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  • High CPU usage - symptoms moving from server to server after bouncing

    - by grt3kl
    First off, I apologize if I didn't include enough information to properly troubleshoot this issue. This sort of thing isn't my specialty, so it is a learning process. If there's something I need to provide, please let me know and I'll be happy to do what I can. The images associated with my question are at the bottom of this post. We are dealing with a clustered environment of four WebLogic 9.2 Java application servers. The cluster utilizes a round-robin load algorithm. Other details include: Java(TM) 2 Runtime Environment, Standard Edition (build 1.5.0_12-b04) BEA JRockit(R) (build R27.4.0-90_CR352234-91983-1.5.0_12-20071115-1605-linux-x86_64, compiled mode) Basically, I started looking at the servers' performance because our customers are seeing lots of lag at various times of the day. Our servers should easily handle the loads they are given, so it's not clear what's going on. Using HP Performance Manager, I generated some graphs that indicate that the CPU usage is completely out of whack. It seems that, at any given point, one or more of the servers has a CPU utilization of over 50%. I know this isn't particularly high, but I would say it is a red flag based on the CPU utilization of the other servers in the WebLogic cluster. Interesting things to note: The high CPU utilization was occurring only on server02 for several weeks. The server crashed (extremely rare; we are not sure if it's related to this) and upon starting it back up, the CPU utilization was normal on all 4 servers. We restarted all 4 managed servers and the application server (on server01) yesterday, on 2/28. As you can see, server03 and server04 picked up the behavior that was seen on server02 before. The CPU utilization is a Java process owned by the application user (appown). The number of transactions is consistent across all servers. It doesn't seem like any one server is actually handling more than another. If anyone has any ideas or can at least point me in the right direction, that would be great. Again, please let me know if there is any additional information I should post. Thanks!

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  • Do’s and Don’ts Building SharePoint Applications

    - by Bil Simser
    SharePoint is a great platform for building quick LOB applications. Simple things from employee time trackers to server and software inventory to full blown Help Desks can be crafted up using SharePoint from just customizing Lists. No programming necessary. However there are a few tricks I’ve painfully learned over the years that you can use for your own solutions. DO What’s In A Name? When you create a new list, column, or view you’ll commonly name it something like “Expense Reports”. However this has the ugly effect of creating a url to the list as “Expense%20Reports”. Or worse, an internal field name of “Expense_x0x0020_Reports” which is not only cryptic but hard to remember when you’re trying to find the column by internal name. While “Expense Reports 2011” is user friendly, “ExpenseReports2011” is not (unless you’re a programmer). So that’s not the solution. Well, not entirely. Instead when you create your column or list or view use the scrunched up name (I can’t think of the technical term for it right now) of “ExpenseReports2011”, “WomenAtTheOfficeThatAreMen” or “KoalaMeatIsGoodWhenBroiled”. After you’ve created it, go back and change the name to the more friendly “Silly Expense Reports That Nobody Reads”. The original internal name will be the url and code friendly one without spaces while the one used on data entry forms and view headers will be the human version. Smart Columns When building a view include columns that make sense. By default when you add a column the “Add to default view” is checked. Resist the urge to be lazy and leave it checked. Uncheck that puppy and decide consciously what columns should be included in the view. Pick columns that make sense to what the user is trying to do. This means you have to talk to the user. Yes, I know. That can be trying at times and even painful. Go ahead, talk to them. You might learn something. Find out what’s important to them and why. If they’re doing something repetitively as part of their job, try to make their life easier by including what’s most important to them. Do they really need to see the Created *and* Modified date of a document or do they just need the title and author? You’ll only find out after talking to them (or getting them drunk in a bar and leaving them in the back alley handcuffed to a garbage bin, don’t ask). Gotta Keep it Separated Hey, views are there for a reason. Use them. While “All Items” is a fine way to present a list of well, all items, it’s hardly sufficient to present a list of servers built before the Y2K bug hit. You’ll be scrolling the list for hours finally arriving at Page 387 of 12,591 and cursing that SharePoint guy for convincing you that putting your hardware into a list would be of any use to anyone. Next to collecting the data, presenting it is just as important. Views are often overlooked and many times ignored or misused. They’re the way you can slice and dice the data up so that you’re not trying to consume 3,000 years of human evolution on a single web page. Remember views can be filtered so feel free to create a view for each status or one for each operating system or one for each species of Information Worker you might be putting in that list or document library. Not only will it reduce the number of items someone sees at one time, it’ll also make the information that much more relevant. Also remember that each view is a separate page. Use it in navigation by creating a menu on the Quick Launch to each view. The discoverability of the Views menu isn’t overly obvious and if you violate the rule of columns (see Horizontally Scrolling below) the view menu doesn’t even show up until you shuffle the scroll bar to the left. Navigation links, big giant buttons, a screaming flashing “CLICK ME NOW” will help your users find their way. Sort It! Views are great so we’re building nice, rich views for the user. Awesomesauce. However sort is not very discoverable by the user. For example when you’re looking at a view how do you know if it’s ascending or descending and what is it sorted on. Maybe it’s sorted using two fields so what’s that all about? Help your users by letting them know the information they’re looking at is sorted. Maybe you name the view something appropriate like “Bogus Expense Claims Sorted By Deadbeats”. If you use the naming strategy just make sure you keep the name consistent with the description. In the previous example their better be a Deadbeat column so I can see the sort in action. Having a “Loser” column, while equally correct, is a little obtuse to the average Information Worker. Remember, they usually don’t use acronyms and even if they knew how to, it’s not immediately obvious to them that’s what you’re trying to convey. Another option is to simply drop a Content Editor Web Part above the list and explain exactly the view they’re looking at. Each view is it’s own page so one CEWP won’t be used across the board. Be descriptive in what the user is seeing but try to keep it brief. Dumping the first chapter of I, Claudius might be informative to the data but can gobble up screen real estate and miss the point of having the list. DO NOT Useless Attachments The attachments column is, in a word, useless. For the most part. Sure it indicates there’s an attachment on the list item but in the grand scheme of things that’s not overly informative. Maybe it is and by all means, if it makes sense to you include it. Colour it. Make it shine and stand like the Return of Clippy on every SharePoint list. Without it being functional it can be boring. EndUserSharePoint.com has an article to make the son of Clippy that much more useful so feel free to head over and check out this blog post by Paul Grenier on the task (Warning code ahead! Danger Will Robinson!) In any case, I would suggest you remove it from your views. Again if it’s important then include it but consider the jQuery solution above to make it functional. It’s added by default to views and one of things that people forget to clean up. Horizontal Scrolling Screen real estate is premium so building a list that contains 8,000 columns and stretches horizontally across 15 screens probably isn’t the most user friendly experience. Most users can’t figure out how to scroll vertically let alone horizontally so don’t make it even that more confusing for them. Take the Steve Krug approach in your view designs and try not to make the user think. Again views are your friend. Consider splitting up the data into views where one view contains 10 columns and other view contains the other 10. Okay, maybe your information doesn’t work that way but humans can only process 7 pieces of data at a time, 10 at most (then their heads explode and you don’t want to clean that mess up, especially on a Friday night before the big dance). It drives me batshit crazy when I see a view with 80 columns of data. I often ask the user “So what do you do with all this information”. The response is usually “With this data [the first 10 columns] I decide if I’m going to fire everyone, and with this data [the next 10 columns] I decide if I’m going to set the building on fire and collect the insurance”. It’s at that point I show them how to create two new views “People Who Are About To Get The Axe” and “Beach Time For The Executives”. Again, talk to your users and try to reason with them on cutting down the number of columns they see at once. Vertical Scrolling Another big faux pas I find is the use of multi-line comment fields in views. It’s not so bad when you have a statement like this in your view: “I really like, oh my god, thought I was going to scream when I saw this turtle then I decided what I was going to have for dinner and frankly I hate having to work late so when I was talking to the customer I thought, oh my god, what if the customer has turtles and then it appeared to me that I really was hungry so I'm going to have lunch now.” It’s fine if that’s the only column along with two or three others, but once you slap those 20 columns of data into the list, the comment field wraps and forms a new multi-page novel that takes up your entire screen. Do everyone a favour and just avoid adding the column to views. Train the user to just click through to the item if they need to see the contents. Duplicate Information Duplication is never good. Views and great as you can group data together. For example create a view of project status reports grouped by author. Then you can see what project manager is being a dip and not submitting their report. However if you group by author do you really need the Created By field as well in the view? Or if the view is grouped by Project then Author do you need both. Horizontal real estate is always at a premium so try not to clutter up the view with duplicate data like this. Oh  yeah, if you’re scratching your head saying “But Bil, if I don’t include the Project name in the view and I have a lot of items then how do I know which one I’m looking at”. That’s a hint that your grouping is too vague or you have too much data in the view based on that criteria. Filter it down a notch, create some views, and try to keep the group down to a single screen where you can see the group header at the top of the page. Again it’s just managing the information you have. Redundant, See Redundant This partially relates to duplicate information and smart columns but basically remember to not include the obvious in a view. Remember, don’t make me think. If you’ve gone to the trouble (and it was a lot of trouble wasn’t it?) to create separate views of your data by creating a “September Zombie Brain Sales”, “October Zombie Brain Sales”, etc. then please for the love of all that is holy do not include the Month and Product columns in your view. Similarly if you create a “My” view of anything (“My Favourite Brands of Spandex”, “My Co-Workers I Find The Urge To Disinfect”) then again, do not include the owner or author field (or whatever field you use to identify “My”). That’s just silly. Hope that helps! Happy customizing!

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  • .Net Intermittent System.Web.Services.Protocols.SoapHeaderException

    - by ScottE
    We have a .net 3.5 web app that consumes third party web services. The proxy was created by adding a web reference to their wsdl. This proxy is not compiled. Our error logging is picking up frequent but intermittent exceptions: An exception of type 'System.Web.Services.Protocols.SoapHeaderException' occurred and was caught If I follow the url to the page that generated the exception, I can't recreate it. Edit: Here is most of the exception - where it bubbled up from Message : Internal Error Type : System.Web.Services.Protocols.SoapHeaderException, System.Web.Services, Version=2.0.0.0, Culture=neutral, PublicKeyToken=b03f5f7f11d50a3a Source : System.Web.Services Help link : Actor : Code : http://schemas.xmlsoap.org/soap/envelope/:Client Detail : Lang : Node : Role : SubCode : Data : System.Collections.ListDictionaryInternal TargetSite : System.Object[] ReadResponse(System.Web.Services.Protocols.SoapClientMessage, System.Net.WebResponse, System.IO.Stream, Boolean) Stack Trace : at System.Web.Services.Protocols.SoapHttpClientProtocol.ReadResponse(SoapClientMessage message, WebResponse response, Stream responseStream, Boolean asyncCall) at System.Web.Services.Protocols.SoapHttpClientProtocol.Invoke(String methodName, Object[] parameters) at Vendor.getSearch(getSearchRequest getSearchRequest) in c:\WINDOWS\Microsoft.NET\Framework\v2.0.50727\Temporary ASP.NET Files\root\be43c34e\b09edc7e\App_WebReferences.pww-cf-q.0.cs:line 73 Edit 2: Inner exceptions: I sometimes get the following inner exceptions logged: Message : Unable to read data from the transport connection: An existing connection was forcibly closed by the remote host. Type : System.IO.IOException, mscorlib, Version=2.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089 Source : System Help link : Data : System.Collections.ListDictionaryInternal TargetSite : Int32 Read(Byte[], Int32, Int32) Stack Trace : at System.Net.Sockets.NetworkStream.Read(Byte[] buffer, Int32 offset, Int32 size) at System.Net.FixedSizeReader.ReadPacket(Byte[] buffer, Int32 offset, Int32 count) at System.Net.Security.SslState.StartReceiveBlob(Byte[] buffer, AsyncProtocolRequest asyncRequest) at System.Net.Security.SslState.CheckCompletionBeforeNextReceive(ProtocolToken message, AsyncProtocolRequest asyncRequest) at System.Net.Security.SslState.StartSendBlob(Byte[] incoming, Int32 count, AsyncProtocolRequest asyncRequest) at System.Net.Security.SslState.ForceAuthentication(Boolean receiveFirst, Byte[] buffer, AsyncProtocolRequest asyncRequest) at System.Net.Security.SslState.ProcessAuthentication(LazyAsyncResult lazyResult) at System.Net.TlsStream.CallProcessAuthentication(Object state) at System.Threading.ExecutionContext.runTryCode(Object userData) at System.Runtime.CompilerServices.RuntimeHelpers.ExecuteCodeWithGuaranteedCleanup(TryCode code, CleanupCode backoutCode, Object userData) at System.Threading.ExecutionContext.RunInternal(ExecutionContext executionContext, ContextCallback callback, Object state) at System.Threading.ExecutionContext.Run(ExecutionContext executionContext, ContextCallback callback, Object state) at System.Net.TlsStream.ProcessAuthentication(LazyAsyncResult result) at System.Net.TlsStream.Write(Byte[] buffer, Int32 offset, Int32 size) at System.Net.PooledStream.Write(Byte[] buffer, Int32 offset, Int32 size) at System.Net.ConnectStream.WriteHeaders(Boolean async) And/Or: Message : An existing connection was forcibly closed by the remote host Type : System.Net.Sockets.SocketException, System, Version=2.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089 Source : System Help link : ErrorCode : 10054 SocketErrorCode : ConnectionReset NativeErrorCode : 10054 Data : System.Collections.ListDictionaryInternal TargetSite : Int32 Receive(Byte[], Int32, Int32, System.Net.Sockets.SocketFlags) Stack Trace : at System.Net.Sockets.Socket.Receive(Byte[] buffer, Int32 offset, Int32 size, SocketFlags socketFlags) at System.Net.Sockets.NetworkStream.Read(Byte[] buffer, Int32 offset, Int32 size) Update We're still working on it. Originally there was a route issue, which was resolved. We're still getting the inner exception with socket errors. We had MS support involved today, and they looked at some traces and network captures. The web service host does round-robin DNS, and they may be responding on a different IP address for the syn syn/ack from one ip, and the next from a different ip. This is not good. This is likely quite specific to our situation, but perhaps it applies to others as well. Microsoft Network Monitor and an application trace got us the information we needed.

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  • php-fpm + persistent sockets = 502 bad gateway

    - by leeoniya
    Put on your reading glasses - this will be a long-ish one. First, what I'm doing. I'm building a web-app interface for some particularly slow tcp devices. Opening a socket to them takes 200ms and an fwrite/fread cycle takes another 300ms. To reduce the need for both of these actions on each request, I'm opening a persistent tcp socket which reduces the response time by the aforementioned 200ms. I was hoping PHP-FPM would share the persistent connections between requests from different clients (and indeed it does!), but there are some issues which I havent been able to resolve after 2 days of interneting, reading logs and modifying settings. I have somewhat narrowed it down though. Setup: Ubuntu 13.04 x64 Server (fully updated) on Linode PHP 5.5.0-6~raring+1 (fpm-fcgi) nginx/1.5.2 Relevent config: nginx worker_processes 4; php-fpm/pool.d pm = dynamic pm.max_children = 2 pm.start_servers = 2 pm.min_spare_servers = 2 Let's go from coarse to fine detail of what happens. After a fresh start I have 4x nginx processes and 2x php5-fpm processes waiting to handle requests. Then I send requests every couple seconds to the script. The first take a while to open the socket connection and returns with the data in about 500ms, the second returns data in 300ms (yay it's re-using the socket), the third also succeeds in about 300ms, the fourth request = 502 Bad Gateway, same with the 5th. Sixth request once again returns data, except now it took 500ms again. The process repeats for several cycles after which every 4 requests result in 2x 502 Bad Gateways and 2x 500ms Data responses. If I double all the fpm pool values and have 4x php-fpm processes running, the cycles settles in with 4x successful 500ms responses followed by 4x Bad Gateway errors. If I don't use persistent sockets, this issue goes away but then every request is 500ms. What I suspect is happening is the persistent socket keeps each php-fpm process from idling and ties it up, so the next one gets chosen until none are left and as they error out, maybe they are restarted and become available on the next round-robin loop ut the socket dies with the process. I haven't yet checked the 'slowlog', but the nginx error log shows lots of this: *188 recv() failed (104: Connection reset by peer) while reading response header from upstream, client:... All the suggestions on the internet regarding fixing nginx/php-fpm/502 bad gateway relate to high load or fcgi_pass misconfiguration. This is not the case here. Increasing buffers/sizes, changing timeouts, switching from unix socket to tcp socket for fcgi_pass, upping connection limits on the system....none of this stuff applies here. I've had some other success with setting pm = ondemand rather than dynamic, but as soon as the initial fpm-process gets killed off after idling, the persistent socket is gone for all subsequent php-fpm spawns. For the php script, I'm using stream_socket_client() with a STREAM_CLIENT_PERSISTENT flag. A while/stream_select() loop to detect socket data and fread($sock, 4096) to grab the data. I don't call fclose() obviously. If anyone has some additional questions or advice on how to get a persistent socket without tying up the php-fpm processes beyond the request completion, or maybe some other things to try, I'd appreciate it. some useful links: Nginx + php-fpm - recv() error Nginx + php-fpm "504 Gateway Time-out" error with almost zero load (on a test-server) Nginx + PHP-FPM "error 104 Connection reset by peer" causes occasional duplicate posts http://www.linuxquestions.org/questions/programming-9/php-pfsockopen-552084/ http://stackoverflow.com/questions/14268018/concurrent-use-of-a-persistent-php-socket http://devzone.zend.com/303/extension-writing-part-i-introduction-to-php-and-zend/#Heading3 http://stackoverflow.com/questions/242316/how-to-keep-a-php-stream-socket-alive http://php.net/manual/en/install.fpm.configuration.php https://www.google.com/search?q=recv%28%29+failed+%28104:+Connection+reset+by+peer%29+while+reading+response+header+from+upstream+%22502%22&ei=mC1XUrm7F4WQyAHbv4H4AQ&start=10&sa=N&biw=1920&bih=953&dpr=1

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  • What's wrong with this vcl config for varnish-cache as load balancer?

    - by dabito
    I have the current configurations active on my default.vcl varnish file on the machine that balances the load for other two machines (the other two machines also have varnish active). My intention is to have this server do only the load balancing and the other machines do the processing and also their own caching. My problem is that even with the config testing (not even a stress test or anything, just a few requests a minute) I get the guru meditation error and have to restart varnish. This is the default.vcl for the load balancing server: backend vader { .host = "app1.server.com"; .probe = { .url = "/"; .interval = 10s; .timeout = 4s; .window = 5; .threshold = 3; } } backend malgus { .host = "app2.server.com"; .probe = { .url = "/"; .interval = 10s; .timeout = 4s; .window = 5; .threshold = 3; } } director dooku round-robin { { .backend = vader; } { .backend = malgus; } } sub vcl_recv { if (req.http.host ~ "^balancer.server.com$") { set req.backend = dooku; } } Am I doing something wrong or missing something? EDIT: This is varnishlog's output: 0 CLI - Rd ping 0 CLI - Wr 200 19 PONG 1345839995 1.0 0 CLI - Rd ping 0 CLI - Wr 200 19 PONG 1345839998 1.0 0 CLI - Rd ping 0 CLI - Wr 200 19 PONG 1345840001 1.0 0 Backend_health - malgus Still sick 4--X--- 0 3 5 0.000000 3.846876 0 Backend_health - vader Still sick 4--X--- 0 3 5 0.000000 3.839194 0 CLI - Rd ping 0 CLI - Wr 200 19 PONG 1345840004 1.0 14 SessionOpen c 10.150.7.151 38272 :80 14 ReqStart c 10.150.7.151 38272 458200540 14 RxRequest c GET 14 RxURL c / 14 RxProtocol c HTTP/1.1 14 RxHeader c Host: dooku-dev.excelsior.com 14 RxHeader c Connection: keep-alive 14 RxHeader c User-Agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/536.11 (KHTML, like Gecko) Chrome/20.0.1132.47 Safari/536.11 14 RxHeader c Accept: text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8 14 RxHeader c Accept-Encoding: gzip,deflate,sdch 14 RxHeader c Accept-Language: en-US,en;q=0.8,es-419;q=0.6,es;q=0.4 14 RxHeader c Accept-Charset: ISO-8859-1,utf-8;q=0.7,*;q=0.3 14 RxHeader c Cookie: SESSa87d6c6da0c61037a9169122dc5e4a19=HR_0Srhgc-uDArT3aJFzOBy31FtzneTXg38byr1eGMU; __atuvc=4%7C33 14 VCL_call c recv pass 14 VCL_call c hash 14 Hash c / 14 Hash c dooku-dev.excelsior.com 14 VCL_return c hash 14 VCL_call c pass pass 14 FetchError c no backend connection 14 VCL_call c error deliver 14 VCL_call c deliver deliver 14 TxProtocol c HTTP/1.1 14 TxStatus c 503 14 TxResponse c Service Unavailable 14 TxHeader c Server: Varnish 14 TxHeader c Content-Type: text/html; charset=utf-8 14 TxHeader c Retry-After: 5 14 TxHeader c Content-Length: 418 14 TxHeader c Accept-Ranges: bytes 14 TxHeader c Date: Fri, 24 Aug 2012 20:26:44 GMT 14 TxHeader c X-Varnish: 458200540 14 TxHeader c Age: 0 14 TxHeader c Via: 1.1 varnish 14 TxHeader c Connection: close 14 Length c 418 14 ReqEnd c 458200540 1345840004.916415691 1345840004.965190172 0.020933390 0.048741817 0.000032663 14 SessionClose c error 14 StatSess c 10.150.7.151 38272 0 1 1 0 1 0 256 418 14 SessionOpen c 10.150.7.151 38273 :80 14 ReqStart c 10.150.7.151 38273 458200541 14 RxRequest c GET 14 RxURL c /favicon.ico 14 RxProtocol c HTTP/1.1 14 RxHeader c Host: dooku-dev.excelsior.com 14 RxHeader c Connection: keep-alive 14 RxHeader c Accept: */* 14 RxHeader c User-Agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/536.11 (KHTML, like Gecko) Chrome/20.0.1132.47 Safari/536.11 14 RxHeader c Accept-Encoding: gzip,deflate,sdch 14 RxHeader c Accept-Language: en-US,en;q=0.8,es-419;q=0.6,es;q=0.4 14 RxHeader c Accept-Charset: ISO-8859-1,utf-8;q=0.7,*;q=0.3 14 RxHeader c Cookie: SESSa87d6c6da0c61037a9169122dc5e4a19=HR_0Srhgc-uDArT3aJFzOBy31FtzneTXg38byr1eGMU; __atuvc=4%7C33 14 VCL_call c recv pass 14 VCL_call c hash 14 Hash c /favicon.ico 14 Hash c dooku-dev.excelsior.com 14 VCL_return c hash 14 VCL_call c pass pass 14 FetchError c no backend connection 14 VCL_call c error deliver 14 VCL_call c deliver deliver 14 TxProtocol c HTTP/1.1 14 TxStatus c 503 14 TxResponse c Service Unavailable 14 TxHeader c Server: Varnish 14 TxHeader c Content-Type: text/html; charset=utf-8 14 TxHeader c Retry-After: 5 14 TxHeader c Content-Length: 418 14 TxHeader c Accept-Ranges: bytes 14 TxHeader c Date: Fri, 24 Aug 2012 20:26:45 GMT 14 TxHeader c X-Varnish: 458200541 14 TxHeader c Age: 0 14 TxHeader c Via: 1.1 varnish 14 TxHeader c Connection: close 14 Length c 418 14 ReqEnd c 458200541 1345840005.226389885 1345840005.226457834 0.000026941 0.000043154 0.000024796 14 SessionClose c error 14 StatSess c 10.150.7.151 38273 0 1 1 0 1 0 256 418

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  • &lt;%: %&gt;, HtmlEncode, IHtmlString and MvcHtmlString

    - by Shaun
    One of my colleague and friend, Robin is playing and struggling with the ASP.NET MVC 2 on a project these days while I’m struggling with a annoying client. Since it’s his first time to use ASP.NET MVC he was meetings with a lot of problem and I was very happy to share my experience to him. Yesterday he asked me when he attempted to insert a <br /> element into his page he found that the page was rendered like this which is bad. He found his <br /> was shown as a part of the string rather than creating a new line. After checked a bit in his code I found that it’s because he utilized a new ASP.NET markup supported in .NET 4.0 – “<%: %>”. If you have been using ASP.NET MVC 1 or in .NET 3.5 world it would be very common that using <%= %> to show something on the page from the backend code. But when you do it you must ensure that the string that are going to be displayed should be Html-safe, which means all the Html markups must be encoded. Otherwise this might cause an XSS (cross-site scripting) problem. So that you’d better use the code like this below to display anything on the page. In .NET 4.0 Microsoft introduced a new markup to solve this problem which is <%: %>. It will encode the content automatically so that you will no need to check and verify your code manually for the XSS issue mentioned below. But this also means that it will encode all things, include the Html element you want to be rendered. So I changed his code like this and it worked well. After helped him solved this problem and finished a spreadsheet for my boring project I considered a bit more on the <%: %>. Since it will encode all thing why it renders correctly when we use “<%: Html.TextBox(“name”) %>” to show a text box? As you know the Html.TextBox will render a “<input name="name" id="name" type="text"/>” element on the page. If <%: %> will encode everything it should not display a text box. So I dig into the source code of the MVC and found some comments in the class MvcHtmlString. 1: // In ASP.NET 4, a new syntax <%: %> is being introduced in WebForms pages, where <%: expression %> is equivalent to 2: // <%= HttpUtility.HtmlEncode(expression) %>. The intent of this is to reduce common causes of XSS vulnerabilities 3: // in WebForms pages (WebForms views in the case of MVC). This involves the addition of an interface 4: // System.Web.IHtmlString and a static method overload System.Web.HttpUtility::HtmlEncode(object). The interface 5: // definition is roughly: 6: // public interface IHtmlString { 7: // string ToHtmlString(); 8: // } 9: // And the HtmlEncode(object) logic is roughly: 10: // - If the input argument is an IHtmlString, return argument.ToHtmlString(), 11: // - Otherwise, return HtmlEncode(Convert.ToString(argument)). 12: // 13: // Unfortunately this has the effect that calling <%: Html.SomeHelper() %> in an MVC application running on .NET 4 14: // will end up encoding output that is already HTML-safe. As a result, we're changing out HTML helpers to return 15: // MvcHtmlString where appropriate. <%= Html.SomeHelper() %> will continue to work in both .NET 3.5 and .NET 4, but 16: // changing the return types to MvcHtmlString has the added benefit that <%: Html.SomeHelper() %> will also work 17: // properly in .NET 4 rather than resulting in a double-encoded output. MVC developers in .NET 4 will then be able 18: // to use the <%: %> syntax almost everywhere instead of having to remember where to use <%= %> and where to use 19: // <%: %>. This should help developers craft more secure web applications by default. 20: // 21: // To create an MvcHtmlString, use the static Create() method instead of calling the protected constructor. The comment said the encoding rule of the <%: %> would be: If the type of the content is IHtmlString it will NOT encode since the IHtmlString indicates that it’s Html-safe. Otherwise it will use HtmlEncode to encode the content. If we check the return type of the Html.TextBox method we will find that it’s MvcHtmlString, which was implemented the IHtmlString interface dynamically. That is the reason why the “<input name="name" id="name" type="text"/>” was not encoded by <%: %>. So if we want to tell ASP.NET MVC, or I should say the ASP.NET runtime that the content is Html-safe and no need, or should not be encoded we can convert the content into IHtmlString. So another resolution would be like this. Also we can create an extension method as well for better developing experience. 1: using System; 2: using System.Collections.Generic; 3: using System.Linq; 4: using System.Web; 5: using System.Web.Mvc; 6:  7: namespace ShaunXu.Blogs.IHtmlStringIssue 8: { 9: public static class Helpers 10: { 11: public static MvcHtmlString IsHtmlSafe(this string content) 12: { 13: return MvcHtmlString.Create(content); 14: } 15: } 16: } Then the view would be like this. And the page rendered correctly.         Summary In this post I explained a bit about the new markup in .NET 4.0 – <%: %> and its usage. I also explained a bit about how to control the page content, whether it should be encoded or not. We can see the ASP.NET MVC gives us more points to control the web pages.   Hope this helps, Shaun All documents and related graphics, codes are provided "AS IS" without warranty of any kind. Copyright © Shaun Ziyan Xu. This work is licensed under the Creative Commons License.

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  • How to create multiboot flash drive

    - by Nrew
    I've found a guide here: http://www.pendrivelinux.com/boot-multiple-iso-from-usb-multiboot-usb/ And found this menu.lst in my flash drive, which seems to be the one that I'm seeing when I boot using my flash drive: # This Menu Created by Lance http://www.pendrivelinux.com # Ongoing Suggested Menu Entries and the Suggestor are noted! default 0 timeout 30 color NORMAL HIGHLIGHT HELPTEXT HEADING splashimage=(hd0,0)/splash.xpm.gz foreground=FFFFFF background=0066FF title Memtest86+ find --set-root /memtest86+-4.00.iso map --mem /memtest86+-4.00.iso (hd32) map --hook root (hd32) chainloader (hd32) # Suggested by madprofessor title Boot Clonezilla root (hd0,0) kernel /clonezilla/live/vmlinuz live-media-path=clonezilla/live bootfrom=/dev/sd boot=live union=aufs noprompt ocs_live_run="ocs-live-general" ocs_live_extra_param="" ocs_live_keymap="" ocs_live_batch="no" ocs_lang="" vga=791 ip=frommedia initrd /clonezilla/live/initrd.img title Parted Magic 4.9 (Partition Tools) find --set-root /pmagic-4.9.iso map /pmagic-4.9.iso (hd32) map --hook root (hd32) chainloader (hd32) # Suggested by Deb title Partition Wizard 4.2 (Partition Tools) find --set-root /pwhe42.iso map /pwhe42.iso (hd32) map --hook root (hd32) chainloader (hd32) title Balder DOS image (FreeDOS) map --unsafe-boot /balder10.img (fd0) map --hook chainloader --force (fd0)+1 rootnoverify (fd0) # Suggested by Szymon Silski title Linux Mint 8 find --set-root /LinuxMint-8.iso map /LinuxMint-8.iso (0xff) map --hook root (0xff) kernel /casper/vmlinuz file=/cdrom/preseed/mint.seed boot=casper persistent iso-scan/filename=/LinuxMint-8.iso splash initrd /casper/initrd.lz title Ubuntu 10.04 find --set-root /ubuntu-10.04-desktop-i386.iso map /ubuntu-10.04-desktop-i386.iso (0xff) map --hook root (0xff) kernel /casper/vmlinuz file=/cdrom/preseed/ubuntu.seed boot=casper persistent iso-scan/filename=/ubuntu-10.04-desktop-i386.iso splash initrd /casper/initrd.lz title Xubuntu 10.04 (XFCE Desktop) find --set-root /xubuntu-10.04-desktop-i386.iso map /xubuntu-10.04-desktop-i386.iso (0xff) map --hook root (0xff) kernel /casper/vmlinuz file=/cdrom/preseed/xubuntu.seed boot=casper persistent iso-scan/filename=/xubuntu-10.04-desktop-i386.iso splash initrd /casper/initrd.lz title Kubuntu 10.04 (KDE Desktop) find --set-root /kubuntu-10.04-desktop-i386.iso map /kubuntu-10.04-desktop-i386.iso (0xff) map --hook root (0xff) kernel /casper/vmlinuz file=/cdrom/preseed/kubuntu.seed boot=casper persistent iso-scan/filename=/kubuntu-10.04-desktop-i386.iso splash initrd /casper/initrd.lz # Suggested by Ambriel title Lubuntu 10.04 (LXDE Lightweight Desktop) find --set-root /lubuntu-10.04.iso map /lubuntu-10.04.iso (0xff) map --hook root (0xff) kernel /casper/vmlinuz file=/cdrom/preseed/lubuntu.seed boot=casper persistent iso-scan/filename=/lubuntu-10.04.iso splash initrd /casper/initrd.lz title Ubuntu 10.04 Netbook Remix (NetBook Distro) find --set-root /ubuntu-10.04-netbook-i386.iso map /ubuntu-10.04-netbook-i386.iso (0xff) map --hook root (0xff) kernel /casper/vmlinuz file=/cdrom/preseed/netbook-remix.seed boot=casper persistent iso-scan/filename=/ubuntu-10.04-netbook-i386.iso splash initrd /casper/initrd.lz title Ubuntu 10.04 Server Edition Installer (32 bit Installer Only) find --set-root /ubuntu-10.04-server-i386.iso map /ubuntu-10.04-server-i386.iso (0xff) map --hook root (0xff) kernel /install/vmlinuz file=/cdrom/preseed/ubuntu-server.seed boot=install iso-scan/filename=/ubuntu-10.04-server-i386.iso splash initrd /install/initrd.gz title Ubuntu 9.10 find --set-root /ubuntu-9.10-desktop-i386.iso map /ubuntu-9.10-desktop-i386.iso (0xff) map --hook root (0xff) kernel /casper/vmlinuz file=/cdrom/preseed/ubuntu.seed boot=casper persistent iso-scan/filename=/ubuntu-9.10-desktop-i386.iso splash initrd /casper/initrd.lz title Xubuntu 9.10 find --set-root /xubuntu-9.10-desktop-i386.iso map /xubuntu-9.10-desktop-i386.iso (0xff) map --hook root (0xff) kernel /casper/vmlinuz file=/cdrom/preseed/xubuntu.seed boot=casper persistent iso-scan/filename=/xubuntu-9.10-desktop-i386.iso splash initrd /casper/initrd.lz title Kubuntu 9.10 find --set-root /kubuntu-9.10-desktop-i386.iso map /kubuntu-9.10-desktop-i386.iso (0xff) map --hook root (0xff) kernel /casper/vmlinuz file=/cdrom/preseed/kubuntu.seed boot=casper persistent iso-scan/filename=/kubuntu-9.10-desktop-i386.iso splash initrd /casper/initrd.lz # Ubuntu Server and Netbook Remix suggested by Wojciech Holek title Ubuntu 9.10 Server Edition Installer (Installer Only) find --set-root /ubuntu-9.10-server-i386.iso map /ubuntu-9.10-server-i386.iso (0xff) map --hook root (0xff) kernel /install/vmlinuz file=/cdrom/preseed/ubuntu-server.seed boot=install iso-scan/filename=/ubuntu-9.10-server-i386.iso splash initrd /install/initrd.gz title Ubuntu 9.10 Netbook Remix (NetBook Distro) find --set-root /ubuntu-9.10-netbook-remix-i386.iso map /ubuntu-9.10-netbook-remix-i386.iso (0xff) map --hook root (0xff) kernel /casper/vmlinuz file=/cdrom/preseed/netbook-remix.seed boot=casper persistent iso-scan/filename=/ubuntu-9.10-netbook-remix-i386.iso splash initrd /casper/initrd.lz title Ubuntu 9.10 Rescue Remix (Recovery Tools) find --set-root /ubuntu-rescue-remix-9-10-revision1.iso map /ubuntu-rescue-remix-9-10-revision1.iso (0xff) map --hook root (0xff) kernel /casper/vmlinuz file=/cdrom/preseed/ubuntu.seed boot=casper iso-scan/filename=/ubuntu-rescue-remix-9-10-revision1.iso splash initrd /casper/initrd.lz title DSL 4.4.10 find --set-root /dsl-4.4.10-initrd.iso map --mem /dsl-4.4.10-initrd.iso (hd32) map --hook root (hd32) chainloader (hd32) title AVG Rescue CD (Anti-Virus + Anti-Spyware) find --set-root /avg_arl_en_90_100114.iso map /avg_arl_en_90_100114.iso (hd32) map --hook chainloader (hd32) title Ultimate Boot CD 4.11 find --set-root /ubcd411.iso map /ubcd411.iso (hd32) map --hook chainloader (hd32) title OphCrack XP 2.3.1 (XP Password Cracker) find --set-root /ophcrack-xp-livecd-2.3.1.iso map /ophcrack-xp-livecd-2.3.1.iso (0xff) map --hook root (0xff) kernel /boot/bzImage rw root=/dev/null vga=normal lang=C kmap=us screen=1024x768x16 autologin initrd /boot/rootfs.gz title OphCrack Vista 2.3.1 (Vista Password Cracker) find --set-root /ophcrack-vista-livecd-2.3.1.iso map /ophcrack-vista-livecd-2.3.1.iso (0xff) map --hook root (0xff) kernel /boot/bzImage rw root=/dev/null vga=normal lang=C kmap=us screen=1024x768x16 autologin initrd /boot/rootfs.gz # Suggested by Greg Steer title Offline NT Password & Registy Editor find --set-root /cd080802.iso map /cd080802.iso (hd32) map --hook chainloader (hd32) title SliTaz 2.0 find --set-root /slitaz-2.0.iso map --mem /slitaz-2.0.iso (hd32) map --hook chainloader (hd32) title Riplinux 9.3 find --set-root /RIPLinuX-9.3.iso map --heads=0 --sectors-per-track=0 /RIPLinuX-9.3.iso (0xff) || map --heads=0 --sectors-per-track=0 --mem /RIPLinuX-9.3.iso (0xff) map --hook chainloader (0xff) # Suggested by Sunny title YlmF (Windows Like OS) find --set-root /YlmF_OS_EN_v1.0.iso map /YlmF_OS_EN_v1.0.iso (0xff) map --hook root (0xff) kernel /casper/vmlinuz file=/cdrom/preseed/ubuntu.seed boot=casper persistent iso-scan/filename=/YlmF_OS_EN_v1.0.iso splash initrd /casper/initrd.lz # Suggested by Martin Andersson title DBAN 1.0.7 (Drive Nuker) find --set-root /dban-1.0.7_i386.iso map --mem /dban-1.0.7_i386.iso (hd32) map --hook root (hd32) chainloader (hd32) # Suggested by Robin McGough title xPUD 0.9.2 (NetBook Distro) find --set-root --ignore-floppies --ignore-cd /xpud-0.9.2.iso map --heads=0 --sectors-per-track=0 /xpud-0.9.2.iso (hd32) map --hook chainloader (hd32) title Puppy 4.3.1 find --set-root /puppy/pup-431.sfs kernel /puppy/vmlinuz initrd /puppy/initrd.gz # Suggested by Relst title Run a Linux OS from the Internet kernel /gpxe.lkrn I also put some .iso files for os installers (Windows xp sp2 and Ubuntu 10.04) But they didn't show up in the list when I booted Do I need to: extract the .iso files and put in in their respective folders? Add the os that I added on the menu.lst? How do I add the iso image(os) in the menu.lst? Before adding the .iso files I first made a folder named Windows xp sp2 then placed the .iso files in there. Please help, I think I need to add the folder name or the file name on the menu.lst but I don't know how

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  • Improving SAS multipath to JBOD performance on Linux

    - by user36825
    Hello all I'm trying to optimize a storage setup on some Sun hardware with Linux. Any thoughts would be greatly appreciated. We have the following hardware: Sun Blade X6270 2* LSISAS1068E SAS controllers 2* Sun J4400 JBODs with 1 TB disks (24 disks per JBOD) Fedora Core 12 2.6.33 release kernel from FC13 (also tried with latest 2.6.31 kernel from FC12, same results) Here's the datasheet for the SAS hardware: http://www.sun.com/storage/storage_networking/hba/sas/PCIe.pdf It's using PCI Express 1.0a, 8x lanes. With a bandwidth of 250 MB/sec per lane, we should be able to do 2000 MB/sec per SAS controller. Each controller can do 3 Gb/sec per port and has two 4 port PHYs. We connect both PHYs from a controller to a JBOD. So between the JBOD and the controller we have 2 PHYs * 4 SAS ports * 3 Gb/sec = 24 Gb/sec of bandwidth, which is more than the PCI Express bandwidth. With write caching enabled and when doing big writes, each disk can sustain about 80 MB/sec (near the start of the disk). With 24 disks, that means we should be able to do 1920 MB/sec per JBOD. multipath { rr_min_io 100 uid 0 path_grouping_policy multibus failback manual path_selector "round-robin 0" rr_weight priorities alias somealias no_path_retry queue mode 0644 gid 0 wwid somewwid } I tried values of 50, 100, 1000 for rr_min_io, but it doesn't seem to make much difference. Along with varying rr_min_io I tried adding some delay between starting the dd's to prevent all of them writing over the same PHY at the same time, but this didn't make any difference, so I think the I/O's are getting properly spread out. According to /proc/interrupts, the SAS controllers are using a "IR-IO-APIC-fasteoi" interrupt scheme. For some reason only core #0 in the machine is handling these interrupts. I can improve performance slightly by assigning a separate core to handle the interrupts for each SAS controller: echo 2 /proc/irq/24/smp_affinity echo 4 /proc/irq/26/smp_affinity Using dd to write to the disk generates "Function call interrupts" (no idea what these are), which are handled by core #4, so I keep other processes off this core too. I run 48 dd's (one for each disk), assigning them to cores not dealing with interrupts like so: taskset -c somecore dd if=/dev/zero of=/dev/mapper/mpathx oflag=direct bs=128M oflag=direct prevents any kind of buffer cache from getting involved. None of my cores seem maxed out. The cores dealing with interrupts are mostly idle and all the other cores are waiting on I/O as one would expect. Cpu0 : 0.0%us, 1.0%sy, 0.0%ni, 91.2%id, 7.5%wa, 0.0%hi, 0.2%si, 0.0%st Cpu1 : 0.0%us, 0.8%sy, 0.0%ni, 93.0%id, 0.2%wa, 0.0%hi, 6.0%si, 0.0%st Cpu2 : 0.0%us, 0.6%sy, 0.0%ni, 94.4%id, 0.1%wa, 0.0%hi, 4.8%si, 0.0%st Cpu3 : 0.0%us, 7.5%sy, 0.0%ni, 36.3%id, 56.1%wa, 0.0%hi, 0.0%si, 0.0%st Cpu4 : 0.0%us, 1.3%sy, 0.0%ni, 85.7%id, 4.9%wa, 0.0%hi, 8.1%si, 0.0%st Cpu5 : 0.1%us, 5.5%sy, 0.0%ni, 36.2%id, 58.3%wa, 0.0%hi, 0.0%si, 0.0%st Cpu6 : 0.0%us, 5.0%sy, 0.0%ni, 36.3%id, 58.7%wa, 0.0%hi, 0.0%si, 0.0%st Cpu7 : 0.0%us, 5.1%sy, 0.0%ni, 36.3%id, 58.5%wa, 0.0%hi, 0.0%si, 0.0%st Cpu8 : 0.1%us, 8.3%sy, 0.0%ni, 27.2%id, 64.4%wa, 0.0%hi, 0.0%si, 0.0%st Cpu9 : 0.1%us, 7.9%sy, 0.0%ni, 36.2%id, 55.8%wa, 0.0%hi, 0.0%si, 0.0%st Cpu10 : 0.0%us, 7.8%sy, 0.0%ni, 36.2%id, 56.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu11 : 0.0%us, 7.3%sy, 0.0%ni, 36.3%id, 56.4%wa, 0.0%hi, 0.0%si, 0.0%st Cpu12 : 0.0%us, 5.6%sy, 0.0%ni, 33.1%id, 61.2%wa, 0.0%hi, 0.0%si, 0.0%st Cpu13 : 0.1%us, 5.3%sy, 0.0%ni, 36.1%id, 58.5%wa, 0.0%hi, 0.0%si, 0.0%st Cpu14 : 0.0%us, 4.9%sy, 0.0%ni, 36.4%id, 58.7%wa, 0.0%hi, 0.0%si, 0.0%st Cpu15 : 0.1%us, 5.4%sy, 0.0%ni, 36.5%id, 58.1%wa, 0.0%hi, 0.0%si, 0.0%st Given all this, the throughput reported by running "dstat 10" is in the range of 2200-2300 MB/sec. Given the math above I would expect something in the range of 2*1920 ~= 3600+ MB/sec. Does anybody have any idea where my missing bandwidth went? Thanks!

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  • Load balancing using Mina example with Java DSL

    - by Flame_Phoenix
    So, recently I started learning Camel. As part of the process I decided to go through all the examples (listed HERE and available when you DOWNLOAD the package with all the examples and docs) and to see what I could learn. One of the examples, Load Balancing using Mina caught my attention because it uses a Mina in different JVM's and it simulates a load balancer with round robin. I have a few problems with this example. First it uses the Spring DSL, instead of the Java DSL which my project uses and which I find a lot easier to understand now (mainly also because I am used to it). So the first question: is there a version of this example using only the Java DSL instead of the Spring DSL for the routes and the beans? My second questions is code related. The description states, and I quote: Within this demo every ten seconds, a Report object is created from the Camel load balancer server. This object is sent by the Camel load balancer to a MINA server where the object is then serialized. One of the two MINA servers (localhost:9991 and localhost:9992) receives the object and enriches the message by setting the field reply of the Report object. The reply is sent back by the MINA server to the client, which then logs the reply on the console. So, from what I read, I understand that the MINA server 1 (per example) receives a report from the loadbalancer, changes it, and then it sends that report back to some invisible client. Upon checking the code, I see no client java class or XML and when I run, the server simply posts the results on the command line. Where is the client ?? What is this client? In the MINA 1server code presented here: <beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:camel="http://camel.apache.org/schema/spring" xsi:schemaLocation=" http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd http://camel.apache.org/schema/spring http://camel.apache.org/schema/spring/camel-spring.xsd"> <bean id="service" class="org.apache.camel.example.service.Reporting"/> <camelContext xmlns="http://camel.apache.org/schema/spring"> <route id="mina1"> <from uri="mina:tcp://localhost:9991"/> <setHeader headerName="minaServer"> <constant>localhost:9991</constant> </setHeader> <bean ref="service" method="updateReport"/> </route> </camelContext> </beans> I don't understand how the updateReport method magically prints the object on my console. What if I wanted to send message to a third MINA server? How would I do it? (I would have to add a new route, and send it to the URI of the 3rd server correct?) I know most of these questions may sound dumb, but I would appreciate if anyone could help me. A Java DSL version of this would really help me.

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  • Suggestions for lightweight, thread-safe scheduler

    - by nirvanai
    I am trying to write a round-robin scheduler for lightweight threads (fibers). It must scale to handle as many concurrently-scheduled fibers as possible. I also need to be able to schedule fibers from threads other than the one the run loop is on, and preferably unschedule them from arbitrary threads as well (though I could live with only being able to unschedule them from the run loop). My current idea is to have a circular doubly-linked list, where each fiber is a node and the scheduler holds a reference to the current node. This is what I have so far: using Interlocked = System.Threading.Interlocked; public class Thread { internal Future current_fiber; public void RunLoop () { while (true) { var fiber = current_fiber; if (fiber == null) { // block the thread until a fiber is scheduled continue; } if (fiber.Fulfilled) fiber.Unschedule (); else fiber.Resume (); //if (current_fiber == fiber) current_fiber = fiber.next; Interlocked.CompareExchange<Future> (ref current_fiber, fiber.next, fiber); } } } public abstract class Future { public bool Fulfilled { get; protected set; } internal Future previous, next; // this must be thread-safe // it inserts this node before thread.current_fiber // (getting the exact position doesn't matter, as long as the // chosen nodes haven't been unscheduled) public void Schedule (Thread thread) { next = this; // maintain circularity, even if this is the only node previous = this; try_again: var current = Interlocked.CompareExchange<Future> (ref thread.current_fiber, this, null); if (current == null) return; var target = current.previous; while (target == null) { // current was unscheduled; negotiate for new current_fiber var potential = current.next; var actual = Interlocked.CompareExchange<Future> (ref thread.current_fiber, potential, current); current = (actual == current? potential : actual); if (current == null) goto try_again; target = current.previous; } // I would lock "current" and "target" at this point. // How can I do this w/o risk of deadlock? next = current; previous = target; target.next = this; current.previous = this; } // this would ideally be thread-safe public void Unschedule () { var prev = previous; if (prev == null) { // already unscheduled return; } previous = null; if (next == this) { next = null; return; } // Again, I would lock "prev" and "next" here // How can I do this w/o risk of deadlock? prev.next = next; next.previous = prev; } public abstract void Resume (); } As you can see, my sticking point is that I cannot ensure the order of locking, so I can't lock more than one node without risking deadlock. Or can I? I don't want to have a global lock on the Thread object, since the amount of lock contention would be extreme. Plus, I don't especially care about insertion position, so if I lock each node separately then Schedule() could use something like Monitor.TryEnter and just keep walking the list until it finds an unlocked node. Overall, I'm not invested in any particular implementation, as long as it meets the requirements I've mentioned. Any ideas would be greatly appreciated. Thanks! P.S- For the curious, this is for an open source project I'm starting at http://github.com/nirvanai/Cirrus

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  • Recreating OMS instances in a HA environment when instances on all nodes are lost

    - by rnigam
    Oracle highly recommends deploying EM in a HA environment. The best practices for HA deployments, backup and housekeeping of your Enterprise Manager environment are documented in the Oracle Enterprise Manager Advanced Configuration Guide. It is imperative that there is a good disaster recovery plan in place for your EM deployment. In this post I want to talk about a customer who failed to do the correct planning and housekeeping for EM and landed in a situation where we the all the OMSes were nearly blown away had we not jumped to help. We recently hit an issue at a customer site where we had a two node OMS setup of the Enterprise Manager and a RAC Database being used as the EM repository. An accidental delete of the OMS oracle home left us with a single node deployment. While we were trying to figure out a possible path to recover the first node, the second node was rebooted under a maintenance window. What followed was a complete site outage as the Admin and managed servers would not start on either of the nodes. In my situation there were - No backups of the Oracle Homes from any node - No OMS Configuration snapshots (created using the “emctl exportconfig oms” command) and the instance home was completely lost on node 1 which also had the Admin Server  We did however have: - A copy of the emkey.ora that I found under the OMS_ORACLE_HOME/ of the second node (NOTE: it is a bad practice to have your emkey present under the OMS Oracle home directory on the same server as the OMS. The backup of the emkey should be maintained on some other server. In this case however it was a savior in my situation since there were no backups - The oms oracle home on the second node but missing a number of files and had a number of changes done to the files in the home. There were a number of attempts to start the server by modifying various files based on the Weblogic server logs to have atleast node up and running but all of them failed. Here is how you can recover from this scenario: Follow these steps: STEP 1: Check status of emkey.ora Check whether the emkey exists is present in the EM repository or not. Run the following command: $OMS_ORACLE_HOME/bin/emctl status emkey If the output is something like this below then you are good to go and the key is present in the repository ./emctl status emkey Oracle Enterprise Manager 11g Release 1 Grid Control Copyright (c) 1996, 2010 Oracle Corporation. All rights reserved. Enter Enterprise Manager Root (SYSMAN) Password : The EMKey is configured properly. Here are the messages that you might see as the emctl status emkey output depending upon whether the EM Admin Server is up and if the key is configured properly: Case1:  AdminServer is up, emkey is proper in CredStore & not in repos. This is same as the output of the command shown above:The EMKey is configured properly Case 2: AdminServer is up, emkey is proper in CredStore & exists in repos:The EMKey is configured properly, but is not secure. Secure the EMKey by running "emctl config emkey -remove_from_repos".Case 3: AdminServer is down or emkey is corrupted in CredStore) & (emkey exists in repos): The EMKey exists in the Management Repository, but is not configured properly or is corrupted in the credential store.Configure the EMKey by running "emctl config emkey -copy_to_credstore".Case 4: (AdminServer is down or emkey is corrupted in CredStore) & (emkey does not exist in repos): The EMKey is not configured properly or is corrupted in the credential store and does not exist in the Management Repository. To correct the problem:1) Get the backed up emkey.ora file.2) Configure the emkey by running "emctl config emkey -copy_to_credstore_from_file". If not the key was not secured properly, we will have to be put in the repository before proceeding. Look at the next step 2 for doing this There may be cases (like mine) where running emctl may give errors like the following: $OMS_ORACLE_HOME/bin/emctl status emkey Exception in thread “Main Thread” java.lang.NoClassDefFoundError: oracle/security/pki/OracleWallet At oracle.sysman.emctl.config.oms.EMKeyCmds.main (EMKeyCmds.java:658) Just move to the next step to put the key back in the repository STEP 2: Put emkey.ora back in the repository Skip this step if your emkey.ora is present in the repository. If not, you need to put the key back in the repository See if you can run the following command (with sample output): $OMS_ORACLE_HOME/bin/emctl config emkey –copy_to_repos Oracle Enterprise Manager 11g Release 1 Grid Control Copyright (c) 1996, 2010 Oracle Corporation. All rights reserved. The EMKey has been copied to the Management Repository. This operation will cause the EMKey to become unsecure. After the required operation has been completed, secure the EMKey by running "emctl config emkey -remove_from_repos". Typically the key is present under $OMS_ORACLE_HOME/sysman/config directory before being removed after the install as a best practice. If you hit any errors while running emctl commands like the one mentioned in step 1, jump to step 3 and we will take care of the emkey.ora in Step 5 STEP 3: Get the port information Check for the existing port information in the emd.properties file under EM_INSTANCE_DIRECTORY (typically gc_inst directory right above the Middleware home where you have deployed em. For eg. /u01/app/oracle/product/gc_inst in case your oms home is /u01/app/oracle/product/Middleware/oms11g) In my case I got the information from the emgc.properties present in the gc_inst on the second node. If you can run emctl you may want to try the following command as well $OMS_ORACLE_HOME/bin/emctl status oms –details Note this information as this will be used in the next step STEP 4: Perform cleanup on Node 1 Note the oracle home of the Weblogic and OMS, get the list of applied patches in the homes (using opatch lsinventory command), take a backup copy of the home just in case we need it and then de-install/remove oracle homes, update inventory and cleanup processes on the first node STEP 5: Perform Software Only Installation of OMS on Node 1 Perform Weblogic 10.3.2 installation exactly under the same location as present in the earlier installation. Perform software only installation of the OMS using the following command. This will not run any configuration assistants and bypass all user interface validations runInstaller –noconfig -validationaswarnings Select the “Additional OMS” option while performing the installation. Provide the same path for OMS and Instance directories like the previous installation Use the port information collected in Step 3 while performing the installation. Once the installation is complete run the allroot.sh script to complete the binary deployment STEP 6: Apply one-off patches At this point you can apply any patches to the OMS Oracle Home previously. You only need to run opatch to install the patch in the home and not required to run the SQLs STEP 7: Copy EM key This step is only required if you were not able to use emctl command to put the emkey back into the EM repository in STEP 2 Copy the emkey.ora file of the old installation you have under $OMS_ORACLE_HOME/sysman/config directory of the newly installed OMS STEP 8: Configure Grid Control Domain Run the following command to configure the EM domain and OMS. Note that you need to use a different GC Domain name than what you used earlier. For example I have used GCDOMAIN11 as the new domain name when my previous domain name was GCDOMAIN $OMS_ORACLE_HOME/bin/omsca new –AS_USERNAME weblogic –EM_DOMAIN_NAME GCDOMAIN11 –NM_USER nodemanager -nostart This command as shown below will prompt for a number of inputs like Admin Server hostname, port, password, etc. Verify if the defaults shown are correct by pressing enter or provide a new value STEP 9: Run Add-ON Configuration Assistant After this step run the following add-on configuration assistant. This was used in my case to configure the virtualization add-on $OMS_ORACLE_HOME/addonca -oui -omsonly -name vt -install gc STEP 10: Start the OMS Now start the OMS using $OMS_ORACLE_HOME/bin/emctl start oms In a multi-node setup like mine you would either have a software load balancer or DNS round robin (using a virtual host name that resolves to one of multiple OMS hostnames) being used for load balancing. Secure the OMS against the SLB or DNS virtual hostname using the following $ OMS_HOME/bin/emctl secure oms -host slb.example.com -secure_port 1159 -slb_port 1159 -slb_console_port 443 STEP 11: Configure the Agent From the $AGENT_ORACLE_HOME/bin run the ./agentca –f At this point you should have your OMS on node 1 fully re-covered. Clean up node 2 and use the normal Additional OMS installation process documented in the official installation guide to add the additional OMS on node 2 Summary It took us nearly a little over two days to completely recover the environment with some other non-EM related issues that hit us along the way as well. In the end a situation like this could have been completely avoided had the proper housekeeping and backup of the Enterprise Manager Deployment been done in the first place. This is going to a topic that we cover in the next post. In the meantime please do refer to the Oracle Enterprise Manager Advanced Configuration Guide for planning your EM installation, backup and housekeeping procedures. This can be found here: http://download.oracle.com/docs/cd/E11857_01/index.htm Thanks This post would not have been possible without Raj Aggarwal, Prasad Chebrolu and Ravikumar Basa who helped to recover the environment and provided all the support we needed

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  • Clustering Basics and Challenges

    - by Karoly Vegh
    For upcoming posts it seemed to be a good idea to dedicate some time for cluster basic concepts and theory. This post misses a lot of details that would explode the articlesize, should you have questions, do not hesitate to ask them in the comments.  The goal here is to get some concepts straight. I can't promise to give you an overall complete definitions of cluster, cluster agent, quorum, voting, fencing, split brain condition, so the following is more of an explanation. Here we go. -------- Cluster, HA, failover, switchover, scalability -------- An attempted definition of a Cluster: A cluster is a set (2+) server nodes dedicated to keep application services alive, communicating through the cluster software/framework with eachother, test and probe health status of servernodes/services and with quorum based decisions and with switchover/failover techniques keep the application services running on them available. That is, should a node that runs a service unexpectedly lose functionality/connection, the other ones would take over the and run the services, so that availability is guaranteed. To provide availability while strictly sticking to a consistent clusterconfiguration is the main goal of a cluster.  At this point we have to add that this defines a HA-cluster, a High-Availability cluster, where the clusternodes are planned to run the services in an active-standby, or failover fashion. An example could be a single instance database. Some applications can be run in a distributed or scalable fashion. In the latter case instances of the application run actively on separate clusternodes serving servicerequests simultaneously. An example for this version could be a webserver that forwards connection requests to many backend servers in a round-robin way. Or a database running in active-active RAC setup.  -------- Cluster arhitecture, interconnect, topologies -------- Now, what is a cluster made of? Servers, right. These servers (the clusternodes) need to communicate. This of course happens over the network, usually over dedicated network interfaces interconnecting all the clusternodes. These connection are called interconnects.How many clusternodes are in a cluster? There are different cluster topologies. The most simple one is a clustered pair topology, involving only two clusternodes:  There are several more topologies, clicking the image above will take you to the relevant documentation. Also, to answer the question Solaris Cluster allows you to run up to 16 servers in a cluster. Where shall these clusternodes be placed? A very important question. The right answer is: It depends on what you plan to achieve with the cluster. Do you plan to avoid only a server outage? Then you can place them right next to eachother in the datacenter. Do you need to avoid DataCenter outage? In that case of course you should place them at least in different fire zones. Or in two geographically distant DataCenters to avoid disasters like floods, large-scale fires or power outages. We call this a stretched- or campus cluster, the clusternodes being several kilometers away from eachother. To cover really large distances, you probably need to move to a GeoCluster, which is a different kind of animal.  What is a geocluster? A Geographic Cluster in Solaris Cluster terms is actually a metacluster between two, separate (locally-HA) clusters.  -------- Cluster resource types, agents, resources, resource groups -------- So how does the cluster manage my applications? The cluster needs to start, stop and probe your applications. If you application runs, the cluster needs to check regularly if the application state is healthy, does it respond over the network, does it have all the processes running, etc. This is called probing. If the cluster deems the application is in a faulty state, then it can try to restart it locally or decide to switch (stop on node A, start on node B) the service. Starting, stopping and probing are the three actions that a cluster agent does. There are many different kinds of agents included in Solaris Cluster, but you can build your own too. Examples are an agent that manages (mounts, moves) ZFS filesystems, or the Oracle DB HA agent that cares about the database, or an agent that moves a floating IP address between nodes. There are lots of other agents included for Apache, Tomcat, MySQL, Oracle DB, Oracle Weblogic, Zones, LDoms, NFS, DNS, etc.We also need to clarify the difference between a cluster resource and the cluster resource group.A cluster resource is something that is managed by a cluster agent. Cluster resource types are included in Solaris cluster (see above, e.g. HAStoragePlus, HA-Oracle, LogicalHost). You can group cluster resources into cluster resourcegroups, and switch these groups together from one node to another. To stick to the example above, to move an Oracle DB service from one node to another, you have to switch the group between nodes, and the agents of the cluster resources in the group will do the following:  On node A Shut down the DB Unconfigure the LogicalHost IP the DB Listener listens on unmount the filesystem   Then, on node B: mount the FS configure the IP  startup the DB -------- Voting, Quorum, Split Brain Condition, Fencing, Amnesia -------- How do the clusternodes agree upon their action? How do they decide which node runs what services? Another important question. Running a cluster is a strictly democratic thing.Every node has votes, and you need the majority of votes to have the deciding power. Now, this is usually no problem, clusternodes think very much all alike. Still, every action needs to be governed upon in a productive system, and has to be agreed upon. Agreeing is easy as long as the clusternodes all behave and talk to eachother over the interconnect. But if the interconnect is gone/down, this all gets tricky and confusing. Clusternodes think like this: "My job is to run these services. The other node does not answer my interconnect communication, it must be down. I'd better take control and run the services!". The problem is, as I have already mentioned, clusternodes very much think alike. If the interconnect is gone, they all assume the other node is down, and they all want to mount the data backend, enable the IP and run the database. Double IPs, double mounts, double DB instances - now that is trouble. Also, in a 2-node cluster they both have only 50% of the votes, that is, they themselves alone are not allowed to run a cluster.  This is where you need a quorum device. According to Wikipedia, the "requirement for a quorum is protection against totally unrepresentative action in the name of the body by an unduly small number of persons.". They need additional votes to run the cluster. For this requirement a 2-node cluster needs a quorum device or a quorum server. If the interconnect is gone, (this is what we call a split brain condition) both nodes start to race and try to reserve the quorum device to themselves. They do this, because the quorum device bears an additional vote, that could ensure majority (50% +1). The one that manages to lock the quorum device (e.g. if it's an FC LUN, it SCSI reserves it) wins the right to build/run a cluster, the other one - realizing he was late - panics/reboots to ensure the cluster config stays consistent.  Losing the interconnect isn't only endangering the availability of services, but it also endangers the cluster configuration consistence. Just imagine node A being down and during that the cluster configuration changes. Now node B goes down, and node A comes up. It isn't uptodate about the cluster configuration's changes so it will refuse to start a cluster, since that would lead to cluster amnesia, that is the cluster had some changes, but now runs with an older cluster configuration repository state, that is it's like it forgot about the changes.  Also, to ensure application data consistence, the clusternode that wins the race makes sure that a server that isn't part of or can't currently join the cluster can access the devices. This procedure is called fencing. This usually happens to storage LUNs via SCSI reservation.  Now, another important question: Where do I place the quorum disk?  Imagine having two sites, two separate datacenters, one in the north of the city and the other one in the south part of it. You run a stretched cluster in the clustered pair topology. Where do you place the quorum disk/server? If you put it into the north DC, and that gets hit by a meteor, you lose one clusternode, which isn't a problem, but you also lose your quorum, and the south clusternode can't keep the cluster running lacking the votes. This problem can't be solved with two sites and a campus cluster. You will need a third site to either place the quorum server to, or a third clusternode. Otherwise, lacking majority, if you lose the site that had your quorum, you lose the cluster. Okay, we covered the very basics. We haven't talked about virtualization support, CCR, ClusterFilesystems, DID devices, affinities, storage-replication, management tools, upgrade procedures - should those be interesting for you, let me know in the comments, along with any other questions. Given enough demand I'd be glad to write a followup post too. Now I really want to move on to the second part in the series: ClusterInstallation.  Oh, as for additional source of information, I recommend the documentation: http://docs.oracle.com/cd/E23623_01/index.html, and the OTN Oracle Solaris Cluster site: http://www.oracle.com/technetwork/server-storage/solaris-cluster/index.html

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  • top tweets WebLogic Partner Community – September 2012

    - by JuergenKress
    Send your tweets @wlscommunity #WebLogicCommunity and follow us at http://twitter.com/wlscommunity Oracle Exalogic? VIDEO: Oracle Public Cloud Built on Exalogic!, http://www.youtube.com/watch?v=UGzjDloUw_s&feature=plcp … oracleopenworld #NetBeans Community Day at #JavaOne http://ow.ly/dunFL Oracle Cloud Zone Building an enterprise Cloud? Have Oracle show you the RIGHT way to plan, deploy and monitor enterprise clouds.... http://fb.me/286978S4S OTNArchBeat? Oracle Exalogic X2-2 walk-through with Brad Cameron | @jvzoggel http://pub.vitrue.com/yE7d Oracle Technet? Stash your cash. September OTN Member Offers - discounts on books, more | OTN Blog http://pub.vitrue.com/yTr9 C2B2 Consulting? C2B2 is Speaking at @UKOUG App Server Middleware SIG Meeting 'Real Life #WebLogic Performance Tuning' http://www.c2b2.co.uk/ukoug_application_server_middleware_sig_meeting … @wlscommunity JAXenter.com? From yesterday, @smeyen offers his views on the next generation #Java - do you agree? http://jaxenter.com/next-gen-java-we-don-t-need-another-revolutionary-44334.html … Markus Eisele? Awesome: professor from ITU uploads her programming lectures to #YouTube. Programming classes without having to pay! http://bit.ly/UtkJIW Adam Bien? Real World Java EE 6 Patterns--Rethinking Best Practices Reloaded: A completely rewritten, second, iteration of ... http://bit.ly/Qc3xTH Markus Eisele [blog] #PrimeFaces Push with #Atmosphere on #GlassFish 3.1.2.2 http://goo.gl/fb/jPDzA Lucas Jellema? Forms community event at Oracle Open World - Tuesday, 2nd Oct with the BIG names in Forms - see: http://oracleformsinfo.wordpress.com/2012/08/28/ask-the-product-manager-join-us-at-the-oracle-forms-community-event-at-openworld-2012/ … WebLogic Community WebLogic & Coherence & Cloud presentations for customer meetings http://wp.me/p1LMIb-kw Adam Bien? New Book: Rethinking Best Practices with Java EE 6 is out: http://realworldpatterns.com (fully rewritten, re-edited and reformatted) WebLogic Community? Want to become and WebLogic 12c expert? free WebLogic 12c partner bootcamps &ndash;new locations: Madrid Spain http://wp.me/p1LMIb-kK WebLogic Community? Promote Your WebLogic events at http://oracle.com http://wp.me/p1LMIb-ku OracleBlogs Gartner review Oracle ADF http://ow.ly/1mgkCV Simon Haslam Next #ukoug App Server & MW SIG on 10 Oct: http://www.ukoug.org/events/ukoug-application-server-and-middleware-sig-meeting8/ … Hopefully plenty of good admin stuff! Michel Schildmeijer My book "WebLogic 12c; First look" has been reviewed again..see http://www.amazon.com/review/R28L6E3CC9RPMK/ref=cm_cr_pr_perm?ie=UTF8&ASIN=1849687188&linkCode=&nodeID=&tag= … … Markus Eisele? #Weblogic 11g Interactive Quick Reference Map: http://bit.ly/Ugsq52 #wls #oracle #reference /via @TonyvanEsch Marc? Playing with #syslog server and #weblogic. Is there a simple how-to to configure all the logging from #WLS to #syslog-ng WebLogic Community Java update http://wp.me/p1LMIb-kI WebLogic Community top tweets WebLogic Partner Community &ndash; August 2012 http://wp.me/p1LMIb-kA Andrejus Baranovskis? Oracle University Training: ADF/WebCenter 11g Development in Depth | Andrejus Baranovskis http://fb.me/253ZTS2zp OracleSupport_WLS? How neat is a free tool that allows you to inspect and debug traffic from virtually any application? http://pub.vitrue.com/vXdP WebLogic Community WebLogic Partner Community Newsletter August 2012 http://wp.me/p1LMIb-kn OTNArchBeat Integrating Coherence & Java EE 6 Applications using ActiveCache | Ricardo Ferreira http://pub.vitrue.com/rwGg Adam Bien? Thanks for attending the #javaee #techtalk "Enterprise Java 2.0" I pushed the project and slides to: http://kenai.com/projects/javaee-patterns/sources/hg/show/hacks/techtalk2012?rev=429 … JDeveloper & ADF? How to service-enable Oracle ADF Business Components http://ht.ly/1mcfsZ OracleSupport_WLS? Do you know that #WebLogic 12.1.1.0 is certified for production with JDK 7? @ http://pub.vitrue.com/35Kn Andreas Koop? My latest upload : WebLogic Administration und Deployment mit WLST on @slideshare http://www.slideshare.net/multikoop/weblogic-administration-und-deployment-mit-wlst … OTNArchBeat? Demo for OPN: Oracle Coherence Management with EM Cloud Control 12c http://pub.vitrue.com/reoo Markus Eisele? [blog] Java Champions at #JavaOne 2012 http://goo.gl/fb/Ibb6N #javachampion OracleBlogs Buy This Book!: Oracle Exalogic Elastic Cloud Handbook http://ow.ly/1malM1 WebLogic Community? Coherence Management with EM Cloud Control 12c &ndash;demo for partners http://wp.me/p1LMIb-iE Arun Gupta? Learn how Java can help Internet of Things at Java Embedded at JavaOne: http://bit.ly/POBizh WebLogic Community? Follow WebLogicCommunity on facebook http://www.facebook.com/WebLogicCommunity … #WebLogicCommunity WebLogic Community? Building Java EE in the Cloud–Webcast August 30th 2012 https://weblogiccommunity.wordpress.com/2012/08/27/building-java-ee-in-the-cloudwebcast-august-30th-2012/ … #WebLogicCommunity #Java #oracle #opn WebLogic Community? Call for WebLogic Community newsletter content. Please send @wlscommunity #WebLogicCommunity OracleSupport_WLS? The #weblogic wasp: lots of tips, Q&A and examples http://pub.vitrue.com/v0bw Frank Nimphius? Free ADF Best Practices Webinar by Andrejus Baranovskis for ODTUG (18, 2012 12:00 PM - 1:00 PM EDT) http://bit.ly/OiSWbi ADF Code Corner Webcast- Friday September 14, 8:30 AM - 9.00 AM (CET) - ADF as a basis of Fusion Apps (in English) - with Chris Muir: http://bit.ly/OiQVMb Oracle WebLogic? New blog post: Developing Custom User Principal Object http://pub.vitrue.com/ltam JAX London? Just 4days left to get in on the early bird special, don't miss out!! http://jaxlondon.com/ #JAXLondon #Java WebLogic Community Building Java EE in the Cloud&ndash;Webcast August 30th 2012 http://wp.me/p1LMIb-kE Andrejus Baranovskis? New Record Master-Detail Validation and ADF BC Groovy Use Case http://fb.me/1D2NEIl8g JAX London? Don't miss out!!! Only 6 days left to make use of our early bird offer #JAXLondon #JAVA http://jaxlondon.com/ Michel Schildmeijer Qualogy launches Proof of Concept Center for Oracle Fusion Applications http://www.qualogy.com/qualogy-launches-proof-of-concept-center-for-oracle-fusion-applications/ … via @Qualogy_news OracleSupport_WLS ?Need to troubleshoot redeployment failure in #Weblogic? Check this http://pub.vitrue.com/auhz OracleEnterpriseMgr? Blog : Managing Oracle #Exalogic Elastic #Cloud with Oracle Enterprise Manager Ops Center http://ow.ly/dd40e #em12c ODTUG? Want free advanced technical ADF training?Join @andrejusb for an @odtug webinar! check out his blog for more info http://bit.ly/SvKJDq chriscmuir Oracle Open World 2012 and ADF EMG http://zite.to/QyusZE OTNArchBeat? Boost your infrastructure with Coherence into the Cloud | Nino Guarnacci http://pub.vitrue.com/v3aJ WebLogic Community? Presentations & Training material OFM Summer Camps & Impressions & Feedback http://wp.me/p1LMIb-ks Arun Gupta? Java EE 6 pocket guide by O'Reilly available for pre-order from Amazon: http://amzn.to/O6YyoP and B&N: http://bit.ly/NjWLk1 OTNArchBeat Joining the Existing Cluster in Coherence | A. Fuat Sungur http://pub.vitrue.com/6uLh Andrejus Baranovskis Sample Application for Switching Application Module Data Sources http://fb.me/1PSURUzch OTNArchBeat Oracle WebLogic DevCast: Building Java EE in the Cloud - August 30 - 10am PT/ 1pm ET http://pub.vitrue.com/xXg0 OTNArchBeat? GlassFish Community Event at #javaone - Sept 30 -11am – 1pm -Moscone South. Register Now! http://pub.vitrue.com/p2f5 OracleSupport_WLS? Connecting To HTTPS Site Using Simple Java Program When Using Proxy http://pub.vitrue.com/stVv Michel Schildmeijer? Before you go to #OOW take the sneak preview of WebLogic 12c with you: http://www.qualogy.com/ga-nog-niet-naar-oow-en-neem-mee-weblogic-12c/ … via @Qualogy_news Simon Haslam? Even more great ADF content at #oow2012 this year including a packed ADF EMG day on Sunday: https://blogs.oracle.com/onesizedoesntfitall/entry/the_year_after_the_year … OracleBlogs ExaLogic trainings for partners http://ow.ly/1m6a5D Robin? First presentation on DOAG conference (thanks to @Steffen2042) "Weblogic Server for Dummies". Now I´m pretty excited :) http://www.doag.org/de/events/konferenzen/doag-2012.html … Markus Eisele There is a #facebook page for the upcoming #Java Mission Control (JRockit Mission Control for #Hotspot)! ttp://on.fb.me/Q31oyA Adam Bien? The almost free #javaee workshop in Rapperswil has only 60 registrations so far: http://www.adam-bien.com/roller/abien/entry/enterprise_java_2_0_swiss … What's the problem? :-) WebLogic Community ExaLogic trainings for partners http://wp.me/p1LMIb-iC OracleBlogs How to install Oracle Weblogic Server using Generic Package installer? http://ow.ly/1m5ms7 OracleSupport_WLS #Weblogic Server new blog post - Developing Custom User Principal Object http://pub.vitrue.com/ltam OracleBlogs? Architects and Architecture at JavaOne 2012 http://ow.ly/1m4oS5 WebLogic Community Are you WebLogic or Application Grid Specialized? Do you get Recognized? Get your plaque https://weblogiccommunity.wordpress.com/2012/08/21/plaques-weblogic-application-grid-specialization/ … #WebLogicCommunity #opn WebLogic Community? Plaques WebLogic & Application Grid Specialization http://wp.me/p1LMIb-iA JDeveloper & ADF? First Steps With Oracle Application Testing Suite: Recording a Test With OpenScript http://dlvr.it/222npy 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. Blog Twitter LinkedIn Mix Forum Wiki Technorati Tags: twitter,WebLogic,WebLogic Community,Oracle,OPN,Jürgen Kress

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  • top tweets WebLogic Partner Community – June 2012

    - by JuergenKress
    Send your tweets @wlscommunity #WebLogicCommunity and follow us at http://twitter.com/wlscommunity OTNArchBeat? Free Virtual Developer Day: Oracle ADF and Oracle Fusion Middleware Development http://bit.ly/MxuNAg AMIS, Oracle & Java? Checklist veearts nu ook op iPad. @amis_services Mobile integratie met Oracle Fusion Middleware http://dld.bz/buwsM #OSB #SOA WhitehorsesWhiteblog: Troubleshoot JVM crashes of Weblogic: CompilerThread (http://bit.ly/KcGzZK) Jon petter hjulstad E-vita is now Apps Grid Specialized! ODTUG Fusion Middleware Sessions RT @OTNArchBeat: ODTUG Kscope12 - June 24-28 - San Antonio, TX http://bit.ly/LlWkNV OTNArchBeat? Free Event: Modern #Java Development, in/outside the Enterprise - May 30 - Redwood Shores, CA http://bit.ly/LfB79a ADF Community DE? Oracle Advanced ADF 11g Partner Workshop Düsseldorf /Germany (english) June 26-29, click here to see Nicolas Lorain? Best Practices for #JavaFX 2 Enterprise Applications (Part Two) http://buff.ly/Lk1DBn by Jim Weaver shay shmeltzer? #Oracle Developers in #Israel - don't miss the free #ADF workshop July 2nd - get hands-on with Oracle ADF -here OTNArchBeat? Java at JAXconf | Tori Wieldt http://bit.ly/LdoLS2 Anand Akela? #Oracle Customers and Partners – Get your free pass to @CloudExpo in New York, June 11 to 14, http://goo.gl/RpYFT <- Stop by booth #511 OracleSupport_WLS? Did you know that since 3/15/12 #WebLogic Server 12.1.1.0 is certified for production with JDK 7? http://bit.ly/IYJE0L Sharat? Highly useful #JavaFX best practices blog by @JavaFXpert More details here ADF EMG How to set up a productive ADF Dev Env - discussion started by @baigsorcl. Click here to Read and comment. OracleSupport_WLS Upcoming #webcast: Diagnosing #weblogic performance issues through #java thread dumps http://bit.ly/M4O9qF My Oracle Support? New to Oracle Support? - Webcast on Support Basics webcast May 22 10:30 Central Europe. Register @ http://bit.ly/J8o0WG Mohamad Afshar? Cloud Expo – Oracle Customers and Partners – get your free pass to Cloud Expo in New York, June 11 to 14, http://goo.gl/RpYFT OTNArchBeat Oracle VM 3.1 is here | @Ronenkofman http://bit.ly/JriWTq Oracle Exalogic? RT @D0uglasPhillips: ExalogicTV New Video Introducing Oracle Secure Global Desktop for #Exalogic!! http://bit.ly/nwkrCu OracleBlogs? Java EE6 and WebLogic YouTube video channels http://ow.ly/1jVcYJ Oracle WebLogic RT @aleftik: Excited to spend some time today playing around with the WebSockets SDK http://bit.ly/NoTtri WebLogic Community Java EE6 and WebLogic YouTube video channels http://wp.me/p1LMIb-h0 OracleSupport_WLS New tutorial! How to use the #JMS #API to create a message producer with #GlassFish and #NetBeans http://bit.ly/Juqjn JDeveloper & ADF? Tip when installing JDeveloper 11.1.2.2.0 version http://dlvr.it/1b48s1 WebLogic Community Middleware Oracle Excellence Awards 2012 – HAPPY NEW YEAR! Click here to read WebLogicCommunity #opn #oracle#Specialization #opnaward Steven Davelaar? Improve performance of your ADF app using lazy, on-demand querying of detail view objects: Click here OracleBlogs? Middleware Oracle Excellence Awards 2012 & HAPPY NEW YEAR! http://ow.ly/1kahzZ OracleSupport_WLS Upgrading from #weblogic 9.2.x to 10.3.x? http://bit.ly/Kqzl9N AMIS, Oracle & Java “@JDeveloper: Logout from an ADF application http://dlvr.it/1fQBnm” WebLogic Community UK OUG call for papers–your middleware success! Click here #UKOUG #soacommunity #OPN Whitehorses Whiteblog: Enterprise Manager: Manage your Fusion Middleware logfiles (http://bit.ly/KQlZkR) WebLogic Community? @Jphjulstad HI Jon, should we send Pizza when you go in production with your WebLogic 12c project? 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  • Partitioned Repository for WebCenter Content using Oracle Database 11g

    - by Adao Junior
    One of the biggest challenges for content management solutions is related to the storage management due the high volumes of the unstoppable growing of information. Even if you have storage appliances and a lot of terabytes, thinks like backup, compression, deduplication, storage relocation, encryption, availability could be a nightmare. One standard option that you have with the Oracle WebCenter Content is to store data to the database. And the Oracle Database allows you leverage features like compression, deduplication, encryption and seamless backup. But with a huge volume, the challenge is passed to the DBA to keep the WebCenter Content Database up and running. One solution is the use of DB partitions for your content repository, but what are the implications of this? Can I fit this with my business requirements? Well, yes. It’s up to you how you will manage that, you just need a good plan. During you “storage brainstorm plan” take in your mind what you need, such as storage petabytes of documents? You need everything on-line? There’s a way to logically separate the “good content” from the “legacy content”? The first thing that comes to my mind is to use the creation date of the document, but you need to remember that this document could receive a lot of revisions and maybe you can consider the revision creation date. Your plan can have also complex rules like per Document Type or per a custom metadata like department or an hybrid per date, per DocType and an specific virtual folder. Extrapolation the use, you can have your repository distributed in different servers, different disks, different disk types (Such as ssds, sas, sata, tape,…), separated accordingly your business requirements, separating the “hot” content from the legacy and easily matching your compliance requirements. If you think to use by revision, the simple way is to consider the dId, that is the sequential unique id for every content created using the WebCenter Content or the dLastModified that is the date field of the FileStorage table that contains the date of inclusion of the content to the DB Table using SecureFiles. Using the scenario of partitioned repository using an hierarchical separation by date, we will transform the FileStorage table in an partitioned table using  “Partition by Range” of the dLastModified column (You can use the dId or a join with other tables for other metadata such as dDocType, Security, etc…). The test scenario bellow covers: Previous existent data on the JDBC Storage to be migrated to the new partitioned JDBC Storage Partition by Date Automatically generation of new partitions based on a pre-defined interval (Available only with Oracle Database 11g+) Deduplication and Compression for legacy data Oracle WebCenter Content 11g PS5 (Could present some customizations that do not affect the test scenario) For the test case you need some data stored using JDBC Storage to be the “legacy” data. If you do not have done before, just create an Storage rule pointed to the JDBC Storage: Enable the metadata StorageRule in the UI and upload some documents using this rule. For this test case you can run using the schema owner or an dba user. We will use the schema owner TESTS_OCS. I can’t forgot to tell that this is just a test and you should do a proper backup of your environment. When you use the schema owner, you need some privileges, using the dba user grant the privileges needed: REM Grant privileges required for online redefinition. GRANT EXECUTE ON DBMS_REDEFINITION TO TESTS_OCS; GRANT ALTER ANY TABLE TO TESTS_OCS; GRANT DROP ANY TABLE TO TESTS_OCS; GRANT LOCK ANY TABLE TO TESTS_OCS; GRANT CREATE ANY TABLE TO TESTS_OCS; GRANT SELECT ANY TABLE TO TESTS_OCS; REM Privileges required to perform cloning of dependent objects. GRANT CREATE ANY TRIGGER TO TESTS_OCS; GRANT CREATE ANY INDEX TO TESTS_OCS; In our test scenario we will separate the content as Legacy, Day1, Day2, Day3 and Future. This last one will partitioned automatically using 3 tablespaces in a round robin mode. In a real scenario the partition rule could be per month, per year or any rule that you choose. Table spaces for the test scenario: CREATE TABLESPACE TESTS_OCS_PART_LEGACY DATAFILE 'tests_ocs_part_legacy.dat' SIZE 500K AUTOEXTEND ON NEXT 500K MAXSIZE UNLIMITED; CREATE TABLESPACE TESTS_OCS_PART_DAY1 DATAFILE 'tests_ocs_part_day1.dat' SIZE 500K AUTOEXTEND ON NEXT 500K MAXSIZE UNLIMITED; CREATE TABLESPACE TESTS_OCS_PART_DAY2 DATAFILE 'tests_ocs_part_day2.dat' SIZE 500K AUTOEXTEND ON NEXT 500K MAXSIZE UNLIMITED; CREATE TABLESPACE TESTS_OCS_PART_DAY3 DATAFILE 'tests_ocs_part_day3.dat' SIZE 500K AUTOEXTEND ON NEXT 500K MAXSIZE UNLIMITED; CREATE TABLESPACE TESTS_OCS_PART_ROUND_ROBIN_A 'tests_ocs_part_round_robin_a.dat' DATAFILE SIZE 500K AUTOEXTEND ON NEXT 500K MAXSIZE UNLIMITED; CREATE TABLESPACE TESTS_OCS_PART_ROUND_ROBIN_B 'tests_ocs_part_round_robin_b.dat' DATAFILE SIZE 500K AUTOEXTEND ON NEXT 500K MAXSIZE UNLIMITED; CREATE TABLESPACE TESTS_OCS_PART_ROUND_ROBIN_C 'tests_ocs_part_round_robin_c.dat' DATAFILE SIZE 500K AUTOEXTEND ON NEXT 500K MAXSIZE UNLIMITED; Before start, gather optimizer statistics on the actual FileStorage table: EXEC DBMS_STATS.GATHER_TABLE_STATS(USER, 'FileStorage', cascade => TRUE); Now check if is possible execute the redefinition process: EXEC DBMS_REDEFINITION.CAN_REDEF_TABLE('TESTS_OCS', 'FileStorage',DBMS_REDEFINITION.CONS_USE_PK); If no errors messages, you are good to go. Create a Partitioned Interim FileStorage table. You need to create a new table with the partition information to act as an interim table: CREATE TABLE FILESTORAGE_Part ( DID NUMBER(*,0) NOT NULL ENABLE, DRENDITIONID VARCHAR2(30 CHAR) NOT NULL ENABLE, DLASTMODIFIED TIMESTAMP (6), DFILESIZE NUMBER(*,0), DISDELETED VARCHAR2(1 CHAR), BFILEDATA BLOB ) LOB (BFILEDATA) STORE AS SECUREFILE ( ENABLE STORAGE IN ROW NOCACHE LOGGING KEEP_DUPLICATES NOCOMPRESS ) PARTITION BY RANGE (DLASTMODIFIED) INTERVAL (NUMTODSINTERVAL(1,'DAY')) STORE IN (TESTS_OCS_PART_ROUND_ROBIN_A, TESTS_OCS_PART_ROUND_ROBIN_B, TESTS_OCS_PART_ROUND_ROBIN_C) ( PARTITION FILESTORAGE_PART_LEGACY VALUES LESS THAN (TO_DATE('05-APR-2012 12.00.00 AM', 'DD-MON-YYYY HH.MI.SS AM')) TABLESPACE TESTS_OCS_PART_LEGACY LOB (BFILEDATA) STORE AS SECUREFILE ( TABLESPACE TESTS_OCS_PART_LEGACY RETENTION NONE DEDUPLICATE COMPRESS HIGH ), PARTITION FILESTORAGE_PART_DAY1 VALUES LESS THAN (TO_DATE('06-APR-2012 07.25.00 PM', 'DD-MON-YYYY HH.MI.SS AM')) TABLESPACE TESTS_OCS_PART_DAY1 LOB (BFILEDATA) STORE AS SECUREFILE ( TABLESPACE TESTS_OCS_PART_DAY1 RETENTION AUTO KEEP_DUPLICATES COMPRESS ), PARTITION FILESTORAGE_PART_DAY2 VALUES LESS THAN (TO_DATE('06-APR-2012 07.55.00 PM', 'DD-MON-YYYY HH.MI.SS AM')) TABLESPACE TESTS_OCS_PART_DAY2 LOB (BFILEDATA) STORE AS SECUREFILE ( TABLESPACE TESTS_OCS_PART_DAY2 RETENTION AUTO KEEP_DUPLICATES NOCOMPRESS ), PARTITION FILESTORAGE_PART_DAY3 VALUES LESS THAN (TO_DATE('06-APR-2012 07.58.00 PM', 'DD-MON-YYYY HH.MI.SS AM')) TABLESPACE TESTS_OCS_PART_DAY3 LOB (BFILEDATA) STORE AS SECUREFILE ( TABLESPACE TESTS_OCS_PART_DAY3 RETENTION AUTO KEEP_DUPLICATES NOCOMPRESS ) ); After the creation you should see your partitions defined. Note that only the fixed range partitions have been created, none of the interval partition have been created. Start the redefinition process: BEGIN DBMS_REDEFINITION.START_REDEF_TABLE( uname => 'TESTS_OCS' ,orig_table => 'FileStorage' ,int_table => 'FileStorage_PART' ,col_mapping => NULL ,options_flag => DBMS_REDEFINITION.CONS_USE_PK ); END; This operation can take some time to complete, depending how many contents that you have and on the size of the table. Using the DBA user you can check the progress with this command: SELECT * FROM v$sesstat WHERE sid = 1; Copy dependent objects: DECLARE redefinition_errors PLS_INTEGER := 0; BEGIN DBMS_REDEFINITION.COPY_TABLE_DEPENDENTS( uname => 'TESTS_OCS' ,orig_table => 'FileStorage' ,int_table => 'FileStorage_PART' ,copy_indexes => DBMS_REDEFINITION.CONS_ORIG_PARAMS ,copy_triggers => TRUE ,copy_constraints => TRUE ,copy_privileges => TRUE ,ignore_errors => TRUE ,num_errors => redefinition_errors ,copy_statistics => FALSE ,copy_mvlog => FALSE ); IF (redefinition_errors > 0) THEN DBMS_OUTPUT.PUT_LINE('>>> FileStorage to FileStorage_PART temp copy Errors: ' || TO_CHAR(redefinition_errors)); END IF; END; With the DBA user, verify that there's no errors: SELECT object_name, base_table_name, ddl_txt FROM DBA_REDEFINITION_ERRORS; *Note that will show 2 lines related to the constrains, this is expected. Synchronize the interim table FileStorage_PART: BEGIN DBMS_REDEFINITION.SYNC_INTERIM_TABLE( uname => 'TESTS_OCS', orig_table => 'FileStorage', int_table => 'FileStorage_PART'); END; Gather statistics on the new table: EXEC DBMS_STATS.GATHER_TABLE_STATS(USER, 'FileStorage_PART', cascade => TRUE); Complete the redefinition: BEGIN DBMS_REDEFINITION.FINISH_REDEF_TABLE( uname => 'TESTS_OCS', orig_table => 'FileStorage', int_table => 'FileStorage_PART'); END; During the execution the FileStorage table is locked in exclusive mode until finish the operation. After the last command the FileStorage table is partitioned. If you have contents out of the range partition, you should see the new partitions created automatically, not generating an error if you “forgot” to create all the future ranges. You will see something like: You now can drop the FileStorage_PART table: border-bottom-width: 1px; border-bottom-style: solid; text-align: left; border-left-color: silver; border-left-width: 1px; border-left-style: solid; padding-bottom: 4px; line-height: 12pt; background-color: #f4f4f4; margin-top: 20px; margin-right: 0px; margin-bottom: 10px; margin-left: 0px; padding-left: 4px; width: 97.5%; padding-right: 4px; font-family: 'Courier New', Courier, monospace; direction: ltr; max-height: 200px; font-size: 8pt; overflow-x: auto; overflow-y: auto; border-top-color: silver; border-top-width: 1px; border-top-style: solid; cursor: text; border-right-color: silver; border-right-width: 1px; border-right-style: solid; padding-top: 4px; " id="codeSnippetWrapper"> DROP TABLE FileStorage_PART PURGE; To check the FileStorage table is valid and is partitioned, use the command: SELECT num_rows,partitioned FROM user_tables WHERE table_name = 'FILESTORAGE'; You can list the contents of the FileStorage table in a specific partition, per example: SELECT * FROM FileStorage PARTITION (FILESTORAGE_PART_LEGACY) Some useful commands that you can use to check the partitions, note that you need to run using a DBA user: SELECT * FROM DBA_TAB_PARTITIONS WHERE table_name = 'FILESTORAGE';   SELECT * FROM DBA_TABLESPACES WHERE tablespace_name like 'TESTS_OCS%'; After the redefinition process complete you have a new FileStorage table storing all content that has the Storage rule pointed to the JDBC Storage and partitioned using the rule set during the creation of the temporary interim FileStorage_PART table. At this point you can test the WebCenter Content downloading the documents (Original and Renditions). Note that the content could be already in the cache area, take a look in the weblayout directory to see if a file with the same id is there, then click on the web rendition of your test file and see if have created the file and you can open, this means that is all working. The redefinition process can be repeated many times, this allow you test what the better layout, over and over again. Now some interesting maintenance actions related to the partitions: Make an tablespace read only. No issues viewing, the WebCenter Content do not alter the revisions When try to delete an content that is part of an read only tablespace, an error will occurs and the document will not be deleted The only way to prevent errors today is creating an custom component that checks the partitions and if you have an document in an “Read Only” repository, execute the deletion process of the metadata and mark the document to be deleted on the next db maintenance, like a new redefinition. Take an tablespace off-line for archiving purposes or any other reason. When you try open an document that is included in this tablespace will receive an error that was unable to retrieve the content, but the others online tablespaces are not affected. Same behavior when deleting documents. Again, an custom component is the solution. If you have an document “out of range”, the component can show an message that the repository for that document is offline. This can be extended to a option to the user to request to put online again. Moving some legacy content to an offline repository (table) using the Exchange option to move the content from one partition to a empty nonpartitioned table like FileStorage_LEGACY. Note that this option will remove the registers from the FileStorage and will not be able to open the stored content. You always need to keep in mind the indexes and constrains. An redefinition separating the original content (vault) from the renditions and separate by date ate the same time. This could be an option for DAM environments that want to have an special place for the renditions and put the original files in a storage with less performance. The process will be the same, you just need to change the script of the interim table to use composite partitioning. Will be something like: CREATE TABLE FILESTORAGE_RenditionPart ( DID NUMBER(*,0) NOT NULL ENABLE, DRENDITIONID VARCHAR2(30 CHAR) NOT NULL ENABLE, DLASTMODIFIED TIMESTAMP (6), DFILESIZE NUMBER(*,0), DISDELETED VARCHAR2(1 CHAR), BFILEDATA BLOB ) LOB (BFILEDATA) STORE AS SECUREFILE ( ENABLE STORAGE IN ROW NOCACHE LOGGING KEEP_DUPLICATES NOCOMPRESS ) PARTITION BY LIST (DRENDITIONID) SUBPARTITION BY RANGE (DLASTMODIFIED) ( PARTITION Vault VALUES ('primaryFile') ( SUBPARTITION FILESTORAGE_VAULT_LEGACY VALUES LESS THAN (TO_DATE('05-APR-2012 12.00.00 AM', 'DD-MON-YYYY HH.MI.SS AM')) LOB (BFILEDATA) STORE AS SECUREFILE , SUBPARTITION FILESTORAGE_VAULT_DAY1 VALUES LESS THAN (TO_DATE('06-APR-2012 07.25.00 PM', 'DD-MON-YYYY HH.MI.SS AM')) LOB (BFILEDATA) STORE AS SECUREFILE , SUBPARTITION FILESTORAGE_VAULT_DAY2 VALUES LESS THAN (TO_DATE('06-APR-2012 07.55.00 PM', 'DD-MON-YYYY HH.MI.SS AM')) LOB (BFILEDATA) STORE AS SECUREFILE , SUBPARTITION FILESTORAGE_VAULT_DAY3 VALUES LESS THAN (TO_DATE('06-APR-2012 07.58.00 PM', 'DD-MON-YYYY HH.MI.SS AM')) LOB (BFILEDATA) STORE AS SECUREFILE , SUBPARTITION FILESTORAGE_VAULT_FUTURE VALUES LESS THAN (MAXVALUE) ) ,PARTITION WebLayout VALUES ('webViewableFile') ( SUBPARTITION FILESTORAGE_WEBLAYOUT_LEGACY VALUES LESS THAN (TO_DATE('05-APR-2012 12.00.00 AM', 'DD-MON-YYYY HH.MI.SS AM')) LOB (BFILEDATA) STORE AS SECUREFILE , SUBPARTITION FILESTORAGE_WEBLAYOUT_DAY1 VALUES LESS THAN (TO_DATE('06-APR-2012 07.25.00 PM', 'DD-MON-YYYY HH.MI.SS AM')) LOB (BFILEDATA) STORE AS SECUREFILE , SUBPARTITION FILESTORAGE_WEBLAYOUT_DAY2 VALUES LESS THAN (TO_DATE('06-APR-2012 07.55.00 PM', 'DD-MON-YYYY HH.MI.SS AM')) LOB (BFILEDATA) STORE AS SECUREFILE , SUBPARTITION FILESTORAGE_WEBLAYOUT_DAY3 VALUES LESS THAN (TO_DATE('06-APR-2012 07.58.00 PM', 'DD-MON-YYYY HH.MI.SS AM')) LOB (BFILEDATA) STORE AS SECUREFILE , SUBPARTITION FILESTORAGE_WEBLAYOUT_FUTURE VALUES LESS THAN (MAXVALUE) ) ,PARTITION Special VALUES ('Special') ( SUBPARTITION FILESTORAGE_SPECIAL_LEGACY VALUES LESS THAN (TO_DATE('05-APR-2012 12.00.00 AM', 'DD-MON-YYYY HH.MI.SS AM')) LOB (BFILEDATA) STORE AS SECUREFILE , SUBPARTITION FILESTORAGE_SPECIAL_DAY1 VALUES LESS THAN (TO_DATE('06-APR-2012 07.25.00 PM', 'DD-MON-YYYY HH.MI.SS AM')) LOB (BFILEDATA) STORE AS SECUREFILE , SUBPARTITION FILESTORAGE_SPECIAL_DAY2 VALUES LESS THAN (TO_DATE('06-APR-2012 07.55.00 PM', 'DD-MON-YYYY HH.MI.SS AM')) LOB (BFILEDATA) STORE AS SECUREFILE , SUBPARTITION FILESTORAGE_SPECIAL_DAY3 VALUES LESS THAN (TO_DATE('06-APR-2012 07.58.00 PM', 'DD-MON-YYYY HH.MI.SS AM')) LOB (BFILEDATA) STORE AS SECUREFILE , SUBPARTITION FILESTORAGE_SPECIAL_FUTURE VALUES LESS THAN (MAXVALUE) ) )ENABLE ROW MOVEMENT; The next post related to partitioned repository will come with an sample component to handle the possible exceptions when you need to take off line an tablespace/partition or move to another place. Also, we can include some integration to the Retention Management and Records Management. Another subject related to partitioning is the ability to create an FileStore Provider pointed to a different database, raising the level of the distributed storage vs. performance. Let us know if this is important to you or you have an use case not listed, leave a comment. Cross-posted on the blog.ContentrA.com

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  • CodePlex Daily Summary for Sunday, February 06, 2011

    CodePlex Daily Summary for Sunday, February 06, 2011Popular ReleasesMVVM Light Toolkit: MVVM Light Toolkit V3 SP1 (4): There was a small issue with the previous release that caused errors when installing the templates in VS10 Express. This release corrects the error. Only use this if you encountered issues when installing the previous release. No changes in the binaries.Finestra Virtual Desktops: 1.0: Finally the version 1.0 release! Sorry for the long delay since the last release, but I think that you'll find this release to be really smooth, really stable, and a really great enhancement to Windows. New features include: Windows 7 taskbar integration Major performance and usability improvements Redesigned look and feel New name: Finestra Better automatic updating Much faster full-screen switcher Fixes Windows 7 hotkey collisions by default Updated installerEnhSim: EnhSim 2.3.4 ALPHA: 2.3.3 ALPHAThis release supports WoW patch 4.06 at level 85 To use this release, you must have the Microsoft Visual C++ 2010 Redistributable Package installed. This can be downloaded from http://www.microsoft.com/downloads/en/details.aspx?FamilyID=A7B7A05E-6DE6-4D3A-A423-37BF0912DB84 To use the GUI you must have the .NET 4.0 Framework installed. This can be downloaded from http://www.microsoft.com/downloads/en/details.aspx?FamilyID=9cfb2d51-5ff4-4491-b0e5-b386f32c0992 - Updated Unheeded ...Nuclex Framework: R1323: This release is a pure XNA 4.0 release that no longer includes any XNA 3.1 binaries or projects. All x86 assemblies have been compiled targeting the .NET 4.0 Client Profile. Requires either Visual C# 2010 Express or Visual Studio 2010, both with XNA Game Studio 4.0. 3rd party libraries needed to compile and run the source code are included, so everything will compile out of the box. Changes: - Thanks to a generous contribution by Adrian Tsai, the TrueType importer now accepts standard Windo...Community Forums NNTP bridge: Community Forums NNTP Bridge V43: Release of the Community Forums NNTP Bridge to access the social and anwsers MS forums with a single, open source NNTP bridge. This release has added some features / bugfixes: Bugfix: Now supporting multi-line headers in all headers ;) / Thanks to Kai Schätzl for reporting this! Debug output optimized / Added a "Copy to clipboard" button in the debug windowFacebook C# SDK: 5.0.2 (BETA): PLEASE TAKE A FEW MINUTES TO GIVE US SOME FEEDBACK: Facebook C# SDK Survey This is third BETA release of the version 5 branch of the Facebook C# SDK. Remember this is a BETA build. Some things may change or not work exactly as planned. We are absolutely looking for feedback on this release to help us improve the final 5.X.X release. This release contains some breaking changes. Particularly with authentication. After spending time reviewing the trouble areas that people are having using th...ASP.NET MVC SiteMap provider: MvcSiteMapProvider 3.0.0 for MVC3: Using NuGet?MvcSiteMapProvider is also listed in the NuGet feed. Learn more... Like the project? Consider a donation!Donate via PayPal via PayPal. ChangelogTargeting ASP.NET MVC 3 and .NET 4.0 Additional UpdatePriority options for generating XML sitemaps Allow to specify target on SiteMapTitleAttribute One action with multiple routes and breadcrumbs Medium Trust optimizations Create SiteMapTitleAttribute for setting parent title IntelliSense for your sitemap with MvcSiteMapSchem...Rawr: Rawr 4.0.18 Beta: Rawr is now web-based. The link to use Rawr4 is: http://elitistjerks.com/rawr.phpThis is the Cataclysm Beta Release. More details can be found at the following link http://rawr.codeplex.com/Thread/View.aspx?ThreadId=237262 As of the 4.0.16 release, you can now also begin using the new Downloadable WPF version of Rawr!This is a pre-alpha release of the WPF version, there are likely to be a lot of issues. If you have a problem, please follow the Posting Guidelines and put it into the Issue Trac...patterns & practices SharePoint Guidance: SharePoint Guidance 2010 Hands On Lab: SharePoint Guidance 2010 Hands On Lab consists of six labs: one for logging, one for service location, and four for application setting manager. Each lab takes about 20 minutes to walk through. Each lab consists of a PDF document. You can go through the steps in the doc to create solution and then build/deploy the solution and run the lab. For those of you who wants to save the time, we included the final solution so you can just build/deploy the solution and run the lab.Value Injecter - object(s) to -> object mapper: 2.3: it lets you define your own convention-based matching algorithms (ValueInjections) in order to match up (inject) source values to destination values. inject from multiple sources in one InjectFrom added ConventionInjectionTweetSharp: TweetSharp v2.0.0.0 - Preview 10: Documentation for this release may be found at http://tweetsharp.codeplex.com/wikipage?title=UserGuide&referringTitle=Documentation. Note: This code is currently preview quality. Preview 9 ChangesAdded support for trends Added support for Silverlight 4 Elevated WP7 fixes Third Party Library VersionsHammock v1.1.7: http://hammock.codeplex.com Json.NET 4.0 Release 1: http://json.codeplex.comFacebook Graph Toolkit: Facebook Graph Toolkit 0.7: Version 0.7 updates (2 Feb 2011)new Facebook Graph objects: Link, Note, StatusMessage new publish features: status update, post with link attachment new Graph Api connections in User object: statuses, links, notes internal code path improvement on Api object bug fixed: extra "r" character appears for strings with "\r" symbols in Json Objects bug fixed: error when performing Postback to the same page Tutorial and documentation available at http://fbgraph.computerbeacon.netChemistry Add-in for Word: Chemistry Add-in for Word - Version 1.0: On February 1, 2011, we announced the availability of version 1 of the Chemistry Add-in for Word, as well as the assignment of the open source project to the Outercurve Foundation by Microsoft Research and the University of Cambridge. System RequirementsHardware RequirementsAny computer that can run Office 2007 or Office 2010. Software RequirementsYour computer must have the following software: Any version of Windows that can run Office 2007 or Office 2010, which includes Windows XP SP3 and...Minemapper: Minemapper v0.1.4: Updated mcmap, now supports new block types. Added a Worlds->'View Cache Folder' menu item.StyleCop for ReSharper: StyleCop for ReSharper 5.1.15005.000: Applied patch from rodpl for merging of stylecop setting files with settings in parent folder. Previous release: A considerable amount of work has gone into this release: Huge focus on performance around the violation scanning subsystem: - caching added to reduce IO operations around reading and merging of settings files - caching added to reduce creation of expensive objects Users should notice condsiderable perf boost and a decrease in memory usage. Bug Fixes: - StyleCop's new Objec...Minecraft Tools: Minecraft Topographical Survey 1.4: MTS requires version 4 of the .NET Framework - you must download it from Microsoft if you have not previously installed it. This version of MTS adds MCRegion support and fixes bugs that caused rendering to fail for some users. New in this version of MTS: Support for rendering worlds compressed with MCRegion Fixed rendering failure when encountering non-NBT files with the .dat extension Fixed rendering failure when encountering corrupt NBT files Minor GUI updates Note that the command...MVC Controls Toolkit: Mvc Controls Toolkit 0.8: Fixed the following bugs: *Variable name error in the jvascript file that prevented the use of the deleted item template of the Datagrid *Now after the changes applied to an item of the DataGrid are cancelled all input fields are reset to the very initial value they had. *Other minor bugs. Added: *This version is available both for MVC2, and MVC 3. The MVC 3 version has a release number of 0.85. This way one can install both version. *Client Validation support has been added to all control...Office Web.UI: Beta preview (Source): This is the first Beta. it includes full source code and all available controls. Some designers are not ready, and some features are not finalized allready (missing properties, draft styles) ThanksASP.net Ribbon: Version 2.2: This release brings some new controls (part of Office Web.UI). A few bugs are fixed and it includes the "auto resize" feature as you resize the window. (It can cause an infinite loop when the window is too reduced, it's why this release is not marked as "stable"). I will release more versions 2.3, 2.4... until V3 which will be the official launch of Office Web.UI. Both products will evolve at the same speed. Thanks.xUnit.net - Unit Testing for .NET: xUnit.net 1.7: xUnit.net release 1.7Build #1540 Important notes for Resharper users: Resharper support has been moved to the xUnit.net Contrib project. Important note for TestDriven.net users: If you are having issues running xUnit.net tests in TestDriven.net, especially on 64-bit Windows, we strongly recommend you upgrade to TD.NET version 3.0 or later. This release adds the following new features: Added support for ASP.NET MVC 3 Added Assert.Equal(double expected, double actual, int precision) Ad...New ProjectsADE: ADE cmsAlicia - Elastic LoadBalancer: Alicia is a HTTP & HTTPS LoadBalancer. It is meant to be put in front of a server cluster. It implements a simple round robin mechanism. The default ports used are 1) HTTP 10080 2) HTTPS 10443 3) Admin 10010CMake syntax highlighting for Visual Studio 2010: CMake (http://cmake.org) is a cross platform build tool that works just as well with Visual Studio as it does with Xcode or the gnu make environment. This project aims to add syntax highlighting for the CMake script language to Visual Studio 2010 and is written in C#. ConCatJS: ConCatJS is a simple application that is capable of recursively processing directories and concatenating the JavaScript files therein into a single file.FicusFactor Image Watermarking Plugin for Windows Live Photo Gallery: Simple plugin for Windows Live Photo Gallery that can be used for applying watermarks to images. Can configure text, font, and placement of watermarks.FlMML: FlMML is a actionscript 3.0 library. It is made for generating sounds with MML. GSMock: GSMock is a mocking utility for the Google Search Appliance. It enables search responses to be mocked for search requests. GUIMaLoRT: The GUI for the MaLoRT.HushDB: This is a simple relational database. Its main purpose is to help people improve the understanding of how RDBMS is implemented after taking the database cource in university.Medical Log: Crear un registro de consultas medicas que facilite la gestión de los pacientes y manejo de información por reportes. Medical Log facilita el uso de registros de pacientes a médicos para obtener mayor información y más rápida de sus pacientes. Desarrollado con WPF .NET 4.0 MetaMold: semantic data through dynamic objects: MetaMold is a library to simplify the manipulation of semantic data through the usage of dynamic objects and pluggable convention-based mappings.My First Facebook Application: This is devoted to my first Facebook application.Nintemulator: A single software solution that offers support for a wide array of nintendo consoles.Orchard Facebook Like Widget: This is the project for the Facebook Like Widget module for the Orchard Project.Peggle: Its 2d game developed in c++ using qt and box2d. it helps developers to understand how to use box2d and qt efficiently. Pet Shelter - ASP.NET MVC 3 Learning Experiment: A web site for pet shelter managers and simple users who try to find their own pets, or to adopt one. This project is basically an ASP.NET MVC 3 learning experiment so if you want to join please contact me. It is developed in .NET 4.0, specifically C#. Robot-One ITI Cesena: Programma e documentazione per il Robot-One, il robottone cingolato dell'ITI di Cesena. Running Portal: Portal of 100loopRunning SharePoint List Based 404 Handler: A SharePoint WSP that customises the 404 handler for a web application, allowing you to define how to handle missing page requests via a SharePoint list.SharpSerializer: SharpSerializer is an open source XML and binary serializer for .NET Framework, .NET Compact Framework and Silverlight. It was developed with C#. Actually SharpSerializer can serialize to Xml and to its own binary format.SocialTank: Fill up the tank with social stuff!SQL Space Map: SQL Space Map is a tool that lets you quickly and easily view the relative size of database objects on a map, so you can compare them visually. It helps identify large objects, objects with a high index/data ratio, and tables which may be growing more quickly than expected.Supernover framework: SAF( SuperNover Application Framework)ToolBlog: Space reserved for the ToolBlog, which is a study about a site/blog in ASP.NET MVC 3Useful C# Extensions and Code generator: Initially a private repository, I want to make my collection of extensions and a code generating framework public. XnaLoop: simple test of xna game loop

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  • What is the best Battleship AI?

    - by John Gietzen
    Battleship! Back in 2003, (when I was 17,) I competed in a Battleship AI coding competition. Even though I lost that tournament, I had a lot of fun and learned a lot from it. Now, I would like to resurrect this competition, in the search of the best battleship AI. Here is the framework: Battleship.zip The winner will be awarded +450 reputation! The competition will be held starting on the 17th of November, 2009. No entries or edits later than zero-hour on the 17th will be accepted. (Central Standard Time) Submit your entries early, so you don't miss your opportunity! To keep this OBJECTIVE, please follow the spirit of the competition. Rules of the game: The game is be played on a 10x10 grid. Each competitor will place each of 5 ships (of lengths 2, 3, 3, 4, 5) on their grid. No ships may overlap, but they may be adjacent. The competitors then take turns firing single shots at their opponent. A variation on the game allows firing multiple shots per volley, one for each surviving ship. The opponent will notify the competitor if the shot sinks, hits, or misses. Game play ends when all of the ships of any one player are sunk. Rules of the competition: The spirit of the competition is to find the best Battleship algorithm. Anything that is deemed against the spirit of the competition will be grounds for disqualification. Interfering with an opponent is against the spirit of the competition. Multithreading may be used under the following restrictions: No more than one thread may be running while it is not your turn. (Though, any number of threads may be in a "Suspended" state). No thread may run at a priority other than "Normal". Given the above two restrictions, you will be guaranteed at least 3 dedicated CPU cores during your turn. A limit of 1 second of CPU time per game is allotted to each competitor on the primary thread. Running out of time results in losing the current game. Any unhandled exception will result in losing the current game. Network access and disk access is allowed, but you may find the time restrictions fairly prohibitive. However, a few set-up and tear-down methods have been added to alleviate the time strain. Code should be posted on stack overflow as an answer, or, if too large, linked. Max total size (un-compressed) of an entry is 1 MB. Officially, .Net 2.0 / 3.5 is the only framework requirement. Your entry must implement the IBattleshipOpponent interface. Scoring: Best 51 games out of 101 games is the winner of a match. All competitors will play matched against each other, round-robin style. The best half of the competitors will then play a double-elimination tournament to determine the winner. (Smallest power of two that is greater than or equal to half, actually.) I will be using the TournamentApi framework for the tournament. The results will be posted here. If you submit more than one entry, only your best-scoring entry is eligible for the double-elim. Good luck! Have fun! EDIT 1: Thanks to Freed, who has found an error in the Ship.IsValid function. It has been fixed. Please download the updated version of the framework. EDIT 2: Since there has been significant interest in persisting stats to disk and such, I have added a few non-timed set-up and tear-down events that should provide the required functionality. This is a semi-breaking change. That is to say: the interface has been modified to add functions, but no body is required for them. Please download the updated version of the framework. EDIT 3: Bug Fix 1: GameWon and GameLost were only getting called in the case of a time out. Bug Fix 2: If an engine was timing out every game, the competition would never end. Please download the updated version of the framework. EDIT 4: Results!

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  • java runtime 6 with socks v5 proxy - Possible?

    - by rwired
    I have written an application that (amongst other things) runs a local service in windows that acts as a SOCKS v5 proxy for Firefox. I'm in the debugging phase right now and have found certain websites that don't work correctly. For example the Java Applet for Picture Uploading on Facebook.com fails because is is unable to lookup domains. My app overrides a hidden FF config setting network.proxy.socks__remote__dns setting it to true. The whole purpose of the app is to allow access to websites when behind a firewall (e.g. if the user is in China), so this setting is essential to ensure domains are resolved remotely also (and not just HTTP requests). In the JRE6 settings (documented here) there isn't an equivalent setting, and since remote DNS resolution is a feature of SOCKS v5 and not v4 as the documentation seems to imply I'm worried that it's just not possible. How can I programmatically make sure the JRE uses a SOCKS v5 proxy for all requests (including DNS)? UPDATE: Steps to reproduce this problem: Make sure you are behind a firewall that blocks (or redirects) internet access including DNS Install PuTTY and add a dynamic SSH tunnel on some port number of your choice (e.g. 9870). Then login to a remote server that has full access to the internet Launch Firefox and you will not be able to browse the web In FF network settings set the SOCKS v5 proxy to localhost:9870 In FF go to about:config, change network.proxy.socks__remote__dns to true You will now be able to browse the web. Go to facebook.com, login, go to your profile and attempt to use the picture uploader java applet to add some pictures It will fail with a series of class not found errors looking similar to: load: class com.facebook.facebookphotouploader5.FacebookPhotoUploader5.class not found. I believe this is failing because the JRE is unable to resolve the domain that the class resides on. I'm basing this belief on the fact that the documentation (http://java.sun.com/javase/6/docs/technotes/guides/deployment/deployment-guide/properties.html) talks only about SOCKS v4 (which as far as I know does not support remote DNS). My deployment.properties file is located in %APPDATA%\Sun\Java\Deployment. I can confirm that modifications I make in the Java Control Panel get written into that file. If instead of "Use browser setting" the network settings for Java I override and attempt to use the SOCKS proxy settings manually, I still have the issue. There does not seem to be an easy way to force the JRE to do DNS remotely through the Proxy. UPDATE 2: Without the SOCKS proxy, from my local client www.facebook.com resolves to 203.161.230.171 upload.facebook.com resolves to 64.33.88.161 Neither host is reachable (because of the firewall) If I login to the remote server, I get: www.facebook.com 69.63.187.17 upload.facebook.com 69.63.178.32 Both these IPs change after a few minutes, as it seems Facebook uses round-robin DNS and other load-balancing. With the Proxy settings set in Firefox, I can navigate to www.facebook.com without any difficulty (since DNS is being resolved remotely on the Proxy). Whey I go to the page with the Java applet it fails with the stacktrace messages I've already reported. However if I edit Windows\System32\drivers\etc\hosts, adding the correct IP for upload.facebook.com I can get the applet to load and work correctly (restart of FF is sometimes necessary). This evidence seems to support my theory that the Java Runtime is not resolving DNS on the Proxy, but instead just routing traffic though it. My application is for mass-deployment, and needs to work with java applets on other sites (not just facebook). I really need a work-around for this problem. UPDATE 3 Stacktrace dump a requested by ZZ Coder: load: class com.facebook.facebookphotouploader5.FacebookPhotoUploader5.class not found. java.lang.ClassNotFoundException: com.facebook.facebookphotouploader5.FacebookPhotoUploader5.class at sun.plugin2.applet.Applet2ClassLoader.findClass(Unknown Source) at java.lang.ClassLoader.loadClass(Unknown Source) at java.lang.ClassLoader.loadClass(Unknown Source) at sun.plugin2.applet.Plugin2ClassLoader.loadCode(Unknown Source) at sun.plugin2.applet.Plugin2Manager.createApplet(Unknown Source) at sun.plugin2.applet.Plugin2Manager$AppletExecutionRunnable.run(Unknown Source) at java.lang.Thread.run(Unknown Source) Caused by: java.net.SocketException: Connection reset at java.net.SocketInputStream.read(Unknown Source) at java.io.BufferedInputStream.fill(Unknown Source) at java.io.BufferedInputStream.read1(Unknown Source) at java.io.BufferedInputStream.read(Unknown Source) at sun.net.www.http.HttpClient.parseHTTPHeader(Unknown Source) at sun.net.www.http.HttpClient.parseHTTP(Unknown Source) at sun.net.www.http.HttpClient.parseHTTP(Unknown Source) at sun.net.www.protocol.http.HttpURLConnection.getInputStream(Unknown Source) at java.net.HttpURLConnection.getResponseCode(Unknown Source) at sun.plugin2.applet.Applet2ClassLoader.getBytes(Unknown Source) at sun.plugin2.applet.Applet2ClassLoader.access$000(Unknown Source) at sun.plugin2.applet.Applet2ClassLoader$1.run(Unknown Source) at java.security.AccessController.doPrivileged(Native Method) ... 7 more Exception: java.lang.ClassNotFoundException: com.facebook.facebookphotouploader5.FacebookPhotoUploader5.class Dumping class loader cache... Live entry: key=http://upload.facebook.com/controls/2008.10.10_v5.5.8/,FacebookPhotoUploader5.jar,FacebookPhotoUploader5.jar, refCount=1, threadGroup=sun.plugin2.applet.Applet2ThreadGroup[name=http://upload.facebook.com/controls/2008.10.10_v5.5.8/-threadGroup,maxpri=4] Done.

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  • Of these 3 methods for reading linked lists from shared memory, why is the 3rd fastest?

    - by Joseph Garvin
    I have a 'server' program that updates many linked lists in shared memory in response to external events. I want client programs to notice an update on any of the lists as quickly as possible (lowest latency). The server marks a linked list's node's state_ as FILLED once its data is filled in and its next pointer has been set to a valid location. Until then, its state_ is NOT_FILLED_YET. I am using memory barriers to make sure that clients don't see the state_ as FILLED before the data within is actually ready (and it seems to work, I never see corrupt data). Also, state_ is volatile to be sure the compiler doesn't lift the client's checking of it out of loops. Keeping the server code exactly the same, I've come up with 3 different methods for the client to scan the linked lists for changes. The question is: Why is the 3rd method fastest? Method 1: Round robin over all the linked lists (called 'channels') continuously, looking to see if any nodes have changed to 'FILLED': void method_one() { std::vector<Data*> channel_cursors; for(ChannelList::iterator i = channel_list.begin(); i != channel_list.end(); ++i) { Data* current_item = static_cast<Data*>(i->get(segment)->tail_.get(segment)); channel_cursors.push_back(current_item); } while(true) { for(std::size_t i = 0; i < channel_list.size(); ++i) { Data* current_item = channel_cursors[i]; ACQUIRE_MEMORY_BARRIER; if(current_item->state_ == NOT_FILLED_YET) { continue; } log_latency(current_item->tv_sec_, current_item->tv_usec_); channel_cursors[i] = static_cast<Data*>(current_item->next_.get(segment)); } } } Method 1 gave very low latency when then number of channels was small. But when the number of channels grew (250K+) it became very slow because of looping over all the channels. So I tried... Method 2: Give each linked list an ID. Keep a separate 'update list' to the side. Every time one of the linked lists is updated, push its ID on to the update list. Now we just need to monitor the single update list, and check the IDs we get from it. void method_two() { std::vector<Data*> channel_cursors; for(ChannelList::iterator i = channel_list.begin(); i != channel_list.end(); ++i) { Data* current_item = static_cast<Data*>(i->get(segment)->tail_.get(segment)); channel_cursors.push_back(current_item); } UpdateID* update_cursor = static_cast<UpdateID*>(update_channel.tail_.get(segment)); while(true) { if(update_cursor->state_ == NOT_FILLED_YET) { continue; } ::uint32_t update_id = update_cursor->list_id_; Data* current_item = channel_cursors[update_id]; if(current_item->state_ == NOT_FILLED_YET) { std::cerr << "This should never print." << std::endl; // it doesn't continue; } log_latency(current_item->tv_sec_, current_item->tv_usec_); channel_cursors[update_id] = static_cast<Data*>(current_item->next_.get(segment)); update_cursor = static_cast<UpdateID*>(update_cursor->next_.get(segment)); } } Method 2 gave TERRIBLE latency. Whereas Method 1 might give under 10us latency, Method 2 would inexplicably often given 8ms latency! Using gettimeofday it appears that the change in update_cursor-state_ was very slow to propogate from the server's view to the client's (I'm on a multicore box, so I assume the delay is due to cache). So I tried a hybrid approach... Method 3: Keep the update list. But loop over all the channels continuously, and within each iteration check if the update list has updated. If it has, go with the number pushed onto it. If it hasn't, check the channel we've currently iterated to. void method_three() { std::vector<Data*> channel_cursors; for(ChannelList::iterator i = channel_list.begin(); i != channel_list.end(); ++i) { Data* current_item = static_cast<Data*>(i->get(segment)->tail_.get(segment)); channel_cursors.push_back(current_item); } UpdateID* update_cursor = static_cast<UpdateID*>(update_channel.tail_.get(segment)); while(true) { for(std::size_t i = 0; i < channel_list.size(); ++i) { std::size_t idx = i; ACQUIRE_MEMORY_BARRIER; if(update_cursor->state_ != NOT_FILLED_YET) { //std::cerr << "Found via update" << std::endl; i--; idx = update_cursor->list_id_; update_cursor = static_cast<UpdateID*>(update_cursor->next_.get(segment)); } Data* current_item = channel_cursors[idx]; ACQUIRE_MEMORY_BARRIER; if(current_item->state_ == NOT_FILLED_YET) { continue; } found_an_update = true; log_latency(current_item->tv_sec_, current_item->tv_usec_); channel_cursors[idx] = static_cast<Data*>(current_item->next_.get(segment)); } } } The latency of this method was as good as Method 1, but scaled to large numbers of channels. The problem is, I have no clue why. Just to throw a wrench in things: if I uncomment the 'found via update' part, it prints between EVERY LATENCY LOG MESSAGE. Which means things are only ever found on the update list! So I don't understand how this method can be faster than method 2. The full, compilable code (requires GCC and boost-1.41) that generates random strings as test data is at: http://pastebin.com/e3HuL0nr

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  • Improving Partitioned Table Join Performance

    - by Paul White
    The query optimizer does not always choose an optimal strategy when joining partitioned tables. This post looks at an example, showing how a manual rewrite of the query can almost double performance, while reducing the memory grant to almost nothing. Test Data The two tables in this example use a common partitioning partition scheme. The partition function uses 41 equal-size partitions: CREATE PARTITION FUNCTION PFT (integer) AS RANGE RIGHT FOR VALUES ( 125000, 250000, 375000, 500000, 625000, 750000, 875000, 1000000, 1125000, 1250000, 1375000, 1500000, 1625000, 1750000, 1875000, 2000000, 2125000, 2250000, 2375000, 2500000, 2625000, 2750000, 2875000, 3000000, 3125000, 3250000, 3375000, 3500000, 3625000, 3750000, 3875000, 4000000, 4125000, 4250000, 4375000, 4500000, 4625000, 4750000, 4875000, 5000000 ); GO CREATE PARTITION SCHEME PST AS PARTITION PFT ALL TO ([PRIMARY]); There two tables are: CREATE TABLE dbo.T1 ( TID integer NOT NULL IDENTITY(0,1), Column1 integer NOT NULL, Padding binary(100) NOT NULL DEFAULT 0x,   CONSTRAINT PK_T1 PRIMARY KEY CLUSTERED (TID) ON PST (TID) );   CREATE TABLE dbo.T2 ( TID integer NOT NULL, Column1 integer NOT NULL, Padding binary(100) NOT NULL DEFAULT 0x,   CONSTRAINT PK_T2 PRIMARY KEY CLUSTERED (TID, Column1) ON PST (TID) ); The next script loads 5 million rows into T1 with a pseudo-random value between 1 and 5 for Column1. The table is partitioned on the IDENTITY column TID: INSERT dbo.T1 WITH (TABLOCKX) (Column1) SELECT (ABS(CHECKSUM(NEWID())) % 5) + 1 FROM dbo.Numbers AS N WHERE n BETWEEN 1 AND 5000000; In case you don’t already have an auxiliary table of numbers lying around, here’s a script to create one with 10 million rows: CREATE TABLE dbo.Numbers (n bigint PRIMARY KEY);   WITH L0 AS(SELECT 1 AS c UNION ALL SELECT 1), L1 AS(SELECT 1 AS c FROM L0 AS A CROSS JOIN L0 AS B), L2 AS(SELECT 1 AS c FROM L1 AS A CROSS JOIN L1 AS B), L3 AS(SELECT 1 AS c FROM L2 AS A CROSS JOIN L2 AS B), L4 AS(SELECT 1 AS c FROM L3 AS A CROSS JOIN L3 AS B), L5 AS(SELECT 1 AS c FROM L4 AS A CROSS JOIN L4 AS B), Nums AS(SELECT ROW_NUMBER() OVER (ORDER BY (SELECT NULL)) AS n FROM L5) INSERT dbo.Numbers WITH (TABLOCKX) SELECT TOP (10000000) n FROM Nums ORDER BY n OPTION (MAXDOP 1); Table T1 contains data like this: Next we load data into table T2. The relationship between the two tables is that table 2 contains ‘n’ rows for each row in table 1, where ‘n’ is determined by the value in Column1 of table T1. There is nothing particularly special about the data or distribution, by the way. INSERT dbo.T2 WITH (TABLOCKX) (TID, Column1) SELECT T.TID, N.n FROM dbo.T1 AS T JOIN dbo.Numbers AS N ON N.n >= 1 AND N.n <= T.Column1; Table T2 ends up containing about 15 million rows: The primary key for table T2 is a combination of TID and Column1. The data is partitioned according to the value in column TID alone. Partition Distribution The following query shows the number of rows in each partition of table T1: SELECT PartitionID = CA1.P, NumRows = COUNT_BIG(*) FROM dbo.T1 AS T CROSS APPLY (VALUES ($PARTITION.PFT(TID))) AS CA1 (P) GROUP BY CA1.P ORDER BY CA1.P; There are 40 partitions containing 125,000 rows (40 * 125k = 5m rows). The rightmost partition remains empty. The next query shows the distribution for table 2: SELECT PartitionID = CA1.P, NumRows = COUNT_BIG(*) FROM dbo.T2 AS T CROSS APPLY (VALUES ($PARTITION.PFT(TID))) AS CA1 (P) GROUP BY CA1.P ORDER BY CA1.P; There are roughly 375,000 rows in each partition (the rightmost partition is also empty): Ok, that’s the test data done. Test Query and Execution Plan The task is to count the rows resulting from joining tables 1 and 2 on the TID column: SET STATISTICS IO ON; DECLARE @s datetime2 = SYSUTCDATETIME();   SELECT COUNT_BIG(*) FROM dbo.T1 AS T1 JOIN dbo.T2 AS T2 ON T2.TID = T1.TID;   SELECT DATEDIFF(Millisecond, @s, SYSUTCDATETIME()); SET STATISTICS IO OFF; The optimizer chooses a plan using parallel hash join, and partial aggregation: The Plan Explorer plan tree view shows accurate cardinality estimates and an even distribution of rows across threads (click to enlarge the image): With a warm data cache, the STATISTICS IO output shows that no physical I/O was needed, and all 41 partitions were touched: Running the query without actual execution plan or STATISTICS IO information for maximum performance, the query returns in around 2600ms. Execution Plan Analysis The first step toward improving on the execution plan produced by the query optimizer is to understand how it works, at least in outline. The two parallel Clustered Index Scans use multiple threads to read rows from tables T1 and T2. Parallel scan uses a demand-based scheme where threads are given page(s) to scan from the table as needed. This arrangement has certain important advantages, but does result in an unpredictable distribution of rows amongst threads. The point is that multiple threads cooperate to scan the whole table, but it is impossible to predict which rows end up on which threads. For correct results from the parallel hash join, the execution plan has to ensure that rows from T1 and T2 that might join are processed on the same thread. For example, if a row from T1 with join key value ‘1234’ is placed in thread 5’s hash table, the execution plan must guarantee that any rows from T2 that also have join key value ‘1234’ probe thread 5’s hash table for matches. The way this guarantee is enforced in this parallel hash join plan is by repartitioning rows to threads after each parallel scan. The two repartitioning exchanges route rows to threads using a hash function over the hash join keys. The two repartitioning exchanges use the same hash function so rows from T1 and T2 with the same join key must end up on the same hash join thread. Expensive Exchanges This business of repartitioning rows between threads can be very expensive, especially if a large number of rows is involved. The execution plan selected by the optimizer moves 5 million rows through one repartitioning exchange and around 15 million across the other. As a first step toward removing these exchanges, consider the execution plan selected by the optimizer if we join just one partition from each table, disallowing parallelism: SELECT COUNT_BIG(*) FROM dbo.T1 AS T1 JOIN dbo.T2 AS T2 ON T2.TID = T1.TID WHERE $PARTITION.PFT(T1.TID) = 1 AND $PARTITION.PFT(T2.TID) = 1 OPTION (MAXDOP 1); The optimizer has chosen a (one-to-many) merge join instead of a hash join. The single-partition query completes in around 100ms. If everything scaled linearly, we would expect that extending this strategy to all 40 populated partitions would result in an execution time around 4000ms. Using parallelism could reduce that further, perhaps to be competitive with the parallel hash join chosen by the optimizer. This raises a question. If the most efficient way to join one partition from each of the tables is to use a merge join, why does the optimizer not choose a merge join for the full query? Forcing a Merge Join Let’s force the optimizer to use a merge join on the test query using a hint: SELECT COUNT_BIG(*) FROM dbo.T1 AS T1 JOIN dbo.T2 AS T2 ON T2.TID = T1.TID OPTION (MERGE JOIN); This is the execution plan selected by the optimizer: This plan results in the same number of logical reads reported previously, but instead of 2600ms the query takes 5000ms. The natural explanation for this drop in performance is that the merge join plan is only using a single thread, whereas the parallel hash join plan could use multiple threads. Parallel Merge Join We can get a parallel merge join plan using the same query hint as before, and adding trace flag 8649: SELECT COUNT_BIG(*) FROM dbo.T1 AS T1 JOIN dbo.T2 AS T2 ON T2.TID = T1.TID OPTION (MERGE JOIN, QUERYTRACEON 8649); The execution plan is: This looks promising. It uses a similar strategy to distribute work across threads as seen for the parallel hash join. In practice though, performance is disappointing. On a typical run, the parallel merge plan runs for around 8400ms; slower than the single-threaded merge join plan (5000ms) and much worse than the 2600ms for the parallel hash join. We seem to be going backwards! The logical reads for the parallel merge are still exactly the same as before, with no physical IOs. The cardinality estimates and thread distribution are also still very good (click to enlarge): A big clue to the reason for the poor performance is shown in the wait statistics (captured by Plan Explorer Pro): CXPACKET waits require careful interpretation, and are most often benign, but in this case excessive waiting occurs at the repartitioning exchanges. Unlike the parallel hash join, the repartitioning exchanges in this plan are order-preserving ‘merging’ exchanges (because merge join requires ordered inputs): Parallelism works best when threads can just grab any available unit of work and get on with processing it. Preserving order introduces inter-thread dependencies that can easily lead to significant waits occurring. In extreme cases, these dependencies can result in an intra-query deadlock, though the details of that will have to wait for another time to explore in detail. The potential for waits and deadlocks leads the query optimizer to cost parallel merge join relatively highly, especially as the degree of parallelism (DOP) increases. This high costing resulted in the optimizer choosing a serial merge join rather than parallel in this case. The test results certainly confirm its reasoning. Collocated Joins In SQL Server 2008 and later, the optimizer has another available strategy when joining tables that share a common partition scheme. This strategy is a collocated join, also known as as a per-partition join. It can be applied in both serial and parallel execution plans, though it is limited to 2-way joins in the current optimizer. Whether the optimizer chooses a collocated join or not depends on cost estimation. The primary benefits of a collocated join are that it eliminates an exchange and requires less memory, as we will see next. Costing and Plan Selection The query optimizer did consider a collocated join for our original query, but it was rejected on cost grounds. The parallel hash join with repartitioning exchanges appeared to be a cheaper option. There is no query hint to force a collocated join, so we have to mess with the costing framework to produce one for our test query. Pretending that IOs cost 50 times more than usual is enough to convince the optimizer to use collocated join with our test query: -- Pretend IOs are 50x cost temporarily DBCC SETIOWEIGHT(50);   -- Co-located hash join SELECT COUNT_BIG(*) FROM dbo.T1 AS T1 JOIN dbo.T2 AS T2 ON T2.TID = T1.TID OPTION (RECOMPILE);   -- Reset IO costing DBCC SETIOWEIGHT(1); Collocated Join Plan The estimated execution plan for the collocated join is: The Constant Scan contains one row for each partition of the shared partitioning scheme, from 1 to 41. The hash repartitioning exchanges seen previously are replaced by a single Distribute Streams exchange using Demand partitioning. Demand partitioning means that the next partition id is given to the next parallel thread that asks for one. My test machine has eight logical processors, and all are available for SQL Server to use. As a result, there are eight threads in the single parallel branch in this plan, each processing one partition from each table at a time. Once a thread finishes processing a partition, it grabs a new partition number from the Distribute Streams exchange…and so on until all partitions have been processed. It is important to understand that the parallel scans in this plan are different from the parallel hash join plan. Although the scans have the same parallelism icon, tables T1 and T2 are not being co-operatively scanned by multiple threads in the same way. Each thread reads a single partition of T1 and performs a hash match join with the same partition from table T2. The properties of the two Clustered Index Scans show a Seek Predicate (unusual for a scan!) limiting the rows to a single partition: The crucial point is that the join between T1 and T2 is on TID, and TID is the partitioning column for both tables. A thread that processes partition ‘n’ is guaranteed to see all rows that can possibly join on TID for that partition. In addition, no other thread will see rows from that partition, so this removes the need for repartitioning exchanges. CPU and Memory Efficiency Improvements The collocated join has removed two expensive repartitioning exchanges and added a single exchange processing 41 rows (one for each partition id). Remember, the parallel hash join plan exchanges had to process 5 million and 15 million rows. The amount of processor time spent on exchanges will be much lower in the collocated join plan. In addition, the collocated join plan has a maximum of 8 threads processing single partitions at any one time. The 41 partitions will all be processed eventually, but a new partition is not started until a thread asks for it. Threads can reuse hash table memory for the new partition. The parallel hash join plan also had 8 hash tables, but with all 5,000,000 build rows loaded at the same time. The collocated plan needs memory for only 8 * 125,000 = 1,000,000 rows at any one time. Collocated Hash Join Performance The collated join plan has disappointing performance in this case. The query runs for around 25,300ms despite the same IO statistics as usual. This is much the worst result so far, so what went wrong? It turns out that cardinality estimation for the single partition scans of table T1 is slightly low. The properties of the Clustered Index Scan of T1 (graphic immediately above) show the estimation was for 121,951 rows. This is a small shortfall compared with the 125,000 rows actually encountered, but it was enough to cause the hash join to spill to physical tempdb: A level 1 spill doesn’t sound too bad, until you realize that the spill to tempdb probably occurs for each of the 41 partitions. As a side note, the cardinality estimation error is a little surprising because the system tables accurately show there are 125,000 rows in every partition of T1. Unfortunately, the optimizer uses regular column and index statistics to derive cardinality estimates here rather than system table information (e.g. sys.partitions). Collocated Merge Join We will never know how well the collocated parallel hash join plan might have worked without the cardinality estimation error (and the resulting 41 spills to tempdb) but we do know: Merge join does not require a memory grant; and Merge join was the optimizer’s preferred join option for a single partition join Putting this all together, what we would really like to see is the same collocated join strategy, but using merge join instead of hash join. Unfortunately, the current query optimizer cannot produce a collocated merge join; it only knows how to do collocated hash join. So where does this leave us? CROSS APPLY sys.partitions We can try to write our own collocated join query. We can use sys.partitions to find the partition numbers, and CROSS APPLY to get a count per partition, with a final step to sum the partial counts. The following query implements this idea: SELECT row_count = SUM(Subtotals.cnt) FROM ( -- Partition numbers SELECT p.partition_number FROM sys.partitions AS p WHERE p.[object_id] = OBJECT_ID(N'T1', N'U') AND p.index_id = 1 ) AS P CROSS APPLY ( -- Count per collocated join SELECT cnt = COUNT_BIG(*) FROM dbo.T1 AS T1 JOIN dbo.T2 AS T2 ON T2.TID = T1.TID WHERE $PARTITION.PFT(T1.TID) = p.partition_number AND $PARTITION.PFT(T2.TID) = p.partition_number ) AS SubTotals; The estimated plan is: The cardinality estimates aren’t all that good here, especially the estimate for the scan of the system table underlying the sys.partitions view. Nevertheless, the plan shape is heading toward where we would like to be. Each partition number from the system table results in a per-partition scan of T1 and T2, a one-to-many Merge Join, and a Stream Aggregate to compute the partial counts. The final Stream Aggregate just sums the partial counts. Execution time for this query is around 3,500ms, with the same IO statistics as always. This compares favourably with 5,000ms for the serial plan produced by the optimizer with the OPTION (MERGE JOIN) hint. This is another case of the sum of the parts being less than the whole – summing 41 partial counts from 41 single-partition merge joins is faster than a single merge join and count over all partitions. Even so, this single-threaded collocated merge join is not as quick as the original parallel hash join plan, which executed in 2,600ms. On the positive side, our collocated merge join uses only one logical processor and requires no memory grant. The parallel hash join plan used 16 threads and reserved 569 MB of memory:   Using a Temporary Table Our collocated merge join plan should benefit from parallelism. The reason parallelism is not being used is that the query references a system table. We can work around that by writing the partition numbers to a temporary table (or table variable): SET STATISTICS IO ON; DECLARE @s datetime2 = SYSUTCDATETIME();   CREATE TABLE #P ( partition_number integer PRIMARY KEY);   INSERT #P (partition_number) SELECT p.partition_number FROM sys.partitions AS p WHERE p.[object_id] = OBJECT_ID(N'T1', N'U') AND p.index_id = 1;   SELECT row_count = SUM(Subtotals.cnt) FROM #P AS p CROSS APPLY ( SELECT cnt = COUNT_BIG(*) FROM dbo.T1 AS T1 JOIN dbo.T2 AS T2 ON T2.TID = T1.TID WHERE $PARTITION.PFT(T1.TID) = p.partition_number AND $PARTITION.PFT(T2.TID) = p.partition_number ) AS SubTotals;   DROP TABLE #P;   SELECT DATEDIFF(Millisecond, @s, SYSUTCDATETIME()); SET STATISTICS IO OFF; Using the temporary table adds a few logical reads, but the overall execution time is still around 3500ms, indistinguishable from the same query without the temporary table. The problem is that the query optimizer still doesn’t choose a parallel plan for this query, though the removal of the system table reference means that it could if it chose to: In fact the optimizer did enter the parallel plan phase of query optimization (running search 1 for a second time): Unfortunately, the parallel plan found seemed to be more expensive than the serial plan. This is a crazy result, caused by the optimizer’s cost model not reducing operator CPU costs on the inner side of a nested loops join. Don’t get me started on that, we’ll be here all night. In this plan, everything expensive happens on the inner side of a nested loops join. Without a CPU cost reduction to compensate for the added cost of exchange operators, candidate parallel plans always look more expensive to the optimizer than the equivalent serial plan. Parallel Collocated Merge Join We can produce the desired parallel plan using trace flag 8649 again: SELECT row_count = SUM(Subtotals.cnt) FROM #P AS p CROSS APPLY ( SELECT cnt = COUNT_BIG(*) FROM dbo.T1 AS T1 JOIN dbo.T2 AS T2 ON T2.TID = T1.TID WHERE $PARTITION.PFT(T1.TID) = p.partition_number AND $PARTITION.PFT(T2.TID) = p.partition_number ) AS SubTotals OPTION (QUERYTRACEON 8649); The actual execution plan is: One difference between this plan and the collocated hash join plan is that a Repartition Streams exchange operator is used instead of Distribute Streams. The effect is similar, though not quite identical. The Repartition uses round-robin partitioning, meaning the next partition id is pushed to the next thread in sequence. The Distribute Streams exchange seen earlier used Demand partitioning, meaning the next partition id is pulled across the exchange by the next thread that is ready for more work. There are subtle performance implications for each partitioning option, but going into that would again take us too far off the main point of this post. Performance The important thing is the performance of this parallel collocated merge join – just 1350ms on a typical run. The list below shows all the alternatives from this post (all timings include creation, population, and deletion of the temporary table where appropriate) from quickest to slowest: Collocated parallel merge join: 1350ms Parallel hash join: 2600ms Collocated serial merge join: 3500ms Serial merge join: 5000ms Parallel merge join: 8400ms Collated parallel hash join: 25,300ms (hash spill per partition) The parallel collocated merge join requires no memory grant (aside from a paltry 1.2MB used for exchange buffers). This plan uses 16 threads at DOP 8; but 8 of those are (rather pointlessly) allocated to the parallel scan of the temporary table. These are minor concerns, but it turns out there is a way to address them if it bothers you. Parallel Collocated Merge Join with Demand Partitioning This final tweak replaces the temporary table with a hard-coded list of partition ids (dynamic SQL could be used to generate this query from sys.partitions): SELECT row_count = SUM(Subtotals.cnt) FROM ( VALUES (1),(2),(3),(4),(5),(6),(7),(8),(9),(10), (11),(12),(13),(14),(15),(16),(17),(18),(19),(20), (21),(22),(23),(24),(25),(26),(27),(28),(29),(30), (31),(32),(33),(34),(35),(36),(37),(38),(39),(40),(41) ) AS P (partition_number) CROSS APPLY ( SELECT cnt = COUNT_BIG(*) FROM dbo.T1 AS T1 JOIN dbo.T2 AS T2 ON T2.TID = T1.TID WHERE $PARTITION.PFT(T1.TID) = p.partition_number AND $PARTITION.PFT(T2.TID) = p.partition_number ) AS SubTotals OPTION (QUERYTRACEON 8649); The actual execution plan is: The parallel collocated hash join plan is reproduced below for comparison: The manual rewrite has another advantage that has not been mentioned so far: the partial counts (per partition) can be computed earlier than the partial counts (per thread) in the optimizer’s collocated join plan. The earlier aggregation is performed by the extra Stream Aggregate under the nested loops join. The performance of the parallel collocated merge join is unchanged at around 1350ms. Final Words It is a shame that the current query optimizer does not consider a collocated merge join (Connect item closed as Won’t Fix). The example used in this post showed an improvement in execution time from 2600ms to 1350ms using a modestly-sized data set and limited parallelism. In addition, the memory requirement for the query was almost completely eliminated  – down from 569MB to 1.2MB. The problem with the parallel hash join selected by the optimizer is that it attempts to process the full data set all at once (albeit using eight threads). It requires a large memory grant to hold all 5 million rows from table T1 across the eight hash tables, and does not take advantage of the divide-and-conquer opportunity offered by the common partitioning. The great thing about the collocated join strategies is that each parallel thread works on a single partition from both tables, reading rows, performing the join, and computing a per-partition subtotal, before moving on to a new partition. From a thread’s point of view… If you have trouble visualizing what is happening from just looking at the parallel collocated merge join execution plan, let’s look at it again, but from the point of view of just one thread operating between the two Parallelism (exchange) operators. Our thread picks up a single partition id from the Distribute Streams exchange, and starts a merge join using ordered rows from partition 1 of table T1 and partition 1 of table T2. By definition, this is all happening on a single thread. As rows join, they are added to a (per-partition) count in the Stream Aggregate immediately above the Merge Join. Eventually, either T1 (partition 1) or T2 (partition 1) runs out of rows and the merge join stops. The per-partition count from the aggregate passes on through the Nested Loops join to another Stream Aggregate, which is maintaining a per-thread subtotal. Our same thread now picks up a new partition id from the exchange (say it gets id 9 this time). The count in the per-partition aggregate is reset to zero, and the processing of partition 9 of both tables proceeds just as it did for partition 1, and on the same thread. Each thread picks up a single partition id and processes all the data for that partition, completely independently from other threads working on other partitions. One thread might eventually process partitions (1, 9, 17, 25, 33, 41) while another is concurrently processing partitions (2, 10, 18, 26, 34) and so on for the other six threads at DOP 8. The point is that all 8 threads can execute independently and concurrently, continuing to process new partitions until the wider job (of which the thread has no knowledge!) is done. This divide-and-conquer technique can be much more efficient than simply splitting the entire workload across eight threads all at once. Related Reading Understanding and Using Parallelism in SQL Server Parallel Execution Plans Suck © 2013 Paul White – All Rights Reserved Twitter: @SQL_Kiwi

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  • Using the ASP.NET Cache to cache data in a Model or Business Object layer, without a dependency on System.Web in the layer - Part One.

    - by Rhames
    ASP.NET applications can make use of the System.Web.Caching.Cache object to cache data and prevent repeated expensive calls to a database or other store. However, ideally an application should make use of caching at the point where data is retrieved from the database, which typically is inside a Business Objects or Model layer. One of the key features of using a UI pattern such as Model-View-Presenter (MVP) or Model-View-Controller (MVC) is that the Model and Presenter (or Controller) layers are developed without any knowledge of the UI layer. Introducing a dependency on System.Web into the Model layer would break this independence of the Model from the View. This article gives a solution to this problem, using dependency injection to inject the caching implementation into the Model layer at runtime. This allows caching to be used within the Model layer, without any knowledge of the actual caching mechanism that will be used. Create a sample application to use the caching solution Create a test SQL Server database This solution uses a SQL Server database with the same Sales data used in my previous post on calculating running totals. The advantage of using this data is that it gives nice slow queries that will exaggerate the effect of using caching! To create the data, first create a new SQL database called CacheSample. Next run the following script to create the Sale table and populate it: USE CacheSample GO   CREATE TABLE Sale(DayCount smallint, Sales money) CREATE CLUSTERED INDEX ndx_DayCount ON Sale(DayCount) go INSERT Sale VALUES (1,120) INSERT Sale VALUES (2,60) INSERT Sale VALUES (3,125) INSERT Sale VALUES (4,40)   DECLARE @DayCount smallint, @Sales money SET @DayCount = 5 SET @Sales = 10   WHILE @DayCount < 5000  BEGIN  INSERT Sale VALUES (@DayCount,@Sales)  SET @DayCount = @DayCount + 1  SET @Sales = @Sales + 15  END Next create a stored procedure to calculate the running total, and return a specified number of rows from the Sale table, using the following script: USE [CacheSample] GO   SET ANSI_NULLS ON GO   SET QUOTED_IDENTIFIER ON GO   -- ============================================= -- Author:        Robin -- Create date: -- Description:   -- ============================================= CREATE PROCEDURE [dbo].[spGetRunningTotals]       -- Add the parameters for the stored procedure here       @HighestDayCount smallint = null AS BEGIN       -- SET NOCOUNT ON added to prevent extra result sets from       -- interfering with SELECT statements.       SET NOCOUNT ON;         IF @HighestDayCount IS NULL             SELECT @HighestDayCount = MAX(DayCount) FROM dbo.Sale                   DECLARE @SaleTbl TABLE (DayCount smallint, Sales money, RunningTotal money)         DECLARE @DayCount smallint,                   @Sales money,                   @RunningTotal money         SET @RunningTotal = 0       SET @DayCount = 0         DECLARE rt_cursor CURSOR       FOR       SELECT DayCount, Sales       FROM Sale       ORDER BY DayCount         OPEN rt_cursor         FETCH NEXT FROM rt_cursor INTO @DayCount,@Sales         WHILE @@FETCH_STATUS = 0 AND @DayCount <= @HighestDayCount        BEGIN        SET @RunningTotal = @RunningTotal + @Sales        INSERT @SaleTbl VALUES (@DayCount,@Sales,@RunningTotal)        FETCH NEXT FROM rt_cursor INTO @DayCount,@Sales        END         CLOSE rt_cursor       DEALLOCATE rt_cursor         SELECT DayCount, Sales, RunningTotal       FROM @SaleTbl   END   GO   Create the Sample ASP.NET application In Visual Studio create a new solution and add a class library project called CacheSample.BusinessObjects and an ASP.NET web application called CacheSample.UI. The CacheSample.BusinessObjects project will contain a single class to represent a Sale data item, with all the code to retrieve the sales from the database included in it for simplicity (normally I would at least have a separate Repository or other object that is responsible for retrieving data, and probably a data access layer as well, but for this sample I want to keep it simple). The C# code for the Sale class is shown below: using System; using System.Collections.Generic; using System.Data; using System.Data.SqlClient;   namespace CacheSample.BusinessObjects {     public class Sale     {         public Int16 DayCount { get; set; }         public decimal Sales { get; set; }         public decimal RunningTotal { get; set; }           public static IEnumerable<Sale> GetSales(int? highestDayCount)         {             List<Sale> sales = new List<Sale>();               SqlParameter highestDayCountParameter = new SqlParameter("@HighestDayCount", SqlDbType.SmallInt);             if (highestDayCount.HasValue)                 highestDayCountParameter.Value = highestDayCount;             else                 highestDayCountParameter.Value = DBNull.Value;               string connectionStr = System.Configuration.ConfigurationManager .ConnectionStrings["CacheSample"].ConnectionString;               using(SqlConnection sqlConn = new SqlConnection(connectionStr))             using (SqlCommand sqlCmd = sqlConn.CreateCommand())             {                 sqlCmd.CommandText = "spGetRunningTotals";                 sqlCmd.CommandType = CommandType.StoredProcedure;                 sqlCmd.Parameters.Add(highestDayCountParameter);                   sqlConn.Open();                   using (SqlDataReader dr = sqlCmd.ExecuteReader())                 {                     while (dr.Read())                     {                         Sale newSale = new Sale();                         newSale.DayCount = dr.GetInt16(0);                         newSale.Sales = dr.GetDecimal(1);                         newSale.RunningTotal = dr.GetDecimal(2);                           sales.Add(newSale);                     }                 }             }               return sales;         }     } }   The static GetSale() method makes a call to the spGetRunningTotals stored procedure and then reads each row from the returned SqlDataReader into an instance of the Sale class, it then returns a List of the Sale objects, as IEnnumerable<Sale>. A reference to System.Configuration needs to be added to the CacheSample.BusinessObjects project so that the connection string can be read from the web.config file. In the CacheSample.UI ASP.NET project, create a single web page called ShowSales.aspx, and make this the default start up page. This page will contain a single button to call the GetSales() method and a label to display the results. The html mark up and the C# code behind are shown below: ShowSales.aspx <%@ Page Language="C#" AutoEventWireup="true" CodeBehind="ShowSales.aspx.cs" Inherits="CacheSample.UI.ShowSales" %>   <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">   <html xmlns="http://www.w3.org/1999/xhtml"> <head runat="server">     <title>Cache Sample - Show All Sales</title> </head> <body>     <form id="form1" runat="server">     <div>         <asp:Button ID="btnTest1" runat="server" onclick="btnTest1_Click"             Text="Get All Sales" />         &nbsp;&nbsp;&nbsp;         <asp:Label ID="lblResults" runat="server"></asp:Label>         </div>     </form> </body> </html>   ShowSales.aspx.cs using System; using System.Collections.Generic; using System.Linq; using System.Web; using System.Web.UI; using System.Web.UI.WebControls;   using CacheSample.BusinessObjects;   namespace CacheSample.UI {     public partial class ShowSales : System.Web.UI.Page     {         protected void Page_Load(object sender, EventArgs e)         {         }           protected void btnTest1_Click(object sender, EventArgs e)         {             System.Diagnostics.Stopwatch stopWatch = new System.Diagnostics.Stopwatch();             stopWatch.Start();               var sales = Sale.GetSales(null);               var lastSales = sales.Last();               stopWatch.Stop();               lblResults.Text = string.Format( "Count of Sales: {0}, Last DayCount: {1}, Total Sales: {2}. Query took {3} ms", sales.Count(), lastSales.DayCount, lastSales.RunningTotal, stopWatch.ElapsedMilliseconds);         }       } }   Finally we need to add a connection string to the CacheSample SQL Server database, called CacheSample, to the web.config file: <?xmlversion="1.0"?>   <configuration>    <connectionStrings>     <addname="CacheSample"          connectionString="data source=.\SQLEXPRESS;Integrated Security=SSPI;Initial Catalog=CacheSample"          providerName="System.Data.SqlClient" />  </connectionStrings>    <system.web>     <compilationdebug="true"targetFramework="4.0" />  </system.web>   </configuration>   Run the application and click the button a few times to see how long each call to the database takes. On my system, each query takes about 450ms. Next I shall look at a solution to use the ASP.NET caching to cache the data returned by the query, so that subsequent requests to the GetSales() method are much faster. Adding Data Caching Support I am going to create my caching support in a separate project called CacheSample.Caching, so the next step is to add a class library to the solution. We shall be using the application configuration to define the implementation of our caching system, so we need a reference to System.Configuration adding to the project. ICacheProvider<T> Interface The first step in adding caching to our application is to define an interface, called ICacheProvider, in the CacheSample.Caching project, with methods to retrieve any data from the cache or to retrieve the data from the data source if it is not present in the cache. Dependency Injection will then be used to inject an implementation of this interface at runtime, allowing the users of the interface (i.e. the CacheSample.BusinessObjects project) to be completely unaware of how the caching is actually implemented. As data of any type maybe retrieved from the data source, it makes sense to use generics in the interface, with a generic type parameter defining the data type associated with a particular instance of the cache interface implementation. The C# code for the ICacheProvider interface is shown below: using System; using System.Collections.Generic;   namespace CacheSample.Caching {     public interface ICacheProvider     {     }       public interface ICacheProvider<T> : ICacheProvider     {         T Fetch(string key, Func<T> retrieveData, DateTime? absoluteExpiry, TimeSpan? relativeExpiry);           IEnumerable<T> Fetch(string key, Func<IEnumerable<T>> retrieveData, DateTime? absoluteExpiry, TimeSpan? relativeExpiry);     } }   The empty non-generic interface will be used as a type in a Dictionary generic collection later to store instances of the ICacheProvider<T> implementation for reuse, I prefer to use a base interface when doing this, as I think the alternative of using object makes for less clear code. The ICacheProvider<T> interface defines two overloaded Fetch methods, the difference between these is that one will return a single instance of the type T and the other will return an IEnumerable<T>, providing support for easy caching of collections of data items. Both methods will take a key parameter, which will uniquely identify the cached data, a delegate of type Func<T> or Func<IEnumerable<T>> which will provide the code to retrieve the data from the store if it is not present in the cache, and absolute or relative expiry policies to define when a cached item should expire. Note that at present there is no support for cache dependencies, but I shall be showing a method of adding this in part two of this article. CacheProviderFactory Class We need a mechanism of creating instances of our ICacheProvider<T> interface, using Dependency Injection to get the implementation of the interface. To do this we shall create a CacheProviderFactory static class in the CacheSample.Caching project. This factory will provide a generic static method called GetCacheProvider<T>(), which shall return instances of ICacheProvider<T>. We can then call this factory method with the relevant data type (for example the Sale class in the CacheSample.BusinessObject project) to get a instance of ICacheProvider for that type (e.g. call CacheProviderFactory.GetCacheProvider<Sale>() to get the ICacheProvider<Sale> implementation). The C# code for the CacheProviderFactory is shown below: using System; using System.Collections.Generic;   using CacheSample.Caching.Configuration;   namespace CacheSample.Caching {     public static class CacheProviderFactory     {         private static Dictionary<Type, ICacheProvider> cacheProviders = new Dictionary<Type, ICacheProvider>();         private static object syncRoot = new object();           ///<summary>         /// Factory method to create or retrieve an implementation of the  /// ICacheProvider interface for type <typeparamref name="T"/>.         ///</summary>         ///<typeparam name="T">  /// The type that this cache provider instance will work with  ///</typeparam>         ///<returns>An instance of the implementation of ICacheProvider for type  ///<typeparamref name="T"/>, as specified by the application  /// configuration</returns>         public static ICacheProvider<T> GetCacheProvider<T>()         {             ICacheProvider<T> cacheProvider = null;             // Get the Type reference for the type parameter T             Type typeOfT = typeof(T);               // Lock the access to the cacheProviders dictionary             // so multiple threads can work with it             lock (syncRoot)             {                 // First check if an instance of the ICacheProvider implementation  // already exists in the cacheProviders dictionary for the type T                 if (cacheProviders.ContainsKey(typeOfT))                     cacheProvider = (ICacheProvider<T>)cacheProviders[typeOfT];                 else                 {                     // There is not already an instance of the ICacheProvider in       // cacheProviders for the type T                     // so we need to create one                       // Get the Type reference for the application's implementation of       // ICacheProvider from the configuration                     Type cacheProviderType = Type.GetType(CacheProviderConfigurationSection.Current. CacheProviderType);                     if (cacheProviderType != null)                     {                         // Now get a Type reference for the Cache Provider with the                         // type T generic parameter                         Type typeOfCacheProviderTypeForT = cacheProviderType.MakeGenericType(new Type[] { typeOfT });                         if (typeOfCacheProviderTypeForT != null)                         {                             // Create the instance of the Cache Provider and add it to // the cacheProviders dictionary for future use                             cacheProvider = (ICacheProvider<T>)Activator. CreateInstance(typeOfCacheProviderTypeForT);                             cacheProviders.Add(typeOfT, cacheProvider);                         }                     }                 }             }               return cacheProvider;                 }     } }   As this code uses Activator.CreateInstance() to create instances of the ICacheProvider<T> implementation, which is a slow process, the factory class maintains a Dictionary of the previously created instances so that a cache provider needs to be created only once for each type. The type of the implementation of ICacheProvider<T> is read from a custom configuration section in the application configuration file, via the CacheProviderConfigurationSection class, which is described below. CacheProviderConfigurationSection Class The implementation of ICacheProvider<T> will be specified in a custom configuration section in the application’s configuration. To handle this create a folder in the CacheSample.Caching project called Configuration, and add a class called CacheProviderConfigurationSection to this folder. This class will extend the System.Configuration.ConfigurationSection class, and will contain a single string property called CacheProviderType. The C# code for this class is shown below: using System; using System.Configuration;   namespace CacheSample.Caching.Configuration {     internal class CacheProviderConfigurationSection : ConfigurationSection     {         public static CacheProviderConfigurationSection Current         {             get             {                 return (CacheProviderConfigurationSection) ConfigurationManager.GetSection("cacheProvider");             }         }           [ConfigurationProperty("type", IsRequired=true)]         public string CacheProviderType         {             get             {                 return (string)this["type"];             }         }     } }   Adding Data Caching to the Sales Class We now have enough code in place to add caching to the GetSales() method in the CacheSample.BusinessObjects.Sale class, even though we do not yet have an implementation of the ICacheProvider<T> interface. We need to add a reference to the CacheSample.Caching project to CacheSample.BusinessObjects so that we can use the ICacheProvider<T> interface within the GetSales() method. Once the reference is added, we can first create a unique string key based on the method name and the parameter value, so that the same cache key is used for repeated calls to the method with the same parameter values. Then we get an instance of the cache provider for the Sales type, using the CacheProviderFactory, and pass the existing code to retrieve the data from the database as the retrievalMethod delegate in a call to the Cache Provider Fetch() method. The C# code for the modified GetSales() method is shown below: public static IEnumerable<Sale> GetSales(int? highestDayCount) {     string cacheKey = string.Format("CacheSample.BusinessObjects.GetSalesWithCache({0})", highestDayCount);       return CacheSample.Caching.CacheProviderFactory. GetCacheProvider<Sale>().Fetch(cacheKey,         delegate()         {             List<Sale> sales = new List<Sale>();               SqlParameter highestDayCountParameter = new SqlParameter("@HighestDayCount", SqlDbType.SmallInt);             if (highestDayCount.HasValue)                 highestDayCountParameter.Value = highestDayCount;             else                 highestDayCountParameter.Value = DBNull.Value;               string connectionStr = System.Configuration.ConfigurationManager. ConnectionStrings["CacheSample"].ConnectionString;               using (SqlConnection sqlConn = new SqlConnection(connectionStr))             using (SqlCommand sqlCmd = sqlConn.CreateCommand())             {                 sqlCmd.CommandText = "spGetRunningTotals";                 sqlCmd.CommandType = CommandType.StoredProcedure;                 sqlCmd.Parameters.Add(highestDayCountParameter);                   sqlConn.Open();                   using (SqlDataReader dr = sqlCmd.ExecuteReader())                 {                     while (dr.Read())                     {                         Sale newSale = new Sale();                         newSale.DayCount = dr.GetInt16(0);                         newSale.Sales = dr.GetDecimal(1);                         newSale.RunningTotal = dr.GetDecimal(2);                           sales.Add(newSale);                     }                 }             }               return sales;         },         null,         new TimeSpan(0, 10, 0)); }     This example passes the code to retrieve the Sales data from the database to the Cache Provider as an anonymous method, however it could also be written as a lambda. The main advantage of using an anonymous function (method or lambda) is that the code inside the anonymous function can access the parameters passed to the GetSales() method. Finally the absolute expiry is set to null, and the relative expiry set to 10 minutes, to indicate that the cache entry should be removed 10 minutes after the last request for the data. As the ICacheProvider<T> has a Fetch() method that returns IEnumerable<T>, we can simply return the results of the Fetch() method to the caller of the GetSales() method. This should be all that is needed for the GetSales() method to now retrieve data from a cache after the first time the data has be retrieved from the database. Implementing a ASP.NET Cache Provider The final step is to actually implement the ICacheProvider<T> interface, and add the implementation details to the web.config file for the dependency injection. The cache provider implementation needs to have access to System.Web. Therefore it could be placed in the CacheSample.UI project, or in its own project that has a reference to System.Web. Implementing the Cache Provider in a separate project is my favoured approach. Create a new project inside the solution called CacheSample.CacheProvider, and add references to System.Web and CacheSample.Caching to this project. Add a class to the project called AspNetCacheProvider. Make the class a generic class by adding the generic parameter <T> and indicate that the class implements ICacheProvider<T>. The C# code for the AspNetCacheProvider class is shown below: using System; using System.Collections.Generic; using System.Linq; using System.Web; using System.Web.Caching;   using CacheSample.Caching;   namespace CacheSample.CacheProvider {     public class AspNetCacheProvider<T> : ICacheProvider<T>     {         #region ICacheProvider<T> Members           public T Fetch(string key, Func<T> retrieveData, DateTime? absoluteExpiry, TimeSpan? relativeExpiry)         {             return FetchAndCache<T>(key, retrieveData, absoluteExpiry, relativeExpiry);         }           public IEnumerable<T> Fetch(string key, Func<IEnumerable<T>> retrieveData, DateTime? absoluteExpiry, TimeSpan? relativeExpiry)         {             return FetchAndCache<IEnumerable<T>>(key, retrieveData, absoluteExpiry, relativeExpiry);         }           #endregion           #region Helper Methods           private U FetchAndCache<U>(string key, Func<U> retrieveData, DateTime? absoluteExpiry, TimeSpan? relativeExpiry)         {             U value;             if (!TryGetValue<U>(key, out value))             {                 value = retrieveData();                 if (!absoluteExpiry.HasValue)                     absoluteExpiry = Cache.NoAbsoluteExpiration;                   if (!relativeExpiry.HasValue)                     relativeExpiry = Cache.NoSlidingExpiration;                   HttpContext.Current.Cache.Insert(key, value, null, absoluteExpiry.Value, relativeExpiry.Value);             }             return value;         }           private bool TryGetValue<U>(string key, out U value)         {             object cachedValue = HttpContext.Current.Cache.Get(key);             if (cachedValue == null)             {                 value = default(U);                 return false;             }             else             {                 try                 {                     value = (U)cachedValue;                     return true;                 }                 catch                 {                     value = default(U);                     return false;                 }             }         }           #endregion       } }   The two interface Fetch() methods call a private method called FetchAndCache(). This method first checks for a element in the HttpContext.Current.Cache with the specified cache key, and if so tries to cast this to the specified type (either T or IEnumerable<T>). If the cached element is found, the FetchAndCache() method simply returns it. If it is not found in the cache, the method calls the retrievalMethod delegate to get the data from the data source, and then adds this to the HttpContext.Current.Cache. The final step is to add the AspNetCacheProvider class to the relevant custom configuration section in the CacheSample.UI.Web.Config file. To do this there needs to be a <configSections> element added as the first element in <configuration>. This will match a custom section called <cacheProvider> with the CacheProviderConfigurationSection. Then we add a <cacheProvider> element, with a type property set to the fully qualified assembly name of the AspNetCacheProvider class, as shown below: <?xmlversion="1.0"?>   <configuration>  <configSections>     <sectionname="cacheProvider" type="CacheSample.Base.Configuration.CacheProviderConfigurationSection, CacheSample.Base" />  </configSections>    <connectionStrings>     <addname="CacheSample"          connectionString="data source=.\SQLEXPRESS;Integrated Security=SSPI;Initial Catalog=CacheSample"          providerName="System.Data.SqlClient" />  </connectionStrings>    <cacheProvidertype="CacheSample.CacheProvider.AspNetCacheProvider`1, CacheSample.CacheProvider, Version=1.0.0.0, Culture=neutral, PublicKeyToken=null">  </cacheProvider>    <system.web>     <compilationdebug="true"targetFramework="4.0" />  </system.web>   </configuration>   One point to note is that the fully qualified assembly name of the AspNetCacheProvider class includes the notation `1 after the class name, which indicates that it is a generic class with a single generic type parameter. The CacheSample.UI project needs to have references added to CacheSample.Caching and CacheSample.CacheProvider so that the actual application is aware of the relevant cache provider implementation. Conclusion After implementing this solution, you should have a working cache provider mechanism, that will allow the middle and data access layers to implement caching support when retrieving data, without any knowledge of the actually caching implementation. If the UI is not ASP.NET based, if for example it is Winforms or WPF, the implementation of ICacheProvider<T> would be written around whatever technology is available. It could even be a standalone caching system that takes full responsibility for adding and removing items from a global store. The next part of this article will show how this caching mechanism may be extended to provide support for cache dependencies, such as the System.Web.Caching.SqlCacheDependency. Another possible extension would be to cache the cache provider implementations instead of storing them in a static Dictionary in the CacheProviderFactory. This would prevent a build up of seldom used cache providers in the application memory, as they could be removed from the cache if not used often enough, although in reality there are probably unlikely to be vast numbers of cache provider implementation instances, as most applications do not have a massive number of business object or model types.

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  • Where am I going wrong in my Xml Schema?

    - by chobo2
    Hi I am trying to make a XML Schema but everytime I use it and try to validate my data I get an error. I get this error: Validation of the XML Document failed! Error message(s): Could not find schema information for the element 'Email'. Line: 1 Column:1213 http://www.xmlforasp.net/SchemaValidator.aspx My Xml file I am trying to validate. <?xml version="1.0" encoding="utf-8" ?> <School> <SchoolPrefix>BCIT</SchoolPrefix> <TeacherAccounts> <Account> <StudentNumber>A00140000</StudentNumber> <Password>123456</Password> <Email>[email protected]</Email> </Account> <Account> <StudentNumber>A00000041</StudentNumber> <Password>1234567</Password> <Email>[email protected]</Email> </Account> <Account> <StudentNumber>A0400100</StudentNumber> <Password>1234567</Password> <Email>[email protected]</Email> </Account> </TeacherAccounts> <FullTimeAccounts> <Account> <StudentNumber>A00000000</StudentNumber> <Password>1234567</Password> <Email>[email protected]</Email> </Account> <Account> <StudentNumber>A00141000</StudentNumber> <Password>1234567</Password> <Email>[email protected]</Email> </Account> </FullTimeAccounts> <PartTimeAccounts> <Account> <StudentNumber>A81020409</StudentNumber> <Password>1234567</Password> <Email>[email protected]</Email> </Account> <Account> <StudentNumber>A040014000</StudentNumber> <Password>1234567</Password> <Email>[email protected]</Email> </Account> <Account> <StudentNumber>A00024040</StudentNumber> <Password>1234567</Password> <Email>[email protected]</Email> </Account> <Account> <StudentNumber>A00004101</StudentNumber> <Password>1234567</Password> <Email>[email protected]</Email> </Account> </PartTimeAccounts> </School> XMl Schema <?xml version="1.0" encoding="utf-8"?> <xs:schema xmlns:xs="http://www.w3.org/2001/XMLSchema" targetNamespace="http://www.nothing.com" xmlns="http://www.nothing.com" elementFormDefault="qualified"> <xs:element name="School"> <xs:complexType> <xs:sequence> <xs:element name="SchoolPrefix" minOccurs="1" maxOccurs="1"> <xs:simpleType> <xs:restriction base="xs:string"> <xs:minLength value="2" /> <xs:maxLength value="8" /> </xs:restriction> </xs:simpleType> </xs:element> <xs:element name="TeacherAccounts" minOccurs="1" maxOccurs="1"> <xs:complexType> <xs:sequence> <xs:element name="Account" type="UserInfo" minOccurs="0" maxOccurs="unbounded" /> </xs:sequence> </xs:complexType> </xs:element> <xs:element name="FullTimeAccounts"> <xs:complexType> <xs:sequence> <xs:element name="Account" type="UserInfo" minOccurs="0" maxOccurs="unbounded"/> </xs:sequence> </xs:complexType> </xs:element> <xs:element name="PartTimeAccounts"> <xs:complexType> <xs:sequence> <xs:element name="Account" type="UserInfo" minOccurs="0" maxOccurs="unbounded" /> </xs:sequence> </xs:complexType> </xs:element> </xs:sequence> </xs:complexType> </xs:element> <xs:complexType name="UserInfo"> <xs:sequence> <xs:element name="StudentNumber"> <xs:simpleType> <xs:restriction base="xs:string"> <xs:minLength value="1"/> <xs:maxLength value="50"/> </xs:restriction> </xs:simpleType> </xs:element> <xs:element name="Password"> <xs:simpleType> <xs:restriction base="xs:string"> <xs:minLength value="6"/> <xs:maxLength value="50"/> </xs:restriction> </xs:simpleType> </xs:element> <xs:element name="Email"> <xs:simpleType> <xs:restriction base="xs:string"> <xs:pattern value="\w+([-+.']\w+)*@\w+([-.]\w+)*\.\w+([-.]\w+)*"/> </xs:restriction> </xs:simpleType> </xs:element> </xs:sequence> </xs:complexType> </xs:schema>

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  • Array help Index out of range exeption was unhandled

    - by Michael Quiles
    I am trying to populate combo boxes from a text file using comma as a delimiter everything was working fine, but now when I debug I get the "Index out of range exeption was unhandled" warning. I guess I need a fresh pair of eyes to see where I went wrong, I commented on the line that gets the error //Fname = fields[1]; using System; using System.Collections.Generic; using System.ComponentModel; using System.Data; using System.Drawing; using System.Drawing.Printing; using System.Linq; using System.Text; using System.Windows.Forms; using System.IO; namespace Sullivan_Payroll { public partial class xEmpForm : Form { bool complete = false; public xEmpForm() { InitializeComponent(); } private void xEmpForm_Resize(object sender, EventArgs e) { this.xCenterPanel.Left = Convert.ToInt16((this.Width - this.xCenterPanel.Width) / 2); this.xCenterPanel.Top = Convert.ToInt16((this.Height - this.xCenterPanel.Height) / 2); Refresh(); } private void exitToolStripMenuItem_Click(object sender, EventArgs e) { //Exits the application this.Close(); } private void xEmpForm_FormClosing(object sender, FormClosingEventArgs e) //use this on xtrip calculator { DialogResult Response; if (complete == true) { Application.Exit(); } else { Response = MessageBox.Show("Are you sure you want to Exit?", "Exit", MessageBoxButtons.YesNo, MessageBoxIcon.Question, MessageBoxDefaultButton.Button2); if (Response == DialogResult.No) { complete = false; e.Cancel = true; } else { complete = true; Application.Exit(); } } } private void xEmpForm_Load(object sender, EventArgs e) { //file sources string fileDept = "source\\Department.txt"; string fileSex = "source\\Sex.txt"; string fileStatus = "source\\Status.txt"; if (File.Exists(fileDept)) { using (System.IO.StreamReader sr = System.IO.File.OpenText(fileDept)) { string dept = ""; while ((dept = sr.ReadLine()) != null) { this.xDeptComboBox.Items.Add(dept); } } } else { MessageBox.Show("The Department file can not be found.", "Error", MessageBoxButtons.OK, MessageBoxIcon.Error); } if (File.Exists(fileSex)) { using (System.IO.StreamReader sr = System.IO.File.OpenText(fileSex)) { string sex = ""; while ((sex = sr.ReadLine()) != null) { this.xSexComboBox.Items.Add(sex); } } } else { MessageBox.Show("The Sex file can not be found.", "Error", MessageBoxButtons.OK, MessageBoxIcon.Error); } if (File.Exists(fileStatus)) { using (System.IO.StreamReader sr = System.IO.File.OpenText(fileStatus)) { string status = ""; while ((status = sr.ReadLine()) != null) { this.xStatusComboBox.Items.Add(status); } } } else { MessageBox.Show("The Status file can not be found.", "Error", MessageBoxButtons.OK, MessageBoxIcon.Error); } } private void xFileSaveMenuItem_Click(object sender, EventArgs e) { { const string fileNew = "source\\New Staff.txt"; string recordIn; FileStream outFile = new FileStream(fileNew, FileMode.Create, FileAccess.Write); StreamWriter writer = new StreamWriter(outFile); for (int count = 0; count <= this.xEmployeeListBox.Items.Count - 1; count++) { this.xEmployeeListBox.SelectedIndex = count; recordIn = this.xEmployeeListBox.SelectedItem.ToString(); writer.WriteLine(recordIn); } writer.Close(); outFile.Close(); this.xDeptComboBox.SelectedIndex = -1; this.xStatusComboBox.SelectedIndex = -1; this.xSexComboBox.SelectedIndex = -1; MessageBox.Show("your file is saved"); } } private void xViewFacultyMenuItem_Click(object sender, EventArgs e) { const string fileStaff = "source\\Staff.txt"; const char DELIM = ','; string Lname, Fname, Depart, Stat, Sex, Salary, cDept, cStat, cSex; double Gtotal; string recordIn; string[] fields; cDept = this.xDeptComboBox.SelectedItem.ToString(); cStat = this.xStatusComboBox.SelectedItem.ToString(); cSex = this.xSexComboBox.SelectedItem.ToString(); FileStream inFile = new FileStream(fileStaff, FileMode.Open, FileAccess.Read); StreamReader reader = new StreamReader(inFile); recordIn = reader.ReadLine(); while (recordIn != null) { fields = recordIn.Split(DELIM); Lname = fields[0]; Fname = fields[1]; // this is where the error appears Depart = fields[2]; Stat = fields[3]; Sex = fields[4]; Salary = fields[5]; Fname = fields[1].TrimStart(null); Depart = fields[2].TrimStart(null); Stat = fields[3].TrimStart(null); Sex = fields[4].TrimStart(null); Salary = fields[5].TrimStart(null); Gtotal = double.Parse(Salary); if (Depart == cDept && cStat == Stat && cSex == Sex) { this.xEmployeeListBox.Items.Add(recordIn); } recordIn = reader.ReadLine(); } reader.Close(); inFile.Close(); if (this.xEmployeeListBox.Items.Count >= 1) { this.xFileSaveMenuItem.Enabled = true; this.xFilePrintMenuItem.Enabled = true; this.xEditClearMenuItem.Enabled = true; } else { this.xFileSaveMenuItem.Enabled = false; this.xFilePrintMenuItem.Enabled = false; this.xEditClearMenuItem.Enabled = false; MessageBox.Show("Records not found"); } } private void xEditClearMenuItem_Click(object sender, EventArgs e) { this.xEmployeeListBox.Items.Clear(); this.xDeptComboBox.SelectedIndex = -1; this.xStatusComboBox.SelectedIndex = -1; this.xSexComboBox.SelectedIndex = -1; this.xFileSaveMenuItem.Enabled = false; this.xFilePrintMenuItem.Enabled = false; this.xEditClearMenuItem.Enabled = false; } } } Source file -- Anderson, Kristen, Accounting, Assistant, Female, 43155 Ball, Robin, Accounting, Instructor, Female, 42723 Chin, Roger, Accounting, Full, Male,59281 Coats, William, Accounting, Assistant, Male, 45371 Doepke, Cheryl, Accounting, Full, Female, 52105 Downs, Clifton, Accounting, Associate, Male, 46887 Garafano, Karen, Finance, Associate, Female, 49000 Hill, Trevor, Management, Instructor, Male, 38590 Jackson, Carole, Accounting, Instructor, Female, 38781 Jacobson, Andrew, Management, Full, Male, 56281 Lewis, Karl, Management, Associate, Male, 48387 Mack, Kevin, Management, Assistant, Male, 45000 McKaye, Susan, Management, Instructor, Female, 43979 Nelsen, Beth, Finance, Full, Female, 52339 Nelson, Dale, Accounting, Full, Male, 54578 Palermo, Sheryl, Accounting, Associate, Female, 45617 Rais, Mary, Finance, Instructor, Female, 27000 Scheib, Earl, Management, Instructor, Male, 37389 Smith, Tom, Finance, Full, Male, 57167 Smythe, Janice, Management, Associate, Female, 46887 True, David, Accounting, Full, Male, 53181 Young, Jeff, Management, Assistant, Male, 43513

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  • video and file caching with squid lusca?

    - by moon
    hello all i have configured squid lusca on ubuntu 11.04 version and also configured the video caching but the problem is the squid cannot configure the video more than 2 min long and the file of size upto 5.xx mbs only. here is my config please guide me how can i cache the long videos and files with squid: > # PORT and Transparent Option http_port 8080 transparent server_http11 on icp_port 0 > > # Cache Directory , modify it according to your system. > # but first create directory in root by mkdir /cache1 > # and then issue this command chown proxy:proxy /cache1 > # [for ubuntu user is proxy, in Fedora user is SQUID] > # I have set 500 MB for caching reserved just for caching , > # adjust it according to your need. > # My recommendation is to have one cache_dir per drive. zzz > > #store_dir_select_algorithm round-robin cache_dir aufs /cache1 500 16 256 cache_replacement_policy heap LFUDA memory_replacement_policy heap > LFUDA > > # If you want to enable DATE time n SQUID Logs,use following emulate_httpd_log on logformat squid %tl %6tr %>a %Ss/%03Hs %<st %rm > %ru %un %Sh/%<A %mt log_fqdn off > > # How much days to keep users access web logs > # You need to rotate your log files with a cron job. For example: > # 0 0 * * * /usr/local/squid/bin/squid -k rotate logfile_rotate 14 debug_options ALL,1 cache_access_log /var/log/squid/access.log > cache_log /var/log/squid/cache.log cache_store_log > /var/log/squid/store.log > > #I used DNSAMSQ service for fast dns resolving > #so install by using "apt-get install dnsmasq" first dns_nameservers 127.0.0.1 101.11.11.5 ftp_user anonymous@ ftp_list_width 32 ftp_passive on ftp_sanitycheck on > > #ACL Section acl all src 0.0.0.0/0.0.0.0 acl manager proto cache_object acl localhost src 127.0.0.1/255.255.255.255 acl > to_localhost dst 127.0.0.0/8 acl SSL_ports port 443 563 # https, snews > acl SSL_ports port 873 # rsync acl Safe_ports port 80 # http acl > Safe_ports port 21 # ftp acl Safe_ports port 443 563 # https, snews > acl Safe_ports port 70 # gopher acl Safe_ports port 210 # wais acl > Safe_ports port 1025-65535 # unregistered ports acl Safe_ports port > 280 # http-mgmt acl Safe_ports port 488 # gss-http acl Safe_ports port > 591 # filemaker acl Safe_ports port 777 # multiling http acl > Safe_ports port 631 # cups acl Safe_ports port 873 # rsync acl > Safe_ports port 901 # SWAT acl purge method PURGE acl CONNECT method > CONNECT http_access allow manager localhost http_access deny manager > http_access allow purge localhost http_access deny purge http_access > deny !Safe_ports http_access deny CONNECT !SSL_ports http_access allow > localhost http_access allow all http_reply_access allow all icp_access > allow all > > #========================== > # Administrative Parameters > #========================== > > # I used UBUNTU so user is proxy, in FEDORA you may use use squid cache_effective_user proxy cache_effective_group proxy cache_mgr > [email protected] visible_hostname proxy.aacable.net unique_hostname > [email protected] > > #============= > # ACCELERATOR > #============= half_closed_clients off quick_abort_min 0 KB quick_abort_max 0 KB vary_ignore_expire on reload_into_ims on log_fqdn > off memory_pools off > > # If you want to hide your proxy machine from being detected at various site use following via off > > #============================================ > # OPTIONS WHICH AFFECT THE CACHE SIZE / zaib > #============================================ > # If you have 4GB memory in Squid box, we will use formula of 1/3 > # You can adjust it according to your need. IF squid is taking too much of RAM > # Then decrease it to 128 MB or even less. > > cache_mem 256 MB minimum_object_size 512 bytes maximum_object_size 500 > MB maximum_object_size_in_memory 128 KB > > #============================================================$ > # SNMP , if you want to generate graphs for SQUID via MRTG > #============================================================$ > #acl snmppublic snmp_community gl > #snmp_port 3401 > #snmp_access allow snmppublic all > #snmp_access allow all > > #============================================================ > # ZPH , To enable cache content to be delivered at full lan speed, > # To bypass the queue at MT. > #============================================================ tcp_outgoing_tos 0x30 all zph_mode tos zph_local 0x30 zph_parent 0 > zph_option 136 > > # Caching Youtube acl videocache_allow_url url_regex -i \.youtube\.com\/get_video\? acl videocache_allow_url url_regex -i > \.youtube\.com\/videoplayback \.youtube\.com\/videoplay > \.youtube\.com\/get_video\? acl videocache_allow_url url_regex -i > \.youtube\.[a-z][a-z]\/videoplayback \.youtube\.[a-z][a-z]\/videoplay > \.youtube\.[a-z][a-z]\/get_video\? acl videocache_allow_url url_regex > -i \.googlevideo\.com\/videoplayback \.googlevideo\.com\/videoplay \.googlevideo\.com\/get_video\? acl videocache_allow_url url_regex -i > \.google\.com\/videoplayback \.google\.com\/videoplay > \.google\.com\/get_video\? acl videocache_allow_url url_regex -i > \.google\.[a-z][a-z]\/videoplayback \.google\.[a-z][a-z]\/videoplay > \.google\.[a-z][a-z]\/get_video\? acl videocache_allow_url url_regex > -i proxy[a-z0-9\-][a-z0-9][a-z0-9][a-z0-9]?\.dailymotion\.com\/ acl videocache_allow_url url_regex -i vid\.akm\.dailymotion\.com\/ acl > videocache_allow_url url_regex -i > [a-z0-9][0-9a-z][0-9a-z]?[0-9a-z]?[0-9a-z]?\.xtube\.com\/(.*)flv acl > videocache_allow_url url_regex -i \.vimeo\.com\/(.*)\.(flv|mp4) acl > videocache_allow_url url_regex -i > va\.wrzuta\.pl\/wa[0-9][0-9][0-9][0-9]? acl videocache_allow_url > url_regex -i \.youporn\.com\/(.*)\.flv acl videocache_allow_url > url_regex -i \.msn\.com\.edgesuite\.net\/(.*)\.flv acl > videocache_allow_url url_regex -i \.tube8\.com\/(.*)\.(flv|3gp) acl > videocache_allow_url url_regex -i \.mais\.uol\.com\.br\/(.*)\.flv acl > videocache_allow_url url_regex -i > \.blip\.tv\/(.*)\.(flv|avi|mov|mp3|m4v|mp4|wmv|rm|ram|m4v) acl > videocache_allow_url url_regex -i > \.apniisp\.com\/(.*)\.(flv|avi|mov|mp3|m4v|mp4|wmv|rm|ram|m4v) acl > videocache_allow_url url_regex -i \.break\.com\/(.*)\.(flv|mp4) acl > videocache_allow_url url_regex -i redtube\.com\/(.*)\.flv acl > videocache_allow_dom dstdomain .mccont.com .metacafe.com > .cdn.dailymotion.com acl videocache_deny_dom dstdomain > .download.youporn.com .static.blip.tv acl dontrewrite url_regex > redbot\.org \.php acl getmethod method GET > > storeurl_access deny dontrewrite storeurl_access deny !getmethod > storeurl_access deny videocache_deny_dom storeurl_access allow > videocache_allow_url storeurl_access allow videocache_allow_dom > storeurl_access deny all > > storeurl_rewrite_program /etc/squid/storeurl.pl > storeurl_rewrite_children 7 storeurl_rewrite_concurrency 10 > > acl store_rewrite_list urlpath_regex -i > \/(get_video\?|videodownload\?|videoplayback.*id) acl > store_rewrite_list urlpath_regex -i \.flv$ \.mp3$ \.mp4$ \.swf$ \ > storeurl_access allow store_rewrite_list storeurl_access deny all > > refresh_pattern -i \.flv$ 10080 80% 10080 override-expire > override-lastmod reload-into-ims ignore-reload ignore-no-cache > ignore-private ignore-auth refresh_pattern -i \.mp3$ 10080 80% 10080 > override-expire override-lastmod reload-into-ims ignore-reload > ignore-no-cache ignore-private ignore-auth refresh_pattern -i \.mp4$ > 10080 80% 10080 override-expire override-lastmod reload-into-ims > ignore-reload ignore-no-cache ignore-private ignore-auth > refresh_pattern -i \.swf$ 10080 80% 10080 override-expire > override-lastmod reload-into-ims ignore-reload ignore-no-cache > ignore-private ignore-auth refresh_pattern -i \.gif$ 10080 80% 10080 > override-expire override-lastmod reload-into-ims ignore-reload > ignore-no-cache ignore-private ignore-auth refresh_pattern -i \.jpg$ > 10080 80% 10080 override-expire override-lastmod reload-into-ims > ignore-reload ignore-no-cache ignore-private ignore-auth > refresh_pattern -i \.jpeg$ 10080 80% 10080 override-expire > override-lastmod reload-into-ims ignore-reload ignore-no-cache > ignore-private ignore-auth refresh_pattern -i \.exe$ 10080 80% 10080 > override-expire override-lastmod reload-into-ims ignore-reload > ignore-no-cache ignore-private ignore-auth > > # 1 year = 525600 mins, 1 month = 10080 mins, 1 day = 1440 refresh_pattern (get_video\?|videoplayback\?|videodownload\?|\.flv?) > 10080 80% 10080 ignore-no-cache ignore-private override-expire > override-lastmod reload-into-ims refresh_pattern > (get_video\?|videoplayback\?id|videoplayback.*id|videodownload\?|\.flv?) > 10080 80% 10080 ignore-no-cache ignore-private override-expire > override-lastmod reload-into-ims refresh_pattern \.(ico|video-stats) > 10080 80% 10080 override-expire ignore-reload ignore-no-cache > ignore-private ignore-auth override-lastmod negative-ttl=10080 > refresh_pattern \.etology\? 10080 > 80% 10080 override-expire ignore-reload ignore-no-cache > refresh_pattern galleries\.video(\?|sz) 10080 > 80% 10080 override-expire ignore-reload ignore-no-cache > refresh_pattern brazzers\? 10080 > 80% 10080 override-expire ignore-reload ignore-no-cache > refresh_pattern \.adtology\? 10080 > 80% 10080 override-expire ignore-reload ignore-no-cache > refresh_pattern > ^.*(utm\.gif|ads\?|rmxads\.com|ad\.z5x\.net|bh\.contextweb\.com|bstats\.adbrite\.com|a1\.interclick\.com|ad\.trafficmp\.com|ads\.cubics\.com|ad\.xtendmedia\.com|\.googlesyndication\.com|advertising\.com|yieldmanager|game-advertising\.com|pixel\.quantserve\.com|adperium\.com|doubleclick\.net|adserving\.cpxinteractive\.com|syndication\.com|media.fastclick.net).* > 10080 20% 10080 ignore-no-cache ignore-private override-expire > ignore-reload ignore-auth negative-ttl=40320 max-stale=10 > refresh_pattern ^.*safebrowsing.*google 10080 80% 10080 > override-expire ignore-reload ignore-no-cache ignore-private > ignore-auth negative-ttl=10080 refresh_pattern > ^http://((cbk|mt|khm|mlt)[0-9]?)\.google\.co(m|\.uk) 10080 80% > 10080 override-expire ignore-reload ignore-private negative-ttl=10080 > refresh_pattern ytimg\.com.*\.jpg > 10080 80% 10080 override-expire ignore-reload refresh_pattern > images\.friendster\.com.*\.(png|gif) 10080 80% > 10080 override-expire ignore-reload refresh_pattern garena\.com > 10080 80% 10080 override-expire reload-into-ims refresh_pattern > photobucket.*\.(jp(e?g|e|2)|tiff?|bmp|gif|png) 10080 80% > 10080 override-expire ignore-reload refresh_pattern > vid\.akm\.dailymotion\.com.*\.on2\? 10080 80% > 10080 ignore-no-cache override-expire override-lastmod refresh_pattern > mediafire.com\/images.*\.(jp(e?g|e|2)|tiff?|bmp|gif|png) 10080 80% > 10080 reload-into-ims override-expire ignore-private refresh_pattern > ^http:\/\/images|pics|thumbs[0-9]\. 10080 80% > 10080 reload-into-ims ignore-no-cache ignore-reload override-expire > refresh_pattern ^http:\/\/www.onemanga.com.*\/ > 10080 80% 10080 reload-into-ims ignore-no-cache ignore-reload > override-expire refresh_pattern > ^http://v\.okezone\.com/get_video\/([a-zA-Z0-9]) 10080 80% 10080 > override-expire ignore-reload ignore-no-cache ignore-private > ignore-auth override-lastmod negative-ttl=10080 > > #images facebook refresh_pattern -i \.facebook.com.*\.(jpg|png|gif) 10080 80% 10080 ignore-reload override-expire ignore-no-cache > refresh_pattern -i \.fbcdn.net.*\.(jpg|gif|png|swf|mp3) > 10080 80% 10080 ignore-reload override-expire ignore-no-cache > refresh_pattern static\.ak\.fbcdn\.net*\.(jpg|gif|png) > 10080 80% 10080 ignore-reload override-expire ignore-no-cache > refresh_pattern ^http:\/\/profile\.ak\.fbcdn.net*\.(jpg|gif|png) > 10080 80% 10080 ignore-reload override-expire ignore-no-cache > > #All File refresh_pattern -i \.(3gp|7z|ace|asx|bin|deb|divx|dvr-ms|ram|rpm|exe|inc|cab|qt) > 10080 80% 10080 ignore-no-cache override-expire override-lastmod > reload-into-ims refresh_pattern -i > \.(rar|jar|gz|tgz|bz2|iso|m1v|m2(v|p)|mo(d|v)|arj|lha|lzh|zip|tar) > 10080 80% 10080 ignore-no-cache override-expire override-lastmod > reload-into-ims refresh_pattern -i > \.(jp(e?g|e|2)|gif|pn[pg]|bm?|tiff?|ico|swf|dat|ad|txt|dll) > 10080 80% 10080 ignore-no-cache override-expire override-lastmod > reload-into-ims refresh_pattern -i > \.(avi|ac4|mp(e?g|a|e|1|2|3|4)|mk(a|v)|ms(i|u|p)|og(x|v|a|g)|rm|r(a|p)m|snd|vob) > 10080 80% 10080 ignore-no-cache override-expire override-lastmod > reload-into-ims refresh_pattern -i > \.(pp(t?x)|s|t)|pdf|rtf|wax|wm(a|v)|wmx|wpl|cb(r|z|t)|xl(s?x)|do(c?x)|flv|x-flv) > 10080 80% 10080 ignore-no-cache override-expire override-lastmod > reload-into-ims > > refresh_pattern -i (/cgi-bin/|\?) 0 0% 0 refresh_pattern ^gopher: > 1440 0% 1440 refresh_pattern ^ftp: 10080 95% 10080 > override-lastmod reload-into-ims refresh_pattern . 1440 > 95% 10080 override-lastmod reload-into-ims

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