home / sakila

rental

27 rows where customer_id = 286

✎ View and edit SQL

This data as json, xlsx, CSV (advanced)

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

rental_id ▼ rental_date inventory_id customer_id return_date staff_id last_update
81 2005-05-25 12:15:19.000 2610 2610 286 286 2005-06-02 14:08:19.000 2 2 2020-12-23 07:15:21
1690 2005-06-16 12:24:18.000 1099 1099 286 286 2005-06-25 15:00:18.000 1 1 2020-12-23 07:15:42
2195 2005-06-18 01:44:46.000 2247 2247 286 286 2005-06-25 20:50:46.000 1 1 2020-12-23 07:15:50
3592 2005-07-06 04:38:50.000 1272 1272 286 286 2005-07-15 06:36:50.000 2 2 2020-12-23 07:16:09
3692 2005-07-06 09:54:12.000 1237 1237 286 286 2005-07-11 09:42:12.000 2 2 2020-12-23 07:16:11
4242 2005-07-07 13:39:01.000 3626 3626 286 286 2005-07-12 18:29:01.000 1 1 2020-12-23 07:16:19
4461 2005-07-07 23:59:43.000 3656 3656 286 286 2005-07-16 19:44:43.000 2 2 2020-12-23 07:16:23
4707 2005-07-08 11:57:28.000 52 52 286 286 2005-07-10 17:47:28.000 1 1 2020-12-23 07:16:26
4894 2005-07-08 20:21:31.000 1028 1028 286 286 2005-07-11 01:59:31.000 1 1 2020-12-23 07:16:29
5796 2005-07-10 14:42:54.000 1631 1631 286 286 2005-07-17 08:47:54.000 2 2 2020-12-23 07:16:42
6611 2005-07-12 08:20:23.000 1604 1604 286 286 2005-07-16 07:19:23.000 1 1 2020-12-23 07:16:54
7254 2005-07-27 10:48:50.000 2697 2697 286 286 2005-07-28 10:34:50.000 1 1 2020-12-23 07:17:03
7299 2005-07-27 12:49:56.000 3002 3002 286 286 2005-08-03 12:25:56.000 1 1 2020-12-23 07:17:04
7368 2005-07-27 15:06:05.000 2265 2265 286 286 2005-07-31 14:10:05.000 2 2 2020-12-23 07:17:05
7422 2005-07-27 17:10:42.000 3954 3954 286 286 2005-08-03 19:32:42.000 1 1 2020-12-23 07:17:06
7719 2005-07-28 04:39:09.000 2481 2481 286 286 2005-08-05 03:15:09.000 1 1 2020-12-23 07:17:10
8399 2005-07-29 06:20:18.000 233 233 286 286 2005-08-04 01:26:18.000 1 1 2020-12-23 07:17:20
9280 2005-07-30 15:15:38.000 4103 4103 286 286 2005-08-05 19:20:38.000 2 2 2020-12-23 07:17:33
9809 2005-07-31 11:19:21.000 359 359 286 286 2005-08-08 12:43:21.000 2 2 2020-12-23 07:17:41
10105 2005-07-31 20:54:20.000 112 112 286 286 2005-08-09 17:45:20.000 1 1 2020-12-23 07:17:45
11670 2005-08-17 05:48:59.000 4437 4437 286 286 2005-08-19 08:51:59.000 1 1 2020-12-23 07:18:07
12595 2005-08-18 16:27:08.000 1662 1662 286 286 2005-08-19 14:53:08.000 1 1 2020-12-23 07:18:19
12656 2005-08-18 18:58:35.000 3981 3981 286 286 2005-08-21 00:41:35.000 1 1 2020-12-23 07:18:20
13635 2005-08-20 07:17:35.000 669 669 286 286 2005-08-29 06:27:35.000 1 1 2020-12-23 07:18:35
13975 2005-08-20 18:58:23.000 3821 3821 286 286 2005-08-25 20:58:23.000 1 1 2020-12-23 07:18:40
14905 2005-08-22 04:34:22.000 4166 4166 286 286 2005-08-26 04:00:22.000 2 2 2020-12-23 07:18:53
15629 2005-08-23 07:28:22.000 3725 3725 286 286 2005-08-29 06:29:22.000 2 2 2020-12-23 07:19:04

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 12.507ms