home / sakila

rental

26 rows where customer_id = 234

✎ View and edit SQL

This data as json, xlsx, CSV (advanced)

Suggested facets: 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
1125 2005-05-31 17:23:44.000 1172 1172 234 234 2005-06-01 15:02:44.000 1 1 2020-12-23 07:15:35
1245 2005-06-15 05:09:01.000 1314 1314 234 234 2005-06-22 06:55:01.000 2 2 2020-12-23 07:15:36
1645 2005-06-16 09:10:06.000 4434 4434 234 234 2005-06-23 04:36:06.000 2 2 2020-12-23 07:15:41
1674 2005-06-16 10:57:00.000 3606 3606 234 234 2005-06-18 07:31:00.000 2 2 2020-12-23 07:15:42
1993 2005-06-17 10:59:24.000 168 168 234 234 2005-06-23 07:30:24.000 2 2 2020-12-23 07:15:47
2005 2005-06-17 11:44:54.000 4177 4177 234 234 2005-06-19 10:53:54.000 1 1 2020-12-23 07:15:47
2511 2005-06-18 23:45:30.000 1824 1824 234 234 2005-06-24 01:21:30.000 2 2 2020-12-23 07:15:54
3185 2005-06-20 22:58:01.000 601 601 234 234 2005-06-27 00:26:01.000 1 1 2020-12-23 07:16:03
3199 2005-06-21 00:12:40.000 3824 3824 234 234 2005-06-27 23:26:40.000 1 1 2020-12-23 07:16:03
4686 2005-07-08 10:53:39.000 1398 1398 234 234 2005-07-10 05:34:39.000 2 2 2020-12-23 07:16:26
4721 2005-07-08 12:39:31.000 3105 3105 234 234 2005-07-15 18:07:31.000 1 1 2020-12-23 07:16:26
10133 2005-07-31 21:55:07.000 614 614 234 234 2005-08-08 23:04:07.000 1 1 2020-12-23 07:17:46
10541 2005-08-01 12:24:54.000 1413 1413 234 234 2005-08-03 16:18:54.000 1 1 2020-12-23 07:17:51
10580 2005-08-01 13:51:14.000 590 590 234 234 2005-08-08 11:49:14.000 2 2 2020-12-23 07:17:52
10968 2005-08-02 04:03:13.000 888 888 234 234 2005-08-11 08:36:13.000 1 1 2020-12-23 07:17:57
11050 2005-08-02 06:17:16.000 2077 2077 234 234 2005-08-09 05:58:16.000 1 1 2020-12-23 07:17:58
11073 2005-08-02 07:13:03.000 4232 4232 234 234 2005-08-03 05:46:03.000 1 1 2020-12-23 07:17:59
11481 2005-08-02 22:18:41.000 4028 4028 234 234 2005-08-09 23:43:41.000 2 2 2020-12-23 07:18:04
11882 2005-08-17 14:33:41.000 2401 2401 234 234 2005-08-26 17:25:41.000 2 2 2020-12-23 07:18:10
12226 2005-08-18 03:00:48.000 682 682 234 234 2005-08-25 00:43:48.000 2 2 2020-12-23 07:18:14
12863 2005-08-19 02:35:59.000 780 780 234 234 2005-08-21 21:13:59.000 1 1 2020-12-23 07:18:23
12921 2005-08-19 04:47:48.000 781 781 234 234 2005-08-25 00:07:48.000 2 2 2020-12-23 07:18:24
13349 2005-08-19 20:43:16.000 4262 4262 234 234 2005-08-20 16:21:16.000 1 1 2020-12-23 07:18:30
15037 2005-08-22 09:36:33.000 4517 4517 234 234 2005-08-31 11:20:33.000 2 2 2020-12-23 07:18:55
15129 2005-08-22 13:03:52.000 3782 3782 234 234 2005-08-29 10:56:52.000 2 2 2020-12-23 07:18:57
15778 2006-02-14 15:16:03.000 1269 1269 234 234   1 1 2020-12-23 07:19:06

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 11.463ms