home / sakila

rental

26 rows where customer_id = 261

✎ 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
12 2005-05-25 00:19:27.000 1584 1584 261 261 2005-05-30 05:44:27.000 2 2 2020-12-23 07:15:20
465 2005-05-27 20:44:36.000 20 20 261 261 2005-06-02 02:43:36.000 1 1 2020-12-23 07:15:26
542 2005-05-28 06:42:13.000 4444 4444 261 261 2005-06-03 09:05:13.000 1 1 2020-12-23 07:15:27
792 2005-05-29 16:32:10.000 2841 2841 261 261 2005-05-31 18:01:10.000 1 1 2020-12-23 07:15:30
1760 2005-06-16 17:48:37.000 3929 3929 261 261 2005-06-18 16:01:37.000 2 2 2020-12-23 07:15:43
1877 2005-06-17 02:54:16.000 3404 3404 261 261 2005-06-25 21:51:16.000 2 2 2020-12-23 07:15:45
1988 2005-06-17 10:42:34.000 3054 3054 261 261 2005-06-25 11:47:34.000 2 2 2020-12-23 07:15:47
2072 2005-06-17 16:33:32.000 86 86 261 261 2005-06-23 13:22:32.000 1 1 2020-12-23 07:15:48
2392 2005-06-18 15:34:18.000 2213 2213 261 261 2005-06-19 16:22:18.000 1 1 2020-12-23 07:15:52
3363 2005-06-21 12:25:07.000 538 538 261 261 2005-06-27 11:52:07.000 2 2 2020-12-23 07:16:06
5122 2005-07-09 07:19:35.000 1423 1423 261 261 2005-07-16 03:04:35.000 2 2 2020-12-23 07:16:32
5449 2005-07-09 22:12:01.000 921 921 261 261 2005-07-18 01:18:01.000 2 2 2020-12-23 07:16:37
6515 2005-07-12 03:50:32.000 706 706 261 261 2005-07-15 03:54:32.000 2 2 2020-12-23 07:16:52
6743 2005-07-12 14:29:25.000 158 158 261 261 2005-07-13 13:13:25.000 1 1 2020-12-23 07:16:56
9552 2005-07-31 02:05:32.000 3544 3544 261 261 2005-08-01 06:59:32.000 1 1 2020-12-23 07:17:37
9842 2005-07-31 12:24:58.000 2896 2896 261 261 2005-08-02 11:01:58.000 2 2 2020-12-23 07:17:42
9869 2005-07-31 13:21:54.000 783 783 261 261 2005-08-07 09:09:54.000 1 1 2020-12-23 07:17:42
10246 2005-08-01 02:29:50.000 3598 3598 261 261 2005-08-09 01:17:50.000 2 2 2020-12-23 07:17:47
11834 2005-08-17 13:00:40.000 2407 2407 261 261 2005-08-22 12:50:40.000 1 1 2020-12-23 07:18:09
11928 2005-08-17 16:28:24.000 79 79 261 261 2005-08-23 17:50:24.000 2 2 2020-12-23 07:18:10
12327 2005-08-18 06:43:22.000 2425 2425 261 261 2005-08-25 10:50:22.000 2 2 2020-12-23 07:18:16
13245 2005-08-19 16:43:41.000 1001 1001 261 261 2005-08-20 21:17:41.000 1 1 2020-12-23 07:18:29
13506 2005-08-20 02:07:06.000 1334 1334 261 261 2005-08-26 08:06:06.000 1 1 2020-12-23 07:18:33
13669 2005-08-20 08:26:32.000 4504 4504 261 261 2005-08-27 08:10:32.000 2 2 2020-12-23 07:18:35
13849 2005-08-20 14:42:34.000 3774 3774 261 261 2005-08-24 13:09:34.000 2 2 2020-12-23 07:18:38
15397 2005-08-22 23:08:46.000 1482 1482 261 261 2005-08-25 20:58:46.000 1 1 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 12.56ms