issue_comments: 969572281
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| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | issue | performed_via_github_app |
|---|---|---|---|---|---|---|---|---|---|---|---|
| https://github.com/simonw/datasette/issues/448#issuecomment-969572281 | https://api.github.com/repos/simonw/datasette/issues/448 | 969572281 | IC_kwDOBm6k_c45yn-5 | 9599 | 2021-11-16T01:05:11Z | 2021-11-16T01:05:11Z | OWNER | I tried this and it seems to work correctly: ```python for source_and_config in self.get_configs(): config = source_and_config["config"] source = source_and_config["source"] column = config.get("column") or config["simple"] facet_sql = """ with inner as ({sql}), deduped_array_items as ( select distinct j.value, inner.* from json_each([inner].{col}) j join inner ) select value as value, count(*) as count from deduped_array_items group by value order by count(*) desc limit {limit} """.format( col=escape_sqlite(column), sql=self.sql, limit=facet_size + 1 ) ``` The queries are _very_ slow though - I had to bump up to 2s time limit even against only a view returning 3,499 rows. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | 440222719 |