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  • SSIS code smell – Unused columns in the dataflow

    - by jamiet
    A code smell is defined on Wikipedia as being a “symptom in the source code of a program that possibly indicates a deeper problem”. It’s a term commonly used by our code-writing brethren to describe sub-optimal code but I think the term can be applied equally well to SSIS packages too as I shall now explain One of my pet hates about SSIS development is packages that throw warnings of the form: The output column "ColumnName" (1358) on output "OLE DB Source Output" (1289) and component "OLE_SRC Name" (1279) is not subsequently used in the Data Flow task. Removing this unused output column can increase Data Flow task performance.  The warning is fairly self-explanatory – any column that appears in the data flow but doesn’t get used will throw this warning when the data flow is executed. Its not the negligible performance degradation that they cause that bothers me though, it’s the clutter that they cause in your log file/table. Take a look at the following screenshot if you don’t believe me: There are 231409 such warnings in the system that I took this screenshot from, that is 231409 log records that should not be there. The most infuriating thing about this warning is that it is so easily avoidable; eliminating such columns is a very quick and easy thing to do in the SSIS Designer. The only problem I see is that the warnings don’t occur until you execute the package – it would be preferable for the designer to have an unobtrusive way of informing you of them as well. Anyway, I digress… I consider such warnings to be a code smell because, to me, they’re symptomatic of a lack of due care and attention; a lack of developer discipline if you will. What other code smells can you think of when building SSIS packages? If I get a good list in the comments maybe I’ll compile them into a later blog post. @Jamiet Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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  • Creating an ASP.NET report using Visual Studio 2010 - Part 1

    - by rajbk
    This tutorial walks you through creating an report based on the Northwind sample database. You will add a client report definition file (RDLC), create a dataset for the RDLC, define queries using LINQ to Entities, design the report and add a ReportViewer web control to render the report in a ASP.NET web page. The report will have a chart control. Different results will be generated by changing filter criteria. At the end of the walkthrough, you should have a UI like the following.  From the UI below, a user is able to view the product list and can see a chart with the sum of Unit price for a given category. They can filter by Category and Supplier. The drop downs will auto post back when the selection is changed.  This demo uses Visual Studio 2010 RTM. This post is split into three parts. The last part has the sample code attached. Creating an ASP.NET report using Visual Studio 2010 - Part 2 Creating an ASP.NET report using Visual Studio 2010 - Part 3   Lets start by creating a new ASP.NET empty web application called “NorthwindReports” Creating the Data Access Layer (DAL) Add a web form called index.aspx to the root directory. You do this by right clicking on the NorthwindReports web project and selecting “Add item..” . Create a folder called “DAL”. We will store all our data access methods and any data transfer objects in here.   Right click on the DAL folder and add a ADO.NET Entity data model called Northwind. Select “Generate from database” and click Next. Create a connection to your database containing the Northwind sample database and click Next.   From the table list, select Categories, Products and Suppliers and click next. Our Entity data model gets created and looks like this:    Adding data transfer objects Right click on the DAL folder and add a ProductViewModel. Add the following code. This class contains properties we need to render our report. public class ProductViewModel { public int? ProductID { get; set; } public string ProductName { get; set; } public System.Nullable<decimal> UnitPrice { get; set; } public string CategoryName { get; set; } public int? CategoryID { get; set; } public int? SupplierID { get; set; } public bool Discontinued { get; set; } } Add a SupplierViewModel class. This will be used to render the supplier DropDownlist. public class SupplierViewModel { public string CompanyName { get; set; } public int SupplierID { get; set; } } Add a CategoryViewModel class. public class CategoryViewModel { public string CategoryName { get; set; } public int CategoryID { get; set; } } Create an IProductRepository interface. This will contain the signatures of all the methods we need when accessing the entity model.  This step is not needed but follows the repository pattern. interface IProductRepository { IQueryable<Product> GetProducts(); IQueryable<ProductViewModel> GetProductsProjected(int? supplierID, int? categoryID); IQueryable<SupplierViewModel> GetSuppliers(); IQueryable<CategoryViewModel> GetCategories(); } Create a ProductRepository class that implements the IProductReposity above. The methods available in this class are as follows: GetProducts – returns an IQueryable of all products. GetProductsProjected – returns an IQueryable of ProductViewModel. The method filters all the products based on SupplierId and CategoryId if any. It then projects the result into the ProductViewModel. GetSuppliers() – returns an IQueryable of all suppliers projected into a SupplierViewModel GetCategories() – returns an IQueryable of all categories projected into a CategoryViewModel  public class ProductRepository : IProductRepository { /// <summary> /// IQueryable of all Products /// </summary> /// <returns></returns> public IQueryable<Product> GetProducts() { var dataContext = new NorthwindEntities(); var products = from p in dataContext.Products select p; return products; }   /// <summary> /// IQueryable of Projects projected /// into the ProductViewModel class /// </summary> /// <returns></returns> public IQueryable<ProductViewModel> GetProductsProjected(int? supplierID, int? categoryID) { var projectedProducts = from p in GetProducts() select new ProductViewModel { ProductID = p.ProductID, ProductName = p.ProductName, UnitPrice = p.UnitPrice, CategoryName = p.Category.CategoryName, CategoryID = p.CategoryID, SupplierID = p.SupplierID, Discontinued = p.Discontinued }; // Filter on SupplierID if (supplierID.HasValue) { projectedProducts = projectedProducts.Where(a => a.SupplierID == supplierID); }   // Filter on CategoryID if (categoryID.HasValue) { projectedProducts = projectedProducts.Where(a => a.CategoryID == categoryID); }   return projectedProducts; }     public IQueryable<SupplierViewModel> GetSuppliers() { var dataContext = new NorthwindEntities(); var suppliers = from s in dataContext.Suppliers select new SupplierViewModel { SupplierID = s.SupplierID, CompanyName = s.CompanyName }; return suppliers; }   public IQueryable<CategoryViewModel> GetCategories() { var dataContext = new NorthwindEntities(); var categories = from c in dataContext.Categories select new CategoryViewModel { CategoryID = c.CategoryID, CategoryName = c.CategoryName }; return categories; } } Your solution explorer should look like the following. Build your project and make sure you don’t get any errors. In the next part, we will see how to create the client report definition file using the Report Wizard.   Creating an ASP.NET report using Visual Studio 2010 - Part 2

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  • Consolidate Data in Private Clouds, But Consider Security and Regulatory Issues

    - by Troy Kitch
    The January 13 webcast Security and Compliance for Private Cloud Consolidation will provide attendees with an overview of private cloud computing based on Oracle's Maximum Availability Architecture and how security and regulatory compliance affects implementations. Many organizations are taking advantage of Oracle's Maximum Availability Architecture to drive down the cost of IT by deploying private cloud computing environments that can support downtime and utilization spikes without idle redundancy. With two-thirds of sensitive and regulated data in organizations' databases private cloud database consolidation means organizations must be more concerned than ever about protecting their information and addressing new regulatory challenges. Join us for this webcast to learn about greater risks and increased threats to private cloud data and how Oracle Database Security Solutions can assist in securely consolidating data and meet compliance requirements. Register Now.

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  • LLBLGen Pro v3.0 has been released!

    - by FransBouma
    After two years of hard work we released v3.0 of LLBLGen Pro today! V3.0 comes with a completely new designer which has been developed from the ground up for .NET 3.5 and higher. Below I'll briefly mention some highlights of this new release: Entity Framework (v1 & v4) support NHibernate support (hbm.xml mappings & FluentNHibernate mappings) Linq to SQL support Allows both Model first and Database first development, or a mixture of both .NET 4.0 support Model views Grouping of project elements Linq-based project search Value Type (DDD) support Multiple Database types in single project XML based project file Integrated template editor Relational Model Data management Flexible attribute declaration for code generation, no more buddy classes needed Fine-grained project validation Update / Create DDL SQL scripts Fast Text-DSL based Quick mode Powerful text-DSL based Quick Model functionality Per target framework extensible settings framework much much more... Of course we still support our own O/R mapper framework: LLBLGen Pro v3.0 Runtime framework as well, which was updated with some minor features and was upgraded to use the DbProviderFactory system. Please watch the videos of the designer (more to come very soon!) to see some aspects of the new designer in action. The full version comes with Algorithmia in sourcecode as well. Algorithmia is an algorithm library written for .NET 3.5 which powers the heart of the designer with a fine-grained undo/redo command framework, graph classes and much more. I'd like to thank all beta-testers, our support team and others who have helped us with this massive release. :)

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  • Merge Join component sorted outputs [SSIS]

    - by jamiet
    One question that I have been asked a few times of late in regard to performance tuning SSIS data flows is this: Why isn’t the Merge Join output sorted (i.e.IsSorted=True)? This is a fair question. After all both of the Merge Join inputs are sorted, hence why wouldn’t the output be sorted as well? Well here’s a little secret, the Merge Join output IS sorted! There’s a caveat though – it is only under certain circumstances and SSIS itself doesn’t do a good job of informing you of it. Let’s take a look at an example. Here we have a dataflow that consumes data from the [AdventureWorks2008].[Sales].[SalesOrderHeader] & [AdventureWorks2008].[Sales].[SalesOrderDetail] tables then joins them using a Merge Join component: Let’s take a look inside the editor of the Merge Join: We are joining on the [SalesOrderId] field (which is what the two inputs just happen to be sorted upon). We are also putting [SalesOrderHeader].[SalesOrderId] into the output. Believe it or not the output from this Merge Join component is sorted (i.e. has IsSorted=True) but unfortunately the Merge Join component does not have an Advanced Editor hence it is hidden away from us. There are a couple of ways to prove to you that is the case; I could open up the package XML inside the .dtsx file and show you the metadata but there is an easier way than that – I can attach a Sort component to the output. Take a look: Notice that the Sort component is attempting to sort on the [SalesOrderId] column. This gives us the following warning: Validation warning. DFT Get raw data: {992B7C9A-35AD-47B9-A0B0-637F7DDF93EB}: The data is already sorted as specified so the transform can be removed. The warning proves that the output from the Merge Join is sorted! It must be noted that the Merge Join output will only have IsSorted=True if at least one of the join columns is included in the output. So there you go, the Merge Join component can indeed produce a sorted output and that’s very useful in order to avoid unnecessary expensive Sort operations downstream. Hope this is useful to someone out there! @Jamiet  P.S. Thank you to Bob Bojanic on the SSIS product team who pointed this out to me!

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  • Calculating estimated data loss with Always on

    - by blakmk
    Ever wondered how calculate estimated data loss (time) for always on. The metric in the always on dashboard shows the metric quite nicely but there does seem to be a lack of documentation about where the metrics ---come from. Heres a script that calculates the data loss ( lag ) so you can set up alerts based on your DR SLA's:       WITH DR_CTE ( replica_server_name, database_name, last_commit_time) AS                 (                                 select ar.replica_server_name, database_name, rs.last_commit_time                                 from master.sys.dm_hadr_database_replica_states  rs                                 inner join master.sys.availability_replicas ar on rs.replica_id = ar.replica_id                                 inner join sys.dm_hadr_database_replica_cluster_states dcs on dcs.group_database_id = rs.group_database_id and rs.replica_id = dcs.replica_id                                 where replica_server_name != @@servername                 ) select ar.replica_server_name, dcs.database_name, rs.last_commit_time, DR_CTE.last_commit_time 'DR_commit_time', datediff(ss,  DR_CTE.last_commit_time, rs.last_commit_time) 'lag_in_seconds' from master.sys.dm_hadr_database_replica_states  rs inner join master.sys.availability_replicas ar on rs.replica_id = ar.replica_id inner join sys.dm_hadr_database_replica_cluster_states dcs on dcs.group_database_id = rs.group_database_id and rs.replica_id = dcs.replica_id inner join DR_CTE on DR_CTE.database_name = dcs.database_name where ar.replica_server_name = @@servername order by lag_in_seconds desc

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  • FileNameColumnName property, Flat File Source Adapter : SSIS Nugget

    - by jamiet
    I saw a question on MSDN’s SSIS forum the other day that went something like this: I’m loading data into a table from a flat file but I want to be able to store the name of that file as well. Is there a way of doing that? I don’t want to come across as disrespecting those who took the time to reply but there was a few answers along the lines of “loop over the files using a For Each, store the file name in a variable yadda yadda yadda” when in fact there is a much much simpler way of accomplishing this; it just happens to be a little hidden away as I shall now explain! The Flat File Source Adapter has a property called FileNameColumnName which for some reason it isn’t exposed through the Flat File Source editor, it is however exposed via the Advanced Properties: You’ll see in the screenshot above that I have set FileNameColumnName=“Filename” (it doesn’t matter what name you use, anything except a non-zero string will work). What this will do is create a new column in our dataflow called “Filename” that contains, unsurprisingly, the name of the file from which the row was sourced. All very simple. This is particularly useful if you are extracting data from multiple files using the MultiFlatFile Connection Manager as it allows you to differentiate between data from each of the files as you can see in the following screenshot: So there you have it, the FileNameColumnName property; a little known secret of SSIS. I hope it proves to be useful to someone out there. @Jamiet Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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  • Faceted search with Solr on Windows

    - by Dr.NETjes
    With over 10 million hits a day, funda.nl is probably the largest ASP.NET website which uses Solr on a Windows platform. While all our data (i.e. real estate properties) is stored in SQL Server, we're using Solr 1.4.1 to return the faceted search results as fast as we can.And yes, Solr is very fast. We did do some heavy stress testing on our Solr service, which allowed us to do over 1,000 req/sec on a single 64-bits Solr instance; and that's including converting search-url's to Solr http-queries and deserializing Solr's result-XML back to .NET objects! Let me tell you about faceted search and how to integrate Solr in a .NET/Windows environment. I'll bet it's easier than you think :-) What is faceted search? Faceted search is the clustering of search results into categories, allowing users to drill into search results. By showing the number of hits for each facet category, users can easily see how many results match that category. If you're still a bit confused, this example from CNET explains it all: The SQL solution for faceted search Our ("pre-Solr") solution for faceted search was done by adding a lot of redundant columns to our SQL tables and doing a COUNT(...) for each of those columns:   So if a user was searching for real estate properties in the city 'Amsterdam', our facet-query would be something like: SELECT COUNT(hasGarden), COUNT(has2Bathrooms), COUNT(has3Bathrooms), COUNT(etc...) FROM Houses WHERE city = 'Amsterdam' While this solution worked fine for a couple of years, it wasn't very easy for developers to add new facets. And also, performing COUNT's on all matched rows only performs well if you have a limited amount of rows in a table (i.e. less than a million). Enter Solr "Solr is an open source enterprise search server based on the Lucene Java search library, with XML/HTTP and JSON APIs, hit highlighting, faceted search, caching, replication, and a web administration interface." (quoted from Wikipedia's page on Solr) Solr isn't a database, it's more like a big index. Every time you upload data to Solr, it will analyze the data and create an inverted index from it (like the index-pages of a book). This way Solr can lookup data very quickly. To explain the inner workings of Solr is beyond the scope of this post, but if you want to learn more, please visit the Solr Wiki pages. Getting faceted search results from Solr is very easy; first let me show you how to send a http-query to Solr:    http://localhost:8983/solr/select?q=city:Amsterdam This will return an XML document containing the search results (in this example only three houses in the city of Amsterdam):    <response>     <result name="response" numFound="3" start="0">         <doc>            <long name="id">3203</long>            <str name="city">Amsterdam</str>            <str name="steet">Keizersgracht</str>            <int name="numberOfBathrooms">2</int>        </doc>         <doc>             <long name="id">3205</long>             <str name="city">Amsterdam</str>             <str name="steet">Vondelstraat</str>             <int name="numberOfBathrooms">3</int>          </doc>          <doc>             <long name="id">4293</long>             <str name="city">Amsterdam</str>             <str name="steet">Wibautstraat</str>             <int name="numberOfBathrooms">2</int>          </doc>       </result>   </response> By adding a facet-querypart for the field "numberOfBathrooms", Solr will return the facets for this particular field. We will see that there's one house in Amsterdam with three bathrooms and two houses with two bathrooms.    http://localhost:8983/solr/select?q=city:Amsterdam&facet=true&facet.field=numberOfBathrooms The complete XML response from Solr now looks like:    <response>      <result name="response" numFound="3" start="0">         <doc>            <long name="id">3203</long>            <str name="city">Amsterdam</str>            <str name="steet">Keizersgracht</str>            <int name="numberOfBathrooms">2</int>         </doc>         <doc>            <long name="id">3205</long>            <str name="city">Amsterdam</str>            <str name="steet">Vondelstraat</str>            <int name="numberOfBathrooms">3</int>         </doc>         <doc>            <long name="id">4293</long>            <str name="city">Amsterdam</str>            <str name="steet">Wibautstraat</str>            <int name="numberOfBathrooms">2</int>         </doc>      </result>      <lst name="facet_fields">         <lst name="numberOfBathrooms">            <int name="2">2</int>            <int name="3">1</int>         </lst>      </lst>   </response> Trying Solr for yourself To run Solr on your local machine and experiment with it, you should read the Solr tutorial. This tutorial really only takes 1 hour, in which you install Solr, upload sample data and get some query results. And yes, it works on Windows without a problem. Note that in the Solr tutorial, you're using Jetty as a Java Servlet Container (that's why you must start it using "java -jar start.jar"). In our environment we prefer to use Apache Tomcat to host Solr, which installs like a Windows service and works more like .NET developers expect. See the SolrTomcat page.Some best practices for running Solr on Windows: Use the 64-bits version of Tomcat. In our tests, this doubled the req/sec we were able to handle!Use a .NET XmlReader to convert Solr's XML output-stream to .NET objects. Don't use XPath; it won't scale well.Use filter queries ("fq" parameter) instead of the normal "q" parameter where possible. Filter queries are cached by Solr and will speed up Solr's response time (see FilterQueryGuidance)In my next post I’ll talk about how to keep Solr's indexed data in sync with the data in your SQL tables. Timestamps / rowversions will help you out here!

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  • Dynamic Unpivot : SSIS Nugget

    - by jamiet
    A question on the SSIS forum earlier today asked: I need to dynamically unpivot some set of columns in my source file. Every month there is one new column and its set of Values. I want to unpivot it without editing my SSIS packages that is deployed Let’s be clear about what we mean by Unpivot. It is a normalisation technique that basically converts columns into rows. By way of example it converts something like this: AccountCode Jan Feb Mar AC1 100.00 150.00 125.00 AC2 45.00 75.50 90.00 into something like this: AccountCode Month Amount AC1 Jan 100.00 AC1 Feb 150.00 AC1 Mar 125.00 AC2 Jan 45.00 AC2 Feb 75.50 AC2 Mar 90.00 The Unpivot transformation in SSIS is perfectly capable of carrying out the operation defined in this example however in the case outlined in the aforementioned forum thread the problem was a little bit different. I interpreted it to mean that the number of columns could change and in that scenario the Unpivot transformation (and indeed the SSIS dataflow in general) is rendered useless because it expects that the number of columns will not change from what is specified at design-time. There is a workaround however. Assuming all of the columns that CAN exist will appear at the end of the rows, we can (1) import all of the columns in the file as just a single column, (2) use a script component to loop over all the values in that “column” and (3) output each one as a column all of its own. Let’s go over that in a bit more detail.   I’ve prepared a data file that shows some data that we want to unpivot which shows some customers and their mythical shopping lists (it has column names in the first row): We use a Flat File Connection Manager to specify the format of our data file to SSIS: and a Flat File Source Adapter to put it into the dataflow (no need a for a screenshot of that one – its very basic). Notice that the values that we want to unpivot all exist in a column called [Groceries]. Now onto the script component where the real work goes on, although the code is pretty simple: Here I show a screenshot of this executing along with some data viewers. As you can see we have successfully pulled out all of the values into a row all of their own thus accomplishing the Dynamic Unpivot that the forum poster was after. If you want to run the demo for yourself then I have uploaded the demo package and source file up to my SkyDrive: http://cid-550f681dad532637.skydrive.live.com/self.aspx/Public/BlogShare/20100529/Dynamic%20Unpivot.zip Simply extract the two files into a folder, make sure the Connection Manager is pointing to the file, and execute! Hope this is useful. @Jamiet Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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  • Document, Document, Document

    - by AllenMWhite
    A while back I blogged about using Checklists , but there's another task you want to incorporate into your workflow - documentation. Now, I'm not just talking about documenting the logic, system flow and data and structure changes, I'm also talking about documenting your daily activities (commonly referred to as a journal.) It's amazing how useful a private journal can be when you need to revisit the thought process you went through to develop the processes you're implementing. I'm also talking about...(read more)

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  • How to: Check which table is the biggest, in SQL Server

    - by AngelEyes
    The company I work with had it's DB double its size lately, so I needed to find out which tables were the biggest. I found this on the web, and decided it's worth remembering! Taken from http://www.sqlteam.com/article/finding-the-biggest-tables-in-a-database, the code is from http://www.sqlteam.com/downloads/BigTables.sql   /************************************************************************************** * *  BigTables.sql *  Bill Graziano (SQLTeam.com) *  [email protected] *  v1.1 * **************************************************************************************/ DECLARE @id INT DECLARE @type CHARACTER(2) DECLARE @pages INT DECLARE @dbname SYSNAME DECLARE @dbsize DEC(15, 0) DECLARE @bytesperpage DEC(15, 0) DECLARE @pagesperMB DEC(15, 0) CREATE TABLE #spt_space   (      objid    INT NULL,      ROWS     INT NULL,      reserved DEC(15) NULL,      data     DEC(15) NULL,      indexp   DEC(15) NULL,      unused   DEC(15) NULL   ) SET nocount ON -- Create a cursor to loop through the user tables DECLARE c_tables CURSOR FOR   SELECT id   FROM   sysobjects   WHERE  xtype = 'U' OPEN c_tables FETCH NEXT FROM c_tables INTO @id WHILE @@FETCH_STATUS = 0   BEGIN       /* Code from sp_spaceused */       INSERT INTO #spt_space                   (objid,                    reserved)       SELECT objid = @id,              SUM(reserved)       FROM   sysindexes       WHERE  indid IN ( 0, 1, 255 )              AND id = @id       SELECT @pages = SUM(dpages)       FROM   sysindexes       WHERE  indid < 2              AND id = @id       SELECT @pages = @pages + Isnull(SUM(used), 0)       FROM   sysindexes       WHERE  indid = 255              AND id = @id       UPDATE #spt_space       SET    data = @pages       WHERE  objid = @id       /* index: sum(used) where indid in (0, 1, 255) - data */       UPDATE #spt_space       SET    indexp = (SELECT SUM(used)                        FROM   sysindexes                        WHERE  indid IN ( 0, 1, 255 )                               AND id = @id) - data       WHERE  objid = @id       /* unused: sum(reserved) - sum(used) where indid in (0, 1, 255) */       UPDATE #spt_space       SET    unused = reserved - (SELECT SUM(used)                                   FROM   sysindexes                                   WHERE  indid IN ( 0, 1, 255 )                                          AND id = @id)       WHERE  objid = @id       UPDATE #spt_space       SET    ROWS = i.ROWS       FROM   sysindexes i       WHERE  i.indid < 2              AND i.id = @id              AND objid = @id       FETCH NEXT FROM c_tables INTO @id   END SELECT TOP 25 table_name = (SELECT LEFT(name, 25)                             FROM   sysobjects                             WHERE  id = objid),               ROWS = CONVERT(CHAR(11), ROWS),               reserved_kb = Ltrim(Str(reserved * d.low / 1024., 15, 0) + ' ' + 'KB'),               data_kb = Ltrim(Str(data * d.low / 1024., 15, 0) + ' ' + 'KB'),               index_size_kb = Ltrim(Str(indexp * d.low / 1024., 15, 0) + ' ' + 'KB'),               unused_kb = Ltrim(Str(unused * d.low / 1024., 15, 0) + ' ' + 'KB') FROM   #spt_space,        MASTER.dbo.spt_values d WHERE  d.NUMBER = 1        AND d.TYPE = 'E' ORDER  BY reserved DESC DROP TABLE #spt_space CLOSE c_tables DEALLOCATE c_tables

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  • How to list column headers of a SQL Server table using sp_help perhaps?

    - by Hamish Grubijan
    Hi, I have a few tables with 70-80 columns in them. I would like to populate them with somewhat random data, unless I will not be able to do so due to key violation, etc. The first step would be simply to get the list of all headers. There seem to be two ways: A) Run select * from table_of_interest; in MSFT SQL Server Management Studio 2008. Now, right-click the result and click "Copy With headers". However, I get zero rows back, and when I try to copy nothing + headers, I get: TITLE: Microsoft SQL Server Management Studio ------------------------------ Value cannot be null. Parameter name: data (System.Windows.Forms) ------------------------------ BUTTONS: OK ------------------------------ This looks like a bug ... anyhow ... there is another way. B) I can run sp_help table_of_interest;. However, I end up getting too much back. I get 7 different tables back but I am only interested in the second one. The columns of the second table are: Column_name | Type | Computed | Length | Prec | Scale | Nullable | TrimTrailingBlanks | FixedLenNullInSource | Collation I might be interested in just a Column_name and Type, but maybe other columns. So ... since sp_help probably runs a bunch of queries ... how do I get under the hood? How can I run the second query AND filter down the number of columns that I am interested in? Many Thanks!

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  • How I use schemas.

    - by Alexander Kuznetsov
    I use schemas to simplify granting permissions. For tables and views, I have three schemas: Data, the actual data my customers need. Can only be modified via sprocs. Staging, only visible to data loaders and devs. Full privileges on INSERT?UPDATE/DELETE for those who see it. Config, the configuration data used in loads, only visible to data loaders and devs. Can only be modified via sprocs. For sprocs/UDFs I have the following schemas: Readers Writers ETL ConfigReaders ConfigWriters Also I have dbo...(read more)

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  • FileNameColumnName property, Flat File Source Adapter : SSIS Nugget

    - by jamiet
    I saw a question on MSDN’s SSIS forum the other day that went something like this: I’m loading data into a table from a flat file but I want to be able to store the name of that file as well. Is there a way of doing that? I don’t want to come across as disrespecting those who took the time to reply but there was a few answers along the lines of “loop over the files using a For Each, store the file name in a variable yadda yadda yadda” when in fact there is a much much simpler way of accomplishing this; it just happens to be a little hidden away as I shall now explain! The Flat File Source Adapter has a property called FileNameColumnName which for some reason it isn’t exposed through the Flat File Source editor, it is however exposed via the Advanced Properties: You’ll see in the screenshot above that I have set FileNameColumnName=“Filename” (it doesn’t matter what name you use, anything except a non-zero string will work). What this will do is create a new column in our dataflow called “Filename” that contains, unsurprisingly, the name of the file from which the row was sourced. All very simple. This is particularly useful if you are extracting data from multiple files using the MultiFlatFile Connection Manager as it allows you to differentiate between data from each of the files as you can see in the following screenshot: So there you have it, the FileNameColumnName property; a little known secret of SSIS. I hope it proves to be useful to someone out there. @Jamiet Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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  • Windows and SQL Azure Best Practices: Affinity Groups

    - by BuckWoody
    When you create a Windows Azure application, you’ll pick a subscription to put it under. This is a billing container - underneath that, you’ll deploy a Hosted Service. That holds the Web and Worker Roles that you’ll deploy for your applications. along side that, you use the Storage Account to create storage for the application. (In some cases, you might choose to use only storage or Roles - the info here applies anyway) As you are setting up your environment, you’re asked to pick a “region” where your application will run. If you choose a Region, you’ll be asked where to put the Roles. You’re given choices like Asia, North America and so on. This is where the hardware that physically runs your code lives. We have lots of fault domains, power considerations and so on to keep that set of datacenters running, but keep in mind that this is where the application lives. You also get this selection for Storage Accounts. When you make new storage, it’s a best practice to put it where your computing is. This makes the shortest path from the code to the data, and then back out to the user. One of the selections for the location is “Anywhere U.S.”. This selection might be interpreted to mean that we will bias towards keeping the data and the code together, but that may not be the case. There is a specific abstraction we created for just that purpose: Affinity Groups. An Affinity Group is simply a name you can use to tie together resources. You can do this in two places - when you’re creating the Hosted Service (shown above) and on it’s own tree item on the left, called “Affinity Groups”. When you select either of those actions, You’re presented with a dialog box that allows you to specify a name, and then the Region that  names ties the resources to. Now you can select that Affinity Group just as if it were a Region, and your code and data will stay together. That helps with keeping the performance high. Official Documentation: http://msdn.microsoft.com/en-us/library/windowsazure/hh531560.aspx

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  • Mapping Your Data with Bing Maps and SQL Server 2008 – Part 1

    Jonas Stawski takes you step by step through a sample project that demonstrates how to create an application that can get GeoSpatial coordinate data for addresses within a SQL Server database, and then use that data to locate those addresses on a Bing Map on a website as pushpins, either grouped or ungrouped: And there is full source-code too, in the speech-bubble.

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  • Getting It Right The First Time

    - by andyleonard
    Introduction This post is the seventeenth part of a ramble-rant about the software business. The current posts in this series are: Goodwill, Negative and Positive Visions, Quests, Missions Right, Wrong, and Style Follow Me Balance, Part 1 Balance, Part 2 Definition of a Great Team The 15-Minute Meeting Metaproblems: Drama The Right Question Software is Organic, Part 1 Metaproblem: Terror I Don't Work On My Car A Turning Point Human Doings Everything Changes This post is about getting software right...(read more)

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  • The penultimate audit trigger framework

    - by Piotr Rodak
    So, it’s time to see what I came up with after some time of playing with COLUMNS_UPDATED() and bitmasks. The first part of this miniseries describes the mechanics of the encoding which columns are updated within DML operation. The task I was faced with was to prepare an audit framework that will be fairly easy to use. The audited tables were to be the ones directly modified by user applications, not the ones heavily used by batch or ETL processes. The framework consists of several tables and procedures...(read more)

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  • Introducing SQLPeople - the Blog Series!

    - by andyleonard
    Introduction The first 50.5 weeks of 2010 have been interesting, to say the least. My experiences in 2010 can best be summed up in a single word: educational. I've learned a lot this year! One important thread wove its way through my 2010 experiences... Relationships Are Everything How we interact defines community. Relationships define community. Our community is more than the sum of our members. Trust and respect are the capital of community. And just like money, this capital can be invested, exchanged,...(read more)

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  • Cuppa Corner talk "A trip to First Normal Form" available - Domains, Functional Dependencies, Repeat

    - by tonyrogerson
    It's 15 minutes, I talk about Domains, Functional Dependencies, Repeating Groups, Relational Valued Attributes and of course First Normal Form. http://sqlcontent.sqlblogcasts.com/video/cctr20100507dbdesign1nf/cctr20100507dbdesign1nf.html For questions just ask on the http://sqlserverfaq.com chat control or Twitter using #sqlfaq tag. Slides are also availble here: http://sqlcontent.sqlblogcasts.com/video/cctr20100507dbdesign1nf/cc_tr20100507_dbdesign1nf.pptx...(read more)

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  • Do you need all that data?

    - by BuckWoody
    I read an amazing post over on ars technica (link: http://arstechnica.com/science/news/2010/03/the-software-brains-behind-the-particle-colliders.ars?utm_source=rss&utm_medium=rss&utm_campaign=rss) abvout the LHC, or as they are also known, the "particle colliders". Beyond just the pure scientific geek awesomeness, these instruments have the potential to collect more data than you can (or possibly should) store. Actually, this problem has a lot in common with a BI system. There's so much granular detail available in the source systems that a designer has to decide how, and how much, to roll up the data. Whenver you do that, you lose fidelity, but in many cases that's OK. Take, for example, your car's speedometer. You don't actually need to track each and every point of speed as it happens. You only need to know that you're hovering around the speed limit at a certain point in time. Since this is the way that humans percieve data, is there some lesson we should take in the design of data "flows" - and what implications does this have for new technologies like StreamInsight? Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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  • Service Broker Solutions - Don't Forget the Basics

    - by AllenMWhite
    After finally getting a Service Broker solution implemented successfully, I'm really impressed with the technology, and frustrated how difficult it can be to implement and get it really working as expected. First, understand the technology. There are some great resources out there to help you get started. The first place to go is Klaus Aschenbrenner's book, the one that Greg Low reviewed this past week. It's an amazing resource and played a large part in my success. (I bought it for my Kindle, and...(read more)

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