home / sakila

rental

28 rows where customer_id = 504

✎ 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
136 2005-05-25 22:02:30.000 2296 2296 504 504 2005-05-31 18:06:30.000 1 1 2020-12-23 07:15:21
470 2005-05-27 21:17:08.000 1613 1613 504 504 2005-06-04 17:47:08.000 1 1 2020-12-23 07:15:26
838 2005-05-30 00:27:57.000 2859 2859 504 504 2005-06-06 22:19:57.000 2 2 2020-12-23 07:15:31
2720 2005-06-19 14:51:55.000 3597 3597 504 504 2005-06-27 13:06:55.000 1 1 2020-12-23 07:15:57
2938 2005-06-20 05:17:22.000 1795 1795 504 504 2005-06-26 09:38:22.000 1 1 2020-12-23 07:16:00
3712 2005-07-06 10:47:35.000 3741 3741 504 504 2005-07-15 09:39:35.000 1 1 2020-12-23 07:16:11
3713 2005-07-06 10:49:30.000 1823 1823 504 504 2005-07-13 10:44:30.000 1 1 2020-12-23 07:16:11
4329 2005-07-07 18:04:16.000 638 638 504 504 2005-07-15 17:58:16.000 2 2 2020-12-23 07:16:20
4757 2005-07-08 14:36:51.000 1278 1278 504 504 2005-07-12 15:28:51.000 1 1 2020-12-23 07:16:27
5153 2005-07-09 08:35:05.000 2826 2826 504 504 2005-07-18 14:21:05.000 1 1 2020-12-23 07:16:33
7342 2005-07-27 14:25:17.000 4083 4083 504 504 2005-08-04 10:02:17.000 2 2 2020-12-23 07:17:05
7567 2005-07-27 22:38:05.000 1066 1066 504 504 2005-07-30 17:20:05.000 1 1 2020-12-23 07:17:08
7807 2005-07-28 07:58:27.000 2204 2204 504 504 2005-08-01 02:48:27.000 2 2 2020-12-23 07:17:12
7875 2005-07-28 10:23:48.000 3693 3693 504 504 2005-08-02 12:09:48.000 1 1 2020-12-23 07:17:13
7944 2005-07-28 12:51:22.000 3148 3148 504 504 2005-07-30 12:19:22.000 1 1 2020-12-23 07:17:14
8393 2005-07-29 06:02:11.000 3369 3369 504 504 2005-08-07 03:23:11.000 1 1 2020-12-23 07:17:20
10397 2005-08-01 07:11:27.000 4168 4168 504 504 2005-08-03 07:51:27.000 1 1 2020-12-23 07:17:49
10509 2005-08-01 11:25:28.000 96 96 504 504 2005-08-10 09:19:28.000 2 2 2020-12-23 07:17:51
11569 2005-08-17 01:31:04.000 2592 2592 504 504 2005-08-24 03:36:04.000 2 2 2020-12-23 07:18:06
12769 2005-08-18 23:26:40.000 926 926 504 504 2005-08-25 03:03:40.000 1 1 2020-12-23 07:18:22
13166 2005-08-19 13:36:28.000 4386 4386 504 504 2005-08-22 07:57:28.000 1 1 2020-12-23 07:18:28
13206 2005-08-19 15:05:34.000 2477 2477 504 504 2005-08-21 20:37:34.000 2 2 2020-12-23 07:18:28
13387 2005-08-19 21:46:10.000 123 123 504 504 2005-08-24 01:16:10.000 1 1 2020-12-23 07:18:31
13859 2005-08-20 14:53:43.000 4381 4381 504 504 2005-08-28 09:50:43.000 1 1 2020-12-23 07:18:38
15018 2005-08-22 08:52:38.000 394 394 504 504 2005-08-25 08:08:38.000 1 1 2020-12-23 07:18:55
15166 2005-08-22 15:05:37.000 1530 1530 504 504 2005-08-30 12:22:37.000 2 2 2020-12-23 07:18:57
15723 2005-08-23 11:17:26.000 3915 3915 504 504 2005-08-31 13:58:26.000 2 2 2020-12-23 07:19:05
16022 2005-08-23 21:44:27.000 2925 2925 504 504 2005-08-28 01:52:27.000 1 1 2020-12-23 07:19:10

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 13.221ms