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6 rows where author = 9599, "author_date" is on date 2019-05-03 and repo = 107914493 sorted by author_date descending

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repo 1

  • datasette · 6 ✖

author 1

  • simonw · 6 ✖
sha message author_date ▲ committer_date raw_author raw_committer repo author committer
93c65d29ba372fa2262a641c0fecb7a071d998d6 Fixed 500 error on /-/metadata page 2019-05-03T20:40:24Z 2019-05-03T20:42:59Z Simon Willison 13ae486343ea6454a93114c6f558ffea2f2c6874 Simon Willison 13ae486343ea6454a93114c6f558ffea2f2c6874 datasette 107914493 simonw 9599 simonw 9599
553314dcd699a84aa7cc806377150ca0d57a6024 Use dist: xenial and python: 3.7 on Travis (#447) 2019-05-03T18:16:52Z 2019-05-03T18:16:52Z Simon Willison 13ae486343ea6454a93114c6f558ffea2f2c6874 GitHub cd792325681cbad9f663f2879d8b69f1edbb678f datasette 107914493 simonw 9599 web-flow 19864447
01b3de5b66742f0f661183e9e2ef66be3600e831 Unit test for binary data display, refs #442 2019-05-03T16:43:59Z 2019-05-03T16:45:06Z Simon Willison 13ae486343ea6454a93114c6f558ffea2f2c6874 Simon Willison 13ae486343ea6454a93114c6f558ffea2f2c6874 datasette 107914493 simonw 9599 simonw 9599
bade9daeb234e35e216adfe5f6d99f489892b2f8 Docs for 'datasette publish cloudrun', refs #434 2019-05-03T16:16:35Z 2019-05-03T16:16:58Z Simon Willison 13ae486343ea6454a93114c6f558ffea2f2c6874 Simon Willison 13ae486343ea6454a93114c6f558ffea2f2c6874 datasette 107914493 simonw 9599 simonw 9599
53d2f00b732488e0204332da181fc256aa00f41c Implemented ArrayFacet, closes #359 2019-05-03T00:21:27Z 2019-05-03T00:21:27Z Simon Willison 13ae486343ea6454a93114c6f558ffea2f2c6874 Simon Willison 13ae486343ea6454a93114c6f558ffea2f2c6874 datasette 107914493 simonw 9599 simonw 9599
ea66c45df96479ef66a89caa71fff1a97a862646 Extract facet code out into a new plugin hook, closes #427 (#445) Datasette previously only supported one type of faceting: exact column value counting. With this change, faceting logic is extracted out into one or more separate classes which can implement other patterns of faceting - this is discussed in #427, but potential upcoming facet types include facet-by-date, facet-by-JSON-array, facet-by-many-2-many and more. A new plugin hook, register_facet_classes, can be used by plugins to add in additional facet classes. Each class must implement two methods: suggest(), which scans columns in the table to decide if they might be worth suggesting for faceting, and facet_results(), which executes the facet operation and returns results ready to be displayed in the UI. 2019-05-03T00:11:26Z 2019-05-03T00:11:26Z Simon Willison 13ae486343ea6454a93114c6f558ffea2f2c6874 GitHub cd792325681cbad9f663f2879d8b69f1edbb678f datasette 107914493 simonw 9599 web-flow 19864447

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CREATE TABLE [commits] (
   [sha] TEXT PRIMARY KEY,
   [message] TEXT,
   [author_date] TEXT,
   [committer_date] TEXT,
   [raw_author] TEXT REFERENCES [raw_authors]([id]),
   [raw_committer] TEXT REFERENCES [raw_authors]([id]),
   [repo] INTEGER REFERENCES [repos]([id]),
   [author] INTEGER REFERENCES [users]([id]),
   [committer] INTEGER REFERENCES [users]([id])
);
CREATE INDEX [idx_commits_committer]
                ON [commits] ([committer]);
CREATE INDEX [idx_commits_author]
                ON [commits] ([author]);
CREATE INDEX [idx_commits_repo]
                ON [commits] ([repo]);
CREATE INDEX [idx_commits_raw_committer]
                ON [commits] ([raw_committer]);
CREATE INDEX [idx_commits_raw_author]
                ON [commits] ([raw_author]);