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  • SQL SERVER – Get 2 of My Books FREE at Koenig Tech Day – Where Technologies Converge!

    - by pinaldave
    As a regular reader of my blog – you must be aware of that I love to write books and talk about various subjects of my book. The founders of Koenig Solutions are my very old friends, I know them for many years. They have been my biggest supporter of my books. Coming weekend they have a technology event at their Bangalore Location. Every attendee of the technology event will get a set of two books worth Rs. 450 – ‘SQL Server Interview Questions And Answers‘ and ‘SQL Wait Stats Joes 2 Pros‘. I am going to cover a couple of topics of the books and present  as well. I am very confident that every attendee will be having a great time. I will be covering following subjects: SQL Server Tricks and Tips for Blazing Fast Performance Slow Running Queries (SQL) are the most common problem that developers face while working with SQL Server. While it is easy to blame the SQL Server for unsatisfactory performance, however the issue often persists with the way queries have been written, and how SQL Server has been set up. The session will focus on the ways of identifying problems that slow down SQL Servers, and tricks to fix them. Developers will walk out with scripts and knowledge that can be applied to their servers, immediately post the session. After the session is over – I will point to what exact location in the book where you can continue for the further learning. I am pretty excited, this is more like book reading but in entire different format. The one day event will cover four technologies in four separate interactive sessions on: Microsoft SQL Server Security VMware/Virtualization ASP.NET MVC Date of the event: Dec 15, 2012 9 AM to 6PM. Location of the event:  Koenig Solutions Ltd. # 47, 4th Block, 100 feet Road, 3rd Floor, Opp to Shanthi Sagar, Koramangala, Bangalore- 560034 Mobile : 09008096122 Office : 080- 41127140 Organizers have informed me that there are very limited seats for this event and technical session based on my book will start at Sharp 9 AM. If you show up late there are chances that you will not get any seats. Registration for the event is a MUST. Please visit this link for further information. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQLAuthority Author Visit, SQLAuthority News, T SQL, Technology

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  • T-SQL User-Defined Functions: the good, the bad, and the ugly (part 4)

    - by Hugo Kornelis
    Scalar user-defined functions are bad for performance. I already showed that for T-SQL scalar user-defined functions without and with data access, and for most CLR scalar user-defined functions without data access , and in this blog post I will show that CLR scalar user-defined functions with data access fit into that picture. First attempt Sticking to my simplistic example of finding the triple of an integer value by reading it from a pre-populated lookup table and following the standard recommendations...(read more)

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  • Broken package after update: linux-headers, error brokencount >0

    - by escozul
    Ubuntu 12.04. After an update, I get a red warning icon in the system tray, warning about an error: broken count 0 Opening Update manager, I see that the broken package is linux-headers-3.2.0-33-generic-pae (new install) Specificaly I have my ubuntu on an AspireOne with 8gb internal storage. I tried apt-get clean as suggested in another question on this site, and tried reinstalling the package in Synaptic. I have tried to reboot but to no avail. I have also tried apt-get install --fix-broken and I get the following: sudo apt-get install --fix-broken [sudo] password for elina: Reading package lists... Done Building dependency tree Reading state information... Done Correcting dependencies... Done The following extra packages will be installed: linux-headers-3.2.0-33-generic-pae The following NEW packages will be installed: linux-headers-3.2.0-33-generic-pae 0 upgraded, 1 newly installed, 0 to remove and 38 not upgraded. 1 not fully installed or removed. Need to get 0 B/977 kB of archives. After this operation 11,3 MB of additional disk space will be used. Do you want to continue [Y/n]; y (Reading database ... 437051 files and directories currently installed.) Unpacking linux-headers-3.2.0-33-generic-pae (from .../linux-headers-3.2.0-33-generic-pae_3.2.0-33.52_i386.deb) ... dpkg: error processing /var/cache/apt/archives/linux-headers-3.2.0-33-generic-pae_3.2.0-33.52_i386.deb (--unpack): unable to create `/usr/src/linux-headers-3.2.0-33-generic-pae/include/config/usb/gspca/sonixb.h.dpkg-new' (while processing `./usr/src/linux-headers-3.2.0-33-generic-pae/include/config/usb/gspca/sonixb.h'): No space left on device No apport report written because the error message indicates a disk full error dpkg-deb: error: subprocess paste was killed by signal (Broken pipe) Errors were encountered while processing: /var/cache/apt/archives/linux-headers-3.2.0-33-generic-pae_3.2.0-33.52_i386.deb E: Sub-process /usr/bin/dpkg returned an error code (1) I've tried all suggestions I could find: sudo apt-get clean sudo apt-get autoclean sudo apt-get autoremove sudo apt-get update sudo apt-get upgrade sudo apt-get -f install sudo apt-get install --fix-broken Then I saw that on the error there was a mention about free space. So I did a df -h and the result was: Filesystem Size Used Avail Use% Mounted on /dev/sda1 7,0G 5,5G 1,1G 84% / udev 235M 4,0K 235M 1% /dev tmpfs 97M 816K 96M 1% /run none 5,0M 0 5,0M 0% /run/lock none 242M 352K 242M 1% /run/shm I see that on my root folder I have 1.1Gb free. The broken package is linux-headers-3.2.0-33-generic-pae_3.2.0-33.52_i386.deb which only takes up 11.3Mb on my hard drive. I'm soooo lost. I really hope there is something I'm missing here. I don't want to go about reformatting this bucket. It's really not worth the time. Any help for fixing this would be hot.

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  • Decoding the SQL Server Index Structure

    A deep dive into the implementation of indexes in SQL Server 2008 R2. This is information that you must know in order to tune your queries for optimum performance. Partial scans of indexes are now possible! SQL Server monitoring made easy "Keeping an eye on our many SQL Server instances is much easier with SQL Response." Mike Lile.Download a free trial of SQL Response now.

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  • PASS Data Architecture VC presents Neil Hambly on Improve Data Quality & Integrity using Constraints

    On Tuesday June 19th 12PM noon Central, Neil Hambly will discuss "Leveraging the power of constraints to improve both data quality and performance of your databases." What are your servers really trying to tell you? Find out with new SQL Monitor 3.0, an easy-to-use tool built for no-nonsense database professionals.For effortless insights into SQL Server, download a free trial today.

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  • Move Data into the grid for scalable, predictable response times

    - by JuergenKress
    CloudTran is pleased to introduce the availability of the CloudTran Transaction and Persistence Manager for creating scalable, reliable data services on the Oracle Coherence In-Memory Data Grid (IMDG). Use of IMDG architectures has been key to handling today’s web-scale loads because it eliminates database latency by storing important and frequently access data in memory instead of on disk. The CloudTran product lets developers easily use an IMDG for full ACID-compliant transactions without having to be concerned about the location or spread of data. The system has its own implementation of fast, scalable distributed transactions that does NOT depend on XA protocols but still guarantees all ACID properties. Plus, CloudTran asynchronously replicates data going into the IMDG to back-end datastores and back-up data centers, again ensuring ACID properties. CloudTran can be accessed through Java Persistence API (JPA via TopLink Grid) and now, through a new Low-Level API, or LLAPI. This is ideal for use in SOA applications that need data reliability, high availability, performance, and scalability. It is still in its limited beta release, the LLAPI gives developers the ability to use standard put/remove logic available in Coherence and then wrap logic with simple Spring annotations or XML+AspectJ to start transactions. An important feature of LLAPI is the ability to join transactions. This is a common outcome for SOA applications that need to reduce network traffic by aggregating data into single cache entries and then doing SOA service processing in the node holding the data. This results in the need to orchestrate transaction processing across multiple service calls. CloudTran has the capability to handle these “multi-client” transactions at speed with no loss in ACID properties. Developing software around an IMDG like Oracle Coherence is an important choice for today’s web-scale applications and services. But this introduces new architectural considerations to maintain scalability in light of increased network loads and data movement. Without using CloudTran, developers are faced with an incredibly difficult task to ensure data reliability, availability, performance, and scalability when working with an IMDG. Working with highly distributed data that is entirely volatile while stored in memory presents numerous edge cases where failures can result in data loss. The CloudTran product takes care of all of this, leaving developers with the confidence and peace of mind that all data is processed correctly. For those interested in evaluating the CloudTran product and IMDGs, take a look at this link for more information: http://www.CloudTran.com/downloadAPI.ph , or send your questions to [email protected]. SOA & BPM Partner Community For regular information on Oracle SOA Suite become a member in the SOA & BPM Partner Community for registration please visit  www.oracle.com/goto/emea/soa (OPN account required) If you need support with your account please contact the Oracle Partner Business Center. Blog Twitter LinkedIn Mix Forum Technorati Tags: CloudTran,data grid,M,SOA Community,Oracle SOA,Oracle BPM,BPM,Community,OPN,Jürgen Kress

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  • Kicking off the ODI12c Blog Series

    - by Madhu Nair
    Normal 0 false false false EN-US ZH-TW X-NONE MicrosoftInternetExplorer4 It is always exciting to talk about a new release, especially one as significant as the newly released Oracle Data Integrator 12c (ODI12c). Why? Because it is packed with features that addresses many requirements for the user community. If you missed sneak previews at this year's Oracle Open World sessions, do not despair. Because over the coming weeks the ODI12c team of developers and consultants will be sharing their perspective on key features, experiences and best practices for ODI12c right here through a series of blogs. Before diving into feature details in subsequent blogs it helps to understand the overall themes that went into developing ODI12c. Let the Productivity Flow: Let us face it. Designing for developer user experience is always top of mind to any enterprise software. ODI12c addresses this through the introduction of declarative flow based mappings (the topic of our next ODI blog by the way!!). Reusability has been addressed though the introduction of reusable mappings cutting down development times for repeated logics. An enhanced debugger makes life easy for complex granular debugging scenarios. Unique repository IDs now allow you to manage multiple repositories. Performance is Paramount: Another major area of focus for ODI12c is performance. Increased parallelism (like the multiple target table load feature), reduced session overheads and ability to customize loads plans through physical views all empower the user to tune run times for extreme performances. mapping showing multiple target load physical representation allowing users to choose execution options Integrating it all: This release is not just about ODI12c as a standalone product. Closer integration with Oracle GoldenGate now brings Change Data Capture (CDC) capabilities into ODI12c. Oracle Warehouse Builder (OWB) jobs can now be executed and monitored from within ODI12c. And ODI12c is fast becoming the de facto standard for Oracle Applications that need data integration in their solutions. The best example being the latest release of the Oracle BI Applications technology. Even as we bring you in-depth write-ups about the features there are some great previews and resources that are already out there. Like this super entry by beta partner Rittman Mead Consulting and this ODI12c Key Features White Paper. You can download ODI12c here (this post helps). The best though is the upcoming Executive Webcast featuring customers and executives who have seen and conceived the product. Don’t miss it!

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  • On-Demand Webcast: Managing Oracle Exadata with Oracle Enterprise Manager 11g

    - by Scott McNeil
    Watch this on-demand webcast and discover how Oracle Enterprise Manager 11g's unique management capabilities allow you to efficiently manage all stages of Oracle Exadata's lifecycle, from testing applications on Exadata to deployment. You'll learn how to: Maximize and predict database performance Drive down IT operational costs through automation Ensure service quality with proactive management Register today and unlock the potential of Oracle Exadata for your enterprise. Register Now!

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  • Virtual Machine Storage Provisioning and best practises

    If you're using Virtualization technology, then at some point you'll have run out of (or will run out of) virtual disk space, & had to provision extra storage; are you confident that you know how to do that? Sean Duffy makes sure you're doing it right, sharing his recommendations and tips in this step-by-step guide to Virtual Machine Storage provisioning for VMware. Follow this advice, and you'll be a Virtualization Veteran in no time.

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  • Business Strategy - Google Case Study

    Business strategy defined by SMBTN.com is a term used in business planning that implies a careful selection and application of resources to obtain a competitive advantage in anticipation of future events or trends. In more general terms business strategy is positioning a company so that it has the greatest competitive advantage over others in the markets and industries that they participate in. This process involves making corporate decisions regarding which markets to provide goods and services, pricing, acceptable quality levels, and how to interact with others in the marketplace. The primary objective of business strategy is to create and increase value for all of its shareholders and stakeholders through the creation of customer value. According to InformationWeek.com, Google has a distinctive technology advantage over its competitors like Microsoft, eBay, Amazon, Yahoo. Google utilizes custom high-performance systems which are cost efficient because they can scale to extreme workloads. This hardware allows for a huge cost advantage over its competitors. In addition, InformationWeek.com interviewed Stephen Arnold who stated that Google’s programmers are 50%-100% more productive compared to programmers working for their competitors.  He based this theory on Google’s competitors having to spend up to four times as much just to keep up. In addition to Google’s technological advantage, they also have developed a decentralized management schema where employees report directly to multiple managers and team project leaders. This allows for the responsibility of the technology department to be shared amongst multiple senior level engineers and removes the need for a singular department head to oversee the activities of the department.  This is a unique approach from the standard management style. Typically a department head like a CIO or CTO would oversee the department’s global initiatives and business functionality.  This would then be passed down and administered through middle management and implemented by programmers, business analyst, network administrators and Database administrators. It goes without saying that an IT professional’s responsibilities would be directed by Google’s technological advantage and management strategy.  Simply because they work within the department, and would have to design, develop, and support the high-performance systems and would have to report multiple managers and project leaders on a regular basis. Since Google was established and driven by new and immerging technology, all other departments would be directly impacted by the technology department.  In fact, they would have to cater to the technology department since it is a huge driving for in the success of Google. Reference: http://www.smbtn.com/smallbusinessdictionary/#b http://www.informationweek.com/news/software/linux/showArticle.jhtml?articleID=192300292&pgno=1&queryText=&isPrev=

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  • Can't format / delete locked partition from gparted?

    - by tech
    I cannot format my hard disk for ubuntu installation. It has Fedora installed in it. I wonder how to unlock the locked partition to delete and format it, since I am stucked at installing ubuntu. I am now using a livecd to do the task. No options are available for me to use. Link to screenshot: http://img822.imageshack.us/img822/7929/screenshotfrom201211151.png If you have any questions, please ask below.

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  • What&rsquo;s new in RadChart for 2010 Q1 (Silverlight / WPF)

    Greetings, RadChart fans! It is with great pleasure that I present this short highlight of our accomplishments for the Q1 release :). Weve worked very hard to make the best silverlight and WPF charting product even better. Here is some of what we did during the past few months.   1) Zooming&Scrolling and the new sampling engine: Without a doubt one of the most important things we did. This new feature allows you to bind your chart to a very large set of data with blazing performance. Dont take my word for it give it a try!   2) New Smart Label Positioning and Spider-like labels feature: This new feature really helps with very busy graphs. You can play with the different settings we offer in this example.   3) Sorting and Filtering. Much like our RadGridview control the chart now allows you to sort and filter your data out of the box with a single line of code!   4) Legend improvements Weve also been paying attention to those of you who wanted a much improved legend. It is now possible to customize the look and feel of legend items and legend position with a single click.   5) Custom palette brushes. You have told us that you want to easily customize all palette colors using a single clean API from both XAML and code behind. The new custom palette brushes API does exactly that.   There are numerous other improvements as well, as much improved themes, performance optimizations and other features that we did. If you want to dig in further check the release notes and changes and backwards compatibility topics.   Feel free to share the pains and gains of working with RadChart. Our team is always open to receiving constructive feedback and beer :-)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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  • A Real-Time HPC Approach for Optimizing Multicore Architectures

    Complex math is at the heart of many of the biggest technical challenges. With multicore processors, the type of calculations that would have required a supercomputer can now be performed in real-time, embedded environments. High-performance computing - Supercomputer - Real-time computing - Operating system - Companies

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  • Installing Windows 8 over 12.04, but getting "error: unknown filesystem"

    - by Shane O'Connor
    I have had bad experiences with 12.04 on my laptop, too many things just dont work so am wiping it and replacing with Windows 8 release preview to get it running again. Anyway, I installed normally, deleted partitions and formatted and installed windows fine, but now there is an error coming up when it boots: error: unknown filesystem grub rescue Ive tried repairing from Windows 8 disk, doing FixMbr and FixBoot but hasnt worked, neither has reinstalling. Any ideas how to get rid of this?

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  • Does Hard Drive Orientation Affect Its Lifespan?

    - by Jason Fitzpatrick
    Many cases allow you to mount drives in vertical or horizontal configurations and external drives can be easily repositioned. Does the orientation of the hard drive affect the performance and longevity of the drive? Today’s Question & Answer session comes to us courtesy of SuperUser—a subdivision of Stack Exchange, a community-drive grouping of Q&A web sites. 6 Ways Windows 8 Is More Secure Than Windows 7 HTG Explains: Why It’s Good That Your Computer’s RAM Is Full 10 Awesome Improvements For Desktop Users in Windows 8

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  • Heroku Postgres: A New SQL Database-as-a-Service

    Idera, a Houston-based company known worldwide for its SQL Server solutions in the realms of backup and recovery, performance monitoring, auditing, security, and more, recently announced that it had won five of SQL Server Magazine's 2011 Community Choice Awards. SQL Server Magazine, a publication produced by Penton Media, offers SQL Server users, both beginning and advanced, a host of hands-on information delivered by SQL Server experts. The magazine presented Idera with 2011 Community Choice Awards for five separate products which will only serve to boost the already strong reputation of it...

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  • When SQL Server Nonclustered Indexes Are Faster Than Clustered Indexes

    SQL Server Clustered indexes can have enormous implications for performance of operations on a table. But are there times when a SQL Server non-clustered index would perform better than a clustered index for the same operation? Are there any trade-offs to consider? Check out this tip to learn more. Deployment Manager 2 is now free!The new version includes tons of new features and we've launched a completely free Starter Edition! Get Deployment Manager here

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  • 9/18 Live Webcast: Three Compelling Reasons to Upgrade to Oracle Database 11g - Still time to register

    - by jgelhaus
    If you or your organization is still working with Oracle Database 10g or an even older version, now is the time to upgrade. Oracle Database 11g offers a wide variety of advantages to enhance your operation. Join us 10 am PT / 1pm ET September 18th for this live Webcast and learn about what you’re missing: the business, operational, and technical benefits. With Oracle Database 11g, you can: Upgrade with zero downtime Improve application performance and database security Reduce the amount of storage required Save time and money Register today 

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  • At The ATM: The Challenge of Tiny Buttons [Video]

    - by Jason Fitzpatrick
    If you’ve ever mis-mashed the buttons on an electronic device because your fingers are just too big, you’ll appreciate the situation this cheerful but massive fingered fellow gets into. Courtesy of Rikke Asbjoern, created while interning at Cartoon Network, the video is sure to hit home with those of us that fumble keypads and buttons wherever we go. [via Neatorama] HTG Explains: What Is RSS and How Can I Benefit From Using It? HTG Explains: Why You Only Have to Wipe a Disk Once to Erase It HTG Explains: Learn How Websites Are Tracking You Online

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  • An XEvent a Day (28 of 31) – Tracking Page Compression Operations

    - by Jonathan Kehayias
    The Database Compression feature in SQL Server 2008 Enterprise Edition can provide some significant reductions in storage requirements for SQL Server databases, and in the right implementations and scenarios performance improvements as well.  There isn’t really a whole lot of information about the operations of database compression that is documented as being available in the DMV’s or SQL Trace.  Paul Randal pointed out on Twitter today that sys.dm_db_index_operational_stats() provides...(read more)

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  • What is new in Oracle SOA Suite 11g R1 PS6? by Shanny Anoep

    - by JuergenKress
    Oracle has released a new version 11.1.1.7.0 for their Oracle Fusion Middleware product line. This version includes Patch Set #6 (PS6) for Oracle SOA Suite 11g R1, with a big list of improvements and fixes for each component in that suite. In this post we will highlight some of the interesting updates with regards to troubleshooting, performance, reliability and scalability. Infrastructure/Purging scripts Database growth is a common problem for large-scale Oracle SOA Suite deployments. Oracle already provides multiple purging strategies for the SOA Suite runtime database. This patch set includes two new scripts for purging most of the runtime data: Table Recreation Script (TRS): This script can be used to reclaim as much database space as possible, while still retaining the open instances. It can be used as a corrective action for databases that grew excessively, for example when purging was not performed at all. This should be used as a single corrective action only; the script does not replace the normal purging scripts. Truncate script: Remove all records from the SOA Suite runtime tables without dropping the tables. This script can be used for cloning SOA Suite environments without copying the instance data, or for recreating test scenarios by cleaning all the runtime data. The Oracle SOA Suite Administrator's guide contains a table with the available purging strategies. Diagnostic dumps Using WLST you could already dump diagnostic information about various components of the SOA Suite. This version adds support to retrieve more information on BPEL and Adapters from the command-line. Diagnostic dumps for BPEL New diagnostic dumps are available for BPEL to get information on thread pools, average processing time for BPEL components, and average waiting times for asynchronous instances. This information can be very useful for performance analysis or troubleshooting. With WLST this information can be retrieved from the command-line and included for monitoring or reporting. Read the full article here. SOA & BPM Partner Community For regular information on Oracle SOA Suite become a member in the SOA & BPM Partner Community for registration please visit www.oracle.com/goto/emea/soa (OPN account required) If you need support with your account please contact the Oracle Partner Business Center. Blog Twitter LinkedIn Facebook Wiki Mix Forum Technorati Tags: SOA Suite PS6,SOA Community,Oracle SOA,Oracle BPM,Community,OPN,Jürgen Kress

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  • Webcast: John Fowler Reveals The Next Step In Data Center Consolidation – June 27 At 10 AM PT

    - by Roxana Babiciu
    Completely integrated solutions are just better. But don't take our word for it - encourage your customers and prospects to join this live webcast featuring Oracle EVP John Fowler to find out why. Participants will learn how consolidating their existing data center to this new generation of solutions will simplify architectures, jump start application deployment and improve system performance - with easy self-service and private cloud capabilities.

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  • External File Upload Optimizations for Windows Azure

    - by rgillen
    [Cross posted from here: http://rob.gillenfamily.net/post/External-File-Upload-Optimizations-for-Windows-Azure.aspx] I’m wrapping up a bit of the work we’ve been doing on data movement optimizations for cloud computing and the latest set of data yielded some interesting points I thought I’d share. The work done here is not really rocket science but may, in some ways, be slightly counter-intuitive and therefore seemed worthy of posting. Summary: for those who don’t like to read detailed posts or don’t have time, the synopsis is that if you are uploading data to Azure, block your data (even down to 1MB) and upload in parallel. Set your block size based on your source file size, but if you must choose a fixed value, use 1MB. Following the above will result in significant performance gains… upwards of 10x-24x and a reduction in overall file transfer time of upwards of 90% (eg, uploading a 1GB file averaged 46.37 minutes prior to optimizations and averaged 1.86 minutes afterwards). Detail: For those of you who want more detail, or think that the claims at the end of the preceding paragraph are over-reaching, what follows is information and code supporting these claims. As the title would indicate, these tests were run from our research facility pointing to the Azure cloud (specifically US North Central as it is physically closest to us) and do not represent intra-cloud results… we have performed intra-cloud tests and the overall results are similar in notion but the data rates are significantly different as well as the tipping points for the various block sizes… this will be detailed separately). We started by building a very simple console application that would loop through a directory and upload each file to Azure storage. This application used the shipping storage client library from the 1.1 version of the azure tools. The only real variation from the client library is that we added code to collect and record the duration (in ms) and size (in bytes) for each file transferred. The code is available here. We then created a directory that had a collection of files for the following sizes: 2KB, 32KB, 64KB, 128KB, 512KB, 1MB, 5MB, 10MB, 25MB, 50MB, 100MB, 250MB, 500MB, 750MB, and 1GB (50 files for each size listed). These files contained randomly-generated binary data and do not benefit from compression (a separate discussion topic). Our file generation tool is available here. The baseline was established by running the application described above against the directory containing all of the data files. This application uploads the files in a random order so as to avoid transferring all of the files of a given size sequentially and thereby spreading the affects of periodic Internet delays across the collection of results.  We then ran some scripts to split the resulting data and generate some reports. The raw data collected for our non-optimized tests is available via the links in the Related Resources section at the bottom of this post. For each file size, we calculated the average upload time (and standard deviation) and the average transfer rate (and standard deviation). As you likely are aware, transferring data across the Internet is susceptible to many transient delays which can cause anomalies in the resulting data. It is for this reason that we randomized the order of source file processing as well as executed the tests 50x for each file size. We expect that these steps will yield a sufficiently balanced set of results. Once the baseline was collected and analyzed, we updated the test harness application with some methods to split the source file into user-defined block sizes and then to upload those blocks in parallel (using the PutBlock() method of Azure storage). The parallelization was handled by simply relying on the Parallel Extensions to .NET to provide a Parallel.For loop (see linked source for specific implementation details in Program.cs, line 173 and following… less than 100 lines total). Once all of the blocks were uploaded, we called PutBlockList() to assemble/commit the file in Azure storage. For each block transferred, the MD5 was calculated and sent ensuring that the bits that arrived matched was was intended. The timer for the blocked/parallelized transfer method wraps the entire process (source file splitting, block transfer, MD5 validation, file committal). A diagram of the process is as follows: We then tested the affects of blocking & parallelizing the transfers by running the updated application against the same source set and did a parameter sweep on the block size including 256KB, 512KB, 1MB, 2MB, and 4MB (our assumption was that anything lower than 256KB wasn’t worth the trouble and 4MB is the maximum size of a block supported by Azure). The raw data for the parallel tests is available via the links in the Related Resources section at the bottom of this post. This data was processed and then compared against the single-threaded / non-optimized transfer numbers and the results were encouraging. The Excel version of the results is available here. Two semi-obvious points need to be made prior to reviewing the data. The first is that if the block size is larger than the source file size you will end up with a “negative optimization” due to the overhead of attempting to block and parallelize. The second is that as the files get smaller, the clock-time cost of blocking and parallelizing (overhead) is more apparent and can tend towards negative optimizations. For this reason (and is supported in the raw data provided in the linked worksheet) the charts and dialog below ignore source file sizes less than 1MB. (click chart for full size image) The chart above illustrates some interesting points about the results: When the block size is smaller than the source file, performance increases but as the block size approaches and then passes the source file size, you see decreasing benefit to the point of negative gains (see the values for the 1MB file size) For some of the moderately-sized source files, small blocks (256KB) are best As the size of the source file gets larger (see values for 50MB and up), the smallest block size is not the most efficient (presumably due, at least in part, to the increased number of blocks, increased number of individual transfer requests, and reassembly/committal costs). Once you pass the 250MB source file size, the difference in rate for 1MB to 4MB blocks is more-or-less constant The 1MB block size gives the best average improvement (~16x) but the optimal approach would be to vary the block size based on the size of the source file.    (click chart for full size image) The above is another view of the same data as the prior chart just with the axis changed (x-axis represents file size and plotted data shows improvement by block size). It again highlights the fact that the 1MB block size is probably the best overall size but highlights the benefits of some of the other block sizes at different source file sizes. This last chart shows the change in total duration of the file uploads based on different block sizes for the source file sizes. Nothing really new here other than this view of the data highlights the negative affects of poorly choosing a block size for smaller files.   Summary What we have found so far is that blocking your file uploads and uploading them in parallel results in significant performance improvements. Further, utilizing extension methods and the Task Parallel Library (.NET 4.0) make short work of altering the shipping client library to provide this functionality while minimizing the amount of change to existing applications that might be using the client library for other interactions.   Related Resources Source code for upload test application Source code for random file generator ODatas feed of raw data from non-optimized transfer tests Experiment Metadata Experiment Datasets 2KB Uploads 32KB Uploads 64KB Uploads 128KB Uploads 256KB Uploads 512KB Uploads 1MB Uploads 5MB Uploads 10MB Uploads 25MB Uploads 50MB Uploads 100MB Uploads 250MB Uploads 500MB Uploads 750MB Uploads 1GB Uploads Raw Data OData feeds of raw data from blocked/parallelized transfer tests Experiment Metadata Experiment Datasets Raw Data 256KB Blocks 512KB Blocks 1MB Blocks 2MB Blocks 4MB Blocks Excel worksheet showing summarizations and comparisons

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  • An XEvent a Day (26 of 31) – Configuring Session Options

    - by Jonathan Kehayias
    There are 7 Session level options that can be configured in Extended Events that affect the way an Event Session operates.  These options can impact performance and should be considered when configuring an Event Session.  I have made use of a few of these periodically throughout this months blog posts, and in today’s blog post I’ll cover each of the options separately, and provide further information about their usage.  Mike Wachal from the Extended Events team at Microsoft, talked...(read more)

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