How to select data from 1 to 5 days with Group By

Question

I've tried it here but I could not, I can only display the total.

I have a download table and a program table.

Every time I download a program I record the date and time, I need to do a grouping of downloaded programs and then 5 columns with the dates, here's an example.

PROGRAMA   |  HOJE  | ONTEM| 2 DIAS | 3 DIAS | 4 DIAS

Programa 1     11      110     55       66      12  
Programa 2     25      140     60       90      12
Programa 3     10      20      20       10      10  
TOTAL          46      270     135      166     32

Below is my query

select `k`.`app_id` AS `app_id`,`b`.`aplicativo` AS `aplicativo`,count(0) AS `HOJE`,

(select count(0) AS `count(*)` from (`registration` `a` join `aplicativos` `b`) where `k`.`app_id`= `b`.`id`    and created_at  > (cast(now() as date) - interval 1 day) and (`a`.`created_at` < cast(now() as date)- interval 0 day) ) as ONTEM ,

(select count(0) AS `count(*)` from (`registration` `a` join `aplicativos` `b`) where `k`.`app_id` = `b`.`id`
 and created_at  > (cast(now() as date) - interval 2 day) and (`a`.`created_at` < cast(now() as date)- interval 1 day) ) as 2_DIAS_ANTES ,

(select count(0) AS `count(*)` from (`registration` `a` join `aplicativos` `b`) where `k`.`app_id` = `b`.`id`
 and created_at  > (cast(now() as date) - interval 3 day) and (`a`.`created_at` < cast(now() as date)- interval 2 day) ) as 3_DIAS_ANTES ,

(select count(0) AS `count(*)` from (`registration` `a` join `aplicativos` `b`) where `k`.`app_id` = `b`.`id`
 and created_at  > (cast(now() as date) - interval 4 day) and (`a`.`created_at` < cast(now() as date)- interval 3 day) ) as 4_DIAS_ANTES ,

(select count(0) AS `count(*)` from (`registration` `a` join `aplicativos` `b`) where `k`.`app_id` = `b`.`id`
 and created_at  > (cast(now() as date) - interval 5 day) and (`a`.`created_at` < cast(now() as date)- interval 4 day) ) as 5_DIAS_ANTES 


from (`registration` `k` join `aplicativos` `b`) where ((`k`.`app_id` = `b`.`id`) and (`k`.`created_at` > (cast(now() as date) - interval 0 day)))

group by `b`.`aplicativo`

Table structure

Table aplicativos

CREATE TABLE IF NOT EXISTS `aplicativos` (
  `id` int(11) NOT NULL AUTO_INCREMENT,
  `id_usuario` int(11) NOT NULL,
  `aplicativo` varchar(200) NOT NULL,
  `link` varchar(400) NOT NULL,
  `quantidade_notificacoes` int(11) NOT NULL,
  PRIMARY KEY (`id`)
) ENGINE=InnoDB  DEFAULT CHARSET=latin1 AUTO_INCREMENT=13 ;

Table registration

CREATE TABLE IF NOT EXISTS `registration` (
  `id` int(11) NOT NULL AUTO_INCREMENT,
  `gcm_regid` varchar(300) NOT NULL,
  `app_id` int(11) NOT NULL,
  `email` varchar(200) NOT NULL,
  `created_at` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
  PRIMARY KEY (`id`)
) ENGINE=InnoDB  DEFAULT CHARSET=latin1 AUTO_INCREMENT=73876 ;

Answer 1

Here is one approach for MySQL:

SELECT a.aplicativo as PROGRAMA,
      sum(Date(r.created_at) = CURDATE()) AS HOJE,
      sum(date(r.created_at) = DATE_SUB(CURDATE(), INTERVAL 1 DAY), 1, 0)) AS ONTEM,
       ...
FROM registration r INNER JOIN 
     aplicativos a
     on r.app_id = a.id
GROUP BY r.app_id ;

Answer 2

Does this give you the expected result?

SELECT 
a.aplicativo as PROGRAMA,
COUNT(IF(DATE(r.created_at) = CURDATE(), 1, 0)) AS HOJE,
COUNT(IF(DATE(r.created_at) = DATE_SUB(CURDATE(), INTERVAL 1 DAY), 1, 0)) AS ONTEM,
COUNT(IF(DATE(r.created_at) = DATE_SUB(CURDATE(), INTERVAL 2 DAY), 1, 0)) AS 2DIAS,
COUNT(IF(DATE(r.created_at) = DATE_SUB(CURDATE(), INTERVAL 3 DAY), 1, 0)) AS 3DIAS,
COUNT(IF(DATE(r.created_at) = DATE_SUB(CURDATE(), INTERVAL 4 DAY), 1, 0)) AS 4DIAS,
COUNT(IF(DATE(r.created_at) = DATE_SUB(CURDATE(), INTERVAL 5 DAY), 1, 0)) AS 5DIAS
FROM registration r
INNER JOIN aplicativos a
ON r.app_id = a.id
GROUP BY r.app_id, DATE(r.created_at) with ROLLUP;