I am facing issue with partition processing. I am having a SSAS cube which is having 5 partitions. These partitions are processed through a sql server job using SSIS packages. In packages I used SSAS process task to do this.Now problem is, job is running successfully and showing that the step which is having partition process also fine.But data is not updating in the partition. While checking the partition properties, it is not updated with recent date and time.
When I try to manually process the partition, it is getting succeeded and recent data is getting reflected with recent date and time.Package configuration is done in job itself.
I am working on SQL 2012.We have a SSAS Cube build. On top of it client use Excel to connect to SSAS Cube and See the reports.My Cube process every hour and take almost a 1-2 min to Process.When ever End user/Client See or refresh the Excel report (Which use Cube as Source),WHEN CUBE IS PROCESSING ,they get an error that Source is not available
We Have tried best but cannot bring down the Processing time of the cube to 3-5 Second , so that End user don't face report refresh issue at the moment of cube processing
Requirement :In Case End User see the report while Cube is processing from back end , Instead of Error they should see some customize Msg which we can provide some thing Like "Data is Refreshing , please wait ".
I get the following error while processing a SSAS tabular model (2014) on a new server.The SSAS service on this server is running under a login which has access to the SQL server data sources. I tried changing the provider to OLEDB from SQLCLNI11 in the connection string but that doesn't work too. The error message isn't useful to debug further.
The cube processing succeeds on a different server. I scripted out the cube DB and ran it on the new server and am trying to process full but it fails with the following error.
Error Message: The operation failed because the source database does not exist, the source table does not exist, or because you do not have access to the data source.
More Details: OLE DB or ODBC error: A network-related or instance-specific error has occurred while establishing a connection to SQL Server. Server is not found or not accessible. Check if instance name is correct and if SQL Server is configured to allow remote connections.
For more information see SQL Server Books Online.; 08001; SSL Provider: No credentials are available in the security package
; 08001; Client unable to establish connection; 08001; Encryption not supported on the client.; 08001. A connection could not be made to the data source with the DataSourceID of 'd7a37dae-be87-44e0-a8b2-498069af82c9', Name of 'connection name'. An error occurred while processing the partition 'XXXX_460f3467-1a99-4dc9-aaf2-bcf3d54a5c4c' in table 'XXXX_460f3467-1a99-4dc9-aaf2-bcf3d54a5c4c'.
The current operation was cancelled because another operation in the transaction failed. The operation failed because the source database does not exist, the source table does not exist, or because you do not have access to the data source.
I'm facing an issue while processing OLAP. I have enabled BitLocker for dirve encryption and OLAP services uses this drive for db storage. OLAP is executing though SSIS package and I'm getting below error in Package. When debugging the script, it says Drive is encrypted using BitLocker.
My client requires TDE for all databases, for OLAP we decided to use BitLocker: [URL] ....
SQL server is installed on C Drive & D Drive is the storage location for OLAP DB. When locking D Drive, OLAP processing failed. When I tried to restart SQL Server Analysis service in Services.msc it is not starting. Service restarted only when D Drive is unlocked. Is there any way we can process OLAP even when the drive is locked?
Error message is given below:
"The following system error occurred: This drive is locked by BitLocker Drive Encryption. You must unlock this drive from Control Panel. "
I am creating an SSIS Script Task that will be used to process SSAS dimensions and partitions and ideally log the details of each in a table. Any info on the benefits or drawbacks of using the built-in SSAS parallel processing as opposed to doing it manually in a multi-threaded "Parallel.Foreach" loop using the .NET AMO library.
In my testing, when I use a Parallel.foreach loop, I am able to obtain and log information about the object such as end time and time to process immediately after each object is processed. This allows me to keep a history of processing time for each object:
public void processDimensions(Server Server, Database Database, ProcessType processType) { Parallel.ForEach(Database.Dimensions.OfType<Microsoft.AnalysisServices.Dimension>(), d => { DateTime beginTime = DateTime.Now; try { d.Process(processType);
[code]....
If circumventing the built-in SSAS parallel processing is not best practice I'd like to know in advance before I go too far down that path.
I have been tasked with processing a large tabular cube using SQL AS 2014 (with latest CUs).The three Fact tables having 1.2 billion rows (in each table) have been divided into 30 vertical partitions to aid in parallel processing. So around 40 million rows per partition.
Using SQL Profiler to monitor the Row counts (IntegerData) of records processed seems to max out around 2 million rows per minute, then tapers down to about 200k /minute.
The processing is taking over 14 hours and I need to get it lower if possible. The server has 48 cores (2.66MHz) and over 1TB RAM installed. But I really don't ever see CPU exceed 20% having a maximum of 206 threads running on the instance msmdvr.exe
Available RAM is always at least 30% (or 300GB).
I have increased the Vertipaq MIN/MAX 60%/80%
I have increased the OLAP / Processing / Max Thread Pool Min 500 and Max to 1000.
The connection properties have been increased to allow 100 connections, the majority of the processing consumes about 92 connections for the 90 large partition views for the facts.
What can be done to increased the server resource utilization and decrease processing times?
I have a cube that we are processing nightly via an Analysis Service Processing Task in SSIS. In order to increase the performance of the processing time, we elected to use a lot of rigid dimension attributes, and do a full process of everything in the SSIS task. The issue that I am having is that after that task completes, I need to go into Visual Studio to deploy the cube becuase we are unable to browse or use the cube. This issue seemed to start once we changed the SSIS Analysis Service Processing Task to do a full process on the dimensions, rather than an incremental.
I would expect that once development is done, and it is processed and deployed, that is it. My thinking is that the SSIS task should just update the already deployed cube,
We have a MS-OLAP cube that has about 11 partitions and I have created a prototype package which processes these partitions conditionally based on expressions that are fed values from a SQL Server control table. It appears that one or more of the partitions seem to fail due to the fact that all of the data for the various partitions come from the same huge fact table. Is there a way to control the level of concurrency within the package itself? If not, I am thinking I should move some of the partitions to process based on other partitions completing their process successfully. Appreciate any help.
Does anyone have a helpful link for using the partition processing data flow task in SSIS? I am trying to process a monthly partition from within my package and am getting the following error:
Error: 0xC113000A Errors in the high-level relational engine. Pipeline processing can only reference a single table in the data source view.
If anyone has used this before and could point me in the right direction, I would appreciate it.
I have a problem with processing my cube. My fact table (with telephone data) contains about 400,000 records... which is increasing rapidly (400,000 records is about 8 months of data)... I have a few dimensions: Dimension User: about 200 records Dimension Line: about 200 records Dimension Direction: 4 records Dimension Date: 365 records for each year Dimension TimeInterval: with 24 records
So far so good... when I process this dimension I have no problem.... However, when I add a dimension (CalledNumber, with exactly 101 records) the processing hangs as soon as it starts...
The SQL performed when processing the cube looks like this:
SELECT field1, field2,... fieldn FROM table1, table2,.... tablem WHERE (table1.id=table2.table1id) AND (table2.id=table3.table2id) ...
When I execute above SQL in the Query Analyser from SQL Server Enterprise Manager, it ALSO hangs...
I am not really suprised by that, because this SQL first create a huge table of 400,000 x 200 x 200 x 4 x 365 x 24 x 101 records and after that works through the WHERE statements to filter out the appropriate records.
for me it would be more logical to use the following code to process the cube, but that cannot be changed in Analysis Manager:
SELECT field1, field2,... fieldn FROM table1 LEFT JOIN table2 ON (table1.id=table2.table1id) .... LEFT JOIN tablem ON (tablem.id = tablem-1.tablemid)
When I execute above SQL in the Query Analyser from SQL Servel Enterprise Manager, it does NOT hang, but performs the query in about 35 seconds.... But Analysis Manager does not allow me to change the SQL used for processing the cube...
What can I do to add more dimensions to my cube... (It will be more anyway after adding the CalledNumber dimension)?? any suggestions?
I have a problem with processing my cube. My fact table (with telephone data) contains about 400,000 records... which is increasing rapidly (400,000 records is about 8 months of data)... I have a few dimensions: Dimension User: about 200 records Dimension Line: about 200 records Dimension Direction: 4 records Dimension Date: 365 records for each year Dimension TimeInterval: with 24 records
So far so good... when I process this dimension I have no problem.... However, when I add a dimension (CalledNumber, with exactly 101 records) the processing hangs as soon as it starts...
The SQL performed when processing the cube looks like this:
SELECT field1, field2,... fieldn FROM table1, table2,.... tablem WHERE (table1.id=table2.table1id) AND (table2.id=table3.table2id) ...
When I execute above SQL in the Query Analyser from SQL Server Enterprise Manager, it ALSO hangs...
I am not really suprised by that, because this SQL first create a huge table of 400,000 x 200 x 200 x 4 x 365 x 24 x 101 records and after that works through the WHERE statements to filter out the appropriate records.
for me it would be more logical to use the following code to process the cube, but that cannot be changed in Analysis Manager:
SELECT field1, field2,... fieldn FROM table1 LEFT JOIN table2 ON (table1.id=table2.table1id) .... LEFT JOIN tablem ON (tablem.id = tablem-1.tablemid)
When I execute above SQL in the Query Analyser from SQL Servel Enterprise Manager, it does NOT hang, but performs the query in about 35 seconds.... But Analysis Manager does not allow me to change the SQL used for processing the cube...
What can I do to add more dimensions to my cube... (It will be more anyway after adding the CalledNumber dimension)?? any suggestions?
i am getting the following error when i am processing the cube in SSAS 2008...Errors in the back-end database access module. The size specified for a binding was too small, resulting in one or more column values being truncated. Errors in the OLAP storage engine: An error occurred while the 'Policy Type' attribute of the 'Policy Type' dimension from the MyDemo' database.i verified the datatype column length for policytype column in the dimension as well as all fact views.
All I get back is an error message of "Analysis Services Processing Task Error: A Connection cannot be made. Ensure the Server is running" The server is running, I can process the cube by connecting to the AS instance and right-click processing it.
I can process the cube by running the SSIS task inside of SSDT Just when I deploy the SSIS package (in Project mode) and then execute it do I get the error message.
SQL Server, SSAS, and SSIS processes are all running under the same account. SSAS is on a separate server from SSIS and SQL if that matters.
we have our cubes in Server A and SQL DB resides on Server B (we are on SQL 2014), from last couple of days are cube started failing due to below error:
OLE DB or ODBC error: Protocol error in TDS stream; HY000; Protocol error in TDS stream; HY000; Protocol error in TDS stream; HY000; Communication link failure; 08S01; TCP Provider: An existing connection was forcibly closed by the remote host. ; 08S01
I have been going through some blogs to understand the error but don't find any specific yet.
how can use this mdx script in the calculation part of a cube, will i simply dump it in the script form by starting with the 'create member current cube.
[measures].[test]' select [measures].[abc] on 0, [xyz].[xyz].(&0):[xyz].[xyz].(&60) on 1 from ( select (tail([month].[month].[month].members,6))on 0 from [cube])
When I try to connect from excel , to SSAS Getting error message like
A Connection attempt failed because the connected party did not properly respond after a period of time or established connection failed because connected host has failed to respond.
If I connect to SSIS , I'm able to connect correctly.
Why I'm getting this error and how to overcome this?
I am doing workload analysis on SSAS - Tabular (2012), I have perfmon logs captured and want to run through PAL. I am looking out for threshold file for SSAS tabular 2012/2014.
I have a Calculated Member in SSAS that I need to adjust based what the current member is.
The code is below
CASE WHEN [Measures].[End LIS] = 0 AND "HELP" THEN CASE WHEN [Measures].[Beginning LIS] = 0 OR [Measures].[Beginning LIS] + [Measures].[Beginning LIS] + [Measures].[NETACTIVATIONS] = 0 THEN NULL ELSE ROUND([Measures].[Disconnects]/(([Measures].[Beginning LIS] + [Measures].[Beginning LIS] + [Measures].[NETACTIVATIONS])/2) * 100 ,2) END ELSE ROUND(([Measures].[Disconnects] / [AVERAGELIS] * 100) ,2) END
In English - i need this to translate to - of End LIS is 0 "AND the current member is the current month and current year" THEN carry on
I have two ssas databases with same number of cube in them. Cube names are also same. I want to merge/combine these two as one so that my reporting application may see a single database having measures/dimensions from both databases.Is it possible?I am doing this to achieve loose coupling between base and regional development work. if above is not possible, any way to achieve minimum dependency between a base and a regional project.
I got this error from a sql agent driven cube process yesterday and am wondering where the log of errors is created...
Executed as user: xservername$. <return xmlns="urn:schemas-microsoft-com:xml-analysis"><results xmlns="<root">http://schemas.microsoft.com/analysisservices/2003/xmla-multipleresults"><root xmlns="urn:schemas-microsoft-com:xml-analysis:empty"><Messages xmlns="urn:schemas-microsoft-com:xml-analysis:exception"><Warning WarningCode="1092354050" Description="Server: Operation completed with 1042 problems logged." Source="Microsoft SQL Server 2008 R2 Analysis Services" HelpFile="" /></Messages></root></results></return>.
The step failed.if its a property I can see related to the server in ssms, which property as I see lots of stuff with the word log in the property name.
Is it possible to have more than one cube under one SSAS database? For example I have a database "Test" and in this the cube exist is "TestCube", is iit possible to deploy another cube "TestCube2" under the Test databse?
If yes then what is the process to do that, the reason I am asing is there are some common dimensions used n both the cubes and I am not sure what is the best way so that I can use the shared dimension?
I've been working with SSAS for a good few years now but I keep bumping into this problem - my users are trying to build a measure that is based on a calculated attribute and finding it difficult to work out how to write the MDX to do so. Intuitively, they thought a Calculated Member would work, but I don't think a Calculated Member is quite the same thing from my understanding.
So, here's the scenario.
We have a Product Dimension. We have a Measure that is the Number of days the Product took to make, e.g. 5 days. We also have a Product Count measure that counts the number of Products.
The user would like to write a calculated measure that works out the number of products that took <5 days, 5-10 days, 10-15 days etc.It would be easy to write a set of calculated measures for each of these bandings, but the user wants effectively a single dynamic attribute to use in the calculation in order to automatically distribute these values across the columns in their pivot table.
Is this even possible? I was thinking I could build an attribute on the Product Dimension in the ETL to do this quite easily, but the user wants to be able to change the bandings on the fly by changing the MDX for the attribute, rather than go back to the developer every time.
I need to find the percentile using cube so i am using the below formula :
((n-1) * p /100) -1
n= count of number of array records p= percentile
I am using below MDX query:
WITH MEMBER [Measures].[PV] AS 25 Member [Measures].[CntCT] as Count(NonEmpty([Tb City].[City Name].&[DC], [Measures].[CPT1])) Member [Measures].[PVInt25] as Int(((([Measures].[CntCT] - 1)* [Measures].[PV])/100) - 1) Member [Measures].[PVC] as ([Measures].[CPT1],Order(NonEmpty([Tb City].[City Name].&[DC],[Measures].[CPT1]), [Measures].[CPT1],ASC).Item([Measures].[PVInt25]))
Select [Measures].[PVC] on columns, {[Tb City].[City Name]} on rows from test;
The line 2: Member [Measures].[CntCT]
In that i need to find the n count of rows where city is DC (City is my Dimension) in Measures CPT1
But currently it is giving the result 1 instead in actual in my test cube there is the city DC exists with 23 CPT1 rows count.
I tried the below query:
SELECT NON EMPTY {[Tb City 1].[City Name].[City Name].&[DC] } ON COLUMNS, NON EMPTY { ( [Measures].[Tb Main Count] ) } ON ROWS FROM [test]
Above query gives me the correct count i.e. 23 but i need to get the result of above query in line 2 of MDX query:
I have a requirement where I need to show the maximum value in grand totals but for the dimension members the same measure has to sum.
For ex: lets say I have a measure called Test and this is a base measure. The aggregation type set to this is SUM.
For this same measure the grand totals should not show the sum instead it should show the maximum value of the dimension members which is being analyzed across.
I want to implement population data in sales cube.
Fact table has customer code which is foreign key of Customer master dimension which in turn is linked to census data dimension. Census data dimension have city wise population data having foreign keys of zone and state.
