home / sakila

rental

27 rows where customer_id = 96

✎ 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
1266 2005-06-15 07:11:39.000 2230 2230 96 96 2005-06-21 02:59:39.000 2 2 2020-12-23 07:15:37
1413 2005-06-15 17:25:07.000 3625 3625 96 96 2005-06-21 17:17:07.000 2 2 2020-12-23 07:15:38
1437 2005-06-15 18:37:04.000 3263 3263 96 96 2005-06-20 12:56:04.000 1 1 2020-12-23 07:15:39
2372 2005-06-18 14:37:37.000 1567 1567 96 96 2005-06-21 08:40:37.000 2 2 2020-12-23 07:15:52
2973 2005-06-20 07:59:27.000 2626 2626 96 96 2005-06-24 12:31:27.000 1 1 2020-12-23 07:16:00
3308 2005-06-21 07:58:36.000 3129 3129 96 96 2005-06-23 05:23:36.000 2 2 2020-12-23 07:16:05
3463 2005-06-21 22:00:00.000 3436 3436 96 96 2005-06-22 19:22:00.000 2 2 2020-12-23 07:16:07
3720 2005-07-06 11:06:57.000 2958 2958 96 96 2005-07-09 14:16:57.000 1 1 2020-12-23 07:16:11
3742 2005-07-06 12:01:38.000 2873 2873 96 96 2005-07-15 10:46:38.000 1 1 2020-12-23 07:16:11
4961 2005-07-08 23:35:53.000 3668 3668 96 96 2005-07-14 22:46:53.000 2 2 2020-12-23 07:16:30
5558 2005-07-10 03:12:08.000 1123 1123 96 96 2005-07-14 03:09:08.000 2 2 2020-12-23 07:16:39
5678 2005-07-10 08:42:42.000 4366 4366 96 96 2005-07-19 03:48:42.000 1 1 2020-12-23 07:16:40
5696 2005-07-10 09:44:32.000 128 128 96 96 2005-07-12 13:38:32.000 2 2 2020-12-23 07:16:41
8125 2005-07-28 19:31:48.000 4330 4330 96 96 2005-07-30 01:09:48.000 1 1 2020-12-23 07:17:16
8437 2005-07-29 07:23:43.000 2118 2118 96 96 2005-08-04 10:52:43.000 1 1 2020-12-23 07:17:21
9093 2005-07-30 08:33:24.000 2208 2208 96 96 2005-08-04 11:07:24.000 1 1 2020-12-23 07:17:30
9315 2005-07-30 17:05:29.000 444 444 96 96 2005-08-01 12:47:29.000 1 1 2020-12-23 07:17:34
9662 2005-07-31 06:09:53.000 2757 2757 96 96 2005-08-08 00:50:53.000 2 2 2020-12-23 07:17:39
10031 2005-07-31 18:40:15.000 3048 3048 96 96 2005-08-03 14:38:15.000 1 1 2020-12-23 07:17:44
11864 2005-08-17 14:02:01.000 2985 2985 96 96 2005-08-21 19:54:01.000 1 1 2020-12-23 07:18:09
11984 2005-08-17 18:16:30.000 3577 3577 96 96 2005-08-24 21:09:30.000 2 2 2020-12-23 07:18:11
12199 2005-08-18 02:09:23.000 424 424 96 96 2005-08-22 20:33:23.000 1 1 2020-12-23 07:18:14
12525 2005-08-18 13:48:31.000 2357 2357 96 96 2005-08-23 13:04:31.000 2 2 2020-12-23 07:18:18
13514 2005-08-20 02:28:09.000 3407 3407 96 96 2005-08-25 00:41:09.000 1 1 2020-12-23 07:18:33
13855 2005-08-20 14:48:55.000 1617 1617 96 96 2005-08-28 14:45:55.000 1 1 2020-12-23 07:18:38
14462 2005-08-21 12:50:57.000 2201 2201 96 96 2005-08-27 10:42:57.000 2 2 2020-12-23 07:18:47
15989 2005-08-23 20:24:36.000 38 38 96 96 2005-08-26 20:35:36.000 1 1 2020-12-23 07:19:09

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 15.271ms