alter table - Page 297 - Developer IT

Using Oracle Data in the Business Rules Engine

- by Christopher House

Yesterday I started working on some new functionality that I had planned to implement using the Business Rules Engine. As I got further into it, I realized that some of my rules were going to need to reference some data that resides in an Oracle database. I knew the Business Rules Composer supports using DataConnections and TypedDataTables, but I’d never used this functionality myself, so I wasn’t so sure how it would work with Oracle. As it turns out, it’s very do-able, there’s just little hoop you need to jump through. I fired up BRC and my suspicions were quickly confirmed. BRC only recognizes SQL Server databases when it comes to editing rules. Not letting that deter me, I decided to see if I could “trick” BRE into using Oracle data. On my local SQL server, I created a new database and in that database, created a table that matched the schema of the table I wanted to use in the Oracle database. I then set about creating my rules, referencing the new SQL Server database everywhere I wanted to use Oracle data. Finally, I created a new class library and added a class that implements Microsoft.RuleEngine.IFactRetriever. In that class, I added the necessary code to get a DataSet from the Oracle server, wrap it in a TypedDataTable and assert it into the rule engine. It’s worth pointing out that in my IFactRetriever class, I made sure to set my DataSet name to the name of the database I’d referenced in the BRC and the DataTable’s name to the name of the table that I’d referenced in the BRC. After gac’ing the new class library and deploying my policy, I tested and everything worked as expected.

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An XEvent a Day (3 of 31) – Managing Event Sessions

- by Jonathan Kehayias

Yesterdays post, Querying the Extended Events Metadata , showed how to discover the objects available for use in Extended Events. In todays post, we’ll take a look at the DDL Commands that are used to create and manage Event Sessions based on the objects available in the system. Like other objects inside of SQL Server, there are three DDL commands that are used with Extended Events; CREATE EVENT SESSION , ALTER EVENT SESSION , and DROP EVENT SESSION . The command names are self...(read more)

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Data Web Controls Enhancements in ASP.NET 4.0

Traditionally, developers using Web controls enjoyed increased productivity but at the cost of control over the rendered markup. For instance, many ASP.NET controls automatically wrap their content in <table> for layout or styling purposes. This behavior runs counter to the web standards that have evolved over the past several years, which favor cleaner, terser HTML; sparing use of tables; and Cascading Style Sheets (CSS) for layout and styling. Furthermore, the <table> elements and other automatically-added content makes it harder to both style the Web controls using CSS and to work with the controls from client-side script. One of the aims of ASP.NET version 4.0 is to give Web Form developers greater control over the markup rendered by Web controls. Last week's article, Take Control Of Web Control ClientID Values in ASP.NET 4.0, highlighted how new properties in ASP.NET 4.0 give the developer more say over how a Web control's ID property is translated into a client-side id attribute. In addition to these ClientID-related properties, many Web controls in ASP.NET 4.0 include properties that allow the page developer to instruct the control to not emit extraneous markup, or to use an HTML element other than <table>. This article explores a number of enhancements made to the data Web controls in ASP.NET 4.0. As you'll see, most of these enhancements give the developer greater control over the rendered markup. Read on to learn more! Read More >Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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Data Web Controls Enhancements in ASP.NET 4.0

Traditionally, developers using Web controls enjoyed increased productivity but at the cost of control over the rendered markup. For instance, many ASP.NET controls automatically wrap their content in <table> for layout or styling purposes. This behavior runs counter to the web standards that have evolved over the past several years, which favor cleaner, terser HTML; sparing use of tables; and Cascading Style Sheets (CSS) for layout and styling. Furthermore, the <table> elements and other automatically-added content makes it harder to both style the Web controls using CSS and to work with the controls from client-side script. One of the aims of ASP.NET version 4.0 is to give Web Form developers greater control over the markup rendered by Web controls. Last week's article, Take Control Of Web Control ClientID Values in ASP.NET 4.0, highlighted how new properties in ASP.NET 4.0 give the developer more say over how a Web control's ID property is translated into a client-side id attribute. In addition to these ClientID-related properties, many Web controls in ASP.NET 4.0 include properties that allow the page developer to instruct the control to not emit extraneous markup, or to use an HTML element other than <table>. This article explores a number of enhancements made to the data Web controls in ASP.NET 4.0. As you'll see, most of these enhancements give the developer greater control over the rendered markup. Read on to learn more! Read More >

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Creating a Dynamic DataRow for easier DataRow Syntax

- by Rick Strahl

I've been thrown back into an older project that uses DataSets and DataRows as their entity storage model. I have several applications internally that I still maintain that run just fine (and I sometimes wonder if this wasn't easier than all this ORM crap we deal with with 'newer' improved technology today - but I disgress) but use this older code. For the most part DataSets/DataTables/DataRows are abstracted away in a pseudo entity model, but in some situations like queries DataTables and DataRows are still surfaced to the business layer. Here's an example. Here's a business object method that runs dynamic query and the code ends up looping over the result set using the ugly DataRow Array syntax:public int UpdateAllSafeTitles() { int result = this.Execute("select pk, title, safetitle from " + Tablename + " where EntryType=1", "TPks"); if (result < 0) return result; result = 0; foreach (DataRow row in this.DataSet.Tables["TPks"].Rows) { string title = row["title"] as string; string safeTitle = row["safeTitle"] as string; int pk = (int)row["pk"]; string newSafeTitle = this.GetSafeTitle(title); if (newSafeTitle != safeTitle) { this.ExecuteNonQuery("update " + this.Tablename + " set safeTitle=@safeTitle where pk=@pk", this.CreateParameter("@safeTitle",newSafeTitle), this.CreateParameter("@pk",pk) ); result++; } } return result; } The problem with looping over DataRow objecs is two fold: The array syntax is tedious to type and not real clear to look at, and explicit casting is required in order to do anything useful with the values. I've highlighted the place where this matters. Using the DynamicDataRow class I'll show in a minute this code can be changed to look like this:public int UpdateAllSafeTitles() { int result = this.Execute("select pk, title, safetitle from " + Tablename + " where EntryType=1", "TPks"); if (result < 0) return result; result = 0; foreach (DataRow row in this.DataSet.Tables["TPks"].Rows) { dynamic entry = new DynamicDataRow(row); string newSafeTitle = this.GetSafeTitle(entry.title); if (newSafeTitle != entry.safeTitle) { this.ExecuteNonQuery("update " + this.Tablename + " set safeTitle=@safeTitle where pk=@pk", this.CreateParameter("@safeTitle",newSafeTitle), this.CreateParameter("@pk",entry.pk) ); result++; } } return result; } The code looks much a bit more natural and describes what's happening a little nicer as well. Well, using the new dynamic features in .NET it's actually quite easy to implement the DynamicDataRow class. Creating your own custom Dynamic Objects .NET 4.0 introduced the Dynamic Language Runtime (DLR) and opened up a whole bunch of new capabilities for .NET applications. The dynamic type is an easy way to avoid Reflection and directly access members of 'dynamic' or 'late bound' objects at runtime. There's a lot of very subtle but extremely useful stuff that dynamic does (especially for COM Interop scenearios) but in its simplest form it often allows you to do away with manual Reflection at runtime. In addition you can create DynamicObject implementations that can perform custom interception of member accesses and so allow you to provide more natural access to more complex or awkward data structures like the DataRow that I use as an example here. Bascially you can subclass DynamicObject and then implement a few methods (TryGetMember, TrySetMember, TryInvokeMember) to provide the ability to return dynamic results from just about any data structure using simple property/method access. In the code above, I created a custom DynamicDataRow class which inherits from DynamicObject and implements only TryGetMember and TrySetMember. Here's what simple class looks like:/// <summary> /// This class provides an easy way to turn a DataRow /// into a Dynamic object that supports direct property /// access to the DataRow fields. /// /// The class also automatically fixes up DbNull values /// (null into .NET and DbNUll to DataRow) /// </summary> public class DynamicDataRow : DynamicObject { /// <summary> /// Instance of object passed in /// </summary> DataRow DataRow; /// <summary> /// Pass in a DataRow to work off /// </summary> /// <param name="instance"></param> public DynamicDataRow(DataRow dataRow) { DataRow = dataRow; } /// <summary> /// Returns a value from a DataRow items array. /// If the field doesn't exist null is returned. /// DbNull values are turned into .NET nulls. /// /// </summary> /// <param name="binder"></param> /// <param name="result"></param> /// <returns></returns> public override bool TryGetMember(GetMemberBinder binder, out object result) { result = null; try { result = DataRow[binder.Name]; if (result == DBNull.Value) result = null; return true; } catch { } result = null; return false; } /// <summary> /// Property setter implementation tries to retrieve value from instance /// first then into this object /// </summary> /// <param name="binder"></param> /// <param name="value"></param> /// <returns></returns> public override bool TrySetMember(SetMemberBinder binder, object value) { try { if (value == null) value = DBNull.Value; DataRow[binder.Name] = value; return true; } catch {} return false; } } To demonstrate the basic features here's a short test: [TestMethod] [ExpectedException(typeof(RuntimeBinderException))] public void BasicDataRowTests() { DataTable table = new DataTable("table"); table.Columns.Add( new DataColumn() { ColumnName = "Name", DataType=typeof(string) }); table.Columns.Add( new DataColumn() { ColumnName = "Entered", DataType=typeof(DateTime) }); table.Columns.Add(new DataColumn() { ColumnName = "NullValue", DataType = typeof(string) }); DataRow row = table.NewRow(); DateTime now = DateTime.Now; row["Name"] = "Rick"; row["Entered"] = now; row["NullValue"] = null; // converted in DbNull dynamic drow = new DynamicDataRow(row); string name = drow.Name; DateTime entered = drow.Entered; string nulled = drow.NullValue; Assert.AreEqual(name, "Rick"); Assert.AreEqual(entered,now); Assert.IsNull(nulled); // this should throw a RuntimeBinderException Assert.AreEqual(entered,drow.enteredd); } The DynamicDataRow requires a custom constructor that accepts a single parameter that sets the DataRow. Once that's done you can access property values that match the field names. Note that types are automatically converted - no type casting is needed in the code you write. The class also automatically converts DbNulls to regular nulls and vice versa which is something that makes it much easier to deal with data returned from a database. What's cool here isn't so much the functionality - even if I'd prefer to leave DataRow behind ASAP - but the fact that we can create a dynamic type that uses a DataRow as it's 'DataSource' to serve member values. It's pretty useful feature if you think about it, especially given how little code it takes to implement. By implementing these two simple methods we get to provide two features I was complaining about at the beginning that are missing from the DataRow: Direct Property Syntax Automatic Type Casting so no explicit casts are required Caveats As cool and easy as this functionality is, it's important to understand that it doesn't come for free. The dynamic features in .NET are - well - dynamic. Which means they are essentially evaluated at runtime (late bound). Rather than static typing where everything is compiled and linked by the compiler/linker, member invokations are looked up at runtime and essentially call into your custom code. There's some overhead in this. Direct invocations - the original code I showed - is going to be faster than the equivalent dynamic code. However, in the above code the difference of running the dynamic code and the original data access code was very minor. The loop running over 1500 result records took on average 13ms with the original code and 14ms with the dynamic code. Not exactly a serious performance bottleneck. One thing to remember is that Microsoft optimized the DLR code significantly so that repeated calls to the same operations are routed very efficiently which actually makes for very fast evaluation. The bottom line for performance with dynamic code is: Make sure you test and profile your code if you think that there might be a performance issue. However, in my experience with dynamic types so far performance is pretty good for repeated operations (ie. in loops). While usually a little slower the perf hit is a lot less typically than equivalent Reflection work. Although the code in the second example looks like standard object syntax, dynamic is not static code. It's evaluated at runtime and so there's no type recognition until runtime. This means no Intellisense at development time, and any invalid references that call into 'properties' (ie. fields in the DataRow) that don't exist still cause runtime errors. So in the case of the data row you still get a runtime error if you mistype a column name:// this should throw a RuntimeBinderException Assert.AreEqual(entered,drow.enteredd); Dynamic - Lots of uses The arrival of Dynamic types in .NET has been met with mixed emotions. Die hard .NET developers decry dynamic types as an abomination to the language. After all what dynamic accomplishes goes against all that a static language is supposed to provide. On the other hand there are clearly scenarios when dynamic can make life much easier (COM Interop being one place). Think of the possibilities. What other data structures would you like to expose to a simple property interface rather than some sort of collection or dictionary? And beyond what I showed here you can also implement 'Method missing' behavior on objects with InvokeMember which essentially allows you to create dynamic methods. It's all very flexible and maybe just as important: It's easy to do. There's a lot of power hidden in this seemingly simple interface. Your move…© Rick Strahl, West Wind Technologies, 2005-2011Posted in CSharp .NET Tweet (function() { var po = document.createElement('script'); po.type = 'text/javascript'; po.async = true; po.src = 'https://apis.google.com/js/plusone.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(po, s); })();

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SQL – NuoDB and Third Party Explorer – SQuirreL SQL Client, SQL Workbench/J and DbVisualizer

- by Pinal Dave

I recently wrote a four-part series on how I started to learn about and begin my journey with NuoDB. Big Data is indeed a big world and the learning of the Big Data is like spaghetti – no one knows in reality where to start, so I decided to learn it with the help of NuoDB. You can download NuoDB and continue your journey with me as well. Part 1 – Install NuoDB in 90 Seconds Part 2 – Manage NuoDB Installation Part 3 – Explore NuoDB Database Part 4 – Migrate from SQL Server to NuoDB …and in this blog post we will try to answer the most asked question about NuoDB. “I like the NuoDB Explorer but can I connect to NuoDB from my preferred Graphical User Interface?” Honestly, I did not expect this question to be asked of me so many times but from the question it is clear that we developers absolutely want to learn new things and along with that we do want to continue to use our most efficient developer tools. Now here is the answer to the question: “Absolutely, you can continue to use any of the following most popular SQL clients.” NuoDB supports the three most popular 3rd-party SQL clients. In all the leading development environments there are always more than one database installed and managing each of them with a different tool is often a very difficult task. Developers like to use one tool, which can control most of the databases. Once developers are familiar with one database tool it is very difficult for them to switch to another tool. This is particularly difficult when we developers find that tool to be the key reason for our efficiency. Let us see how to install each of the NuoDB supported 3rd party tools along with a quick tutorial on how to go about using them. SQuirreL SQL Client First download SQuirreL Universal SQL client. On the Windows platform you can double-click on the file and it will install the SQuirrel client. Once it is installed, open the application and it will bring up the following screen. Now go to the Drivers tab on the left side and scroll it down. You will find NuoDB mentioned there. Now right click over it and click on Modify Driver. Now here is where you need to make sure that you make proper entries or your client will not work with the database. Enter following values: Name: NuoDB Example URL: jdbc:com:nuodb://localhost:48004/test Website URL: http://www.nuodb.com Now click on the Extra Class Path tab and Add the location of the nuodbjdbc.jar file. If you are following my blog posts and have installed NuoDB in the default location, you will find the default path as C:\Program Files\NuoDB\jar\nuodbjdbc.jar. The class name of the driver is automatically populated. Once you click OK you will see that there is a small icon displayed to the left of NuoDB, which shows that you have successfully configured and installed the NuoDB driver. Now click on the tab of Alias tab and you can notice that it is empty. Now click on the big Plus icon and it will open screen of adding an alias. “Alias” means nothing more than adding a database to your system. The database name of the original installation can be anything and, if you wish, you can register the database with any other alternative name. Here are the details you should fill into the Alias screen below. Name: Test (or your preferred alias) Driver: NuoDB URL: jdbc:com:nuodb://localhost:48004/test (This is for test database) User Name: dba (This is the username which I entered for test Database) Password: goalie (This is the password which I entered for test Database) Check Auto Logon and Connect at Startup and click on OK. That’s it! You are done. On the right side you will see a table name and on the left side you will see various tabs with all the relevant details from respective table. You can see various metadata, schemas, data types and other information in the table. In addition, you can also generate script and do various important tasks related to database. You can see how easy it is to configure NuoDB with the SQuirreL Client and get going with it immediately. SQL Workbench/J This is another wonderful client tool, which works very well with NuoDB. The best part is that in the Driver dropdown you will see NuoDB being mentioned there. Click here to download SQL Workbench/J Universal SQL client. The download process is straight forward and the installation is a very easy process for SQL Workbench/J. As soon as you open the client, you will notice on following screen the NuoDB driver when selecting a New Connection Profile. Select NuoDB from the drop down and click on OK. In the driver information, enter following details: Driver: NuoDB (com.nuodb.jdbc.Driver) URL: jdbc:com.nuodb://localhost/test Username: dba Password: goalie While clicking on OK, it will bring up the following pop-up. Click Yes to edit the driver information. Click on OK and it will bring you to following screen. This is the screen where you can perform various tasks. You can write any SQL query you want and it will instantly show you the results. Now click on the database icon, which you see right on the left side of the word User=dba. Once you click on Database Explorer, you can perform various database related tasks. As a developer, one of my favorite tasks is to look at the source of the table as it gives me a proper view of the structure of the database. I find SQL Workbench/J very efficient in doing the same. DbVisualizer DBVisualizer is another great tool, which helps you to connect to NuoDB and retrieve database information in your desired format. A developer who is familiar with DBVisualizer will find this client to be very easy to work with. The installation of the DBVisualizer is very pretty straight forward. When we open the client, it will bring us to the following screen. As a first step we need to set up the driver. Go to Tools >> Driver Manager. It will bring up following screen where we set up the diver. Click on Create Driver and it will open up the driver settings on the right side. On the right side of the area where it displays Driver Settings please enter the following values- Name: NuoDB URL Format: jdbc:com.nuodb://localhost:48004/test Now under the driver path, click on the folder icon and it will ask for the location of the jar file. Provide the path as a C:\Program Files\NuoDB\jar\nuodbjdbc.jar and click OK. You will notice there is a green button displayed at the bottom right corner. This means the driver is configured properly. Once driver is configured properly, we can go to Create Database Connection and create a database. If the pop up show up for the Wizard. Click on No Wizard and continue to enter the settings manually. Here is the Database Connection screen. This screen can be bit tricky. Here are the settings you need to remember to enter. Name: NuoDB Database Type: Generic Driver: NuoDB Database URL: jdbc:com.nuodb://localhost:48004/test Database Userid: dba Database Password: goalie Once you enter the values, click on Connect. Once Connect is pressed, it will change the button value to Reconnect if the connection is successfully established and it will show the connection details on lthe eft side. When we further explore the NuoDB, we can see various tables created in our test application. We can further click on the right side screen and see various details on the table. If you click on the Data Tab, it will display the entire data of the table. The Tools menu also has some very interesting and cool features like Driver Manager, Data Monitor and SQL History. Summary Well, this was a relatively long post but I find it is extremely essential to cover all the three important clients, which we developers use in our daily database development. Here is my question to you? Which one of the following is your favorite NuoDB 3rd-Party Database Client? (Pick One) SQuirreL SQL Client SQL Workbench/J DbVisualizer I will be very much eager to read your experience about NuoDB. You can download NuoDB from here. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: NuoDB

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Optimize SUMMARIZE with ADDCOLUMNS in Dax #ssas #tabular #dax #powerpivot

- by Marco Russo (SQLBI)

If you started using DAX as a query language, you might have encountered some performance issues by using SUMMARIZE. The problem is related to the calculation you put in the SUMMARIZE, by adding what are called extension columns, which compute their value within a filter context defined by the rows considered in the group that the SUMMARIZE uses to produce each row in the output. Most of the time, for simple table expressions used in the first parameter of SUMMARIZE, you can optimize performance by removing the extended columns from the SUMMARIZE and adding them by using an ADDCOLUMNS function. In practice, instead of writing SUMMARIZE( <table>, <group_by_column>, <column_name>, <expression> ) you can write: ADDCOLUMNS( SUMMARIZE( <table>, <group by column> ), <column_name>, CALCULATE( <expression> ) ) The performance difference might be huge (orders of magnitude) but this optimization might produce a different semantic and in these cases it should not be used. A longer discussion of this topic is included in my Best Practices Using SUMMARIZE and ADDCOLUMNS article on SQLBI, which also include several details about the DAX syntax with extended columns. For example, did you know that you can create an extended column in SUMMARIZE and ADDCOLUMNS with the same name of existing measures? It is *not* a good thing to do, and by reading the article you will discover why. Enjoy DAX!

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SQL SERVER – Effect of Collation on Resultset – SQL in Sixty Seconds #026 – Video

- by pinaldave

Collation is a very important concept but often ignored. I have often seen developers either not understanding this or ignored it – this is plain wrong. In simple word we can say Collation is the language or interpreting done by SQL Server. Well, in today’s SQL in Sixty Seconds we are going to observe how collation affects the resultset. Today’s blog post is inspired from my earlier blog post SQL SERVER – Effect of Case Sensitive Collation on Resultset. I strongly encourage you to read this earlier blog post for sample code as well additional explanation related to the concept shared in today’s SQL in Sixty Seconds. Here is the code used in the video. USE TempDB GO -- Sample Data Building CREATE TABLE ColTable (Col1 VARCHAR(15) COLLATE Latin1_General_CI_AS, Col2 VARCHAR(14) COLLATE Latin1_General_CS_AS) ; INSERT ColTable(Col1, Col2) VALUES ('Apple','Apple'), ('apple','apple'), ('pineapple','pineapple'), ('Pineapple','Pineapple'); GO -- Retrieve Data SELECT * FROM ColTable GO -- Retrieve Data SELECT * FROM ColTable ORDER BY Col1 GO -- Retrieve Data SELECT * FROM ColTable ORDER BY Col2 GO -- Clean up DROP TABLE ColTable GO Related Tips in SQL in Sixty Seconds: SQL SERVER – Effect of Case Sensitive Collation on Resultset Example of Width Sensitive and Width Insensitive Collation Collation and Collation Sensitivity – Quiz – Puzzle – 6 of 31 Change Collation of Database Column – T-SQL Script Find Collation of Database and Table Column Using T-SQL Default Collation of SQL Server 2008 Cannot resolve collation conflict for equal to operation If we like your idea we promise to share with you educational material. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Database, Pinal Dave, PostADay, SQL, SQL Authority, SQL in Sixty Seconds, SQL Query, SQL Scripts, SQL Server, SQL Server Management Studio, SQL Tips and Tricks, T SQL, Technology, Video

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Visual Studio 2010 and SQLCLR: Some Good, Some Bad

- by Adam Machanic

This past week I've been trying out Visual Studio 2010 for SQLCLR development. Verdict: A couple of nice things, a couple not so nice. In the interest of keeping things somewhat positive around here, we'll start with the good stuff : Pre-deployment and post-deployment scripts are built in. This is great, especially if you're working with features such as ordered TVFs, which Visual Studio 2008 never properly supported. In 2010 you can stick the ALTER FUNCTION in a post-deployment script and you'll...(read more)

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Benchmarking MySQL on win7

- by Patrick

I've setup a nginx server running php 5.3.6 and mysql 5.5.1.3. My computer is an AMD quadcore 9650, 4gb ram, 500gb 7200rpm HD. I ran the PHP MySQL Benchmark Tool v. 0.1, and got the following results: Testing a(n) MYISAM table using 100000 rows. Successfully created database speedtestdb Sucessfully created table speedtesttable Table Type Verified: MYISAM .. Done. 100000 inserts in 19.73628 seconds or 5067 inserts per second. Done. 100000 row reads in 0.2801 seconds or 357015 row reads per second. Done. 100000 updates in 4.03876 seconds or 24760 updates per second. I'm wondering where this stands as far as performance goes, and what are some steps I can take if any to improve on this. I'm not trying to make anything fantastic, just getting a feel for how to best optimize a web server in this configuration.

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How can I create a 4TB partition on my software RAID5 device?

- by Kris Harper

I have set up a RAID5 device with three 2TB hard drives using mdadm. The device was successfully created, but I cannot seem to create a partition on the device. When I try to make an ext3 or ext4 partition via Disk Utility, I get the following error Error creating partition: helper exited with exit code 1: In part_add_partition: device_file=/dev/md0, start=0, size=4000526106624, type= Entering MS-DOS parser (offset=0, size=4000526106624) MSDOS_MAGIC found found partition type 0xee => protective MBR for GPT Exiting MS-DOS parser Entering EFI GPT parser GPT magic found partition_entry_lba=2 num_entries=128 size_of_entry=128 Leaving EFI GPT parser EFI GPT partition table detected containing partition table scheme = 3 got it got disk new partition guid '' is not valid type '' for GPT appear to be malformed I have seen this question, but that seems to suggest using gparted to do the partitioning. I'm fine with doing that, but my RAID device doesn't show up in the list of gparted devices. I suspect because this is a RAID and not a regular disk. I have already created a GPT partition table on the device. How can I add a partition to my device?

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Fragmented Log files could be slowing down your database

- by Fatherjack

Something that is sometimes forgotten by a lot of DBAs is the fact that database log files get fragmented in the same way that you get fragmentation in a data file. The cause is very different but the effect is the same – too much effort reading and writing data. Data files get fragmented as data is changed through normal system activity, INSERTs, UPDATEs and DELETEs cause fragmentation and most experienced DBAs are monitoring their indexes for fragmentation and dealing with it accordingly. However, you don’t hear about so many working on their log files. How can a log file get fragmented? I’m glad you asked. When you create a database there are at least two files created on the disk storage; an mdf for the data and an ldf for the log file (you can also have ndf files for extra data storage but that’s off topic for now). It is wholly possible to have more than one log file but in most cases there is little point in creating more than one as the log file is written to in a ‘wrap-around’ method (more on that later). When a log file is created at the time that a database is created the file is actually sub divided into a number of virtual log files (VLFs). The number and size of these VLFs depends on the size chosen for the log file. VLFs are also created in the space added to a log file when a log file growth event takes place. Do you have your log files set to auto grow? Then you have potentially been introducing many VLFs into your log file. Let’s get to see how many VLFs we have in a brand new database. USE master GO CREATE DATABASE VLF_Test ON ( NAME = VLF_Test, FILENAME = 'C:\Program Files\Microsoft SQL Server\MSSQL10.ROCK_2008\MSSQL\DATA\VLF_Test.mdf', SIZE = 100, MAXSIZE = 500, FILEGROWTH = 50 ) LOG ON ( NAME = VLF_Test_Log, FILENAME = 'C:\Program Files\Microsoft SQL Server\MSSQL10.ROCK_2008\MSSQL\DATA\VLF_Test_log.ldf', SIZE = 5MB, MAXSIZE = 250MB, FILEGROWTH = 5MB ); go USE VLF_Test go DBCC LOGINFO; The results of this are firstly a new database is created with specified files sizes and the the DBCC LOGINFO results are returned to the script editor. The DBCC LOGINFO results have plenty of interesting information in them but lets first note there are 4 rows of information, this relates to the fact that 4 VLFs have been created in the log file. The values in the FileSize column are the sizes of each VLF in bytes, you will see that the last one to be created is slightly larger than the others. So, a 5MB log file has 4 VLFs of roughly 1.25 MB. Lets alter the CREATE DATABASE script to create a log file that’s a bit bigger and see what happens. Alter the code above so that the log file details are replaced by LOG ON ( NAME = VLF_Test_Log, FILENAME = 'C:\Program Files\Microsoft SQL Server\MSSQL10.ROCK_2008\MSSQL\DATA\VLF_Test_log.ldf', SIZE = 1GB, MAXSIZE = 25GB, FILEGROWTH = 1GB ); With a bigger log file specified we get more VLFs What if we make it bigger again? LOG ON ( NAME = VLF_Test_Log, FILENAME = 'C:\Program Files\Microsoft SQL Server\MSSQL10.ROCK_2008\MSSQL\DATA\VLF_Test_log.ldf', SIZE = 5GB, MAXSIZE = 250GB, FILEGROWTH = 5GB ); This time we see more VLFs are created within our log file. We now have our 5GB log file comprised of 16 files of 320MB each. In fact these sizes fall into all the ranges that control the VLF creation criteria – what a coincidence! The rules that are followed when a log file is created or has it’s size increased are pretty basic. If the file growth is lower than 64MB then 4 VLFs are created If the growth is between 64MB and 1GB then 8 VLFs are created If the growth is greater than 1GB then 16 VLFs are created. Now the potential for chaos comes if the default values and settings for log file growth are used. By default a database log file gets a 1MB log file with unlimited growth in steps of 10%. The database we just created is 6 MB, let’s add some data and see what happens. USE vlf_test go -- we need somewhere to put the data so, a table is in order IF OBJECT_ID('A_Table') IS NOT NULL DROP TABLE A_Table go CREATE TABLE A_Table ( Col_A int IDENTITY, Col_B CHAR(8000) ) GO -- Let's check the state of the log file -- 4 VLFs found EXECUTE ('DBCC LOGINFO'); go -- We can go ahead and insert some data and then check the state of the log file again INSERT A_Table (col_b) SELECT TOP 500 REPLICATE('a',2000) FROM sys.columns AS sc, sys.columns AS sc2 GO -- insert 500 rows and we get 22 VLFs EXECUTE ('DBCC LOGINFO'); go -- Let's insert more rows INSERT A_Table (col_b) SELECT TOP 2000 REPLICATE('a',2000) FROM sys.columns AS sc, sys.columns AS sc2 GO 10 -- insert 2000 rows, in 10 batches and we suddenly have 107 VLFs EXECUTE ('DBCC LOGINFO'); Well, that escalated quickly! Our log file is split, internally, into 107 fragments after a few thousand inserts. The same happens with any logged transactions, I just chose to illustrate this with INSERTs. Having too many VLFs can cause performance degradation at times of database start up, log backup and log restore operations so it’s well worth keeping a check on this property. How do we prevent excessive VLF creation? Creating the database with larger files and also with larger growth steps and actively choosing to grow your databases rather than leaving it to the Auto Grow event can make sure that the growths are made with a size that is optimal. How do we resolve a situation of a database with too many VLFs? This process needs to be done when the database is under little or no stress so that you don’t affect system users. The steps are: BACKUP LOG YourDBName TO YourBackupDestinationOfChoice Shrink the log file to its smallest possible size DBCC SHRINKFILE(FileNameOfTLogHere, TRUNCATEONLY) * Re-size the log file to the size you want it to, taking in to account your expected needs for the coming months or year. ALTER DATABASE YourDBName MODIFY FILE ( NAME = FileNameOfTLogHere, SIZE = TheSizeYouWantItToBeIn_MB) * – If you don’t know the file name of your log file then run sp_helpfile while you are connected to the database that you want to work on and you will get the details you need. The resize step can take quite a while This is already detailed far better than I can explain it by Kimberley Tripp in her blog 8-Steps-to-better-Transaction-Log-throughput.aspx. The result of this will be a log file with a VLF count according to the bullet list above. Knowing when VLFs are being created By complete coincidence while I have been writing this blog (it’s been quite some time from it’s inception to going live) Jonathan Kehayias from SQLSkills.com has written a great article on how to track database file growth using Event Notifications and Service Broker. I strongly recommend taking a look at it as this is going to catch any sneaky auto grows that take place and let you know about them right away. Hassle free monitoring of VLFs If you are lucky or wise enough to be using SQL Monitor or another monitoring tool that let’s you write your own custom metrics then you can keep an eye on this very easily. There is a custom metric for VLFs (written by Stuart Ainsworth) already on the site and there are some others there are very useful so take a moment or two to look around while you are there. Resources MSDN – http://msdn.microsoft.com/en-us/library/ms179355(v=sql.105).aspx Kimberly Tripp from SQLSkills.com – http://www.sqlskills.com/BLOGS/KIMBERLY/post/8-Steps-to-better-Transaction-Log-throughput.aspx Thomas LaRock at Simple-Talk.com – http://www.simple-talk.com/sql/database-administration/monitoring-sql-server-virtual-log-file-fragmentation/ Disclosure I am a Friend of Red Gate. This means that I am more than likely to say good things about Red Gate DBA and Developer tools. No matter how awesome I make them sound, take the time to compare them with other products before you contact the Red Gate sales team to make your order.

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Examining ASP.NET's Membership, Roles, and Profile - Part 18

Membership, in a nutshell, is a framework build into the .NET Framework that supports creating, authenticating, deleting, and modifying user account information. Each user account has a set of core properties: username, password, email, a security question and answer, whether or not the account has been approved, whether or not the user is locked out of the system, and so on. These user-specific properties are certainly helpful, but they're hardly exhaustive - it's not uncommon for an application to need to track additional user-specific properties. For example, an online messageboard site might want to also also associate a signature, homepage URL, and IM address with each user account. There are two ways to associate additional information with user accounts when using the Membership model. The first - which affords the greatest flexibility, but requires the most upfront effort - is to create a custom data store for this information. If you are using the SqlMembershipProvider, this would mean creating an additional database table that had as a primary key the UserId value from the aspnet_Users table and columns for each of the additional user properties. The second option is to use the Profile system, which allows additional user-specific properties to be defined in a configuration file. (See Part 6 for an in-depth look at the Profile system.) This article explores how to store additional user information in a separate database table. We'll see how to allow a signed in user to update these additional user-specific properties and how to create a page to display information about a selected user. What's more, we'll look at using ASP.NET Routing to display user information using an SEO-friendly, human-readable URL like www.yoursite.com/Users/username. Read on to learn more! Read More >

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SQL SERVER – 2011 – Introduction to SEQUENCE – Simple Example of SEQUENCE

- by pinaldave

SQL Server 2011 will contain one of the very interesting feature called SEQUENCE. I have waited for this feature for really long time. I am glad it is here finally. SEQUENCE allows you to define a single point of repository where SQL Server will maintain in memory counter. USE AdventureWorks2008R2 GO CREATE SEQUENCE [Seq] AS [int] START WITH 1 INCREMENT BY 1 MAXVALUE 20000 GO SEQUENCE is very interesting concept and I will write few blog post on this subject in future. Today we will see only working example of the same. Let us create a sequence. We can specify various values like start value, increment value as well maxvalue. -- First Run SELECT NEXT VALUE FOR Seq, c.CustomerID FROM Sales.Customer c GO -- Second Run SELECT NEXT VALUE FOR Seq, c.AccountNumber FROM Sales.Customer c GO Once the sequence is defined, it can be fetched using following method. Every single time new incremental value is provided, irrespective of sessions. Sequence will generate values till the max value specified. Once the max value is reached, query will stop and will return error message. Msg 11728, Level 16, State 1, Line 2 The sequence object ‘Seq’ has reached its minimum or maximum value. Restart the sequence object to allow new values to be generated. We can restart the sequence from any particular value and it will work fine. -- Restart the Sequence ALTER SEQUENCE [Seq] RESTART WITH 1 GO -- Sequence Restarted SELECT NEXT VALUE FOR Seq, c.CustomerID FROM Sales.Customer c GO Let us do final clean up. -- Clean Up DROP SEQUENCE [Seq] GO There are lots of things one can find useful about this feature. We will see that in future posts. Here is the complete code for easy reference. USE AdventureWorks2008R2 GO CREATE SEQUENCE [Seq] AS [int] START WITH 1 INCREMENT BY 1 MAXVALUE 20000 GO -- First Run SELECT NEXT VALUE FOR Seq, c.CustomerID FROM Sales.Customer c GO -- Second Run SELECT NEXT VALUE FOR Seq, c.AccountNumber FROM Sales.Customer c GO -- Restart the Sequence ALTER SEQUENCE [Seq] RESTART WITH 1 GO -- Sequence Restarted SELECT NEXT VALUE FOR Seq, c.CustomerID FROM Sales.Customer c GO -- Clean Up DROP SEQUENCE [Seq] GO Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQLServer, T SQL, Technology

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SQL SERVER – How to Set Variable and Use Variable in SQLCMD Mode

- by Pinal Dave

Here is the question which I received the other day on SQLAuthority Facebook page. Social media is a wonderful thing and I love the active conversation between blog readers and myself – actually I think social media adds lots of human factor to any conversation. Here is the question - “I am using sqlcmd in SSMS – I am not sure how to declare variable and pass it, for example I have a database and it has table, how can I make the table variable dynamic and pass different value everytime?” Fantastic question, and here is its very simple answer. First of all, enable sqlcmd mode in SQL Server Management Studio as described in following image. Now in query editor type following SQL. :SETVAR DatabaseName “AdventureWorks2012″ :SETVAR SchemaName “Person” :SETVAR TableName “EmailAddress“ USE $(DatabaseName); SELECT * FROM $(SchemaName).$(TableName); Note that I have set the value of the database, schema and table as a sqlcmd variable and I am executing the query using the same parameters. Well, that was it, sqlcmd is a very simple language to master and it also aids in doing various tasks easily. If you have any other sqlcmd tips, please leave a comment and I will publish it with due credit. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Server Management Studio, SQL Tips and Tricks, T SQL, Technology Tagged: sqlcmd

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Identity Claims Encoding for SharePoint

- by Shawn Cicoria

Just to remind myself, the list of claim types and their encodings are listed here at the bottom. http://msdn.microsoft.com/en-us/library/gg481769.aspx Where for example: i:0#.w|contoso\scicoria ‘i’ = identity, could be ‘c’ for others # == SPClaimTypes.UserLogonName . == Microsoft.IdentityModel.Claims.ClaimValueTypes.String Table for reference: Table 1. Claim types encoding Character Claim Type ! SPClaimTypes.IdentityProvider ” SPClaimTypes.UserIdentifier # SPClaimTypes.UserLogonName $ SPClaimTypes.DistributionListClaimType % SPClaimTypes.FarmId & SPClaimTypes.ProcessIdentitySID ‘ SPClaimTypes.ProcessIdentityLogonName ( SPClaimTypes.IsAuthenticated ) Microsoft.IdentityModel.Claims.ClaimTypes.PrimarySid * Microsoft.IdentityModel.Claims.ClaimTypes.PrimaryGroupSid + Microsoft.IdentityModel.Claims.ClaimTypes.GroupSid - Microsoft.IdentityModel.Claims.ClaimTypes.Role . System.IdentityModel.Claims.ClaimTypes.Anonymous / System.IdentityModel.Claims.ClaimTypes.Authentication 0 System.IdentityModel.Claims.ClaimTypes.AuthorizationDecision 1 System.IdentityModel.Claims.ClaimTypes.Country 2 System.IdentityModel.Claims.ClaimTypes.DateOfBirth 3 System.IdentityModel.Claims.ClaimTypes.DenyOnlySid 4 System.IdentityModel.Claims.ClaimTypes.Dns 5 System.IdentityModel.Claims.ClaimTypes.Email 6 System.IdentityModel.Claims.ClaimTypes.Gender 7 System.IdentityModel.Claims.ClaimTypes.GivenName 8 System.IdentityModel.Claims.ClaimTypes.Hash 9 System.IdentityModel.Claims.ClaimTypes.HomePhone < System.IdentityModel.Claims.ClaimTypes.Locality = System.IdentityModel.Claims.ClaimTypes.MobilePhone > System.IdentityModel.Claims.ClaimTypes.Name ? System.IdentityModel.Claims.ClaimTypes.NameIdentifier @ System.IdentityModel.Claims.ClaimTypes.OtherPhone [ System.IdentityModel.Claims.ClaimTypes.PostalCode \ System.IdentityModel.Claims.ClaimTypes.PPID ] System.IdentityModel.Claims.ClaimTypes.Rsa ^ System.IdentityModel.Claims.ClaimTypes.Sid _ System.IdentityModel.Claims.ClaimTypes.Spn ` System.IdentityModel.Claims.ClaimTypes.StateOrProvince a System.IdentityModel.Claims.ClaimTypes.StreetAddress b System.IdentityModel.Claims.ClaimTypes.Surname c System.IdentityModel.Claims.ClaimTypes.System d System.IdentityModel.Claims.ClaimTypes.Thumbprint e System.IdentityModel.Claims.ClaimTypes.Upn f System.IdentityModel.Claims.ClaimTypes.Uri g System.IdentityModel.Claims.ClaimTypes.Webpage Table 2. Claim value types encoding Character Claim Type ! Microsoft.IdentityModel.Claims.ClaimValueTypes.Base64Binary “ Microsoft.IdentityModel.Claims.ClaimValueTypes.Boolean # Microsoft.IdentityModel.Claims.ClaimValueTypes.Date $ Microsoft.IdentityModel.Claims.ClaimValueTypes.Datetime % Microsoft.IdentityModel.Claims.ClaimValueTypes.DaytimeDuration & Microsoft.IdentityModel.Claims.ClaimValueTypes.Double ‘ Microsoft.IdentityModel.Claims.ClaimValueTypes.DsaKeyValue ( Microsoft.IdentityModel.Claims.ClaimValueTypes.HexBinary ) Microsoft.IdentityModel.Claims.ClaimValueTypes.Integer * Microsoft.IdentityModel.Claims.ClaimValueTypes.KeyInfo + Microsoft.IdentityModel.Claims.ClaimValueTypes.Rfc822Name - Microsoft.IdentityModel.Claims.ClaimValueTypes.RsaKeyValue . Microsoft.IdentityModel.Claims.ClaimValueTypes.String / Microsoft.IdentityModel.Claims.ClaimValueTypes.Time 0 Microsoft.IdentityModel.Claims.ClaimValueTypes.X500Name 1 Microsoft.IdentityModel.Claims.ClaimValueTypes.YearMonthDuration

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Automatic Standby Recreation for Data Guard

- by pablo.boixeda(at)oracle.com

Hi,Unfortunately sometimes a Standby Instance needs to be recreated. This can happen for many reasons such as lost archive logs, standby data files, failover, among others.This is why we wanted to have one script to recreate standby instances in an easy way.This script recreates the standby considering some prereqs:-Database Version should be at least 11gR1-Dummy instance started on the standby node (Seeking to improve this so it won't be needed)-Broker configuration hasn't been removed-In our case we have two TNSNAMES files, one for the Standby creation (using SID) and the other one for production using service names (including broker service name)-Some environment variables set up by the environment db script (like ORACLE_HOME, PATH...)-The directory tree should not have been modified in the stanby hostWe are currently using it on our 11gR2 Data Guard tests.Any improvements will be welcome! Normal 0 21 false false false ES X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} #!/bin/ksh ### NOMBRE / VERSION ### recrea_dg.sh v.1.00 ### ### DESCRIPCION ### reacreacion de la Standby ### ### DEVUELVE ### 0 Creacion de STANDBY correcta ### 1 Fallo ### ### NOTAS ### Este shell script NO DEBE MODIFICARSE. ### Todas las variables y constantes necesarias se toman del entorno. ### ### MODIFICADO POR: FECHA: COMENTARIOS: ### --------------- ---------- ------------------------------------- ### Oracle 15/02/2011 Creacion. ### ### ### Cargar entorno ### V_ADMIN_DIR=`dirname $0` . ${V_ADMIN_DIR}/entorno_bd.sh 1>>/dev/null if [ $? -ne 0 ] then echo "Error Loading the environment." exit 1 fi V_RET=0 V_DATE=`/bin/date` V_DATE_F=`/bin/date +%Y%m%d_%H%M%S` V_LOGFILE=${V_TRAZAS}/recrea_dg_${V_DATE_F}.log exec 4>&1 tee ${V_FICH_LOG} >&4 |& exec 1>&p 2>&1 ### ### Variables para Recrear el Data Guard ### V_DB_BR=`echo ${V_DB_NAME}|tr '[:lower:]' '[:upper:]'` if [ "${ORACLE_SID}" = "${V_DB_NAME}01" ] then V_LOCAL_BR=${V_DB_BR}'01' V_REMOTE_BR=${V_DB_BR}'02' else V_LOCAL_BR=${V_DB_BR}'02' V_REMOTE_BR=${V_DB_BR}'01' fi echo " Getting local instance ROLE ${ORACLE_SID} ..." sqlplus -s /nolog 1>>/dev/null 2>&1 <<-! whenever sqlerror exit 1 connect / as sysdba variable salida number declare v_database_role v\$database.database_role%type; begin select database_role into v_database_role from v\$database; :salida := case v_database_role when 'PRIMARY' then 2 when 'PHYSICAL STANDBY' then 3 else 4 end; end; / exit :salida ! case $? in 1) echo " ERROR: Cannot get instance ROLE ." | tee -a ${V_LOGFILE} 2>&1 V_RET=1 ;; 2) echo " Local Instance with PRIMARY role." | tee -a ${V_LOGFILE} 2>&1 V_DB_ROLE_LCL=PRIMARY ;; 3) echo " Local Instance with PHYSICAL STANDBY role." | tee -a ${V_LOGFILE} 2>&1 V_DB_ROLE_LCL=STANDBY ;; *) echo " ERROR: UNKNOWN ROLE." | tee -a ${V_LOGFILE} 2>&1 V_RET=1 ;; esac if [ "${V_DB_ROLE_LCL}" = "PRIMARY" ] then echo "####################################################################" | tee -a ${V_LOGFILE} 2>&1 echo "${V_DATE} - Reacreating STANDBY Instance." | tee -a ${V_LOGFILE} 2>&1 echo "" | tee -a ${V_LOGFILE} 2>&1 echo "DATAFILES, CONTROL FILES, REDO LOGS and ARCHIVE LOGS in standby instance ${V_REMOTE_BR} will be removed" | tee -a ${V_LOGFILE} 2>&1 echo "" | tee -a ${V_LOGFILE} 2>&1 V_PRIMARY=${V_LOCAL_BR} V_STANDBY=${V_REMOTE_BR} fi if [ "${V_DB_ROLE_LCL}" = "STANDBY" ] then echo "####################################################################" | tee -a ${V_LOGFILE} 2>&1 echo "${V_DATE} - Reacreating STANDBY Instance." | tee -a ${V_LOGFILE} 2>&1 echo "" | tee -a ${V_LOGFILE} 2>&1 echo "DATAFILES, CONTROL FILES, REDO LOGS and ARCHIVE LOGS in standby instance ${V_LOCAL_BR} will be removed" | tee -a ${V_LOGFILE} 2>&1 echo "" | tee -a ${V_LOGFILE} 2>&1 V_PRIMARY=${V_REMOTE_BR} V_STANDBY=${V_LOCAL_BR} fi # Cargamos las variables de los hosts # Cargamos las variables de los hosts PRY_HOST=`sqlplus /nolog << EOF | grep KEEP | sed 's/KEEP//;s/[ ]//g' connect sys/${V_DB_PWD}@${V_PRIMARY} as sysdba select 'KEEP',host_name from v\\$instance; EOF` SBY_HOST=`sqlplus /nolog << EOF | grep KEEP | sed 's/KEEP//;s/[ ]//g' connect sys/${V_DB_PWD}@${V_STANDBY} as sysdba select 'KEEP',host_name from v\\$instance; EOF` echo "el HOST primary es: ${PRY_HOST}" | tee -a ${V_LOGFILE} 2>&1 echo "el HOST standby es: ${SBY_HOST}" | tee -a ${V_LOGFILE} 2>&1 echo "" | tee -a ${V_LOGFILE} 2>&1 ## ## Paramos la instancia STANDBY ## V_DATE=`/bin/date` echo "${V_DATE} - Shutting down Standby instance" | tee -a ${V_LOGFILE} 2>&1 echo "" | tee -a ${V_LOGFILE} 2>&1 echo "********************************************************************************" | tee -a ${V_LOGFILE} 2>&1 ## ## Paramos la instancia STANDBY ## SBY_STATUS=`sqlplus /nolog << EOF | grep KEEP | sed 's/KEEP//;s/[ ]//g' connect sys/${V_DB_PWD}@${V_STANDBY} as sysdba select 'KEEP',status from v\\$instance; EOF` if [ ${SBY_STATUS} = 'STARTED' ] || [ ${SBY_STATUS} = 'MOUNTED' ] || [ ${SBY_STATUS} = 'OPEN' ] then echo "${V_DATE} - Standby instance shutdown in progress..." | tee -a ${V_LOGFILE} 2>&1 echo "" | tee -a ${V_LOGFILE} 2>&1 echo "********************************************************************************" | tee -a ${V_LOGFILE} 2>&1 sqlplus -s /nolog 1>>/dev/null 2>&1 <<-! whenever sqlerror exit 1 connect sys/${V_DB_PWD}@${V_STANDBY} as sysdba shutdown abort ! fi V_DATE=`/bin/date` echo "" echo "${V_DATE} - Standby instance stopped" | tee -a ${V_LOGFILE} 2>&1 echo "" | tee -a ${V_LOGFILE} 2>&1 echo "********************************************************************************" | tee -a ${V_LOGFILE} 2>&1 ## ## Eliminamos los ficheros de la base de datos ## V_SBY_SID=`echo ${V_STANDBY}|tr '[:upper:]' '[:lower:]'` V_PRY_SID=`echo ${V_PRIMARY}|tr '[:upper:]' '[:lower:]'` ssh ${SBY_HOST} rm /opt/oracle/db/db${V_DB_NAME}/${V_SBY_SID}/data/*.dbf ssh ${SBY_HOST} rm /opt/oracle/db/db${V_DB_NAME}/${V_SBY_SID}/arch/*.arc ssh ${SBY_HOST} rm /opt/oracle/db/db${V_DB_NAME}/${V_SBY_SID}/ctl/*.ctl ssh ${SBY_HOST} rm /opt/oracle/db/db${V_DB_NAME}/${V_SBY_SID}/redo/*.ctl ssh ${SBY_HOST} rm /opt/oracle/db/db${V_DB_NAME}/${V_SBY_SID}/redo/*.rdo ## ## Startup nomount stby instance ## V_DATE=`/bin/date` echo "" | tee -a ${V_LOGFILE} 2>&1 echo "${V_DATE} - Starting DUMMY Standby Instance " | tee -a ${V_LOGFILE} 2>&1 echo "" | tee -a ${V_LOGFILE} 2>&1 echo "********************************************************************************" | tee -a ${V_LOGFILE} 2>&1 ssh ${SBY_HOST} touch /home/oracle/init_dg.ora ssh ${SBY_HOST} 'echo "DB_NAME='${V_DB_NAME}'">>/home/oracle/init_dg.ora' ssh ${SBY_HOST} touch /home/oracle/start_dummy.sh ssh ${SBY_HOST} 'echo "ORACLE_HOME=/opt/oracle/db/db'${V_DB_NAME}'/soft/db11.2.0.2 ">>/home/oracle/start_dummy.sh' ssh ${SBY_HOST} 'echo "export ORACLE_HOME">>/home/oracle/start_dummy.sh' ssh ${SBY_HOST} 'echo "PATH=\$ORACLE_HOME/bin:\$PATH">>/home/oracle/start_dummy.sh' ssh ${SBY_HOST} 'echo "export PATH">>/home/oracle/start_dummy.sh' ssh ${SBY_HOST} 'echo "ORACLE_SID='${V_SBY_SID}'">>/home/oracle/start_dummy.sh' ssh ${SBY_HOST} 'echo "export ORACLE_SID">>/home/oracle/start_dummy.sh' ssh ${SBY_HOST} 'echo "sqlplus -s /nolog <<-!" >>/home/oracle/start_dummy.sh' ssh ${SBY_HOST} 'echo " whenever sqlerror exit 1 ">>/home/oracle/start_dummy.sh' ssh ${SBY_HOST} 'echo " connect / as sysdba ">>/home/oracle/start_dummy.sh' ssh ${SBY_HOST} 'echo " startup nomount pfile='\''/home/oracle/init_dg.ora'\''">>/home/oracle/start_dummy.sh' ssh ${SBY_HOST} 'echo "! ">>/home/oracle/start_dummy.sh' ssh ${SBY_HOST} 'chmod 744 /home/oracle/start_dummy.sh' ssh ${SBY_HOST} 'sh /home/oracle/start_dummy.sh' ssh ${SBY_HOST} 'rm /home/oracle/start_dummy.sh' ssh ${SBY_HOST} 'rm /home/oracle/init_dg.ora' ## ## TNSNAMES change, specific for RMAN duplicate ## V_DATE=`/bin/date` echo "" | tee -a ${V_LOGFILE} 2>&1 echo "${V_DATE} - Setting up TNSNAMES in PRIMARY host " | tee -a ${V_LOGFILE} 2>&1 echo "" | tee -a ${V_LOGFILE} 2>&1 echo "********************************************************************************" | tee -a ${V_LOGFILE} 2>&1 ssh ${PRY_HOST} 'cp /opt/oracle/db/db'${V_DB_NAME}'/soft/db11.2.0.2/network/admin/tnsnames.ora.inst /opt/oracle/db/db'${V_DB_NAME}'/soft/db11.2.0.2/network/admin/tnsnames.ora' V_DATE=`/bin/date` echo "" | tee -a ${V_LOGFILE} 2>&1 echo "${V_DATE} - Starting STANDBY creation with RMAN.. " | tee -a ${V_LOGFILE} 2>&1 echo "" | tee -a ${V_LOGFILE} 2>&1 echo "********************************************************************************" | tee -a ${V_LOGFILE} 2>&1 rman<<-! >>${V_LOGFILE} connect target sys/${V_DB_PWD}@${V_PRIMARY} connect auxiliary sys/${V_DB_PWD}@${V_STANDBY} run { allocate channel prmy1 type disk; allocate channel prmy2 type disk; allocate channel prmy3 type disk; allocate channel prmy4 type disk; allocate auxiliary channel stby type disk; duplicate target database for standby from active database dorecover spfile parameter_value_convert '${V_PRY_SID}','${V_SBY_SID}' set control_files='/opt/oracle/db/db${V_DB_NAME}/${V_SBY_SID}/ctl/control01.ctl','/opt/oracle/db/db${V_DB_NAME}/${V_SBY_SID}/redo/control02.ctl' set db_file_name_convert='/opt/oracle/db/db${V_DB_NAME}/${V_PRY_SID}/','/opt/oracle/db/db${V_DB_NAME}/${V_SBY_SID}/' set log_file_name_convert='/opt/oracle/db/db${V_DB_NAME}/${V_PRY_SID}/','/opt/oracle/db/db${V_DB_NAME}/${V_SBY_SID}/' set 'db_unique_name'='${V_SBY_SID}' set log_archive_config='DG_CONFIG=(${V_PRIMARY},${V_STANDBY})' set fal_client='${V_STANDBY}' set fal_server='${V_PRIMARY}' set log_archive_dest_1='LOCATION=/opt/oracle/db/db${V_DB_NAME}/${V_SBY_SID}/arch DB_UNIQUE_NAME=${V_SBY_SID} MANDATORY VALID_FOR=(ALL_LOGFILES,ALL_ROLES)' set log_archive_dest_2='SERVICE="${V_PRIMARY}"','SYNC AFFIRM DB_UNIQUE_NAME=${V_PRY_SID} DELAY=0 MAX_FAILURE=0 REOPEN=300 REGISTER VALID_FOR=(ONLINE_LOGFILES,PRIMARY_ROLE)' nofilenamecheck ; } ! V_DATE=`/bin/date` if [ $? -ne 0 ] then echo "" echo "${V_DATE} - Error creating STANDBY instance" echo "" echo "********************************************************************************" else echo "" echo "${V_DATE} - STANDBY instance created SUCCESSFULLY " echo "" echo "********************************************************************************" fi sqlplus -s /nolog 1>>/dev/null 2>&1 <<-! whenever sqlerror exit 1 connect sys/${V_DB_PWD}@${V_STANDBY} as sysdba alter system set local_listener='(ADDRESS=(PROTOCOL=TCP)(HOST=${SBY_HOST})(PORT=1544))' scope=both; alter system set service_names='${V_DB_NAME}.eu.roca.net,${V_SBY_SID}.eu.roca.net,${V_SBY_SID}_DGMGRL.eu.roca.net' scope=both; alter database recover managed standby database using current logfile disconnect from session; alter system set dg_broker_start=true scope=both; ! ## ## TNSNAMES change, back to Production Mode ## V_DATE=`/bin/date` echo " " | tee -a ${V_LOGFILE} 2>&1 echo "${V_DATE} - Restoring TNSNAMES in PRIMARY " | tee -a ${V_LOGFILE} 2>&1 echo "" | tee -a ${V_LOGFILE} 2>&1 echo "********************************************************************************" | tee -a ${V_LOGFILE} 2>&1 ssh ${PRY_HOST} 'cp /opt/oracle/db/db'${V_DB_NAME}'/soft/db11.2.0.2/network/admin/tnsnames.ora.prod /opt/oracle/db/db'${V_DB_NAME}'/soft/db11.2.0.2/network/admin/tnsnames.ora' echo "" | tee -a ${V_LOGFILE} 2>&1 echo "${V_DATE} - Waiting for media recovery before check the DATA GUARD Broker" | tee -a ${V_LOGFILE} 2>&1 echo "" | tee -a ${V_LOGFILE} 2>&1 echo "********************************************************************************" | tee -a ${V_LOGFILE} 2>&1 sleep 200 dgmgrl <<-! | grep SUCCESS 1>/dev/null 2>&1 connect ${V_DB_USR}/${V_DB_PWD}@${V_STANDBY} show configuration verbose; ! if [ $? -ne 0 ] ; then echo " ERROR: El status del Broker no es SUCCESS" | tee -a ${V_LOGFILE} 2>&1 ; V_RET=1 else echo " DATA GUARD OK " | tee -a ${V_LOGFILE} 2>&1 ; Normal 0 21 false false false ES X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} V_RET=0 fi Hope it helps.

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SASL (Postfix) authentication with MySQL and Blowfish pre-encrypted passwords

- by webo

I have a Rails app with the Devise authentication gem running user registration and login. I want to use the db table that Devise populates when a user registers as the table that Postfix uses to authenticate users. The table has all the fields that Postfix may want for SASL authentication except that Devise encrypts the password using Blowfish before placing it in the database. How could I go about getting Postfix/SASL to decrypt those passwords so that the user can be authenticated properly? Devise salts the password so I'm not sure if that helps. Any suggestions? I'd likely want to do something similar with Dovecot or Courier, I'm not attached to one quite yet.

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The Agile Engineering Rules of Test Code

- by Malcolm Anderson

Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Lots of test code gets written, a lot of it is waste, some of it is well engineered waste.Companies hire Agile Engineering Coaches because agile engineering is easy to do wrong.Very easy.So here's a quick tool you can use for self coaching.It's what I call, "The Agile Engineering Rules of Test Code" and it's going to act as a sort of table of contents for some future posts.The Agile Engineering Rules of Test Code Malcolm Anderson Test code is not throw away code Test code is production code 8 questions to determine the quality of your test code Does the test code have appropriate comments?Is the test code executed as part of the build?Every Time?Is the test code getting refactored?Does everyone use the same test code?Can the test code be described as “Well Maintained”?Can a bright six year old tell you why any particular test failed?Are the tests independent and infinitely repeatable?

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Data Integration 12c Raising the Big Data Roof at Oracle OpenWorld

- by Tanu Sood

Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-family:"Times New Roman","serif"; mso-fareast-font-family:"MS Mincho";} Author: Dain Hansen, Director, Oracle It was an exciting OpenWorld 2013 for us in the Data Integration track. Our theme this year was all about ‘being future ready’ - previewing one of our biggest releases this year: Oracle Data Integration 12c. Just this week we followed up with this preview by announcing the general availability of 12c release for Oracle’s key data integration products: Oracle Data Integrator 12c and Oracle GoldenGate 12c. The new release delivers extreme performance, increase IT productivity, and simplify deployment, while helping IT organizations to keep pace with new data-oriented technology trends including cloud computing, big data analytics, real-time business intelligence. Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-family:"Times New Roman","serif"; mso-fareast-font-family:"MS Mincho";} Mark Hurd's keynote on day one set the tone for the Data Integration sessions. Mark focused on big data analytics and the changing consumer expectations. Especially real-time insight is a key theme for Oracle overall and data integration products. In Mark Hurd's keynote we heard from key customers, such as Airbus and Thomson Reuters, how real-time analysis of operational data including machine data creates value, in some cases even saves lives. Thomas Kurian gave a deeper look into Oracle's big data and fast data solutions. In the initial lead Data Integration track session - Brad Adelberg, VP of Development, presented Oracle’s Data Integration 12c product strategy based on key trends from the initial OpenWorld keynotes. Brad talked about how Oracle's data integration products address the new data integration requirements that evolved with cloud computing, big data, and changing consumer expectations and how they set the key themes in our products’ road map. Brad explained why and how fast-time to value, high-performance and future-ready solutions is the top focus areas for product development. If you were not able to attend OpenWorld or this session I recommend reading the white paper: Five New Data Integration Requirements and How to Meet them with Oracle Data Integration, which provides an in-depth look into how Oracle addresses the new trends in the DI market. Following Brad’s session, Nick Wagner provided in depth review of Oracle GoldenGate’s latest features and roadmap. Nick discussed how Oracle GoldenGate’s tight integration with Oracle Database sets the product apart from the competition. We also heard that heterogeneity of the product is still a major focus for GoldenGate’s development and there will be more news on that front when there is a major release. Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-family:"Times New Roman","serif"; mso-fareast-font-family:"MS Mincho";} After GoldenGate’s product strategy session, Denis Gray from the PM team presented Oracle Data Integrator’s product strategy session, talking about the latest and greatest on ODI. Another good session was delivered by long-time GoldenGate users, Comcast. Jason Hurd and Amit Patel of Comcast talked about the various use cases they deploy Oracle GoldenGate throughout their enterprise, from database upgrades, feeding reporting systems, to active-active database synchronization. The Comcast team shared many good tips on how to use GoldenGate for both zero downtime upgrades and active-active replication with conflict management requirement. One of our other important goals we had this year for the Data Integration track at OpenWorld was hearing from our customers. We ended day 1 on just that, with a wonderful award ceremony for Oracle Excellence Awards for Oracle Fusion Middleware Innovation. The ceremony was held in the Yerba Buena Center for the Arts. Congratulations to Royal Bank of Scotland and Yalumba Wine Company, the winners in the Data Integration category. You can find more information on the award and the winners in our previous blog post: 2013 Oracle Excellence Awards for Fusion Middleware Innovation… Selected for their innovation use of Oracle’s Data Integration products; the winners for the Data Integration Category are Royal Bank of Scotland and The Yalumba Wine Company. Congratulations!!! Royal Bank of Scotland’s Market and International Banking division provides clients across the globe with seamless trading and competitive pricing, underpinned by a deep knowledge of risk management across the full spectrum of financial products. They handle millions of transactions daily to keep the lifeblood of their clients’ businesses flowing – whether through payment management solutions or through bespoke trade finance solutions. Royal Bank of Scotland is leveraging Oracle GoldenGate and Oracle Data Integrator along with Oracle Business Intelligence Enterprise Edition and the Oracle Database for a variety of solutions. Mainly, Oracle GoldenGate and Oracle Data Integrator are used to feed their data warehouse – providing a real-time data integration solution that feeds transactional data to their analytics system in minutes to enable improved decision making with timely, accurate data for their business users. Oracle Data Integrator’s in-database transformation capabilities and its ability to integrate with Oracle GoldenGate for real-time data capture is the foundation of this implementation. This solution makes it such that changes happening in the analytics systems are available the same day they are deployed on the operational system with 100% data quality guaranteed. Additionally, the solution has helped to reduce their operational database size from 150GB to 10GB. Impressive! Now what if I told you this solution was built in 3 months and had a less than 6 month return on investment? That’s outstanding! The Yalumba Wine Company is situated in the Barossa Valley of Australia. It is the oldest family owned winery in Australia with a unique way of aging their wines in specially crafted 100 liter barrels. Did you know that “Yalumba” is Aboriginal for “all the land around”? The Yalumba Wine Company is growing rapidly, and was in need of introducing a more modern standard to the existing manufacturing processes to meet globalization demands, overall time-to-market, and better operational efficiency objectives of product development. The Yalumba Wine Company worked with a partner, Bristlecone to develop a unique solution whereby Oracle Data Integrator is leveraged to pull data from Salesforce.com and JD Edwards, in addition to their other pre-existing source systems, for consumption into their data warehouse. They have emphasized the overall ease of developing integration workflows with Oracle Data Integrator. The solution has brought better visibility for the business users, shorter data loading and transformation performance to their data warehouse with rapid incorporation of new data sources, and a solid future-proof foundation for their organization. Moving forward, they plan on leveraging more from Oracle’s Data Integration portfolio. Terrific! In addition to these two customers on Tuesday we featured many other important Oracle Data Integrator and Oracle GoldenGate customers. On Tuesday the GoldenGate panel included: Land O’Lakes, Smuckers, and Veolia Water. Besides giving us yummy nutrition and healthy water, these companies have another aspect in common. They all use GoldenGate to boost their ERP application. Please read the recap by Irem Radzik. On Wednesday, the ODI Panel included: Barry Ralston and Ryan Weber of Infinity Insurance, Paul Stracke of Paychex Inc., and Ian Wall of Vertex Pharmaceuticals for a session filled with interesting projects, use cases and approaches to leveraging Oracle Data Integrator. Please read the recap by Sandrine Riley for more. Thanks to everyone who joined with us and we hope to stay connected! To hear more about our Data Integration12c products join us in an upcoming webcast to learn more. Follow us www.twitter.com/ORCLGoldenGate or goto our website at www.oracle.com/goto/dataintegration

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SQL SERVER – How to Force New Cardinality Estimation or Old Cardinality Estimation

- by Pinal Dave

After reading my initial two blog posts on New Cardinality Estimation, I received quite a few questions. Once I receive this question, I felt I should have clarified it earlier few things when I started to write about cardinality. Before continuing this blog, if you have not read it before I suggest you read following two blog posts. SQL SERVER – Simple Demo of New Cardinality Estimation Features of SQL Server 2014 SQL SERVER – Cardinality Estimation and Performance – SQL in Sixty Seconds #072 Q: Does new cardinality will improve performance of all of my queries? A: Remember, there is no 0 or 1 logic when it is about estimation. The general assumption is that most of the queries will be benefited by new cardinality estimation introduced in SQL Server 2014. That is why the generic advice is to set the compatibility level of the database to 120, which is for SQL Server 2014. Q: Is it possible that after changing cardinality estimation to new logic by setting the value to compatibility level to 120, I get degraded performance for few queries? A: Yes, it is possible. However, the number of the queries where this impact should be very less. Q: Can I still run my database in older compatibility level and force few queries to newer cardinality estimation logic? If yes, How? A: Yes, you can do that. You will need to force your query with trace flag 2312 to use newer cardinality estimation logic. USE AdventureWorks2014 GO -- Old Cardinality Estimation ALTER DATABASE AdventureWorks2014 SET COMPATIBILITY_LEVEL = 110 GO -- Using New Cardinality Estimation SELECT [AddressID],[AddressLine1],[City] FROM [Person].[Address] OPTION(QUERYTRACEON 2312);; -- Using Old Cardinality Estimation SELECT [AddressID],[AddressLine1],[City] FROM [Person].[Address]; GO Q: Can I run my database in newer compatibility level and force few queries to older cardinality estimation logic? If yes, How? A: Yes, you can do that. You will need to force your query with trace flag 9481 to use newer cardinality estimation logic. USE AdventureWorks2014 GO -- NEW Cardinality Estimation ALTER DATABASE AdventureWorks2014 SET COMPATIBILITY_LEVEL = 120 GO -- Using New Cardinality Estimation SELECT [AddressID],[AddressLine1],[City] FROM [Person].[Address]; -- Using Old Cardinality Estimation SELECT [AddressID],[AddressLine1],[City] FROM [Person].[Address] OPTION(QUERYTRACEON 9481); GO I guess, I have covered most of the questions so far I have received. If I have missed any questions, please send me again and I will include the same. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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Interactive Reporting with BI Publisher 11G

- by kanichiro.nishida

One of the new features that came out with BI Publisher 11G and made me really excited about is the Interactive Viewer, which allows you to interact with the data presented in the reports and gain more insights about the data. You can have as many Table, Chart, Pivot Table, Gauge components in a single report and all of them are linked together so that you can click on any data point on the components such as Chart, Pivot Table, Gauge, and that would refresh other components in the report to reflect the selection without refreshing the whole report or page. No longer you need to navigate to another report or open other reports to see related data or drill down to the detail data. It’s all there within a single report. Well, sounds cliché but really this is a typical case of ‘seeing is believing’, so instead of reading I would love you guys to take a look so I’ve recorded the following video. Please take a look ! The above video shows you the power of the BI Publisher Interactive Viewer with a real data from San Francisco Airport. The lists shown at the top or the left are one of the new features that we’ll be introducing in coming future very soon, but everything else is there with 11.1.1.3. So why not start today ? And please share your feedback with us!

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Learn Who Started that Trace with the Default Trace

- by Jonathan Kehayias

This is not Extended Event related but it came from a question on Twitter about how to tell who and from what machine a server side trace was created, and there is no way to explain this in 140 characters so here’s a blog post. This information is tracked in the Default Trace and can be found by querying for EventClass 175 which is the Audit Server Alter Trace Event trace_event_id from sys.trace_events. select trace_event_id , name from sys . trace_events where name like '%trace%' To query...(read more)

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July, the 31 Days of SQL Server DMO’s – Day 28 (sys.dm_db_stats_properties)

- by Tamarick Hill

The sys.dm_db_stats_properties Dynamic Management Function returns information about the statistics that are currently on your database objects. This function takes two parameters, an object_id and a stats_id. Let’s have a look at the result set from this function against the AdventureWorks2012.Sales.SalesOrderHeader table. To obtain the object_id and stats_id I will use a CROSS APPLY with the sys.stats system table. SELECT sp.* FROM sys.stats s CROSS APPLY sys.dm_db_stats_properties(s.object_id, s.Stats_id) sp WHERE sp.object_id = object_id('Sales.SalesOrderHeader') The first two columns returned by this function are the object_id and the stats_id columns. The next column, ‘last_updated’, gives you the date and the time that a particular statistic was last updated. The next column, ‘rows’, gives you the total number of rows in the table as of the last statistic update date. The ‘rows_sampled’ column gives you the number of rows that were sampled to create the statistic. The ‘steps’ column represents the number of specific value ranges from the statistic histogram. The ‘unfiltered_rows’ column represents the number of rows before any filters are applied. If a particular statistic is not filtered, the ‘unfiltered_rows’ column will always equal the ‘rows’ column. Lastly we have the ‘modification_counter’ column which represents the number of modification to the leading column in a given statistic since the last time the statistic was updated. Probably the most important column from this Dynamic Management Function is the ‘last_updated’ column. You want to always ensure that you have accurate and updated statistics on your database objects. Accurate statistics are vital for the query optimizer to generate efficient and reliable query execution plans. Without accurate and updated statistics, the performance of your SQL Server would likely suffer. For more information about this Dynamic Management Function, please see the below Books Online link: http://msdn.microsoft.com/en-us/library/jj553546.aspx Folllow me on Twitter @PrimeTimeDBA

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SQL Server 2008 Compression

- by Peter Larsson

Hi! Today I am going to talk about compression in SQL Server 2008. The data warehouse I currently design and develop holds historical data back to 1973. The data warehouse will have an other blog post laster due to it's complexity. However, the server has 60GB of memory (of which 48 is dedicated to SQL Server service), so all data didn't fit in memory and the SAN is not the fastest one around. So I decided to give compression a go, since we use Enterprise Edition anyway. This is the code I use to compress all tables with PAGE compression. DECLARE @SQL VARCHAR(MAX) DECLARE curTables CURSOR FOR SELECT 'ALTER TABLE ' + QUOTENAME(OBJECT_SCHEMA_NAME(object_id)) + '.' + QUOTENAME(OBJECT_NAME(object_id)) + ' REBUILD PARTITION = ALL WITH (DATA_COMPRESSION = PAGE)' FROM sys.tables OPEN curTables FETCH NEXT FROM curTables INTO @SQL WHILE @@FETCH_STATUS = 0 BEGIN IF @SQL IS NOT NULL RAISERROR(@SQL, 10, 1) WITH NOWAIT FETCH NEXT FROM curTables INTO @SQL END CLOSE curTables DEALLOCATE curTables Copy and paste the result to a new code window and execute the statements. One thing I noticed when doing this, is that the database grows with the same size as the table. If the database cannot grow this size, the operation fails. For me, I first ended up with orphaned connection. Not good. And this is the code I use to create the index compression statements DECLARE @SQL VARCHAR(MAX) DECLARE curIndexes CURSOR FOR SELECT 'ALTER INDEX ' + QUOTENAME(name) + ' ON ' + QUOTENAME(OBJECT_SCHEMA_NAME(object_id)) + '.' + QUOTENAME(OBJECT_NAME(object_id)) + ' REBUILD PARTITION = ALL WITH (FILLFACTOR = 100, DATA_COMPRESSION = PAGE)' FROM sys.indexes WHERE OBJECTPROPERTY(object_id, 'IsMSShipped') = 0 AND OBJECTPROPERTY(object_id, 'IsTable') = 1 ORDER BY CASE type_desc WHEN 'CLUSTERED' THEN 1 ELSE 2 END OPEN curIndexes FETCH NEXT FROM curIndexes INTO @SQL WHILE @@FETCH_STATUS = 0 BEGIN IF @SQL IS NOT NULL RAISERROR(@SQL, 10, 1) WITH NOWAIT FETCH NEXT FROM curIndexes INTO @SQL END CLOSE curIndexes DEALLOCATE curIndexes When this was done, I noticed that the 90GB database now only was 17GB. And most important, complete database now could reside in memory! After this I took care of the administrative tasks, backups. Here I copied the code from Management Studio because I didn't want to give too much time for this. The code looks like (notice the compression option). BACKUP DATABASE [Yoda] TO DISK = N'D:\Fileshare\Backup\Yoda.bak' WITH NOFORMAT, INIT, NAME = N'Yoda - Full Database Backup', SKIP, NOREWIND, NOUNLOAD, COMPRESSION, STATS = 10, CHECKSUM GO DECLARE @BackupSetID INT SELECT @BackupSetID = Position FROM msdb..backupset WHERE database_name = N'Yoda' AND backup_set_id =(SELECT MAX(backup_set_id) FROM msdb..backupset WHERE database_name = N'Yoda') IF @BackupSetID IS NULL RAISERROR(N'Verify failed. Backup information for database ''Yoda'' not found.', 16, 1) RESTORE VERIFYONLY FROM DISK = N'D:\Fileshare\Backup\Yoda.bak' WITH FILE = @BackupSetID, NOUNLOAD, NOREWIND GO After running the backup, the file size was even more reduced due to the zip-like compression algorithm used in SQL Server 2008. The file size? Only 9 GB. //Peso

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