pull_requests
1 row where user = 15901813
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date), closed_at (date), merged_at (date)
id ▼ | node_id | number | state | locked | title | user | body | created_at | updated_at | closed_at | merged_at | merge_commit_sha | assignee | milestone | draft | head | base | author_association | auto_merge | repo | url | merged_by |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
141017570 | MDExOlB1bGxSZXF1ZXN0MTQxMDE3NTcw | 1573 | closed | 0 | DOC: Update broken link to dask blog post | andrewdhicks 15901813 | Blog post now at https://www.anaconda.com/blog/developer-blog/xray-dask-out-core-labeled-arrays-python/ | 2017-09-14T08:56:27Z | 2017-09-14T17:04:22Z | 2017-09-14T17:04:21Z | 2017-09-14T17:04:21Z | 0c02f718090ef4bcf335ca53339bebd53e1d57d4 | 0 | a792f6fd2b0e1a5ce56fbe8737ec9a9c04af6b41 | fa6a7bee082332108d49fbbf452d04f8e7285172 | NONE | xarray 13221727 | https://github.com/pydata/xarray/pull/1573 |
Advanced export
JSON shape: default, array, newline-delimited, object
CREATE TABLE [pull_requests] ( [id] INTEGER PRIMARY KEY, [node_id] TEXT, [number] INTEGER, [state] TEXT, [locked] INTEGER, [title] TEXT, [user] INTEGER REFERENCES [users]([id]), [body] TEXT, [created_at] TEXT, [updated_at] TEXT, [closed_at] TEXT, [merged_at] TEXT, [merge_commit_sha] TEXT, [assignee] INTEGER REFERENCES [users]([id]), [milestone] INTEGER REFERENCES [milestones]([id]), [draft] INTEGER, [head] TEXT, [base] TEXT, [author_association] TEXT, [auto_merge] TEXT, [repo] INTEGER REFERENCES [repos]([id]), [url] TEXT, [merged_by] INTEGER REFERENCES [users]([id]) ); CREATE INDEX [idx_pull_requests_merged_by] ON [pull_requests] ([merged_by]); CREATE INDEX [idx_pull_requests_repo] ON [pull_requests] ([repo]); CREATE INDEX [idx_pull_requests_milestone] ON [pull_requests] ([milestone]); CREATE INDEX [idx_pull_requests_assignee] ON [pull_requests] ([assignee]); CREATE INDEX [idx_pull_requests_user] ON [pull_requests] ([user]);