use db_hist
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@ -14,16 +14,18 @@ from ..base.target_objective import (BaseTargetObjective, BaseThroughput, LESS_I
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LOG = logging.getLogger(__name__)
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LOG = logging.getLogger(__name__)
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class SummedUpDBTime(BaseTargetObjective):
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class CustomDBTime(BaseTargetObjective):
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def __init__(self):
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def __init__(self):
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super().__init__(name='summed_up_db_time', pprint='Summed Up DB Time', unit='seconds',
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super().__init__(name='custom_db_time', pprint='Custom DB Time', unit='seconds',
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short_unit='s', improvement=LESS_IS_BETTER)
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short_unit='s', improvement=LESS_IS_BETTER)
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def compute(self, metrics, observation_time):
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def compute(self, metrics, observation_time):
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total_wait_time = 0.
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total_wait_time = 0.
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for name, value in metrics.items():
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for name, value in metrics.items():
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if 'sys_time_model.db cpu' in name:
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if 'dba_hist_' not in name:
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continue
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if 'db cpu' in name:
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total_wait_time += float(value)
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total_wait_time += float(value)
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elif 'time_waited_micro_fg' in name:
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elif 'time_waited_micro_fg' in name:
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wait_time = float(value)
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wait_time = float(value)
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@ -49,7 +51,9 @@ class NormalizedDBTime(BaseTargetObjective):
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# This target objective is designed for Oracle v12.2.0.1.0
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# This target objective is designed for Oracle v12.2.0.1.0
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dbms = DBMSCatalog.objects.get(type=DBMSType.ORACLE, version='12.2.0.1.0')
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dbms = DBMSCatalog.objects.get(type=DBMSType.ORACLE, version='12.2.0.1.0')
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for name, value in metrics.items():
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for name, value in metrics.items():
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if 'sys_time_model.db cpu' in name:
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if 'dba_hist_' not in name:
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continue
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if 'db cpu' in name:
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total_wait_time += float(value)
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total_wait_time += float(value)
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elif 'average_wait_fg' in name:
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elif 'average_wait_fg' in name:
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average_wait = MetricCatalog.objects.get(dbms=dbms, name=name).default
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average_wait = MetricCatalog.objects.get(dbms=dbms, name=name).default
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@ -78,7 +82,7 @@ class RawDBTime(BaseTargetObjective):
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unit='seconds', short_unit='s', improvement=LESS_IS_BETTER)
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unit='seconds', short_unit='s', improvement=LESS_IS_BETTER)
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def compute(self, metrics, observation_time):
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def compute(self, metrics, observation_time):
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return metrics['global.sys_time_model.db time'] / 1000000.
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return metrics['global.dba_hist_sys_time_model.db time'] / 1000000.
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class TransactionCounter(BaseTargetObjective):
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class TransactionCounter(BaseTargetObjective):
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@ -88,8 +92,8 @@ class TransactionCounter(BaseTargetObjective):
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unit='transactions', short_unit='txn', improvement=MORE_IS_BETTER)
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unit='transactions', short_unit='txn', improvement=MORE_IS_BETTER)
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def compute(self, metrics, observation_time):
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def compute(self, metrics, observation_time):
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num_txns = sum(metrics[ctr] for ctr in ('global.sysstat.user commits',
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num_txns = sum(metrics[ctr] for ctr in ('global.dba_hist_sysstat.user commits',
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'global.sysstat.user rollbacks'))
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'global.dba_hist_sysstat.user rollbacks'))
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return num_txns
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return num_txns
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@ -104,8 +108,8 @@ class ElapsedTime(BaseTargetObjective):
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target_objective_list = tuple((DBMSType.ORACLE, target_obj) for target_obj in [ # pylint: disable=invalid-name
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target_objective_list = tuple((DBMSType.ORACLE, target_obj) for target_obj in [ # pylint: disable=invalid-name
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BaseThroughput(transactions_counter=('global.sysstat.user commits',
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BaseThroughput(transactions_counter=('global.dba_hist_sysstat.user commits',
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'global.sysstat.user rollbacks')),
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'global.dba_hist_sysstat.user rollbacks')),
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SummedUpDBTime(),
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SummedUpDBTime(),
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NormalizedDBTime(),
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NormalizedDBTime(),
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RawDBTime(),
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RawDBTime(),
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