Analysis Services Error Configuration
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Configure Analysis Services For Sharepoint 2013
Dimensions and Partitions Tools and Approaches for Processing Batch Processing Remote Processing Error Configuration TOC Collapse the table of content Expand the table of content This documentation is archived and is not being maintained. This documentation is archived and is not being maintained. Error Configuration for Cube, Partition, and Dimension Processing (SSAS - Multidimensional) ssas server configuration SQL Server 2016 Other Versions SQL Server 2014 SQL Server 2012 SQL Server 2008 R2 Applies To: SQL Server 2016Error configuration properties on cube, partition, or dimension objects determine how the server responds when data integrity errors occur during processing. Duplicate keys, missing keys, and null values in a key column typically trigger such errors, and while the record causing the error will not be added to the database, you can set properties that determine what happens next. By default, processing stops. However, during cube development, you might want processing to continue when errors occur so that you can test cube behaviors with imported data, even if it is incomplete.This topic includes the following sections:Execution orderDefault behaviorsError Configuration PropertiesWhere to set Error Configuration propertiesMissing keys (KeyNotFound)Null foreign keys in a fact table (KeyNotFound)Null keys in a dimensionDuplicate keys resulting inconsistent relationships (KeyDuplicate)Change the error limit or error limit actionSet the error log pathNext stepExecution orderThe server always executes NullProcessing ru
Related Tips: > Analysis Services Development Problem What are the different methods of dealing with errors in SQL Server Analysis Services (SSAS) processing and should I change the default options? ssas cube processing error log What are the SSAS error processing options for a cube, a partition, or
Ssas Logging Cube Processing
a dimension? How can you change the SSAS error processing configuration? Solution SQL Server Analysis Services (SSAS) actually offers an
Error Handling In Ssas
array of various error handling techniques for common issues that surface when processing a cube, a partition, or a dimension. These properties allow you to set various error number thresholds for stopping processing https://msdn.microsoft.com/en-us/library/ms180058.aspx while at the same time telling SSAS how to handle specific errors that occur. As with many features, you need to be careful to use these options appropriately and with full knowledge of the impact on your data. Many of the options often would violate foreign key constraint issues that normally would surface in a normalized OLTP database. To the contrary, the error processing options https://www.mssqltips.com/sqlservertip/3476/sql-server-analysis-services-ssas-processing-error-configurations/ provide a great way for cube processing to continue when only minor or immaterial errors occur during cube processing which in turn provides for great "up and running" time for the cubes themselves. We will use the Adventure Works databases as the basis for our SSAS cube processing. The 2014 versions of the regular and data warehousedatabases, along with the SSAS cube database backups are available on Codeplex at https://msftdbprodsamples.codeplex.com/releases/view/125550. Once you download and install the SQL Server databases and the MultiDimensional SSAS cube database, we will subsequently useSQL Server Data Tools (SSDT-BI) for Visual Studio 2013 to work through the cube processing examples. Setting the SSAS ErrorConfiguration Properties As shown in the next illustration the default error configuration for an SSAS cube is not surprisingly "default". In actuality,9 properties make up the error configuration setting and each property has its own default value as shown in the second illustration below. Each of the 9 properties controls slightly different processing results and several of the settings have the same potential values that can be selected. The properties include:CalculationError - Determines what occurs when an error is found in a calculation created on the Calcula
Error configuration in SSAS Posted on October 12, 2011 by James Serra In SSAS, there is an Error Configuration object http://www.jamesserra.com/archive/2011/10/error-configuration-in-ssas/ that is central to the management of data integrity errors. The following picture shows the ErrorConfiguration properties for a cube: There are numerous objects where you can specify https://books.google.com/books?id=bATOzjQmhIgC&pg=PA190&lpg=PA190&dq=analysis+services+error+configuration&source=bl&ots=LZ4alHViUR&sig=t5OOcq_X3gWYDqcqQr1a0muOVLc&hl=en&sa=X&ved=0ahUKEwjVu6nnx6vPAhXs44MKHdC-DUgQ6AEIVzA the error configuration via the properties dialog: dimension, cube, measure group and partition. Also, when you are on the "Process Database" dialog, you can change the error analysis services configuration via the "Change Settings…" button. In addition, the error configuration can also be overridden on the Batch and Process commands. So why would you want to change one of these error configuration properties? The most common reason I have found is for the situation where a fact table has records with IDs that analysis services configuration are not in the corresponding dimension table. For example, the sales fact table has records with product_id that do not exist in the product dimension table. If this happens the server will produce a KeyNotFound error during partition processing. By default, KeyNotFound errors are logged and counted towards the key error limit, which is zero by default. Hence the processing will fail upon the first error. But in most cases we don't want the processing to bomb, instead we would rather just allocate the fact record to the unknown member (especially when you are in development and the data warehouse is only half-finished). To accomplish this, just modify the ErrorConfiguration on the measure group or partition to KeyNotFound=IgnoreError. There are lots of other possible data integrity errors that have multiple ways of handling those errors. Instead of explaining them all in this blog, I'm going to refer you to Handling Data Integrity Issues in Analysis Services 2005 since it does a very thorough job of explaining all the
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