facetable

Data license: Apache License 2.0 · Data source: tests/fixtures.py · About: About Datasette

2 rows

2 extra where clauses

View and edit SQL

Suggested facets: created (date), tags (array)

pk created planet_int on_earth state city_id neighborhood tags
13 2019-01-17 08:00:00 1 1 MI Detroit 3 Corktown []
14 2019-01-17 08:00:00 1 1 MI Detroit 3 Mexicantown []

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options:

CREATE TABLE facetable (
    pk integer primary key,
    created text,
    planet_int integer,
    on_earth integer,
    state text,
    city_id integer,
    neighborhood text,
    tags text,
    FOREIGN KEY ("city_id") REFERENCES [facet_cities](id)
)
Powered by Datasette · Query took 19.805ms · Data license: Apache License 2.0 · Data source: tests/fixtures.py · About: About Datasette