home / sakila

payment

34 rows where customer_id = 129

✎ 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
3470 129 129 2 2 1732 1732 0.99 2005-06-16 15:34:41.000 2020-12-23 07:19:59
3471 129 129 1 1 2727 2727 3.99 2005-06-19 15:02:39.000 2020-12-23 07:19:59
3472 129 129 2 2 2768 2768 0.99 2005-06-19 17:46:52.000 2020-12-23 07:19:59
3473 129 129 2 2 2795 2795 4.99 2005-06-19 18:58:53.000 2020-12-23 07:19:59
3474 129 129 1 1 3183 3183 4.99 2005-06-20 22:55:55.000 2020-12-23 07:19:59
3475 129 129 1 1 3219 3219 3.99 2005-06-21 01:43:26.000 2020-12-23 07:19:59
3476 129 129 1 1 3689 3689 0.99 2005-07-06 09:43:01.000 2020-12-23 07:19:59
3477 129 129 2 2 3900 3900 4.99 2005-07-06 19:21:28.000 2020-12-23 07:19:59
3478 129 129 2 2 3936 3936 0.99 2005-07-06 21:15:03.000 2020-12-23 07:19:59
3479 129 129 2 2 4256 4256 2.99 2005-07-07 14:14:36.000 2020-12-23 07:19:59
3480 129 129 1 1 4602 4602 0.99 2005-07-08 06:52:40.000 2020-12-23 07:19:59
3481 129 129 1 1 4896 4896 2.99 2005-07-08 20:23:15.000 2020-12-23 07:19:59
3482 129 129 1 1 4996 4996 0.99 2005-07-09 00:59:46.000 2020-12-23 07:19:59
3483 129 129 1 1 5127 5127 0.99 2005-07-09 07:25:47.000 2020-12-23 07:19:59
3484 129 129 2 2 5350 5350 4.99 2005-07-09 17:39:30.000 2020-12-23 07:19:59
3485 129 129 1 1 8339 8339 4.99 2005-07-29 04:41:13.000 2020-12-23 07:19:59
3486 129 129 1 1 8345 8345 2.99 2005-07-29 04:47:37.000 2020-12-23 07:19:59
3487 129 129 2 2 9823 9823 4.99 2005-07-31 11:49:00.000 2020-12-23 07:19:59
3488 129 129 1 1 9983 9983 7.99 2005-07-31 17:09:36.000 2020-12-23 07:19:59
3489 129 129 1 1 10024 10024 7.99 2005-07-31 18:26:36.000 2020-12-23 07:19:59
3490 129 129 2 2 10167 10167 5.99 2005-07-31 23:24:31.000 2020-12-23 07:19:59
3491 129 129 2 2 10395 10395 2.99 2005-08-01 07:08:22.000 2020-12-23 07:19:59
3492 129 129 1 1 10468 10468 0.99 2005-08-01 09:48:29.000 2020-12-23 07:19:59
3493 129 129 1 1 10483 10483 2.99 2005-08-01 10:19:45.000 2020-12-23 07:19:59
3494 129 129 2 2 10550 10550 2.99 2005-08-01 12:46:52.000 2020-12-23 07:19:59
3495 129 129 2 2 10816 10816 4.99 2005-08-01 22:48:57.000 2020-12-23 07:19:59
3496 129 129 2 2 12612 12612 3.99 2005-08-18 17:10:05.000 2020-12-23 07:19:59
3497 129 129 2 2 12728 12728 4.99 2005-08-18 21:47:48.000 2020-12-23 07:19:59
3498 129 129 2 2 13653 13653 10.99 2005-08-20 07:54:54.000 2020-12-23 07:19:59
3499 129 129 1 1 13915 13915 4.99 2005-08-20 16:42:53.000 2020-12-23 07:19:59
3500 129 129 1 1 13919 13919 4.99 2005-08-20 16:47:34.000 2020-12-23 07:19:59
3501 129 129 1 1 13961 13961 0.99 2005-08-20 18:16:34.000 2020-12-23 07:19:59
3502 129 129 1 1 14353 14353 0.99 2005-08-21 09:07:50.000 2020-12-23 07:19:59
3503 129 129 2 2 14968 14968 1.99 2005-08-22 06:46:59.000 2020-12-23 07:19:59

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 10.453ms