jeffreythewang commented on a change in pull request #4646: Allowing limit
ordering by post-aggregation metrics
URL:
https://github.com/apache/incubator-superset/pull/4646#discussion_r175866052
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File path: superset/connectors/druid/models.py
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@@ -1134,7 +1137,11 @@ def run_query( # noqa / druid
pre_qry = deepcopy(qry)
if timeseries_limit_metric:
order_by = timeseries_limit_metric
- pre_qry['aggregations'] =
self.get_aggregations([timeseries_limit_metric])
+ aggs_dict, post_aggs_dict = DruidDatasource.aggs_and_post_aggs(
+ [timeseries_limit_metric],
+ metrics_dict)
+ pre_qry['aggregations'].update(aggs_dict)
Review comment:
For two-phase queries, replacement is fine since the `pre_qry`s only purpose
is to query for the top N groups. For single-phase queries, the `pre_qry` is
the only query that runs, so the existing metrics that are queried for must be
preserved as well.
I've written a few test scenarios for this.
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