film_actor

8 rows where film_id = 193

✎ View and edit SQL

This data as json, xlsx, CSV (advanced)

Suggested facets: last_update (date)

Link actor_id film_id last_update
6,193 6 6 CROSSROADS CASUALTIES 193 2020-12-23 07:13:45
88,193 88 88 CROSSROADS CASUALTIES 193 2020-12-23 07:14:16
94,193 94 94 CROSSROADS CASUALTIES 193 2020-12-23 07:14:18
126,193 126 126 CROSSROADS CASUALTIES 193 2020-12-23 07:14:30
136,193 136 136 CROSSROADS CASUALTIES 193 2020-12-23 07:14:34
149,193 149 149 CROSSROADS CASUALTIES 193 2020-12-23 07:14:39
154,193 154 154 CROSSROADS CASUALTIES 193 2020-12-23 07:14:41
179,193 179 179 CROSSROADS CASUALTIES 193 2020-12-23 07:14:50

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) 
;