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Posted to dev@superset.apache.org by GitBox <gi...@apache.org> on 2018/03/20 20:22:40 UTC
[GitHub] jeffreythewang commented on a change in pull request #4646: [BugFix] Allowing limit ordering by post-aggregation metrics
jeffreythewang commented on a change in pull request #4646: [BugFix] 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.
This situation may not be as obvious since the Table View (in my experience, the view most frequently used for single-phase queries) rarely uses the Sort By field and instead just sorts via the Table UI. I've written a few tests for the scenarios where single-phase queries run with an order and limit specified.
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