This data as json, CSV (advanced)
Suggested facets: count, has_fts, is_hidden
id ▼ | database_id | name | count | has_fts | is_hidden | label_column |
---|---|---|---|---|---|---|
61 | food-trucks 6 | Applicant | 131 | 0 | 0 | value |
62 | food-trucks 6 | FacilityType | 2 | 0 | 0 | value |
63 | food-trucks 6 | block | 414 | 0 | 0 | value |
64 | food-trucks 6 | Status | 6 | 0 | 0 | value |
65 | food-trucks 6 | Mobile_Food_Facility_Permit | 673 | 1 | 0 | |
66 | food-trucks 6 | Mobile_Food_Facility_Permit_fts | 673 | 1 | 1 | |
67 | food-trucks 6 | Mobile_Food_Facility_Permit_fts_segments | 28 | 0 | 1 | |
68 | food-trucks 6 | Mobile_Food_Facility_Permit_fts_segdir | 1 | 0 | 1 | |
69 | food-trucks 6 | Mobile_Food_Facility_Permit_fts_docsize | 673 | 0 | 1 | |
70 | food-trucks 6 | 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) );