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import argparse | ||
import subprocess | ||
import time | ||
import traceback | ||
from pathlib import Path | ||
from dataclasses import dataclass | ||
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SPARK_MIRROR_PATH = str(Path("../spark_mirror").resolve()) | ||
TPCH_SPARK_PATH = str(Path("../tpch-spark").resolve()) | ||
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def bang(cmd, dry_run): | ||
cmd = [str(part) for part in cmd] | ||
print(" ".join(cmd)) | ||
if dry_run: | ||
return | ||
p = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE) | ||
return p | ||
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def must(cmd, dry_run): | ||
p = bang(cmd, dry_run) | ||
if p.wait() != 0: | ||
stdout, stderr = p.communicate() | ||
raise Exception(f"Command failed. stdout: {stdout}. stderr: {stderr}.") | ||
return p | ||
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@dataclass | ||
class Service: | ||
service_args: any | ||
output_dir: Path | ||
dry_run: bool | ||
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_service = None | ||
_master = None | ||
_worker = None | ||
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def __enter__(self): | ||
log_file = self.output_dir / "service.log" | ||
csv_file = self.output_dir / "service.csv" | ||
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# launch service | ||
self._service = bang( | ||
[ | ||
*("python3", "-m", "rpc.service"), | ||
*("--log", log_file), | ||
*("--csv_file_name", csv_file), | ||
*self.service_args, | ||
], | ||
self.dry_run, | ||
) | ||
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# sleep for some time | ||
if not self.dry_run: | ||
time.sleep(3) | ||
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try: | ||
# launch spark master and worker | ||
self._master = must( | ||
[ | ||
f"{SPARK_MIRROR_PATH}/sbin/start-master.sh", | ||
*("--host", "130.207.125.81"), | ||
*( | ||
"--properties-file", | ||
f"{SPARK_MIRROR_PATH}/conf/spark-dg-config.conf", | ||
), | ||
], | ||
self.dry_run, | ||
) | ||
self._worker = must( | ||
[ | ||
f"{SPARK_MIRROR_PATH}/sbin/start-worker.sh", | ||
"spark://130.207.125.81:7077", | ||
*( | ||
"--properties-file", | ||
f"{SPARK_MIRROR_PATH}/conf/spark-dg-config.conf", | ||
), | ||
], | ||
self.dry_run, | ||
) | ||
except Exception as e: | ||
self.clean() | ||
raise e | ||
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def clean(self): | ||
if self._service: | ||
self._service.wait() | ||
if self._master: | ||
must([f"{SPARK_MIRROR_PATH}/sbin/stop-master.sh"], self.dry_run) | ||
if self._worker: | ||
must([f"{SPARK_MIRROR_PATH}/sbin/stop-worker.sh"], self.dry_run) | ||
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def __exit__(self, type, value, traceback): | ||
self.clean() | ||
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@dataclass | ||
class Launcher: | ||
launcher_args: any | ||
dry_run: bool | ||
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def launch(self): | ||
must( | ||
[ | ||
*("python3", "-m", "rpc.launch_tpch_queries"), | ||
*self.launcher_args, | ||
*("--spark-mirror-path", SPARK_MIRROR_PATH), | ||
*("--tpch-spark-path", TPCH_SPARK_PATH), | ||
], | ||
self.dry_run, | ||
) | ||
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@dataclass | ||
class Experiment: | ||
name: str | ||
service_args: any | ||
launcher_args: any | ||
args: any | ||
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def run(self): | ||
output_dir = self.args.output_dir / self.name | ||
if not output_dir.exists(): | ||
output_dir.mkdir(parents=True) | ||
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with Service( | ||
service_args=self.service_args, | ||
output_dir=output_dir, | ||
dry_run=self.args.dry_run, | ||
) as s: | ||
Launcher(self.launcher_args, self.args.dry_run).launch() | ||
time.sleep(10) | ||
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def main(): | ||
parser = argparse.ArgumentParser() | ||
parser.add_argument( | ||
"--dry-run", | ||
action="store_true", | ||
help="Prints commands that will be executed for each experiment", | ||
) | ||
parser.add_argument("--output-dir", type=Path, default=Path("exp-output")) | ||
args = parser.parse_args() | ||
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if not args.output_dir.exists(): | ||
args.output_dir.mkdir(parents=True) | ||
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experiments = [ | ||
Experiment( | ||
name="testing", | ||
service_args=[ | ||
"--enforce_deadlines", | ||
"--override_worker_cpu_count", | ||
], | ||
launcher_args=["--num_queries", 1], | ||
args=args, | ||
) | ||
] | ||
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for i, experiment in enumerate(experiments): | ||
try: | ||
print(f"=== {experiment.name} ({i+1}/{len(experiments)}) ===") | ||
experiment.run() | ||
print("=== done ===") | ||
except Exception as e: | ||
print(traceback.format_exc()) | ||
print(f"Failed to run experiment '{experiment}'. Exception: '{e}'") | ||
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if __name__ == "__main__": | ||
main() |