home / sakila

rental

30 rows where customer_id = 131

✎ 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
55 2005-05-25 08:26:13.000 1139 1139 131 131 2005-05-30 10:57:13.000 1 1 2020-12-23 07:15:20
83 2005-05-25 12:30:15.000 466 466 131 131 2005-05-27 15:40:15.000 1 1 2020-12-23 07:15:21
944 2005-05-30 15:26:24.000 151 151 131 131 2005-06-07 18:09:24.000 2 2 2020-12-23 07:15:32
1646 2005-06-16 09:12:53.000 4037 4037 131 131 2005-06-24 08:03:53.000 2 2 2020-12-23 07:15:41
1768 2005-06-16 18:02:06.000 2131 2131 131 131 2005-06-23 17:19:06.000 2 2 2020-12-23 07:15:43
3515 2005-07-06 00:48:55.000 3220 3220 131 131 2005-07-09 00:15:55.000 1 1 2020-12-23 07:16:08
5233 2005-07-09 12:44:26.000 1401 1401 131 131 2005-07-15 12:31:26.000 1 1 2020-12-23 07:16:34
5395 2005-07-09 19:42:37.000 4428 4428 131 131 2005-07-10 15:39:37.000 1 1 2020-12-23 07:16:36
5610 2005-07-10 05:09:52.000 481 481 131 131 2005-07-13 07:08:52.000 2 2 2020-12-23 07:16:39
5726 2005-07-10 11:22:08.000 3582 3582 131 131 2005-07-13 05:55:08.000 1 1 2020-12-23 07:16:41
5874 2005-07-10 19:02:51.000 2255 2255 131 131 2005-07-16 13:14:51.000 1 1 2020-12-23 07:16:43
7557 2005-07-27 22:18:19.000 3152 3152 131 131 2005-07-29 00:24:19.000 1 1 2020-12-23 07:17:08
8071 2005-07-28 17:27:48.000 2582 2582 131 131 2005-08-03 11:48:48.000 2 2 2020-12-23 07:17:15
8267 2005-07-29 01:21:02.000 4107 4107 131 131 2005-08-04 19:34:02.000 2 2 2020-12-23 07:17:18
8570 2005-07-29 11:40:08.000 3094 3094 131 131 2005-08-06 10:23:08.000 1 1 2020-12-23 07:17:23
9323 2005-07-30 17:21:44.000 3749 3749 131 131 2005-08-03 16:28:44.000 1 1 2020-12-23 07:17:34
10179 2005-07-31 23:49:54.000 2136 2136 131 131 2005-08-01 20:46:54.000 2 2 2020-12-23 07:17:46
10459 2005-08-01 09:20:09.000 201 201 131 131 2005-08-03 11:36:09.000 1 1 2020-12-23 07:17:50
10861 2005-08-02 00:12:46.000 2162 2162 131 131 2005-08-09 04:09:46.000 2 2 2020-12-23 07:17:56
11971 2005-08-17 17:53:42.000 2756 2756 131 131 2005-08-18 12:11:42.000 2 2 2020-12-23 07:18:11
11973 2005-08-17 17:55:58.000 1472 1472 131 131 2005-08-21 19:55:58.000 2 2 2020-12-23 07:18:11
12216 2005-08-18 02:37:07.000 4139 4139 131 131 2005-08-19 02:09:07.000 2 2 2020-12-23 07:18:14
12263 2005-08-18 04:16:18.000 4053 4053 131 131 2005-08-21 07:22:18.000 1 1 2020-12-23 07:18:15
12372 2005-08-18 08:04:35.000 2982 2982 131 131 2005-08-27 08:13:35.000 2 2 2020-12-23 07:18:16
13050 2005-08-19 09:31:23.000 3682 3682 131 131 2005-08-26 06:56:23.000 2 2 2020-12-23 07:18:26
13346 2005-08-19 20:28:21.000 4541 4541 131 131 2005-08-28 00:28:21.000 2 2 2020-12-23 07:18:30
13353 2005-08-19 20:53:43.000 2790 2790 131 131 2005-08-25 01:25:43.000 1 1 2020-12-23 07:18:30
13407 2005-08-19 22:26:26.000 2512 2512 131 131 2005-08-22 16:34:26.000 1 1 2020-12-23 07:18:31
15659 2005-08-23 08:48:43.000 4573 4573 131 131 2005-08-27 14:19:43.000 2 2 2020-12-23 07:19:04
16042 2005-08-23 22:20:40.000 629 629 131 131 2005-08-24 17:54:40.000 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 11.473ms