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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 |
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688625430 | https://github.com/dogsheep/dogsheep-beta/issues/19#issuecomment-688625430 | https://api.github.com/repos/dogsheep/dogsheep-beta/issues/19 | MDEyOklzc3VlQ29tbWVudDY4ODYyNTQzMA== | simonw 9599 | 2020-09-08T05:24:50Z | 2020-09-08T05:24:50Z | MEMBER | I thought about allowing tables to define a incremental indexing SQL query - maybe something that can return just records touched in the past hour, or records since a recorded "last indexed record" value. The problem with this is deletes - if you delete a record, how does the indexer know to remove it? See #18 - that's already caused problems. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Figure out incremental re-indexing 695556681 | |
688626037 | https://github.com/dogsheep/dogsheep-beta/issues/19#issuecomment-688626037 | https://api.github.com/repos/dogsheep/dogsheep-beta/issues/19 | MDEyOklzc3VlQ29tbWVudDY4ODYyNjAzNw== | simonw 9599 | 2020-09-08T05:27:07Z | 2020-09-08T05:27:07Z | MEMBER | A really clever way to do this would be with triggers. The indexer script would add triggers to each of the database tables that it is indexing - each in their own database. Those triggers would then maintain a `_index_queue_` table. This table would record the primary key of rows that are added, modified or deleted. The indexer could then work by reading through the `_index_queue_` table, re-indexing (or deleting) just the primary keys listed there, and then emptying the queue once it has finished. This would add a small amount of overhead to insert/update/delete queries run against the table. My hunch is that the overhead would be miniscule, but I could still allow people to opt-out for tables that are so high traffic that this would matter. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Figure out incremental re-indexing 695556681 |
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