query with count subquery, inner join and group

Question

I'm definitely a noob with SQL, I've been busting my head to write a complex query with the following table structure in Postgresql:

CREATE TABLE reports
(
  reportid character varying(20) NOT NULL,
  userid integer NOT NULL,
  reporttype character varying(40) NOT NULL,  
)

CREATE TABLE users
(
  userid serial NOT NULL,
  username character varying(20) NOT NULL,
)

The objective of the query is to fetch the amount of report types per user and display it in one column. There are three different types of reports.

A simple query with group-by will solve the problem but display it in different rows:

select count(*) as Amount,
       u.username,
       r.reporttype 
from reports r,
     users u 
where r.userid=u.userid 
group by u.username,r.reporttype 
order by u.username

Answer 1

SELECT
  username,
  (
  SELECT 
    COUNT(*)
  FROM reports 
  WHERE users.userid = reports.userid && reports.reporttype = 'Type1'
  ) As Type1,
  (
  SELECT 
    COUNT(*)
  FROM reports 
  WHERE users.userid = reports.userid && reports.reporttype = 'Type2'
  ) As Type2,
  (
  SELECT 
    COUNT(*)
  FROM reports 
  WHERE users.userid = reports.userid && reports.reporttype = 'Type3'
  ) As Type3
FROM
  users
WHERE 
  EXISTS(
    SELECT 
      NULL
    FROM 
      reports
    WHERE 
       users.userid = reports.userid
  )

Answer 2

SELECT
  u.username,
  COUNT(CASE r.reporttype WHEN 1 THEN 1 END) AS type1Qty,
  COUNT(CASE r.reporttype WHEN 2 THEN 1 END) AS type2Qty,
  COUNT(CASE r.reporttype WHEN 3 THEN 1 END) AS type3Qty
FROM reports r
  INNER JOIN users u ON r.userid = u.userid 
GROUP BY u.username

If your server's SQL dialect requires the ELSE branch to be present in CASE expressions, add ELSE NULL before every END.