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    <p>You can use WINDOW functions of DB2 to achieve this.</p> <p>You can rewrite your existing query as:</p> <pre><code>SELECT T1.REQUEST_ID, COUNT(1) OVER(PARTITION BY T1.REQUEST_ID) AS TRANS_ABC FROM TABLE1 AS T1, TABLE2 AS T2 WHERE T1.REQUEST_ID=1234 AND T1.COMPONENTID = T2.PARENTCOMPID AND T2.TRANS_TYPE='ABC' </code></pre> <p>You can use any column in the select list when you use a window function. Check the link below for more information:</p> <p><a href="http://publib.boulder.ibm.com/infocenter/db2luw/v9/index.jsp?topic=/com.ibm.db2.udb.admin.doc/doc/r0023461.htm" rel="nofollow">http://publib.boulder.ibm.com/infocenter/db2luw/v9/index.jsp?topic=/com.ibm.db2.udb.admin.doc/doc/r0023461.htm</a></p> <p>If you wanted the data to be pivoted am not sure if DB2 inherently supports PIVOT/UNPIVOT. This is the best I can construct (not sure about performance though and haven't testedt the query):</p> <p>NOTE: This query considers 6 different types of trans_types. If the Trans_Type is not finite then am not sure if there would be any easy solution.</p> <pre><code>SELECT * FROM ( SELECT t1.request_id, t1.req_user, t1.req_acct, SUM(DECODE(trans_type, 'AA',1, 0)) OVER(PARTITION BY t1.request_id) AS trans_aa, SUM(DECODE(trans_type, 'BB',1, 0)) OVER(PARTITION BY t1.request_id) AS trans_bb, SUM(DECODE(trans_type, 'CC',1, 0)) OVER(PARTITION BY t1.request_id) AS trans_cc, SUM(DECODE(trans_type, 'DD',1, 0)) OVER(PARTITION BY t1.request_id) AS trans_dd, SUM(DECODE(trans_type, 'EE',1, 0)) OVER(PARTITION BY t1.request_id) AS trans_ee, SUM(DECODE(trans_type, 'FF',1, 0)) OVER(PARTITION BY t1.request_id) AS trans_ff, SUM(1) AS total_trans ROW_NUMBER() OVER(PARTITION BY t1.request_id) AS rn FROM TABLE1 AS t1, TABLE2 AS t2 WHERE t1.request_id=1234 AND t1.componentid = t2.parentcompid ) a WHERE rn = 1 </code></pre>
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    1. COBut how do I do this to query one column for counts of different values? I'm looking for somthing like the following: REQ=1234, REQ_USER='Susan', REQ_ACCT=223344, CNT_AA=1, CNT_BB=2, CNT_CC=3
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    2. COCan you post sample data and the the data you want to get back...
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    3. COadded table format above. Really I'll get all requests for 'today'. Right now, I'm just trying, for a given request_id, to get one row back which contains column from the request, then columns which represent totals of the different types of transactions (which come from a set of 9 different possible values, like 'AA', 'BB', 'CC'...)
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