My table is
+-------+----------------+---------+--------------+-------------------+
| id | invoice_number | user_id | created_date | next_contact_date |
+-------+----------------+---------+--------------+-------------------+
| 42699 | 100 | 236 | 2021-05-19 | 2022-08-09 |
| 42693 | 100 | 236 | 2021-03-01 | 2022-08-09 |
| 42694 | 100 | 30 | 2021-03-01 | 2022-08-08 |
| 42695 | 100 | 235 | 2021-03-03 | 2022-08-09 |
| 42696 | 100 | 30 | 2021-05-01 | 2022-08-02 |
| 42697 | 100 | 235 | 2021-05-03 | 2022-08-04 |
| 42698 | 100 | 236 | 2021-05-04 | 2022-08-02 |
| 42700 | 100 | 30 | 2021-05-19 | 2022-08-08 |
| 42701 | 100 | 235 | 2021-05-20 | 2022-08-08 |
| 42702 | 100 | 236 | 2021-05-19 | 2022-08-09 |
+-------+----------------+---------+--------------+-------------------+
I want to retrieve the last record based on id of each user_id group but only if it is between next_contact_date range
Desired Output
if user choose to retrieve records between 2022-08-01 and 2022-08-15 it should be
+-------+----------------+---------+--------------+-------------------+
| id | invoice_number | user_id | created_date | next_contact_date |
+-------+----------------+---------+--------------+-------------------+
| 42700 | 100 | 30 | 2021-05-19 | 2022-08-08 |
| 42701 | 100 | 235 | 2021-05-20 | 2022-08-08 |
| 42702 | 100 | 236 | 2021-05-19 | 2022-08-09 |
+-------+----------------+---------+--------------+-------------------+
That works fine !!!!
if now user choose to retrieve records between 2022-08-01 and 2022-08-05 it should be EMPTY because last id of each user_id group are not inside the next_contact_date.
What i have tried
SELECT * FROM mytable WHERE id IN
(SELECT MAX(id) AS id FROM mytable where mytable.next_contact_date BETWEEN '2022-08-01' AND '2022-08-05 23:59:59.999' GROUP BY user_id)
i get the result below which is not what i want.The result should be empty since last records does not belong to the user-specified next_contact_date range.
+-------+----------------+---------+-----------------+-------------------+
| id | invoice_number | user_id | created_date | next_contact_date |
+-------+----------------+---------+-----------------+-------------------+
| 42696 | 100 | 30 | 2021-05-01 | 2022-08-02 |
| 42697 | 100 | 235 | 2021-05-03 | 2022-08-04 |
| 42698 | 100 | 236 | 2021-05-04 | 2022-08-02 |
+-------+----------------+---------+-----------------+-------------------+
You need a further subquery to catch all user_id, that are in that time frame selected.
and use the user_ids to get the last ids, but sele3cts only those rows that are in the timeframe
CREATE TABLE mytable (`id` int, `invoice_number` int, `user_id` int, `created_date` date, `next_contact_date` date) ; INSERT INTO mytable (`id`, `invoice_number`, `user_id`, `created_date`, `next_contact_date`) VALUES (42699, 100, 236, '2021-05-19', '2022-08-09'), (42693, 100, 236, '2021-03-01', '2022-08-09'), (42694, 100, 30, '2021-03-01', '2022-08-08'), (42695, 100, 235, '2021-03-03', '2022-08-09'), (42696, 100, 30, '2021-05-01', '2022-08-02'), (42697, 100, 235, '2021-05-03', '2022-08-04'), (42698, 100, 236, '2021-05-04', '2022-08-02'), (42700, 100, 30, '2021-05-19', '2022-08-08'), (42701, 100, 235, '2021-05-20', '2022-08-08'), (42702, 100, 236, '2021-05-19', '2022-08-09') ;
SELECT * FROM mytable WHERE id IN (SELECT MAX(id) AS id FROM mytable where `user_id` IN (SELECT `user_id` FROM mytable WHERE mytable.next_contact_date BETWEEN '2022-08-01' AND '2022-08-05 23:59:59.999') GROUP BY user_id) AND mytable.next_contact_date BETWEEN '2022-08-01' AND '2022-08-05 23:59:59.999'
id | invoice_number | user_id | created_date | next_contact_date -: | -------------: | ------: | :----------- | :----------------
SELECT * FROM mytable WHERE id IN (SELECT MAX(id) AS id FROM mytable where `user_id` IN (SELECT `user_id` FROM mytable WHERE mytable.next_contact_date BETWEEN '2022-08-01' AND '2022-08-15 23:59:59.999') GROUP BY user_id) AND mytable.next_contact_date BETWEEN '2022-08-01' AND '2022-08-15 23:59:59.999'
id | invoice_number | user_id | created_date | next_contact_date ----: | -------------: | ------: | :----------- | :---------------- 42700 | 100 | 30 | 2021-05-19 | 2022-08-08 42701 | 100 | 235 | 2021-05-20 | 2022-08-08 42702 | 100 | 236 | 2021-05-19 | 2022-08-09
db<>fiddle here