home / sakila

film_actor

10 rows where film_id = 164

✎ View and edit SQL

This data as json, xlsx, CSV (advanced)

Suggested facets: last_update (date)

Link actor_id film_id last_update
6,164 6 6 COAST RAINBOW 164 2020-12-23 07:13:45
24,164 24 24 COAST RAINBOW 164 2020-12-23 07:13:52
31,164 31 31 COAST RAINBOW 164 2020-12-23 07:13:55
45,164 45 45 COAST RAINBOW 164 2020-12-23 07:14:00
48,164 48 48 COAST RAINBOW 164 2020-12-23 07:14:01
144,164 144 144 COAST RAINBOW 164 2020-12-23 07:14:37
162,164 162 162 COAST RAINBOW 164 2020-12-23 07:14:44
178,164 178 178 COAST RAINBOW 164 2020-12-23 07:14:50
193,164 193 193 COAST RAINBOW 164 2020-12-23 07:14:55
197,164 197 197 COAST RAINBOW 164 2020-12-23 07:14:57

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 7.521ms