facetable
Data license: Apache License 2.0 · Data source: tests/fixtures.py · About: About Datasette
6 rows where _city_id = 1 sorted by planet_int
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Suggested facets: created, tags, tags (array)
created (date) 2 ✖
- 2019-01-14 4
- 2019-01-15 2
complex_array 2 ✖
- [] 5
- [{"foo": "bar"}] 1
pk | created | planet_int ▼ | on_earth | state | _city_id | _neighborhood | tags | complex_array | distinct_some_null | n |
---|---|---|---|---|---|---|---|---|---|---|
1 | 2019-01-14 08:00:00 | 1 | 1 | CA | San Francisco 1 | Mission | ["tag1", "tag2"] | [{"foo": "bar"}] | one | n1 |
2 | 2019-01-14 08:00:00 | 1 | 1 | CA | San Francisco 1 | Dogpatch | ["tag1", "tag3"] | [] | two | n2 |
3 | 2019-01-14 08:00:00 | 1 | 1 | CA | San Francisco 1 | SOMA | [] | [] | ||
4 | 2019-01-14 08:00:00 | 1 | 1 | CA | San Francisco 1 | Tenderloin | [] | [] | ||
5 | 2019-01-15 08:00:00 | 1 | 1 | CA | San Francisco 1 | Bernal Heights | [] | [] | ||
6 | 2019-01-15 08:00:00 | 1 | 1 | CA | San Francisco 1 | Hayes Valley | [] | [] |
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CREATE TABLE facetable ( pk integer primary key, created text, planet_int integer, on_earth integer, state text, _city_id integer, _neighborhood text, tags text, complex_array text, distinct_some_null, n text, FOREIGN KEY ("_city_id") REFERENCES [facet_cities](id) );