home / sakila

film_actor

9 rows where film_id = 485

✎ View and edit SQL

This data as json, xlsx, CSV (advanced)

Suggested facets: last_update (date)

Link actor_id film_id last_update
2,485 2 2 JERSEY SASSY 485 2020-12-23 07:13:44
11,485 11 11 JERSEY SASSY 485 2020-12-23 07:13:47
37,485 37 37 JERSEY SASSY 485 2020-12-23 07:13:57
55,485 55 55 JERSEY SASSY 485 2020-12-23 07:14:04
102,485 102 102 JERSEY SASSY 485 2020-12-23 07:14:21
128,485 128 128 JERSEY SASSY 485 2020-12-23 07:14:31
136,485 136 136 JERSEY SASSY 485 2020-12-23 07:14:34
143,485 143 143 JERSEY SASSY 485 2020-12-23 07:14:37
192,485 192 192 JERSEY SASSY 485 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 8.185ms