Merge "Improve performance of api requests with hbase scan"
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2b562814cc
@ -334,7 +334,7 @@ class Connection(base.Connection):
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start=start_timestamp, start_timestamp_op=start_timestamp_op,
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end=end_timestamp, end_timestamp_op=end_timestamp_op,
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resource=resource, source=source, metaquery=metaquery)
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q, start_row, stop_row = make_sample_query_from_filter(
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q, start_row, stop_row, __ = make_sample_query_from_filter(
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sample_filter, require_meter=False)
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with self.conn_pool.connection() as conn:
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meter_table = conn.table(self.METER_TABLE)
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@ -425,17 +425,18 @@ class Connection(base.Connection):
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"""
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with self.conn_pool.connection() as conn:
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meter_table = conn.table(self.METER_TABLE)
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q, start, stop = make_sample_query_from_filter(
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q, start, stop, columns = make_sample_query_from_filter(
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sample_filter, require_meter=False)
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LOG.debug(_("Query Meter Table: %s") % q)
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gen = meter_table.scan(filter=q, row_start=start, row_stop=stop)
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gen = meter_table.scan(filter=q, row_start=start, row_stop=stop,
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columns=columns)
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for ignored, meter in gen:
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if limit is not None:
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if limit == 0:
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break
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else:
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limit -= 1
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d_meter = deserialize_entry(meter)[0]
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d_meter['message']['recorded_at'] = d_meter['recorded_at']
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yield models.Sample(**d_meter['message'])
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@ -486,10 +487,14 @@ class Connection(base.Connection):
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with self.conn_pool.connection() as conn:
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meter_table = conn.table(self.METER_TABLE)
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q, start, stop = make_sample_query_from_filter(sample_filter)
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q, start, stop, columns = make_sample_query_from_filter(
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sample_filter)
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# These fields are used in statistics' calculating
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columns.extend(['f:timestamp', 'f:counter_volume',
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'f:counter_unit'])
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meters = map(deserialize_entry, list(meter for (ignored, meter) in
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meter_table.scan(filter=q, row_start=start,
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row_stop=stop)))
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row_stop=stop, columns=columns)))
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if sample_filter.start:
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start_time = sample_filter.start
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@ -591,7 +596,7 @@ class MTable(object):
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if key in columns:
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ret[row] = data
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rows = ret
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elif filter:
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if filter:
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# TODO(jdanjou): we should really parse this properly,
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# but at the moment we are only going to support AND here
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filters = filter.split('AND')
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@ -788,6 +793,20 @@ def make_query(metaquery=None, **kwargs):
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return res_q
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def _get_meter_columns(metaquery, **kwargs):
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"""Return a list of required columns in meter table to be scanned .
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:param metaquery: optional metaquery dict
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:param kwargs: key-value pairs to filter on. Key should be a real
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column name in db
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"""
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columns = ['f:message', 'f:recorded_at']
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columns.extend(["f:%s" % k for k, v in kwargs.items() if v])
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if metaquery:
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columns.extend(["f:r_%s" % k for k, v in metaquery.items() if v])
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return columns
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def make_sample_query_from_filter(sample_filter, require_meter=True):
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"""Return a query dictionary based on the settings in the filter.
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@ -795,6 +814,7 @@ def make_sample_query_from_filter(sample_filter, require_meter=True):
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:param require_meter: If true and the filter does not have a meter,
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raise an error.
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"""
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meter = sample_filter.meter
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if not meter and require_meter:
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raise RuntimeError('Missing required meter specifier')
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@ -804,20 +824,22 @@ def make_sample_query_from_filter(sample_filter, require_meter=True):
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end=sample_filter.end, end_op=sample_filter.end_timestamp_op,
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some_id=meter)
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q = make_query(metaquery=sample_filter.metaquery,
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user_id=sample_filter.user,
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kwargs = dict(user_id=sample_filter.user,
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project_id=sample_filter.project,
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counter_name=meter,
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resource_id=sample_filter.resource,
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source=sample_filter.source,
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message_id=sample_filter.message_id)
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q = make_query(metaquery=sample_filter.metaquery, **kwargs)
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if q:
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ts_query = (" AND " + ts_query) if ts_query else ""
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res_q = q + ts_query if ts_query else q
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else:
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res_q = ts_query if ts_query else None
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return res_q, start_row, end_row
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columns = _get_meter_columns(metaquery=sample_filter.metaquery, **kwargs)
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return res_q, start_row, end_row, columns
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def _make_general_rowkey_scan(rts_start=None, rts_end=None, some_id=None):
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