github
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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639542974 | MDU6SXNzdWU2Mzk1NDI5NzQ= | 47 | Fall back to FTS4 if FTS5 is not available | 73579 | open | 0 | 3 | 2020-06-16T10:11:23Z | 2020-06-17T20:13:48Z | NONE | got this with version 0.21.1 from pypi. twitter-to-sqlite auth worked but then "twitter-to-sqlite user-timeline USER.db" produced a tracekback ending in "no such module: FTS5". | 206156866 | issue | { "url": "https://api.github.com/repos/dogsheep/twitter-to-sqlite/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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639993467 | MDU6SXNzdWU2Mzk5OTM0Njc= | 850 | Proof of concept for Datasette on AWS Lambda with EFS | 9599 | open | 0 | 25 | 2020-06-16T21:48:31Z | 2020-06-16T23:52:16Z | OWNER | https://aws.amazon.com/about-aws/whats-new/2020/06/aws-lambda-support-for-amazon-elastic-file-system-now-generally-/ If Datasette can run on Lambda with access to EFS it could both read AND write large databases there. | 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/850/reactions", "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |