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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 | repo | url | merged_by | auto_merge |
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189723716 | MDExOlB1bGxSZXF1ZXN0MTg5NzIzNzE2 | 280 | closed | 0 | Build Dockerfile with recent Sqlite + Spatialite | r4vi 565628 | This solves #278 without bloating the Dockerfile too much, the image size is now 495MB (original was ~240MB) but it could be reduced significantly if we only copied the output of the compilation of spatialite and friends to /usr/local/lib, instead of the entirety of it however that will take more time. In the python code change references to `import sqlite3` to `import pysqlite3` and it should use the compiled version of sqlite3.23.1. You don't need to try/except because pysqlite3 falls back to builtin sqlite3 if there is no compiled version. ```bash $ docker run --rm -it datasette spatialite SpatiaLite version ..: 4.4.0-RC0 Supported Extensions: - 'VirtualShape' [direct Shapefile access] - 'VirtualDbf' [direct DBF access] - 'VirtualXL' [direct XLS access] - 'VirtualText' [direct CSV/TXT access] - 'VirtualNetwork' [Dijkstra shortest path] - 'RTree' [Spatial Index - R*Tree] - 'MbrCache' [Spatial Index - MBR cache] - 'VirtualSpatialIndex' [R*Tree metahandler] - 'VirtualElementary' [ElemGeoms metahandler] - 'VirtualKNN' [K-Nearest Neighbors metahandler] - 'VirtualXPath' [XML Path Language - XPath] - 'VirtualFDO' [FDO-OGR interoperability] - 'VirtualGPKG' [OGC GeoPackage interoperability] - 'VirtualBBox' [BoundingBox tables] - 'SpatiaLite' [Spatial SQL - OGC] PROJ.4 version ......: Rel. 4.9.3, 15 August 2016 GEOS version ........: 3.5.1-CAPI-1.9.1 r4246 TARGET CPU ..........: x86_64-linux-gnu the SPATIAL_REF_SYS table already contains some row(s) SQLite version ......: 3.23.1 Enter ".help" for instructions SQLite version 3.23.1 2018-04-10 17:39:29 Enter ".help" for instructions Enter SQL statements terminated with a ";" spatialite> ``` ```bash $ docker run --rm -it datasette python -c "import pysqlite3; print(pysqlite3.sqlite_version)" 3.23.1 ``` | 2018-05-22T16:33:50Z | 2018-06-28T11:26:23Z | 2018-05-23T17:43:35Z | 2018-05-23T17:43:35Z | bd30c696e18927207358ee9d63174a5c41c8297e | 0 | 5cf78eded61cacec435b854e18f1e94511cf2da8 | 58b5a37dbbf13868a46bcbb284509434e66eca25 | CONTRIBUTOR | datasette 107914493 | https://github.com/simonw/datasette/pull/280 |
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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, [repo] INTEGER REFERENCES [repos]([id]), [url] TEXT, [merged_by] INTEGER REFERENCES [users]([id]) , [auto_merge] TEXT); 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]);