rental

4 rows where inventory_id = 4000

✎ 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
1934 2005-06-17 07:04:57.000 4000 4000 16 16 2005-06-25 12:21:57.000 2 2 2020-12-23 07:15:46
6487 2005-07-12 02:17:00.000 4000 4000 277 277 2005-07-19 00:57:00.000 2 2 2020-12-23 07:16:52
10068 2005-07-31 19:39:38.000 4000 4000 58 58 2005-08-05 22:49:38.000 1 1 2020-12-23 07:17:45
15604 2005-08-23 06:44:19.000 4000 4000 458 458 2005-08-29 07:17:19.000 1 1 2020-12-23 07:19:03

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)
;