home / sakila

payment

30 rows where customer_id = 135

✎ View and edit SQL

This data as json, xlsx, CSV (advanced)

Suggested facets: staff_id, amount, payment_date (date), last_update (date)

payment_id ▼ customer_id staff_id rental_id amount payment_date last_update
3636 135 135 1 1 78 78 5.99 2005-05-25 11:35:18.000 2020-12-23 07:20:01
3637 135 135 2 2 753 753 3.99 2005-05-29 10:16:42.000 2020-12-23 07:20:01
3638 135 135 2 2 1272 1272 0.99 2005-06-15 07:42:58.000 2020-12-23 07:20:01
3639 135 135 2 2 1671 1671 1.99 2005-06-16 10:30:22.000 2020-12-23 07:20:01
3640 135 135 2 2 2941 2941 2.99 2005-06-20 05:22:18.000 2020-12-23 07:20:01
3641 135 135 1 1 4102 4102 0.99 2005-07-07 06:25:19.000 2020-12-23 07:20:01
3642 135 135 2 2 5054 5054 7.99 2005-07-09 04:01:02.000 2020-12-23 07:20:01
3643 135 135 1 1 5541 5541 0.99 2005-07-10 02:44:27.000 2020-12-23 07:20:01
3644 135 135 1 1 6117 6117 3.99 2005-07-11 07:39:38.000 2020-12-23 07:20:01
3645 135 135 1 1 6461 6461 3.99 2005-07-12 01:14:03.000 2020-12-23 07:20:01
3646 135 135 1 1 6817 6817 3.99 2005-07-12 18:19:57.000 2020-12-23 07:20:01
3647 135 135 2 2 7297 7297 4.99 2005-07-27 12:39:48.000 2020-12-23 07:20:01
3648 135 135 1 1 7437 7437 0.99 2005-07-27 17:39:18.000 2020-12-23 07:20:01
3649 135 135 1 1 7554 7554 7.99 2005-07-27 22:12:41.000 2020-12-23 07:20:01
3650 135 135 1 1 7734 7734 0.99 2005-07-28 05:08:44.000 2020-12-23 07:20:01
3651 135 135 1 1 8315 8315 0.99 2005-07-29 03:37:07.000 2020-12-23 07:20:01
3652 135 135 2 2 8885 8885 7.99 2005-07-30 00:36:26.000 2020-12-23 07:20:01
3653 135 135 1 1 8987 8987 6.99 2005-07-30 04:37:36.000 2020-12-23 07:20:01
3654 135 135 2 2 10091 10091 4.99 2005-07-31 20:23:13.000 2020-12-23 07:20:01
3655 135 135 2 2 10471 10471 0.99 2005-08-01 09:52:37.000 2020-12-23 07:20:01
3656 135 135 1 1 10611 10611 2.99 2005-08-01 14:53:52.000 2020-12-23 07:20:01
3657 135 135 1 1 10698 10698 3.99 2005-08-01 18:24:41.000 2020-12-23 07:20:01
3658 135 135 2 2 11194 11194 5.99 2005-08-02 11:35:53.000 2020-12-23 07:20:01
3659 135 135 1 1 11704 11704 7.99 2005-08-17 07:21:22.000 2020-12-23 07:20:01
3660 135 135 1 1 12249 12249 2.99 2005-08-18 03:53:34.000 2020-12-23 07:20:01
3661 135 135 1 1 13035 13035 0.99 2005-08-19 08:46:45.000 2020-12-23 07:20:01
3662 135 135 1 1 14005 14005 0.99 2005-08-20 20:19:05.000 2020-12-23 07:20:01
3663 135 135 2 2 14136 14136 5.99 2005-08-21 01:57:26.000 2020-12-23 07:20:01
3664 135 135 2 2 15908 15908 2.99 2005-08-23 17:42:00.000 2020-12-23 07:20:01
3665 135 135 1 1 13390 13390 0.99 2006-02-14 15:16:03.000 2020-12-23 07:20:01

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options:

CREATE TABLE payment (
  payment_id int NOT NULL,
  customer_id INT  NOT NULL,
  staff_id SMALLINT NOT NULL,
  rental_id INT DEFAULT NULL,
  amount DECIMAL(5,2) NOT NULL,
  payment_date TIMESTAMP NOT NULL,
  last_update TIMESTAMP NOT NULL,
  PRIMARY KEY  (payment_id),
  CONSTRAINT fk_payment_rental FOREIGN KEY (rental_id) REFERENCES rental (rental_id) ON DELETE SET NULL ON UPDATE CASCADE,
  CONSTRAINT fk_payment_customer FOREIGN KEY (customer_id) REFERENCES customer (customer_id) ,
  CONSTRAINT fk_payment_staff FOREIGN KEY (staff_id) REFERENCES staff (staff_id)
);
CREATE INDEX idx_fk_staff_id ON payment(staff_id)
;
CREATE INDEX idx_fk_customer_id ON payment(customer_id)
;
Powered by Datasette · Queries took 8.814ms