home / sakila

film_actor

7 rows where film_id = 39

✎ View and edit SQL

This data as json, xlsx, CSV (advanced)

Suggested facets: last_update (date)

Link actor_id film_id last_update
65,39 65 65 ARMAGEDDON LOST 39 2020-12-23 07:14:08
84,39 84 84 ARMAGEDDON LOST 39 2020-12-23 07:14:14
104,39 104 104 ARMAGEDDON LOST 39 2020-12-23 07:14:22
118,39 118 118 ARMAGEDDON LOST 39 2020-12-23 07:14:27
145,39 145 145 ARMAGEDDON LOST 39 2020-12-23 07:14:38
177,39 177 177 ARMAGEDDON LOST 39 2020-12-23 07:14:49
191,39 191 191 ARMAGEDDON LOST 39 2020-12-23 07:14:55

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) 
;
Powered by Datasette · Queries took 6.674ms