home / sakila

film_actor

9 rows where film_id = 9

✎ View and edit SQL

This data as json, xlsx, CSV (advanced)

Suggested facets: last_update (date)

Link actor_id film_id last_update
10,9 10 10 ALABAMA DEVIL 9 2020-12-23 07:13:46
22,9 22 22 ALABAMA DEVIL 9 2020-12-23 07:13:51
26,9 26 26 ALABAMA DEVIL 9 2020-12-23 07:13:53
53,9 53 53 ALABAMA DEVIL 9 2020-12-23 07:14:03
68,9 68 68 ALABAMA DEVIL 9 2020-12-23 07:14:09
108,9 108 108 ALABAMA DEVIL 9 2020-12-23 07:14:24
130,9 130 130 ALABAMA DEVIL 9 2020-12-23 07:14:32
175,9 175 175 ALABAMA DEVIL 9 2020-12-23 07:14:49
194,9 194 194 ALABAMA DEVIL 9 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) 
;
Powered by Datasette · Queries took 7.997ms