film_actor

11 rows where film_id = 880

✎ 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
12,880 12 12 TELEMARK HEARTBREAKERS 880 2020-12-23 07:13:47
17,880 17 17 TELEMARK HEARTBREAKERS 880 2020-12-23 07:13:50
27,880 27 27 TELEMARK HEARTBREAKERS 880 2020-12-23 07:13:54
31,880 31 31 TELEMARK HEARTBREAKERS 880 2020-12-23 07:13:55
78,880 78 78 TELEMARK HEARTBREAKERS 880 2020-12-23 07:14:12
90,880 90 90 TELEMARK HEARTBREAKERS 880 2020-12-23 07:14:17
150,880 150 150 TELEMARK HEARTBREAKERS 880 2020-12-23 07:14:40
151,880 151 151 TELEMARK HEARTBREAKERS 880 2020-12-23 07:14:40
158,880 158 158 TELEMARK HEARTBREAKERS 880 2020-12-23 07:14:43
161,880 161 161 TELEMARK HEARTBREAKERS 880 2020-12-23 07:14:44
185,880 185 185 TELEMARK HEARTBREAKERS 880 2020-12-23 07:14:53

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) 
;