Performance Point Services Data Source Sql Server Table.

Hi,
I have a requirement where I need to create a matrix report which shows resource capacity and deomand fromProject Server 2010 databases which involves joining of multiple tables and views from the database.
But in Performance Point Service 2010 I am not able to write query to join multiple tables it'sjust showing one option in Data Connection to create connection to a database and specific one table not like SSRS where we can connect to database and can query
multiple tables and views to render the report as required.
So can any body suggest in case I am missing something in PPS 2010 or we cant joing or write sql query in PPS 2010
Thanks

I would join the tables in a view as Regis suggested or simply pull the information into a PowerPivot model and use that in SharePoint to connect to in PPS. If you go that route then you will be able to use a multidimensional source and can create
Analytical Reports.
http://denglishbi.wordpress.com/2011/01/03/using-powerpivot-with-performancepoint-services-pps-2010/
http://denglishbi.wordpress.com/2012/02/09/using-performancepoint-services-pps-with-powerpivot-sql-server-2012-rc0/

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Performance Point Services data source pointing towards wrong datasource after production instance copied in development

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Geeth If you feel that the answer which i gave you is Helpful please select it as Answer/helpful.

As you have copied data from Prod to Dev reports are pointing to production data sources and reports are unable to display data. Whenever we copy the data from one environment to other then this kind if issue occurs.
We need to modify the data source of all the reports manually so that report point to dev data source.
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http://blogs.msdn.com/b/performancepoint/archive/2011/09/19/performancepoint-data-connection-libraries-and-content-lists-in-sharepoint.aspx
http://www.networkworld.com/community/node/57687
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Hi Devin,
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Hi,
In addition, you could refer to one similar thread for related information:
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Hi,
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Please Mark it as Answered if it answered your question
OR mark it as Helpful if it help you to solve your problem
Elmozamil Elamir Hamid
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poratips

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Export SQL Server Table into Multiple Sheets in Excel

I'm trying to understand the example here.
http://visakhm.blogspot.in/2013/09/exporting-sqlserver-data-to-multiple.html
Basically, I'm up to step #5.
5. Data Flow Task to populate the created sheet with data for that subject. The Data Flow looks like below
I don't understand this part. Has anyone worked with this sample before? Has anyone gotten this to work? I'm trying to learn SSIS better, but I'm finding it hard to get started with this stuff. I guess if I get a couple projects under
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#1)
http://visakhm.blogspot.in/2011/12/simulating-file-watcher-task-in-ssis.html
#2)
http://sqlage.blogspot.in/2013/12/ssis-read-multiple-sheets-from-excel.html
http://beyondrelational.com/modules/24/syndicated/398/Posts/18163/ssis-how-to-loop-through-multiple-excel-sheets-and-load-them-into-a-sql-table.aspx
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Thanks!!
Knowledge is the only thing that I can give you, and still retain, and we are both better off for it.

Hi Ryguy72,
The solution introduced in Visakh’s blog does work. I have written the detailed steps for you:
1. Create an Excel file (Des.xls) as the destination file, rename the Sheet1 to “Excel Destination”, and add four columns: ID, Name, Subject, and Marks.
2. Create an Object type variable Subject, a String type variable SheetName, and a String type variable WorkSheetQuery.
3. Set the value of variable SheetName to “Excel Destination$”, and set the expression of variable WorkSheetQuery to:
"CREATE TABLE `" + @[User::SheetName] + "` (
`ID` Long,
`Name` LongText,
`Subject` LongText,
`Marks` Long
4. In the Execute SQL Task outside the Foreach Loop Container, set its General tab as follows:
ResultSet: Full result set
ConnectionType: OLE DB
Connection: LocalHost.TestDB (e.g. an OLE DB Connection to the source SQL Server table)
SQLSourceType: Direct input
SQLStatement: SELECT DISTINCT [Subject] FROM [TestDB].[dbo].[DynamicExcelSheetDemo]
5. In the Result Set tab of this Execute SQL Task, map result “0” to variable “User::Subject”.
6. In the Collection page of the Foreach Loop Container, set the Enumerator option to “Foreach ADO Enumerator”, and set the “ADO object source variable” to “User::Subject”.
7. In the Variable Mapping page of the container, map variable “User::SheetName” to index “0”.
8. Create an OLE DB Connection Manager to connect to the destination Excel file. Choose the provider as Native OLE DB\Microsoft Jet 4.0 OLE DB Provider, specify the fully qualified path of the Excel file (such as C:\Temp\Des.xls), and set the Extended Properties
option of the Connection Manager to “Excel 8.0”. Click “Test Connection” button to make sure the connection is established successfully.
9. Set the General page of the Execute SQL Task inside the container as follows:
ResultSet: None
ConnectionType: OLE DB
Connection: Des (e.g. the OLE DB Connection to the destination Excel file we create above)
SQLSourceType: Variable
SQLStatement: User::WorkSheetQuery
10. In the Data Flow Task, add an OLE DB Source component, set the connection manager to “LocalHost.TestDB”, set “Data access mode” to “SQL command”, and set the “SQL command text” to:
SELECT * FROM [TestDB].[dbo].[DynamicExcelSheetDemo] WHERE [Subject]=?
11. Click the “Parameters…” button, and map Parameter0 to variable “User::SheetName”.
12. Add an Excel Destination component, setup an Excel Connection Manager to the destination Excel file, set the data access mode to “Table name or view name variable”, and select variable name as “User::SheetName”. In this way, the OLE DB Provider can get
the Excel metadata and enable us to finish the column mappings correctly.
13. Since the Microsoft Jet 4.0 has only 32-bit driver, please make sure to set the Run64BitRuntime property of the IS project to False.
In addition, please note that there will be one useless worksheets “Excel Destination” in the Excel file. We can remove them manually or use a Script Task to delete this worksheet programmatically (need to install .NET Programmability Support feature during
Office installing).
Regards,
Mike Yin
TechNet Community Support

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Is anyone having any ideas on this ...?

Incomplete Crawl of SQL Server Table Source

We are currently experiencing a problem with a Database-based crawler in SES 10.1.8.2 where scheduled crawls produce different results than crawls that are executed manually. Crawler configuration is as follows:
- Database Source Type pointing at a rollup table in SQL Server.
- Rollup table is deleted and re-created each evening prior to SES indexing. Rollup table includes a "KEY" column that is the primary key.
- Schedule properties include a recrawl policy of "Process All Documents" and a crawling mode of "Automatically Accept All URLs for Indexing"
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One other piece of information is after examining the log for a scheduled crawl, a document that was not indexed does appear in the log as being queued, but we never see a log info line indicating it was processed.
The bottom line is a scheduled crawl fails to index all database table rows. A manual crawl consistently indexes everything properly.
Finally, we have made sure that we have minimal overlap of scheduled crawls in case this is a resource issue.
Any assistance would be greatly appreciated.

1. What is the use of the table compression?
Save disk space and sometimes also gain performance.
2. when do we need to compress the table ?
Need is maybe not the best word, but when we want to reduce disk space and/or make the performance gains, we would consider compression.
And, not to forget, if we are on Enterprise Edition. Compression is not available in other editions.
3. If i compress the table what will be the performance impact
There are two levels of compression: ROW and PAGE. ROW is basically a different storage format, which gives a more compact format for most data profiles. Not the least if you have plenty of fixed-length columns that are often NULL. ROW compression has a
fairly low CPU overhead. Since compression means that the data takes up less space, this means a scan of the full table will be faster. This is why you may gain performance.
Page compression is more aggressive and uses a dictionary. You can make a bigger gain in disk space, but the CPU overhead is fairly considerable, so it is less likely that you will make a net gain.
To find out how your system is affected, there is a stored procedure, of which I don't recall the name right now, which can give you estimated space savings. But if you also want to see the performance effects, you will need to run a test with your workload.
There is also columnstore, which also is a form a compression, and which for data warehouses can give enormous performance gains.
Erland Sommarskog, SQL Server MVP, [email protected]

Performance Point Services Data Source Sql Server Table.

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