This data as json, CSV (advanced)
Suggested facets: count, has_fts, is_hidden
id ▼ | database_id | name | count | has_fts | is_hidden | label_column |
---|---|---|---|---|---|---|
10 | food-trucks 2 | Applicant | 131 | 0 | 0 | value |
11 | food-trucks 2 | FacilityType | 2 | 0 | 0 | value |
12 | food-trucks 2 | block | 414 | 0 | 0 | value |
13 | food-trucks 2 | Status | 6 | 0 | 0 | value |
14 | food-trucks 2 | Mobile_Food_Facility_Permit | 673 | 1 | 0 | |
15 | food-trucks 2 | Mobile_Food_Facility_Permit_fts | 673 | 1 | 1 | |
16 | food-trucks 2 | Mobile_Food_Facility_Permit_fts_segments | 28 | 0 | 1 | |
17 | food-trucks 2 | Mobile_Food_Facility_Permit_fts_segdir | 1 | 0 | 1 | |
18 | food-trucks 2 | Mobile_Food_Facility_Permit_fts_docsize | 673 | 0 | 1 | |
19 | food-trucks 2 | Mobile_Food_Facility_Permit_fts_stat | 1 | 0 | 1 | value |
JSON shape: default, array, newline-delimited, object
CREATE TABLE tables ( id integer PRIMARY KEY, database_id integer, name text, count integer, has_fts integer, is_hidden integer, label_column text, FOREIGN KEY (database_id) REFERENCES databases(id) );