film_actor

11 rows where film_id = 553

✎ View and edit SQL

This data as json, xlsx, CSV (advanced)

Suggested facets: last_update (date)

Link actor_id film_id last_update
15,553 15 15 MAKER GABLES 553 2020-12-23 07:13:49
37,553 37 37 MAKER GABLES 553 2020-12-23 07:13:57
58,553 58 58 MAKER GABLES 553 2020-12-23 07:14:05
66,553 66 66 MAKER GABLES 553 2020-12-23 07:14:08
80,553 80 80 MAKER GABLES 553 2020-12-23 07:14:13
92,553 92 92 MAKER GABLES 553 2020-12-23 07:14:18
97,553 97 97 MAKER GABLES 553 2020-12-23 07:14:19
118,553 118 118 MAKER GABLES 553 2020-12-23 07:14:27
127,553 127 127 MAKER GABLES 553 2020-12-23 07:14:30
135,553 135 135 MAKER GABLES 553 2020-12-23 07:14:34
138,553 138 138 MAKER GABLES 553 2020-12-23 07:14:35

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) 
;