home / sakila

rental

29 rows where customer_id = 563

✎ 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
758 2005-05-29 10:31:56.000 1191 1191 563 563 2005-06-01 14:53:56.000 2 2 2020-12-23 07:15:29
773 2005-05-29 13:18:05.000 245 245 563 563 2005-06-07 17:22:05.000 1 1 2020-12-23 07:15:30
1545 2005-06-16 01:31:23.000 762 762 563 563 2005-06-24 05:50:23.000 1 1 2020-12-23 07:15:40
2573 2005-06-19 04:23:18.000 3354 3354 563 563 2005-06-23 06:04:18.000 1 1 2020-12-23 07:15:55
4106 2005-07-07 06:33:35.000 4083 4083 563 563 2005-07-13 04:03:35.000 1 1 2020-12-23 07:16:17
4436 2005-07-07 22:52:04.000 4326 4326 563 563 2005-07-10 04:51:04.000 1 1 2020-12-23 07:16:22
4565 2005-07-08 05:12:28.000 3755 3755 563 563 2005-07-17 03:38:28.000 2 2 2020-12-23 07:16:24
4629 2005-07-08 08:31:26.000 228 228 563 563 2005-07-17 12:07:26.000 1 1 2020-12-23 07:16:25
4711 2005-07-08 12:06:58.000 2327 2327 563 563 2005-07-12 08:37:58.000 1 1 2020-12-23 07:16:26
4776 2005-07-08 15:44:20.000 2598 2598 563 563 2005-07-17 10:50:20.000 2 2 2020-12-23 07:16:27
4808 2005-07-08 17:02:49.000 2544 2544 563 563 2005-07-12 22:49:49.000 2 2 2020-12-23 07:16:28
4825 2005-07-08 17:43:01.000 2419 2419 563 563 2005-07-11 20:58:01.000 1 1 2020-12-23 07:16:28
4883 2005-07-08 19:46:58.000 1366 1366 563 563 2005-07-10 15:48:58.000 1 1 2020-12-23 07:16:29
5406 2005-07-09 20:13:23.000 1322 1322 563 563 2005-07-11 22:05:23.000 2 2 2020-12-23 07:16:36
6326 2005-07-11 19:06:55.000 2137 2137 563 563 2005-07-12 20:41:55.000 1 1 2020-12-23 07:16:50
7612 2005-07-28 00:11:55.000 1411 1411 563 563 2005-07-30 00:47:55.000 1 1 2020-12-23 07:17:09
8262 2005-07-29 01:11:18.000 1341 1341 563 563 2005-08-02 05:17:18.000 2 2 2020-12-23 07:17:18
8610 2005-07-29 13:25:02.000 4222 4222 563 563 2005-08-03 08:10:02.000 2 2 2020-12-23 07:17:24
8632 2005-07-29 14:11:25.000 1666 1666 563 563 2005-08-07 15:32:25.000 1 1 2020-12-23 07:17:24
8812 2005-07-29 21:47:40.000 1172 1172 563 563 2005-08-04 01:18:40.000 2 2 2020-12-23 07:17:26
11829 2005-08-17 12:52:04.000 2207 2207 563 563 2005-08-19 10:50:04.000 2 2 2020-12-23 07:18:09
12039 2005-08-17 20:29:08.000 4404 4404 563 563 2005-08-23 21:20:08.000 2 2 2020-12-23 07:18:12
12202 2005-08-18 02:14:08.000 672 672 563 563 2005-08-24 04:35:08.000 1 1 2020-12-23 07:18:14
12832 2005-08-19 01:41:44.000 2820 2820 563 563 2005-08-24 23:15:44.000 2 2 2020-12-23 07:18:23
13863 2005-08-20 14:57:50.000 2417 2417 563 563 2005-08-29 15:36:50.000 2 2 2020-12-23 07:18:38
14592 2005-08-21 17:30:17.000 2681 2681 563 563 2005-08-22 20:06:17.000 2 2 2020-12-23 07:18:49
15507 2005-08-23 02:48:26.000 3130 3130 563 563 2005-08-27 01:32:26.000 1 1 2020-12-23 07:19:02
15638 2005-08-23 07:54:54.000 3358 3358 563 563 2005-08-30 13:33:54.000 2 2 2020-12-23 07:19:04
15850 2005-08-23 15:45:42.000 586 586 563 563 2005-08-27 19:24:42.000 1 1 2020-12-23 07:19:07

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 11.458ms