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489240609 https://github.com/simonw/datasette/issues/448#issuecomment-489240609 https://api.github.com/repos/simonw/datasette/issues/448 MDEyOklzc3VlQ29tbWVudDQ4OTI0MDYwOQ== simonw 9599 2019-05-03T21:09:13Z 2019-05-03T21:09:13Z OWNER It may be that some facet implementations (`ArrayFacet` in this case) need a way to detect if they are supported by the thing they are running against (must be a rowid table in this case) and avoid suggesting themselves if they are not compatible. This may require a change to the information we make available to the `suggest()` method (information passed to the Facet class constructor). {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} _facet_array should work against views 440222719  
969436930 https://github.com/simonw/datasette/issues/448#issuecomment-969436930 https://api.github.com/repos/simonw/datasette/issues/448 IC_kwDOBm6k_c45yG8C simonw 9599 2021-11-15T23:31:58Z 2021-11-15T23:31:58Z OWNER I think this SQL recipe may work instead: ```sql select * from ads_with_targets where 'people_who_match:interests:African-American Civil Rights Movement (1954—68)' in ( select value from json_each(target_names) ) and 'interests:Martin Luther King III' in ( select value from json_each(target_names) ) ``` https://json-view-facet-bug-demo-j7hipcg4aq-uc.a.run.app/russian-ads?sql=select%0D%0A++*%0D%0Afrom%0D%0A++ads_with_targets%0D%0Awhere%0D%0A++%27people_who_match%3Ainterests%3AAfrican-American+Civil+Rights+Movement+%281954%E2%80%9468%29%27+in+%28%0D%0A++++select%0D%0A++++++value%0D%0A++++from%0D%0A++++++json_each%28target_names%29%0D%0A++%29%0D%0A++and+%27interests%3AMartin+Luther+King+III%27+in+%28%0D%0A++++select%0D%0A++++++value%0D%0A++++from%0D%0A++++++json_each%28target_names%29%0D%0A++%29&interests=&African=&Martin= {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} _facet_array should work against views 440222719  
969440918 https://github.com/simonw/datasette/issues/448#issuecomment-969440918 https://api.github.com/repos/simonw/datasette/issues/448 IC_kwDOBm6k_c45yH6W simonw 9599 2021-11-15T23:40:17Z 2021-11-15T23:40:35Z OWNER Applied that fix to the `arraycontains` filter but I'm still getting bad results for the faceting: <img width="915" alt="russian-ads__ads_with_targets__172_rows_where_where_target_names_contains__people_who_match_interests_African-American_culture__and_datasette_—_pipenv_shell_▸_python_—_80×24" src="https://user-images.githubusercontent.com/9599/141869800-0092e0e1-005e-43bc-bac5-bf0e159224a8.png"> Should never get 182 results on a page that faceting against only 172 items. {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} _facet_array should work against views 440222719  
969442215 https://github.com/simonw/datasette/issues/448#issuecomment-969442215 https://api.github.com/repos/simonw/datasette/issues/448 IC_kwDOBm6k_c45yIOn simonw 9599 2021-11-15T23:42:03Z 2021-11-15T23:42:03Z OWNER I think this code is wrong in the `ArrayFacet` class: https://github.com/simonw/datasette/blob/502c02fa6dde6a8bb840af6c4c8cf858aa1db687/datasette/facets.py#L357-L364 {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} _facet_array should work against views 440222719  
969446972 https://github.com/simonw/datasette/issues/448#issuecomment-969446972 https://api.github.com/repos/simonw/datasette/issues/448 IC_kwDOBm6k_c45yJY8 simonw 9599 2021-11-15T23:46:13Z 2021-11-15T23:46:13Z OWNER It looks like the problem here is that some of the tags occur more than once in the documents: <img width="1146" alt="russian-ads__ads_with_targets__172_rows_where_where_target_names_contains__people_who_match_interests_African-American_culture_" src="https://user-images.githubusercontent.com/9599/141870312-5ffe7151-826e-42e0-b1cc-36c46de6b618.png"> So they get counted more than once, hence the 182 count for something that couldn't possibly return more than 172 documents. {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} _facet_array should work against views 440222719  
969449772 https://github.com/simonw/datasette/issues/448#issuecomment-969449772 https://api.github.com/repos/simonw/datasette/issues/448 IC_kwDOBm6k_c45yKEs simonw 9599 2021-11-15T23:48:37Z 2021-11-15T23:48:37Z OWNER Given this query: https://json-view-facet-bug-demo-j7hipcg4aq-uc.a.run.app/russian-ads?sql=select%0D%0A++j.value+as+value%2C%0D%0A++count%28*%29+as+count%0D%0Afrom%0D%0A++%28%0D%0A++++select%0D%0A++++++id%2C%0D%0A++++++file%2C%0D%0A++++++clicks%2C%0D%0A++++++impressions%2C%0D%0A++++++text%2C%0D%0A++++++url%2C%0D%0A++++++spend_amount%2C%0D%0A++++++spend_currency%2C%0D%0A++++++created%2C%0D%0A++++++ended%2C%0D%0A++++++target_names%0D%0A++++from%0D%0A++++++ads_with_targets%0D%0A++++where%0D%0A++++++%3Ap0+in+%28%0D%0A++++++++select%0D%0A++++++++++value%0D%0A++++++++from%0D%0A++++++++++json_each%28%5Bads_with_targets%5D.%5Btarget_names%5D%29%0D%0A++++++%29%0D%0A++%29%0D%0A++join+json_each%28target_names%29+j%0D%0Agroup+by%0D%0A++j.value%0D%0Aorder+by%0D%0A++count+desc%2C%0D%0A++value%0D%0Alimit%0D%0A++31&p0=people_who_match%3Ainterests%3AAfrican-American+culture ```sql select j.value as value, count(*) as count from ( select id, file, clicks, impressions, text, url, spend_amount, spend_currency, created, ended, target_names from ads_with_targets where :p0 in ( select value from json_each([ads_with_targets].[target_names]) ) ) join json_each(target_names) j group by j.value order by count desc, value limit 31 ``` How can I return a count of the number of documents containing each tag, but not the number of total tags that match including duplicates? {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} _facet_array should work against views 440222719  
969557008 https://github.com/simonw/datasette/issues/448#issuecomment-969557008 https://api.github.com/repos/simonw/datasette/issues/448 IC_kwDOBm6k_c45ykQQ simonw 9599 2021-11-16T00:56:09Z 2021-11-16T00:59:59Z OWNER This looks like it might work: ```sql with inner as ( select * from ads_with_targets where :p0 in ( select value from json_each([ads_with_targets].[target_names]) ) ), deduped_array_items as ( select distinct j.value, inner.* from json_each([inner].[target_names]) j join inner ) select value, count(*) from deduped_array_items group by value order by count(*) desc ``` {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} _facet_array should work against views 440222719  
969557972 https://github.com/simonw/datasette/issues/448#issuecomment-969557972 https://api.github.com/repos/simonw/datasette/issues/448 IC_kwDOBm6k_c45ykfU simonw 9599 2021-11-16T00:56:58Z 2021-11-16T00:56:58Z OWNER It uses a CTE which were introduced in SQLite 3.8 - and AWS Lambda Python 3.9 still provides 3.7 - but I've checked and I can use `pysqlite3-binary` to work around that there so I'm OK relying on CTEs for this. {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} _facet_array should work against views 440222719  
969572281 https://github.com/simonw/datasette/issues/448#issuecomment-969572281 https://api.github.com/repos/simonw/datasette/issues/448 IC_kwDOBm6k_c45yn-5 simonw 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} _facet_array should work against views 440222719  
969578466 https://github.com/simonw/datasette/issues/448#issuecomment-969578466 https://api.github.com/repos/simonw/datasette/issues/448 IC_kwDOBm6k_c45ypfi simonw 9599 2021-11-16T01:08:29Z 2021-11-16T01:08:29Z OWNER Actually with the cache warmed up it looks like the facet query is taking 150ms which is good enough. {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} _facet_array should work against views 440222719  
969582098 https://github.com/simonw/datasette/issues/448#issuecomment-969582098 https://api.github.com/repos/simonw/datasette/issues/448 IC_kwDOBm6k_c45yqYS simonw 9599 2021-11-16T01:10:28Z 2021-11-16T01:10:28Z OWNER Also note that this demo data is using a SQL view to create the JSON arrays - the view is defined as such: ```sql CREATE VIEW ads_with_targets as select ads.*, json_group_array(targets.name) as target_names from ads join ad_targets on ad_targets.ad_id = ads.id join targets on ad_targets.target_id = targets.id group by ad_targets.ad_id; ``` So running JSON faceting on top of that view is a pretty big ask! {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} _facet_array should work against views 440222719  
969621662 https://github.com/simonw/datasette/issues/448#issuecomment-969621662 https://api.github.com/repos/simonw/datasette/issues/448 IC_kwDOBm6k_c45y0Ce simonw 9599 2021-11-16T01:32:04Z 2021-11-16T01:32:04Z OWNER Tests are failing and I think it's because the facets come back in different orders, need a tie-breaker. https://github.com/simonw/datasette/runs/4219325197?check_suite_focus=true {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} _facet_array should work against views 440222719  

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