Question

I am using this query using UNION, where both fields that contains the amount are combined into one table, and i wanted to split them into 2 fields, first for cash and other for cheque

SELECT exp_cat.cat_name, SUM(exp_cheque.exp_amount) AS Cheque
FROM exp_cat INNER JOIN exp_cheque ON exp_cat.ID = exp_cheque.exp_cat_id
GROUP BY exp_cat.cat_name;
UNION
 SELECT exp_cat.cat_name, SUM(exp_cash.exp_amount) As Cash
FROM exp_cat INNER JOIN exp_cash ON exp_cat.ID = exp_cash.exp_cat_id
GROUP BY exp_cat.cat_name;

Please use this link to understand the each table structure
how to combine 2 different table?

Answer 1

Select exp_cat.cat_name
    , (Select Sum(c1.exp_amount)
        From exp_cheque As c1
            Inner Join exp_cat As c2
                On c2.Id = c1.exp_cat_id
        Where c2.cat_name = exp_cat.cat_name) As cheque
    , (Select Sum(c1.exp_amount)
        From exp_cash As c1
            Inner Join exp_cat As c2
                On c2.Id = c1.exp_cat_id
        Where c2.cat_name = exp_cat.cat_name) As cash
From exp_cat
Where exp_cat.cat_name Is Not Null
Group By exp_cat.cat_name

If there is a unique constraint on exp_cat.cat_name, then you can eliminate the Group By clause.

Given that this is Access, it may be more efficient in the long run to create two stored queries for cash and cheque grouped by exp_cat.cat_name. Then you could write something like:

Select exp_cat.cat_name
    , Sum( cheque.Total ) As chequeTotal
    , Sum( cash.Total ) As cashTotal
    , Sum( cheque.Total ) + Sum( cash.Total ) As ChequeAndCashTotal
From exp_cat
    Left Join chequeBycat_name As cheque
        On cheque.exp_cat.cat_name = exp_cat.cat_name
    Left Join cashBycat_name As cash
        On cash.exp_cat.cat_name = exp_cat.cat_name
Where exp_cat.cat_name Is Not Null
Group By exp_cat.cat_name

Each of the two queries would look like:

Select exp_cat.cat_name, Sum(exp_cheque.exp_amount) As Total
From exp_cat
    Inner Join exp_cheque
        On exp_cheque.exp_cat_id = exp_cat.Id
Where exp_cat.cat_name Is Not Null
Group By exp_cat.cat_name