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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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471818939 | MDU6SXNzdWU0NzE4MTg5Mzk= | 48 | Jupyter notebook demo of the library, launchable on Binder | 9599 | closed | 0 | 2 | 2019-07-23T17:05:05Z | 2022-01-26T02:08:46Z | 2022-01-26T02:08:39Z | OWNER | 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/48/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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471780443 | MDU6SXNzdWU0NzE3ODA0NDM= | 46 | extracts= option for insert/update/etc | 9599 | closed | 0 | 3 | 2019-07-23T15:55:46Z | 2020-03-01T16:53:40Z | 2019-07-23T17:00:44Z | OWNER | Relates to #42 and #44. I want the ability to extract values out into lookup tables during bulk insert/upsert operations. `db.insert_all(rows, extracts=["species"])` - creates species table for values in the species column `db.insert_all(rows, extracts={"species": "Species"})` - as above but the new table is called `Species`. | 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/46/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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471797101 | MDExOlB1bGxSZXF1ZXN0MzAwMzc3NTk5 | 47 | extracts= table parameter | 9599 | closed | 0 | 0 | 2019-07-23T16:30:29Z | 2019-07-23T17:00:43Z | 2019-07-23T17:00:43Z | OWNER | simonw/sqlite-utils/pulls/47 | Still needs docs. Refs #46 | 140912432 | pull | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/47/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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471628483 | MDU6SXNzdWU0NzE2Mjg0ODM= | 44 | Utilities for building lookup tables | 9599 | closed | 0 | 2 | 2019-07-23T10:59:58Z | 2019-07-23T13:07:01Z | 2019-07-23T13:07:01Z | OWNER | While building https://github.com/dogsheep/healthkit-to-sqlite I found a need for a neat mechanism for easily building lookup tables - tables where each unique value in a column is replaced by a foreign key to a separate table. csvs-to-sqlite currently creates those with its "extract" mechanism - but that's written as custom code against Pandas. I'd like to eventually replace Pandas with sqlite-utils there. See also #42 | 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/44/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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471684708 | MDExOlB1bGxSZXF1ZXN0MzAwMjg2NTM1 | 45 | Implemented table.lookup(...), closes #44 | 9599 | closed | 0 | 0 | 2019-07-23T13:03:30Z | 2019-07-23T13:07:00Z | 2019-07-23T13:07:00Z | OWNER | simonw/sqlite-utils/pulls/45 | 140912432 | pull | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/45/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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