Analysis :: DAX With IF Statement Very Slow

Jul 21, 2015

I have been trying to optimize a few DAX calculations that I have in my cube and ran into this problem Basically my DAX Measure 

Counterparty Collateral Base DKK:=
[Counterparty Collateral Contracts DKK (filtered)] 

CALCULATE(-[Account Balances DKK], Accounts[Counterpart Type ID] <> 8, Accounts[ContractTypeID] <> 14, Accounts[ContractTypeID] <> 16)
is pretty fast,
whereas as soon as I change the 2nd part to only add Account Balance if its>0, it takes ages i.e.
Counterparty Collateral Base DKK:=
[Counterparty Collateral Contracts DKK (filtered)] 

IF(CALCULATE(-[Account Balances DKK], Accounts[Counterpart Type ID] <> 8, Accounts[ContractTypeID] <> 14, Accounts[ContractTypeID] <> 16)>0,
CALCULATE(-[Account Balances DKK], Accounts[Counterpart Type ID] <> 8, Accounts[ContractTypeID] <> 14, Accounts[ContractTypeID] <> 16),0)

Offcourse because I check every row I suppose with that "if" statement. Question is how do I improve it?
B
y the Way: [Account Balances DKK] is in the table - Account Balances
                    [Counterparty Collateral Contracts DKK (filtered)]  is in the table- Open Positions

This calculated measure [Counterparty Collateral Base DKK] is in Open Positions.And the query in MDX, that I run to pull this measure, looks like
 
select {[Measures].[Counterparty Collateral Base DKK]
}on 0,
Non Empty {[Accounts].[Counterpart ID].children
  *[Base Currencies].[Currency Code].children
  *[Products].[Product Name].children
  } on 1
from [model]
where [Dates].[Date].&[2015-06-30T00:00:00]

The requirement is such that I have to add the measures in two separate tables.How can I improve the performance when adding the filter?      

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GO
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GO
-- =============================================
-- Author:Chris Messineo
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-- =============================================
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I am using

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2. Excel consider it as 'General' string.

3. SSAS does not allow to change 'NameColumn' to Date.

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Code Block
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null, --alt max
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Incorrect syntax near '='.

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=====================
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so plz help me how can i write sql query for to show the output
plz send a sql query

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Help With Delete Statement/converting This Select Statement.

Aug 10, 2006

I have 3 tables, with this relation:
tblChats.WebsiteID = tblWebsite.ID
tblWebsite.AccountID = tblAccount.ID

I need to delete rows within tblChats where tblChats.StartTime - GETDATE() < 180 and where they are apart of @AccountID. I have this select statement that works fine, but I am having trouble converting it to a delete statement:

SELECT * FROM tblChats c
LEFT JOIN tblWebsites sites ON sites.ID = c.WebsiteID
LEFT JOIN tblAccounts accounts on accounts.ID = sites.AccountID
WHERE accounts.ID = 16 AND GETDATE() - c.StartTime > 180

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Why So Slow?

Nov 13, 2003

I am writing a data access web page, but I find that the excution speed is too slow.
My data base is just a data table which have five columns: id, code, quantity, price and Date. The data base has about 45000 rows. When I use OSQL or Query function, speed is just fine.

Here is the main code which I think cause the speed slow:

string conn = ConfigurationSettings.AppSettings["connectionstring"];
SqlDataAdapter adapter_2 = new SqlDataAdapter("select * from table",conn);
DataSet ds = new DataSet();
adapter_2.Fill (ds,"table");
DataTable YahooOrders = ds.Tables["YahooOrders"];
DataRow[] product = new DataRow[20000];

.......

foreach (string s in split) // actually the split here has only one string in it
{
product = table.Select ("code like '"+s+"%' and Date >='"+minDate+"' and Date <='"+table.Select("Date = Max(Date)")[0][1].ToString()+"'");
foreach(DataRow myRow in product)
{
int count = Convert.ToInt32(myRow[2]);
itemQuantity = count + itemQuantity;
revenue = Convert.ToDouble(myRow[3]) * count + revenue;

// get product code, ignore repeated code
int myIndex=code.BinarySearch( myRow[1] );
if ( myIndex < 0 )
code.Add(myRow[1]);
}
orderQuantity = product.Length + orderQuantity;
}
The first foreach actually excutes just one time, so it won' t cause any speed problem.
The second foreach' s job is to sum each column of specified rows which is product here.
So, any ideas about this?
Thanks!

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