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  • Strategy for clients to retrieve real-time log from HTTP server

    - by Jerry Dodge
    I have an HTTP Server Service application which has its own logging mechanism. It's written in Delphi. I would like to provide a way for multiple clients to connect to this service and get a real-time update of the log. The log in the service moves rather fast, there's a lot of things to log. There may be up to 50 messages within 1 second at times. The existing log which is already implemented is not saved, it's only kept in the memory of the server service - where I will need to distribute it to any client which needs it. Once all clients have a log message, it should be deleted. I intend to use HTTP to "ask" the server for the log, and respond with an XML packet. The connections are not keep-alive. The only problem is, the server should only send the client those log records which it needs, not everything. I have no way of the server pushing the log to the clients in real-time, so each client needs to repeatedly ask the server for the latest log records. This HTTP Server is very lightweight, and there is no session management. There isn't even any type of authentication. The only way I see is for a client to register its self on the server, and whenever a log is issued on the server, it creates a copy of the log for each client, where each client has a log queue (string list). However, suppose there are 100 clients connected and expecting to receive this log. That means the server must create 100 copies of each log, add this log to the end of each client log queue, and wait for the client to request it. At that point, when the server replies with the XML log, it should flush (delete) whatever's in the queue. I'm worried however that this could cause memory issues. Each client log queue might get 100 log messages before the client requests the latest logs. How should I go about doing this in the fastest way possible without hindering the performance of the server? I'm trying to avoid having to create a copy of each log for each client.

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  • JAVA_OPTS -XX:+PrintGCDetails affect on performance?

    - by brad
    Does anyone know if the PrintGCDetails affects java performance much? I've been monitoring our java garbage collecting on a staging server with the same setup as the production server. I assumed it was safe to say that I shouldn't have this enabled on production but I don't know if there's really any affect on performance.

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  • Unity poor performance after upgrading to 13.10

    - by Juzer Ali
    I upgraded recently from 13.04 to 13.10. I have Dell Inspiron 4GB RAM, Intel Core i3. Login takes a lot of time and all the graphics are very slow. Alt + Tab takes a lot of time (seconds). After reading some threads, I also removed Cinnamon desktop, but it didn't change anything. I had to ultimately fall back to Gnome Flashback (no effects). Gnome flashback works fine without any issues. Can anyone please help me get back to Unity, else I will have a very hard time running using Gnome.

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  • Keyword Optimization - 3 Tips to Drastically Improve Search Engine Performance For Free

    Keywords for anyone are the backbone to traffic, it doesn't matter where you place links, how you write articles, and how you build your pages keywords play a huge part in getting traffic to your website (and blog). More and more I receive emails regarding some new internet marketing "free traffic source" of the "best new back linking method" and all these are good and may indeed work in some situations they are somewhat redundant in others.

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  • SQL SERVER Convert IN to EXISTS Performance Talk

    In recent training one of the attendee asked if I can show simple method to convert IN clause to EXISTS clause. Here is the simple example. USE AdventureWorks GO --useof= SELECT * FROM HumanResources.EmployeeE WHERE E.EmployeeID = ( SELECT EA.EmployeeID FROM HumanResources.EmployeeAddressEA WHERE EA.EmployeeID = E.EmployeeID) GO --useofexists SELECT * FROM HumanResources.EmployeeE WHERE EXISTS( SELECT [...]...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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  • The performance implications of IEnumerable vs. IQueryable

    It all started innocently enough. I was implementing a "Older Posts/Newer Posts" feature for my new web site and was writing code like this:IEnumerable<Post> FilterByCategory(IEnumerable<Post> posts, string category) {  if( !string.IsNullOrEmpty(category) ) { return posts.Where(p => p.Category.Contains(category)); }}...  var posts = FilterByCategory(db.Posts, category);  int count = posts.Count();... The "db" was an EF object context object, but it could just as...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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  • The performance implications of IEnumerable vs. IQueryable

    It all started innocently enough. I was implementing a "Older Posts/Newer Posts" feature for my new web site and was writing code like this:IEnumerable<Post> FilterByCategory(IEnumerable<Post> posts, string category) {  if( !string.IsNullOrEmpty(category) ) { return posts.Where(p => p.Category.Contains(category)); }}...  var posts = FilterByCategory(db.Posts, category);  int count = posts.Count();... The "db" was an EF object context object, but it could just as...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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  • Why is multithreading often preferred for improving performance?

    - by user1849534
    I have a question, it's about why programmers seems to love concurrency and multi-threaded programs in general. I'm considering 2 main approaches here: an async approach basically based on signals, or just an async approach as called by many papers and languages like the new C# 5.0 for example, and a "companion thread" that manages the policy of your pipeline a concurrent approach or multi-threading approach I will just say that I'm thinking about the hardware here and the worst case scenario, and I have tested this 2 paradigms myself, the async paradigm is a winner at the point that I don't get why people 90% of the time talk about multi-threading when they want to speed up things or make a good use of their resources. I have tested multi-threaded programs and async program on an old machine with an Intel quad-core that doesn't offer a memory controller inside the CPU, the memory is managed entirely by the motherboard, well in this case performances are horrible with a multi-threaded application, even a relatively low number of threads like 3-4-5 can be a problem, the application is unresponsive and is just slow and unpleasant. A good async approach is, on the other hand, probably not faster but it's not worst either, my application just waits for the result and doesn't hangs, it's responsive and there is a much better scaling going on. I have also discovered that a context change in the threading world it's not that cheap in real world scenario, it's in fact quite expensive especially when you have more than 2 threads that need to cycle and swap among each other to be computed. On modern CPUs the situation it's not really that different, the memory controller it's integrated but my point is that an x86 CPUs is basically a serial machine and the memory controller works the same way as with the old machine with an external memory controller on the motherboard. The context switch is still a relevant cost in my application and the fact that the memory controller it's integrated or that the newer CPU have more than 2 core it's not bargain for me. For what i have experienced the concurrent approach is good in theory but not that good in practice, with the memory model imposed by the hardware, it's hard to make a good use of this paradigm, also it introduces a lot of issues ranging from the use of my data structures to the join of multiple threads. Also both paradigms do not offer any security abut when the task or the job will be done in a certain point in time, making them really similar from a functional point of view. According to the X86 memory model, why the majority of people suggest to use concurrency with C++ and not just an async approach ? Also why not considering the worst case scenario of a computer where the context switch is probably more expensive than the computation itself ?

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  • Does more RAM on Mac really improve performance?

    - by Moshe
    I'm coming from a PC, loaded with a Core 2 Quad CPU and 8GB of DDR2 RAM. I was running Premiere CS3. I'm new to Mac so I'm not sure if this will help performance: Will increasing my 21.5" Core 2 Duo iMac's memory from 4GB (DDR3) to 8GB improve performance of Premiere CS4 significantly? I am not impressed with Premiere as it is now. The iMac is the newest one as of this post.

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  • Comparing the Performance of Visual Studio&apos;s Web Reference to a Custom Class

    As developers, we all make assumptions when programming. Perhaps the biggest assumption we make is that those libraries and tools that ship with the .NET Framework are the best way to accomplish a given task. For example, most developers assume that using <a href="http://www.4guysfromrolla.com/articles/120705-1.aspx">ASP.NET's Membership system</a> is the best way to manage user accounts in a website (rather than rolling your own user account store). Similarly, creating a Web Reference to communicate with a <a href="http://www.4guysfromrolla.com/articles/100803-1.aspx">web service</a> generates markup that auto-creates a <i>proxy class</i>, which handles the low-level details of invoking the web service, serializing parameters,

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  • REAL PRACTICES: Performance Scaling Microsoft SQL Server 2008 Analysis Services at Microsoft adCenter

    This white paper explains how Microsoft® adCenter implemented a Microsoft SQL Server® 2008 Analysis Services Scalable Shared Database on EMC® Symmetrix VMAX™ storage. Leveraging TimeFinder® clones and Enterprise Flash Drives with the read-only feature of SQL Server 2008 Analysis Services allowed adCenter to dramatically scale out OLAP while maintaining SLAs and decreasing system outages.

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  • High quality/performance shared hosting (in northern Europe)

    - by Bente
    I work as a web developer on almost all levels. However, my typical customer is a 1-5 guys running some sort of consulting business. They have (or want) a web page with some kind of CMS so the can perform most (or all) editing themselves. I normally opt for Concrete5 as my default CMS because it's the most user friendly (and free) CMS I have found. My good recurring customers I host on my own server as a service, but I need a good host for the customers where I want to deliver a product and not be responsible for whatever may happen in the future. However, I still struggle with hosting! Experience shows that the typical ~1$ shared hosting is waaay to slow to run concrete5 smoothly, and a VPS is out of the question because I don't want to maintain it. So, where can I find as fast (from northern Europe), reliable, shared host where I can put a site and don't have to worry about the server going down or being unmaintained. I expect this should cost around $10-$20 but I'm open to all kinds of suggestions because different customers have different budgets.

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  • WHERE x = @x OR @x IS NULL

    - by steveh99999
    Every SQL DBA and developer should read the blog of MVP Erland Sommarskog – but particularly  his article on dynamic search conditions in T-SQL. I’ve linked above to his SQL 2005 article but his 2008 version is also a must-read. I seem to regularly come across uses of the SQL in the title above… Erland’s article explains in detail why this is inefficient, but I came across a nice example recently… A stored procedure contained the following code :- WHERE @Name is null or [Name] like @Name as a nonclustered index exists on the Name column, you might assume this would be handled efficiently by SQL Server. However, I got the following output from SET STATISTICS IO Table 'xxxxx'. Scan count 15, logical reads 47760, physical reads 9, read-ahead reads 13872, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0. Note the high number of logical reads… After a bit of investigation, we found that @Name could never actually be set to NULL in this particular example. ie the @x IS NULL was spurious… So, we changed the call to WHERE  [Name] like @Name Now, how much more efficient is this code ? Table 'xxxxx'. Scan count 3, logical reads 24, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0 A nice easy win in this case…… a full index scan has been replaced by a significantly more efficient index seek. I managed to recreate the same behaviour on Adventureworks – here’s a quick query to demonstrate :- USE adventureworks SET STATISTICS IO ON DECLARE @id INT = 51721 SELECT * FROM Sales.SalesOrderDetail WHERE @id IS NULL OR salesorderid = @id SELECT * FROM Sales.SalesOrderDetail WHERE salesorderid = @id Take a look at the STATISTICS IO output and compare the actual query plans used to prove the impact of  WHERE @id IS NULL. And just to follow some of Erland’s advice – here’s how you could get similar performance if it was possible that @id could actually sometimes contain NULL. DECLARE @sql NVARCHAR(4000), @parameterlist NVARCHAR(4000) DECLARE @id INT = 51721 – or change to NULL to prove query is functionally correct SET @sql = 'SELECT * FROM Sales.SalesOrderDetail WHERE 1 = 1' IF @id IS NOT NULL SET @sql = @sql + ' AND salesorderid = @id' IF @id IS NULL SET @sql = @sql + ' AND salesorderid IS NULL' SET @parameterlist = '@id INT' EXEC sp_executesql @sql, @parameterlist,@id Sometimes I think we focus too much on hardware and SQL Server configuration – when really the answer is focus on writing efficient SQL.

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  • Oracle Database I/O Performance Tuning Using Benchmark Factory

    The real test of how heavily an Oracle database will tax its underlying I/O subsystem and related infrastructure is to actually tax that infrastructure using representative database application workloads. Jim Czuprynski tells you how to choose appropriate database schema(s) for realistic testing, how to create example TPC-E and TPC-H database schemas and how to perform initial loading of these schemas using Quest Benchmark Factory.

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  • Coherence Query Performance in Large Clusters

    - by jpurdy
    Large clusters (measured in terms of the number of storage-enabled members participating in the largest cache services) may introduce challenges when issuing queries. There is no particular cluster size threshold for this, rather a gradually increasing tendency for issues to arise. The most obvious challenges are that a client's perceived query latency will be determined by the slowest responder (more likely to be a factor in larger clusters) as well as the fact that adding additional cache servers will not increase query throughput if the query processing is not compute-bound (which would generally be the case for most indexed queries). If the data set can take advantage of the partition affinity features of Coherence, then the application can use a PartitionedFilter to target a query to a single server (using partition affinity to ensure that all data is in a single partition). If this can not be done, then avoiding an excessive number of cache server JVMs will help, as will ensuring that each cache server has sufficient CPU resources available and is also properly configured to minimize GC pauses (the most common cause of a slow-responding cache server).

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  • SQL Monitor Performance Metric: Buffer Cache Used Per Database in MB

    Data pages read from disk are placed in the buffer pool with the intention that they will be reused, and accessing them from RAM is faster than from disk. Knowing how much of your RAM is committed to each database can help you provision the right amount of RAM to SQL Server, and also to identify rogue queries that draw too much data into RAM and force data from other databases out of the cache. 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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  • Visual studio fast performance with splash disable

    - by anirudha
    Visual studio perform faster whenever you run them in without splash. for running them without splash you need to change some setting for that. go to shortcut icon of visual studio open the properties and see the target executable the executable location something like "C:\Program Files (x86)\Microsoft Visual Studio 10.0\Common7\IDE\devenv.exe" for x64based computer now you need to add their “ /nosplash” the exe location now goes "C:\Program Files (x86)\Microsoft Visual Studio 10.0\Common7\IDE\devenv.exe" /nosplash

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