2020-04-27 17:14:18 -07:00
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import json
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import sys
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import copy
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import argparse
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import os
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sys.path.append("../../../")
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2020-04-27 21:21:04 -07:00
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sys.path.append("../")
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2020-04-27 17:14:18 -07:00
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from server.website.website.types import VarType # pylint: disable=import-error,wrong-import-position,line-too-long # noqa: E402
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2020-04-27 21:21:04 -07:00
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from driver_config import OLTPBENCH_HOME # pylint: disable=import-error,wrong-import-position # noqa: E402
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2020-04-27 17:14:18 -07:00
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parser = argparse.ArgumentParser() # pylint: disable=invalid-name
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parser.add_argument("result_dir")
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args = parser.parse_args() # pylint: disable=invalid-name
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USER_DEINFED_METRICS = {
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2020-05-05 00:26:06 -07:00
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"throughput": {
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"unit": "transaction / second",
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"short_unit": "txn/s",
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"type": VarType.INTEGER
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2020-04-27 17:14:18 -07:00
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},
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2020-05-05 00:26:06 -07:00
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"latency_99": {
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"unit": "microseconds",
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"short_unit": "us",
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"type": VarType.INTEGER
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},
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"latency_95": {
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"unit": "microseconds",
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"short_unit": "us",
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"type": VarType.INTEGER
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2020-04-27 17:14:18 -07:00
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}
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}
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def get_udm():
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2020-04-27 21:21:04 -07:00
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summary_path = OLTPBENCH_HOME + '/results/outputfile.summary'
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with open(summary_path, 'r') as f:
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2020-04-27 17:14:18 -07:00
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info = json.load(f)
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metrics = copy.deepcopy(USER_DEINFED_METRICS)
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2020-05-05 00:26:06 -07:00
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metrics["throughput"]["value"] = info["Throughput (requests/second)"]
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metrics["latency_99"]["value"] =\
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2020-04-27 17:14:18 -07:00
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info["Latency Distribution"]["99th Percentile Latency (microseconds)"]
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2020-05-05 00:26:06 -07:00
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metrics["latency_95"]["value"] =\
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2020-04-27 17:14:18 -07:00
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info["Latency Distribution"]["95th Percentile Latency (microseconds)"]
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return metrics
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def write_udm():
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metrics = get_udm()
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result_dir = args.result_dir
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path = os.path.join(result_dir, 'user_defined_metrics.json')
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with open(path, 'w') as f:
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json.dump(metrics, f, indent=4)
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if __name__ == "__main__":
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write_udm()
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