NEED HELP IN THE GROUP BY CLAUSE CASES PLEASE

User1983440 thanks for the help with the script below grouped by product category, can you or someone else help me group by another Case statement as well.


WITH p AS)
Select distinct
partner, region, od. ORDER_AFFILIATE_NAME,
Oh.external_order_number,
Ain.get_g1 (queue_type) offers,
Case
When disp.category = 100 Then 'ORDER'
When disp.category = 200 Then 'ACCESS'
When disp.category = 300 Then 'DSL'
When disp.category = 600 Then 'IPTV'
"When disp.category = 700 Then'INTERNET"
When disp.category = 800 Then 'VOIP'
End up like product_category,
To_char(OH.created_ts, 'yyyy-mm-dd HH24:mi:ss') CREATE_DATE
-Case when ip.offer_type = "IPDSLAM" or instr (ip.display_name, "-d") > 0
THEN 'IP - LAN'
ELSE 'FTTN.
end as product_type
Case
When disp.state = 4 and disp.state = 9 or disp.state = 21 or 22 = disp.state then 'cancelled '.
When disp.state = 17 then "NRFC cancelled.
When disp.state = 7 Then 'incomplete '.
When disp.state = 3 or disp.state = 8, then "Finish".
When disp.state = 6 or disp.state = 10 and disp.state = 13 or disp.state = 14 then 'pending - other ".
When disp.state = 19 disp.state = 20 then "sent".
When disp.state = 21 or disp.state = 22 then "Cancelled - CSUS.
When disp.state = 23 or 24 = disp.state then 'Order Confirmation '.
When disp.state = 1 or disp.state = 2 or disp.state = 15 then "receipt".
Another 'other '.
End as STATE_desc
of AIN.impl_oh_order_header oh,.
Ain.impl_order_data od,
DISP AIN.sncr_order_curr_disp,
AIN.impl_package ip
where oh.created_ts between to_date ('2013-02-04', ' yyyy-mm-dd "")
and to_date ('2013-02-11', ' yyyy-mm-dd "")
and oh.order_type = 'COMMAND '.
and disp.category to (200, 300, 600, 700, 800)
and disp.state! = '5'
and uscs = 0
and disp.transaction_id = oh.transaction_id
and od. transaction_id = oh.transaction_id
and ip.transaction_id = oh.transaction_id
and ip.package_type = 'PACKAGE '.
and ip.parent_package_id is null
and ip.product_type = 'COMMAND '.
)
SELECT product_category,
COUNT (*)
P
GROUP BY product_category

To summarize, by category of product, and then by state_desc:

WITH p AS (
Select distinct
partner, region, od.ORDER_AFFILIATE_NAME,
oh.external_order_number,
ain.get_g1(queue_type) offer,
Case
When disp.category = 100 Then'ORDER'
When disp.category = 200 Then'ACCESS'
When disp.category = 300 Then'DSL'
When disp.category = 600 Then'IPTV'
When disp.category = 700 Then'INTERNET'
When disp.category = 800 Then'VOIP'
End as product_category,
TO_CHAR(oh.created_ts, 'yyyy-mm-dd hh24:mi:ss') CREATE_DATE,
Case when ip.offer_type = 'IPDSLAM' or instr(ip.display_name, '- D')> 0
THEN 'IP-DSL'
ELSE 'FTTN'
end as product_type,
Case
When disp.state = 4 or disp.state = 9 or disp.state= 21 or disp.state= 22 Then 'Canceled'
When disp.state = 17 Then 'Canceled NRFC'
When disp.state = 7 Then 'Incomplete'
When disp.state = 3 or disp.state = 8 Then 'Complete'
When disp.state = 6 or disp.state = 10 or disp.state = 13 or disp.state =14 Then 'Pending - Other'
When disp.state = 19 or disp.state = 20 Then 'Submitted'
when disp.state = 21 or disp.state = 22 then 'Cancelled- CSUS'
when disp.state =23 or disp.state = 24 then 'Order Confirmation'
when disp.state =1 or disp.state = 2 or disp.state = 15 then 'Received'
Else 'Other'
End as STATE_desc
from AIN.impl_oh_order_header oh,
ain.impl_order_data od,
AIN.sncr_order_curr_disp disp ,
AIN.impl_package ip
where oh.created_ts between to_date('2013-02-04', 'yyyy-mm-dd')
and to_date('2013-02-11', 'yyyy-mm-dd')
and oh.order_type = 'ORDER'
and disp.category in (200, 300, 600, 700, 800)
and disp.state !='5'
and uscs= 0
and disp.transaction_id = oh.transaction_id
and od. transaction_id = oh.transaction_id
and ip.transaction_id = oh.transaction_id
and ip.package_type = 'PACKAGE'
and ip.parent_package_id is null
and ip.product_type = 'ORDER'
)
SELECT product_category, STATE_desc,
COUNT(*)
FROM p
GROUP BY product_category, STATE_desc

To summarize by state_desc, just remove "product category", the query above.

Tags: Database

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---------- ---------- ---------- ---------------------- 
paris      id1        January    1000                   
paris      id1        March      7000                   
paris      id1        April      2000                   
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---------- ---------------------- 
london     10500                  
paris      17000           
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FROM myenterprise
GROUP BY city
ORDER BY city, TOTAL_SALES_PER_CITY;
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FROM myenterprise
GROUP BY city
ORDER BY city, TOTAL_SALES_PER_CITY;
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SELECT city, 
       SUM(total_sales) OVER (PARTITION BY city) AS TOTAL_SALES_PER_CITY
FROM myenterprise
GROUP BY city
ORDER BY city, TOTAL_SALES_PER_CITY
Error at Command Line:2 Column:11
Error report:
SQL Error: ORA-00979: not a GROUP BY expression
00979. 00000 -  "not a GROUP BY expression"
*Cause:    
*Action:
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    Thanks in advance!
    :)





    In case you are interested, that's my definition of the table:
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CREATE TABLE myenterprise(
city VARCHAR2(10), 
storeid VARCHAR2(10),
month_name VARCHAR2(10),
total_sales NUMBER);

INSERT INTO myenterprise(city, storeid, month_name, total_sales)
  VALUES ('paris', 'id1', 'January', 1000);
INSERT INTO myenterprise(city, storeid, month_name, total_sales)
  VALUES ('paris', 'id1', 'March', 7000);
INSERT INTO myenterprise(city, storeid, month_name, total_sales)
  VALUES ('paris', 'id1', 'April', 2000);
INSERT INTO myenterprise(city, storeid, month_name, total_sales)
  VALUES ('paris', 'id2', 'November', 2000);
INSERT INTO myenterprise(city, storeid, month_name, total_sales)
  VALUES ('paris', 'id3', 'January', 5000);
INSERT INTO myenterprise(city, storeid, month_name, total_sales)
  VALUES ('london', 'id4', 'Janaury', 3000);
INSERT INTO myenterprise(city, storeid, month_name, total_sales)
  VALUES ('london', 'id4', 'August', 6000);
INSERT INTO myenterprise(city, storeid, month_name, total_sales)
  VALUES ('london', 'id5', 'September', 500);
INSERT INTO myenterprise(city, storeid, month_name, total_sales)
  VALUES ('london', 'id5', 'November', 1000);
    Edited by: dariyoosh on April 9, 2009 04:51

    It is clear that thet Analytics is reduntant here...
    You can even use AVG or any analytic function...

    SQL> SELECT city,
  2         avg(SUM(total_sales)) OVER (PARTITION BY city) AS TOTAL_SALES_PER_CITY
  3  FROM myenterprise
  4  GROUP BY city
  5  ORDER BY city, TOTAL_SALES_PER_CITY;

CITY       TOTAL_SALES_PER_CITY
---------- --------------------
london                    10500
paris                     17000

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