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• get output of last Process on SSAS cube

  - by Raj More

  I have processed a SSAS cube. After it was done processing, I hit the close button - and then realized that I should have saved the output. I think SSAS stores the processing log as a text or XML file, but I do not know what folder to look into. Can someone direct me to retrieving processing logs?

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• Distributed and/or Parallel SSIS processing

  - by Jeff

  Background: Our company hosts SaaS DSS applications, where clients provide us data Daily and/or Weekly, which we process & merge into their existing database. During business hours, load in the servers are pretty minimal as it's mostly users running simple pre-defined queries via the website, or running drill-through reports that mostly hit the SSAS OLAP cube. I manage the IT Operations Team, and so far this has presented an interesting "scaling" issue for us. For our daily-refreshed clients, the server is only "busy" for about 4-6 hrs at night. For our weekly-refresh clients, the server is only "busy" for maybe 8-10 hrs per week! We've done our best to use some simple methods of distributing the load by spreading the daily clients evenly among the servers such that we're not trying to process daily clients back-to-back over night. But long-term this scaling strategy creates two notable issues. First, it's going to consume a pretty immense amount of hardware that sits idle for large periods of time. Second, it takes significant Production Support over-head to basically "schedule" the ETL such that they don't over-lap, and move clients/schedules around if they out-grow the resources on a particular server or allocated time-slot. As the title would imply, one option we've tried is running multiple SSIS packages in parallel, but in most cases this has yielded VERY inconsistent results. The most common failures are DTExec, SQL, and SSAS fighting for physical memory and throwing out-of-memory errors, and ETLs running 3,4,5x longer than expected. So from my practical experience thus far, it seems like running multiple ETL packages on the same hardware isn't a good idea, but I can't be the first person that doesn't want to scale multiple ETLs around manual scheduling, and sequential processing. One option we've considered is virtualizing the servers, which obviously doesn't give you any additional resources, but moves the resource contention onto the hypervisor, which (from my experience) seems to manage simultaneous CPU/RAM/Disk I/O a little more gracefully than letting DTExec, SQL, and SSAS battle it out within Windows. Question to the forum: So my question to the forum is, are we missing something obvious here? Are there tools out there that can help manage running multiple SSIS packages on the same hardware? Would it be more "efficient" in terms of parallel execution if instead of running DTExec, SQL, and SSAS same machine (with every machine running that configuration), we run in pairs of three machines with SSIS running on one machine, SQL on another, and SSAS on a third? Obviously that would only make sense if we could process more than the three ETL we were able to process on the machine independently. Another option we've considered is completely re-architecting our SSIS package to have one "master" package for all clients that attempts to intelligently chose a server based off how "busy" it already is in terms of CPU/Memory/Disk utilization, but that would be a herculean effort, and seems like we're trying to reinvent something that you would think someone would sell (although I haven't had any luck finding it). So in summary, are we missing an obvious solution for this, and does anyone know if any tools (for free or for purchase, doesn't matter) that facilitate running multiple SSIS ETL packages in parallel and on multiple servers? (What I would call a "queue & node based" system, but that's not an official term). Ultimately VMWare's Distributed Resource Scheduler addresses this as you simply run a consistent number of clients per VM that you know will never conflict scheduleing-wise, then leave it up to VMWare to move the VMs around to balance out hardware usage. I'm definitely not against using VMWare to do this, but since we're a 100% Microsoft app stack, it seems like -someone- out there would have solved this problem at the application layer instead of the hypervisor layer by checking on resource utilization at the OS, SQL, SSAS levels. I'm open to ANY discussion on this, and remember no suggestion is too crazy or radical! :-) Right now, VMWare is the only option we've found to get away from "manually" balancing our resources, so any suggestions that leave us on a pure Microsoft stack would be great. Thanks guys, Jeff

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• Can you authenticate into SSAS with AD LDS (ADAM) accounts?

  - by Jaxidian

  I'm very new to AD LDS and experienced but not qualified with SSAS, so my apologies for my ignorances with these. We have a couple implementations where we expose SSAS via an HTTPS proxy (msmdpump.dll) and currently we have a temporary domain setup handling this (where our end-users have a second account+creds to manage because of this = non-ideal). I want to move us towards a more permanent solution which I'm thinking of moving all authentication to AD LDS for our web apps, SSAS, and others. However, SSAS is where I'm concerned about this. I know SSAS requires Windows Authentication and to play nicely, and that this ultimately means Active Directory will be involved. Is there a way to get this done with AD LDS instead of having to use a full AD DS implementation? If so, how? (Note: My question over at StackOverflow had a suggestion that I post this question here on ServerFault instead. My apologies if I'm not asking in the right forum.)

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• LASTDATE dates arguments and upcoming events #dax #tabular #powerpivot

  - by Marco Russo (SQLBI)

  Recently I had to write a DAX formula containing a LASTDATE within the logical condition of a FILTER: I found that its behavior was not the one I expected and I further investigated. At the end, I wrote my findings in this article on SQLBI, which can be applied to any Time Intelligence function with a <dates> argument.The key point is that when you write LASTDATE( table[column] )in reality you obtain something like LASTDATE( CALCULATETABLE( VALUES( table[column] ) ) )which converts an existing row context into a filter context.Thus, if you have something like FILTER( table, table[column] = LASTDATE( table[column] ) the FILTER will return all the rows of table, whereas you probably want to use FILTER( table, table[column] = LASTDATE( VALUES( table[column] ) ) )so that the existing filter context before executing FILTER is used to get the result from VALUES( table[column] ), avoiding the automatic expansion that would include a CALCULATETABLE that would hide the existing filter context.If after reading the article you want to get more insights, read the Jeffrey Wang's post here.In these days I'm speaking at SQLRally Nordic 2012 in Copenhagen and I will be in Cologne (Germany) next week for a SSAS Tabular Workshop, whereas Alberto will teach the same workshop in Amsterdam one week later. Both workshops still have seats available and the Amsterdam's one is still in early bird discount until October 3rd!Then, in November I expect to meet many blog readers at PASS Summit 2012 in Seattle and I hope to find the time to write other article on interesting things on Tabular and PowerPivot. Stay tuned!

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• T-SQL Tuesday #005 : SSRS Parameters and MDX Data Sets

  - by blakmk

  Well it this weeks  T-SQL Tuesday #005  topic seems quite fitting. Having spent the past few weeks creating reports and dashboards in SSRS and SSAS 2008, I was frustrated by how difficult it is to use custom datasets to generate parameter drill downs. It also seems Reporting Services can be quite unforgiving when it comes to renaming things like datasets, so I want to share a couple of techniques that I found useful. One of the things I regularly do is to add parameters to the querys. However doing this causes Reporting Services to generate a hidden dataset and parameter name for you. One of the things I like to do is tweak these hidden datasets removing the ‘ALL’ level which is a tip I picked up from Devin Knight in his blog: There are some rules i’ve developed for myself since working with SSRS and MDX, they may not be the best or only way but they work for me. Rule 1 – Never trust the automatically generated hidden datasets Or even ANY, automatically generated MDX queries for that matter.... I’ve previously blogged about this here.   If you examine the MDX generated in the hidden dataset you will see that it generates the MDX in the context of the originiating query by building a subcube, this mean it may NOT be appropriate to use this in a subsequent query which has a different context. Make sure you always understand what is going on. Often when i’m developing a dashboard or a report there are several parameter oriented datasets that I like to manually create. It can be that I have different datasets using the same dimension but in a different context. One example of this, is that I often use a dataset for last month and a dataset for the last 6 months. Both use the same date hierarchy. However Reporting Services seems not to be too smart when it comes to generating unique datasets when working with and renaming parameters and datasets. Very often I have come across this error when it comes to refactoring parameter names and default datasets. "an item with the same key has already been added" The only way I’ve found to reliably avoid this is to obey to rule 2. Rule 2 – Follow this sequence when it comes to working with Parameters and DataSets: 1.    Create Lookup and Default Datasets in advance 2.    Create parameters (set the datasets for available and default values) 3.    Go into query and tick parameter check box 4.    On dataset properties screen, select the parameter defined earlier from the parameter value defined earlier. Rule 3 – Dont tear your hair out when you have just renamed objects and your report doesn’t build Just use XML notepad on the original report file. I found I gained a good understanding of the structure of the underlying XML document just by using XML notepad. From this you can do a search and find references of the missing object. You can also just do a wholesale search and replace (after taking a backup copy of course ;-) So I hope the above help to save the sanity of anyone who regularly works with SSRS and MDX.   @Blakmk

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• Building dynamic OLAP data marts on-the-fly

  - by DrJohn

  At the forthcoming SQLBits conference, I will be presenting a session on how to dynamically build an OLAP data mart on-the-fly. This blog entry is intended to clarify exactly what I mean by an OLAP data mart, why you may need to build them on-the-fly and finally outline the steps needed to build them dynamically. In subsequent blog entries, I will present exactly how to implement some of the techniques involved. What is an OLAP data mart? In data warehousing parlance, a data mart is a subset of the overall corporate data provided to business users to meet specific business needs. Of course, the term does not specify the technology involved, so I coined the term "OLAP data mart" to identify a subset of data which is delivered in the form of an OLAP cube which may be accompanied by the relational database upon which it was built. To clarify, the relational database is specifically create and loaded with the subset of data and then the OLAP cube is built and processed to make the data available to the end-users via standard OLAP client tools. Why build OLAP data marts? Market research companies sell data to their clients to make money. To gain competitive advantage, market research providers like to "add value" to their data by providing systems that enhance analytics, thereby allowing clients to make best use of the data. As such, OLAP cubes have become a standard way of delivering added value to clients. They can be built on-the-fly to hold specific data sets and meet particular needs and then hosted on a secure intranet site for remote access, or shipped to clients' own infrastructure for hosting. Even better, they support a wide range of different tools for analytical purposes, including the ever popular Microsoft Excel. Extension Attributes: The Challenge One of the key challenges in building multiple OLAP data marts based on the same 'template' is handling extension attributes. These are attributes that meet the client's specific reporting needs, but do not form part of the standard template. Now clearly, these extension attributes have to come into the system via additional files and ultimately be added to relational tables so they can end up in the OLAP cube. However, processing these files and filling dynamically altered tables with SSIS is a challenge as SSIS packages tend to break as soon as the database schema changes. There are two approaches to this: (1) dynamically build an SSIS package in memory to match the new database schema using C#, or (2) have the extension attributes provided as name/value pairs so the file's schema does not change and can easily be loaded using SSIS. The problem with the first approach is the complexity of writing an awful lot of complex C# code. The problem of the second approach is that name/value pairs are useless to an OLAP cube; so they have to be pivoted back into a proper relational table somewhere in the data load process WITHOUT breaking SSIS. How this can be done will be part of future blog entry. What is involved in building an OLAP data mart? There are a great many steps involved in building OLAP data marts on-the-fly. The key point is that all the steps must be automated to allow for the production of multiple OLAP data marts per day (i.e. many thousands, each with its own specific data set and attributes). Now most of these steps have a great deal in common with standard data warehouse practices. The key difference is that the databases are all built to order. The only permanent database is the metadata database (shown in orange) which holds all the metadata needed to build everything else (i.e. client orders, configuration information, connection strings, client specific requirements and attributes etc.). The staging database (shown in red) has a short life: it is built, populated and then ripped down as soon as the OLAP Data Mart has been populated. In the diagram below, the OLAP data mart comprises the two blue components: the Data Mart which is a relational database and the OLAP Cube which is an OLAP database implemented using Microsoft Analysis Services (SSAS). The client may receive just the OLAP cube or both components together depending on their reporting requirements.  So, in broad terms the steps required to fulfil a client order are as follows: Step 1: Prepare metadata Create a set of database names unique to the client's order Modify all package connection strings to be used by SSIS to point to new databases and file locations. Step 2: Create relational databases Create the staging and data mart relational databases using dynamic SQL and set the database recovery mode to SIMPLE as we do not need the overhead of logging anything Execute SQL scripts to build all database objects (tables, views, functions and stored procedures) in the two databases Step 3: Load staging database Use SSIS to load all data files into the staging database in a parallel operation Load extension files containing name/value pairs. These will provide client-specific attributes in the OLAP cube. Step 4: Load data mart relational database Load the data from staging into the data mart relational database, again in parallel where possible Allocate surrogate keys and use SSIS to perform surrogate key lookup during the load of fact tables Step 5: Load extension tables & attributes Pivot the extension attributes from their native name/value pairs into proper relational tables Add the extension attributes to the views used by OLAP cube Step 6: Deploy & Process OLAP cube Deploy the OLAP database directly to the server using a C# script task in SSIS Modify the connection string used by the OLAP cube to point to the data mart relational database Modify the cube structure to add the extension attributes to both the data source view and the relevant dimensions Remove any standard attributes that not required Process the OLAP cube Step 7: Backup and drop databases Drop staging database as it is no longer required Backup data mart relational and OLAP database and ship these to the client's infrastructure Drop data mart relational and OLAP database from the build server Mark order complete Start processing the next order, ad infinitum. So my future blog posts and my forthcoming session at the SQLBits conference will all focus on some of the more interesting aspects of building OLAP data marts on-the-fly such as handling the load of extension attributes and how to dynamically alter the structure of an OLAP cube using C#.

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• Connection error when trying to browse SSAS cube in BIDS

  - by lance

  SQL Server 2008 db instance is installed on a win 2003 server, networked (but no domain) VM. I can browse a cube from BIDS on the same VM, but when I try to browse the same cube on a windows 7 (home premium) networked machine, I get a connection error. The error suggests checking the datasource settings which I have, and when I click "test connection" on the datasource it is successful. Looking for probably causes and solutions?

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• A new SQL, a new Analysis Services, a new Workshop! #ssas #sql2012

  - by Marco Russo (SQLBI)

  One week ago Microsoft SQL Server 2012 finally debuted with a virtual launch event and you can find many intro sessions there (20 minutes each). There is a lot of new content available if you want to learn more about SQL 2012 and in this blog post I’d like to provide a few link to sessions, documents, bits and courses that are available now or very soon. First of all, the release of Analysis Services 2012 has finally released PowerPivot 2012 (many of us called it PowerPivot v2 before this official name) and also the new Data Mining Add-in for Microsoft Office 2010, now available also for Excel 64bit! And, of course, don’t miss the Microsoft SQL Server 2012 Feature Pack, there are a lot of upgrades for both DBAs and developers. I just discovered there is a new LocalDB version of SQL Express that can run in user mode without any setup. Is this the end of SQL CE? But now, back to Analysis Services: if you want some tutorial on Tabular, the Microsoft Virtual Academy has a whole track dedicated to Analysis Services 2012 but you will probably be interested also in the one about Reporting Services 2012. If you think that virtual is good but it’s not enough, there are plenty of conferences in the coming months – these are just those where I and Alberto will deliver some SSAS Tabular presentations: SQLBits X, London, March 29-31, 2012: if you are in London or want a good reason to go, this is the most important SQL Server event in Europe this year, no doubts about it. And not only because of the high number of attendees, but also because there is an impressive number of speakers (excluding me, of course) coming from all over the world. This is an event second only to PASS Summit in Seattle so there are no good reasons to not attend it. Microsoft SQL Server & Business Intelligence Conference 2012, Milan, March 28-29, 2012: this is an Italian conference so the language might be a barrier, but many of us also speak English and the food is good! Just a few seats still available. TechEd North America, Orlando, June 11-14, 2012: you know, this is a big event and it contains everything – if you want to spend a whole day learning the SSAS Tabular model with me and Alberto, don’t miss our pre-conference day “Using BISM Tabular in Microsoft SQL Server Analysis Services 2012” (be careful, it is on June 10, a nice study-Sunday!). TechEd Europe, Amsterdam, June 26-29, 2012: the European version of TechEd provides almost the same content and you don’t have to go overseas. We also run the same pre-conference day “Using BISM Tabular in Microsoft SQL Server Analysis Services 2012” (in this case, it is on June 25, that’s a regular Monday). I and Alberto will also speak at some user group meeting around Europe during… well, we’re going to travel a lot in the next months. In fact, if you want to get a complete training on SSAS Tabular, you should spend two days with us in one of our SSAS Tabular Workshop! We prepared a 2-day seminar, a very intense one, that start from the simple tabular modeling and cover architecture, DAX, query, advanced modeling, security, deployment, optimization, monitoring, relationships with PowerPivot and Multidimensional… Really, there are a lot of stuffs here! We announced the first dates in Europe and also an online edition optimized for America’s time zone: Apr 16-17, 2012 – Amsterdam, Netherlands Apr 26-27, 2012 – Copenhagen, Denmark May 7-8, 2012 – Online for America’s time zone May 14-15, 2012 – Brussels, Belgium May 21-22, 2012 – Oslo, Norway May 24-25, 2012 – Stockholm, Sweden May 28-29, 2012 – London, United Kingdom May 31-Jun 1, 2012 – Milan, Italy (Italian language) Also Chris Webb will join us in this workshop and in every date you can find who is the speaker on the web site. The course is based on our upcoming book, almost 600 pages (!) about SSAS Tabular, an incredible effort that will be available very soon in a preview (rough cuts from O’Reilly) and will be on the shelf in May. I will provide a link to order it as soon as we have one! And if you think that this is not enough… you’re right! Do you know what is the only thing you can do to optimize your Tabular model? Optimize your DAX code. Learning DAX is easy, mastering DAX requires some knowledge… and our DAX Advanced Workshop will provide exactly the required content. Public classes will be available later this year, by now we just deliver it on demand.

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• Meet SQLBI at PASS Summit 2012 #sqlpass

  - by Marco Russo (SQLBI)

  Next week I and Alberto Ferrari will be in Seattle at PASS Summit 2012. You can meet us at our sessions, at a book signing and hopefully watching some other session during the conference. Here are our appointments: Thursday, November 08, 2012, 10:15 AM - 11:45 AM – Alberto Ferrari – Room 606-607 Querying and Optimizing DAX (BIA-321-S) Do you want to learn how to write DAX queries and how to optimize them? Don’t miss this session! Thursday, November 08, 2012, 12:00 PM - 12:30 PM – Bookstore Book signing event at the Bookstore corner with Alberto Ferrari, Marco Russo and Chris Webb Visit the bookstore and sign your copy of our Microsoft SQL Server 2012 Analysis Services: The BISM Tabular Model book. Thursday, November 08, 2012, 1:30 PM - 2:45 PM – Marco Russo – Room 611 Near Real-Time Analytics with xVelocity (without DirectQuery) (BIA-312) What’s the latency you can tolerate for your data? Discover what is the limit in Tabular without using DirectQuery and learn how to optimize your data model and your queries for a near real-time analytical system. Not a trivial task, but more affordable than you might think. Friday, November 09, 2012, 9:45 AM - 11:00 AM Parent-Child Hierarchies in Tabular (BIA-301) Multidimensional has a more advanced support for hierarchies than Tabular, but in reality you can do almost the same things by using data modeling, DAX functions and BIDS Helper!  Friday, November 09, 2012, 1:00 PM - 2:15 PM – Marco Russo – Room 612 Inside DAX Query Plans (BIA-403) Discover the query plan for your DAX query and learn how to read it and how to optimize a DAX query by using these information. If you meet us at the conference, stop us and say hello: it’s always nice to know our readers!

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• DIVIDE vs division operator in #dax

  - by Marco Russo (SQLBI)

  Alberto Ferrari wrote an interesting article about DIVIDE performance in DAX. This new function has been introduced in SQL Server Analysis Services 2012 SP1, so it is available also in Excel 2013 (which still doesn’t have other features/fixes introduced by following Cumulative Updates…). The idea that instead of writing: IF ( Sales[Quantity] <> 0, Sales[Amount] / Sales[Quantity], BLANK () ) you can write: DIVIDE ( Sales[Amount], Sales[Quantity] ) There is a third optional argument in DIVIDE that defines the result in case the denominator (second argument) is zero, and by default its value is BLANK, so I omitted the third argument in my example. Using DIVIDE is very important, especially when you use a measure in MDX (for example in an Excel PivotTable) because it raise the chance that the non empty evaluation for the result is evaluated in bulk mode instead of cell-by-cell. However, from a DAX point of view, you might find it’s better to use the standard division operator removing the IF statement. I suggest you to read Alberto’s article, because you will find that an expression applying a filter using FILTER is faster than using CALCULATE, which is against any rule of thumb you might have read until now! Again, this is not always true, and depends on many conditions – trying to simplify, we might say that for a simple calculation, the query plan generated by FILTER could be more efficient – but, as usual, it depends, and 90% of the times using FILTER instead of CALCULATE produces slower performance. Do not take anything for granted, and always check the query plan when performance are your first issue!

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• SSIS: Deploying OLAP cubes using C# script tasks and AMO

  - by DrJohn

  As part of the continuing series on Building dynamic OLAP data marts on-the-fly, this blog entry will focus on how to automate the deployment of OLAP cubes using SQL Server Integration Services (SSIS) and Analysis Services Management Objects (AMO). OLAP cube deployment is usually done using the Analysis Services Deployment Wizard. However, this option was dismissed for a variety of reasons. Firstly, invoking external processes from SSIS is fraught with problems as (a) it is not always possible to ensure SSIS waits for the external program to terminate; (b) we cannot log the outcome properly and (c) it is not always possible to control the server's configuration to ensure the executable works correctly. Another reason for rejecting the Deployment Wizard is that it requires the 'answers' to be written into four XML files. These XML files record the three things we need to change: the name of the server, the name of the OLAP database and the connection string to the data mart. Although it would be reasonably straight forward to change the content of the XML files programmatically, this adds another set of complication and level of obscurity to the overall process. When I first investigated the possibility of using C# to deploy a cube, I was surprised to find that there are no other blog entries about the topic. I can only assume everyone else is happy with the Deployment Wizard! SSIS "forgets" assembly references If you build your script task from scratch, you will have to remember how to overcome one of the major annoyances of working with SSIS script tasks: the forgetful nature of SSIS when it comes to assembly references. Basically, you can go through the process of adding an assembly reference using the Add Reference dialog, but when you close the script window, SSIS "forgets" the assembly reference so the script will not compile. After repeating the operation several times, you will find that SSIS only remembers the assembly reference when you specifically press the Save All icon in the script window. This problem is not unique to the AMO assembly and has certainly been a "feature" since SQL Server 2005, so I am not amazed it is still present in SQL Server 2008 R2! Sample Package So let's take a look at the sample SSIS package I have provided which can be downloaded from here: DeployOlapCubeExample.zip  Below is a screenshot after a successful run. Connection Managers The package has three connection managers: AsDatabaseDefinitionFile is a file connection manager pointing to the .asdatabase file you wish to deploy. Note that this can be found in the bin directory of you OLAP database project once you have clicked the "Build" button in Visual Studio TargetOlapServerCS is an Analysis Services connection manager which identifies both the deployment server and the target database name. SourceDataMart is an OLEDB connection manager pointing to the data mart which is to act as the source of data for your cube. This will be used to replace the connection string found in your .asdatabase file Once you have configured the connection managers, the sample should run and deploy your OLAP database in a few seconds. Of course, in a production environment, these connection managers would be associated with package configurations or set at runtime. When you run the sample, you should see that the script logs its activity to the output screen (see screenshot above). If you configure logging for the package, then these messages will also appear in your SSIS logging. Sample Code Walkthrough Next let's walk through the code. The first step is to parse the connection string provided by the TargetOlapServerCS connection manager and obtain the name of both the target OLAP server and also the name of the OLAP database. Note that the target database does not have to exist to be referenced in an AS connection manager, so I am using this as a convenient way to define both properties. We now connect to the server and check for the existence of the OLAP database. If it exists, we drop the database so we can re-deploy. svr.Connect(olapServerName); if (svr.Connected) { // Drop the OLAP database if it already exists Database db = svr.Databases.FindByName(olapDatabaseName); if (db != null) { db.Drop(); } // rest of script } Next we start building the XMLA command that will actually perform the deployment. Basically this is a small chuck of XML which we need to wrap around the large .asdatabase file generated by the Visual Studio build process. // Start generating the main part of the XMLA command XmlDocument xmlaCommand = new XmlDocument(); xmlaCommand.LoadXml(string.Format("<Batch Transaction='false' xmlns='http://schemas.microsoft.com/analysisservices/2003/engine'><Alter AllowCreate='true' ObjectExpansion='ExpandFull'><Object><DatabaseID>{0}</DatabaseID></Object><ObjectDefinition/></Alter></Batch>", olapDatabaseName));  Next we need to merge two XML files which we can do by simply using setting the InnerXml property of the ObjectDefinition node as follows: // load OLAP Database definition from .asdatabase file identified by connection manager XmlDocument olapCubeDef = new XmlDocument(); olapCubeDef.Load(Dts.Connections["AsDatabaseDefinitionFile"].ConnectionString); // merge the two XML files by obtain a reference to the ObjectDefinition node oaRootNode.InnerXml = olapCubeDef.InnerXml;   One hurdle I had to overcome was removing detritus from the .asdabase file left by the Visual Studio build. Through an iterative process, I found I needed to remove several nodes as they caused the deployment to fail. The XMLA error message read "Cannot set read-only node: CreatedTimestamp" or similar. In comparing the XMLA generated with by the Deployment Wizard with that generated by my code, these read-only nodes were missing, so clearly I just needed to strip them out. This was easily achieved using XPath to find the relevant XML nodes, of which I show one example below: foreach (XmlNode node in rootNode.SelectNodes("//ns1:CreatedTimestamp", nsManager)) { node.ParentNode.RemoveChild(node); } Now we need to change the database name in both the ID and Name nodes using code such as: XmlNode databaseID = xmlaCommand.SelectSingleNode("//ns1:Database/ns1:ID", nsManager); if (databaseID != null) databaseID.InnerText = olapDatabaseName; Finally we need to change the connection string to point at the relevant data mart. Again this is easily achieved using XPath to search for the relevant nodes and then replace the content of the node with the new name or connection string. XmlNode connectionStringNode = xmlaCommand.SelectSingleNode("//ns1:DataSources/ns1:DataSource/ns1:ConnectionString", nsManager); if (connectionStringNode != null) { connectionStringNode.InnerText = Dts.Connections["SourceDataMart"].ConnectionString; } Finally we need to perform the deployment using the Execute XMLA command and check the returned XmlaResultCollection for errors before setting the Dts.TaskResult. XmlaResultCollection oResults = svr.Execute(xmlaCommand.InnerXml);  // check for errors during deployment foreach (Microsoft.AnalysisServices.XmlaResult oResult in oResults) { foreach (Microsoft.AnalysisServices.XmlaMessage oMessage in oResult.Messages) { if ((oMessage.GetType().Name == "XmlaError")) { FireError(oMessage.Description); HadError = true; } } } If you are not familiar with XML programming, all this may all seem a bit daunting, but perceiver as the sample code is pretty short. If you would like the script to process the OLAP database, simply uncomment the lines in the vicinity of Process method. Of course, you can extend the script to perform your own custom processing and to even synchronize the database to a front-end server. Personally, I like to keep the deployment and processing separate as the code can become overly complex for support staff.If you want to know more, come see my session at the forthcoming SQLBits conference.

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• Multidimensional Thinking–24 Hours of Pass: Celebrating Women in Technology

  - by smisner

  It’s Day 1 of #24HOP and it’s been great to participate in this event with so many women from all over the world in one long training-fest. The SQL community has been abuzz on Twitter with running commentary which is fun to watch while listening to the current speaker. If you missed the fun today because you’re busy with all that work you’ve got to do – don’t despair. All sessions are recorded and will be available soon. Keep an eye on the 24 Hours of Pass page for details. And the fun’s not over today. Rather than run 24 hours consecutively, #24HOP is now broken down into 12-hours over two days, so check out the schedule to see if there’s a session that interests you and fits your schedule. I’m pleased to announce that my business colleague Erika Bakse ( Blog | Twitter) will be presenting on Day 2 – her debut presentation for a PASS event. (And I’m also pleased to say she’s my daughter!) Multidimensional Thinking: The Presentation My contribution to this lineup of terrific speakers was Multidimensional Thinking. Here’s the abstract: “Whether you’re developing Analysis Services cubes or creating PowerPivot workbooks, you need to get into a multidimensional frame of mind to produce a model that best enables users to answer their business questions on their own. Many database professionals struggle initially with multidimensional models because the data modeling process is much different than the one they use to produce traditional, third normal form databases. In this session, I’ll introduce you to the terminology of multidimensional modeling and step through the process of translating business requirements into a viable model.” If you watched the presentation and want a copy of the slides, you can download a copy here. And you’re welcome to download the slides even if you didn’t watch the presentation, but they’ll make more sense if you did! Kimball All the Way There’s only so much I can cover in the time allotted, but I hope that I succeeded in my attempt to build a foundation that prepares you for starting out in business intelligence. One of my favorite resources that will get into much more detail about all kinds of scenarios (well beyond the basics!) is The Data Warehouse Toolkit (Second Edition) by Ralph Kimball. Anything from Kimball or the Kimball Group is worth reading. Kimball material might take reading and re-reading a few times before it makes sense. From my own experience, I found that I actually had to just build my first data warehouse using dimensional modeling on faith that I was going the right direction because it just didn’t click with me initially. I’ve had years of practice since then and I can say it does get easier with practice. The most important thing, in my opinion, is that you simply must prototype a lot and solicit user feedback, because ultimately the model needs to make sense to them. They will definitely make sure you get it right! Schema Generation One question came up after the presentation about whether we use SQL Server Management Studio or Business Intelligence Development Studio (BIDS) to build the tables for the dimensional model. My answer? It really doesn’t matter how you create the tables. Use whatever method that you’re comfortable with. But just so happens that it IS possible to set up your design in BIDS as part of an Analysis Services project and to have BIDS generate the relational schema for you. I did a Webcast last year called Building a Data Mart with Integration Services that demonstrated how to do this. Yes, the subject was Integration Services, but as part of that presentation, I showed how to leverage Analysis Services to build the tables, and then I showed how to use Integration Services to load those tables. I blogged about this presentation in September 2010 and included downloads of the project that I used. In the blog post, I explained that I missed a step in the demonstration. Oops. Just as an FYI, there were two more Webcasts to finish the story begun with the data – Accelerating Answers with Analysis Services and Delivering Information with Reporting Services. If you want to just cut to the chase and learn how to use Analysis Services to build the tables, you can see the Using the Schema Generation Wizard topic in Books Online.

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• Learn more about MDX every day

  - by Marco Russo (SQLBI)

  I started learning MDX in 1999 and after so many years of using it and teaching it to other people, I still discover something new every day. Not only because I use it in strange ways (well, this doesn’t happen every day, at least!) but because there are other interesting information to read. Jeffrey Wang just published another interesting blog about data prefetching in MDX, which explains very well some strange behavior that sometime I observed in some customer cube. I never had a clear explanation...(read more)

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• SQL Server Training in the UK–SSIS, MDX, Admin, MDS, Internals

  - by simonsabin

  If you are looking for SQL Server training they there is no better place to start than a new company Technitrain Its been setup by a fellow MVP and SQLBits Organiser Chris Webb. Why this company rather than any others? Training based on real world experience by the best in the business. The key to Technitrain’s model is not to cram the shelves high with courses and get some average Joe trainers to deliver them. Technitrain bring in world renowned experts in their fields to deliver courses written...(read more)

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• Common request: export #Tabular model and data to #PowerPivot

  - by Marco Russo (SQLBI)

  I received this request in many courses, messages and also forum discussions: having an Analysis Services Tabular model, it would be nice being able to extract a correspondent PowerPivot data model. In order of priority, here are the specific feature people (including me) would like to see: Create an empty PowerPivot workbook with the same data model of a Tabular model Change the connections of the tables in the PowerPivot workbook extracting data from the Tabular data model Every table should have an EVALUATE ‘TableName’ query in DAX Apply a filter to data extracted from every table For example, you might want to extract all data for a single country or year or customer group Using the same technique of applying filter used for role based security would be nice Expose an API to automate the process of creating a PowerPivot workbook Use case: prepare one workbook for every employee containing only its data, that he can use offline Common request for salespeople who want a mini-BI tool to use in front of the customer/lead/supplier, regardless of a connection available This feature would increase the adoption of PowerPivot and Tabular (and, therefore, Business Intelligence licenses instead of Standard), and would probably raise the sales of Office 2013 / Office 365 driven by ISV, who are the companies who requests this feature more. If Microsoft would do this, it would be acceptable it only works on Office 2013. But if a third-party will do that, it will make sense (for their revenues) to cover both Excel 2010 and Excel 2013. Another important reason for this feature is that the “Offline cube” feature that you have in Excel is not available when your PivotTable is connected to a Tabular model, but it can only be used when you connect to Analysis Services Multidimensional. If you think this is an important features, you can vote this Connect item.

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• Possible SWITCH Optimization in DAX – #powerpivot #dax #tabular

  - by Marco Russo (SQLBI)

  In one of the Advanced DAX Workshop I taught this year, I had an interesting discussion about how to optimize a SWITCH statement (which could be frequently used checking a slicer, like in the Parameter Table pattern). Let’s start with the problem. What happen when you have such a statement? Sales :=     SWITCH (         VALUES ( Period[Period] ),         "Current", [Internet Total Sales],         "MTD", [MTD Sales],         "QTD", [QTD Sales],         "YTD", [YTD Sales],          BLANK ()     ) The SWITCH statement is in reality just syntax sugar for a nested IF statement. When you place such a measure in a pivot table, for every cell of the pivot table the IF options are evaluated. In order to optimize performance, the DAX engine usually does not compute cell-by-cell, but tries to compute the values in bulk-mode. However, if a measure contains an IF statement, every cell might have a different execution path, so the current implementation might evaluate all the possible IF branches in bulk-mode, so that for every cell the result from one of the branches will be already available in a pre-calculated dataset. The price for that could be high. If you consider the previous Sales measure, the YTD Sales measure could be evaluated for all the cells where it’s not required, and also when YTD is not selected at all in a Pivot Table. The actual optimization made by the DAX engine could be different in every build, and I expect newer builds of Tabular and Power Pivot to be better than older ones. However, we still don’t live in an ideal world, so it could be better trying to help the engine finding a better execution plan. One student (Niek de Wit) proposed this approach: Selection := IF (     HASONEVALUE ( Period[Period] ),     VALUES ( Period[Period] ) ) Sales := CALCULATE (     [Internet Total Sales],     FILTER (         VALUES ( 'Internet Sales'[Order Quantity] ),         'Internet Sales'[Order Quantity]             = IF (                 [Selection] = "Current",                 'Internet Sales'[Order Quantity],                 -1             )     ) )     + CALCULATE (         [MTD Sales],         FILTER (             VALUES ( 'Internet Sales'[Order Quantity] ),             'Internet Sales'[Order Quantity]                 = IF (                     [Selection] = "MTD",                     'Internet Sales'[Order Quantity],                     -1                 )         )     )     + CALCULATE (         [QTD Sales],         FILTER (             VALUES ( 'Internet Sales'[Order Quantity] ),             'Internet Sales'[Order Quantity]                 = IF (                     [Selection] = "QTD",                     'Internet Sales'[Order Quantity],                     -1                 )         )     )     + CALCULATE (         [YTD Sales],         FILTER (             VALUES ( 'Internet Sales'[Order Quantity] ),             'Internet Sales'[Order Quantity]                 = IF (                     [Selection] = "YTD",                     'Internet Sales'[Order Quantity],                     -1                 )         )     ) At first sight, you might think it’s impossible that this approach could be faster. However, if you examine with the profiler what happens, there is a different story. Every original IF’s execution branch is now a separate CALCULATE statement, which applies a filter that does not execute the required measure calculation if the result of the FILTER is empty. I used the ‘Internet Sales’[Order Quantity] column in this example just because in Adventure Works it has only one value (every row has 1): in the real world, you should use a column that has a very low number of distinct values, or use a column that has always the same value for every row (so it will be compressed very well!). Because the value –1 is never used in this column, the IF comparison in the filter discharge all the values iterated in the filter if the selection does not match with the desired value. I hope to have time in the future to write a longer article about this optimization technique, but in the meantime I’ve seen this optimization has been useful in many other implementations. Please write your feedback if you find scenarios (in both Power Pivot and Tabular) where you obtain performance improvements using this technique!

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• PASS Summit 2012: keynote and Mobile BI announcements #sqlpass

  - by Marco Russo (SQLBI)

  Today at PASS Summit 2012 there have been several announcements during the keynote. Moreover, other news have not been highlighted in the keynote but are equally if not more important for the BI community. Let’s start from the big news in the keynote (other details on SQL Server Blog): Hekaton: this is the codename for in-memory OLTP technology that will appear (I suppose) in the next release of the SQL Server relational engine. The improvement in performance and scalability is impressive and it enables new scenarios. I’m curious to see whether it can be used also to improve ETL performance and how it differs from using SSD technology. Updates on Columnstore: In the next major release of SQL Server the columnstore indexes will be updatable and it will be possible to create a clustered index with Columnstore index. This is really a great news for near real-time reporting needs! Polybase: in 2013 it will debut SQL Server 2012 Parallel Data Warehouse (PDW), which will include the Polybase technology. By using Polybase a single T-SQL query will run queries across relational data and Hadoop data. A single query language for both. Sounds really interesting for using BigData in a more integrated way with existing relational databases. And, of course, to load a data warehouse using BigData, which is the ultimate goal that we all BI Pro have, right? SQL Server 2012 SP1: the Service Pack 1 for SQL Server 2012 is available now and it enable the use of PowerPivot for SharePoint and Power View on a SharePoint 2013 installation with Excel 2013. Power View works with Multidimensional cube: the long-awaited feature of being able to use PowerPivot with Multidimensional cubes has been shown by Amir Netz in an amazing demonstration during the keynote. The interesting thing is that the data model behind was based on a many-to-many relationship (something that is not fully supported by Power View with Tabular models). Another interesting aspect is that it is Analysis Services 2012 that supports DAX queries run on a Multidimensional model, enabling the use of any future tool generating DAX queries on top of a Multidimensional model. There are still no info about availability by now, but this is *not* included in SQL Server 2012 SP1. So what about Mobile BI? Well, even if not announced during the keynote, there is a dedicated session on this topic and there are very important news in this area: iOS, Android and Microsoft mobile platforms: the commitment is to get data exploration and visualization capabilities working within June 2013. This should impact at least Power View and SharePoint/Excel Services. This is the type of UI experience we are all waiting for, in order to satisfy the requests coming from users and customers. The important news here is that native applications will be available for both iOS and Windows 8 so it seems that Android will be supported initially only through the web. Unfortunately we haven’t seen any demo, so it’s not clear what will be the offline navigation experience (and whether there will be one). But at least we know that Microsoft is working on native applications in this area. I’m not too surprised that HTML5 is not the magic bullet for all the platforms. The next PASS Business Analytics conference in 2013 seems a good place to see this in action, even if I hope we don’t have to wait other six months before seeing some demo of native BI applications on mobile platforms! Viewing Reporting Services reports on iPad is supported starting with SQL Server 2012 SP1, which has been released today. This is another good reason to install SP1 on SQL Server 2012. If you are at PASS Summit 2012, come and join me, Alberto Ferrari and Chris Webb at our book signing event tomorrow, Thursday 8 2012, at the bookstore between 12:00pm and 12:30pm, or follow one of our sessions!

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• Understanding #DAX Query Plans for #powerpivot and #tabular

  - by Marco Russo (SQLBI)

  Alberto Ferrari wrote a very interesting white paper about DAX query plans. We published it on a page where we'll gather articles and tools about DAX query plans: http://www.sqlbi.com/topics/query-plans/I reviewed the paper and this is the result of many months of study - we know that we just scratched the surface of this topic, also because we still don't have enough information about internal behavior of many of the operators contained in a query plan. However, by reading the paper you will start reading a query plan and you will understand how it works the optimization found by Chris Webb one month ago to the events-in-progress scenario. The white paper also contains a more optimized query (10 time faster), even if the performance depends on data distribution and the best choice really depends on the data you have. Now you should be curious enough to read the paper until the end, because the more optimized query is the last example in the paper!

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• SSAS deployment error: Internal error: Invalid enumeration value. Please call customer support! is not a valid value for this element.

  - by Kevin Shyr

  The first search on this error yielded some blog posts that says to check SQL server version.  It suggested that I couldn't deploy a SSAS project originally set for SSAS 2008 to a SSAS 2008 R2, which didn't make sense to me.  Combined with the fact that the error message was telling me to call customer support.  Why do I need to call customer support unless something catastrophic happened?Turns out that one of the file on the SQL server is corrupt.  I could simply delete the database on the SSAS server and re-run deployment.  Problem solved.SSAS errors in visual studio: Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Error      10           Internal error: Invalid enumeration value. Please call customer support! is not a valid value for this element.                                0              0              Error      11           An error occurred while parsing the 'StorageMode' element at line 1, column 10523 ('http://schemas.microsoft.com/analysisservices/2003/engine' namespace) under Load/ObjectDefinition/Dimension/StorageMode.                            0              0              Error      12           Errors in the metadata manager. An error occurred when instantiating a metadata object from the file, '\\?\E:\Program Files\Microsoft SQL Server\MSAS10_50.MSSQLSERVER\OLAP\Data\DWH Sales Facts.0.db\Competitor.48.dim.xml'.                        0              0

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• What is the difference between cubes and the Unified Dimensional Model (if any)?

  - by ngm

  I'm currently researching SQL Server 2008 as a business intelligence solution, and currently looking at Analysis Services (and I'm pretty new to business intelligence as a whole...) I'm a bit confused by some of the terms in SSAS, particularly the conceptual differences between cubes and MS's Unified Dimensional Model. I believe that a cube in SSAS is basically an OLAP cube -- dimensions, measures, something that sits between the underlying data source and a business user. But then that's kind of what I understand UDM to be as well. The docs for SQL Server 2005 seem to suggest as much: "A cube is essentially synonymous with a Unified Dimensional Model (UDM)". But then the SQL Server 2008 pages sort of suggest that UDM is a wrapper for both multidimensional data (cubes) and relational data: "Use the Unified Dimensional Model to provide one consolidated business view for relational and multidimensional data that includes business entities, business logic, calculations, and metrics." This blog post suggests similarly: "UDM provides a single dimensional model for all OLAP analysis and relational reporting needs. So you can use either MDX or SQL" Is UDM something that sits above cubes? Or are they the same thing? I presume I would develop cubes with the Cube Designer application; what would I develop a UDM with?

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• Obtaining Current Fiscal Year from Hierarchy with MDX

  - by Robert Iver

  I'm building a report in Reporting Services 2005 based on a SSAS 2005 cube. The basic idea of the report is that they want to see sales for this fiscal year to date vs. last year sales year to date. It sounds simple, but being that this is my first "real" report based on SSAS, I'm having a hell of a time. First, how would one calculate the current fiscal year, quarter, or month. I have a Fiscal Date Hierarchy with all that information in it, but I can't figure out how to say: "Based on today's date, find the current fiscal year, quarter, and month." My second, but slightly smaller problem, is getting last years sales vs. this years sales. I have seen MANY examples on how to do this, but they all assume that you select the date manually. Since this is a report and will run pretty much on it's own, I need a way to insert the "current" fiscal year, quarter, and month into the PERIODSTODATE or PARALLELPERIOD functions to get what I want. So, I'm begging for your help on this one. I have to have this report done by tomorrow monring and I'm beginning to freak out a bit. Thanks in advance.

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• New site – and a special offer

  - by Red Gate Software BI Tools Team

  SSAS Compare has a brand new website! The old page was thrown together in the way that most Red Gate labs sites tend to be — as experimental sites for experimental products. We’ve been developing SSAS Compare for a while now, so we decided it was time for something a bit prettier. The new site is mostly the work of Andrew, our marketing manager, who has all sorts of opinions about websites. One of the opinions Andrew has is that his photo should be on every site on the internet, or at least every Red Gate site on the internet, and that’s why his handsome visage now appears on the SSAS Compare page. Well, that isn’t quite true. According to Andrew, people download more software when they have photos of human beings to look at. We want as many people to try SSAS Compare as possible, so we got the team together for an intimate photoshoot directed by Red Gate’s resident recorder of light, Dom Reed (aka Mr Flibble). The photo will appear on the site as soon as Dom is finished photoshopping us into something more palatable, which is a big job. Until then, you’ll have to put up with Andrew. We’ve also used the new site to announce a special offer. Right now, SSAS Compare is still a free beta, but by signing up to our Early Access Program, you’ll get a 20% discount when we release SSAS Compare as a fully-fledged product. We’ll use your email address to send you news and updates about business intelligence tools from Red Gate (and nothing else). If that sounds good to you, go to the SSAS Compare site to sign up. By the way, the BI Tools team wasn’t the only thing Dom photographed last week. Remember Noemi’s blog about the flamenco dance? We’ll be at SQL Saturday in our home town of Cambridge this Saturday (8th September), handing out flyers of a distinctly Mediterranean flavour. If you’re attending, be sure to say hello!

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• changing default hierarchy of Cube dimension

  - by paranjai

  Hi , I have created Dealer dimension in SSAS 2005 and it has 3 hierarchies. By default the hierarchy created first is the default hierarchy of the dimension. Is there any way to change the default hierarchy to another hierarchy.

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• Best Practise to populate Fact and Dimension Tables from Transactional Flat DB

  - by alex25

  Hi! I want to populate a star schema / cube in SSIS / SSAS. I prepared all my dimension tables and my fact table, primary keys etc. The source is a 'flat' (item level) table and my problem is now how to split it up and get it from one into the respective tables. I did a fair bit of googling but couldn't find a satisfying solution to the problem. One would imagine that this is a rather common problem/situation in BI development?! Thanks, alexl

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• MDX - how to filter on children of nextmember

  - by Raj

  I have a user defined hierarchy in SSAS as follows: Calendar Year Month Of Year I want to create following named set in BIDS. Set1 should include "Month of Year" values of 1-9 for current Calendar Year Set2 should include "Month of Year" values of 10-12 for current Calendar Year Set3 shoud include "Month of Year" values of 1-3 for next Calendar Year Set4 shoud include "Month of Year" values of 4-6 for next Calendar Year The "current calendar year" will come through a join with another dimension though a fact table. I would appreciate help with MDX. And, can I use CurrentMember in the named sets?

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