Query in the Order byclause used with UNION

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  I came across a very interesting error when you perform a query of a query within a CFSCRIPT tag...

  I get a result in withdrawal of a SQL Server stored procedure.  This is a list of metric names (METRIC_ID) and the metric measures themselves.

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  Wait, what?  I want to just a list of names metrics, varchars.  Why is there a conversion error...?

  
  

  The error in the end pprovided back to ColdFusion10\cfusion\CustomTags\com\adobe\coldfusion\base.cfc, line 445

  OK, this is where it takes an interesting twist...

  Starting at line 444, in base.cfc, line 445 bolded in red:

  "< cfif sqlType NEQ" "and arraylen (sqlParams) gt 0 >."

  < cfloop index = "i" = "2" to = "#ArrayLen (sqlArray) #" >

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  < / cfif >

  #getPreserveSingleQuotes (sqlArray [i]) #.

  < / cfloop >

  < / cfif >

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  CACHING	fake
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  SQL	SELECT * FROM qry1 ORDER OF METRIC_ID, LOCATION

  I'm a bit confused why the same data in works set ordered, while an ordered set causes this error.

  All useful suggestions or clues would be greatly appreciated!

  Do you mean that the error has occurred without the order by clause?

  Given that the error only occurs with one unsorted data set, I'm a bit confused why you ask this...?

  I've followed your suggestion:

  Run the same code, but use the cfquery instead of cfscript tag. The error persists there?

  My assumption was that your suggestion is to test it against a set of ordered data because that is what caused the original error.

  Unfortunately, the error occurs in the scenarios the tag and script-based.

  There is absolutely no sense why this happens.  The order of a set of data should have no impact on a query of a query on a column defined as varchar.

  If there are null values in the other columns defined as a type of digital, big deal, the code in question does not seek to assess these columns.  Still more interesting thing is why disorderly orderly vs makes a difference.

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  Hi all
  
  I created the following table named myenterprise
  

  CITY       STOREID    MONTH_NAME TOTAL_SALES            
  ---------- ---------- ---------- ---------------------- 
  paris      id1        January    1000                   
  paris      id1        March      7000                   
  paris      id1        April      2000                   
  paris      id2        November   2000                   
  paris      id3        January    5000                   
  london     id4        Janaury    3000                   
  london     id4        August     6000                   
  london     id5        September  500                    
  london     id5        November   1000

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  london     10500                  
  paris      17000            

  Now in one of my books SQL (Mastering Oracle SQL) I found another method by using the SUM, but this time as an analytic function. Here's what the method of the book suggests as an alternative to the problem:

  SELECT city, 
         SUM(SUM(total_sales)) OVER (PARTITION BY city) AS TOTAL_SALES_PER_CITY
  FROM myenterprise
  GROUP BY city
  ORDER BY city, TOTAL_SALES_PER_CITY;

  I know that the analytic functions are executed after the GROUP BY clause has been transformed completely and Unlike regular aggregate functions, they return their result for each line belonging to the partitions specified in the partition clause (if there is a defined partition clause).
  
  Now my problem is that I do not understand what we have to use two functions SUM? If we only use one only, i.e.

  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;

  This generates the following error:

  Error starting at line 2 in command:
  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:

  The error is generated for the line 2 column 11 which is, for the expression SUM (total_sales), well it's true that total_sales does not appear in the GROUP BY clause, but this should not be a problem, it has been used in an analytical function, so it is evaluated after the GROUP BY clause.
  
  So here's my question:
  
  Why use SUM (SUM (total_sales)) instead of SUM (total_sales)?
  
  
  Thanks in advance!
  :)
  
  
  
  
  
  In case you are interested, that's my definition of the table:

  DROP TABLE myenterprise;
  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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  but, when I questioned as below his does not.
  
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  Uvaraja wrote:
  Hello
  I question in Count (*). It will work with table alias.

  It works when I use it as below

  'select count (*) po_headers_all po_header_id' - his works perfectly

  but, when I questioned as below his does not.

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  I like you guys to clarify my request.

  Thanks in advance.

  Kind regards
  Uvaraja

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              <front-scheme>
                  <local-scheme>
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                          <type>off-heap</type>     
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                      <maximum-size>1m</maximum-size> <!-- PER PARTITION?! -->
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                      <autostart>true</autostart>
                  </distributed-scheme>
              </back-scheme>
              <autostart>true</autostart>
          </near-scheme>
      </caching-schemes>
  </cache-config>

  Sorry, my description is very confusing. High units is by cache. What I was trying to say, is that cache mapping can train additional units high to affect the memory required by the node. Since multiple caches can map to the same pattern, especially if you use wildcards in the mapping, you must consider the total number of hidden units of high times. It is true or not caches use different services.

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  Kind regards

  David

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