{"ok": true, "database": "tils", "table": "til", "rows": [{"path": "bash_escaping-sql-for-curl-to-datasette.md", "topic": "bash", "title": "Escaping a SQL query to use with curl and Datasette", "url": "https://github.com/simonw/til/blob/main/bash/escaping-sql-for-curl-to-datasette.md", "body": "I used this pattern to pass a SQL query to Datasette's CSV export via curl and output the results, stripping off the first row (the header row) using `tail -n +2`.\n\nSQL queries need to be URL-encoded - I did that be echoing the SQL query and piping it to a Python one-liner that calls the `urllib.parse.quote()` function.\n\n```bash\ncurl -s \"https://github-to-sqlite.dogsheep.net/github.csv?sql=$(echo '\nselect\n  full_name\nfrom\n  repos\nwhere\n  rowid in (\n    select\n      repos.rowid\n    from\n      repos,\n      json_each(repos.topics) j\n    where\n      j.value = \"datasette-io\"\n  )\n  and rowid in (\n    select\n      repos.rowid\n    from\n      repos,\n      json_each(repos.topics) j\n    where\n      j.value = \"datasette-plugin\"\n  )\norder by\n  updated_at desc\n' | python3 -c \\\n  'import sys; import urllib.parse; print(urllib.parse.quote(sys.stdin.read()))')\" \\\n  | tail -n +2\n```\nHere's [that SQL query](https://github-to-sqlite.dogsheep.net/github?sql=select%0D%0A++full_name%0D%0Afrom%0D%0A++repos%0D%0Awhere%0D%0A++rowid+in+%28%0D%0A++++select%0D%0A++++++repos.rowid%0D%0A++++from%0D%0A++++++repos%2C%0D%0A++++++json_each%28repos.topics%29+j%0D%0A++++where%0D%0A++++++j.value+%3D+%22datasette-io%22%0D%0A++%29%0D%0A++and+rowid+in+%28%0D%0A++++select%0D%0A++++++repos.rowid%0D%0A++++from%0D%0A++++++repos%2C%0D%0A++++++json_each%28repos.topics%29+j%0D%0A++++where%0D%0A++++++j.value+%3D+%22datasette-plugin%22%0D%0A++%29%0D%0Aorder+by%0D%0A++updated_at+desc) in the Datasette web UI.\n\nThe output from the bash one-liner looks like this:\n```\nsimonw/datasette-edit-schema\nsimonw/datasette-import-table\nsimonw/datasette-dateutil\nsimonw/datasette-seaborn\nsimonw/datasette-backup\nsimonw/datasette-yaml\nsimonw/datasette-schema-versions\nsimonw/datasette-graphql\nsimonw/datasette-insert\nsimonw/datasette-copyable\nsimonw/datasette-auth-passwords\nsimonw/datasette-glitch\nsimonw/datasette-block-robots\nsimonw/datasette-saved-queries\nsimonw/datasette-psutil\nsimonw/datasette-auth-tokens\nsimonw/datasette-permissions-sql\nsimonw/datasette-media\nsimonw/datasette-atom\nsimonw/datasette-vega\nsimonw/datasette-jellyfish\nsimonw/datasette-leaflet-geojson\nsimonw/datasette-template-sql\nsimonw/datasette-render-markdown\nsimonw/datasette-auth-github\nsimonw/datasette-mask-columns\nsimonw/datasette-jq\nsimonw/datasette-cluster-map\nsimonw/datasette-upload-csvs\nsimonw/datasette-publish-fly\nsimonw/datasette-render-images\nsimonw/datasette-render-timestamps\nsimonw/datasette-configure-fts\nsimonw/datasette-search-all\nsimonw/datasette-render-html\nsimonw/datasette-show-errors\nsimonw/datasette-column-inspect\nsimonw/datasette-ics\nsimonw/datasette-json-html\nsimonw/datasette-pretty-json\nsimonw/datasette-sqlite-fts4\nsimonw/datasette-bplist\nsimonw/datasette-render-binary\nsimonw/datasette-rure\nsimonw/datasette-haversine\n```", "html": "<p>I used this pattern to pass a SQL query to Datasette's CSV export via curl and output the results, stripping off the first row (the header row) using <code>tail -n +2</code>.</p>\n<p>SQL queries need to be URL-encoded - I did that be echoing the SQL query and piping it to a Python one-liner that calls the <code>urllib.parse.quote()</code> function.</p>\n<div class=\"highlight highlight-source-shell\"><pre>curl -s <span class=\"pl-s\"><span class=\"pl-pds\">\"</span>https://github-to-sqlite.dogsheep.net/github.csv?sql=<span class=\"pl-s\"><span class=\"pl-pds\">$(</span>echo <span class=\"pl-s\"><span class=\"pl-pds\">'</span></span></span></span>\n<span class=\"pl-s\"><span class=\"pl-s\"><span class=\"pl-s\">select</span></span></span>\n<span class=\"pl-s\"><span class=\"pl-s\"><span class=\"pl-s\">  full_name</span></span></span>\n<span class=\"pl-s\"><span class=\"pl-s\"><span class=\"pl-s\">from</span></span></span>\n<span class=\"pl-s\"><span class=\"pl-s\"><span class=\"pl-s\">  repos</span></span></span>\n<span class=\"pl-s\"><span class=\"pl-s\"><span class=\"pl-s\">where</span></span></span>\n<span class=\"pl-s\"><span class=\"pl-s\"><span class=\"pl-s\">  rowid in (</span></span></span>\n<span class=\"pl-s\"><span class=\"pl-s\"><span class=\"pl-s\">    select</span></span></span>\n<span class=\"pl-s\"><span class=\"pl-s\"><span class=\"pl-s\">      repos.rowid</span></span></span>\n<span class=\"pl-s\"><span class=\"pl-s\"><span class=\"pl-s\">    from</span></span></span>\n<span class=\"pl-s\"><span class=\"pl-s\"><span class=\"pl-s\">      repos,</span></span></span>\n<span class=\"pl-s\"><span class=\"pl-s\"><span class=\"pl-s\">      json_each(repos.topics) j</span></span></span>\n<span class=\"pl-s\"><span class=\"pl-s\"><span class=\"pl-s\">    where</span></span></span>\n<span class=\"pl-s\"><span class=\"pl-s\"><span class=\"pl-s\">      j.value = \"datasette-io\"</span></span></span>\n<span class=\"pl-s\"><span class=\"pl-s\"><span class=\"pl-s\">  )</span></span></span>\n<span class=\"pl-s\"><span class=\"pl-s\"><span class=\"pl-s\">  and rowid in (</span></span></span>\n<span class=\"pl-s\"><span class=\"pl-s\"><span class=\"pl-s\">    select</span></span></span>\n<span class=\"pl-s\"><span class=\"pl-s\"><span class=\"pl-s\">      repos.rowid</span></span></span>\n<span class=\"pl-s\"><span class=\"pl-s\"><span class=\"pl-s\">    from</span></span></span>\n<span class=\"pl-s\"><span class=\"pl-s\"><span class=\"pl-s\">      repos,</span></span></span>\n<span class=\"pl-s\"><span class=\"pl-s\"><span class=\"pl-s\">      json_each(repos.topics) j</span></span></span>\n<span class=\"pl-s\"><span class=\"pl-s\"><span class=\"pl-s\">    where</span></span></span>\n<span class=\"pl-s\"><span class=\"pl-s\"><span class=\"pl-s\">      j.value = \"datasette-plugin\"</span></span></span>\n<span class=\"pl-s\"><span class=\"pl-s\"><span class=\"pl-s\">  )</span></span></span>\n<span class=\"pl-s\"><span class=\"pl-s\"><span class=\"pl-s\">order by</span></span></span>\n<span class=\"pl-s\"><span class=\"pl-s\"><span class=\"pl-s\">  updated_at desc</span></span></span>\n<span class=\"pl-s\"><span class=\"pl-s\"><span class=\"pl-s\"><span class=\"pl-pds\">'</span></span> <span class=\"pl-k\">|</span> python3 -c \\</span></span>\n<span class=\"pl-s\"><span class=\"pl-s\">  <span class=\"pl-s\"><span class=\"pl-pds\">'</span>import sys; import urllib.parse; print(urllib.parse.quote(sys.stdin.read()))<span class=\"pl-pds\">'</span></span><span class=\"pl-pds\">)</span></span><span class=\"pl-pds\">\"</span></span> \\\n  <span class=\"pl-k\">|</span> tail -n +2</pre></div>\n<p>Here's <a href=\"https://github-to-sqlite.dogsheep.net/github?sql=select%0D%0A++full_name%0D%0Afrom%0D%0A++repos%0D%0Awhere%0D%0A++rowid+in+%28%0D%0A++++select%0D%0A++++++repos.rowid%0D%0A++++from%0D%0A++++++repos%2C%0D%0A++++++json_each%28repos.topics%29+j%0D%0A++++where%0D%0A++++++j.value+%3D+%22datasette-io%22%0D%0A++%29%0D%0A++and+rowid+in+%28%0D%0A++++select%0D%0A++++++repos.rowid%0D%0A++++from%0D%0A++++++repos%2C%0D%0A++++++json_each%28repos.topics%29+j%0D%0A++++where%0D%0A++++++j.value+%3D+%22datasette-plugin%22%0D%0A++%29%0D%0Aorder+by%0D%0A++updated_at+desc\" rel=\"nofollow\">that SQL query</a> in the Datasette web UI.</p>\n<p>The output from the bash one-liner looks like this:</p>\n<pre><code>simonw/datasette-edit-schema\nsimonw/datasette-import-table\nsimonw/datasette-dateutil\nsimonw/datasette-seaborn\nsimonw/datasette-backup\nsimonw/datasette-yaml\nsimonw/datasette-schema-versions\nsimonw/datasette-graphql\nsimonw/datasette-insert\nsimonw/datasette-copyable\nsimonw/datasette-auth-passwords\nsimonw/datasette-glitch\nsimonw/datasette-block-robots\nsimonw/datasette-saved-queries\nsimonw/datasette-psutil\nsimonw/datasette-auth-tokens\nsimonw/datasette-permissions-sql\nsimonw/datasette-media\nsimonw/datasette-atom\nsimonw/datasette-vega\nsimonw/datasette-jellyfish\nsimonw/datasette-leaflet-geojson\nsimonw/datasette-template-sql\nsimonw/datasette-render-markdown\nsimonw/datasette-auth-github\nsimonw/datasette-mask-columns\nsimonw/datasette-jq\nsimonw/datasette-cluster-map\nsimonw/datasette-upload-csvs\nsimonw/datasette-publish-fly\nsimonw/datasette-render-images\nsimonw/datasette-render-timestamps\nsimonw/datasette-configure-fts\nsimonw/datasette-search-all\nsimonw/datasette-render-html\nsimonw/datasette-show-errors\nsimonw/datasette-column-inspect\nsimonw/datasette-ics\nsimonw/datasette-json-html\nsimonw/datasette-pretty-json\nsimonw/datasette-sqlite-fts4\nsimonw/datasette-bplist\nsimonw/datasette-render-binary\nsimonw/datasette-rure\nsimonw/datasette-haversine\n</code></pre>\n", "shot": {"$base64": true, "encoded": "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"}, "created": "2020-12-08T11:05:59-08:00", "created_utc": "2020-12-08T19:05:59+00:00", "updated": "2020-12-08T11:05:59-08:00", "updated_utc": "2020-12-08T19:05:59+00:00", "shot_hash": "9af124acc855d09f35908a7eaed9be9f", "slug": "escaping-sql-for-curl-to-datasette"}], "primary_keys": ["path"], "primary_key_values": ["bash_escaping-sql-for-curl-to-datasette.md"], "query_ms": 2.2109700003056787, "truncated": false}