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| #!/usr/bin/env python | ||
| # 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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||
|
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||
| """ | ||
| Converts a given json to LineProtocol format that can be | ||
| visualised by grafana/other systems that support LineProtocol. | ||
| Usage example: | ||
| $ python3 lineprotocol.py sort.json | ||
| benchmark,name=sort,version=28.0.0,datafusion_version=28.0.0,num_cpus=8 query="sort utf8",iteration=0,row_count=10838832,elapsed_ms=85626006 1691105678000000000 | ||
| benchmark,name=sort,version=28.0.0,datafusion_version=28.0.0,num_cpus=8 query="sort utf8",iteration=1,row_count=10838832,elapsed_ms=68694468 1691105678000000000 | ||
| benchmark,name=sort,version=28.0.0,datafusion_version=28.0.0,num_cpus=8 query="sort utf8",iteration=2,row_count=10838832,elapsed_ms=63392883 1691105678000000000 | ||
| benchmark,name=sort,version=28.0.0,datafusion_version=28.0.0,num_cpus=8 query="sort utf8",iteration=3,row_count=10838832,elapsed_ms=66388367 1691105678000000000 | ||
| """ | ||
|
|
||
| # sort.json | ||
| """ | ||
| { | ||
| "queries": [ | ||
| { | ||
| "iterations": [ | ||
| { | ||
| "elapsed": 85626.006132, | ||
| "row_count": 10838832 | ||
| }, | ||
| { | ||
| "elapsed": 68694.467851, | ||
| "row_count": 10838832 | ||
| }, | ||
| { | ||
| "elapsed": 63392.883406, | ||
| "row_count": 10838832 | ||
| }, | ||
| { | ||
| "elapsed": 66388.367387, | ||
| "row_count": 10838832 | ||
| }, | ||
| ], | ||
| "query": "sort utf8", | ||
| "start_time": 1691105678 | ||
| }, | ||
| ], | ||
| "context": { | ||
| "arguments": [ | ||
| "sort", | ||
| "--path", | ||
| "benchmarks/data", | ||
| "--scale-factor", | ||
| "1.0", | ||
| "--iterations", | ||
| "4", | ||
| "-o", | ||
| "sort.json" | ||
| ], | ||
| "benchmark_version": "28.0.0", | ||
| "datafusion_version": "28.0.0", | ||
| "num_cpus": 8, | ||
| "start_time": 1691105678 | ||
| } | ||
| } | ||
| """ | ||
|
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||
| from __future__ import annotations | ||
|
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||
| import json | ||
| from dataclasses import dataclass | ||
| from typing import Dict, List, Any | ||
| from pathlib import Path | ||
| from argparse import ArgumentParser | ||
| import sys | ||
| print = sys.stdout.write | ||
|
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|
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| @dataclass | ||
| class QueryResult: | ||
| elapsed: float | ||
| row_count: int | ||
|
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| @classmethod | ||
| def load_from(cls, data: Dict[str, Any]) -> QueryResult: | ||
| return cls(elapsed=data["elapsed"], row_count=data["row_count"]) | ||
|
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|
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| @dataclass | ||
| class QueryRun: | ||
| query: int | ||
| iterations: List[QueryResult] | ||
| start_time: int | ||
|
|
||
| @classmethod | ||
| def load_from(cls, data: Dict[str, Any]) -> QueryRun: | ||
| return cls( | ||
| query=data["query"], | ||
| iterations=[QueryResult(**iteration) for iteration in data["iterations"]], | ||
| start_time=data["start_time"], | ||
| ) | ||
|
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||
| @property | ||
| def execution_time(self) -> float: | ||
| assert len(self.iterations) >= 1 | ||
|
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| # Use minimum execution time to account for variations / other | ||
| # things the system was doing | ||
| return min(iteration.elapsed for iteration in self.iterations) | ||
|
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| @dataclass | ||
| class Context: | ||
| benchmark_version: str | ||
| datafusion_version: str | ||
| num_cpus: int | ||
| start_time: int | ||
| arguments: List[str] | ||
| name: str | ||
|
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| @classmethod | ||
| def load_from(cls, data: Dict[str, Any]) -> Context: | ||
| return cls( | ||
| benchmark_version=data["benchmark_version"], | ||
| datafusion_version=data["datafusion_version"], | ||
| num_cpus=data["num_cpus"], | ||
| start_time=data["start_time"], | ||
| arguments=data["arguments"], | ||
| name=data["arguments"][0] | ||
| ) | ||
|
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|
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| @dataclass | ||
| class BenchmarkRun: | ||
| context: Context | ||
| queries: List[QueryRun] | ||
|
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| @classmethod | ||
| def load_from(cls, data: Dict[str, Any]) -> BenchmarkRun: | ||
| return cls( | ||
| context=Context.load_from(data["context"]), | ||
| queries=[QueryRun.load_from(result) for result in data["queries"]], | ||
| ) | ||
|
|
||
| @classmethod | ||
| def load_from_file(cls, path: Path) -> BenchmarkRun: | ||
| with open(path, "r") as f: | ||
| return cls.load_from(json.load(f)) | ||
|
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|
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| def lineformat( | ||
| baseline: Path, | ||
| ) -> None: | ||
| baseline = BenchmarkRun.load_from_file(baseline) | ||
| context = baseline.context | ||
| benchamrk_str = f"benchmark,name={context.name},version={context.benchmark_version},datafusion_version={context.datafusion_version},num_cpus={context.num_cpus}" | ||
| for query in baseline.queries: | ||
| query_str = f"query=\"{query.query}\"" | ||
| timestamp = f"{query.start_time*10**9}" | ||
| for iter_num, result in enumerate(query.iterations): | ||
| print(f"{benchamrk_str} {query_str},iteration={iter_num},row_count={result.row_count},elapsed_ms={result.elapsed*1000:.0f} {timestamp}\n") | ||
|
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| def main() -> None: | ||
| parser = ArgumentParser() | ||
| parser.add_argument( | ||
| "path", | ||
| type=Path, | ||
| help="Path to the benchmark file.", | ||
| ) | ||
| options = parser.parse_args() | ||
|
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| lineformat(options.baseline_path) | ||
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| if __name__ == "__main__": | ||
| main() |
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