film_actor

10 rows where film_id = 473

✎ View and edit SQL

This data as json, xlsx, CSV (advanced)

Suggested facets: last_update, last_update (date)

Link actor_id film_id last_update
19,473 19 19 JACKET FRISCO 473 2020-12-23 07:13:50
33,473 33 33 JACKET FRISCO 473 2020-12-23 07:13:55
79,473 79 79 JACKET FRISCO 473 2020-12-23 07:14:12
89,473 89 89 JACKET FRISCO 473 2020-12-23 07:14:16
93,473 93 93 JACKET FRISCO 473 2020-12-23 07:14:18
94,473 94 94 JACKET FRISCO 473 2020-12-23 07:14:18
144,473 144 144 JACKET FRISCO 473 2020-12-23 07:14:37
158,473 158 158 JACKET FRISCO 473 2020-12-23 07:14:43
165,473 165 165 JACKET FRISCO 473 2020-12-23 07:14:45
196,473 196 196 JACKET FRISCO 473 2020-12-23 07:14:56

Advanced export

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

CSV options: 

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) 
;