01b4ec3f531e07b8c4a32a13288c963ad8b4b843,server/website/website/db/myrocks/parser.py,MyRocksParser,convert_dbms_metrics,#MyRocksParser#Any#Any#Any#,148

Before Change

                    raise Exception("Unknown metric type for {}: {}".format(
                        name, metadata.metric_type))

        if target_objective is not None and self.target_metric(target_objective) not in metric_data:
            raise Exception("Cannot find objective function")

        if target_objective is not None:
            metric_data[target_objective] = metric_data[self.target_metric(target_objective)]
        else:
            // default
            metric_data["throughput_txn_per_sec"] = \
                metric_data[self.target_metric(target_objective)]
        return metric_data

    def convert_dbms_knobs(self, knobs):
        knob_data = {}

After Change

        return valid_metrics, diffs

    def convert_dbms_metrics(self, metrics, observation_time, target_objective):
        base_metric_data = {}
        metric_data = {}
        for name, value in list(metrics.items()):
            prt_name = self.partial_name(name)

            if prt_name in self.numeric_metric_catalog_:
                metadata = self.numeric_metric_catalog_[prt_name]

                if metadata.vartype == VarType.INTEGER:
                    converted = float(self.convert_integer(value, metadata))
                elif metadata.vartype == VarType.REAL:
                    converted = self.convert_real(value, metadata)
                else:
                    raise ValueError(
                        ("Found non-numeric metric "{}" in the numeric "
                         "metric catalog: value={}, type={}").format(
                             name, value, VarType.name(metadata.vartype)))

                if metadata.metric_type == MetricType.COUNTER:
                    assert isinstance(converted, float)
                    base_metric_data[name] = converted
                    metric_data[name] = converted / observation_time
                elif metadata.metric_type == MetricType.STATISTICS:
                    assert isinstance(converted, float)
                    base_metric_data[name] = converted
                    metric_data[name] = converted
                else:
                    raise ValueError(
                        "Unknown metric type for {}: {}".format(name, metadata.metric_type))

Instances