issues
2 rows where "closed_at" is on date 2018-05-23 and user = 9599
This data as json, CSV (advanced)
Suggested facets: created_at (date)
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
325294102 | MDU6SXNzdWUzMjUyOTQxMDI= | 278 | Build smallest possible Docker image with Datasette plus recent SQLite (with json1) plus Spatialite 4.4.0 | simonw 9599 | closed | 0 | 3 | 2018-05-22T13:28:40Z | 2018-05-23T17:43:36Z | 2018-05-23T17:43:36Z | OWNER | A Dockerfile that does the following: * Bundles Datasette master * Python 3.6 most recent version (or 3.7 if it has been released) * SQLite 3.23.1 (or most recent release) such that "import sqite3" in Python gets that version. Ideally with the json1 module baked in by default, but having it loadable as an optional module is fine too * SpatiaLite 4.4.0-RC0 (or most recent version) such that it can be loaded as an optional module * Uses multi-stage builds to stay as small as possible Note that the current "release" of SpatiaLite is 4.3.0 which is missing key features like https://www.gaia-gis.it/fossil/libspatialite/wiki?name=KNN - 4.4.0 probably needs to be compiled from source. I don't know the best way to get a current SQLite version bundled for Python 3. Maybe https://github.com/coleifer/pysqlite3 ? | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/278/reactions", "total_count": 2, "+1": 2, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
325705981 | MDU6SXNzdWUzMjU3MDU5ODE= | 282 | Faceting breaks pagination | simonw 9599 | closed | 0 | 1 | 2018-05-23T13:29:47Z | 2018-05-23T13:53:39Z | 2018-05-23T13:42:07Z | OWNER | e.g. on https://fivethirtyeight.datasettes.com/fivethirtyeight-5de27e3/nba-elo%2Fnbaallelo?_facet=lg_id#facet-lg_id - click the "next page" link: https://fivethirtyeight.datasettes.com/fivethirtyeight-5de27e3/nba-elo%2Fnbaallelo?_facet=lg_id&_next=100 Invalid SQL: near "and": syntax error | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/282/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed |
Advanced export
JSON shape: default, array, newline-delimited, object
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]);