home / sakila

rental

28 rows where customer_id = 515

✎ 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
187 2005-05-26 05:42:37.000 4004 4004 515 515 2005-06-04 00:38:37.000 1 1 2020-12-23 07:15:22
292 2005-05-26 20:22:12.000 4264 4264 515 515 2005-06-05 00:58:12.000 1 1 2020-12-23 07:15:23
1244 2005-06-15 05:08:40.000 1026 1026 515 515 2005-06-20 10:41:40.000 1 1 2020-12-23 07:15:36
1531 2005-06-16 00:40:34.000 1388 1388 515 515 2005-06-22 02:44:34.000 1 1 2020-12-23 07:15:40
2003 2005-06-17 11:40:35.000 1581 1581 515 515 2005-06-19 08:30:35.000 2 2 2020-12-23 07:15:47
2484 2005-06-18 21:25:23.000 1511 1511 515 515 2005-06-24 16:03:23.000 2 2 2020-12-23 07:15:54
2513 2005-06-18 23:53:15.000 3379 3379 515 515 2005-06-24 21:16:15.000 2 2 2020-12-23 07:15:54
3063 2005-06-20 13:52:03.000 3954 3954 515 515 2005-06-28 13:36:03.000 2 2 2020-12-23 07:16:02
3782 2005-07-06 13:57:03.000 3365 3365 515 515 2005-07-09 11:13:03.000 2 2 2020-12-23 07:16:12
4111 2005-07-07 06:47:56.000 1009 1009 515 515 2005-07-13 02:13:56.000 1 1 2020-12-23 07:16:17
5216 2005-07-09 11:54:58.000 1644 1644 515 515 2005-07-12 09:46:58.000 2 2 2020-12-23 07:16:34
5546 2005-07-10 02:50:37.000 2918 2918 515 515 2005-07-16 08:22:37.000 1 1 2020-12-23 07:16:39
5697 2005-07-10 09:44:44.000 934 934 515 515 2005-07-12 12:13:44.000 2 2 2020-12-23 07:16:41
7429 2005-07-27 17:24:50.000 2160 2160 515 515 2005-08-05 23:02:50.000 1 1 2020-12-23 07:17:06
8706 2005-07-29 17:19:15.000 2886 2886 515 515 2005-08-03 22:52:15.000 1 1 2020-12-23 07:17:25
10159 2005-07-31 22:54:30.000 1174 1174 515 515 2005-08-03 00:43:30.000 2 2 2020-12-23 07:17:46
10716 2005-08-01 18:53:48.000 3405 3405 515 515 2005-08-04 13:49:48.000 1 1 2020-12-23 07:17:54
11451 2005-08-02 20:45:56.000 776 776 515 515 2005-08-06 21:42:56.000 2 2 2020-12-23 07:18:04
11572 2005-08-17 01:37:55.000 3512 3512 515 515 2005-08-19 06:22:55.000 2 2 2020-12-23 07:18:06
11691 2005-08-17 06:51:05.000 2529 2529 515 515 2005-08-24 09:53:05.000 1 1 2020-12-23 07:18:07
11937 2005-08-17 16:48:36.000 2926 2926 515 515 2005-08-24 19:01:36.000 1 1 2020-12-23 07:18:10
12416 2005-08-18 09:56:48.000 3784 3784 515 515 2005-08-22 12:34:48.000 1 1 2020-12-23 07:18:17
12486 2005-08-18 12:42:50.000 2991 2991 515 515 2005-08-27 13:41:50.000 2 2 2020-12-23 07:18:18
12889 2005-08-19 03:41:31.000 4376 4376 515 515 2005-08-27 00:46:31.000 2 2 2020-12-23 07:18:23
14072 2005-08-20 23:07:10.000 2387 2387 515 515 2005-08-23 03:38:10.000 2 2 2020-12-23 07:18:42
14378 2005-08-21 09:50:02.000 810 810 515 515 2005-08-30 09:07:02.000 1 1 2020-12-23 07:18:46
14414 2005-08-21 11:08:17.000 1757 1757 515 515 2005-08-23 08:37:17.000 2 2 2020-12-23 07:18:47
15274 2005-08-22 18:55:52.000 3519 3519 515 515 2005-08-23 20:02:52.000 1 1 2020-12-23 07:18:59

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 16.308ms