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2 rows where "created_at" is on date 2019-07-22
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id ▼ | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at | closed_at | author_association | pull_request | body | repo | type | active_lock_reason | performed_via_github_app | reactions | draft | state_reason |
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470856782 | MDU6SXNzdWU0NzA4NTY3ODI= | 6 | Break up records into different tables for each type | simonw 9599 | closed | 0 | 1 | 2019-07-22T01:54:59Z | 2019-07-22T03:28:55Z | 2019-07-22T03:28:50Z | MEMBER | I don't think there's much benefit to having all of the different record types stored in the same enormous table. Here's what I get when I use `_facet=type`: <img width="358" alt="hello2__records__2_672_233_rows" src="https://user-images.githubusercontent.com/9599/61601118-e2f54d00-abe8-11e9-8bf6-3df2ef969112.png"> I'm going to try splitting these up into separate tables - so `HKQuantityTypeIdentifierBodyMassIndex` becomes a table called `rBodyMassIndex` - and see if that's nicer to work with. | healthkit-to-sqlite 197882382 | issue | {"url": "https://api.github.com/repos/dogsheep/healthkit-to-sqlite/issues/6/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
471292050 | MDU6SXNzdWU0NzEyOTIwNTA= | 563 | incorrect json url for row-level data? | rprimet 10352819 | closed | 0 | 0 | 2019-07-22T19:59:38Z | 2019-10-21T02:03:09Z | 2019-10-21T02:03:09Z | CONTRIBUTOR | While visiting [this example page](https://register-of-members-interests.datasettes.com/regmem-98dc8b7/people/uk.org.publicwhip%2Fperson%2F10001) (linked from Datasette documentation), manually clicking on [the link](https://register-of-members-interests.datasettes.com/regmem-98dc8b7/people/uk.org.publicwhip%2Fperson%2F10001?_format=json) ("This data as .json") to the json data results in an error 500 `data() got an unexpected keyword argument 'as_format'` The [JSON page linked to from the documentation](https://register-of-members-interests.datasettes.com/regmem-d22c12c/people/uk.org.publicwhip%2Fperson%2F10001.json) however is correct (the page address ends in `.json` rather than using a query string `?format=json`) This particular datasette demo page is now a few versions behind, but I was able to reproduce the issue using v0.29.2 and a downloaded copy of the demo database (and also with the current HEAD). Here is a stack trace: ``` Traceback (most recent call last): File "/home/romain/miniconda3/envs/dsbug/lib/python3.7/site-packages/datasette/utils/asgi.py", line 101, in __call__ return await view(new_scope, receive, send) File "/home/romain/miniconda3/envs/dsbug/lib/python3.7/site-packages/datasette/utils/asgi.py", line 173, in view request, **scope["url_route"]["kwargs"] File "/home/romain/miniconda3/envs/dsbug/lib/python3.7/site-packages/datasette/views/base.py", line 267, in get request, database, hash, correct_hash_provided, **kwargs File "/home/romain/miniconda3/envs/dsbug/lib/python3.7/site-packages/datasette/views/base.py", line 399, in view_get request, database, hash, **kwargs TypeError: data() got an unexpected keyword argument 'as_format' ``` | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/563/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed |
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CREATE TABLE [issues] ( [id] INTEGER PRIMARY KEY, [node_id] TEXT, [number] INTEGER, [title] TEXT, [user] INTEGER REFERENCES [users]([id]), [state] TEXT, [locked] INTEGER, [assignee] INTEGER REFERENCES [users]([id]), [milestone] INTEGER REFERENCES [milestones]([id]), [comments] INTEGER, [created_at] TEXT, [updated_at] TEXT, [closed_at] TEXT, [author_association] TEXT, [pull_request] TEXT, [body] TEXT, [repo] INTEGER REFERENCES [repos]([id]), [type] TEXT , [active_lock_reason] TEXT, [performed_via_github_app] TEXT, [reactions] TEXT, [draft] INTEGER, [state_reason] TEXT); CREATE INDEX [idx_issues_repo] ON [issues] ([repo]); CREATE INDEX [idx_issues_milestone] ON [issues] ([milestone]); CREATE INDEX [idx_issues_assignee] ON [issues] ([assignee]); CREATE INDEX [idx_issues_user] ON [issues] ([user]);