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• Expanded securityadmin

  - by user80652

  I'm aware that sysadmin is documented as the server role necessary for creating logins (SQL/Windows-integrated); nevertheless, I'm tasked to find out if there's any other server role (built-in or otherwise) that can be used. To be specific, I'm looking to setup one or two logins with access to create logins, create [database] users, assign users to [database] roles. Potentially reset passwords, but most of the logins are Windows-integrated and it's not necessary. Cannot have access to data at all, nor can these logins have rights to update tables nor create/update roles. Seems my only options so far are to set these 2 logins with securityadmin server role and for the specific databases, configure with db_securityadmin and db_accessadmin... but this configuration doesn't allow for creating logins.

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• Help with my application please! Can’t open image(s) with error: External component has thrown an ex

  - by Brandon

  I have an application written in C# I believe and it adds images to a SQL Server 2005 Database. It requires .NET 3.5 to be installed on my computer. I installed .NET 3.5 and setup a database. It runs fine but then once it gets to image 100 when running on one computer, It stops and gives me this error: Can't open image(s) with error: External component has thrown an exception.... When I run the program on my own computer I am able to reach 300 images but then it stops after 300 images and gives me Can't open image(s) with error: External component has thrown an exception.... error once again. please help!

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• Query "where clause" fails when calling a function

  - by guest1

  Hi All, I have a function in Access VBA that takes four parameters.The fourth parameter is a "where clause" that I use in an SQL statement inside the function. The function fails when I include the fourth parameter (where clause). When I remove this fourth parameter, the function just works fine. I am not sure if there is anything wrong with the syntax of the fourth parameter ? Please help. here is the function as called in the Query FunctionA('Table1','Field1',0.3,'Field2=#' & [Field2] & '# and Value3="' & [Value3] & '"') AS Duration_Field

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• Concurrency handling

  - by Lijo

  Hi, Suppose, I am about to start a project using ASP.NET and SQL Server 2005. I have to design the concurrency requirement for this application. I am planning to add a TimeStamp column in each table. While updating the tables I will check that the TimeStamp column is same, as it was selected. Will this approach be suffice? Or is there any shortcomings for this approach under any circumstances? Please advice. Thanks Lijo

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• Why does do this code do if(sz !=sz2) sz = sz2 !?!

  - by acidzombie24

  For the first time i created a linq to sql classes. I decided to look at the class and found this. What... why is it doing if(sz !=sz2) { sz = sz2; }. I dont understand. Why isnt the set generated as this._Property1 = value? private string _Property1; [Column(Storage="_Property1", CanBeNull=false)] public string Property1 { get { return this._Property1; } set { if ((this._Property1 != value)) { this._Property1 = value; } } }

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• SQLite delete the last 25% of records in a database.

  - by Steven smethurst

  I am using a SQLite database to store values from a data logger. The data logger will eventually fills up all the available hard drive space on the computer. I'm looking for a way to remove the last 25% of the logs from the database once it reaches a certain limit. Using the following code: $ret = Query( 'SELECT id as last FROM data ORDER BY id desc LIMIT 1 ;' ); $last_id = $ret[0]['last'] ; $ret = Query( 'SELECT count( * ) as total FROM data' ); $start_id = $last_id - $ret[0]['total'] * 0.75 ; Query( 'DELETE FROM data WHERE id < '. round( $start_id, 0 ) ); A journal file gets created next to the database that fills up the remaining space on the drive until the script fails. How/Can I stop this journal file from being created? Anyway to combined all three SQL queries in to one statement?

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• More CPU cores may not always lead to better performance – MAXDOP and query memory distribution in spotlight

  - by sqlworkshops

  More hardware normally delivers better performance, but there are exceptions where it can hinder performance. Understanding these exceptions and working around it is a major part of SQL Server performance tuning.   When a memory allocating query executes in parallel, SQL Server distributes memory to each task that is executing part of the query in parallel. In our example the sort operator that executes in parallel divides the memory across all tasks assuming even distribution of rows. Common memory allocating queries are that perform Sort and do Hash Match operations like Hash Join or Hash Aggregation or Hash Union.   In reality, how often are column values evenly distributed, think about an example; are employees working for your company distributed evenly across all the Zip codes or mainly concentrated in the headquarters? What happens when you sort result set based on Zip codes? Do all products in the catalog sell equally or are few products hot selling items?   One of my customers tested the below example on a 24 core server with various MAXDOP settings and here are the results:MAXDOP 1: CPU time = 1185 ms, elapsed time = 1188 msMAXDOP 4: CPU time = 1981 ms, elapsed time = 1568 msMAXDOP 8: CPU time = 1918 ms, elapsed time = 1619 msMAXDOP 12: CPU time = 2367 ms, elapsed time = 2258 msMAXDOP 16: CPU time = 2540 ms, elapsed time = 2579 msMAXDOP 20: CPU time = 2470 ms, elapsed time = 2534 msMAXDOP 0: CPU time = 2809 ms, elapsed time = 2721 ms - all 24 cores.In the above test, when the data was evenly distributed, the elapsed time of parallel query was always lower than serial query.   Why does the query get slower and slower with more CPU cores / higher MAXDOP? Maybe you can answer this question after reading the article; let me know: [email protected].   Well you get the point, let’s see an example.   The best way to learn is to practice. To create the below tables and reproduce the behavior, join the mailing list by using this link: www.sqlworkshops.com/ml and I will send you the table creation script.   Let’s update the Employees table with 49 out of 50 employees located in Zip code 2001. update Employees set Zip = EmployeeID / 400 + 1 where EmployeeID % 50 = 1 update Employees set Zip = 2001 where EmployeeID % 50 != 1 go update statistics Employees with fullscan go   Let’s create the temporary table #FireDrill with all possible Zip codes. drop table #FireDrill go create table #FireDrill (Zip int primary key) insert into #FireDrill select distinct Zip from Employees update statistics #FireDrill with fullscan go  Let’s execute the query serially with MAXDOP 1. --Example provided by www.sqlworkshops.com --Execute query with uneven Zip code distribution --First serially with MAXDOP 1 set statistics time on go declare @EmployeeID int, @EmployeeName varchar(48),@zip int select @EmployeeName = e.EmployeeName, @zip = e.Zip from Employees e       inner join #FireDrill fd on (e.Zip = fd.Zip)       order by e.Zip option (maxdop 1) goThe query took 1011 ms to complete.   The execution plan shows the 77816 KB of memory was granted while the estimated rows were 799624.  No Sort Warnings in SQL Server Profiler.  Now let’s execute the query in parallel with MAXDOP 0. --Example provided by www.sqlworkshops.com --Execute query with uneven Zip code distribution --In parallel with MAXDOP 0 set statistics time on go declare @EmployeeID int, @EmployeeName varchar(48),@zip int select @EmployeeName = e.EmployeeName, @zip = e.Zip from Employees e       inner join #FireDrill fd on (e.Zip = fd.Zip)       order by e.Zip option (maxdop 0) go The query took 1912 ms to complete.  The execution plan shows the 79360 KB of memory was granted while the estimated rows were 799624.  The estimated number of rows between serial and parallel plan are the same. The parallel plan has slightly more memory granted due to additional overhead. Sort properties shows the rows are unevenly distributed over the 4 threads.   Sort Warnings in SQL Server Profiler.   Intermediate Summary: The reason for the higher duration with parallel plan was sort spill. This is due to uneven distribution of employees over Zip codes, especially concentration of 49 out of 50 employees in Zip code 2001. Now let’s update the Employees table and distribute employees evenly across all Zip codes.   update Employees set Zip = EmployeeID / 400 + 1 go update statistics Employees with fullscan go  Let’s execute the query serially with MAXDOP 1. --Example provided by www.sqlworkshops.com --Execute query with uneven Zip code distribution --Serially with MAXDOP 1 set statistics time on go declare @EmployeeID int, @EmployeeName varchar(48),@zip int select @EmployeeName = e.EmployeeName, @zip = e.Zip from Employees e       inner join #FireDrill fd on (e.Zip = fd.Zip)       order by e.Zip option (maxdop 1) go   The query took 751 ms to complete.  The execution plan shows the 77816 KB of memory was granted while the estimated rows were 784707.  No Sort Warnings in SQL Server Profiler.   Now let’s execute the query in parallel with MAXDOP 0. --Example provided by www.sqlworkshops.com --Execute query with uneven Zip code distribution --In parallel with MAXDOP 0 set statistics time on go declare @EmployeeID int, @EmployeeName varchar(48),@zip int select @EmployeeName = e.EmployeeName, @zip = e.Zip from Employees e       inner join #FireDrill fd on (e.Zip = fd.Zip)       order by e.Zip option (maxdop 0) go The query took 661 ms to complete.  The execution plan shows the 79360 KB of memory was granted while the estimated rows were 784707.  Sort properties shows the rows are evenly distributed over the 4 threads. No Sort Warnings in SQL Server Profiler.    Intermediate Summary: When employees were distributed unevenly, concentrated on 1 Zip code, parallel sort spilled while serial sort performed well without spilling to tempdb. When the employees were distributed evenly across all Zip codes, parallel sort and serial sort did not spill to tempdb. This shows uneven data distribution may affect the performance of some parallel queries negatively. For detailed discussion of memory allocation, refer to webcasts available at www.sqlworkshops.com/webcasts.     Some of you might conclude from the above execution times that parallel query is not faster even when there is no spill. Below you can see when we are joining limited amount of Zip codes, parallel query will be fasted since it can use Bitmap Filtering.   Let’s update the Employees table with 49 out of 50 employees located in Zip code 2001. update Employees set Zip = EmployeeID / 400 + 1 where EmployeeID % 50 = 1 update Employees set Zip = 2001 where EmployeeID % 50 != 1 go update statistics Employees with fullscan go  Let’s create the temporary table #FireDrill with limited Zip codes. drop table #FireDrill go create table #FireDrill (Zip int primary key) insert into #FireDrill select distinct Zip       from Employees where Zip between 1800 and 2001 update statistics #FireDrill with fullscan go  Let’s execute the query serially with MAXDOP 1. --Example provided by www.sqlworkshops.com --Execute query with uneven Zip code distribution --Serially with MAXDOP 1 set statistics time on go declare @EmployeeID int, @EmployeeName varchar(48),@zip int select @EmployeeName = e.EmployeeName, @zip = e.Zip from Employees e       inner join #FireDrill fd on (e.Zip = fd.Zip)       order by e.Zip option (maxdop 1) go The query took 989 ms to complete.  The execution plan shows the 77816 KB of memory was granted while the estimated rows were 785594. No Sort Warnings in SQL Server Profiler.  Now let’s execute the query in parallel with MAXDOP 0. --Example provided by www.sqlworkshops.com --Execute query with uneven Zip code distribution --In parallel with MAXDOP 0 set statistics time on go declare @EmployeeID int, @EmployeeName varchar(48),@zip int select @EmployeeName = e.EmployeeName, @zip = e.Zip from Employees e       inner join #FireDrill fd on (e.Zip = fd.Zip)       order by e.Zip option (maxdop 0) go The query took 1799 ms to complete.  The execution plan shows the 79360 KB of memory was granted while the estimated rows were 785594.  Sort Warnings in SQL Server Profiler.    The estimated number of rows between serial and parallel plan are the same. The parallel plan has slightly more memory granted due to additional overhead.  Intermediate Summary: The reason for the higher duration with parallel plan even with limited amount of Zip codes was sort spill. This is due to uneven distribution of employees over Zip codes, especially concentration of 49 out of 50 employees in Zip code 2001.   Now let’s update the Employees table and distribute employees evenly across all Zip codes. update Employees set Zip = EmployeeID / 400 + 1 go update statistics Employees with fullscan go Let’s execute the query serially with MAXDOP 1. --Example provided by www.sqlworkshops.com --Execute query with uneven Zip code distribution --Serially with MAXDOP 1 set statistics time on go declare @EmployeeID int, @EmployeeName varchar(48),@zip int select @EmployeeName = e.EmployeeName, @zip = e.Zip from Employees e       inner join #FireDrill fd on (e.Zip = fd.Zip)       order by e.Zip option (maxdop 1) go The query took 250  ms to complete.  The execution plan shows the 9016 KB of memory was granted while the estimated rows were 79973.8.  No Sort Warnings in SQL Server Profiler.  Now let’s execute the query in parallel with MAXDOP 0.  --Example provided by www.sqlworkshops.com --Execute query with uneven Zip code distribution --In parallel with MAXDOP 0 set statistics time on go declare @EmployeeID int, @EmployeeName varchar(48),@zip int select @EmployeeName = e.EmployeeName, @zip = e.Zip from Employees e       inner join #FireDrill fd on (e.Zip = fd.Zip)       order by e.Zip option (maxdop 0) go The query took 85 ms to complete.  The execution plan shows the 13152 KB of memory was granted while the estimated rows were 784707.  No Sort Warnings in SQL Server Profiler.    Here you see, parallel query is much faster than serial query since SQL Server is using Bitmap Filtering to eliminate rows before the hash join.   Parallel queries are very good for performance, but in some cases it can hinder performance. If one identifies the reason for these hindrances, then it is possible to get the best out of parallelism. I covered many aspects of monitoring and tuning parallel queries in webcasts (www.sqlworkshops.com/webcasts) and articles (www.sqlworkshops.com/articles). I suggest you to watch the webcasts and read the articles to better understand how to identify and tune parallel query performance issues.   Summary: One has to avoid sort spill over tempdb and the chances of spills are higher when a query executes in parallel with uneven data distribution. Parallel query brings its own advantage, reduced elapsed time and reduced work with Bitmap Filtering. So it is important to understand how to avoid spills over tempdb and when to execute a query in parallel.   I explain these concepts with detailed examples in my webcasts (www.sqlworkshops.com/webcasts), I recommend you to watch them. The best way to learn is to practice. To create the above tables and reproduce the behavior, join the mailing list at www.sqlworkshops.com/ml and I will send you the relevant SQL Scripts.   Register for the upcoming 3 Day Level 400 Microsoft SQL Server 2008 and SQL Server 2005 Performance Monitoring & Tuning Hands-on Workshop in London, United Kingdom during March 15-17, 2011, click here to register / Microsoft UK TechNet.These are hands-on workshops with a maximum of 12 participants and not lectures. For consulting engagements click here.   Disclaimer and copyright information:This article refers to organizations and products that may be the trademarks or registered trademarks of their various owners. Copyright of this article belongs to R Meyyappan / www.sqlworkshops.com. You may freely use the ideas and concepts discussed in this article with acknowledgement (www.sqlworkshops.com), but you may not claim any of it as your own work. This article is for informational purposes only; you use any of the suggestions given here entirely at your own risk.   Register for the upcoming 3 Day Level 400 Microsoft SQL Server 2008 and SQL Server 2005 Performance Monitoring & Tuning Hands-on Workshop in London, United Kingdom during March 15-17, 2011, click here to register / Microsoft UK TechNet.These are hands-on workshops with a maximum of 12 participants and not lectures. For consulting engagements click here.   R Meyyappan [email protected] LinkedIn: http://at.linkedin.com/in/rmeyyappan  

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• Application Performance Episode 2: Announcing the Judges!

  - by Michaela Murray

  The story so far… We’re writing a new book for ASP.NET developers, and we want you to be a part of it! If you work with ASP.NET applications, and have top tips, hard-won lessons, or sage advice for avoiding, finding, and fixing performance problems, we want to hear from you! And if your app uses SQL Server, even better – interaction with the database is critical to application performance, so we’re looking for database top tips too. There’s a Microsoft Surface apiece for the person who comes up with the best tip for SQL Server and the best tip for .NET. Of course, if your suggestion is selected for the book, you’ll get full credit, by name, Twitter handle, GitHub repository, or whatever you like. To get involved, just email your nuggets of performance wisdom to [email protected] – there are examples of what we’re looking for and full competition details at Application Performance: The Best of the Web. Enter the judges… As mentioned in my last blogpost, we have a mystery panel of celebrity judges lined up to select the prize-winning performance pointers. We’re now ready to reveal their secret identities! Judging your ASP.NET  tips will be: Jean-Phillippe Gouigoux, MCTS/MCPD Enterprise Architect and MVP Connected System Developer. He’s a board member at French software company MGDIS, and teaches algorithms, security, software tests, and ALM at the Université de Bretagne Sud. Jean-Philippe also lectures at IT conferences and writes articles for programming magazines. His book Practical Performance Profiling is published by Simple-Talk. Nik Molnar,  a New Yorker, ASP Insider, and co-founder of Glimpse, an open source ASP.NET diagnostics and debugging tool. Originally from Florida, Nik specializes in web development, building scalable, client-centric solutions. In his spare time, Nik can be found cooking up a storm in the kitchen, hanging with his wife, speaking at conferences, and working on other open source projects. Mitchel Sellers, Microsoft C# and DotNetNuke MVP. Mitchel is an experienced software architect, business leader, public speaker, and educator. He works with companies across the globe, as CEO of IowaComputerGurus Inc. Mitchel writes technical articles for online and print publications and is the author of Professional DotNetNuke Module Programming. He frequently answers questions on StackOverflow and MSDN and is an active participant in the .NET and DotNetNuke communities. Clive Tong, Software Engineer at Red Gate. In previous roles, Clive spent a lot of time working with Common LISP and enthusing about functional languages, and he’s worked with managed languages since before his first real job (which was a long time ago). Long convinced of the productivity benefits of managed languages, Clive is very interested in getting good runtime performance to keep managed languages practical for real-world development. And our trio of SQL Server specialists, ready to select your top suggestion, are (drumroll): Rodney Landrum, a SQL Server MVP who writes regularly about Integration Services, Analysis Services, and Reporting Services. He’s authored SQL Server Tacklebox, three Reporting Services books, and contributes regularly to SQLServerCentral, SQL Server Magazine, and Simple–Talk. His day job involves overseeing a large SQL Server infrastructure in Orlando. Grant Fritchey, Product Evangelist at Red Gate and SQL Server MVP. In an IT career spanning more than 20 years, Grant has written VB, VB.NET, C#, and Java. He’s been working with SQL Server since version 6.0. Grant volunteers with the Editorial Committee at PASS and has written books for Apress and Simple-Talk. Jonathan Allen, leader and founder of the PASS SQL South West user group. He’s been working with SQL Server since 1999 and enjoys performance tuning, development, and using SQL Server for business solutions. He’s spoken at SQLBits and SQL in the City, as well as local user groups across the UK. He’s also a moderator at ask.sqlservercentral.com.

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• Presenting to the New England SQL Server Users Group 10 Jun 2010!

  - by andyleonard

  I am honored to present Applied SSIS Design Patterns to the New England SQL Server Users Group on 10 Jun 2010! This is a reprise of the spotlight session presented at the PASS Summit 2009. Abstract "Design Patterns" is more than a trendy buzz phrase; design patterns are a way of breaking down complex development projects into manageable tasks. They lend themselves to several development methodologies and apply to SSIS development. Chances are you're using your own design patterns now! In this spotlight...(read more)

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• Speaking at Triangle SQL Server User Group 16 Mar 2010!

  - by andyleonard

  I'm excited to present Applied SSIS Design Patterns to the Triangle SQL Server User Group 16 Mar 2010! This is a reprise of my PASS Summit 2009 spotlight session. If you read this blog and make the meeting, introduce yourself! :{> Andy Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!...(read more)

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• Sharepoint OLE DB - field not updateable

  - by Pandincus

  I need to write a simple C# .NET application to retrieve, update, and insert some data in a Sharepoint list. I am NOT a Sharepoint developer, and I don't have control over our Sharepoint server. I would prefer not to have to develop this in a proper sharepoint development environment simply because I don't want to have to deploy my application on the Sharepoint server -- I'd rather just access data externally. Anyway, I found out that you can access Sharepoint data using OLE DB, and I tried it successfully using some ADO.NET: var db = DatabaseFactory.CreateDatabase(); DataSet ds = new DataSet(); using (var command = db.GetSqlStringCommand("SELECT * FROM List")) { db.LoadDataSet(command, ds, "List"); } The above works. However, when I try to insert: using (var command = db.GetSqlStringCommand("INSERT INTO List ([HeaderName], [Description], [Number]) VALUES ('Blah', 'Blah', 100)")) { db.ExecuteNonQuery(command); } I get this error: Cannot update 'HeaderName'; field not updateable. I did some Googling and apparently you cannot insert data through OLE DB! Does anyone know if there are some possible workarounds? I could try using Sharepoint Web Services, but I tried that initially and was having a heck of a time authenticating. Is that my only option?

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• Product Catalog Schema design

  - by FlySwat

  I'm building a proof of concept schema for a product catalog to possibly replace a very aging and crufty one we use. In our business, we sell both physical materials and services (one time and reoccurring charges). The current catalog schema has each distinct category broken out into individual tables, while this is nicely normalized and performs well, it is fairly difficult to extend. Adding a new attribute to a particular product involves changing the table schema and backpopulating old data. An idea I've been toying with has been something along the line of a base set of entity tables in 3rd normal form, these will contain the facts that are common among ALL products. Then, I'd like to build an Attribute-Entity-Value schema that allows each entity type to be extended in a flexible way using just data and no schema changes. Finally, I'd like to denormalize this data model into materialized views for each individual entity type. This views are what the application would access. We also have many tables that contain business rules and compatibility rules. These would join against the base entity tables instead of the views. My big concerns here are: Performance - Attribute-Entity-Value schemas are flexible, but typically perform poorly, should I be concerned? More Performance - Denormalizing using materialized views may have some risks, I'm not positive on this yet. Complexity - While this schema is flexible and maintainable using just data, I worry that the complexity of the design might make future schema changes difficult. For those who have designed product catalogs for large scale enterprises, am I going down the totally wrong path? Is there any good best practice schema design reading available for product catalogs?

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• Sharepoint OLE DB - cannot insert records? "Field not updateable" error

  - by Pandincus

  I need to write a simple C# .NET application to retrieve, update, and insert some data in a Sharepoint list. I am NOT a Sharepoint developer, and I don't have control over our Sharepoint server. I would prefer not to have to develop this in a proper sharepoint development environment simply because I don't want to have to deploy my application on the Sharepoint server -- I'd rather just access data externally. Anyway, I found out that you can access Sharepoint data using OLE DB, and I tried it successfully using some ADO.NET: var db = DatabaseFactory.CreateDatabase(); DataSet ds = new DataSet(); using (var command = db.GetSqlStringCommand("SELECT * FROM List")) { db.LoadDataSet(command, ds, "List"); } The above works. However, when I try to insert: using (var command = db.GetSqlStringCommand("INSERT INTO List ([HeaderName], [Description], [Number]) VALUES ('Blah', 'Blah', 100)")) { db.ExecuteNonQuery(command); } I get this error: Cannot update 'HeaderName'; field not updateable. I did some Googling and apparently you cannot insert data through OLE DB! Does anyone know if there are some possible workarounds? I could try using Sharepoint Web Services, but I tried that initially and was having a heck of a time authenticating. Is that my only option?

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• Query for rows including child rows

  - by MAD9

  A few weeks ago, I asked a question about how to generate hierarchical XML from a table, that has a parentID column. It all works fine. The point is, according to the hierarchy, I also want to query a table. I'll give you an example: Thats the table with the codes: ID CODE NAME PARENTID 1 ROOT IndustryCode NULL 2 IND Industry 1 3 CON Consulting 1 4 FIN Finance 1 5 PHARM Pharmaceuticals 2 6 AUTO Automotive 2 7 STRAT Strategy 3 8 IMPL Implementation 3 9 CFIN Corporate Finance 4 10 CMRKT Capital Markets 9 From which I generate (for displaying in a TreeViewControl) this XML: <record key="1" parentkey="" Code="ROOT" Name="IndustryCode"> <record key="2" parentkey="1" Code="IND" Name="Industry"> <record key="5" parentkey="2" Code="PHARM" Name="Pharmaceuticals" /> <record key="6" parentkey="2" Code="AUTO" Name="Automotive" /> </record> <record key="3" parentkey="1" Code="CON" Name="Consulting"> <record key="7" parentkey="3" Code="STRAT" Name="Strategy" /> <record key="8" parentkey="3" Code="IMPL" Name="Implementation" /> </record> <record key="4" parentkey="1" Code="FIN" Name="Finance"> <record key="9" parentkey="4" Code="CFIN" Name="Corporate Finance"> <record key="10" parentkey="9" Code="CMRKT" Name="Capital Markets" /> </record> </record> </record> As you can see, some codes are subordinate to others, for example AUTO << IND << ROOT What I want (and have absolutely no idea how to realise or even, where to start) is to be able to query another table (where one column is this certain code of course) for a code and get all records with the specific code and all subordinate codes For example: I query the other table for "IndustryCode = IND[ustry]" and get (of course) the records containing "IND", but also AUTO[motive] and PHARM[aceutical] (= all subordinates) Its an SQL Express Server 2008 with Advanced Services.

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• Query column and everything subordinate (hard to describe, non native speaker, PLS let me explain)

  - by MAD9

  A few weeks ago, I asked a question about how to generate hierarchical XML from a table, that has a parentID column. It all works fine. The point is, according to the hierarchy, I also want to query a table. I'll give you an example: Thats the table with the codes: ID CODE NAME PARENTID 1 ROOT IndustryCode NULL 2 IND Industry 1 3 CON Consulting 1 4 FIN Finance 1 5 PHARM Pharmaceuticals 2 6 AUTO Automotive 2 7 STRAT Strategy 3 8 IMPL Implementation 3 9 CFIN Corporate Finance 4 10 CMRKT Capital Markets 9 From which I generate (for displaying in a TreeViewControl) this XML: <record key="1" parentkey="" Code="ROOT" Name="IndustryCode"> <record key="2" parentkey="1" Code="IND" Name="Industry"> <record key="5" parentkey="2" Code="PHARM" Name="Pharmaceuticals" /> <record key="6" parentkey="2" Code="AUTO" Name="Automotive" /> </record> <record key="3" parentkey="1" Code="CON" Name="Consulting"> <record key="7" parentkey="3" Code="STRAT" Name="Strategy" /> <record key="8" parentkey="3" Code="IMPL" Name="Implementation" /> </record> <record key="4" parentkey="1" Code="FIN" Name="Finance"> <record key="9" parentkey="4" Code="CFIN" Name="Corporate Finance"> <record key="10" parentkey="9" Code="CMRKT" Name="Capital Markets" /> </record> </record> </record> As you can see, some codes are subordinate to others, for example AUTO << IND << ROOT What I want (and have absolutely no idea how to realise or even, where to start) is to be able to query another table (where one column is this certain code of course) for a code and get all records with the specific code and all subordinate codes For example: I query the other table for "IndustryCode = IND[ustry]" and get (of course) the records containing "IND", but also AUTO[motive] and PHARM[aceutical] (= all subordinates) Its an SQL Express Server 2008 with Advanced Services.

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• SELECT set of most recent id, amount FROM table, where id occurs many times

  - by Jon Cram

  I have a table recording the amount of data transferred by a given service on a given date. One record is entered daily for a given service. I'd like to be able to retrieve the most recent amount for a set of services. Example data set: serviceId | amount | date ------------------------------- 1 | 8 | 2010-04-12 2 | 11 | 2010-04-12 2 | 14 | 2010-04-11 3 | 9 | 2010-04-11 1 | 6 | 2010-04-10 2 | 5 | 2010-04-10 3 | 22 | 2010-04-10 4 | 17 | 2010-04-19 Desired response (service ids 1,2,3): serviceId | amount | date ------------------------------- 1 | 8 | 2010-04-12 2 | 11 | 2010-04-12 3 | 9 | 2010-04-11 Desired response (service ids 2, 4): serviceId | amount | date ------------------------------- 2 | 11 | 2010-04-12 4 | 17 | 2010-04-19 This retrieves the equivalent as running the following once per serviceId: SELECT serviceId, amount, date FROM table WHERE serviceId = <given serviceId> ORDER BY date DESC LIMIT 0,1 I understand how I can retrieve the data I want in X queries. I'm interested to see how I can retrieve the same data using either a single query or at the very least less than X queries. I'm very interested to see what might be the most efficient approach. The table currently contains 28809 records. I appreciate that there are other questions that cover selecting the most recent set of records. I have examined three such questions but have been unable to apply the solutions to my problem.

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• Handling nulls in Datawarehouse

  - by rrydman

  I'd like to ask your input on what the best practice is for handling null or empty data values when it pertains to data warehousing and SSIS/SSAS. I have several fact and dimension tables that contain null values in different rows. Specifics: 1) What is the best way to handle null date/times values? Should I make a 'default' row in my time or date dimensions and point SSIS to the default row when there is a null found? 2) What is the best way to handle nulls/empty values inside of dimension data. Ex: I have some rows in an 'Accounts' dimensions that have empty (not NULL) values in the Account Name column. Should I convert these empty or null values inside the column to a specific default value? 3) Similar to point 1 above - What should I do if I end up with a Facttable row that has no record in one of the dimension columns? Do I need default dimension records for each dimension in case this happens? 4) Any suggestion or tips in regards to how to handle these operation in Sql server integration services (SSIS)? Best data flow configurations or best transformation objects to use would be helpful. Thanks :-)

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• Setting up Rails to work with sqlserver

  - by FortunateDuke

  Ok I followed the steps for setting up ruby and rails on my Vista machine and I am having a problem connecting to the database. Contents of database.yml development: adapter: sqlserver database: APPS_SETUP Host: WindowsVT06\SQLEXPRESS Username: se Password: paswd Run rake db:migrate from myapp directory ---------- rake aborted! no such file to load -- deprecated ADO I have dbi 0.4.0 installed and have created the ADO folder in C:\Ruby\lib\ruby\site_ruby\1.8\DBD\ADO I got the ado.rb from the dbi 0.2.2 What else should I be looking at to fix the issue connecting to the database? Please don't tell me to use MySql or Sqlite or Postgres. *UPDATE* I have installed the activerecord-sqlserver-adapter gem from --source=http://gems.rubyonrails.org Still not working. I have verified that I can connect to the database by logging into SQL Management Studio with the credentials. rake db:migrate --trace PS C:\Inetpub\wwwroot\myapp> rake db:migrate --trace (in C:/Inetpub/wwwroot/myapp) ** Invoke db:migrate (first_time) ** Invoke environment (first_time) ** Execute environment ** Execute db:migrate rake aborted! no such file to load -- deprecated C:/Ruby/lib/ruby/site_ruby/1.8/rubygems/custom_require.rb:27:in `gem_original_require' C:/Ruby/lib/ruby/site_ruby/1.8/rubygems/custom_require.rb:27:in `require' C:/Ruby/lib/ruby/gems/1.8/gems/activesupport-2.1.1/lib/active_support/dependencies.rb:510:in `require' C:/Ruby/lib/ruby/gems/1.8/gems/activesupport-2.1.1/lib/active_support/dependencies.rb:355:in `new_constants_in' C:/Ruby/lib/ruby/gems/1.8/gems/activesupport-2.1.1/lib/active_support/dependencies.rb:510:in `require' C:/Ruby/lib/ruby/site_ruby/1.8/dbi.rb:48 C:/Ruby/lib/ruby/site_ruby/1.8/rubygems/custom_require.rb:27:in `gem_original_require' C:/Ruby/lib/ruby/site_ruby/1.8/rubygems/custom_require.rb:27:in `require' C:/Ruby/lib/ruby/gems/1.8/gems/activesupport-2.1.1/lib/active_support/dependencies.rb:510:in `require' C:/Ruby/lib/ruby/gems/1.8/gems/activesupport-2.1.1/lib/active_support/dependencies.rb:355:in `new_constants_in' C:/Ruby/lib/ruby/gems/1.8/gems/activesupport-2.1.1/lib/active_support/dependencies.rb:510:in `require' C:/Ruby/lib/ruby/gems/1.8/gems/activesupport-2.1.1/lib/active_support/core_ext/kernel/requires.rb:7:in `require_library_ or_gem' C:/Ruby/lib/ruby/gems/1.8/gems/activesupport-2.1.1/lib/active_support/core_ext/kernel/reporting.rb:11:in `silence_warnin gs' C:/Ruby/lib/ruby/gems/1.8/gems/activesupport-2.1.1/lib/active_support/core_ext/kernel/requires.rb:5:in `require_library_ or_gem' C:/Ruby/lib/ruby/gems/1.8/gems/activerecord-sqlserver-adapter-1.0.0.9250/lib/active_record/connection_adapters/sqlserver _adapter.rb:29:in `sqlserver_connection' C:/Ruby/lib/ruby/gems/1.8/gems/activerecord-2.1.1/lib/active_record/connection_adapters/abstract/connection_specificatio n.rb:292:in `send' C:/Ruby/lib/ruby/gems/1.8/gems/activerecord-2.1.1/lib/active_record/connection_adapters/abstract/connection_specificatio n.rb:292:in `connection=' C:/Ruby/lib/ruby/gems/1.8/gems/activerecord-2.1.1/lib/active_record/connection_adapters/abstract/connection_specificatio n.rb:260:in `retrieve_connection' C:/Ruby/lib/ruby/gems/1.8/gems/activerecord-2.1.1/lib/active_record/connection_adapters/abstract/connection_specificatio n.rb:78:in `connection' C:/Ruby/lib/ruby/gems/1.8/gems/activerecord-2.1.1/lib/active_record/migration.rb:408:in `initialize' C:/Ruby/lib/ruby/gems/1.8/gems/activerecord-2.1.1/lib/active_record/migration.rb:373:in `new' C:/Ruby/lib/ruby/gems/1.8/gems/activerecord-2.1.1/lib/active_record/migration.rb:373:in `up' C:/Ruby/lib/ruby/gems/1.8/gems/activerecord-2.1.1/lib/active_record/migration.rb:356:in `migrate' C:/Ruby/lib/ruby/gems/1.8/gems/rails-2.1.1/lib/tasks/databases.rake:99 C:/Ruby/lib/ruby/gems/1.8/gems/rake-0.8.2/lib/rake.rb:621:in `call' C:/Ruby/lib/ruby/gems/1.8/gems/rake-0.8.2/lib/rake.rb:621:in `execute' C:/Ruby/lib/ruby/gems/1.8/gems/rake-0.8.2/lib/rake.rb:616:in `each' C:/Ruby/lib/ruby/gems/1.8/gems/rake-0.8.2/lib/rake.rb:616:in `execute' C:/Ruby/lib/ruby/gems/1.8/gems/rake-0.8.2/lib/rake.rb:582:in `invoke_with_call_chain' C:/Ruby/lib/ruby/1.8/monitor.rb:242:in `synchronize' C:/Ruby/lib/ruby/gems/1.8/gems/rake-0.8.2/lib/rake.rb:575:in `invoke_with_call_chain' C:/Ruby/lib/ruby/gems/1.8/gems/rake-0.8.2/lib/rake.rb:568:in `invoke' C:/Ruby/lib/ruby/gems/1.8/gems/rake-0.8.2/lib/rake.rb:2031:in `invoke_task' C:/Ruby/lib/ruby/gems/1.8/gems/rake-0.8.2/lib/rake.rb:2009:in `top_level' C:/Ruby/lib/ruby/gems/1.8/gems/rake-0.8.2/lib/rake.rb:2009:in `each' C:/Ruby/lib/ruby/gems/1.8/gems/rake-0.8.2/lib/rake.rb:2009:in `top_level' C:/Ruby/lib/ruby/gems/1.8/gems/rake-0.8.2/lib/rake.rb:2048:in `standard_exception_handling' C:/Ruby/lib/ruby/gems/1.8/gems/rake-0.8.2/lib/rake.rb:2003:in `top_level' C:/Ruby/lib/ruby/gems/1.8/gems/rake-0.8.2/lib/rake.rb:1982:in `run' C:/Ruby/lib/ruby/gems/1.8/gems/rake-0.8.2/lib/rake.rb:2048:in `standard_exception_handling' C:/Ruby/lib/ruby/gems/1.8/gems/rake-0.8.2/lib/rake.rb:1979:in `run' C:/Ruby/lib/ruby/gems/1.8/gems/rake-0.8.2/bin/rake:31 C:/Ruby/bin/rake:19:in `load' C:/Ruby/bin/rake:19 PS C:\Inetpub\wwwroot\myapp>

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• What I&rsquo;m Reading &ndash; 2 &ndash; Microsoft Silverlight 4 Data and Services Cookbook

  - by Dave Campbell

  A while back I mentioned that I had a couple books on my desktop that I’ve been “shooting holes” in … in other words, reading pieces that are interesting at the time, or looking something up rather than starting at the front and heading for the back. The book I want to mention today is Microsoft Silverlight 4 Data and Services Cookbook : by Gill Cleeren and Kevin Dockx. As opposed to the authors of the last book I reviewed, I don’t personally know Gill or Kevin, but I’ve blogged a lot of their articles… both prolific and on-topic writers. The ‘recipe’ style of the book shouldn’t put you off. It’s more of the way the chapters are laid out than anything else and once you see one of them, you recognize the pattern. This is a great eBook to have around to open when you need to find something useful. As with the other PACKT book I talked about have the eBook because for technical material, at least lately, I’ve gravitated toward that. I can have it with me on a USB stick at work, or at home. Read the free chapter then check out their blogs. You may be surprised by some of the items you’ll find inside the covers. One such nugget is one I don’t think I’ve seen blogged:  “Converting You Existing Applications to Use Silverlight”. Another good job! Technorati Tags: Silverlight 4

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• Is it bad practice for services to share a database in SOA?

  - by Paul T Davies

  I have recently been reading Hohpe and Woolf's Enterprise Integration Patterns, some of Thomas Erl's books on SOA and watching various videos and podcasts by Udi Dahan et al. on CQRS and Event Driven systems. Systems in my place of work suffer from high coupling. Although each system theoretically has its own database, there is a lot of joining between them. In practice this means there is one huge database that all systems use. For example, there is one table of customer data. Much of what I've read seems to suggest denormalising data so that each system uses only its database, and any updates to one system are propagated to all the others using messaging. I thought this was one of the ways of enforcing the boundaries in SOA - each service should have its own database, but then I read this: http://stackoverflow.com/questions/4019902/soa-joining-data-across-multiple-services and it suggests this is the wrong thing to do. Segregating the databases does seem like a good way of decoupling systems, but now I'm a bit confused. Is this a good route to take? Is it ever recommended that you should segregate a database on, say an SOA service, an DDD Bounded context, an application, etc?

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• Would I be able to use code hosting services to host malware code?

  - by NlightNFotis

  Let me start by saying that I am a computer security researcher. Part of my job is to create malware to deploy on a controlled environment in order to study or evaluate several aspects of computer security. Now, I am starting to think that using an online code hosting service (such as BitBucket, Github, etc...) to have all my code in 1 place, would allow me to work on my projects more efficiently. My question is: Are there any issues with this? I have studied those companies' privacy policies, and they state that they allow usage of their services for lawful usage. Since I am not distributing malware, but I am only using it on my machines and machines that I am authorized to use, aren't I allowed to use the service? For the usage that I am doing, malware is the same as any other software. I recognise that I should be extremely careful with code hosting, as any mistake from my part could hold me liable for damages and leave me open against legal action. As such I am recognizing that I should use private repositories, so the code is not available to the public. But how private is a private repository? How can I trust that companies like them will not leak or sell a potential (electronic) viral weaponry that I may have created in the future?

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• Welcome to EMACS! - the Enterprise Manager Blog from Advanced Customer Services

  - by Rajat Nigam

  Advanced Customer Services(ACS) is the specialist group within Oracle which has helped countless customers become successful with Enterprise Manager as a System Management Product of their choice. ACS has a dedicated "Center of Excellence for Enterprise Manager" with a charter to make customers successful with Enterprise Manager. ACS helps customers right from setting up Enterprise Manager Grid Control to manage enterprise class highly available application deployments, to on-going housekeeping, to evaluation and adoption of new features and solutions, migration and upgrades,  to customizations and extensions of Enterprise Manager and more. 'Emacs' is possibly the best title for this yet another blog on Enterprise Manager. Emacs is going to talk about the real life experiences that Oracle ACS and Oracle Pre-sales team has with Oracle Enterprise Manager in real customer environments from different industry verticals like Banking, Telecom, Defence, Manufacturing, Public Utlities, etc. It discusses best practices, common blue-prints, links to interesting collateral, ACS authored tools and utlitlies. Feel free to ask questions influencing business/architectural decisions to something which is very technical in nature and very specific to the tool. We absolutely welcome any comments and feedback that you can provide. Thanks for visiting our blog!    

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• how to avoid sub-query to gain performance

  - by chun

  hi i have a reporting query which have 2 long sub-query SELECT r1.code_centre, r1.libelle_centre, r1.id_equipe, r1.equipe, r1.id_file_attente, r1.libelle_file_attente,r1.id_date, r1.tranche, r1.id_granularite_de_periode,r1.granularite, r1.ContactsTraites, r1.ContactsenParcage, r1.ContactsenComm, r1.DureeTraitementContacts, r1.DureeComm, r1.DureeParcage, r2.AgentsConnectes, r2.DureeConnexion, r2.DureeTraitementAgents, r2.DureePostTraitement FROM ( SELECT cc.id_centre_contact, cc.code_centre, cc.libelle_centre, a.id_equipe, a.equipe, a.id_file_attente, f.libelle_file_attente, a.id_date, g.tranche, g.id_granularite_de_periode, g.granularite, sum(Nb_Contacts_Traites) as ContactsTraites, sum(Nb_Contacts_en_Parcage) as ContactsenParcage, sum(Nb_Contacts_en_Communication) as ContactsenComm, sum(Duree_Traitement/1000) as DureeTraitementContacts, sum(Duree_Communication / 1000 + Duree_Conference / 1000 + Duree_Com_Interagent / 1000) as DureeComm, sum(Duree_Parcage/1000) as DureeParcage FROM agr_synthese_activite_media_fa_agent a, centre_contact cc, direction_contact dc, granularite_de_periode g, media m, file_attente f WHERE m.id_media = a.id_media AND cc.id_centre_contact = a.id_centre_contact AND a.id_direction_contact = dc.id_direction_contact AND dc.direction_contact ='INCOMING' AND a.id_file_attente = f.id_file_attente AND m.media = 'PHONE' AND ( ( g.valeur_min = date_format(a.id_date,'%d/%m') and g.granularite = 'Jour') or ( g.granularite = 'Heure' and a.id_th_heure = g.id_granularite_de_periode) ) GROUP by cc.id_centre_contact, a.id_equipe, a.id_file_attente, a.id_date, g.tranche, g.id_granularite_de_periode) r1, ( (SELECT cc.id_centre_contact,cc.code_centre, cc.libelle_centre, a.id_equipe, a.equipe, a.id_date, g.tranche, g.id_granularite_de_periode,g.granularite, count(distinct a.id_agent) as AgentsConnectes, sum(Duree_Connexion / 1000) as DureeConnexion, sum(Duree_en_Traitement / 1000) as DureeTraitementAgents, sum(Duree_en_PostTraitement / 1000) as DureePostTraitement FROM activite_agent a, centre_contact cc, granularite_de_periode g WHERE ( g.valeur_min = date_format(a.id_date,'%d/%m') and g.granularite = 'Jour') AND cc.id_centre_contact = a.id_centre_contact GROUP BY cc.id_centre_contact, a.id_equipe, a.id_date, g.tranche, g.id_granularite_de_periode ) UNION (SELECT cc.id_centre_contact,cc.code_centre, cc.libelle_centre, a.id_equipe, a.equipe, a.id_date, g.tranche, g.id_granularite_de_periode,g.granularite, count(distinct a.id_agent) as AgentsConnectes, sum(Duree_Connexion / 1000) as DureeConnexion, sum(Duree_en_Traitement / 1000) as DureeTraitementAgents, sum(Duree_en_PostTraitement / 1000) as DureePostTraitement FROM activite_agent a, centre_contact cc, granularite_de_periode g WHERE ( g.granularite = 'Heure' AND a.id_th_heure = g.id_granularite_de_periode) AND cc.id_centre_contact = a.id_centre_contact GROUP BY cc.id_centre_contact,a.id_equipe, a.id_date, g.tranche, g.id_granularite_de_periode) ) r2 WHERE r1.id_centre_contact = r2.id_centre_contact AND r1.id_equipe = r2.id_equipe AND r1.id_date = r2.id_date AND r1.tranche = r2.tranche AND r1.id_granularite_de_periode = r2.id_granularite_de_periode GROUP BY r1.id_centre_contact , r1.id_equipe, r1.id_file_attente, r1.id_date, r1.tranche, r1.id_granularite_de_periode ORDER BY r1.code_centre, r1.libelle_centre, r1.equipe, r1.libelle_file_attente, r1.id_date, r1.id_granularite_de_periode,r1.tranche the EXPLAIN shows | id | select_type | table | type| possible_keys | key | key_len | ref| rows | Extra | '1', 'PRIMARY', '<derived3>', 'ALL', NULL, NULL, NULL, NULL, '2520', 'Using temporary; Using filesort' '1', 'PRIMARY', '<derived2>', 'ALL', NULL, NULL, NULL, NULL, '4378', 'Using where; Using join buffer' '3', 'DERIVED', 'a', 'ALL', 'fk_Activite_Agent_centre_contact', NULL, NULL, NULL, '83433', 'Using temporary; Using filesort' '3', 'DERIVED', 'g', 'ref', 'Index_granularite,Index_Valeur_min', 'Index_Valeur_min', '23', 'func', '1', 'Using where' '3', 'DERIVED', 'cc', 'ALL', 'PRIMARY', NULL, NULL, NULL, '6', 'Using where; Using join buffer' '4', 'UNION', 'g', 'ref', 'PRIMARY,Index_granularite', 'Index_granularite', '23', '', '24', 'Using where; Using temporary; Using filesort' '4', 'UNION', 'a', 'ref', 'fk_Activite_Agent_centre_contact,fk_activite_agent_TH_heure', 'fk_activite_agent_TH_heure', '5', 'reporting_acd.g.Id_Granularite_de_periode', '2979', 'Using where' '4', 'UNION', 'cc', 'ALL', 'PRIMARY', NULL, NULL, NULL, '6', 'Using where; Using join buffer' NULL, 'UNION RESULT', '<union3,4>', 'ALL', NULL, NULL, NULL, NULL, NULL, '' '2', 'DERIVED', 'g', 'range', 'PRIMARY,Index_granularite,Index_Valeur_min', 'Index_granularite', '23', NULL, '389', 'Using where; Using temporary; Using filesort' '2', 'DERIVED', 'a', 'ALL', 'fk_agr_synthese_activite_media_fa_agent_centre_contact,fk_agr_synthese_activite_media_fa_agent_direction_contact,fk_agr_synthese_activite_media_fa_agent_file_attente,fk_agr_synthese_activite_media_fa_agent_media,fk_agr_synthese_activite_media_fa_agent_th_heure', NULL, NULL, NULL, '20903', 'Using where; Using join buffer' '2', 'DERIVED', 'cc', 'eq_ref', 'PRIMARY', 'PRIMARY', '4', 'reporting_acd.a.Id_Centre_Contact', '1', '' '2', 'DERIVED', 'f', 'eq_ref', 'PRIMARY', 'PRIMARY', '4', 'reporting_acd.a.Id_File_Attente', '1', '' '2', 'DERIVED', 'dc', 'eq_ref', 'PRIMARY', 'PRIMARY', '4', 'reporting_acd.a.Id_Direction_Contact', '1', 'Using where' '2', 'DERIVED', 'm', 'eq_ref', 'PRIMARY', 'PRIMARY', '4', 'reporting_acd.a.Id_Media', '1', 'Using where' don't know it very clear, but i think is the problem of seems it take full scaning than i change all the sub-query to views(create view as select sub-query), and the result is the same thanks for any advice

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• Tomcat 7 vs. ehCache Standalone Server (Glassfish) Configuration with RESTful Web Services

  - by socal_javaguy

  My requirements consist of using ehCache to send and store data via RESTful web service calls. The data can be stored in-memory or via the filesystem... Never used ehCache before so I am having some issues deciding on which bundle to use. Have downloaded the following bundles: ehcache-2.6.2 ehcache-standalone-server-1.0.0 (1) What is the difference between the two? It seems the ehcache-2.6.2 contains src and binaries, which essentially enables one to bundle it with their webapps (by putting the compiled jar or binaries inside the webapp's WEB-INF/lib folder). But it doesn't seem that it has support for Restful web services. Whereas, ehcache-standalone-server-1.0.0 (comes with an embedded Glassfish server and has support for REST & SOAP) can be used to run as a standalone server. If I my answers to my own question are correct, then that means, I should just use the standalone server? (2) My requirements are to setup ehCache (with REST support) on Tomcat 7. So, how could I setup ehCache on Tomcat 7 as a separate app with REST & SOAP support? Thank you for taking the time to read this...

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• Dataset.ReadXml() - Invalid character in the given encoding

  - by NLV

  Hello all I have saved a dataset in the sql database in an xml column using the following code. XmlDataDocument dd = new XmlDataDocument(dataset); and passing this xml document as sql parameter using param.value = new XmlNodeReader(dd); The XML is like <NewDataSet><SubContractChangeOrders><AGCol>1</AGCol><SCO_x0020_Number>001</SCO_x0020_Number><Contract_x0020_Number>006</Contract_x0020_Number><ContractID>30</ContractID><ChangeOrderID>211</ChangeOrderID><Amount>0.0000</Amount><Udf_CostReimbursableFlag>false</Udf_CostReimbursableFlag><Udf_CustomerCode /><Udf_SubChangeOrderStatus /></SubContractChangeOrders><SubContractChangeOrders><AGCol>2</AGCol><SCO_x0020_Number>002</SCO_x0020_Number><Contract_x0020_Number>006</Contract_x0020_Number><ContractID>30</ContractID><ChangeOrderID>212</ChangeOrderID><Amount>0.0000</Amount><Udf_CostReimbursableFlag>false</Udf_CostReimbursableFlag></SubContractChangeOrders><SubContractChangeOrders><AGCol>3</AGCol><SCO_x0020_Number>001</SCO_x0020_Number><Contract_x0020_Number>111</Contract_x0020_Number><ContractID>87</ContractID><ChangeOrderID>12</ChangeOrderID><Amount>300.0000</Amount></SubContractChangeOrders><SubContractChangeOrders><AGCol>4</AGCol><SCO_x0020_Number>001</SCO_x0020_Number><Contract_x0020_Number>222</Contract_x0020_Number><ContractID>80</ContractID><ChangeOrderID>6</ChangeOrderID><Amount>100.0000</Amount></SubContractChangeOrders><SubContractChangeOrders><AGCol>5</AGCol><SCO_x0020_Number>001</SCO_x0020_Number><Contract_x0020_Number>777</Contract_x0020_Number><ContractID>79</ContractID><ChangeOrderID>5</ChangeOrderID><Amount>200.0000</Amount></SubContractChangeOrders><SubContractChangeOrders><AGCol>6</AGCol><SCO_x0020_Number>001</SCO_x0020_Number><Contract_x0020_Number>786</Contract_x0020_Number><ContractID>77</ContractID><ChangeOrderID>3</ChangeOrderID><Amount>100.0000</Amount></SubContractChangeOrders><SubContractChangeOrders><AGCol>7</AGCol><SCO_x0020_Number>001</SCO_x0020_Number><Contract_x0020_Number>787</Contract_x0020_Number><ContractID>78</ContractID><ChangeOrderID>4</ChangeOrderID><Amount>500.0000</Amount></SubContractChangeOrders><SubContractChangeOrders><AGCol>8</AGCol><SCO_x0020_Number>001</SCO_x0020_Number><Contract_x0020_Number>Con 009</Contract_x0020_Number><ContractID>219</ContractID><ChangeOrderID>78</ChangeOrderID><Amount>9000.0000</Amount></SubContractChangeOrders><SubContractChangeOrders><AGCol>9</AGCol><SCO_x0020_Number>001</SCO_x0020_Number><Contract_x0020_Number>Con 010</Contract_x0020_Number><ContractID>220</ContractID><ChangeOrderID>79</ChangeOrderID><Amount>13000.0000</Amount></SubContractChangeOrders><SubContractChangeOrders><AGCol>10</AGCol><SCO_x0020_Number>001</SCO_x0020_Number><Contract_x0020_Number>Con 012</Contract_x0020_Number><ContractID>222</ContractID><ChangeOrderID>83</ChangeOrderID><Amount>2300.0000</Amount></SubContractChangeOrders><SubContractChangeOrders><AGCol>11</AGCol><SCO_x0020_Number>001</SCO_x0020_Number><Contract_x0020_Number>Con 020</Contract_x0020_Number><ContractID>226</ContractID><ChangeOrderID>86</ChangeOrderID><Amount>5400.0000</Amount></SubContractChangeOrders><SubContractChangeOrders><AGCol>12</AGCol><SCO_x0020_Number>001</SCO_x0020_Number><Contract_x0020_Number>Con 021</Contract_x0020_Number><ContractID>227</ContractID><ChangeOrderID>87</ChangeOrderID><Amount>2300.0000</Amount></SubContractChangeOrders><SubContractChangeOrders><AGCol>13</AGCol><SCO_x0020_Number>001</SCO_x0020_Number><Contract_x0020_Number>Con001</Contract_x0020_Number><ContractID>208</ContractID><ChangeOrderID>72</ChangeOrderID><Amount>3000.0000</Amount></SubContractChangeOrders><SubContractChangeOrders><AGCol>14</AGCol><SCO_x0020_Number>001</SCO_x0020_Number><Contract_x0020_Number>Con002</Contract_x0020_Number><ContractID>209</ContractID><ChangeOrderID>73</ChangeOrderID><Amount>400.0000</Amount></SubContractChangeOrders><SubContractChangeOrders><AGCol>15</AGCol><SCO_x0020_Number>001</SCO_x0020_Number><Contract_x0020_Number>Con003</Contract_x0020_Number><ContractID>210</ContractID><ChangeOrderID>74</ChangeOrderID><Amount>6000.0000</Amount></SubContractChangeOrders><SubContractChangeOrders><AGCol>16</AGCol><SCO_x0020_Number>001</SCO_x0020_Number><Contract_x0020_Number>Con004</Contract_x0020_Number><ContractID>211</ContractID><ChangeOrderID>75</ChangeOrderID><Amount>9000.0000</Amount></SubContractChangeOrders><SubContractChangeOrders><AGCol>17</AGCol><SCO_x0020_Number>001</SCO_x0020_Number><Contract_x0020_Number>Con005</Contract_x0020_Number><ContractID>213</ContractID><ChangeOrderID>76</ChangeOrderID><Amount>17000.0000</Amount></SubContractChangeOrders><SubContractChangeOrders><AGCol>18</AGCol><SCO_x0020_Number>001</SCO_x0020_Number><Contract_x0020_Number>Cont001</Contract_x0020_Number><ContractID>228</ContractID><ChangeOrderID>89</ChangeOrderID><Amount>2000.0000</Amount></SubContractChangeOrders><SubContractChangeOrders><AGCol>19</AGCol><SCO_x0020_Number>001</SCO_x0020_Number><Contract_x0020_Number>PUR001</Contract_x0020_Number><ContractID>229</ContractID><ChangeOrderID>88</ChangeOrderID><Amount>1000.0000</Amount></SubContractChangeOrders><SubContractChangeOrders><AGCol>20</AGCol><SCO_x0020_Number>001</SCO_x0020_Number><Contract_x0020_Number>PUR002</Contract_x0020_Number><ContractID>230</ContractID><ChangeOrderID>90</ChangeOrderID><Amount>3000.0000</Amount></SubContractChangeOrders><SubContractChangeOrders><AGCol>21</AGCol><SCO_x0020_Number>001</SCO_x0020_Number><Contract_x0020_Number>SC-002</Contract_x0020_Number><ContractID>2</ContractID><ChangeOrderID>7</ChangeOrderID><Amount>200.0000</Amount></SubContractChangeOrders><SubContractChangeOrders><AGCol>22</AGCol><SCO_x0020_Number>001</SCO_x0020_Number><Contract_x0020_Number>SC-004</Contract_x0020_Number><ContractID>7</ContractID><ChangeOrderID>65</ChangeOrderID><Amount>1000.0000</Amount></SubContractChangeOrders></NewDataSet> I'm trying to read it back as follows using (SqlConnection con = new SqlConnection("Server=#####;Initial Catalog=#####;User ID=####;Pwd=########")) { using (SqlCommand com = new SqlCommand("select * from dbo.tbl_#####", con)) { using (SqlDataAdapter ada = new SqlDataAdapter(com)) { ada.Fill(dt); MemoryStream ms = new MemoryStream(); object contractXML1 = dt.Rows[0]["SCOXML1"]; System.Runtime.Serialization.Formatters.Binary.BinaryFormatter bf = new System.Runtime.Serialization.Formatters.Binary.BinaryFormatter(); bf.Serialize(ms, contractXML1); ms.Seek(0, SeekOrigin.Begin); ds.ReadXml(ms); } } } I'm getting the following error Data at the root level is invalid. Line 1, position 6. Any ideas? NLV

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