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2 rows where "created_at" is on date 2019-11-04, issue = 488833975 and user = 9599 sorted by updated_at descending

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  • simonw · 2 ✖

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  • Command for running a search and saving tweets for that search · 2 ✖

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  • MEMBER 2
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions issue performed_via_github_app
549228535 https://github.com/dogsheep/twitter-to-sqlite/issues/3#issuecomment-549228535 https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/3 MDEyOklzc3VlQ29tbWVudDU0OTIyODUzNQ== simonw 9599 2019-11-04T05:31:55Z 2019-11-04T05:31:55Z MEMBER

Documented here: https://github.com/dogsheep/twitter-to-sqlite/blob/801c0c2daf17d8abce9dcb5d8d610410e7e25dbe/README.md#running-searches

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Command for running a search and saving tweets for that search 488833975  
549226399 https://github.com/dogsheep/twitter-to-sqlite/issues/3#issuecomment-549226399 https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/3 MDEyOklzc3VlQ29tbWVudDU0OTIyNjM5OQ== simonw 9599 2019-11-04T05:11:57Z 2019-11-04T05:11:57Z MEMBER

I'm going to add a hash column to search_runs to support that. It's going to be the sha1 hash of the key-ordered JSON of the search arguments used by that run. Then --since can look for an identical hash and use it to identify the highest last fetched tweet to use in since_id.

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Command for running a search and saving tweets for that search 488833975  

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   [html_url] TEXT,
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