[Solved] SQL Multiple count on same row with dynamic column

Question

Since you are using SQL Server then you can implement the PIVOT function and if you have an unknown number of period values, then you will need to use dynamic SQL:

DECLARE @cols AS NVARCHAR(MAX),
    @query  AS NVARCHAR(MAX)

select @cols = STUFF((SELECT distinct ',' + QUOTENAME('PeriodId'+cast(periodid as varchar(10))) 
                    from Periods
            FOR XML PATH(''), TYPE
            ).value('.', 'NVARCHAR(MAX)') 
        ,1,1,'')

set @query = 'SELECT resourcecode, ' + @cols + ' , Total
            from 
            (
               select s.resourcecode, 
                 ''PeriodId''+cast(p.periodid as varchar(10)) period,
                count(*) over(partition by s.resourcecode) Total
               from periods p
               left join schedules s
                 on p.periodid = s.periodid
            ) x
            pivot 
            (
                count(period)
                for period in (' + @cols + ')
            ) p 
            where resourcecode is not null
            order by resourcecode'

execute(@query)

See SQL Fiddle with Demo. This gives a result:

| RESOURCECODE | PERIODID1 | PERIODID2 | PERIODID3 | PERIODID4 | PERIODID5 | PERIODID6 | PERIODID7 | PERIODID8 | TOTAL |
------------------------------------------------------------------------------------------------------------------------
|           AA |         2 |         0 |         3 |         0 |         0 |         0 |         0 |         0 |     5 |
|           BB |         2 |         1 |         1 |         0 |         0 |         0 |         0 |         0 |     4 |
|           CC |         1 |         1 |         1 |         0 |         0 |         0 |         0 |         0 |     3 |

Based on your previous question that was tagged with MySQL, I am assuming you are using MySQL as the database. If so, then you do not have a PIVOT function so you will have to use an aggregate function with a CASE expression to transform the rows of data into columns.

If your column values are known, then you can hard-code the query:

select resourcecode,
  sum(case when period = 'PeriodId1' then 1 else 0 end) PeriodId1,
  sum(case when period = 'PeriodId2' then 1 else 0 end) PeriodId2,
  sum(case when period = 'PeriodId3' then 1 else 0 end) PeriodId3,
  sum(case when period = 'PeriodId4' then 1 else 0 end) PeriodId4,
  sum(case when period = 'PeriodId5' then 1 else 0 end) PeriodId5,
  sum(case when period = 'PeriodId6' then 1 else 0 end) PeriodId6,
  sum(case when period = 'PeriodId7' then 1 else 0 end) PeriodId7,
  sum(case when period = 'PeriodId8' then 1 else 0 end) PeriodId8,
  count(*) Total
from
(
  select concat('PeriodId', p.periodid) Period,
    s.resourcecode
  from periods p
  left join schedules s
    on p.periodid = s.periodid
) d
where resourcecode is not null
group by resourcecode;

See SQL Fiddle with Demo. But if the values will be unknown or dynamic then you will need to use a prepared statement to generate a sql string to execute:

SET @sql = NULL;
SELECT
  GROUP_CONCAT(DISTINCT
    CONCAT(
      'sum(CASE WHEN period = ''',
      concat('PeriodId', periodid),
      ''' THEN 1 else 0 END) AS `',
      concat('PeriodId', periodid), '`'
    )
  ) INTO @sql
FROM periods;

SET @sql 
  = CONCAT('SELECT resourcecode, ', @sql, ' , count(*) Total
            from
            (
              select concat(''PeriodId'', p.periodid) Period,
                s.resourcecode
              from periods p
              left join schedules s
                on p.periodid = s.periodid
            ) d
            where resourcecode is not null
            group by resourcecode');


PREPARE stmt FROM @sql;
EXECUTE stmt;
DEALLOCATE PREPARE stmt;

See SQL Fiddle with Demo.

Accepted Answer