RESULTS_FOLDER + +source benchmark-config.sh + +ALL_FILES=() + +for ver in "${BENCHMARK_PYTHON_VERSIONS[@]}" +do +venv_name=q-benchmark-$ver +echo activating $venv_name +pyenv activate $venv_name +echo "==== testing inside $venv_name ===" +./test-all BenchmarkTests.test_q_matrix -v +RESULT_FILE="${Q_BENCHMARK_RESULTS_FOLDER}/$venv_name.benchmark-results" +echo "==== Done. Results are in $RESULT_FILE" +ALL_FILES[${#ALL_FILES[@]}]="$RESULT_FILE" +echo "Deactivating" +pyenv deactivate +done + +echo "==== testing textql ===" +./test-all BenchmarkTests.test_textql_matrix -v +RESULT_FILE="textql*.benchmark-results" +ALL_FILES[${#ALL_FILES[@]}]="${Q_BENCHMARK_RESULTS_FOLDER}/$RESULT_FILE" +echo "Done. Results are in textql.benchmark-results" + +echo "==== testing octosql ===" +./test-all BenchmarkTests.test_octosql_matrix -v +RESULT_FILE="octosql*.benchmark-results" +ALL_FILES[${#ALL_FILES[@]}]="${Q_BENCHMARK_RESULTS_FOLDER}/$RESULT_FILE" +echo "Done. Results are in octosql.benchmark-results" + +summary_file="$Q_BENCHMARK_RESULTS_FOLDER/summary.benchmark-results" + +rm -vf $summary_file + +paste ${ALL_FILES[*]} > $summary_file +echo "Done. final results file is $summary_file" diff --git a/test/test-suite b/test/test-suite index b44b357c..5628e6cf 100755 --- a/test/test-suite +++ b/test/test-suite @@ -10,6 +10,7 @@ # in order to test the resulting binary executables as well, instead of just executing the q python source code. # +from __future__ import print_function import unittest import random import json @@ -24,7 +25,7 @@ import pprint import six from six.moves import range import codecs - +import itertools sys.path.append(os.path.join(os.path.abspath(os.path.dirname(sys.argv[0])),'..','bin')) from q import QTextAsData,QOutput,QOutputPrinter,QInputParams @@ -2599,6 +2600,195 @@ class BasicModuleTests(AbstractQTestCase): self.assertTrue(table_structure.materialized_files['my_data'].filename,'my_data') self.assertTrue(table_structure.materialized_files['my_data'].is_stdin) + +class BenchmarkAttemptResults(object): + def __init__(self, attempt, lines, columns, duration,return_code): + self.attempt = attempt + self.lines = lines + self.columns = columns + self.duration = duration + self.return_code = return_code + + def __str__(self): + return "{}".format(self.__dict__) + __repr__ = __str__ + +class BenchmarkResults(object): + def __init__(self, lines, columns, attempt_results, mean, stddev): + self.lines = lines + self.columns = columns + self.attempt_results = attempt_results + self.mean = mean + self.stddev = stddev + + def __str__(self): + return "{}".format(self.__dict__) + __repr__ = __str__ + +class BenchmarkTests(AbstractQTestCase): + + BENCHMARK_DIR = './_benchmark_data' + + def _ensure_benchmark_data_dir_exists(self): + try: + os.mkdir(BenchmarkTests.BENCHMARK_DIR) + except Exception as e: + pass + + def _create_benchmark_file_if_needed(self): + self._ensure_benchmark_data_dir_exists() + + if os.path.exists('{}/benchmark-file.csv'.format(BenchmarkTests.BENCHMARK_DIR)): + return + + g = GzipFile('unit-file.csv.gz') + d = g.read().decode('utf-8') + f = open('{}/benchmark-file.csv'.format(BenchmarkTests.BENCHMARK_DIR), 'w') + for i in range(100): + f.write(d) + f.close() + + def _prepare_test_file(self, lines, columns): + + filename = '{}/_benchmark_data__lines_{}_columns_{}.csv'.format(BenchmarkTests.BENCHMARK_DIR,lines, columns) + + if os.path.exists(filename): + return filename + + c = ['c{}'.format(x + 1) for x in range(columns)] + + # write a header line + ff = open(filename,'w') + ff.write(",".join(c)) + ff.write('\n') + ff.close() + + r, o, e = run_command('head -{} {}/benchmark-file.csv | ' + Q_EXECUTABLE + ' -d , "select {} from -" >> {}'.format(lines, BenchmarkTests.BENCHMARK_DIR, ','.join(c), filename)) + self.assertEqual(r, 0) + return filename + + def _decide_result(self,attempt_results): + + failed = list(filter(lambda a: a.return_code != 0,attempt_results)) + + if len(failed) == 0: + mean = sum([x.duration for x in attempt_results]) / len(attempt_results) + sum_squared = sum([(x.duration - mean)**2 for x in attempt_results]) + ddof = 0 + pvar = sum_squared / (len(attempt_results) - ddof) + stddev = pvar ** 0.5 + else: + mean = None + stddev = None + + return BenchmarkResults( + attempt_results[0].lines, + attempt_results[0].columns, + attempt_results, + mean, + stddev + ) + + def _perform_test_performance_matrix(self,name,generate_cmd_function): + results = [] + + benchmark_results_folder = os.environ.get("Q_BENCHMARK_RESULTS_FOLDER",'') + if benchmark_results_folder == "": + raise Exception("Q_BENCHMARK_RESULTS_FOLDER must be provided as an environment variable") + + self._create_benchmark_file_if_needed() + for columns in [1, 5, 10, 20, 50, 100]: + for lines in [1, 10, 100, 1000, 10000, 100000, 1000000]: + attempt_results = [] + for attempt in range(10): + filename = self._prepare_test_file(lines, columns) + if DEBUG: + print("Testing {}".format(filename)) + t0 = time.time() + r, o, e = run_command(generate_cmd_function(filename,lines,columns)) + duration = time.time() - t0 + attempt_result = BenchmarkAttemptResults(attempt, lines, columns, duration, r) + attempt_results += [attempt_result] + if DEBUG: + print("Results: {}".format(attempt_result.__dict__)) + final_result = self._decide_result(attempt_results) + results += [final_result] + + series_fields = [six.u('lines'),six.u('columns')] + value_fields = [six.u('mean'),six.u('stddev')] + + all_fields = series_fields + value_fields + + output_filename = '{}/{}.benchmark-results'.format(benchmark_results_folder,name) + output_file = open(output_filename,'w') + for columns,g in itertools.groupby(sorted(results,key=lambda x:x.columns),key=lambda x:x.columns): + x = six.u("\t").join(series_fields + [six.u('{}_{}').format(name, f) for f in value_fields]) + print(x,file = output_file) + for result in g: + print(six.u("\t").join(map(str,[getattr(result,f) for f in all_fields])),file=output_file) + output_file.close() + + print("results have been written to : {}".format(output_filename)) + if DEBUG: + print("RESULTS FOR {}".format(name)) + print(open(output_filename,'r').read()) + + def test_q_matrix(self): + venv = os.path.basename(os.environ.get('VIRTUAL_ENV') or 'unknown-virtual-env') + + def generate_q_cmd(data_filename,line_count,column_count): + if column_count == 1: + additional_params = '-c 1' + else: + additional_params = '' + return '{} -d , {} "select count(*) from {}"'.format(Q_EXECUTABLE,additional_params, data_filename) + self._perform_test_performance_matrix(venv,generate_q_cmd) + + def _get_textql_version(self): + r,o,e = run_command("textql --version") + if r != 0: + raise Exception("Could not find textql") + if len(e) != 0: + raise Exception("Errors while getting textql version") + return o[0] + + def _get_octosql_version(self): + r,o,e = run_command("octosql --version") + if r != 0: + raise Exception("Could not find octosql") + if len(e) != 0: + raise Exception("Errors while getting octosql version") + import re + version = re.findall('v[0-9]+\.[0-9]+\.[0-9]+',o[0])[0] + return version + + def test_textql_matrix(self): + def generate_textql_cmd(data_filename,line_count,column_count): + return 'textql -dlm , -sql "select count(*)" {}'.format(data_filename) + + name = 'textql_%s' % self._get_textql_version() + self._perform_test_performance_matrix(name,generate_textql_cmd) + + def test_octosql_matrix(self): + config_fn = self.random_tmp_filename('octosql', 'config') + def generate_octosql_cmd(data_filename,line_count,column_count): + j = """ +dataSources: + - name: bmdata + type: csv + config: + path: "{}" + headerRow: false + batchSize: 10000 +""".format(data_filename)[1:] + f = open(config_fn,'w') + f.write(j) + f.close() + return 'octosql -c {} -o batch-csv "select count(*) from bmdata a"'.format(config_fn) + + name = 'octosql_%s' % self._get_octosql_version() + self._perform_test_performance_matrix(name,generate_octosql_cmd) + def suite(): tl = unittest.TestLoader() basic_stuff = tl.loadTestsFromTestCase(BasicTests)