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  • Slow gvfs Samba Performance

    - by Wolfgang
    if I use/acces a Samba Share using Nautilus or manually using "gvfs-mount smb://SERVER-IP/Share" I get a poor Performance, only about 7 mb/s on my 100 Mbit Network. If I access the same Share on Windows I get Fullspeed 100 Mbit (About 11 mb/s), also if I mount using sudo mount -t cifs //SERVER-IP/Share /mountpount which uses cifs instead of gvfs I get fullspeed too, so can anyone tell me if there is a Performance Problem/Bug in gvfs or how gvfs is using SMB Shares differerently ? I tested read Perfomance (From my Network Samba Share) with multiples files and always, the cifs-Version is fullspeed and the GVFS-Version has some mb/s less. After some research I found some tips to optimize the Samba Settings of my Ubuntu Installation and some network tuning tips, but as the CIFS mounted share gets the full Network Speed I don't believe its that kind of problem.

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  • Why profile applications using AOP?

    - by Vance
    When tuning performance in a web application, I am looking for good and light-weight performance profiling tools to measure the execution time for each method. I know that the easiest profiling method is to log the start time and end time for each method, but I see more and more people using AOP to profile (add @profiled before each method). What's the benefit of AOP profiling compared to the common "log" way? Thanks in advance Vance

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  • Microsoft SQL Server 2008 R2 Administration Cookbook - Book and eBook expected June 2011. Pre-order now!

    - by ssqa.net
    Over 85 practical recipes for administering a high-performance SQL Server 2008 R2 system. Book and eBook expected June 2011 . Pre-order now! Multi-format orders get free access on PacktLib , This practical cookbook will show you the advanced administration techniques for managing and administering a scalable and high-performance SQL Server 2008 R2 system. It contains over 85 practical, task-based, and immediately useable recipes covering a wide range of advanced administration techniques for administering...(read more)

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  • Play audio in javascript with a good performance

    - by João
    I'm developing a browser game where the player can shoot. Everytime he shoots it play a sound. Currently i'm using this code to play sounds in JavaScript: var audio = document.createElement("audio"); audio.src = "my_sound.mp3"; audio.play(); I'm worried about performance here. Will 10 simultaneous sounds impact my game performance too much? Will all audio objects stay in memory even after they are played?

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  • Real performance of node.js

    - by uther.lightbringer
    I've got a question concerning node.js performance. There is quite lot of "benchmarks" and a lot of fuss about great performance of node.js. But how does it stand in real world? Not just process empty request at high speed. If someone could try to compare this scenario: Java (or equivalent) server running an application with complex business logic between receiving request and sending response. How would node.js deal with it? If there was need for a lot of JavaScript processing on server side, is node.js really so fast that it can execute JavaScript, and stand a chance against more heavyveight competitors?

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  • Webcast Replay: Extreme Performance for Consolidated Workloads with Oracle Exadata

    - by kimberly.billings
    If you missed our live webcast Extreme Performance for Consolidated Workloads with Oracle Exadata last week, the replay is now available. Watch the free on-demand webcast in which Tim Shetler, Vice President of Oracle Database Product Management, and Richard Exley, Consulting Member of Technical Staff, discuss how Oracle Exadata can help you can significantly improve application performance and reduce infrastructure costs by consolidating transaction processing, data warehousing, or mixed workloads on Oracle Exadata. Note: (1) Turn off pop-up blockers if the slides do not advance automatically. (2) Slides are available for download. var gaJsHost = (("https:" == document.location.protocol) ? "https://ssl." : "http://www."); document.write(unescape("%3Cscript src='" + gaJsHost + "google-analytics.com/ga.js' type='text/javascript'%3E%3C/script%3E")); try { var pageTracker = _gat._getTracker("UA-13185312-1"); pageTracker._trackPageview(); } catch(err) {}

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  • How to find out if my hosting's speed is good enough?

    - by Mert Nuhoglu
    There are lots of different online performance tests: Google PageSpeed Insights iWebTool Speed Test AlertFox Page Load Time WebPageTest Also there are several desktop/client software such as: ping tool YSlow Firebug's Net console Fiddler Http Watch I just want to decide if my hosting provider has a good enough performance or if I need to switch my hosting to another provider. So, which tool should I use to compare my hosting provider with other hosting providers?

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  • Quick Tip - Speed a Slow Restore from the Transaction Log

    - by KKline
    Here's a quick tip for you: During some restore operations on Microsoft SQL Server, the transaction log redo step might be taking an unusually long time. Depending somewhat on the version and edition of SQL Server you've installed, you may be able to increase performance by tinkering with the readahead performance for the redo operations. To do this, you should use the MAXTRANSFERSIZE parameter of the RESTORE statement. For example, if you set MAXTRANSFERSIZE=1048576, it'll use 1MB buffers. If you...(read more)

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  • Developing Schema Compare for Oracle (Part 6): 9i Query Performance

    - by Simon Cooper
    All throughout the EAP and beta versions of Schema Compare for Oracle, our main request was support for Oracle 9i. After releasing version 1.0 with support for 10g and 11g, our next step was then to get version 1.1 of SCfO out with support for 9i. However, there were some significant problems that we had to overcome first. This post will concentrate on query execution time. When we first tested SCfO on a 9i server, after accounting for various changes to the data dictionary, we found that database registration was taking a long time. And I mean a looooooong time. The same database that on 10g or 11g would take a couple of minutes to register would be taking upwards of 30 mins on 9i. Obviously, this is not ideal, so a poke around the query execution plans was required. As an example, let's take the table population query - the one that reads ALL_TABLES and joins it with a few other dictionary views to get us back our list of tables. On 10g, this query takes 5.6 seconds. On 9i, it takes 89.47 seconds. The difference in execution plan is even more dramatic - here's the (edited) execution plan on 10g: -------------------------------------------------------------------------------| Id | Operation | Name | Bytes | Cost |-------------------------------------------------------------------------------| 0 | SELECT STATEMENT | | 108K| 939 || 1 | SORT ORDER BY | | 108K| 939 || 2 | NESTED LOOPS OUTER | | 108K| 938 ||* 3 | HASH JOIN RIGHT OUTER | | 103K| 762 || 4 | VIEW | ALL_EXTERNAL_LOCATIONS | 2058 | 3 ||* 20 | HASH JOIN RIGHT OUTER | | 73472 | 759 || 21 | VIEW | ALL_EXTERNAL_TABLES | 2097 | 3 ||* 34 | HASH JOIN RIGHT OUTER | | 39920 | 755 || 35 | VIEW | ALL_MVIEWS | 51 | 7 || 58 | NESTED LOOPS OUTER | | 39104 | 748 || 59 | VIEW | ALL_TABLES | 6704 | 668 || 89 | VIEW PUSHED PREDICATE | ALL_TAB_COMMENTS | 2025 | 5 || 106 | VIEW | ALL_PART_TABLES | 277 | 11 |------------------------------------------------------------------------------- And the same query on 9i: -------------------------------------------------------------------------------| Id | Operation | Name | Bytes | Cost |-------------------------------------------------------------------------------| 0 | SELECT STATEMENT | | 16P| 55G|| 1 | SORT ORDER BY | | 16P| 55G|| 2 | NESTED LOOPS OUTER | | 16P| 862M|| 3 | NESTED LOOPS OUTER | | 5251G| 992K|| 4 | NESTED LOOPS OUTER | | 4243M| 2578 || 5 | NESTED LOOPS OUTER | | 2669K| 1440 ||* 6 | HASH JOIN OUTER | | 398K| 302 || 7 | VIEW | ALL_TABLES | 342K| 276 || 29 | VIEW | ALL_MVIEWS | 51 | 20 ||* 50 | VIEW PUSHED PREDICATE | ALL_TAB_COMMENTS | 2043 | ||* 66 | VIEW PUSHED PREDICATE | ALL_EXTERNAL_TABLES | 1777K| ||* 80 | VIEW PUSHED PREDICATE | ALL_EXTERNAL_LOCATIONS | 1744K| ||* 96 | VIEW | ALL_PART_TABLES | 852K| |------------------------------------------------------------------------------- Have a look at the cost column. 10g's overall query cost is 939, and 9i is 55,000,000,000 (or more precisely, 55,496,472,769). It's also having to process far more data. What on earth could be causing this huge difference in query cost? After trawling through the '10g New Features' documentation, we found item 1.9.2.21. Before 10g, Oracle advised that you do not collect statistics on data dictionary objects. From 10g, it advised that you do collect statistics on the data dictionary; for our queries, Oracle therefore knows what sort of data is in the dictionary tables, and so can generate an efficient execution plan. On 9i, no statistics are present on the system tables, so Oracle has to use the Rule Based Optimizer, which turns most LEFT JOINs into nested loops. If we force 9i to use hash joins, like 10g, we get a much better plan: -------------------------------------------------------------------------------| Id | Operation | Name | Bytes | Cost |-------------------------------------------------------------------------------| 0 | SELECT STATEMENT | | 7587K| 3704 || 1 | SORT ORDER BY | | 7587K| 3704 ||* 2 | HASH JOIN OUTER | | 7587K| 822 ||* 3 | HASH JOIN OUTER | | 5262K| 616 ||* 4 | HASH JOIN OUTER | | 2980K| 465 ||* 5 | HASH JOIN OUTER | | 710K| 432 ||* 6 | HASH JOIN OUTER | | 398K| 302 || 7 | VIEW | ALL_TABLES | 342K| 276 || 29 | VIEW | ALL_MVIEWS | 51 | 20 || 50 | VIEW | ALL_PART_TABLES | 852K| 104 || 78 | VIEW | ALL_TAB_COMMENTS | 2043 | 14 || 93 | VIEW | ALL_EXTERNAL_LOCATIONS | 1744K| 31 || 106 | VIEW | ALL_EXTERNAL_TABLES | 1777K| 28 |------------------------------------------------------------------------------- That's much more like it. This drops the execution time down to 24 seconds. Not as good as 10g, but still an improvement. There are still several problems with this, however. 10g introduced a new join method - a right outer hash join (used in the first execution plan). The 9i query optimizer doesn't have this option available, so forcing a hash join means it has to hash the ALL_TABLES table, and furthermore re-hash it for every hash join in the execution plan; this could be thousands and thousands of rows. And although forcing hash joins somewhat alleviates this problem on our test systems, there's no guarantee that this will improve the execution time on customers' systems; it may even increase the time it takes (say, if all their tables are partitioned, or they've got a lot of materialized views). Ideally, we would want a solution that provides a speedup whatever the input. To try and get some ideas, we asked some oracle performance specialists to see if they had any ideas or tips. Their recommendation was to add a hidden hook into the product that allowed users to specify their own query hints, or even rewrite the queries entirely. However, we would prefer not to take that approach; as well as a lot of new infrastructure & a rewrite of the population code, it would have meant that any users of 9i would have to spend some time optimizing it to get it working on their system before they could use the product. Another approach was needed. All our population queries have a very specific pattern - a base table provides most of the information we need (ALL_TABLES for tables, or ALL_TAB_COLS for columns) and we do a left join to extra subsidiary tables that fill in gaps (for instance, ALL_PART_TABLES for partition information). All the left joins use the same set of columns to join on (typically the object owner & name), so we could re-use the hash information for each join, rather than re-hashing the same columns for every join. To allow us to do this, along with various other performance improvements that could be done for the specific query pattern we were using, we read all the tables individually and do a hash join on the client. Fortunately, this 'pure' algorithmic problem is the kind that can be very well optimized for expected real-world situations; as well as storing row data we're not using in the hash key on disk, we use very specific memory-efficient data structures to store all the information we need. This allows us to achieve a database population time that is as fast as on 10g, and even (in some situations) slightly faster, and a memory overhead of roughly 150 bytes per row of data in the result set (for schemas with 10,000 tables in that means an extra 1.4MB memory being used during population). Next: fun with the 9i dictionary views.

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  • Dynamically load images inside jar

    - by Rahat Ahmed
    I'm using Slick2d for a game, and while it runs fine in Eclipse, i'm trying to figure out how to make it work when exported to a runnable .jar. I have it set up to where I load every image located in the res/ directory. Here's the code /** * Loads all .png images located in source folders. * @throws SlickException */ public static void init() throws SlickException { loadedImages = new HashMap<>(); try { URI uri = new URI(ResourceLoader.getResource("res").toString()); File[] files = new File(uri).listFiles(new FilenameFilter(){ @Override public boolean accept(File dir, String name) { if(name.endsWith(".png")) return true; return false; } }); System.out.println("Naming filenames now."); for(File f:files) { System.out.println(f.getName()); FileInputStream fis = new FileInputStream(f); Image image = new Image(fis, f.getName(), false); loadedImages.put(f.getName(), image); } } catch (URISyntaxException | FileNotFoundException e) { System.err.println("UNABLE TO LOAD IMAGES FROM RES FOLDER!"); e.printStackTrace(); } font = new AngelCodeFont("res/bitmapfont.fnt",Art.get("bitmapfont.png")); } Now the obvious problem is the line URI uri = new URI(ResourceLoader.getResource("res").toString()); If I pack the res folder into the .jar there will not be a res folder on the filesystem. How can I iterate through all the images in the compiled .jar itself, or what is a better system to automatically load all images?

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  • How to perform a detailed and quick 3D performance test

    - by gsedej
    I am wondering how to quickly test performance of my 3D graphics. Since glxgears is not benchmark what should I use. Also glxgears sometimes stuck at 60FPS, you cannot even compare before/after driver update (e.g. adding xorg-edgers PPA). Even glxgears doesn't really work out of box. One possibility is screensavers, but you can't see FPS. I am also not willing to install 600MB nexuiz, specially if I am running on Live-CD. Other 3D games are also very big... Unigine tests are too demanding for opensource drivers (problems with too low OpenGL and probably texture compression (S3TC...)). I would also like to test OpenGL 2.x extentions. How to quickly test your 3D performance?

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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. Still in 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.php, or, send your questions to [email protected]. WebLogic Partner Community For regular information become a member in the WebLogic Partner Community please visit: http://www.oracle.com/partners/goto/wls-emea ( OPN account required). If you need support with your account please contact the Oracle Partner Business Center. BlogTwitterLinkedInMixForumWiki Technorati Tags: Coherence,cloudtran,cache,WebLogic Community,Oracle,OPN,Jürgen Kress

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  • R Statistical Analytics with Faster Performance for Enterprise Database Access and Big Data

    - by Mike.Hallett(at)Oracle-BI&EPM
    Further demonstrating commitment to the open source community, Oracle has just released enhanced support of the R statistical programming language for Oracle Solaris and AIX in addition to Linux and Windows, connectivity to Oracle TimesTen In-Memory Database in addition to Oracle Database, and integration of hardware-specific Math libraries for faster performance.  Oracle’s Open Source distribution of R is available with the Oracle Big Data Appliance and available for download now. Oracle also offers Oracle R Enterprise, a component of Oracle Advanced Analytics that enables R processing on Oracle Database servers.   This all goes to make big data analytics more accessible in the enterprise and improving data scientist productivity with faster performance Since its introduction in 1995, R has attracted more than two million users and is widely used today for developing statistical applications that analyze big data. Analyst Report: Oracle Advances its Advanced Analytics Strategy  

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  • Quick Tip - Speed a Slow Restore from the Transaction Log

    - by KKline
    Here's a quick tip for you: During some restore operations on Microsoft SQL Server, the transaction log redo step might be taking an unusually long time. Depending somewhat on the version and edition of SQL Server you've installed, you may be able to increase performance by tinkering with the readahead performance for the redo operations. To do this, you should use the MAXTRANSFERSIZE parameter of the RESTORE statement. For example, if you set MAXTRANSFERSIZE=1048576, it'll use 1MB buffers. If you...(read more)

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  • New Information Center - Optimize Performance of FMW 11g

    - by Daniel Mortimer
    Following on the heels of the recently published - "Reviewing Security for FMW 11g" Information Center, we are pleased to announce the publication of Information Center: Optimizing Performance of Oracle Fusion Middleware 11g [ID 1469617.2] Screenshot of ID 1469617.2 We are in the process of making further tweaks and changes to improve the other ** "Oracle Fusion Middleware 11g" Information Centers. So watch this space! ** You can navigate to these other Information Centers via the menu found on the left hand side of the "Optimize Performance" Information Center.

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  • Tips to Increase PC Performance in Windows 7

    The Windows 7 Task Manager is a solid tool that gives you an overview of what is happening in terms of running processes on your computer. While the Task Manager may appear simple to the naked eye it can be used in several ways to help identify possible sources of problematic performance. This tutorial will offer some tips that you can employ with the Task Manager to help improve your PC s performance.... Rolling out Agile Development? Try now! Explore Agile on an integrated platform for Agile and traditional development

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  • Free eBook: 45 Database Performance Tips for Developers

    As a developer, if you need to go into the database and write queries, design tables, or determine the configuration of your SQL Server Systems, these tips should help make sure you're not unnecessarily sacrificing database performance. This eBook has 45 easy tips to improve the performance of your indexes and T-SQL queries, and hunt down problems within ORM tools and database design. Save 45% on our top SQL Server database administration tools. Together they make up the SQL DBA Bundle, which supports your core tasks and helps your day run smoothly. Download a free trial now.

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  • Why the static data members have to be defined outside the class separately in C++ (unlike Java)?

    - by iammilind
    class A { static int foo () {} // ok static int x; // <--- needed to be defined separately in .cpp file }; I don't see a need of having A::x defined separately in a .cpp file (or same file for templates). Why can't be A::x declared and defined at the same time? Has it been forbidden for historical reasons? My main question is, will it affect any functionality if static data members were declared/defined at the same time (same as Java) ?

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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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  • How to improve Unity Performance?

    - by Wolter Hellmund
    I installed ubuntu netbook edition on my netbook* expecting to get the best performance out of it, but apparently, that didn't turn out. Unity is a bit slow on it, and when I click on Files and folders it takes a while to load the respective interface and the bar at the top disappears and then loads in. Is this expected? Is there anything I can do to improve the performance? Is this problem specific to my netbook? *Netbook info: Acer - Aspire One 1.6 GHz Intel Atom Processor 1 GB RAM Memory Intel GMA 950 graphics card

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  • Optimus Bumblebee Performance

    - by Chance
    After installing Ubuntu 12.04 and Bumblebee, I tested out the performance of the Nvidia card using Minecraft and a few other games. I've noticed it to be way slower than it was on Windows 7. Is this normal? I'm using the GT 630m. From what I've read online, nobody has said it to be slower than Windows. I'm just really curious because I want to use Linux so much more than Windows, but if I don't get the same performance I feel really picky. The Nvidia card is still faster than my Intel graphics on Ubuntu, but it's not as fast as it was for my on Windows. I get 60 - 80 fps on Minecraft on windows, while I get 28 - 48 fps on Ubuntu. Any Ideas why? Thanks so much!

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  • jquery ondrag map load only what has not been viewed

    - by David
    When a person mouse down, moves the mouse, and mouses up the system gets the different in the mouse down coord and the mouse up coords and loads in the new map items. However, the problem is it loads them every time so I want a way to track what has been loaded without too much work on checking or storing checks. Most promising. Came up with while typing this. Section the screen into 250x250 sectors and check if that sector has been loaded. Keep track of each corner of the screen and see if there is an area of those that have not loaded. Keep a record of the corners of the screen. When mouse up coords are greater then load the different. Problem is if they are at coord 10,000 then it will load from -10k to 10k positive and that is a lot of items to load. Check every item on the page to see if it is loaded. If I do this I might as well reload the whole page. If anyone has some suggestions; feel free to pass them on.

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