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https://github.com/GreptimeTeam/greptimedb.git
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ci: notify jsonbench result (#8273)
Signed-off-by: luofucong <luofc@foxmail.com>
This commit is contained in:
217
.github/scripts/jsonbench-summary.py
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217
.github/scripts/jsonbench-summary.py
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# Copyright 2023 Greptime Team
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# 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, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#!/usr/bin/env python3
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import argparse
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import ast
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import json
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import pathlib
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import re
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def read_number(result_dir, patterns):
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for pattern in patterns:
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for path in sorted(result_dir.rglob(pattern)):
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text = path.read_text(encoding="utf-8", errors="replace")
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match = re.search(r"\d+(?:\.\d+)?", text)
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if match:
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return match.group(0)
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return None
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def format_gb(value):
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if value is None:
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return "N/A"
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try:
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bytes_size = float(value)
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except ValueError:
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return "N/A"
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return f"{bytes_size / 1000 / 1000 / 1000:.2f} GB"
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def format_dataset(choice):
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datasets = {
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"1": "1M",
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"2": "10M",
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"3": "100M",
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"4": "1000M",
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}
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if choice is None:
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return "N/A"
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return datasets.get(choice, f"choice {choice}")
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def read_runtime_text(result_dir):
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runtime_files = sorted(result_dir.rglob("*.results_runtime"))
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if runtime_files:
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return "\n".join(
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path.read_text(encoding="utf-8", errors="replace")
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for path in runtime_files
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)
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log_files = sorted(result_dir.rglob("*.log"))
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return "\n".join(
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path.read_text(encoding="utf-8", errors="replace")
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for path in log_files
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)
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def parse_query_rows(text):
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rows = []
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query_index = 0
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has_timings = False
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for line in text.splitlines():
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stripped = line.strip()
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if stripped.startswith("Running query:"):
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query_index += 1
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has_timings = False
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continue
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if not (
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query_index > 0
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and not has_timings
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and stripped.startswith("[")
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and stripped.endswith("]")
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):
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continue
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try:
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timings = ast.literal_eval(stripped)
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except (SyntaxError, ValueError):
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continue
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has_timings = True
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for label, value in (
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("cold", timings[0] if len(timings) > 0 else None),
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("hot", timings[1] if len(timings) > 1 else None),
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):
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if value is not None:
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rows.append((query_index, label, float(value)))
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return rows
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def query_rows_to_map(query_rows):
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queries = {}
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for query_index, label, value in query_rows:
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queries.setdefault(query_index, {})[label] = value
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return queries
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def format_duration(value):
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if value is None:
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return "N/A"
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return f"{value:.3f}"
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def format_delta(current, last):
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if current is None or last in (None, 0):
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return "N/A"
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percent = (current - last) / last * 100
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if abs(percent) <= 0.1:
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return "0"
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formatted = f"{percent:+.1f}"
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return formatted.rstrip("0").rstrip(".")
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def format_query_table(query_rows, previous_query_rows):
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queries = query_rows_to_map(query_rows)
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previous_queries = query_rows_to_map(previous_query_rows)
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rows = [("Query", "Cold (s)", "Cold Last (%)", "Hot (s)", "Hot Last (%)")]
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rows.extend(
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(
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f"Q{query_index}",
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format_duration(values.get("cold")),
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format_delta(
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values.get("cold"),
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previous_queries.get(query_index, {}).get("cold"),
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),
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format_duration(values.get("hot")),
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format_delta(
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values.get("hot"),
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previous_queries.get(query_index, {}).get("hot"),
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),
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)
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for query_index, values in sorted(queries.items())
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)
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widths = [max(len(row[column]) for row in rows) for column in range(5)]
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separator = tuple("-" * width for width in widths)
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rows.insert(1, separator)
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return "\n".join(
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(
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f"| {query:<{widths[0]}} | {cold:>{widths[1]}} | "
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f"{cold_delta:>{widths[2]}} | {hot:>{widths[3]}} | "
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f"{hot_delta:>{widths[4]}} |"
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)
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for query, cold, cold_delta, hot, hot_delta in rows
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)
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def build_payload(result_dir, previous_result_dir, result, run_url):
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if result != "success":
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return {"text": f"Nightly JSONBench failed, please check {run_url}."}
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data_size = read_number(result_dir, ["*.total_size", "*.data_size"])
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count = read_number(result_dir, ["*.count"])
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dataset = read_number(result_dir, ["*.dataset"])
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query_rows = parse_query_rows(read_runtime_text(result_dir))
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previous_query_rows = []
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if previous_result_dir and previous_result_dir.exists():
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previous_query_rows = parse_query_rows(read_runtime_text(previous_result_dir))
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summary = (
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f"Dataset: {format_dataset(dataset)}\n"
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f"Data size: {format_gb(data_size)}\n"
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f"Count: {count or 'N/A'}"
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)
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table = format_query_table(query_rows, previous_query_rows)
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text = (
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"Nightly JSONBench has completed successfully.\n"
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f"<{run_url}|Workflow run>\n"
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f"```{summary}\n\n{table}```"
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)
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return {"text": text}
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def main():
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parser = argparse.ArgumentParser()
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parser.add_argument("--result-dir", required=True, type=pathlib.Path)
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parser.add_argument("--previous-result-dir", type=pathlib.Path)
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parser.add_argument("--result", required=True)
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parser.add_argument("--run-url", required=True)
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args = parser.parse_args()
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print(
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json.dumps(
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build_payload(
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args.result_dir,
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args.previous_result_dir,
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args.result,
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args.run_url,
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)
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)
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)
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if __name__ == "__main__":
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main()
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