home / sakila

rental

26 rows where customer_id = 516

✎ 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
339 2005-05-27 03:47:18.000 2410 2410 516 516 2005-06-04 05:46:18.000 2 2 2020-12-23 07:15:24
571 2005-05-28 10:17:41.000 4250 4250 516 516 2005-06-05 07:56:41.000 1 1 2020-12-23 07:15:27
1159 2005-06-14 22:55:13.000 4395 4395 516 516 2005-06-17 02:11:13.000 1 1 2020-12-23 07:15:35
1200 2005-06-15 01:59:51.000 3329 3329 516 516 2005-06-21 21:33:51.000 1 1 2020-12-23 07:15:36
1718 2005-06-16 14:52:02.000 288 288 516 516 2005-06-25 10:53:02.000 2 2 2020-12-23 07:15:43
2017 2005-06-17 12:33:30.000 1434 1434 516 516 2005-06-19 10:08:30.000 2 2 2020-12-23 07:15:47
3068 2005-06-20 14:02:22.000 1958 1958 516 516 2005-06-22 12:52:22.000 2 2 2020-12-23 07:16:02
3431 2005-06-21 18:46:48.000 133 133 516 516 2005-06-26 23:08:48.000 1 1 2020-12-23 07:16:07
5780 2005-07-10 13:46:23.000 168 168 516 516 2005-07-14 17:19:23.000 2 2 2020-12-23 07:16:42
6677 2005-07-12 11:58:14.000 2389 2389 516 516 2005-07-21 06:05:14.000 2 2 2020-12-23 07:16:55
6858 2005-07-12 19:53:51.000 1095 1095 516 516 2005-07-19 14:12:51.000 1 1 2020-12-23 07:16:58
7628 2005-07-28 00:58:04.000 1240 1240 516 516 2005-08-03 19:16:04.000 1 1 2020-12-23 07:17:09
7882 2005-07-28 10:33:42.000 3922 3922 516 516 2005-07-29 13:49:42.000 1 1 2020-12-23 07:17:13
8396 2005-07-29 06:07:00.000 3911 3911 516 516 2005-07-30 05:32:00.000 2 2 2020-12-23 07:17:20
8534 2005-07-29 10:30:13.000 4029 4029 516 516 2005-08-02 04:47:13.000 1 1 2020-12-23 07:17:22
8585 2005-07-29 12:14:18.000 512 512 516 516 2005-08-03 08:31:18.000 2 2 2020-12-23 07:17:23
9243 2005-07-30 14:06:27.000 876 876 516 516 2005-08-06 09:26:27.000 2 2 2020-12-23 07:17:33
11926 2005-08-17 16:25:02.000 2111 2111 516 516 2005-08-22 11:36:02.000 1 1 2020-12-23 07:18:10
11939 2005-08-17 16:55:57.000 3305 3305 516 516 2005-08-24 21:36:57.000 1 1 2020-12-23 07:18:10
12130 2006-02-14 15:16:03.000 1358 1358 516 516   2 2 2020-12-23 07:18:13
12535 2005-08-18 14:05:22.000 2944 2944 516 516 2005-08-25 16:35:22.000 1 1 2020-12-23 07:18:18
12915 2006-02-14 15:16:03.000 2651 2651 516 516   1 1 2020-12-23 07:18:24
13276 2005-08-19 17:53:42.000 625 625 516 516 2005-08-28 20:49:42.000 2 2 2020-12-23 07:18:29
14932 2005-08-22 05:40:39.000 2259 2259 516 516 2005-08-23 11:02:39.000 2 2 2020-12-23 07:18:54
15526 2005-08-23 03:44:30.000 2892 2892 516 516 2005-08-30 08:19:30.000 1 1 2020-12-23 07:19:02
15701 2005-08-23 10:22:21.000 2942 2942 516 516 2005-08-24 10:52:21.000 1 1 2020-12-23 07:19:05

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 10.668ms