home / sakila

rental

28 rows where customer_id = 497

✎ View and edit SQL

This data as json, xlsx, CSV (advanced)

Suggested facets: staff_id, rental_date (date), return_date (date), last_update (date)

rental_id ▼ rental_date inventory_id customer_id return_date staff_id last_update
1100 2005-05-31 14:03:21.000 316 316 497 497 2005-06-06 16:08:21.000 1 1 2020-12-23 07:15:34
2180 2005-06-18 00:47:43.000 3564 3564 497 497 2005-06-25 04:12:43.000 2 2 2020-12-23 07:15:49
2298 2005-06-18 08:18:29.000 1227 1227 497 497 2005-06-24 11:51:29.000 1 1 2020-12-23 07:15:51
2406 2005-06-18 16:39:37.000 1321 1321 497 497 2005-06-23 12:04:37.000 1 1 2020-12-23 07:15:53
2818 2005-06-19 20:05:52.000 2376 2376 497 497 2005-06-22 01:01:52.000 2 2 2020-12-23 07:15:58
3696 2005-07-06 10:04:55.000 3244 3244 497 497 2005-07-11 15:58:55.000 2 2 2020-12-23 07:16:11
4218 2005-07-07 12:10:24.000 152 152 497 497 2005-07-15 16:09:24.000 1 1 2020-12-23 07:16:19
4516 2005-07-08 02:43:41.000 2314 2314 497 497 2005-07-14 02:20:41.000 1 1 2020-12-23 07:16:23
4578 2005-07-08 06:00:17.000 1533 1533 497 497 2005-07-10 06:58:17.000 2 2 2020-12-23 07:16:24
4795 2005-07-08 16:32:54.000 3409 3409 497 497 2005-07-09 14:15:54.000 1 1 2020-12-23 07:16:27
5030 2005-07-09 02:35:43.000 25 25 497 497 2005-07-17 02:05:43.000 1 1 2020-12-23 07:16:31
5239 2005-07-09 13:12:35.000 380 380 497 497 2005-07-10 13:37:35.000 1 1 2020-12-23 07:16:34
7603 2005-07-27 23:54:44.000 124 124 497 497 2005-07-29 01:24:44.000 1 1 2020-12-23 07:17:09
8011 2005-07-28 15:26:39.000 4274 4274 497 497 2005-07-30 13:59:39.000 1 1 2020-12-23 07:17:14
8150 2005-07-28 20:50:41.000 3489 3489 497 497 2005-08-02 00:43:41.000 1 1 2020-12-23 07:17:17
8813 2005-07-29 21:47:55.000 3442 3442 497 497 2005-08-05 01:16:55.000 1 1 2020-12-23 07:17:26
8867 2005-07-30 00:02:18.000 1388 1388 497 497 2005-08-04 00:44:18.000 2 2 2020-12-23 07:17:27
9273 2005-07-30 15:05:36.000 1867 1867 497 497 2005-08-08 09:07:36.000 1 1 2020-12-23 07:17:33
9850 2005-07-31 12:46:52.000 1461 1461 497 497 2005-08-04 10:52:52.000 2 2 2020-12-23 07:17:42
10760 2005-08-01 20:25:20.000 1311 1311 497 497 2005-08-09 16:57:20.000 1 1 2020-12-23 07:17:54
12123 2005-08-17 23:22:18.000 361 361 497 497 2005-08-19 23:36:18.000 2 2 2020-12-23 07:18:13
12698 2006-02-14 15:16:03.000 3657 3657 497 497   1 1 2020-12-23 07:18:21
13159 2005-08-19 13:19:59.000 2300 2300 497 497 2005-08-21 09:22:59.000 2 2 2020-12-23 07:18:28
13289 2005-08-19 18:31:30.000 3527 3527 497 497 2005-08-20 13:43:30.000 1 1 2020-12-23 07:18:30
14134 2005-08-21 01:45:54.000 2159 2159 497 497 2005-08-24 01:36:54.000 1 1 2020-12-23 07:18:43
15362 2005-08-22 21:40:20.000 1023 1023 497 497 2005-08-29 15:55:20.000 1 1 2020-12-23 07:19:00
15633 2005-08-23 07:31:10.000 882 882 497 497 2005-08-26 04:35:10.000 2 2 2020-12-23 07:19:04
15919 2005-08-23 18:01:31.000 1746 1746 497 497 2005-08-24 16:27:31.000 1 1 2020-12-23 07:19:08

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 9.602ms