home / sakila

payment

34 rows where customer_id = 147

✎ 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
3978 147 147 1 1 362 362 0.99 2005-05-27 07:10:25.000 2020-12-23 07:20:06
3979 147 147 1 1 509 509 0.99 2005-05-28 02:51:12.000 2020-12-23 07:20:06
3980 147 147 1 1 2171 2171 0.99 2005-06-18 00:06:04.000 2020-12-23 07:20:06
3981 147 147 1 1 2456 2456 6.99 2005-06-18 19:36:50.000 2020-12-23 07:20:06
3982 147 147 2 2 2859 2859 2.99 2005-06-19 23:18:42.000 2020-12-23 07:20:06
3983 147 147 2 2 3011 3011 5.99 2005-06-20 10:39:10.000 2020-12-23 07:20:06
3984 147 147 2 2 3919 3919 7.99 2005-07-06 20:26:21.000 2020-12-23 07:20:06
3985 147 147 2 2 3956 3956 2.99 2005-07-06 22:01:51.000 2020-12-23 07:20:06
3986 147 147 2 2 4792 4792 0.99 2005-07-08 16:29:38.000 2020-12-23 07:20:06
3987 147 147 2 2 5044 5044 0.99 2005-07-09 03:30:25.000 2020-12-23 07:20:06
3988 147 147 1 1 5567 5567 2.99 2005-07-10 03:36:46.000 2020-12-23 07:20:06
3989 147 147 1 1 5844 5844 0.99 2005-07-10 17:14:43.000 2020-12-23 07:20:06
3990 147 147 2 2 6343 6343 0.99 2005-07-11 19:51:35.000 2020-12-23 07:20:06
3991 147 147 2 2 6469 6469 4.99 2005-07-12 01:29:27.000 2020-12-23 07:20:06
3992 147 147 2 2 6753 6753 2.99 2005-07-12 14:55:42.000 2020-12-23 07:20:06
3993 147 147 2 2 7044 7044 0.99 2005-07-27 03:27:29.000 2020-12-23 07:20:06
3994 147 147 1 1 7723 7723 0.99 2005-07-28 04:45:37.000 2020-12-23 07:20:06
3995 147 147 1 1 8893 8893 2.99 2005-07-30 00:48:19.000 2020-12-23 07:20:06
3996 147 147 2 2 9772 9772 0.99 2005-07-31 09:56:07.000 2020-12-23 07:20:06
3997 147 147 1 1 10706 10706 7.99 2005-08-01 18:41:28.000 2020-12-23 07:20:06
3998 147 147 2 2 10752 10752 8.99 2005-08-01 20:08:49.000 2020-12-23 07:20:06
3999 147 147 1 1 12284 12284 4.99 2005-08-18 04:55:49.000 2020-12-23 07:20:06
4000 147 147 1 1 12757 12757 4.99 2005-08-18 22:57:45.000 2020-12-23 07:20:06
4001 147 147 2 2 13542 13542 4.99 2005-08-20 03:41:57.000 2020-12-23 07:20:06
4002 147 147 2 2 13670 13670 3.99 2005-08-20 08:27:01.000 2020-12-23 07:20:06
4003 147 147 2 2 14021 14021 4.99 2005-08-20 21:02:12.000 2020-12-23 07:20:06
4004 147 147 1 1 14156 14156 0.99 2005-08-21 02:35:16.000 2020-12-23 07:20:06
4005 147 147 2 2 14641 14641 0.99 2005-08-21 19:05:23.000 2020-12-23 07:20:06
4006 147 147 2 2 14960 14960 4.99 2005-08-22 06:31:36.000 2020-12-23 07:20:06
4007 147 147 1 1 15052 15052 2.99 2005-08-22 10:09:19.000 2020-12-23 07:20:06
4008 147 147 2 2 15331 15331 4.99 2005-08-22 20:37:57.000 2020-12-23 07:20:06
4009 147 147 2 2 15513 15513 4.99 2005-08-23 03:01:56.000 2020-12-23 07:20:06
4010 147 147 1 1 15730 15730 8.99 2005-08-23 11:32:35.000 2020-12-23 07:20:06
4011 147 147 2 2 16004 16004 6.99 2005-08-23 20:53:20.000 2020-12-23 07:20:06

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 11.261ms