home / sakila

rental

28 rows where customer_id = 461

✎ 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
684 2005-05-29 00:13:15.000 3242 3242 461 461 2005-06-04 21:26:15.000 2 2 2020-12-23 07:15:29
3127 2005-06-20 18:39:43.000 1292 1292 461 461 2005-06-28 17:55:43.000 1 1 2020-12-23 07:16:02
3319 2005-06-21 08:25:46.000 2482 2482 461 461 2005-06-27 03:54:46.000 2 2 2020-12-23 07:16:05
3698 2005-07-06 10:09:20.000 1263 1263 461 461 2005-07-08 15:49:20.000 1 1 2020-12-23 07:16:11
4586 2005-07-08 06:12:33.000 1374 1374 461 461 2005-07-13 11:06:33.000 2 2 2020-12-23 07:16:24
5650 2005-07-10 07:17:01.000 2793 2793 461 461 2005-07-15 11:59:01.000 1 1 2020-12-23 07:16:40
5809 2005-07-10 15:19:30.000 1748 1748 461 461 2005-07-13 12:31:30.000 2 2 2020-12-23 07:16:42
7334 2005-07-27 13:59:58.000 3006 3006 461 461 2005-07-29 11:33:58.000 1 1 2020-12-23 07:17:05
7664 2005-07-28 02:24:23.000 1989 1989 461 461 2005-07-29 23:01:23.000 1 1 2020-12-23 07:17:10
8133 2005-07-28 20:01:06.000 849 849 461 461 2005-08-01 20:01:06.000 1 1 2020-12-23 07:17:16
8164 2005-07-28 21:17:19.000 1674 1674 461 461 2005-07-30 21:12:19.000 2 2 2020-12-23 07:17:17
9499 2005-07-30 23:58:30.000 602 602 461 461 2005-08-01 00:55:30.000 2 2 2020-12-23 07:17:36
9885 2005-07-31 13:59:32.000 3600 3600 461 461 2005-08-07 12:30:32.000 2 2 2020-12-23 07:17:42
10113 2005-07-31 21:10:03.000 3974 3974 461 461 2005-08-02 21:13:03.000 2 2 2020-12-23 07:17:45
10260 2005-08-01 02:58:07.000 2864 2864 461 461 2005-08-05 02:06:07.000 2 2 2020-12-23 07:17:47
11063 2005-08-02 06:53:48.000 2261 2261 461 461 2005-08-05 03:38:48.000 2 2 2020-12-23 07:17:58
11219 2005-08-02 12:30:20.000 2889 2889 461 461 2005-08-08 13:42:20.000 2 2 2020-12-23 07:18:00
12022 2005-08-17 19:52:45.000 2067 2067 461 461 2005-08-18 18:26:45.000 2 2 2020-12-23 07:18:12
13223 2005-08-19 15:52:04.000 332 332 461 461 2005-08-22 16:27:04.000 1 1 2020-12-23 07:18:29
13269 2005-08-19 17:34:00.000 2382 2382 461 461 2005-08-20 15:17:00.000 2 2 2020-12-23 07:18:29
14186 2005-08-21 03:31:07.000 3158 3158 461 461 2005-08-28 07:29:07.000 2 2 2020-12-23 07:18:44
14893 2005-08-22 04:15:48.000 2336 2336 461 461 2005-08-30 08:05:48.000 1 1 2020-12-23 07:18:53
15067 2005-08-22 10:49:21.000 3684 3684 461 461 2005-08-24 09:01:21.000 1 1 2020-12-23 07:18:56
15187 2005-08-22 15:53:32.000 2338 2338 461 461 2005-08-27 14:21:32.000 1 1 2020-12-23 07:18:57
15336 2005-08-22 20:47:48.000 490 490 461 461 2005-08-31 18:17:48.000 2 2 2020-12-23 07:19:00
15411 2005-08-22 23:35:41.000 4423 4423 461 461 2005-08-26 00:51:41.000 1 1 2020-12-23 07:19:01
15449 2005-08-23 00:55:43.000 2856 2856 461 461 2005-08-28 03:41:43.000 1 1 2020-12-23 07:19:01
15613 2005-08-23 07:03:19.000 307 307 461 461 2005-08-31 07:50:19.000 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 10.695ms