home / sakila

rental

25 rows where customer_id = 590

✎ 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
602 2005-05-28 14:15:54.000 1300 1300 590 590 2005-06-05 15:16:54.000 2 2 2020-12-23 07:15:27
1456 2005-06-15 20:00:11.000 632 632 590 590 2005-06-23 18:03:11.000 2 2 2020-12-23 07:15:39
2352 2005-06-18 12:40:15.000 2141 2141 590 590 2005-06-22 07:07:15.000 2 2 2020-12-23 07:15:52
2775 2005-06-19 18:14:20.000 672 672 590 590 2005-06-26 19:52:20.000 1 1 2020-12-23 07:15:58
2916 2005-06-20 04:01:04.000 3086 3086 590 590 2005-06-27 22:40:04.000 2 2 2020-12-23 07:16:00
2964 2005-06-20 07:33:29.000 1201 1201 590 590 2005-06-29 12:48:29.000 1 1 2020-12-23 07:16:00
4685 2005-07-08 10:45:13.000 602 602 590 590 2005-07-12 08:29:13.000 1 1 2020-12-23 07:16:26
4710 2005-07-08 12:04:53.000 248 248 590 590 2005-07-13 11:28:53.000 2 2 2020-12-23 07:16:26
4722 2005-07-08 12:42:27.000 3738 3738 590 590 2005-07-09 09:14:27.000 2 2 2020-12-23 07:16:26
5165 2005-07-09 09:08:53.000 280 280 590 590 2005-07-14 06:01:53.000 1 1 2020-12-23 07:16:33
5529 2005-07-10 02:11:13.000 1652 1652 590 590 2005-07-15 06:56:13.000 2 2 2020-12-23 07:16:38
5991 2005-07-11 01:03:38.000 3623 3623 590 590 2005-07-12 22:32:38.000 2 2 2020-12-23 07:16:45
6232 2005-07-11 14:08:27.000 2492 2492 590 590 2005-07-20 19:34:27.000 2 2 2020-12-23 07:16:48
6492 2005-07-12 02:28:40.000 466 466 590 590 2005-07-17 05:58:40.000 2 2 2020-12-23 07:16:52
7010 2005-07-27 01:56:01.000 3016 3016 590 590 2005-07-30 04:40:01.000 1 1 2020-12-23 07:17:00
7665 2005-07-28 02:28:30.000 1455 1455 590 590 2005-07-31 20:42:30.000 1 1 2020-12-23 07:17:10
8195 2005-07-28 22:52:58.000 3989 3989 590 590 2005-08-04 02:12:58.000 1 1 2020-12-23 07:17:17
8801 2005-07-29 21:25:22.000 1111 1111 590 590 2005-08-01 00:02:22.000 1 1 2020-12-23 07:17:26
9126 2005-07-30 09:44:15.000 4495 4495 590 590 2005-08-02 11:02:15.000 2 2 2020-12-23 07:17:31
9884 2005-07-31 13:56:24.000 511 511 590 590 2005-08-01 16:59:24.000 1 1 2020-12-23 07:17:42
10657 2005-08-01 16:38:44.000 3075 3075 590 590 2005-08-06 16:05:44.000 2 2 2020-12-23 07:17:53
11578 2005-08-17 01:54:13.000 192 192 590 590 2005-08-26 02:00:13.000 2 2 2020-12-23 07:18:06
11713 2005-08-17 07:34:05.000 1919 1919 590 590 2005-08-25 07:49:05.000 1 1 2020-12-23 07:18:08
14830 2005-08-22 01:37:19.000 637 637 590 590 2005-08-27 20:10:19.000 1 1 2020-12-23 07:18:52
15458 2006-02-14 15:16:03.000 25 25 590 590   2 2 2020-12-23 07:19:01

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 12.599ms