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Docs: Learn xarray-sql in 15 minutes - #277
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A docs page in the style of Learn X in Y Minutes: one commented Python program that teaches xarray-sql to readers who know Xarray or NumPy but not SQL, or SQL but not Xarray. It opens with the pivot from a Dataset to a table and a table of Xarray operations and their SQL, then tours registering and querying, SQL for Xarray users, the round trip back to a Dataset, mixed-dimension Datasets, DuckDB, Polars, ADBC and serving over Flight SQL, and ends with the usual gotchas. A test runs the page and checks every "# =>" comment against the value of the line it annotates, so the page can't drift from the library. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01NyN7idACeDMh94qrnFMu6h
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A new section of the tour shows DuckDB's spatial extension on a registered Dataset (a geometry column, ST_Within paired with bbox_conjuncts) and its community h3 extension joining a table of stations to the grid by hexagon ID. It ends with the two things to know when the polygons come from a file: match ST_Read's EPSG:4326 tag with geometry_crs, and join polygon tables through ST_Point for now. The page test skips when DuckDB can't download the extensions. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01NyN7idACeDMh94qrnFMu6h
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Actionable comments posted: 2
- 🪄 Fix comments: Fix CodeRabbit comments on this PR
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Review comments at @docs/learn.md:
- Around line 331-334: Update the documentation around the
geometry_crs="EPSG:4326" example to clarify that the coordinates remain
longitude-first (lon, lat), despite the CRS metadata. Explain that DuckDB’s
ST_Transform uses EPSG:4326’s declared latitude-longitude order by default and
transformations must use always_xy := true, or coordinates must be reordered
beforehand.
Review comments at @tests/test_learn_page.py:
- Around line 86-89: Update the tutorial test around the DuckDB extension
preflight so unavailable spatial or H3 extensions do not skip the entire test.
Preserve execution of extension-independent examples, and conditionally skip
only the geometry and H3 examples that require those extensions.
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docs/learn.mdtests/test_learn_page.py
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| # ST_Within tests each point against a polygon. A function can't skip | ||
| # chunks, but BETWEEN on a dim can, so pair the polygon with its bounding | ||
| # box; bbox_conjuncts writes that part. | ||
| bbox = xql.bbox_conjuncts((95, 5, 115, 15), x="lon", y="lat") |
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TIL we had this function!
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tbh, I don't think we should.
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We can handle this issue separately.
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Sounds good. I left bbox_conjuncts as it is in this PR. Want me to open an issue for it? If so, tell me what you'd want instead (for example, xarray-sql deriving the bounding box from ST_Within itself), and I'll write it up.
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Filed as #280: move bbox_conjuncts into the geo extra as sugar, keeping xql.bbox_conjuncts as a deprecated alias for a release. It also asks whether xarray-sql could derive the box from ST_Within itself.
| """).fetchall() | ||
| # => [(14.5,)] | ||
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| # H3 joins data of different shapes. Give every row the ID of the hexagon |
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Later on, it would be cool to show how to incorporate other generic data science indexes, like KD trees.
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Agreed, that would make a good follow-up section. A KD tree (or a ball tree) over a grid's coordinates answers nearest-neighbour and radius queries, the same kind of job H3 does here. I can draft an issue for it if you like.
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Filed as #281, starting with a docs section: build a k-d tree in Python, register the matches as a table, join it in SQL. Engine-native nearest-neighbour indexes and a helper are listed as follow-ups.
ST_Read tags GeoJSON EPSG:4326, which officially puts latitude first, while GeoJSON and xarray-sql's points put longitude first, as OGC:CRS84 says. So the page now retags the polygons with ST_SetCRS(geom, 'OGC:CRS84') instead of tagging the points EPSG:4326, which could mislead a later ST_Transform. When DuckDB can't install its spatial and h3 extensions, the page test now runs the rest of the tour, blanking only the geometry section, and then reports a skip, instead of skipping the whole page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01NyN7idACeDMh94qrnFMu6h
A new docs page, Learn xarray-sql in 15 minutes, in the style of Learn X in Y Minutes, a site that teaches a language in one commented source file. It's for readers who know Python, NumPy or Xarray but not SQL, and for readers who know SQL but not Xarray. It sits first in the nav, after Home.
The page
sel→WHERE,mean→GROUP BY,cumsum→ window functions, alignment →JOIN, NaN → NULL).0. the pivot from a Dataset to a table;
WHERE,GROUP BY, NULLs,CASE, window functions, CTEs andJOINs;to_dataset, and when it needsdims=;table_names;ST_Withinandbbox_conjuncts, and a table of stations joined to the grid by H3 hexagon ID;xql.serve, queried in the same program through ADBC's Flight SQL driver;WHEREs skip chunks, and chunking.The test
tests/test_learn_page.pyruns the page's program. Each# =>comment is checked against the value of the line it annotates: the test parses the program, wraps each annotated expression in a check, and confirms by tokenizing that no# =>comment is left unchecked. Changing one expected value makes the test fail and name the line. All the packages the page uses are already in thetestextra. The tour installs DuckDB'sspatialandh3extensions, so the test skips when they can't be downloaded.Checks
-W error.zensical buildwith 0.0.71 (the version CI deploys with) builds the page with no warnings, and every link resolves.Filed while writing it
#276: without
ORDER BY,to_datasetgives coordinates in the engine's nondeterministic row order. On DuckDB, the same query returnedlatas[20, 10]on some runs. The page usesORDER BYand explains why.🤖 Generated with Claude Code
https://claude.ai/code/session_01NyN7idACeDMh94qrnFMu6h
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Documentation
Tests