film_actor
7 rows where film_id = 395
This data as json, xlsx, CSV (advanced)
Suggested facets: last_update (date)
| Link | actor_id | film_id | last_update |
|---|---|---|---|
| 11,395 | 11 11 | HANDICAP BOONDOCK 395 | 2020-12-23 07:13:47 |
| 51,395 | 51 51 | HANDICAP BOONDOCK 395 | 2020-12-23 07:14:02 |
| 117,395 | 117 117 | HANDICAP BOONDOCK 395 | 2020-12-23 07:14:27 |
| 125,395 | 125 125 | HANDICAP BOONDOCK 395 | 2020-12-23 07:14:30 |
| 141,395 | 141 141 | HANDICAP BOONDOCK 395 | 2020-12-23 07:14:36 |
| 165,395 | 165 165 | HANDICAP BOONDOCK 395 | 2020-12-23 07:14:45 |
| 198,395 | 198 198 | HANDICAP BOONDOCK 395 | 2020-12-23 07:14:57 |
Advanced export
JSON shape: default, array, newline-delimited, object
CREATE TABLE film_actor ( actor_id INT NOT NULL, film_id INT NOT NULL, last_update TIMESTAMP NOT NULL, PRIMARY KEY (actor_id,film_id), CONSTRAINT fk_film_actor_actor FOREIGN KEY (actor_id) REFERENCES actor (actor_id) ON DELETE NO ACTION ON UPDATE CASCADE, CONSTRAINT fk_film_actor_film FOREIGN KEY (film_id) REFERENCES film (film_id) ON DELETE NO ACTION ON UPDATE CASCADE ); CREATE INDEX idx_fk_film_actor_film ON film_actor(film_id) ; CREATE INDEX idx_fk_film_actor_actor ON film_actor(actor_id) ;