issue_comments: 969572281

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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.

 
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