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  • Calculating RAM Performance? Example: DDR3-2133 CL9-11-10-28 1.65V vs DDR3-1600 CL10-10-10-30 1.5V

    - by user1131467
    How do you calculate the relative performance of PC RAM? For example, what is the relative performance of the following: G.Skill Ripjaws Z 8 x 4GB Kit, DDR3-2133, [email protected] G.Skill Ripjaws Z 4 x 8GB Kit, DDR3-1600, [email protected] If it's relevant, when they are used in a top of the line ASUS Rampage IV Extreme motherboard and Intel i7 3960X? By performance, I mean relative: read latency write latency read bandwidth write bandwidth Please include working. (I mean how did you arrive at the figures based on timing and DDR3-speed)

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  • Consolidating SQL Server Error Logs from Multiple Instances Using SSIS

    SQL Server hides a lot of very useful information in its error log files. Unfortunately, the process of hunting through all these logs, file-by-file, server-by-server, can cause a problem. Rodney Landrum offers a solution which will allow you to pull error log records from multiple servers into a central database, for analysis and reporting with T-SQL.

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  • PPT Leveraging Azure for Performance Testing

    - by Tarun Arora
    I have recently presented a session on “How you can leverage Azure for Performance Testing” your application.  It goes without saying that performance testing your application not only gives you the confidence that the application will work under heavy levels of stress but also gives you the ability to test how scalable the architecture of your application is. It is important to know how much is too much for your application! Working with various clients in the industry I have realized that the biggest barrier in Load Testing & Performance Testing adoption is the high infrastructure and administration cost that comes with this phase of testing. In the session I tried to demonstrate how you can use the power of Windows Azure to effectively abstract the administration cost of infrastructure management and lower the total cost of Load & Performance Testing. You can view the session presentation here, http://www.slideshare.net/aroratarun/leveraging-azure-for-performance-testing  I’ll be adding a video on this subject shortly… If you have any feedback or further suggestions to add to the goodness of this solution please get in touch.

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  • Consolidating SQL Server Error Logs from Multiple Instances Using SSIS

    SQL Server hides a lot of very useful information in its error log files. Unfortunately, the process of hunting through all these logs, file-by-file, server-by-server, can cause a problem. Rodney Landrum offers a solution which will allow you to pull error log records from multiple servers into a central database, for analysis and reporting with T-SQL....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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  • SSIS 2008 Import and Export Wizard and Excel-based Data

    Even though the Import and Export Wizard, incorporated into the SQL Server 2008 platform, greatly simplifies the creation of SQL Server Integration Services packages, it has its limitations. This article points out the primary challenges associated with using it to copy data between SQL Server 2008 and Excel and presents methods of addressing these challenges.

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  • Script Task and Event Logging in SSIS

    components. These same configuration settings can be leveraged in Script Task, but you also have the option of triggering and tracking events in a considerably more customizable manner. This article explores features that provide this flexibility. NEW! SQL Monitor 2.0Monitor SQL Server Central's servers withRed Gate's new SQL Monitor.No installation required. Find out more.

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  • Harping on Metadata Performance: New Benchmarks

    <b>Linux Magazine:</b> "Metadata performance is perhaps the most neglected facet of storage performance. In previous articles we&#8217;ve looked into how best to improve metadata performance without too much luck. Could that be a function of the benchmark? Hmmm..."

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  • Nvidia Powermizer Performance Levels

    - by jeffrey
    Is there anyway to configure Nvidia Powerimizer performance levels? My current setup has 3 power levels with the lowest one being 50mhz. The problem with this it that it lags compiz when it goes to the lowest performance level 0. Minimizing, maximizing, dragging windows, etc. are all sluggish when it's at the lowest level. Once powermizer leaves level 0 everything is very smooth and runs great. Is there anyway for me to remove level 0 and just run Level the two higher levels 1/2? I don't want to complete disable powermizer, but I can't stand the lagging once powermizer goes into performance level 0. Setting the option "prefer maximum performance" fixes the problem as it disables powermizer, but the GPU is overkill at stock speeds for most desktop use @ 850mhz. intel i5 2500k asus gene-z z68 evga 560ti fpb (driver 295.40) ubuntu 12.04 LTS x64

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  • Export images from a SQL Server Table to a Folder with SSIS

    Can I export images from SQL Server to a file in Windows? What SQL Server options are available to do so? Check out this tip to learn more. 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.

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  • Upgrading SSIS Custom Components for SQL Server 2012

    Having finally got around to upgrading my custom components to SQL Server 2012, I thought I’d share some notes on the process. One of the goals was minimal duplication, so the same code files are used to build the 2008 and 2012 components, I just have a separate project file. What can SQL Monitor 3.2 monitor?Whatever you think is most important. Use custom metrics to monitor and alert on data that's most important for your environment. Find out more.

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  • Sorting data in the SSIS Pipeline (Video)

    In this post I want to show a couple of ways to order the data that comes into the pipeline. a number of people have asked me about this primarily because there are a number of ways to do it but also because some components in the pipeline take sorted inputs. One of the methods I show is visually easy to understand and the other is less visual but potentially more performant.

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  • Delphi: Fast(er) widestring concatenation

    - by Ian Boyd
    i have a function who's job is to convert an ADO Recordset into html: class function RecordsetToHtml(const rs: _Recordset): WideString; And the guts of the function involves a lot of wide string concatenation: while not rs.EOF do begin Result := Result+CRLF+ '<TR>'; for i := 0 to rs.Fields.Count-1 do Result := Result+'<TD>'+VarAsString(rs.Fields[i].Value)+'</TD>'; Result := Result+'</TR>'; rs.MoveNext; end; With a few thousand results, the function takes, what any user would feel, is too long to run. The Delphi Sampling Profiler shows that 99.3% of the time is spent in widestring concatenation (@WStrCatN and @WstrCat). Can anyone think of a way to improve widestring concatenation? i don't think Delphi 5 has any kind of string builder. And Format doesn't support Unicode. And to make sure nobody tries to weasel out: pretend you are implementing the interface: IRecordsetToHtml = interface(IUnknown) function RecordsetToHtml(const rs: _Recordset): WideString; end; Update One I thought of using an IXMLDOMDocument, to build up the HTML as xml. But then i realized that the final HTML would be xhtml and not html - a subtle, but important, difference. Update Two Microsoft knowledge base article: How To Improve String Concatenation Performance

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  • What are provenly scalable data persistence solutions for consumer profiles?

    - by Hubbard
    Consumer profiles with analytical scores [ConsumerID, 1..n demographical variables, 1...n analytical scores e.g. "likely to churn" "likely to buy an item 100$ in worth" etc.] have to be possible to query fast if they are to be used in customizing web-sites, consumer communications etc. Well. If you have: Large number of consumers Large profiles with a huge set of variables (as profiles describing human behaviour are likely to be..) ...you are in trouble. If you really have a physical relational database to which you target a query and then a physical disk starts to rotate someplace to give you an individual profile or a set of profiles, the profile user (a web site customizing a page, a recommendation engine making a recommendation..) has died of boredom before getting any observable results. There is the possibility of having the profiles in memory, which would of course increase the performance hugely. What are the most proven solutions for a fast-response, scalable consumer profile storage? Is there a shootout of these someplace?

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  • Update table instantly or “Bulk” Update in database later? And is it advisable?

    - by Mestika
    Hi, I have a question regarding a semi-constant update in a database. In short it is regarding a checkout function on a web page, which each time the checkout function is evoked it do five steps. I want to try to optimize this function and have my eye on a step where I update a table each time the checkout is performed. I take the information retrieved from the shopping cart and then update the table in question. I do have some indexes on the table, the gain from those are greater than leaving them so this is a cost I’m willing to take. Now, my question is. Could it in some way regarding to performance be better to not update the table instantly but collect every checkout items and save them in some way (maybe in a file) and then at a specific time (or several times) at day take this file and then update the table with the new information. Then I started thinking about if there was a possibility to use some sort of Bulk Update to take a file, hashmap, array (or?) and then update it. And I’m using IBM DB2 version 9.7 Mestika

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  • SQL SERVER – What is Spatial Database? – Developing with SQL Server Spatial and Deep Dive into Spati

    - by pinaldave
    What is Spatial Database? A spatial database is a database that is optimized to store and query data related to objects in space, including points, lines and polygons. While typical databases can understand various numeric and character types of data, additional functionality needs to be added for databases to process spatial data types. (Source: Wikipedia) Today I will be talking about the same subject at Microsoft TechEd India. If you want to learn about how to spatial aspect of data and how to integrate them with SQL Server this is the perfect session for you. Spatial is very special concept of SQL Server and I really like how it is implemented in SQL Server. In general Performance Tuning and Query Optimization is something I always have enjoyed in my professional life. Index are my best friends and many time, by implementing and many time by removing I have improved the performance of the system. In this session, I will be talking about Index along with Spatial Data. As Spatial Database is very interesting concept, I will cover super short but very interesting 10 quick slides about this subject. I will make sure in very first 20 mins, you will understand following topics Introduction to Spatial Database One line definition Understanding Spatial Indexing Index Internals Query/Performance Tuning Query Hinting/Cost Analysis Spatial Index Catalog Views Performance Troubleshooting Finding Optimal Index using Spatial Index SP Common Errors Index Maintenance This slides decks will be followed by around 30 mins demo which will have story of geometry, geography, index internals and performance tuning. If you are interested in learning how GIS works and how SQL Server out of the box supports this wonderful tools, you will really like how the story is told. I am sure all people who attend the event will know how the Bangalore is positioned on the map of India. I will take example of Bangalore and Hyderabad and demonstrate how index can improve the performance. Well there are lots of story to tell in the session, and I will be opening this session with the beautiful script of Botticelli’s Birth of Venus created by Michael J. Swart. I will also demonstrate few real life scenario where I will be talking about Spatial Database and its usage. Do not miss this session. At the end of session there will be book awarded to best participant. My session details: Session 3: Developing with SQL Server Spatial and Deep Dive into Spatial Indexing Date: April 14, 2010 Time: 5:00pm-6:00pm Microsoft SQL Server 2008 delivers new spatial data types that enable you to consume, use, and extend location-based data through spatial-enabled applications. Attend this session to learn how to use spatial functionality in next version of SQL Server to build and optimize spatial queries. This session outlines the new geography data type to store geodetic spatial data and perform operations on it, use the new geometry data type to store planar spatial data and perform operations on it, take advantage of new spatial indexes for high performance queries, use the new spatial results tab to quickly and easily view spatial query results directly from within Management Studio, extend spatial data capabilities by building or integrating location-enabled applications through support for spatial standards and specifications and much more. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, SQL, SQL Authority, SQL Index, SQL Optimization, SQL Performance, SQL Query, SQL Server, SQL Tips and Tricks, SQLAuthority Author Visit, T SQL, Technology Tagged: Spatial Database

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  • Columnstore Case Study #2: Columnstore faster than SSAS Cube at DevCon Security

    - by aspiringgeek
    Preamble This is the second in a series of posts documenting big wins encountered using columnstore indexes in SQL Server 2012 & 2014.  Many of these can be found in my big deck along with details such as internals, best practices, caveats, etc.  The purpose of sharing the case studies in this context is to provide an easy-to-consume quick-reference alternative. See also Columnstore Case Study #1: MSIT SONAR Aggregations Why Columnstore? As stated previously, If we’re looking for a subset of columns from one or a few rows, given the right indexes, SQL Server can do a superlative job of providing an answer. If we’re asking a question which by design needs to hit lots of rows—DW, reporting, aggregations, grouping, scans, etc., SQL Server has never had a good mechanism—until columnstore. Columnstore indexes were introduced in SQL Server 2012. However, they're still largely unknown. Some adoption blockers existed; yet columnstore was nonetheless a game changer for many apps.  In SQL Server 2014, potential blockers have been largely removed & they're going to profoundly change the way we interact with our data.  The purpose of this series is to share the performance benefits of columnstore & documenting columnstore is a compelling reason to upgrade to SQL Server 2014. The Customer DevCon Security provides home & business security services & has been in business for 135 years. I met DevCon personnel while speaking to the Utah County SQL User Group on 20 February 2012. (Thanks to TJ Belt (b|@tjaybelt) & Ben Miller (b|@DBADuck) for the invitation which serendipitously coincided with the height of ski season.) The App: DevCon Security Reporting: Optimized & Ad Hoc Queries DevCon users interrogate a SQL Server 2012 Analysis Services cube via SSRS. In addition, the SQL Server 2012 relational back end is the target of ad hoc queries; this DW back end is refreshed nightly during a brief maintenance window via conventional table partition switching. SSRS, SSAS, & MDX Conventional relational structures were unable to provide adequate performance for user interaction for the SSRS reports. An SSAS solution was implemented requiring personnel to ramp up technically, including learning enough MDX to satisfy requirements. Ad Hoc Queries Even though the fact table is relatively small—only 22 million rows & 33GB—the table was a typical DW table in terms of its width: 137 columns, any of which could be the target of ad hoc interrogation. As is common in DW reporting scenarios such as this, it is often nearly to optimize for such queries using conventional indexing. DevCon DBAs & developers attended PASS 2012 & were introduced to the marvels of columnstore in a session presented by Klaus Aschenbrenner (b|@Aschenbrenner) The Details Classic vs. columnstore before-&-after metrics are impressive. Scenario Conventional Structures Columnstore ? SSRS via SSAS 10 - 12 seconds 1 second >10x Ad Hoc 5-7 minutes (300 - 420 seconds) 1 - 2 seconds >100x Here are two charts characterizing this data graphically.  The first is a linear representation of Report Duration (in seconds) for Conventional Structures vs. Columnstore Indexes.  As is so often the case when we chart such significant deltas, the linear scale doesn’t expose some the dramatically improved values corresponding to the columnstore metrics.  Just to make it fair here’s the same data represented logarithmically; yet even here the values corresponding to 1 –2 seconds aren’t visible.  The Wins Performance: Even prior to columnstore implementation, at 10 - 12 seconds canned report performance against the SSAS cube was tolerable. Yet the 1 second performance afterward is clearly better. As significant as that is, imagine the user experience re: ad hoc interrogation. The difference between several minutes vs. one or two seconds is a game changer, literally changing the way users interact with their data—no mental context switching, no wondering when the results will appear, no preoccupation with the spinning mind-numbing hurry-up-&-wait indicators.  As we’ve commonly found elsewhere, columnstore indexes here provided performance improvements of one, two, or more orders of magnitude. Simplified Infrastructure: Because in this case a nonclustered columnstore index on a conventional DW table was faster than an Analysis Services cube, the entire SSAS infrastructure was rendered superfluous & was retired. PASS Rocks: Once again, the value of attending PASS is proven out. The trip to Charlotte combined with eager & enquiring minds let directly to this success story. Find out more about the next PASS Summit here, hosted this year in Seattle on November 4 - 7, 2014. DevCon BI Team Lead Nathan Allan provided this unsolicited feedback: “What we found was pretty awesome. It has been a game changer for us in terms of the flexibility we can offer people that would like to get to the data in different ways.” Summary For DW, reports, & other BI workloads, columnstore often provides significant performance enhancements relative to conventional indexing.  I have documented here, the second in a series of reports on columnstore implementations, results from DevCon Security, a live customer production app for which performance increased by factors of from 10x to 100x for all report queries, including canned queries as well as reducing time for results for ad hoc queries from 5 - 7 minutes to 1 - 2 seconds. As a result of columnstore performance, the customer retired their SSAS infrastructure. I invite you to consider leveraging columnstore in your own environment. Let me know if you have any questions.

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  • Ado.net performance:What does SNIReadSync do?

    - by Beatles1692
    We have a query that takes 2 seconds to run in Sql Server Management Studio but it takes 13 seconds to be shown on a client screen. I used dotTrace to profile my source code and noticed there is this SNIReadSync method (part of ADO.net assemblies)that takes a lot of time to do its job(9 seconds).I ran my source over server so I could omit the network effects and the result was the same. It doesn't matter if I'm using OleDBConnection or SqlConnection. It doesn't matter if I'm using a DataReader or a DataSet. Connection pooling does not solve this issue(as my result shows). I googled this issue and I couldn't find an answer to the question that what this method is actually doing and how we can improve it. here's what I found on StakOverFlow that's not helpful either: http://stackoverflow.com/questions/1610874/snireadsync-executing-between-120-500-ms-for-a-simple-query-what-do-i-look-for

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  • C# XDocument Attribute Performance Concerns

    - by Dested
    I have a loaded XDocument that I need to grab all the attributes that equal a certain value and is of a certain element efficiently. My current IEnumerable<XElement> vm; if (!cacher2.TryGetValue(name,out vm)) { vm = project.Descendants(XName.Get(name)); cacher2.Add(name, vm); } XElement[] abdl = (vm.Where(a => a.Attribute(attribute).Value == ab)).ToArray(); cacher2 is a Dictionary<string,IEnumerable<XElement>> The ToArray is so I can evaluate the expression now. I dont think this causes any real speed concerns. The problem is the Where itself. I am searching through anywhere from 1 to 10k items. Any help?

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