Search Results

Search found 27905 results on 1117 pages for 'sql authority'.

Page 718/1117 | < Previous Page | 714 715 716 717 718 719 720 721 722 723 724 725  | Next Page >

  • When was sys.dm_os_wait_stats last cleared?

    - by SQLOS Team
    The sys.dm_os_wait_stats DMV provides essential metrics for diagnosing SQL Server performance problems. Returning incrementally accumulating information about all the completed waits encountered by executing threads it is a useful way to identify bottlenecks such as IO latency issues or waits on locks. The counters are reset each time SQL server is restarted, or when the following command is run: DBCC SQLPERF ('sys.dm_os_wait_stats', CLEAR); To make sense out of these wait values you need to know how they change over time. Suppose you are asked to troubleshoot a system and you don't know when the wait stats were last zeroed. Is there any way to find the elapsed time since this happened? If the wait stats were not cleared using the DBCC SQLPERF command then you can simply correlate the stats with the time SQL Server was started using the sqlserver_start_time column introduced in SQL Server 2008 R2: SELECT sqlserver_start_time from sys.dm_os_sys_info However how do you tell if someone has run DBCC SQLPERF ('sys.dm_os_wait_stats', CLEAR) since the server was started, and if they did, when? Without this information the initial, or historical, wait_stats have less value until you can measure deltas over time. There is a way to at least estimate when the stats were last cleared, by using the wait stats themselves and choosing a thread that spends most of its time sleeping. A good candidate is the SQL Trace incremental flush task, which mostly sleeps (in 4 second intervals) and in between it attempts to flush (if there are new events – which is rare when only default trace is running) – so it pretty much sleeps all the time. Hence the time it has spent waiting is very close to the elapsed time since the counter was reset. Credit goes to Ivan Penkov in the SQLOS dev team for suggesting this. Here's an example (excuse formatting): 144 seconds after the server was started: select top 10 wait_type, wait_time_ms from sys.dm_os_wait_stats order by wait_time_ms desc wait_type                                                               wait_time_ms--------------------------------------------------------------------------------------------------------------- XE_DISPATCHER_WAIT                                      242273LAZYWRITER_SLEEP                                          146010LOGMGR_QUEUE                                                145412DIRTY_PAGE_POLL                                             145411XE_TIMER_EVENT                                               145216REQUEST_FOR_DEADLOCK_SEARCH             145194SQLTRACE_INCREMENTAL_FLUSH_SLEEP    144325SLEEP_TASK                                                        73359BROKER_TO_FLUSH                                           73113PREEMPTIVE_OS_AUTHENTICATIONOPS       143 (10 rows affected) Reset: DBCC SQLPERF('sys.dm_os_wait_stats', CLEAR)" DBCC execution completed. If DBCC printed error messages, contact your system administrator. After 8 seconds: select top 10 wait_type, wait_time_ms from sys.dm_os_wait_stats order by wait_time_ms desc wait_type                                                                 wait_time_ms--------------------------------------------------------------------------------------------------------------------- REQUEST_FOR_DEADLOCK_SEARCH              10013LAZYWRITER_SLEEP                                           8124SQLTRACE_INCREMENTAL_FLUSH_SLEEP     8017LOGMGR_QUEUE                                                 7579DIRTY_PAGE_POLL                                              7532XE_TIMER_EVENT                                                5007BROKER_TO_FLUSH                                            4118SLEEP_TASK                                                         3089PREEMPTIVE_OS_AUTHENTICATIONOPS        28SOS_SCHEDULER_YIELD                                   27 (10 rows affected)   After 12 seconds: select top 10 wait_type, wait_time_ms from sys.dm_os_wait_stats order by wait_time_ms desc wait_type                                                                  wait_time_ms------------------------------------------------------------------------------------------------------ REQUEST_FOR_DEADLOCK_SEARCH               15020LAZYWRITER_SLEEP                                            14206LOGMGR_QUEUE                                                  14036DIRTY_PAGE_POLL                                               13973SQLTRACE_INCREMENTAL_FLUSH_SLEEP      12026XE_TIMER_EVENT                                                 10014SLEEP_TASK                                                          7207BROKER_TO_FLUSH                                             7207PREEMPTIVE_OS_AUTHENTICATIONOPS         57SOS_SCHEDULER_YIELD                                     28 (10 rows affected) It may not be accurate to the millisecond, but it can provide a useful data point, and give an indication whether the wait stats were manually cleared after startup, and if so approximately when. - Guy     Originally posted at http://blogs.msdn.com/b/sqlosteam/

    Read the article

  • Existing Instance, Shiny New Disks

    - by merrillaldrich
    Migrating an Instance of SQL Server to New Disks I get to do something pretty entertaining this week – migrate SQL instances on a 2008 cluster from one disk array to another! Zut alors! I am so excited I can hardly contain myself, so let’s get started. (Only a DBA could love this stuff, am I right? I know.) Anyway, here’s one method of many to migrate your data. Assumption : this is a host-based migration, which just means I’m using the Windows file system to push the data from one set of SAN disks...(read more)

    Read the article

  • Which of Your Stored Procedures are Using the Most Resources?

    Dynamic Management Views and Functions aren't always easy to understand. However, they are the easiest way of finding out which of your stored procedures are using up the most resources. Greg takes the time to explain how and why these DMVs and DMFs get their information. Suddenly, it all gets clearer. Join SQL Backup’s 35,000+ customers to compress and strengthen your backups "SQL Backup will be a REAL boost to any DBA lucky enough to use it." Jonathan Allen. Download a free trial now.

    Read the article

  • LINQ Lycanthropy: Transformations into LINQ

    LINQ is one of the few technologies that you can start to use without a lot of preliminary learning. Also, it lends itself to learning by trying out examples. With Michael Sorens' help, you can watch as your conventional C# code changes to ravenous LINQ before your very eyes. Join SQL Backup’s 35,000+ customers to compress and strengthen your backups "SQL Backup will be a REAL boost to any DBA lucky enough to use it." Jonathan Allen. Download a free trial now.

    Read the article

  • Meet @marcorus and @ferrarialberto at TechEd Europe 2012 #tee2012

    - by Marco Russo (SQLBI)
    I and Alberto are in Amsterdam this week at TechEd Europe 2012. If you are here at the conference, you can meet us here: Wed, Jun 27 10:15 AM - 11:30 AM – Room G106 DBI319 - BISM: Multidimensional vs. Tabular Wed, Jun 27 02:15 PM – 02:30 PM – Microsoft Press Booth in the TechExpo area PowerPivot for Excel 2010 Book Signing Thu, Jun 28 8:30 AM - 9:45 AM – Room E107 Many-to-Many Relationships in BISM Tabular Fri, Jun 29 1:00 PM - 2:45 PM – Breakthrough Insight at Microsoft SQL Server Booth – TechExpo area Staff and Q&A We’ll try to visit the Microsoft Booth very often and we’ll be in the area Breakthrough Insight of SQL Server zone (see the picture to identify it). And don’t miss the PowerPivot for Excel 2010 book signing event:

    Read the article

  • The case against INFORMATION_SCHEMA views

    - by AaronBertrand
    In SQL Server 2000, INFORMATION_SCHEMA was the way I derived all of my metadata information - table names, procedure names, column names and data types, relationships... the list goes on and on. I used the system tables like sysindexes from time to time, but I tried to stay away from them when I could. In SQL Server 2005, this all changed with the introduction of catalog views. For one thing, they're a lot easier to type. sys.tables vs. INFORMATION_SCHEMA.TABLES? Come on; no contest there - even...(read more)

    Read the article

  • Meet @marcorus and @ferrarialberto at TechEd Europe 2012 #tee2012

    - by Marco Russo (SQLBI)
    I and Alberto are in Amsterdam this week at TechEd Europe 2012. If you are here at the conference, you can meet us here: Wed, Jun 27 10:15 AM - 11:30 AM – Room G106 DBI319 - BISM: Multidimensional vs. Tabular Wed, Jun 27 02:15 PM – 02:30 PM – Microsoft Press Booth in the TechExpo area PowerPivot for Excel 2010 Book Signing Thu, Jun 28 8:30 AM - 9:45 AM – Room E107 Many-to-Many Relationships in BISM Tabular Fri, Jun 29 1:00 PM - 2:45 PM – Breakthrough Insight at Microsoft SQL Server Booth – TechExpo area Staff and Q&A We’ll try to visit the Microsoft Booth very often and we’ll be in the area Breakthrough Insight of SQL Server zone (see the picture to identify it). And don’t miss the PowerPivot for Excel 2010 book signing event:

    Read the article

  • Point-in-time restore of database backup?

    - by TiborKaraszi
    SQL Server 2005 added the STOPAT option for the RESTORE DATABASE command. This sounds great - we can stop at some point in time during the database backup process was running! Or? No, we can't. Here follows some tech stuff why not, and then what the option is really meant for: A database backup includes all used extents and also all log records that were produced while the backup process was running (possibly older as well, to handle open transactions). When you restore such a backup, SQL Server...(read more)

    Read the article

  • How to Create Effective Error Reports

    - by John Paul Cook
    This post demonstrates some generic problem reporting steps that I encourage all users, whether developers or nontechnical end users, to follow. SQL Server has a feature that can help. So does Windows in some cases. More on those in Step 3. Step 1: Is the problem caused by a particular action undertaken on a gui? If so, you should get a screen capture. But if it is caused by executing some T-SQL code in a query window, just copy/paste the offending code as text. There are several ways to get a screen...(read more)

    Read the article

  • StreamInsight 2.1, meet LINQ

    - by Roman Schindlauer
    Someone recently called LINQ “magic” in my hearing. I leapt to LINQ’s defense immediately. Turns out some people don’t realize “magic” is can be a pejorative term. I thought LINQ needed demystification. Here’s your best demystification resource: http://blogs.msdn.com/b/mattwar/archive/2008/11/18/linq-links.aspx. I won’t repeat much of what Matt Warren says in his excellent series, but will talk about some core ideas and how they affect the 2.1 release of StreamInsight. Let’s tell the story of a LINQ query. Compile time It begins with some code: IQueryable<Product> products = ...; var query = from p in products             where p.Name == "Widget"             select p.ProductID; foreach (int id in query) {     ... When the code is compiled, the C# compiler (among other things) de-sugars the query expression (see C# spec section 7.16): ... var query = products.Where(p => p.Name == "Widget").Select(p => p.ProductID); ... Overload resolution subsequently binds the Queryable.Where<Product> and Queryable.Select<Product, int> extension methods (see C# spec sections 7.5 and 7.6.5). After overload resolution, the compiler knows something interesting about the anonymous functions (lambda syntax) in the de-sugared code: they must be converted to expression trees, i.e.,“an object structure that represents the structure of the anonymous function itself” (see C# spec section 6.5). The conversion is equivalent to the following rewrite: ... var prm1 = Expression.Parameter(typeof(Product), "p"); var prm2 = Expression.Parameter(typeof(Product), "p"); var query = Queryable.Select<Product, int>(     Queryable.Where<Product>(         products,         Expression.Lambda<Func<Product, bool>>(Expression.Property(prm1, "Name"), prm1)),         Expression.Lambda<Func<Product, int>>(Expression.Property(prm2, "ProductID"), prm2)); ... If the “products” expression had type IEnumerable<Product>, the compiler would have chosen the Enumerable.Where and Enumerable.Select extension methods instead, in which case the anonymous functions would have been converted to delegates. At this point, we’ve reduced the LINQ query to familiar code that will compile in C# 2.0. (Note that I’m using C# snippets to illustrate transformations that occur in the compiler, not to suggest a viable compiler design!) Runtime When the above program is executed, the Queryable.Where method is invoked. It takes two arguments. The first is an IQueryable<> instance that exposes an Expression property and a Provider property. The second is an expression tree. The Queryable.Where method implementation looks something like this: public static IQueryable<T> Where<T>(this IQueryable<T> source, Expression<Func<T, bool>> predicate) {     return source.Provider.CreateQuery<T>(     Expression.Call(this method, source.Expression, Expression.Quote(predicate))); } Notice that the method is really just composing a new expression tree that calls itself with arguments derived from the source and predicate arguments. Also notice that the query object returned from the method is associated with the same provider as the source query. By invoking operator methods, we’re constructing an expression tree that describes a query. Interestingly, the compiler and operator methods are colluding to construct a query expression tree. The important takeaway is that expression trees are built in one of two ways: (1) by the compiler when it sees an anonymous function that needs to be converted to an expression tree, and; (2) by a query operator method that constructs a new queryable object with an expression tree rooted in a call to the operator method (self-referential). Next we hit the foreach block. At this point, the power of LINQ queries becomes apparent. The provider is able to determine how the query expression tree is evaluated! The code that began our story was intentionally vague about the definition of the “products” collection. Maybe it is a queryable in-memory collection of products: var products = new[]     { new Product { Name = "Widget", ProductID = 1 } }.AsQueryable(); The in-memory LINQ provider works by rewriting Queryable method calls to Enumerable method calls in the query expression tree. It then compiles the expression tree and evaluates it. It should be mentioned that the provider does not blindly rewrite all Queryable calls. It only rewrites a call when its arguments have been rewritten in a way that introduces a type mismatch, e.g. the first argument to Queryable.Where<Product> being rewritten as an expression of type IEnumerable<Product> from IQueryable<Product>. The type mismatch is triggered initially by a “leaf” expression like the one associated with the AsQueryable query: when the provider recognizes one of its own leaf expressions, it replaces the expression with the original IEnumerable<> constant expression. I like to think of this rewrite process as “type irritation” because the rewritten leaf expression is like a foreign body that triggers an immune response (further rewrites) in the tree. The technique ensures that only those portions of the expression tree constructed by a particular provider are rewritten by that provider: no type irritation, no rewrite. Let’s consider the behavior of an alternative LINQ provider. If “products” is a collection created by a LINQ to SQL provider: var products = new NorthwindDataContext().Products; the provider rewrites the expression tree as a SQL query that is then evaluated by your favorite RDBMS. The predicate may ultimately be evaluated using an index! In this example, the expression associated with the Products property is the “leaf” expression. StreamInsight 2.1 For the in-memory LINQ to Objects provider, a leaf is an in-memory collection. For LINQ to SQL, a leaf is a table or view. When defining a “process” in StreamInsight 2.1, what is a leaf? To StreamInsight a leaf is logic: an adapter, a sequence, or even a query targeting an entirely different LINQ provider! How do we represent the logic? Remember that a standing query may outlive the client that provisioned it. A reference to a sequence object in the client application is therefore not terribly useful. But if we instead represent the code constructing the sequence as an expression, we can host the sequence in the server: using (var server = Server.Connect(...)) {     var app = server.Applications["my application"];     var source = app.DefineObservable(() => Observable.Range(0, 10, Scheduler.NewThread));     var query = from i in source where i % 2 == 0 select i; } Example 1: defining a source and composing a query Let’s look in more detail at what’s happening in example 1. We first connect to the remote server and retrieve an existing app. Next, we define a simple Reactive sequence using the Observable.Range method. Notice that the call to the Range method is in the body of an anonymous function. This is important because it means the source sequence definition is in the form of an expression, rather than simply an opaque reference to an IObservable<int> object. The variation in Example 2 fails. Although it looks similar, the sequence is now a reference to an in-memory observable collection: var local = Observable.Range(0, 10, Scheduler.NewThread); var source = app.DefineObservable(() => local); // can’t serialize ‘local’! Example 2: error referencing unserializable local object The Define* methods support definitions of operator tree leaves that target the StreamInsight server. These methods all have the same basic structure. The definition argument is a lambda expression taking between 0 and 16 arguments and returning a source or sink. The method returns a proxy for the source or sink that can then be used for the usual style of LINQ query composition. The “define” methods exploit the compile-time C# feature that converts anonymous functions into translatable expression trees! Query composition exploits the runtime pattern that allows expression trees to be constructed by operators taking queryable and expression (Expression<>) arguments. The practical upshot: once you’ve Defined a source, you can compose LINQ queries in the familiar way using query expressions and operator combinators. Notably, queries can be composed using pull-sequences (LINQ to Objects IQueryable<> inputs), push sequences (Reactive IQbservable<> inputs), and temporal sequences (StreamInsight IQStreamable<> inputs). You can even construct processes that span these three domains using “bridge” method overloads (ToEnumerable, ToObservable and To*Streamable). Finally, the targeted rewrite via type irritation pattern is used to ensure that StreamInsight computations can leverage other LINQ providers as well. Consider the following example (this example depends on Interactive Extensions): var source = app.DefineEnumerable((int id) =>     EnumerableEx.Using(() =>         new NorthwindDataContext(), context =>             from p in context.Products             where p.ProductID == id             select p.ProductName)); Within the definition, StreamInsight has no reason to suspect that it ‘owns’ the Queryable.Where and Queryable.Select calls, and it can therefore defer to LINQ to SQL! Let’s use this source in the context of a StreamInsight process: var sink = app.DefineObserver(() => Observer.Create<string>(Console.WriteLine)); var query = from name in source(1).ToObservable()             where name == "Widget"             select name; using (query.Bind(sink).Run("process")) {     ... } When we run the binding, the source portion which filters on product ID and projects the product name is evaluated by SQL Server. Outside of the definition, responsibility for evaluation shifts to the StreamInsight server where we create a bridge to the Reactive Framework (using ToObservable) and evaluate an additional predicate. It’s incredibly easy to define computations that span multiple domains using these new features in StreamInsight 2.1! Regards, The StreamInsight Team

    Read the article

  • The Com.PASS Feeds

    A new set of RSS feeds, hosted by PASS, bring you a large quantity of SQL Server content from various sites, including SQLServerCentral.

    Read the article

  • Power View Infrastructure Configuration and Installation: Step-by-Step and Scripts

    This document contains step-by-step instructions for installing and testing the Microsoft Business Intelligence infrastructure based on SQL Server 2012 and SharePoint 2010, focused on SQL Server 2012 Reporting Services with Power View. This document describes how to completely install the following scenarios: a standalone instance of SharePoint and Power View with all required components; a new SharePoint farm with the Power View infrastructure; a server with the Power View infrastructure joined to an existing SharePoint farm; installation on a separate computer of client tools; installation of a tabular instance of Analysis Services on a separate instance; and configuration of single sign-on access for double-hop scenarios with and without Kerberos. Scripts are provided for all/most scenarios.

    Read the article

  • The ETL from Hell - Diagnosing Batch System Performance Issues

    Too often, the batch systems that underlie a lot of database processing just grow without conscious design. When runs start to extend beyond their allotted time, and tuning no longer solves the problem, it is often discovered that batches are run in series, with draconian error handling. It is time to impose some rational design, and Nigel is a seasoned healer of batch processes. The seven tools in the SQL DBA Bundle support your core SQL Server database administration tasks.Make backups a breeze! Enjoy trouble-free troubleshooting! Make the most of monitoring! Download a free trial now.

    Read the article

  • Linqpad and Autocompletion

    I have mentioned before about doing development for StreamInsight in Linqpad. I have it installed on two separate PCs and I have enabled autocompletion on only one of them. Whilst both versions are an excellent tool, the one with autocompletion enabled is so much easier to use. After enabling autocompletion you can see I now get parameter listing Free trial of SQL Backup™“SQL Backup was able to cut down my backup time significantly AND achieved a 90% compression at the same time!” Joe Cheng. Download a free trial now.

    Read the article

  • Learning PostgreSql: Embracing Change With Copying Types and VARCHAR(NO_SIZE_NEEDED)

    - by Alexander Kuznetsov
    PostgreSql 9.3 allows us to declare parameter types to match column types, aka Copying Types. Also it allows us to omit the length of VARCHAR fields, without any performance penalty. These two features make PostgreSql a great back end for agile development, because they make PL/PgSql more resilient to changes. Both features are not in SQL Server 2008 R2. I am not sure about later releases of SQL Server. Let us discuss them in more detail and see why they are so useful. Using Copying Types Suppose...(read more)

    Read the article

  • Importance of having EDU backlinks

    - by maisdesign
    I've built a few links on 50 EDU / GOV websites. 1 of them has PR 8, 3 of them have PR 7, 8 of them PR6,7 of them PR5,12 of them PR4,8 of them PR3, 1 of them PR2, 6 of them PR1, 10 of them PR0. My website has PR3 and is on first page of Google/Yahoo/Bing for a few keywords that I like How long will it take to notice a difference in PR or domain authority? (Don't tell me that PR has no value now, I know it but it is a 'fashion' thing). So you say that DOMAIN Authority isn't an important factor?

    Read the article

  • Contiguous Time Periods

    It is always more efficient to maintain referential integrity by using constraints rather than triggers. Sometimes it isn't obvious how to do this. Until a recent idea by Alex Kuznetsov, the history table presented problems for checking data that were difficult to solve with constraints. Joe Celko explains. Free trial of SQL Backup™“SQL Backup was able to cut down my backup time significantly AND achieved a 90% compression at the same time!” Joe Cheng. Download a free trial now.

    Read the article

  • TechEd 2014 Day 4

    - by John Paul Cook
    Many people visiting the SQL Server booth wanted to know how to improve performance. With so much attention being given to COLUMNSTORE and in-memory tables and stored procedures, it is easy to overlook how important tempdb is to performance. Speeding up tempdb I/O improves performance. The best way to do this is to not do the I/O in the first place. With SQL Server 2014, tempdb page management is smarter. Pages are more likely to be released before being unnecessarily flushed to disk. Read more about...(read more)

    Read the article

  • Azure, a Beautiful Color, and So Much More...

    - by KKline
    Windows and SQL Azure Resources Cloud computing is more than just the latest buzz word in the IT trade papers. It is a remarkable paradigm shift with as much potential to "turn over the apple cart" of IT computing as client-server had for the world of mainframe and minicomputers. If you're not spending time to learn about cloud computing, in general, and SQL Azure, in particular, then you're missing the boat in a big way. (Ha! Two big metaphors in one afternoon. My high-school English teacher would...(read more)

    Read the article

  • Planning for Disaster

    There is a certain paradox in being advised to expect the unexpected, but the DBA must plan and prepare in advance to protect their organisation's data assets in the event of an unexpected crisis, and return them to normal operating conditions. To minimise downtime in such circumstances should be the aim of every effective DBA. To plan for recovery, It pays to have the mindset of a pessimist. "It's the freaking iPhone of SQL monitoring""Everyone just gets it… that has tremendous value" - Rob Sullivan, DBA, IdeasRun. Get started with SQL Monitor today - download a free trial.

    Read the article

  • Improve Your Database Unit Testing Skills and Win Free Stuff

    As the SQL Developer community grows to embrace the benefits of test-driven development for databases, so the importance of learning to do it properly increases. One way of learning effective TDD is by the use of code kata – short practice sessions that encourage test-first development in baby steps. I have a limited number of licences for SQL Test to give away free – just for practicing a bit of TDD and telling me about it. Keep your database and application development in syncSQL Connect is a Visual Studio add-in that brings your databases into your solution. It then makes it easy to keep your database in sync, and commit to your existing source control system. Find out more.

    Read the article

< Previous Page | 714 715 716 717 718 719 720 721 722 723 724 725  | Next Page >