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  • simonw · 1 ✖

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  • Improve performance of extract operations · 1 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions issue performed_via_github_app
698178101 https://github.com/simonw/sqlite-utils/issues/172#issuecomment-698178101 https://api.github.com/repos/simonw/sqlite-utils/issues/172 MDEyOklzc3VlQ29tbWVudDY5ODE3ODEwMQ== simonw 9599 2020-09-24T07:48:57Z 2020-09-24T07:49:20Z OWNER

I wonder if I could make this faster by separating it out into a few steps:

* Create the new lookup table with all of the distinct rows

* Add the blank foreign key column

* run a `UPDATE table SET blah_id = (select id from lookup where thang = table.thang)`

* Drop the value columns

My prototype of this knocked the time down from 10 minutes to 4 seconds, so I think the change is worth it! ``` % date sqlite-utils extract salaries.db salaries \ 'Department Code' 'Department' \ --table 'departments' \ --fk-column 'department_id' \ --rename 'Department Code' code \ --rename 'Department' name date sqlite-utils extract salaries.db salaries \ 'Union Code' 'Union' \ --table 'unions' \ --fk-column 'union_id' \ --rename 'Union Code' code \ --rename 'Union' name date sqlite-utils extract salaries.db salaries \ 'Job Family Code' 'Job Family' \ --table 'job_families' \ --fk-column 'job_family_id' \ --rename 'Job Family Code' code \ --rename 'Job Family' name date sqlite-utils extract salaries.db salaries \ 'Job Code' 'Job' \ --table 'jobs' \ --fk-column 'job_id' \ --rename 'Job Code' code \ --rename 'Job' name date Thu Sep 24 00:48:16 PDT 2020

Thu Sep 24 00:48:20 PDT 2020

Thu Sep 24 00:48:24 PDT 2020

Thu Sep 24 00:48:28 PDT 2020

Thu Sep 24 00:48:32 PDT 2020 ```

 
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 Improve performance of extract operations 707427200  

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