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  • Does Windows performance degrade past a certain level of CPU utilization?

    - by Mike Taylor
    Is there a recommended average CPU threshold in running Windows boxes based on experience in other shops? Background: We are running with Windows Server 2003 32-bit OS. Servers are handling a major enterprise-level web application suite with a high frequency of small transactions mixed in with much larger transactions - overall average is 13ms. Our average overall CPU utilization of the Windows servers are ~60% during prime-shift. And we question at what level does the Windows OS begin to shimmy on the CPU scheduling road? Thanks.

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  • How can I verify that my SSD is performing as it should?

    - by Jon Skeet
    EDIT: Okay, so I've no idea what caused the change, but after trying loads of different things to work out what was wrong, I've rerun the WEI (about the 4th time in total) and the score has jumped to a far more respectable 7.3. I'm going to leave well alone now :) I've got a brand new 256GB SSD (Crucial CT256M225) which should have stellar performance. However, on my (also brand new) Dell Studio 1557 with Windows 7 Professional 64 bit, it's only giving a performance index of 5.9. I realise the performance index should be taken with a bit of a pinch of salt, but I wonder whether something's wrong. Given this paragraph from this MSDN article on Windows 7, I'd expect to see a high 6.X or possible a 7.X figure: In Windows 7, there are new random read, random write and flush assessments. Better SSDs can score above 6.5 all the way to 7.9. To be included in that range, an SSD has to have outstanding random read rates and be resilient to flush and random write workloads. In the Beta timeframe of Windows 7, there was a capping of scores at 1.9, 2.9 or the like if a disk (SSD or HDD) didn’t perform adequately when confronted with our random write and flush assessments. Feedback on this was pretty consistent, with most feeling the level of capping to be excessive. As a result, we now simply restrict SSDs with performance issues from joining the newly added 6.0+ and 7.0+ ranges. SSDs that are not solid performers across all assessments effectively get scored in a manner similar to what they would have been in Windows Vista, gaining no Win7 boost for great random read performance. How can I diagnose any performance issues with either the disk or how Windows 7 is handling it? Are there any particularly good tools you'd recommend? One note of curiosity: I couldn't install the firmware update (to 1916) until I changed my BIOS handling of the drive to ATA mode; after installing the firmware I tried to boot the Windows installation DVD - but that only worked after turning it back to AHCI mode (which I've left it in). Installing Windows 7 took longer than I expected - it sat at the "Windows is loading files" prompt for a very long time. Likewise it was on "Expanding files (0%)" for a long time. Since installation it's been fine though - but I don't know whether it's really providing quite as beefy performance as it should. EDIT: My netbook with the 64GB equivalent drive has a performance index of 6.6...

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  • Why does Microsoft Windows' performance appear to degrade over time?

    - by Ben Aston
    Windows XP/2k3 and earlier (can't attest to Vista, but suspect it's the same) all appear to become more sluggish over time as applications are installed and uninstalled. This is not a scientifically tested observation, but more of a learned-through-experience piece of wisdom. (I've always suspected the registry as being behind the issue.) Does anyone have any concrete evidence of this degradation occurring, or it just an invalid perception of mine?

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  • In terms of performance, which processor is more suitable?

    - by Roberts
    My computer specs: Motherboard: Gigabyte GA-945PL-S3 OS: Microsoft Windows 7 Ultimate CPU Socket: LGA775 CPU: Intel® Core™2 Duo Processor E4300 (2M Cache, 1.80 GHz, 800 MHz FSB) After I bought new hard drive (Western Digital 250GB, 7200rpm, 32MB, Sata III, Caviar Blue, WD2500AAKX) I saw that my processor temperature started to raise to higher value then before. Now while surfing internet it goes to 70°C. Cleaned my motherboard - nothing; cleaned fan - nothing; replaced thermal paste - nothing; replaced thermal paste with care - still nothing. So I went to friend just to check if he doesn't have any spear fan, and he did. But with fan he had another processor that he didn't need and he wanted to give it to me, but I told him that I will think about this. So my CPU, he's CPU (Intel® Pentium® D Processor 820 (2M Cache, 2.80 GHz, 800 MHz FSB)). Question: which proccesor is better for gaming and for recording games?

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  • How to run Firefox jailed without serious performance loss?

    - by Vi
    My Firefox configuration is tricky: Firefox runs at separate restricted user account which cannot connect to main X server. Firefox uses Xvfb (virtual "headless" X server) as X server. x11vnc is running on that Xvfb. On the main X server there is vncviewer running that connect to this x11vnc On powerful laptop (Acer Extensa 5220) it seems to work more or less well, but on "Acer Aspire One" netbook it is slowish (on a background that firefox is loaded with lots of extensions). How to optimise this scheme? Requirements: Browser cannot connect to main X server. Browser should be in chroot jail (no "suid" scripts, readonly for many things) Browser should have a lot of features (like in AutoPager, NoScript, WoT, AdBlockPlus)

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  • What is the best way to optimize clearcase dynamic view performance on a linux client?

    - by gambit
    cleartool getcache -view -cview Lookup cache: 94% full, 6080 entries (307.0K), 308777 requests, 86% hits Readdir cache: 77% full, 4534 entries (1259.4K), 52233 requests, 91% hits Fstat cache: 89% full, 6188 entries (870.2K), 137811 requests, 100% hits Object cache: 100% full, 6188 entries (1146.9K), 290977 requests, 42% hits Total memory used for view caches: 3583.5Kbytes The current view server cache limits are: Lookup cache: 335520 bytes Readdir cache: 1677721 bytes Fstat cache: 1006560 bytes Object cache: 1174320 bytes Total cache size limit: 4194304 bytes Should I try to get my Object cache hit to be 100%? I have 2GB RAM.

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  • Please recommend tools for PC, browser, home network performance problems?

    - by mobibob
    My client is experiencing some odd response behavior in their browser for the past few days. Classic, "nothing has changed" so I am starting at ground zero. Browsing a website will timeout or take a ridiculous time to load -- other times, the same site and query is immediately responsive. Once a connection is established, video streams are uninterrupted. The home network hosts a website, but it is not experiencing any activity in Apache's 'access.log' I am using speedtest.net to check if the ISP through the internet is 'OK' -- which looks typical (average +/-). I have to suspect the home network is beaconing or something very abnormal, but I don't know where to start.

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  • SQL SERVER – Introduction to Extended Events – Finding Long Running Queries

    - by pinaldave
    The job of an SQL Consultant is very interesting as always. The month before, I was busy doing query optimization and performance tuning projects for our clients, and this month, I am busy delivering my performance in Microsoft SQL Server 2005/2008 Query Optimization and & Performance Tuning Course. I recently read white paper about Extended Event by SQL Server MVP Jonathan Kehayias. You can read the white paper here: Using SQL Server 2008 Extended Events. I also read another appealing chapter by Jonathan in the book, SQLAuthority Book Review – Professional SQL Server 2008 Internals and Troubleshooting. After reading these excellent notes by Jonathan, I decided to upgrade my course and include Extended Event as one of the modules. This week, I have delivered Extended Events session two times and attendees really liked the said course. They really think Extended Events is one of the most powerful tools available. Extended Events can do many things. I suggest that you read the white paper I mentioned to learn more about this tool. Instead of writing a long theory, I am going to write a very quick script for Extended Events. This event session captures all the longest running queries ever since the event session was started. One of the many advantages of the Extended Events is that it can be configured very easily and it is a robust method to collect necessary information in terms of troubleshooting. There are many targets where you can store the information, which include XML file target, which I really like. In the following Events, we are writing the details of the event at two locations: 1) Ringer Buffer; and 2) XML file. It is not necessary to write at both places, either of the two will do. -- Extended Event for finding *long running query* IF EXISTS(SELECT * FROM sys.server_event_sessions WHERE name='LongRunningQuery') DROP EVENT SESSION LongRunningQuery ON SERVER GO -- Create Event CREATE EVENT SESSION LongRunningQuery ON SERVER -- Add event to capture event ADD EVENT sqlserver.sql_statement_completed ( -- Add action - event property ACTION (sqlserver.sql_text, sqlserver.tsql_stack) -- Predicate - time 1000 milisecond WHERE sqlserver.sql_statement_completed.duration > 1000 ) -- Add target for capturing the data - XML File ADD TARGET package0.asynchronous_file_target( SET filename='c:\LongRunningQuery.xet', metadatafile='c:\LongRunningQuery.xem'), -- Add target for capturing the data - Ring Bugger ADD TARGET package0.ring_buffer (SET max_memory = 4096) WITH (max_dispatch_latency = 1 seconds) GO -- Enable Event ALTER EVENT SESSION LongRunningQuery ON SERVER STATE=START GO -- Run long query (longer than 1000 ms) SELECT * FROM AdventureWorks.Sales.SalesOrderDetail ORDER BY UnitPriceDiscount DESC GO -- Stop the event ALTER EVENT SESSION LongRunningQuery ON SERVER STATE=STOP GO -- Read the data from Ring Buffer SELECT CAST(dt.target_data AS XML) AS xmlLockData FROM sys.dm_xe_session_targets dt JOIN sys.dm_xe_sessions ds ON ds.Address = dt.event_session_address JOIN sys.server_event_sessions ss ON ds.Name = ss.Name WHERE dt.target_name = 'ring_buffer' AND ds.Name = 'LongRunningQuery' GO -- Read the data from XML File SELECT event_data_XML.value('(event/data[1])[1]','VARCHAR(100)') AS Database_ID, event_data_XML.value('(event/data[2])[1]','INT') AS OBJECT_ID, event_data_XML.value('(event/data[3])[1]','INT') AS object_type, event_data_XML.value('(event/data[4])[1]','INT') AS cpu, event_data_XML.value('(event/data[5])[1]','INT') AS duration, event_data_XML.value('(event/data[6])[1]','INT') AS reads, event_data_XML.value('(event/data[7])[1]','INT') AS writes, event_data_XML.value('(event/action[1])[1]','VARCHAR(512)') AS sql_text, event_data_XML.value('(event/action[2])[1]','VARCHAR(512)') AS tsql_stack, CAST(event_data_XML.value('(event/action[2])[1]','VARCHAR(512)') AS XML).value('(frame/@handle)[1]','VARCHAR(50)') AS handle FROM ( SELECT CAST(event_data AS XML) event_data_XML, * FROM sys.fn_xe_file_target_read_file ('c:\LongRunningQuery*.xet', 'c:\LongRunningQuery*.xem', NULL, NULL)) T GO -- Clean up. Drop the event DROP EVENT SESSION LongRunningQuery ON SERVER GO Just run the above query, afterwards you will find following result set. This result set contains the query that was running over 1000 ms. In our example, I used the XML file, and it does not reset when SQL services or computers restarts (if you are using DMV, it will reset when SQL services restarts). This event session can be very helpful for troubleshooting. Let me know if you want me to write more about Extended Events. I am totally fascinated with this feature, so I’m planning to acquire more knowledge about it so I can determine its other usages. Reference : Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, SQL, SQL Authority, SQL Optimization, SQL Performance, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQL Training, SQLServer, T SQL, Technology Tagged: SQL Extended Events

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  • SQL SERVER – Reducing CXPACKET Wait Stats for High Transactional Database

    - by pinaldave
    While engaging in a performance tuning consultation for a client, a situation occurred where they were facing a lot of CXPACKET Waits Stats. The client asked me if I could help them reduce this huge number of wait stats. I usually receive this kind of request from other client as well, but the important thing to understand is whether this question has any merits or benefits, or not. Before we continue the resolution, let us understand what CXPACKET Wait Stats are. The official definition suggests that CXPACKET Wait Stats occurs when trying to synchronize the query processor exchange iterator. You may consider lowering the degree of parallelism if a conflict concerning this wait type develops into a problem. (from BOL) In simpler words, when a parallel operation is created for SQL Query, there are multiple threads for a single query. Each query deals with a different set of the data (or rows). Due to some reasons, one or more of the threads lag behind, creating the CXPACKET Wait Stat. Threads which came first have to wait for the slower thread to finish. The Wait by a specific completed thread is called CXPACKET Wait Stat. Note that CXPACKET Wait is done by completed thread and not the one which are unfinished. “Note that not all the CXPACKET wait types are bad. You might experience a case when it totally makes sense. There might also be cases when this is also unavoidable. If you remove this particular wait type for any query, then that query may run slower because the parallel operations are disabled for the query.” Now let us see what the best practices to reduce the CXPACKET Wait Stats are. The suggestions, with which you will find that if you search online through the browser, would play a major role as and might be asked about their jobs In addition, might tell you that you should set ‘maximum degree of parallelism’ to 1. I do agree with these suggestions, too; however, I think this is not the final resolutions. As soon as you set your entire query to run on single CPU, you will get a very bad performance from the queries which are actually performing okay when using parallelism. The best suggestion to this is that you set ‘the maximum degree of parallelism’ to a lower number or 1 (be very careful with this – it can create more problems) but tune the queries which can be benefited from multiple CPU’s. You can use query hint OPTION (MAXDOP 0) to run the server to use parallelism. Here is the two-quick script which helps to resolve these issues: Change MAXDOP at Server Level EXEC sys.sp_configure N'max degree of parallelism', N'1' GO RECONFIGURE WITH OVERRIDE GO Run Query with all the CPU (using parallelism) USE AdventureWorks GO SELECT * FROM Sales.SalesOrderDetail ORDER BY ProductID OPTION (MAXDOP 0) GO Below is the blog post which will help you to find all the parallel query in your server. SQL SERVER – Find Queries using Parallelism from Cached Plan Please note running Queries in single CPU may worsen your performance and it is not recommended at all. Infect this can be very bad advise. I strongly suggest that you identify the queries which are offending and tune them instead of following any other suggestions. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: SQL, SQL Authority, SQL Optimization, SQL Performance, SQL Query, SQL Server, SQL Tips and Tricks, SQL White Papers, SQLAuthority News, T SQL, Technology

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  • Using the StopWatch class to calculate the execution time of a block of code

    - by vik20000in
      Many of the times while doing the performance tuning of some, class, webpage, component, control etc. we first measure the current time taken in the execution of that code. This helps in understanding the location in code which is actually causing the performance issue and also help in measuring the amount of improvement by making the changes. This measurement is very important as it helps us understand the problem in code, Helps us to write better code next time (as we have already learnt what kind of improvement can be made with different code) . Normally developers create 2 objects of the DateTime class. The exact time is collected before and after the code where the performance needs to be measured.  Next the difference between the two objects is used to know about the time spent in the code that is measured. Below is an example of the sample code.             DateTime dt1, dt2;             dt1 = DateTime.Now;             for (int i = 0; i < 1000000; i++)             {                 string str = "string";             }             dt2 = DateTime.Now;             TimeSpan ts = dt2.Subtract(dt1);             Console.WriteLine("Time Spent : " + ts.TotalMilliseconds.ToString());   The above code works great. But the dot net framework also provides for another way to capture the time spent on the code without doing much effort (creating 2 datetime object, timespan object etc..). We can use the inbuilt StopWatch class to get the exact time spent. Below is an example of the same work with the help of the StopWatch class.             Stopwatch sw = Stopwatch.StartNew();             for (int i = 0; i < 1000000; i++)             {                 string str = "string";             }             sw.Stop();             Console.WriteLine("Time Spent : " +sw.Elapsed.TotalMilliseconds.ToString());   [Note the StopWatch class resides in the System.Diagnostics namespace] If you use the StopWatch class the time taken for measuring the performance is much better, with very little effort. Vikram

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  • Java Spotlight Episode 35: JVM Performance and Quality

    - by Roger Brinkley
    Tweet Interview with Vladimir Ivanov, Ivan Krylov, Sergey Kuksenko on the JDK 7 Java Virtual Machine performance and quality. Joining us this week on the Java All Star Developer Panel are Dalibor Topic, Java Free and Open Source Software Ambassador, and Alexis Moussine-Pouchkine, Java EE Developer Advocate. Right-click or Control-click to download this MP3 file. You can also subscribe to the Java Spotlight Podcast Feed to get the latest podcast automatically. If you use iTunes you can open iTunes and subscribe with this link: Java Spotlight Podcast in iTunes. Show Notes News Java 7 Launch Event GlassFish 3.1.1 re-planning done, first RC on July 7th, lots of component updates following customer and community feedback Mojarra 2.1.2 is here, just a little ahead of the GlassFish 3.1.1 release. In other JSF-related news, JSF 2.0 has a first expert draft New OpenJDK Project proposed: JDK 7 Update Events June 20-23 JAX, San Jose, CA June 21 Java + MySQL Webinar at 9:00 AM PDT June 21-23 JaZoon, Zurich, Switzerland June 22nd and 28th GlassFish Webinars (one in Portuguese) June 29-July 2 12th Forum Internatioal Software Livre, Porto Alegre, Brazil July 3, Sao Jose do Rio Preto, Brazil July 5, Brasilia, Brazil (DFJUG) July 6, Goiania, Brazil (GOJava) July 6-10 The Developers Conference, Sao Paulo, Brazil July 7 Java 7 Launch Event live in Redwood Shores, CA; Sao Paulo, BR; London, England. July 9, Joao Pessoa, Brazil (PBJUG) July 11, Natal, Brazil (JavaRN) July 14, Fortaleza, Brazil (CEJUG) July 16, Salvador, Brazil (JavaBahia) July 19, Toledo, Brazil (UNIPAR) July 21, Maringa, Brazil (RedFoot) Feature interview This weeks feature interview is with Vladimir Ivanov, HotSpot JVM Quality Engingeer;  Ivan Krylov, Licensee Engineering;  and Sergey Kuksenko, Java SE Performance Team on the JDK 7 Java Virtual Machine peformance and quality. What's Cool Ongoing OpenJDK Bylaws ratification results Show Transcripts Transcript for this show is available here when available

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  • SSIS Reporting Pack – a performance tip

    - by jamiet
    SSIS Reporting Pack is a suite of open source SQL Server Reporting Services (SSRS) reports that provide additional insight into the SQL Server Integration Services (SSIS) 2012 Catalog. You can read more about SSIS Reporting Pack here on my blog or had over to the home page for the project at http://ssisreportingpack.codeplex.com/. After having used SSRS Reporting Pack on a real project for a few months now I have come to realise that if you have any sizeable data volumes in [SSISDB] then the reports in SSIS Reporting Pack will suffer from chronic performance problems – I have seen the “execution” report take upwards of 30minutes to return data. To combat this I highly recommend that you create an index on the [SSISDB].[internal].[event_messages].[operation_id] & [SSISDB].[internal].[operation_messages].[operation_id] fields. Phil Brammer has experienced similar problems himself and has since made it easy for the rest of us by preparing some scripts to create the indexes that he recommends and he has shared those scripts via his blog at http://www.ssistalk.com/SSIS_2012_Missing_Indexes.zip. If you are using SSIS Reporting Pack, or even if you are simply querying [SSISDB], I highly recommend that you download Phil’s scripts and test them out on your own SSIS Catalog(s). Those indexes will not solve all problems but they will make some of your reports run quicker. I am working on some further enhancements that should further improve the performance of the reports. Watch this space. @Jamiet

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  • Drive project success & financial performance with business critical Enterprise Project Portfolio Management

    - by Sylvie MacKenzie, PMP
    Normal 0 false false false EN-US 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:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman","serif";} Oracle Primavera invites you to the first in a series of three webcasts linking Enterprise Project Portfolio Management with enhanced operational performance and better financial results. Few organizations fully understand the impact projects have on their business. Consistently delivering successful projects is vital to the financial success of an asset intensive organization. Enterprise Project Portfolio Management (EPPM) is not a new concept yet for many organizations it is not considered "business critical". Webcast 1: Plan – Aligning project selection and prioritization with corporate objectives This webcast will look at 2 key questions: Are you aligning portfolio decisions with strategic objectives? How do you effectively measure the success of your portfolio decisions? Hear from Accenture who'll present a compelling case for why asset intensive organizations should consider EPPM as business critical. They'll explore: How technology is being used to enhance project delivery How collaboration enhances delivery performance The major challenges associated with the planning phase of a project Next hear from Geoff Roberts, Industry Strategist from Oracle Primavera. With over 30 years experience in project management/project controls in the construction, utilities and oil & gas sectors, Geoff will investigate how EPPM is a best practice and can support an organization through project selection and prioritization ensuring that decisions are aligned with corporate objectives. Don’t miss out, register today!

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  • SQL Saturday Atlanta: Intro To Performance Tuning

    - by Mike Femenella
    I'm looking forward to speaking in Atlanta on the 24th, will be fun to get back down that way to visit with some friends and present two topics that I really enjoy. First, an introduction to performance tuning. Performance tuning is a very wide and deep topic and we're staying close to the surface. I direct this class for newbie sql users who have less than 2 years of experience. It's all the things I wish someone would have told me in my first 2 years about what to look for when the database was slow...or allegedly slow I should say. We'll cover using profiler to find slow performing queries and how to save the data off to a table as well as a tour of other features. The difference between clustered, non clustered and covering indexes. How to look at and understand an execution plan (at a high level) and finally the difference between a temp table and a table variable and what the implications are of using either one in your code. That pretty much takes up a full hour. Second presentation, Loading Data in Real Time. It's really a presentation about partitioning but with a twist that we used at work recently to solve a need to load some data quickly and put it into production with minimal downtime. We'll cover partition functions, schemes,$partition, merge, sys.partitions and show some examples of building a set of partitioned tables and using the switch statement to move it from one table to another. Finally we'll cover the differences in partitioning between 2005 and 2008. Hope to see you there! And if you read my blog please introduce yourself!

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  • Oracle NoSQL Database: Cleaner Performance

    - by Charles Lamb
    In an earlier post I noted that Berkeley DB Java Edition cleaner performance had improved significantly in release 5.x. From an Oracle NoSQL Database point of view, this is important because Berkeley DB Java Edition is the core storage engine for Oracle NoSQL Database. Many contemporary NoSQL Databases utilize log based (i.e. append-only) storage systems and it is well-understood that these architectures also require a "cleaning" or "compaction" mechanism (effectively a garbage collector) to free up unused space. 10 years ago when we set out to write a new Berkeley DB storage architecture for the BDB Java Edition ("JE") we knew that the corresponding compaction mechanism would take years to perfect. "Cleaning", or GC, is a hard problem to solve and it has taken all of those years of experience, bug fixes, tuning exercises, user deployment, and user feedback to bring it to the mature point it is at today. Reports like Vinoth Chandar's where he observes a 20x improvement validate the maturity of JE's cleaner. Cleaner performance has a direct impact on predictability and throughput in Oracle NoSQL Database. A cleaner that is too aggressive will consume too many resources and negatively affect system throughput. A cleaner that is not aggressive enough will allow the disk storage to become inefficient over time. It has to Work well out of the box, and Needs to be configurable so that customers can tune it for their specific workloads and requirements. The JE Cleaner has been field tested in production for many years managing instances with hundreds of GBs to TBs of data. The maturity of the cleaner and the entire underlying JE storage system is one of the key advantages that Oracle NoSQL Database brings to the table -- we haven't had to reinvent the wheel.

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  • Performance impact of Zones.

    - by nospam(at)example.com (Joerg Moellenkamp)
    I was really astonished when i saw this question. Because this question was a old acquaintance from years ago, that i didn't heard for a long time. However there was it again. The question: "What's the overhead of Zones?". Sun was and Oracle is not saying "zero". We saying saying minimal. However during all the performance analysis gigs on customer systems i made since the introduction of Zones i failed to measure any overhead caused by zones. What i saw however, was additional load intoduced by processes that wouldn't be there when you would use only one zone Like additional monitoring daemons, like additional daemons having a controlling or supervising job for the application that resulted in slighly longer runtimes of processes, because such additional daemons wanted some cycles on the CPU as well. So i ask when someone wants to tell me that he measured a slight slowdown, if he or she has really measured the impact of the virtualization layer or of a side effect described above. It seems to be a little bit hard to believe, that a virtualisation technology has no overhead, however keep in mind that there is no hypervisor and just one kernel running that looks and behaves like many operating system instances to apps and users. While this imposes some limits to the technology (because there is just one kernel running you can't have zones with different kernels versions running ... obvious even to the cursory observer), but that is key to it's lightweightness and thus to the low overhead. Continue reading "Performance impact of Zones."

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  • Using ConcurrentQueue for thread-safe Performance Bookkeeping.

    - by Strenium
    Just a small tidbit that's sprung up today. I had to book-keep and emit diagnostics for the average thread performance in a highly-threaded code over a period of last X number of calls and no more. Need of the day: a thread-safe, self-managing stats container. Since .NET 4.0 introduced new thread-safe 'Collections.Concurrent' objects and I've been using them frequently - the one in particular seemed like a good fit for storing each threads' performance data - ConcurrentQueue. But I wanted to store only the most recent X# of calls and since the ConcurrentQueue currently does not support size constraint I had to come up with my own generic version which attempts to restrict usage to numeric types only: unfortunately there is no IArithmetic-like interface which constrains to only numeric types – so the constraints here here aren't as elegant as they could be. (Note the use of the Average() method, of course you can use others as well as make your own).   FIFO FixedSizedConcurrentQueue using System;using System.Collections.Concurrent;using System.Linq; namespace xxxxx.Data.Infrastructure{    [Serializable]    public class FixedSizedConcurrentQueue<T> where T : struct, IConvertible, IComparable<T>    {        private FixedSizedConcurrentQueue() { }         public FixedSizedConcurrentQueue(ConcurrentQueue<T> queue)        {            _queue = queue;        }         ConcurrentQueue<T> _queue = new ConcurrentQueue<T>();         public int Size { get { return _queue.Count; } }        public double Average { get { return _queue.Average(arg => Convert.ToInt32(arg)); } }         public int Limit { get; set; }        public void Enqueue(T obj)        {            _queue.Enqueue(obj);            lock (this)            {                T @out;                while (_queue.Count > Limit) _queue.TryDequeue(out @out);            }        }    } }   The usage case is straight-forward, in this case I’m using a FIFO queue of maximum size of 200 to store doubles to which I simply Enqueue() the calculated rates: Usage var RateQueue = new FixedSizedConcurrentQueue<double>(new ConcurrentQueue<double>()) { Limit = 200 }; /* greater size == longer history */   That’s about it. Happy coding!

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  • OpenGL : sluggish performance in extracting texture from GPU

    - by Cyan
    I'm currently working on an algorithm which creates a texture within a render buffer. The operations are pretty complex, but for the GPU this is a simple task, done very quickly. The problem is that, after creating the texture, i would like to save it. This requires to extract it from GPU memory. For this operation, i'm using glGetTexImage(). It works, but the performance is sluggish. No, i mean even slower than that. For example, an 8MB texture (uncompressed) requires 3 seconds (yes, seconds) to be extracted. That's mind puzzling. I'm almost wondering if my graphic card is connected by a serial link... Well, anyway, i've looked around, and found some people complaining about the same, but no working solution so far. The most promising advise was to "extract data in the native format of the GPU". Which i've tried and tried, but failed so far. Edit : by moving the call to glGetTexImage() in a different place, the speed has been a bit improved for the most dramatic samples : looking again at the 8MB texture, it knows requires 500ms, instead of 3sec. It's better, but still much too slow. Smaller texture sizes were not affected by the change (typical timing remained into the 60-80ms range). Using glFinish() didn't help either. Note that, if i call glFinish() (without glGetTexImage), i'm getting a fixed 16ms result, whatever the texture size or complexity. It really looks like the timing for a frame at 60fps. The timing is measured for the full rendering + saving sequence. The call to glGetTexImage() alone does not really matter. That being said, it is this call which changes the performance. And yes, of course, as stated at the beginning, the texture is "created into the GPU", hence the need to save it.

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  • Performance: use a BinaryReader on a MemoryStream to read a byte array, or read directly?

    - by Virtlink
    I would like to know whether using a BinaryReader on a MemoryStream created from a byte array (byte[]) would reduce performance significantly. There is binary data I want to read, and I get that data as an array of bytes. I am currently deciding between two approaches to read the data, and have to implement many reading methods accordingly. After each reading action, I need the position right after the read data, and therefor I am considering using a BinaryReader. The first, non-BinaryReader approach: object Read(byte[] data, ref int offset); The second approach: object Read(BinaryReader reader); Such Read() methods will be called very often, in succession on the same data until all data has been read. So, using a BinaryReader feels more natural, but has it much impact on the performance?

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  • What is good server performance monitoring software for Windows?

    - by Luke
    I'm looking for some software to monitor a single server for performance alerts. Preferably free and with a reasonable default configuration. Edit: To clarify, I would like to run this software on a Windows machine and monitor a remote Windows server for CPU/memory/etc. usage alerts (not a single application). Edit: I suppose its not necessary that this software be run remotely, I would also settle for something that ran on the server and emailed me if there was an alert. It seems like Windows performance logs and alerts might be used for this purpose somehow but it was not immediately obvious to me. Edit: Found a neat tool on the coding horror blog, not as useful for remote monitoring but very useful for things you would worry about as a server admin: http://www.winsupersite.com/showcase/winvista_ff_rmon.asp

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  • When is performance gain significant enough to implement that optimization?

    - by Zwei steinen
    Hi, following the text book, I do measure performance whenever I try optimizing my code. Sometimes, however, the performance gain is rather small and I can't decisively decide whether I should implement that optimization. For example, when a fix shortens an average response time of 100ms to 90ms under some conditions, should I implement that fix? What if it shortens 200ms to 190ms? How many condition should I try before I can conclude that it will be beneficial overall? I guess it's not possible to give a straight forward answer to this, as it depends on too many things, but is there a good rule of thumb that I should follow? Are there any guideline/best-practices?

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