Adventureworks sample database launched with SQL Server 2012 and you can download it from the codeplex. Given below are the links:. After downloading the appropriate data files lets proceed with the installation: Installation via T-SQL: Step 1: You should copy the data file to any appropriate location but it should not be in the root directory due to the security issue. If you do so, it generates error. Step 2: Once you download the file, you will notice that it has only data file and not log file. So, we need to write the script given below to create the database and in order to build a new log file, we need to use ATTACHREBUILDLOG.
Create Database AdventureWorks2012 On (FILENAME= N'C: Program Files Microsoft SQL Server MSSQL11.MSSQLSERVER MSSQL DATA AdventureWorks2012Data.mdf') For ATTACHREBUILDLOG GO For testing purpose lets put it in the root directory: Create Database AdventureWorks2012 On (FILENAME= N'C: AdventureWorks2012Data.mdf') For ATTACHREBUILDLOG GO It generates an error: File activation failure. The physical file name “C: Program Files Microsoft SQL Server MSSQL11.MSSQLSERVER MSSQL DATA AdventureWorks2012Log.ldf” may be incorrect. Msg 5123, Level 16, State 1, Line 1 CREATE FILE encountered operating system error 5(Access is denied.) while attempting to open or create the physical file ‘C: AdventureWorks2012log.ldf’. Msg 1813, Level 16, State 2, Line 1 Could not open new database ‘AdventureWorks2012’. CREATE DATABASE is aborted.
Installation via SSMS: Step 1: Should be same as above. Step 2: Right click on the databases and click on Attach. After that click on Add button and browse the file (AdventureWorks2012Data).
After that, if you press OK button, it will reflect error as given below. So, you need to select the file name (AdventureWorks2012log.ldf) having file type “log” and message “Not Found” and press the Remove button. After that press OK to finish the installation. Now, you can see the “AdventureWorks2012” database in SSMS.
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One of the first things I did when I began my journey with SQL Server was installing a sample database. Though it seems to be very simple now, but not really when I just started leaning database. So, this post will be helpful for friends wanting to start their career in SQL Server or as a junior DBA. Even though there exists quite a few sample databases like AdventureWorks, Northwind, Pubs.etc, in this post I will focuss only on AdventureWorks, since starting SQL Server 2008, Microsoft discontinued support for the Northwind and pubs sample databases. Moreover, AdventureWorks is the Microsoft’s official sample database for later versions of SQL Server.
Where to look for downloading SQL Server sample databases Microsoft’s is the start to download official sample databases. Browse to and look/search for your desired sample database OR alternatively you can directly navigate to for AdventureWorks sample database. How to find the “right” AdventureWorks sample database If you are a newbie, this can be really confusing. There are sample databases for different environments and various versions. You can chose a download based on:. Version (2012, 2008R2, 2008).
Environment (OLTP, DW, Azure). Full or LT (LT-Light version is a simplified and smaller sample database) Below are the direct download links from.
You can either download a zip file (recommended for beginners) or Data file by selecting the “right” link below. Click on your choice of AdventureWorks and save the download. OLTP Environment – Zip file (contains both data and log files) OLTP Environment – Data Files (contains only data file) DW Environment – Data Files (contains only data file) Azure Environment Zip file (contains both data and log files) 3.
How to attach the AdventureWorks sample database This varies a little depending on your download file type. If you have either downloaded. Zip file (contains both data and log file) OR.
Data file (contains only data file) I have seen people having issues due to the download type. So, I will cover both here. On Mulumebet Maruf I attached North Wind Database (which is the 2005 version of Adventure Works) to my SQL Server 2012 machine, I see the database in my 2012 instance but it does not show any table. I run my SSMS as an administrator, but still no avail. To the best of my knowledge you can attach a database to a higher version but not the vice versa (2008R2 database can be attached to 2012, SQL Server 2012 instances) so, I cant figure out why I am not able to see my table? Can someone help me solve the puzzle please. Starting July 14th, 2016 SQLServerZest is officially re-branded as DataGinger.com.
Most SQL Server Integration Services (SSIS) packages are created to extract data from one or more sources, transform that data, and load it into one or more destinations. Throughout this process, SSIS uses its own set of data types to move, manage, and manipulate the data before loading it into its final destination. These data types are specific to SSIS and are not the same as those supported by the SQL Server database engine or by other database systems. Although SSIS data types are different from the SQL Server ones, many of the SSIS types correspond directly to the Transact-SQL types.
However, it’s not a one-to-one mapping. SSIS also includes data types that support other database systems such as Jet, DB2, and Oracle. Plus SSIS types support data from Excel spreadsheets, comma-separated values (CSV) files, text files, directory services, and other sources. Because SSIS types are independent from the other systems, each SSIS type can map to a variety of types in those systems. For example, SSIS does not include geospatial data types such as those you find in SQL Server. Instead, SSIS uses an image type that is specifically mapped to the geospatial types.
Yet the image type is not limited to those geospatial types. It is also mapped to other data types in the various systems.
The data types supported by SSIS can be divided into the following categories:. Numeric: Types that support numeric values formatted as currencies, decimals, and signed and unsigned integers.
SSIS supports more numeric types than any other kind. String: Types that support ANSI and Unicode character strings. Date/Time: Types that support date values, time values, or both in various formats. Binary: Types that support binary and image values. Boolean: A type to handle Boolean values.
Identifier: A type to handle globally unique identifiers (GUIDs). A complete list of the SSIS types and an explanation of each one are beyond the scope of this article, but you can find details about all the SSIS types in the topic “” in SQL Server Books Online.
In the meantime, let’s look at some examples of data types being used in an SSIS package to better understand how they work. The examples retrieve data from the Production.Product table in the AdventureWorks2012 sample database (on a local instance of SQL Server 2012) and insert data into the dbo.AWProducts table, which I created in the same database. If you want to try out these examples yourself, you’ll first need to run the following Transact-SQL code to create the AWProducts table. ); The package I use to demonstrate the SSIS types is very basic and includes only the following components:. An OLE DB connection manager to retrieve data from and insert data into the AdventureWorks2012 database.
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A Data Flow task that contains the components necessary to extract, transform, and load the product data. An OLE DB source that retrieves data from the Production.Product table in the AdventureWorks2012 database. Strike fighters 2 download kickass. The source uses the OLE DB connection manager to connect to the database. A Data Conversion transformation that converts two columns in the data flow. A Derived Column transformation that creates a column based on concatenated data from columns in the data flow. An OLE DB destination that inserts data into the dbo.AWProducts table.
The destination uses the OLE DB connection manager to connect to the database. As we progress through the article, we’ll look at the package’s components in more detail in order to examine how the SSIS data types are being used. Note, however, that the components, for the most part, use the default configuration settings, so it is fairly straightforward to set them up. Figure 1 shows what the data flow should look like once you’ve added and configured all your components. Figure 1: Setting up your SSIS data flow As you can see, there’s a single connection manager, which I’ve named AdventureWorks2012, and four data flow components, all included in a single Data Flow task. Now let’s look at these components in more detail so we can better understand how SSIS data types are used in each of them.
Implicit Conversions from Source Data When you retrieve data from a data source, the data enters the package’s data flow, at which time it is implicitly converted into SSIS types. Those conversions are defined in a set of XML data type mapping files that are located on the file system where SQL Server and SSIS are installed. In SQL Server 2012, the files are located by default in the C: Program Files Microsoft SQL Server 110 DTS MappingFiles folder. It is well worth reviewing these files to get a sense of how data types are being mapped in order to facilitate data flowing in and out of an SSIS package. Each mapping file includes a set of XML elements that define the specific mappings between data source types and SSIS types.
For example, the XML file that maps SQL Server data types to SSIS data types is MSSQLToSSIS10.XML. The file contains a set of mappings that each map a SQL Server type to an SSIS type. One of these mappings is for the SQL Server XML data type, which is mapped to the SSIS DTWSTR data type, as shown in the following XML fragment. When an SSIS package retrieves data from a SQL Server database, it references the MSSQLToSSIS10.XML mapping file. If the source data includes an XML column, it will use the conversion defined in this XML fragment to convert the XML column to the DTWSTR type in SSIS, which is a string type that supports Unicode values.
Now let’s look at the OLE DB source shown in Figure 1. The component uses the AdventureWorks2012 connection manager to connect to the AdventureWorks2012 database. In addition, it uses the following SELECT statement to retrieve data from the Production.Product table. Product; After you’ve set up your OLE DB source, you can verify how the SQL Server types will be converted to SSIS types by using the advanced editor associated with that component.
Download Adventureworks 2012 Data File
You launch the editor by right-clicking the component and then clicking Show Advanced Editor. This opens the Advanced Editor for OLE DB Source dialog box. Go to the Input and Output Properties tab and, in the Inputs and Outputs box, navigate to the Output Columns node, as shown in Figure 2. Figure 2: Properties for the ProductID column Expand the Output Columns node and select the ProductID column.
Download Adventureworks2012 Data File
The properties for that column appear in the grid to the right. These properties are specific to the SSIS data flow.
As you can see in Figure 2, one of those properties is DataType, and its value is four-byte signed integer DTI4. The name of the type is DTI4, which is how it’s usually referenced in SSIS. However, in some cases, as in here, a description is also provided, which makes it handy to understand the exact nature of the type. Keep in mind, however, that the data is being retrieved from the ProductID column in the Production.Product table in SQL Server.
That column is configured with the INT data type. That means SSIS is converting the type from the SQL Server INT type to the SSIS DTI4 type. Now look at the properties in the Name column (shown in Figure 3). Notice that the DataType property now has a value of Unicode string DTWSTR. In this case, the source data comes from the SQL Server Name column, which is configured with the NVARCHAR data type. Again, SSIS has implicitly converted the source data to the SSIS type.
Figure 3: Properties for the Name column In fact, each column in the data flow has been implicitly converted to an SSIS type. Table 1 shows the data type of the source data and the SSIS type in which it has been converted.
( DTWSTR, 4 ) ProductID + SUBSTRING ( Name, 1, 4 ) To convert a column in this way, you first specify the new data type and length, in parentheses, and then the column name. You can then concatenate this value with the Name column. In this case, you’re using the SUBSTRING function to specify that only the first four letters of the name be used. The column expression is one of the values you define when we use the Derived Column transformation to create a column. Figure 5 shows how to configure the other values. Figure 5: Converting a column when creating a derived column As the figure shows, a new column named NewProdID is being added to the data flow.
The column is configured with the Unicode string data type ( DTWSTR) and its length is set to 8. Implicit Conversions to Destination Data After you’ve transformed the data in the data flow, you’re ready to load it into your target destination.
However, you might want to first verify the columns in your data flow. To do so, you can use the Data Flow Path Editor for the data flow path connecting the Derived Column transformation to the OLE DB destination. When you open the editor, go to the Metadata page, as shown in Figure 6. Figure 6: Available columns in the SSIS data flow As you can see, all columns and their data types are listed in the editor. That includes the two columns that have been converted, both before and after that conversion.
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Also included in the information is the value’s length, where applicable. If precision and scale are factors in any of your columns, those too are included. Once you’re satisfied that the data looks correct, you can configure the destination. If you’re inserting data into a SQL Server database, there should be little problem, unless the data itself does not conform to the target type.
For instance, an incorrectly formatted GUID might cause the destination component to generate an error when loading the data into a target column configured with the UNIQUEIDENTIFIER type. Table 2 shows how the data types in the SSIS data flow correspond to the data types in the AWProducts table. As you can see, not all the SSIS types correlate directly to those of the target columns. (The ListPrice and rowguid columns are not inserted into the destination, only the converted columns: ProdPrice and OldProdGUID.). Robert Sheldon left the Colorado Rockies and emergency rescue work to pursue safer and less painful interests—thus his entry into the world of technology.
He is now a technical consultant and the author of numerous books, articles, and training material related to Microsoft Windows, various relational database management systems, and business intelligence design and implementation. He has also written news stories, feature articles, restaurant reviews, legal summaries, and the novels and. You can find more information at http://www.rhsheldon.com. Oracle OLEDB to XML Field in SQL2K8R2 Robert, We have a custom web C#/SQL2K8R2 workflow application. I need to push Oracle data into a varchar(max) field as an XML DOM document.
I have no problem pulling the Oracle data using OLEDB, but I’m not sure how to create the XML DOM doc. Once I get it into the XML doc, I then need to assign metadata about it and insert it all into a staging table: CREATE TABLE stg.EtlImports( EtlImportId int IDENTITY(1,1) NOT NULL, EtlSource varchar(50) NOT NULL, EtlType varchar(50) NULL, EtlDefn varchar(max) NULL, –Either a SQL statement or path to file on disk. EtlData varchar(max) NULL, –BLOB field to hold the XML data or FILESTREAM link to file on disk. EtlDateLanded datetime NOT NULL, EtlDateProcessed datetime NULL, EtlStatus varchar(50) NULL, Comments varchar(4000) NULL ) ON PRIMARY TEXTIMAGEON PRIMARY I will have a separate SSIS package to pull the XML/File field and process the data into the workflow tables.
My question is: Is there a way I can use the ADO Recordset Destination task to accomplish this, or do I have to create a custom C# script to create the XML Doc? I’m open to any method at this point. Brandon Forest Senior Business Information Analyst Blue Shield of California.