home / sakila

rental

31 rows where customer_id = 361

✎ View and edit SQL

This data as json, xlsx, CSV (advanced)

Suggested facets: rental_date, staff_id, last_update, rental_date (date), return_date (date), last_update (date)

rental_id ▼ rental_date inventory_id customer_id return_date staff_id last_update
368 2005-05-27 07:42:29.000 1247 1247 361 361 2005-06-04 11:20:29.000 2 2 2020-12-23 07:15:24
1120 2005-05-31 16:37:14.000 2897 2897 361 361 2005-06-04 12:53:14.000 1 1 2020-12-23 07:15:35
2353 2005-06-18 12:53:25.000 3223 3223 361 361 2005-06-19 13:53:25.000 1 1 2020-12-23 07:15:52
2558 2005-06-19 03:09:16.000 2920 2920 361 361 2005-06-24 05:29:16.000 1 1 2020-12-23 07:15:55
2851 2005-06-19 23:07:03.000 2168 2168 361 361 2005-06-22 17:26:03.000 1 1 2020-12-23 07:15:59
3303 2005-06-21 07:34:14.000 1565 1565 361 361 2005-06-26 13:18:14.000 2 2 2020-12-23 07:16:05
5154 2005-07-09 08:46:18.000 3785 3785 361 361 2005-07-14 03:19:18.000 1 1 2020-12-23 07:16:33
6152 2005-07-11 09:25:52.000 560 560 361 361 2005-07-17 07:40:52.000 2 2 2020-12-23 07:16:47
6829 2005-07-12 18:38:59.000 4184 4184 361 361 2005-07-16 23:25:59.000 1 1 2020-12-23 07:16:57
6911 2005-07-12 22:14:34.000 901 901 361 361 2005-07-18 20:17:34.000 1 1 2020-12-23 07:16:58
6914 2005-07-12 22:26:56.000 496 496 361 361 2005-07-17 20:03:56.000 1 1 2020-12-23 07:16:58
7538 2005-07-27 21:38:04.000 2486 2486 361 361 2005-08-02 03:14:04.000 1 1 2020-12-23 07:17:08
7712 2005-07-28 04:29:53.000 3256 3256 361 361 2005-08-02 00:57:53.000 2 2 2020-12-23 07:17:10
8189 2005-07-28 22:36:26.000 3515 3515 361 361 2005-08-04 00:12:26.000 2 2 2020-12-23 07:17:17
10145 2005-07-31 22:15:13.000 2511 2511 361 361 2005-08-06 23:26:13.000 1 1 2020-12-23 07:17:46
10151 2005-07-31 22:22:37.000 4442 4442 361 361 2005-08-01 22:20:37.000 1 1 2020-12-23 07:17:46
10414 2005-08-01 08:03:55.000 1271 1271 361 361 2005-08-04 08:44:55.000 2 2 2020-12-23 07:17:49
10975 2005-08-02 04:11:25.000 2616 2616 361 361 2005-08-04 04:39:25.000 2 2 2020-12-23 07:17:57
11031 2005-08-02 05:52:58.000 1205 1205 361 361 2005-08-07 07:14:58.000 2 2 2020-12-23 07:17:58
11243 2005-08-02 13:32:48.000 2517 2517 361 361 2005-08-11 18:55:48.000 1 1 2020-12-23 07:18:01
11327 2005-08-02 16:40:47.000 773 773 361 361 2005-08-03 22:13:47.000 1 1 2020-12-23 07:18:02
11991 2005-08-17 18:27:08.000 940 940 361 361 2005-08-25 14:07:08.000 1 1 2020-12-23 07:18:11
12626 2005-08-18 17:36:45.000 4230 4230 361 361 2005-08-26 17:12:45.000 1 1 2020-12-23 07:18:20
12690 2005-08-18 20:06:57.000 3574 3574 361 361 2005-08-24 20:54:57.000 2 2 2020-12-23 07:18:21
13135 2005-08-19 12:22:52.000 1585 1585 361 361 2005-08-21 14:04:52.000 2 2 2020-12-23 07:18:27
13298 2006-02-14 15:16:03.000 2133 2133 361 361   2 2 2020-12-23 07:18:30
14031 2005-08-20 21:24:24.000 440 440 361 361 2005-08-23 21:47:24.000 2 2 2020-12-23 07:18:41
14422 2005-08-21 11:21:46.000 1382 1382 361 361 2005-08-25 13:15:46.000 1 1 2020-12-23 07:18:47
14769 2006-02-14 15:16:03.000 1800 1800 361 361   1 1 2020-12-23 07:18:51
15759 2005-08-23 12:47:37.000 1341 1341 361 361 2005-09-01 11:28:37.000 2 2 2020-12-23 07:19:06
15935 2005-08-23 18:41:11.000 907 907 361 361 2005-08-25 20:59:11.000 1 1 2020-12-23 07:19:08

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options:

CREATE TABLE rental (
  rental_id INT NOT NULL,
  rental_date TIMESTAMP NOT NULL,
  inventory_id INT  NOT NULL,
  customer_id INT  NOT NULL,
  return_date TIMESTAMP DEFAULT NULL,
  staff_id SMALLINT  NOT NULL,
  last_update TIMESTAMP NOT NULL,
  PRIMARY KEY (rental_id),
  CONSTRAINT fk_rental_staff FOREIGN KEY (staff_id) REFERENCES staff (staff_id) ,
  CONSTRAINT fk_rental_inventory FOREIGN KEY (inventory_id) REFERENCES inventory (inventory_id) ,
  CONSTRAINT fk_rental_customer FOREIGN KEY (customer_id) REFERENCES customer (customer_id)
);
CREATE INDEX idx_rental_fk_inventory_id ON rental(inventory_id)
;
CREATE INDEX idx_rental_fk_customer_id ON rental(customer_id)
;
CREATE INDEX idx_rental_fk_staff_id ON rental(staff_id)
;
CREATE UNIQUE INDEX idx_rental_uq  ON rental (rental_date,inventory_id,customer_id)
;
Powered by Datasette · Queries took 12.928ms