def _get_aggregated_query(self, start, limit):
max_size = (start or 0) + (limit or 0)
query = HQESQuery(self.table_name).size(0)
for filter in self.filters:
query = query.filter(filter)
innermost_agg_col = self.aggregation_columns[-1]
innermost_agg = TermsAggregation(innermost_agg_col,
innermost_agg_col,
size=max_size)
aggregations = []
for col in self.top_level_columns:
for agg in col.aggregations(self.config, self.lang):
innermost_agg.aggregation(agg)
top_agg = innermost_agg
# go through aggregations in reverse order so that they are nested properly
# todo: Refactor NestedTermAggregationsHelper to support this use case
for agg_column in self.aggregation_columns[:-1][::-1]:
top_agg = TermsAggregation(agg_column, agg_column,
size=max_size).aggregation(top_agg)
if self.order_by:
# todo sort by more than one column
# todo sort by by something other than the first aggregate column
col, desc = self.order_by[0]
if col == self.aggregation_columns[
0] or col == self.top_level_columns[0].field:
top_agg = top_agg.order('_term', desc)
query = query.aggregation(top_agg)
return query.run()
def _get_aggregated_query(self, start, limit):
max_size = (start or 0) + (limit or 0)
query = HQESQuery(self.table_name).size(0)
for filter in self.filters:
query = query.filter(filter)
innermost_agg_col = self.aggregation_columns[-1]
innermost_agg = TermsAggregation(innermost_agg_col, innermost_agg_col, size=max_size)
aggregations = []
for col in self.top_level_columns:
for agg in col.aggregations(self.config, self.lang):
innermost_agg.aggregation(agg)
top_agg = innermost_agg
# go through aggregations in reverse order so that they are nested properly
for agg_column in self.aggregation_columns[:-1][::-1]:
top_agg = TermsAggregation(agg_column, agg_column, size=max_size).aggregation(top_agg)
if self.order_by:
col, desc = self.order_by[0]
valid_columns = (
self.aggregation_columns[0],
self.top_level_columns[0].field,
self.top_level_columns[0].column_id
)
if col in valid_columns:
top_agg = top_agg.order('_term', desc)
query = query.aggregation(top_agg)
return query.run()
def _get_aggregated_query(self, start, limit):
max_size = (start or 0) + (limit or 0)
query = HQESQuery(self.table_name).size(0)
for filter in self.filters:
query = query.filter(filter)
innermost_agg_col = self.aggregation_columns[-1]
innermost_agg = TermsAggregation(innermost_agg_col, innermost_agg_col)
aggregations = []
for col in self.top_level_columns:
for agg in col.aggregations(self.config, self.lang):
innermost_agg.aggregation(agg)
top_agg = innermost_agg
# go through aggregations in reverse order so that they are nested properly
# todo: Refactor NestedTermAggregationsHelper to support this use case
for agg_column in self.aggregation_columns[:-1][::-1]:
top_agg = TermsAggregation(agg_column, agg_column).aggregation(top_agg)
top_agg.size(max_size)
if self.order_by:
# todo sort by more than one column
# todo sort by by something other than the first aggregate column
col, desc = self.order_by[0]
if col == self.aggregation_columns[0] or col == self.top_level_columns[0].field:
top_agg = top_agg.order('_term', desc)
query = query.aggregation(top_agg)
return query.run()
def _get_aggregated_query(self, start, limit):
max_size = (start or 0) + (limit or 0)
query = HQESQuery(self.table_name).size(0)
for filter in self.filters:
query = query.filter(filter)
top_agg = TermsAggregation(self.aggregation_columns[0],
self.aggregation_columns[0],
size=max_size)
for agg_column in self.aggregation_columns[1:]:
# todo support multiple aggregations
pass
aggregations = []
for col in self.top_level_columns:
if col.type == 'expanded':
for sub_col in get_expanded_column_config(
self.config, col, 'en').columns:
aggregations.append(sub_col.aggregation)
elif col.type == 'field':
if col.aggregation == 'sum':
# todo push this to the column
aggregations.append(SumAggregation(col.field, col.field))
for agg in aggregations:
top_agg = top_agg.aggregation(agg)
if self.order_by:
# todo sort by more than one column
# todo sort by by something other than the first aggregate column
col, desc = self.order_by[0]
if col == self.aggregation_columns[
0] or col == self.top_level_columns[0].field:
top_agg = top_agg.order('_count', desc)
query = query.aggregation(top_agg)
return query.run()