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  • Do Search Engine Optimization Techniques Really Boost Your Network Traffic?

    As everyone knows internet has become the best place to get all the required information. With a simple search engine query you could get list of web pages where you could get the information you are looking out for. Also, it is a very common attitude of all of us that we would like to go with the websites which are listed in the top of the search results. So, it is very important for those websites involved in that business to get their web page listed in the top position of the search results so that they could make the users looking out for the related information to get into their website.

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  • What Makes an Effective Search Engine Optimization Marketing Campaign?

    In the recent years, the Internet has increasingly become popular as a marketing tool. More so, it even gives traditional marketing and advertising channels a run for their money because of its ability to attract millions of customers. This fact can be attributed to the growing number of Internet users around the world who look for information online.

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  • ??????Oracle Service Cloud??

    - by hamsun
    Adriana Garjoaba,Oracle,2014?5?16? Normal 0 21 false false false EN-US ZH-CN X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:????; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;} ? ?:Sarah Anderson Normal 0 21 false false false EN-US ZH-CN X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:????; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;} Oracle Service Cloud? ???????????????,??????????????????,??????????????????,?????? ???,????????????? ????Oracle Service Cloud????????????——????????,??“?? ????????”,“?????????,???????????”,“???????????????”,???????? ??! ??,? ????,????????????????????,??????????????????????????,??????? ??,??????????????? ?? ???? ???????https://cx.rightnow.com/(??????????)???“5167”,????Answer ID 5167 ,?????GA??(2014?2?)???2008?8????????,??????????????????? ???????(??:Customer Portal Framework ??????),?????????? ???? ????,????????????????????????????????????????,????2011?????????,????????2014????????! ??,? ?????????????????,????????????(???????????,????????????????? ?????????????????????????????????????????????,??????????,?????????????),??,? ??????????????,????HMS(????????)?????????????????? ?HMS,?????????????????,????????? ????????????,???????????????? ?? ???? ?????????????,????????????????????????,????????????????????? ?????,??“??”????????????????,???????????,????????????????“?? ????”,?????????——????????????????? Normal 0 21 false false false EN-US ZH-CN X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:????; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;} ? ????3? ????: Normal 0 21 false false false EN-US ZH-CN X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:????; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;} ???????????? Normal 0 21 false false false EN-US ZH-CN X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:????; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;} ?????? ????????(SUN)??? v\:* {behavior:url(#default#VML);} o\:* {behavior:url(#default#VML);}w\:* {behavior:url(#default#VML);} .shape {behavior:url(#default#VML);} Normal 0 false 21 false false false EN-US ZH-CN X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:????; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;} ? ?16????????,??????????????,??????????? ?! ????????,????????????????/?????,???????????????? ??????????? ??????????????????“??????????”????????????:??????????,? ???????????????????????Answer ID 1925? ????????????,?????:??????????????????????????????????????? ???,???????????????????,??????????????????????,???? ????????????? ???????????????????????????????????,??????????????????? ????????????????????????????? ????,????????????,????????????????????????,???????????? ???,????????????????,???????????? ? ???????????: o ? ????? o ?????????,? ?????????????????????????“???” o ?UMS??????? o ? ? o ????????? ? ???: Sarah Anderson?RightNow? ???4??????,????????????????????? ?????????????,????Oracle RightNow? ?: o RightNow Customer Service Administration o RightNow Analytics o RightNow Customer Portal Designer and Contact Center Experience Designer Administration o RightNow Marketing and Feedback ??RightNow????? RightNow??????????????,????????????????????? ????????RightNow??,?????????????????????,????????????,???????

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  • Upload File to Windows Azure Blob in Chunks through ASP.NET MVC, JavaScript and HTML5

    - by Shaun
    Originally posted on: http://geekswithblogs.net/shaunxu/archive/2013/07/01/upload-file-to-windows-azure-blob-in-chunks-through-asp.net.aspxMany people are using Windows Azure Blob Storage to store their data in the cloud. Blob storage provides 99.9% availability with easy-to-use API through .NET SDK and HTTP REST. For example, we can store JavaScript files, images, documents in blob storage when we are building an ASP.NET web application on a Web Role in Windows Azure. Or we can store our VHD files in blob and mount it as a hard drive in our cloud service. If you are familiar with Windows Azure, you should know that there are two kinds of blob: page blob and block blob. The page blob is optimized for random read and write, which is very useful when you need to store VHD files. The block blob is optimized for sequential/chunk read and write, which has more common usage. Since we can upload block blob in blocks through BlockBlob.PutBlock, and them commit them as a whole blob with invoking the BlockBlob.PutBlockList, it is very powerful to upload large files, as we can upload blocks in parallel, and provide pause-resume feature. There are many documents, articles and blog posts described on how to upload a block blob. Most of them are focus on the server side, which means when you had received a big file, stream or binaries, how to upload them into blob storage in blocks through .NET SDK.  But the problem is, how can we upload these large files from client side, for example, a browser. This questioned to me when I was working with a Chinese customer to help them build a network disk production on top of azure. The end users upload their files from the web portal, and then the files will be stored in blob storage from the Web Role. My goal is to find the best way to transform the file from client (end user’s machine) to the server (Web Role) through browser. In this post I will demonstrate and describe what I had done, to upload large file in chunks with high speed, and save them as blocks into Windows Azure Blob Storage.   Traditional Upload, Works with Limitation The simplest way to implement this requirement is to create a web page with a form that contains a file input element and a submit button. 1: @using (Html.BeginForm("About", "Index", FormMethod.Post, new { enctype = "multipart/form-data" })) 2: { 3: <input type="file" name="file" /> 4: <input type="submit" value="upload" /> 5: } And then in the backend controller, we retrieve the whole content of this file and upload it in to the blob storage through .NET SDK. We can split the file in blocks and upload them in parallel and commit. The code had been well blogged in the community. 1: [HttpPost] 2: public ActionResult About(HttpPostedFileBase file) 3: { 4: var container = _client.GetContainerReference("test"); 5: container.CreateIfNotExists(); 6: var blob = container.GetBlockBlobReference(file.FileName); 7: var blockDataList = new Dictionary<string, byte[]>(); 8: using (var stream = file.InputStream) 9: { 10: var blockSizeInKB = 1024; 11: var offset = 0; 12: var index = 0; 13: while (offset < stream.Length) 14: { 15: var readLength = Math.Min(1024 * blockSizeInKB, (int)stream.Length - offset); 16: var blockData = new byte[readLength]; 17: offset += stream.Read(blockData, 0, readLength); 18: blockDataList.Add(Convert.ToBase64String(BitConverter.GetBytes(index)), blockData); 19:  20: index++; 21: } 22: } 23:  24: Parallel.ForEach(blockDataList, (bi) => 25: { 26: blob.PutBlock(bi.Key, new MemoryStream(bi.Value), null); 27: }); 28: blob.PutBlockList(blockDataList.Select(b => b.Key).ToArray()); 29:  30: return RedirectToAction("About"); 31: } This works perfect if we selected an image, a music or a small video to upload. But if I selected a large file, let’s say a 6GB HD-movie, after upload for about few minutes the page will be shown as below and the upload will be terminated. In ASP.NET there is a limitation of request length and the maximized request length is defined in the web.config file. It’s a number which less than about 4GB. So if we want to upload a really big file, we cannot simply implement in this way. Also, in Windows Azure, a cloud service network load balancer will terminate the connection if exceed the timeout period. From my test the timeout looks like 2 - 3 minutes. Hence, when we need to upload a large file we cannot just use the basic HTML elements. Besides the limitation mentioned above, the simple HTML file upload cannot provide rich upload experience such as chunk upload, pause and pause-resume. So we need to find a better way to upload large file from the client to the server.   Upload in Chunks through HTML5 and JavaScript In order to break those limitation mentioned above we will try to upload the large file in chunks. This takes some benefit to us such as - No request size limitation: Since we upload in chunks, we can define the request size for each chunks regardless how big the entire file is. - No timeout problem: The size of chunks are controlled by us, which means we should be able to make sure request for each chunk upload will not exceed the timeout period of both ASP.NET and Windows Azure load balancer. It was a big challenge to upload big file in chunks until we have HTML5. There are some new features and improvements introduced in HTML5 and we will use them to implement our solution.   In HTML5, the File interface had been improved with a new method called “slice”. It can be used to read part of the file by specifying the start byte index and the end byte index. For example if the entire file was 1024 bytes, file.slice(512, 768) will read the part of this file from the 512nd byte to 768th byte, and return a new object of interface called "Blob”, which you can treat as an array of bytes. In fact,  a Blob object represents a file-like object of immutable, raw data. The File interface is based on Blob, inheriting blob functionality and expanding it to support files on the user's system. For more information about the Blob please refer here. File and Blob is very useful to implement the chunk upload. We will use File interface to represent the file the user selected from the browser and then use File.slice to read the file in chunks in the size we wanted. For example, if we wanted to upload a 10MB file with 512KB chunks, then we can read it in 512KB blobs by using File.slice in a loop.   Assuming we have a web page as below. User can select a file, an input box to specify the block size in KB and a button to start upload. 1: <div> 2: <input type="file" id="upload_files" name="files[]" /><br /> 3: Block Size: <input type="number" id="block_size" value="512" name="block_size" />KB<br /> 4: <input type="button" id="upload_button_blob" name="upload" value="upload (blob)" /> 5: </div> Then we can have the JavaScript function to upload the file in chunks when user clicked the button. 1: <script type="text/javascript"> 1: 2: $(function () { 3: $("#upload_button_blob").click(function () { 4: }); 5: });</script> Firstly we need to ensure the client browser supports the interfaces we are going to use. Just try to invoke the File, Blob and FormData from the “window” object. If any of them is “undefined” the condition result will be “false” which means your browser doesn’t support these premium feature and it’s time for you to get your browser updated. FormData is another new feature we are going to use in the future. It could generate a temporary form for us. We will use this interface to create a form with chunk and associated metadata when invoked the service through ajax. 1: $("#upload_button_blob").click(function () { 2: // assert the browser support html5 3: if (window.File && window.Blob && window.FormData) { 4: alert("Your brwoser is awesome, let's rock!"); 5: } 6: else { 7: alert("Oh man plz update to a modern browser before try is cool stuff out."); 8: return; 9: } 10: }); Each browser supports these interfaces by their own implementation and currently the Blob, File and File.slice are supported by Chrome 21, FireFox 13, IE 10, Opera 12 and Safari 5.1 or higher. After that we worked on the files the user selected one by one since in HTML5, user can select multiple files in one file input box. 1: var files = $("#upload_files")[0].files; 2: for (var i = 0; i < files.length; i++) { 3: var file = files[i]; 4: var fileSize = file.size; 5: var fileName = file.name; 6: } Next, we calculated the start index and end index for each chunks based on the size the user specified from the browser. We put them into an array with the file name and the index, which will be used when we upload chunks into Windows Azure Blob Storage as blocks since we need to specify the target blob name and the block index. At the same time we will store the list of all indexes into another variant which will be used to commit blocks into blob in Azure Storage once all chunks had been uploaded successfully. 1: $("#upload_button_blob").click(function () { 2: // assert the browser support html5 3: ... ... 4: // start to upload each files in chunks 5: var files = $("#upload_files")[0].files; 6: for (var i = 0; i < files.length; i++) { 7: var file = files[i]; 8: var fileSize = file.size; 9: var fileName = file.name; 10:  11: // calculate the start and end byte index for each blocks(chunks) 12: // with the index, file name and index list for future using 13: var blockSizeInKB = $("#block_size").val(); 14: var blockSize = blockSizeInKB * 1024; 15: var blocks = []; 16: var offset = 0; 17: var index = 0; 18: var list = ""; 19: while (offset < fileSize) { 20: var start = offset; 21: var end = Math.min(offset + blockSize, fileSize); 22:  23: blocks.push({ 24: name: fileName, 25: index: index, 26: start: start, 27: end: end 28: }); 29: list += index + ","; 30:  31: offset = end; 32: index++; 33: } 34: } 35: }); Now we have all chunks’ information ready. The next step should be upload them one by one to the server side, and at the server side when received a chunk it will upload as a block into Blob Storage, and finally commit them with the index list through BlockBlobClient.PutBlockList. But since all these invokes are ajax calling, which means not synchronized call. So we need to introduce a new JavaScript library to help us coordinate the asynchronize operation, which named “async.js”. You can download this JavaScript library here, and you can find the document here. I will not explain this library too much in this post. We will put all procedures we want to execute as a function array, and pass into the proper function defined in async.js to let it help us to control the execution sequence, in series or in parallel. Hence we will define an array and put the function for chunk upload into this array. 1: $("#upload_button_blob").click(function () { 2: // assert the browser support html5 3: ... ... 4:  5: // start to upload each files in chunks 6: var files = $("#upload_files")[0].files; 7: for (var i = 0; i < files.length; i++) { 8: var file = files[i]; 9: var fileSize = file.size; 10: var fileName = file.name; 11: // calculate the start and end byte index for each blocks(chunks) 12: // with the index, file name and index list for future using 13: ... ... 14:  15: // define the function array and push all chunk upload operation into this array 16: blocks.forEach(function (block) { 17: putBlocks.push(function (callback) { 18: }); 19: }); 20: } 21: }); 22: }); As you can see, I used File.slice method to read each chunks based on the start and end byte index we calculated previously, and constructed a temporary HTML form with the file name, chunk index and chunk data through another new feature in HTML5 named FormData. Then post this form to the backend server through jQuery.ajax. This is the key part of our solution. 1: $("#upload_button_blob").click(function () { 2: // assert the browser support html5 3: ... ... 4: // start to upload each files in chunks 5: var files = $("#upload_files")[0].files; 6: for (var i = 0; i < files.length; i++) { 7: var file = files[i]; 8: var fileSize = file.size; 9: var fileName = file.name; 10: // calculate the start and end byte index for each blocks(chunks) 11: // with the index, file name and index list for future using 12: ... ... 13: // define the function array and push all chunk upload operation into this array 14: blocks.forEach(function (block) { 15: putBlocks.push(function (callback) { 16: // load blob based on the start and end index for each chunks 17: var blob = file.slice(block.start, block.end); 18: // put the file name, index and blob into a temporary from 19: var fd = new FormData(); 20: fd.append("name", block.name); 21: fd.append("index", block.index); 22: fd.append("file", blob); 23: // post the form to backend service (asp.net mvc controller action) 24: $.ajax({ 25: url: "/Home/UploadInFormData", 26: data: fd, 27: processData: false, 28: contentType: "multipart/form-data", 29: type: "POST", 30: success: function (result) { 31: if (!result.success) { 32: alert(result.error); 33: } 34: callback(null, block.index); 35: } 36: }); 37: }); 38: }); 39: } 40: }); Then we will invoke these functions one by one by using the async.js. And once all functions had been executed successfully I invoked another ajax call to the backend service to commit all these chunks (blocks) as the blob in Windows Azure Storage. 1: $("#upload_button_blob").click(function () { 2: // assert the browser support html5 3: ... ... 4: // start to upload each files in chunks 5: var files = $("#upload_files")[0].files; 6: for (var i = 0; i < files.length; i++) { 7: var file = files[i]; 8: var fileSize = file.size; 9: var fileName = file.name; 10: // calculate the start and end byte index for each blocks(chunks) 11: // with the index, file name and index list for future using 12: ... ... 13: // define the function array and push all chunk upload operation into this array 14: ... ... 15: // invoke the functions one by one 16: // then invoke the commit ajax call to put blocks into blob in azure storage 17: async.series(putBlocks, function (error, result) { 18: var data = { 19: name: fileName, 20: list: list 21: }; 22: $.post("/Home/Commit", data, function (result) { 23: if (!result.success) { 24: alert(result.error); 25: } 26: else { 27: alert("done!"); 28: } 29: }); 30: }); 31: } 32: }); That’s all in the client side. The outline of our logic would be - Calculate the start and end byte index for each chunks based on the block size. - Defined the functions of reading the chunk form file and upload the content to the backend service through ajax. - Execute the functions defined in previous step with “async.js”. - Commit the chunks by invoking the backend service in Windows Azure Storage finally.   Save Chunks as Blocks into Blob Storage In above we finished the client size JavaScript code. It uploaded the file in chunks to the backend service which we are going to implement in this step. We will use ASP.NET MVC as our backend service, and it will receive the chunks, upload into Windows Azure Bob Storage in blocks, then finally commit as one blob. As in the client side we uploaded chunks by invoking the ajax call to the URL "/Home/UploadInFormData", I created a new action under the Index controller and it only accepts HTTP POST request. 1: [HttpPost] 2: public JsonResult UploadInFormData() 3: { 4: var error = string.Empty; 5: try 6: { 7: } 8: catch (Exception e) 9: { 10: error = e.ToString(); 11: } 12:  13: return new JsonResult() 14: { 15: Data = new 16: { 17: success = string.IsNullOrWhiteSpace(error), 18: error = error 19: } 20: }; 21: } Then I retrieved the file name, index and the chunk content from the Request.Form object, which was passed from our client side. And then, used the Windows Azure SDK to create a blob container (in this case we will use the container named “test”.) and create a blob reference with the blob name (same as the file name). Then uploaded the chunk as a block of this blob with the index, since in Blob Storage each block must have an index (ID) associated with so that finally we can put all blocks as one blob by specifying their block ID list. 1: [HttpPost] 2: public JsonResult UploadInFormData() 3: { 4: var error = string.Empty; 5: try 6: { 7: var name = Request.Form["name"]; 8: var index = int.Parse(Request.Form["index"]); 9: var file = Request.Files[0]; 10: var id = Convert.ToBase64String(BitConverter.GetBytes(index)); 11:  12: var container = _client.GetContainerReference("test"); 13: container.CreateIfNotExists(); 14: var blob = container.GetBlockBlobReference(name); 15: blob.PutBlock(id, file.InputStream, null); 16: } 17: catch (Exception e) 18: { 19: error = e.ToString(); 20: } 21:  22: return new JsonResult() 23: { 24: Data = new 25: { 26: success = string.IsNullOrWhiteSpace(error), 27: error = error 28: } 29: }; 30: } Next, I created another action to commit the blocks into blob once all chunks had been uploaded. Similarly, I retrieved the blob name from the Request.Form. I also retrieved the chunks ID list, which is the block ID list from the Request.Form in a string format, split them as a list, then invoked the BlockBlob.PutBlockList method. After that our blob will be shown in the container and ready to be download. 1: [HttpPost] 2: public JsonResult Commit() 3: { 4: var error = string.Empty; 5: try 6: { 7: var name = Request.Form["name"]; 8: var list = Request.Form["list"]; 9: var ids = list 10: .Split(',') 11: .Where(id => !string.IsNullOrWhiteSpace(id)) 12: .Select(id => Convert.ToBase64String(BitConverter.GetBytes(int.Parse(id)))) 13: .ToArray(); 14:  15: var container = _client.GetContainerReference("test"); 16: container.CreateIfNotExists(); 17: var blob = container.GetBlockBlobReference(name); 18: blob.PutBlockList(ids); 19: } 20: catch (Exception e) 21: { 22: error = e.ToString(); 23: } 24:  25: return new JsonResult() 26: { 27: Data = new 28: { 29: success = string.IsNullOrWhiteSpace(error), 30: error = error 31: } 32: }; 33: } Now we finished all code we need. The whole process of uploading would be like this below. Below is the full client side JavaScript code. 1: <script type="text/javascript" src="~/Scripts/async.js"></script> 2: <script type="text/javascript"> 3: $(function () { 4: $("#upload_button_blob").click(function () { 5: // assert the browser support html5 6: if (window.File && window.Blob && window.FormData) { 7: alert("Your brwoser is awesome, let's rock!"); 8: } 9: else { 10: alert("Oh man plz update to a modern browser before try is cool stuff out."); 11: return; 12: } 13:  14: // start to upload each files in chunks 15: var files = $("#upload_files")[0].files; 16: for (var i = 0; i < files.length; i++) { 17: var file = files[i]; 18: var fileSize = file.size; 19: var fileName = file.name; 20:  21: // calculate the start and end byte index for each blocks(chunks) 22: // with the index, file name and index list for future using 23: var blockSizeInKB = $("#block_size").val(); 24: var blockSize = blockSizeInKB * 1024; 25: var blocks = []; 26: var offset = 0; 27: var index = 0; 28: var list = ""; 29: while (offset < fileSize) { 30: var start = offset; 31: var end = Math.min(offset + blockSize, fileSize); 32:  33: blocks.push({ 34: name: fileName, 35: index: index, 36: start: start, 37: end: end 38: }); 39: list += index + ","; 40:  41: offset = end; 42: index++; 43: } 44:  45: // define the function array and push all chunk upload operation into this array 46: var putBlocks = []; 47: blocks.forEach(function (block) { 48: putBlocks.push(function (callback) { 49: // load blob based on the start and end index for each chunks 50: var blob = file.slice(block.start, block.end); 51: // put the file name, index and blob into a temporary from 52: var fd = new FormData(); 53: fd.append("name", block.name); 54: fd.append("index", block.index); 55: fd.append("file", blob); 56: // post the form to backend service (asp.net mvc controller action) 57: $.ajax({ 58: url: "/Home/UploadInFormData", 59: data: fd, 60: processData: false, 61: contentType: "multipart/form-data", 62: type: "POST", 63: success: function (result) { 64: if (!result.success) { 65: alert(result.error); 66: } 67: callback(null, block.index); 68: } 69: }); 70: }); 71: }); 72:  73: // invoke the functions one by one 74: // then invoke the commit ajax call to put blocks into blob in azure storage 75: async.series(putBlocks, function (error, result) { 76: var data = { 77: name: fileName, 78: list: list 79: }; 80: $.post("/Home/Commit", data, function (result) { 81: if (!result.success) { 82: alert(result.error); 83: } 84: else { 85: alert("done!"); 86: } 87: }); 88: }); 89: } 90: }); 91: }); 92: </script> And below is the full ASP.NET MVC controller code. 1: public class HomeController : Controller 2: { 3: private CloudStorageAccount _account; 4: private CloudBlobClient _client; 5:  6: public HomeController() 7: : base() 8: { 9: _account = CloudStorageAccount.Parse(CloudConfigurationManager.GetSetting("DataConnectionString")); 10: _client = _account.CreateCloudBlobClient(); 11: } 12:  13: public ActionResult Index() 14: { 15: ViewBag.Message = "Modify this template to jump-start your ASP.NET MVC application."; 16:  17: return View(); 18: } 19:  20: [HttpPost] 21: public JsonResult UploadInFormData() 22: { 23: var error = string.Empty; 24: try 25: { 26: var name = Request.Form["name"]; 27: var index = int.Parse(Request.Form["index"]); 28: var file = Request.Files[0]; 29: var id = Convert.ToBase64String(BitConverter.GetBytes(index)); 30:  31: var container = _client.GetContainerReference("test"); 32: container.CreateIfNotExists(); 33: var blob = container.GetBlockBlobReference(name); 34: blob.PutBlock(id, file.InputStream, null); 35: } 36: catch (Exception e) 37: { 38: error = e.ToString(); 39: } 40:  41: return new JsonResult() 42: { 43: Data = new 44: { 45: success = string.IsNullOrWhiteSpace(error), 46: error = error 47: } 48: }; 49: } 50:  51: [HttpPost] 52: public JsonResult Commit() 53: { 54: var error = string.Empty; 55: try 56: { 57: var name = Request.Form["name"]; 58: var list = Request.Form["list"]; 59: var ids = list 60: .Split(',') 61: .Where(id => !string.IsNullOrWhiteSpace(id)) 62: .Select(id => Convert.ToBase64String(BitConverter.GetBytes(int.Parse(id)))) 63: .ToArray(); 64:  65: var container = _client.GetContainerReference("test"); 66: container.CreateIfNotExists(); 67: var blob = container.GetBlockBlobReference(name); 68: blob.PutBlockList(ids); 69: } 70: catch (Exception e) 71: { 72: error = e.ToString(); 73: } 74:  75: return new JsonResult() 76: { 77: Data = new 78: { 79: success = string.IsNullOrWhiteSpace(error), 80: error = error 81: } 82: }; 83: } 84: } And if we selected a file from the browser we will see our application will upload chunks in the size we specified to the server through ajax call in background, and then commit all chunks in one blob. Then we can find the blob in our Windows Azure Blob Storage.   Optimized by Parallel Upload In previous example we just uploaded our file in chunks. This solved the problem that ASP.NET MVC request content size limitation as well as the Windows Azure load balancer timeout. But it might introduce the performance problem since we uploaded chunks in sequence. In order to improve the upload performance we could modify our client side code a bit to make the upload operation invoked in parallel. The good news is that, “async.js” library provides the parallel execution function. If you remembered the code we invoke the service to upload chunks, it utilized “async.series” which means all functions will be executed in sequence. Now we will change this code to “async.parallel”. This will invoke all functions in parallel. 1: $("#upload_button_blob").click(function () { 2: // assert the browser support html5 3: ... ... 4: // start to upload each files in chunks 5: var files = $("#upload_files")[0].files; 6: for (var i = 0; i < files.length; i++) { 7: var file = files[i]; 8: var fileSize = file.size; 9: var fileName = file.name; 10: // calculate the start and end byte index for each blocks(chunks) 11: // with the index, file name and index list for future using 12: ... ... 13: // define the function array and push all chunk upload operation into this array 14: ... ... 15: // invoke the functions one by one 16: // then invoke the commit ajax call to put blocks into blob in azure storage 17: async.parallel(putBlocks, function (error, result) { 18: var data = { 19: name: fileName, 20: list: list 21: }; 22: $.post("/Home/Commit", data, function (result) { 23: if (!result.success) { 24: alert(result.error); 25: } 26: else { 27: alert("done!"); 28: } 29: }); 30: }); 31: } 32: }); In this way all chunks will be uploaded to the server side at the same time to maximize the bandwidth usage. This should work if the file was not very large and the chunk size was not very small. But for large file this might introduce another problem that too many ajax calls are sent to the server at the same time. So the best solution should be, upload the chunks in parallel with maximum concurrency limitation. The code below specified the concurrency limitation to 4, which means at the most only 4 ajax calls could be invoked at the same time. 1: $("#upload_button_blob").click(function () { 2: // assert the browser support html5 3: ... ... 4: // start to upload each files in chunks 5: var files = $("#upload_files")[0].files; 6: for (var i = 0; i < files.length; i++) { 7: var file = files[i]; 8: var fileSize = file.size; 9: var fileName = file.name; 10: // calculate the start and end byte index for each blocks(chunks) 11: // with the index, file name and index list for future using 12: ... ... 13: // define the function array and push all chunk upload operation into this array 14: ... ... 15: // invoke the functions one by one 16: // then invoke the commit ajax call to put blocks into blob in azure storage 17: async.parallelLimit(putBlocks, 4, function (error, result) { 18: var data = { 19: name: fileName, 20: list: list 21: }; 22: $.post("/Home/Commit", data, function (result) { 23: if (!result.success) { 24: alert(result.error); 25: } 26: else { 27: alert("done!"); 28: } 29: }); 30: }); 31: } 32: });   Summary In this post we discussed how to upload files in chunks to the backend service and then upload them into Windows Azure Blob Storage in blocks. We focused on the frontend side and leverage three new feature introduced in HTML 5 which are - File.slice: Read part of the file by specifying the start and end byte index. - Blob: File-like interface which contains the part of the file content. - FormData: Temporary form element that we can pass the chunk alone with some metadata to the backend service. Then we discussed the performance consideration of chunk uploading. Sequence upload cannot provide maximized upload speed, but the unlimited parallel upload might crash the browser and server if too many chunks. So we finally came up with the solution to upload chunks in parallel with the concurrency limitation. We also demonstrated how to utilize “async.js” JavaScript library to help us control the asynchronize call and the parallel limitation.   Regarding the chunk size and the parallel limitation value there is no “best” value. You need to test vary composition and find out the best one for your particular scenario. It depends on the local bandwidth, client machine cores and the server side (Windows Azure Cloud Service Virtual Machine) cores, memory and bandwidth. Below is one of my performance test result. The client machine was Windows 8 IE 10 with 4 cores. I was using Microsoft Cooperation Network. The web site was hosted on Windows Azure China North data center (in Beijing) with one small web role (1.7GB 1 core CPU, 1.75GB memory with 100Mbps bandwidth). The test cases were - Chunk size: 512KB, 1MB, 2MB, 4MB. - Upload Mode: Sequence, parallel (unlimited), parallel with limit (4 threads, 8 threads). - Chunk Format: base64 string, binaries. - Target file: 100MB. - Each case was tested 3 times. Below is the test result chart. Some thoughts, but not guidance or best practice: - Parallel gets better performance than series. - No significant performance improvement between parallel 4 threads and 8 threads. - Transform with binaries provides better performance than base64. - In all cases, chunk size in 1MB - 2MB gets better performance.   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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  • /etc/security/limits.conf for setting program limits in Linux

    - by Flavius Akerele
    I have the following inside /etc/security/limits.conf (I have specified root separately because * will not include it.) user2 - core unlimited * - core 0 root - core 0 * - rss 512000 root - rss 512000 * - nproc 100 root - nproc 100 * - maxlogins 1 root - maxlogins 1 I run a program as user2 (./programname) but /proc/3498/limits says cores are disabled: Limit Soft Limit Hard Limit Units Max cpu time unlimited unlimited seconds Max file size unlimited unlimited bytes Max data size unlimited unlimited bytes Max stack size 8388608 unlimited bytes Max core file size 0 0 bytes Max resident set 524288000 524288000 bytes Max processes 100 100 processes Max open files 1024 1024 files Max locked memory 65536 65536 bytes Max address space unlimited unlimited bytes Max file locks unlimited unlimited locks Max pending signals 14001 14001 signals Max msgqueue size 819200 819200 bytes Max nice priority 0 0 Max realtime priority 0 0 Max realtime timeout unlimited unlimited us Both ulimit -Sa and ulimit -Ha output that cores are disabled: core file size (blocks, -c) 0 data seg size (kbytes, -d) unlimited scheduling priority (-e) 0 file size (blocks, -f) unlimited pending signals (-i) 14001 max locked memory (kbytes, -l) 64 max memory size (kbytes, -m) 512000 open files (-n) 1024 pipe size (512 bytes, -p) 8 POSIX message queues (bytes, -q) 819200 real-time priority (-r) 0 stack size (kbytes, -s) unlimited cpu time (seconds, -t) unlimited max user processes (-u) 100 virtual memory (kbytes, -v) unlimited file locks (-x) unlimited Why are cores disabled ?

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  • /etc/security/limits.conf for setting program limits in Linux

    - by Flavius Akerele
    I have the following inside /etc/security/limits.conf (I have specified root separately because * will not include it.) user2 - core unlimited * - core 0 root - core 0 * - rss 512000 root - rss 512000 * - nproc 100 root - nproc 100 * - maxlogins 1 root - maxlogins 1 I run a program as user2 (./programname) but /proc/3498/limits says cores are disabled: Limit Soft Limit Hard Limit Units Max cpu time unlimited unlimited seconds Max file size unlimited unlimited bytes Max data size unlimited unlimited bytes Max stack size 8388608 unlimited bytes Max core file size 0 0 bytes Max resident set 524288000 524288000 bytes Max processes 100 100 processes Max open files 1024 1024 files Max locked memory 65536 65536 bytes Max address space unlimited unlimited bytes Max file locks unlimited unlimited locks Max pending signals 14001 14001 signals Max msgqueue size 819200 819200 bytes Max nice priority 0 0 Max realtime priority 0 0 Max realtime timeout unlimited unlimited us Both ulimit -Sa and ulimit -Ha output that cores are disabled: core file size (blocks, -c) 0 data seg size (kbytes, -d) unlimited scheduling priority (-e) 0 file size (blocks, -f) unlimited pending signals (-i) 14001 max locked memory (kbytes, -l) 64 max memory size (kbytes, -m) 512000 open files (-n) 1024 pipe size (512 bytes, -p) 8 POSIX message queues (bytes, -q) 819200 real-time priority (-r) 0 stack size (kbytes, -s) unlimited cpu time (seconds, -t) unlimited max user processes (-u) 100 virtual memory (kbytes, -v) unlimited file locks (-x) unlimited Why are cores disabled ?

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  • Windows 7 Explorer: how to show total size of all files in current folder?

    - by matt wilkie
    In Windows XP Explorer one can turn on Status Bar which shows, among other things, the total size of all the files in the current folder, or if the cumulative size of the selected files. How do I get the same at-a-glance information in Windows 7? Selecting files doesn't count as it stops after 15 files, and it's rare that I'm concerned about total size with that few files (it's pretty easy to estimate in my head). thanks. UPDATE: Information derived from the context menu (select r-click properties) isn't "at a glance", and not as smooth as selecting files and clicking the details link at the bottom in any case. Thank you for fleshing out more of the available routes though. Yes Q19232 is similar to this one, though it is not a duplicate. That question is about looking for easy free-space on disk stats and this one is easy used-space by contents of this folder stats. The answer for both is the same though. You can't! Hopefully someone will figure how to get this lost feature back with a shell extension or something.

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  • I missed allowing ".NET Runtime Optimization Service" while installing a game — could there be any problems?

    - by MDLss
    I'm using ESET Smart Security 4 on Windows 7. I selected Interactive Mode so it asks me when something needs to connect to my PC. So when I was installing a game named League of Legends, I was away from my computer. When I came back, I saw that the download was finished but ESET was asking whether to allow .NET Runtime Optimization Service to connect my computer using port 80 TCP. So I selected Allow but It was too late because the download was already finished. I can play the game, but could it be bugged or broken or something?

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  • partition error

    - by sus hill
    while doing create partition following error shows up error creating partition: helper exited with exit code 1: In part_add_partition: device_file=/dev/sda, start=307198163968, size=118189196288, type=0x83 Entering MS-DOS parser (offset=0, size=640135028736) MSDOS_MAGIC found looking at part 0 (offset 32256, size 307197725184, type 0x07) new part entry looking at part 1 (offset 307198163968, size 332936512512, type 0x0f) Entering MS-DOS extended parser (offset=307198163968, size=332936512512) readfrom = 307198163968 MSDOS_MAGIC found readfrom = 586446013440 MSDOS_MAGIC found readfrom = 307205982720 No MSDOS_MAGIC found Exiting MS-DOS extended parser looking at part 2 (offset 0, size 0, type 0x00) new part entry looking at part 3 (offset 0, size 0, type 0x00) new part entry Exiting MS-DOS parser MSDOS partition table detected containing partition table scheme = 1 got it Error: Invalid partition table on /dev/sda -- wrong signature 0. ped_disk_new() failed

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  • Algorithmic Forecasting and Pattern Recognition

    - by Ryan King
    Say a user could enter project data into my software. Each project has 2 variables "size" and "work" and they're related but the relationship is not known. Is there a way to programmatically determine the relationship between the variables based on previous data and forecast the amount of work provided if only given the size of the project in the future? For Example, say the user had manually entered the following projects. Project 1 - Size:1, Work: 4 Project 2 - Size:2, Work: 7 Project 3 - Size:3, Work: 10 Project 4 - Size:4, Work: x What should I look into to be able to programmatically determine, that Work = Size*3+1 and therefor be able to say that x=13?

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  • Optimizing a thread safe Java NIO / Serialization / FIFO Queue [migrated]

    - by trialcodr
    I've written a thread safe, persistent FIFO for Serializable items. The reason for reinventing the wheel is that we simply can't afford any third party dependencies in this project and want to keep this really simple. The problem is it isn't fast enough. Most of it is undoubtedly due to reading and writing directly to disk but I think we should be able to squeeze a bit more out of it anyway. Any ideas on how to improve the performance of the 'take'- and 'add'-methods? /** * <code>DiskQueue</code> Persistent, thread safe FIFO queue for * <code>Serializable</code> items. */ public class DiskQueue<ItemT extends Serializable> { public static final int EMPTY_OFFS = -1; public static final int LONG_SIZE = 8; public static final int HEADER_SIZE = LONG_SIZE * 2; private InputStream inputStream; private OutputStream outputStream; private RandomAccessFile file; private FileChannel channel; private long offs = EMPTY_OFFS; private long size = 0; public DiskQueue(String filename) { try { boolean fileExists = new File(filename).exists(); file = new RandomAccessFile(filename, "rwd"); if (fileExists) { size = file.readLong(); offs = file.readLong(); } else { file.writeLong(size); file.writeLong(offs); } } catch (FileNotFoundException e) { throw new RuntimeException(e); } catch (IOException e) { throw new RuntimeException(e); } channel = file.getChannel(); inputStream = Channels.newInputStream(channel); outputStream = Channels.newOutputStream(channel); } /** * Add item to end of queue. */ public void add(ItemT item) { try { synchronized (this) { channel.position(channel.size()); ObjectOutputStream s = new ObjectOutputStream(outputStream); s.writeObject(item); s.flush(); size++; file.seek(0); file.writeLong(size); if (offs == EMPTY_OFFS) { offs = HEADER_SIZE; file.writeLong(offs); } notify(); } } catch (IOException e) { throw new RuntimeException(e); } } /** * Clears overhead by moving the remaining items up and shortening the file. */ public synchronized void defrag() { if (offs > HEADER_SIZE && size > 0) { try { long totalBytes = channel.size() - offs; ByteBuffer buffer = ByteBuffer.allocateDirect((int) totalBytes); channel.position(offs); for (int bytes = 0; bytes < totalBytes;) { int res = channel.read(buffer); if (res == -1) { throw new IOException("Failed to read data into buffer"); } bytes += res; } channel.position(HEADER_SIZE); buffer.flip(); for (int bytes = 0; bytes < totalBytes;) { int res = channel.write(buffer); if (res == -1) { throw new IOException("Failed to write buffer to file"); } bytes += res; } offs = HEADER_SIZE; file.seek(LONG_SIZE); file.writeLong(offs); file.setLength(HEADER_SIZE + totalBytes); } catch (IOException e) { throw new RuntimeException(e); } } } /** * Returns the queue overhead in bytes. */ public synchronized long overhead() { return (offs == EMPTY_OFFS) ? 0 : offs - HEADER_SIZE; } /** * Returns the first item in the queue, blocks if queue is empty. */ public ItemT peek() throws InterruptedException { block(); synchronized (this) { if (offs != EMPTY_OFFS) { return readItem(); } } return peek(); } /** * Returns the number of remaining items in queue. */ public synchronized long size() { return size; } /** * Removes and returns the first item in the queue, blocks if queue is empty. */ public ItemT take() throws InterruptedException { block(); try { synchronized (this) { if (offs != EMPTY_OFFS) { ItemT result = readItem(); size--; offs = channel.position(); file.seek(0); if (offs == channel.size()) { truncate(); } file.writeLong(size); file.writeLong(offs); return result; } } return take(); } catch (IOException e) { throw new RuntimeException(e); } } /** * Throw away all items and reset the file. */ public synchronized void truncate() { try { offs = EMPTY_OFFS; file.setLength(HEADER_SIZE); size = 0; } catch (IOException e) { throw new RuntimeException(e); } } /** * Block until an item is available. */ protected void block() throws InterruptedException { while (offs == EMPTY_OFFS) { try { synchronized (this) { wait(); file.seek(LONG_SIZE); offs = file.readLong(); } } catch (IOException e) { throw new RuntimeException(e); } } } /** * Read and return item. */ @SuppressWarnings("unchecked") protected ItemT readItem() { try { channel.position(offs); return (ItemT) new ObjectInputStream(inputStream).readObject(); } catch (ClassNotFoundException e) { throw new RuntimeException(e); } catch (IOException e) { throw new RuntimeException(e); } } }

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  • apache fails to connect to tomcat (Worker config?)

    - by techventure
    I have a tomcat 6 with follwoing server.xml: <Connector port="8253" maxThreads="150" minSpareThreads="25" maxSpareThreads="75" enableLookups="false" redirectPort="8445" acceptCount="100" debug="0" connectionTimeout="20000" disableUploadTimeout="true" /> <Connector port="8014" protocol="AJP/1.3" redirectPort="8445" /> and in added worker.properties: # Set properties for worker4 (ajp13) worker.worker4.type=ajp13 worker.worker4.host=localhost worker.worker4.port=8014 and i put in httpd.conf: JkMount /myWebApp/* worker4 It is not working a as trying to navigate to www1.myCompany.com/myWebApp gives "Service Temporarily Unavailable". I checked in tomcat catalina.out and it says: INFO: JK: ajp13 listening on /0.0.0.0:8014 UPDATE: i put mod_jk log level to debug and below is the result: [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_set_time_fmt::jk_util.c (458): Pre-processed log time stamp format is '[%a %b %d %H:%M:%S %Y] ' [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] uri_worker_map_open::jk_uri_worker_map.c (770): rule map size is 8 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] uri_worker_map_add::jk_uri_worker_map.c (720): wildchar rule '/myWebApp/*=worker4' source 'JkMount' was added [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] uri_worker_map_dump::jk_uri_worker_map.c (171): uri map dump after map open: index=0 file='(null)' reject_unsafe=0 reload=60 modified=0 checked=0 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] uri_worker_map_dump::jk_uri_worker_map.c (176): generation 0: size=0 nosize=0 capacity=0 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] uri_worker_map_dump::jk_uri_worker_map.c (176): generation 1: size=8 nosize=0 capacity=8 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] uri_worker_map_dump::jk_uri_worker_map.c (186): NEXT (1) map #3: uri=/myWebApp/* worker=worker4 context=/myWebApp/* source=JkMount type=Wildchar len=6 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_set_time_fmt::jk_util.c (458): Pre-processed log time stamp format is '[%a %b %d %H:%M:%S %Y] ' [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] init_jk::mod_jk.c (3123): Setting default connection pool max size to 1 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_map_read_property::jk_map.c (491): Adding property 'worker.list' with value 'worker1,worker2,worker3,worker4' to map. [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_map_read_property::jk_map.c (491): Adding property 'worker.worker4.type' with value 'ajp13' to map. [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_map_read_property::jk_map.c (491): Adding property 'worker.worker4.host' with value 'localhost' to map. [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_map_read_property::jk_map.c (491): Adding property 'worker.worker4.port' with value '8014' to map. [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_map_resolve_references::jk_map.c (774): Checking for references with prefix worker. with wildcard (recursion 1) [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_shm_calculate_size::jk_shm.c (132): shared memory will contain 4 ajp workers of size 256 and 0 lb workers of size 320 with 0 members of size 320+256 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [error] init_jk::mod_jk.c (3166): Initializing shm:/var/log/httpd/mod_jk.shm.9552 errno=13. Load balancing workers will not function properly. [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'ServerRoot' -> '/etc/httpd' [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.list' -> 'worker1,worker2,worker3,worker4' [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker1.type' -> 'ajp13' [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker1.host' -> 'localhost' [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker1.port' -> '8009' [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker2.type' -> 'ajp13' [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker2.host' -> 'localhost' [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker2.port' -> '8010' [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker3.type' -> 'ajp13' [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker3.host' -> 'localhost' [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker3.port' -> '8112' [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker4.type' -> 'ajp13' [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker4.host' -> 'localhost' [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker4.port' -> '8014' [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] build_worker_map::jk_worker.c (242): creating worker worker4 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] wc_create_worker::jk_worker.c (146): about to create instance worker4 of ajp13 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] wc_create_worker::jk_worker.c (159): about to validate and init worker4 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] ajp_validate::jk_ajp_common.c (2512): worker worker4 contact is 'localhost:8014' [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] ajp_init::jk_ajp_common.c (2699): setting endpoint options: [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] ajp_init::jk_ajp_common.c (2702): keepalive: 0 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] ajp_init::jk_ajp_common.c (2706): socket timeout: 0 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] ajp_init::jk_ajp_common.c (2710): socket connect timeout: 0 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] ajp_init::jk_ajp_common.c (2714): buffer size: 0 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] ajp_init::jk_ajp_common.c (2718): pool timeout: 0 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] ajp_init::jk_ajp_common.c (2722): ping timeout: 10000 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] ajp_init::jk_ajp_common.c (2726): connect timeout: 0 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] ajp_init::jk_ajp_common.c (2730): reply timeout: 0 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] ajp_init::jk_ajp_common.c (2734): prepost timeout: 0 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] ajp_init::jk_ajp_common.c (2738): recovery options: 0 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] ajp_init::jk_ajp_common.c (2742): retries: 2 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] ajp_init::jk_ajp_common.c (2746): max packet size: 8192 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] ajp_init::jk_ajp_common.c (2750): retry interval: 100 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] ajp_create_endpoint_cache::jk_ajp_common.c (2562): setting connection pool size to 1 with min 1 and acquire timeout 200 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [info] init_jk::mod_jk.c (3183): mod_jk/1.2.28 initialized [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] wc_get_worker_for_name::jk_worker.c (116): found a worker worker4 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] wc_get_name_for_type::jk_worker.c (293): Found worker type 'ajp13' [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] uri_worker_map_ext::jk_uri_worker_map.c (512): Checking extension for worker 3: worker4 of type ajp13 (2) [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] uri_worker_map_dump::jk_uri_worker_map.c (171): uri map dump after extension stripping: index=0 file='(null)' reject_unsafe=0 reload=60 modified=0 checked=0 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] uri_worker_map_dump::jk_uri_worker_map.c (176): generation 0: size=0 nosize=0 capacity=0 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] uri_worker_map_dump::jk_uri_worker_map.c (176): generation 1: size=8 nosize=0 capacity=8 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] uri_worker_map_dump::jk_uri_worker_map.c (186): NEXT (1) map #3: uri=/myWebApp/* worker=worker4 context=/myWebApp/* source=JkMount type=Wildchar len=6 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] uri_worker_map_switch::jk_uri_worker_map.c (482): Switching uri worker map from index 0 to index 1 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_set_time_fmt::jk_util.c (458): Pre-processed log time stamp format is '[%a %b %d %H:%M:%S %Y] ' [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] uri_worker_map_open::jk_uri_worker_map.c (770): rule map size is 8 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] uri_worker_map_add::jk_uri_worker_map.c (720): wildchar rule '/myWebApp/*=worker4' source 'JkMount' was added [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] uri_worker_map_dump::jk_uri_worker_map.c (171): uri map dump after map open: index=0 file='(null)' reject_unsafe=0 reload=60 modified=0 checked=0 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] uri_worker_map_dump::jk_uri_worker_map.c (176): generation 0: size=0 nosize=0 capacity=0 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] uri_worker_map_dump::jk_uri_worker_map.c (176): generation 1: size=8 nosize=0 capacity=8 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] uri_worker_map_dump::jk_uri_worker_map.c (186): NEXT (1) map #0: uri=/jsp-examples/* worker=worker1 context=/jsp-examples/* source=JkMount type=Wildchar len=15 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] uri_worker_map_dump::jk_uri_worker_map.c (186): NEXT (1) map #3: uri=/myWebApp/* worker=worker4 context=/myWebApp/* source=JkMount type=Wildchar len=6 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_set_time_fmt::jk_util.c (458): Pre-processed log time stamp format is '[%a %b %d %H:%M:%S %Y] ' [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] init_jk::mod_jk.c (3123): Setting default connection pool max size to 1 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_map_read_property::jk_map.c (491): Adding property 'worker.list' with value 'worker1,worker2,worker3,worker4' to map. [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_map_read_property::jk_map.c (491): Adding property 'worker.worker4.type' with value 'ajp13' to map. [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_map_read_property::jk_map.c (491): Adding property 'worker.worker4.host' with value 'localhost' to map. [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_map_read_property::jk_map.c (491): Adding property 'worker.worker4.port' with value '8014' to map. [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_map_resolve_references::jk_map.c (774): Checking for references with prefix worker. with wildcard (recursion 1) [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_shm_calculate_size::jk_shm.c (132): shared memory will contain 4 ajp workers of size 256 and 0 lb workers of size 320 with 0 members of size 320+256 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [error] init_jk::mod_jk.c (3166): Initializing shm:/var/log/httpd/mod_jk.shm.9553 errno=13. Load balancing workers will not function properly. [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'ServerRoot' -> '/etc/httpd' [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.list' -> 'worker1,worker2,worker3,worker4' [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker1.type' -> 'ajp13' [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker1.host' -> 'localhost' [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker1.port' -> '8009' [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker2.type' -> 'ajp13' [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker2.host' -> 'localhost' [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker2.port' -> '8010' [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker3.type' -> 'ajp13' [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker3.host' -> 'localhost' [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker3.port' -> '8112' [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker4.type' -> 'ajp13' [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker4.host' -> 'localhost' [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker4.port' -> '8014' [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] build_worker_map::jk_worker.c (242): creating worker worker4 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] wc_create_worker::jk_worker.c (146): about to create instance worker4 of ajp13 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] wc_create_worker::jk_worker.c (159): about to validate and init worker4 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] ajp_validate::jk_ajp_common.c (2512): worker worker4 contact is 'localhost:8014' [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] ajp_init::jk_ajp_common.c (2699): setting endpoint options: [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] ajp_init::jk_ajp_common.c (2702): keepalive: 0 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] ajp_init::jk_ajp_common.c (2706): socket timeout: 0 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] ajp_init::jk_ajp_common.c (2710): socket connect timeout: 0 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] ajp_init::jk_ajp_common.c (2714): buffer size: 0 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] ajp_init::jk_ajp_common.c (2718): pool timeout: 0 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] ajp_init::jk_ajp_common.c (2722): ping timeout: 10000 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] ajp_init::jk_ajp_common.c (2726): connect timeout: 0 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] ajp_init::jk_ajp_common.c (2730): reply timeout: 0 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] ajp_init::jk_ajp_common.c (2734): prepost timeout: 0 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] ajp_init::jk_ajp_common.c (2738): recovery options: 0 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] ajp_init::jk_ajp_common.c (2742): retries: 2 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] ajp_init::jk_ajp_common.c (2746): max packet size: 8192 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] ajp_init::jk_ajp_common.c (2750): retry interval: 100 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] ajp_create_endpoint_cache::jk_ajp_common.c (2562): setting connection pool size to 1 with min 1 and acquire timeout 200 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [info] init_jk::mod_jk.c (3183): mod_jk/1.2.28 initialized [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] wc_get_worker_for_name::jk_worker.c (116): found a worker worker4 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] wc_get_name_for_type::jk_worker.c (293): Found worker type 'ajp13' [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] uri_worker_map_ext::jk_uri_worker_map.c (512): Checking extension for worker 3: worker4 of type ajp13 (2) [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] uri_worker_map_dump::jk_uri_worker_map.c (171): uri map dump after extension stripping: index=0 file='(null)' reject_unsafe=0 reload=60 modified=0 checked=0 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] uri_worker_map_dump::jk_uri_worker_map.c (176): generation 0: size=0 nosize=0 capacity=0 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] uri_worker_map_dump::jk_uri_worker_map.c (176): generation 1: size=8 nosize=0 capacity=8 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] uri_worker_map_dump::jk_uri_worker_map.c (186): NEXT (1) map #3: uri=/myWebApp/* worker=worker4 context=/myWebApp/* source=JkMount type=Wildchar len=6 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] uri_worker_map_switch::jk_uri_worker_map.c (482): Switching uri worker map from index 0 to index 1 [Wed Jun 13 18:44:26 2012] [9555:3086317328] [debug] jk_child_init::mod_jk.c (3068): Initialized mod_jk/1.2.28 [Wed Jun 13 18:44:26 2012] [9556:3086317328] [debug] jk_child_init::mod_jk.c (3068): Initialized mod_jk/1.2.28 [Wed Jun 13 18:44:26 2012] [9557:3086317328] [debug] jk_child_init::mod_jk.c (3068): Initialized mod_jk/1.2.28 [Wed Jun 13 18:44:26 2012] [9558:3086317328] [debug] jk_child_init::mod_jk.c (3068): Initialized mod_jk/1.2.28 [Wed Jun 13 18:44:26 2012] [9559:3086317328] [debug] jk_child_init::mod_jk.c (3068): Initialized mod_jk/1.2.28 [Wed Jun 13 18:44:26 2012] [9560:3086317328] [debug] jk_child_init::mod_jk.c (3068): Initialized mod_jk/1.2.28 [Wed Jun 13 18:44:26 2012] [9561:3086317328] [debug] jk_child_init::mod_jk.c (3068): Initialized mod_jk/1.2.28 [Wed Jun 13 18:44:26 2012] [9562:3086317328] [debug] jk_child_init::mod_jk.c (3068): Initialized mod_jk/1.2.28 [Wed Jun 13 18:44:26 2012] [9563:3086317328] [debug] jk_child_init::mod_jk.c (3068): Initialized mod_jk/1.2.28 [Wed Jun 13 18:44:26 2012] [9564:3086317328] [debug] jk_child_init::mod_jk.c (3068): Initialized mod_jk/1.2.28 [Wed Jun 13 18:44:26 2012] [9565:3086317328] [debug] jk_child_init::mod_jk.c (3068): Initialized mod_jk/1.2.28 [Wed Jun 13 18:44:26 2012] [9567:3086317328] [debug] jk_child_init::mod_jk.c (3068): Initialized mod_jk/1.2.28 [Wed Jun 13 18:44:26 2012] [9568:3086317328] [debug] jk_child_init::mod_jk.c (3068): Initialized mod_jk/1.2.28 [Wed Jun 13 18:44:26 2012] [9566:3086317328] [debug] jk_child_init::mod_jk.c (3068): Initialized mod_jk/1.2.28 [Wed Jun 13 18:44:26 2012] [9569:3086317328] [debug] jk_child_init::mod_jk.c (3068): Initialized mod_jk/1.2.28 [Wed Jun 13 18:44:26 2012] [9570:3086317328] [debug] jk_child_init::mod_jk.c (3068): Initialized mod_jk/1.2.28 [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] map_uri_to_worker_ext::jk_uri_worker_map.c (1036): Attempting to map URI '/myWebApp/jsp/login.faces' from 8 maps [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] find_match::jk_uri_worker_map.c (850): Attempting to map context URI '/myWebApp/*=worker4' source 'JkMount' [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] find_match::jk_uri_worker_map.c (863): Found a wildchar match '/myWebApp/*=worker4' [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] jk_handler::mod_jk.c (2459): Into handler jakarta-servlet worker=worker4 r->proxyreq=0 [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] wc_get_worker_for_name::jk_worker.c (116): found a worker worker4 [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] wc_maintain::jk_worker.c (339): Maintaining worker worker1 [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] wc_maintain::jk_worker.c (339): Maintaining worker worker2 [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] wc_maintain::jk_worker.c (339): Maintaining worker worker3 [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] wc_maintain::jk_worker.c (339): Maintaining worker worker4 [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] wc_get_name_for_type::jk_worker.c (293): Found worker type 'ajp13' [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] init_ws_service::mod_jk.c (977): Service protocol=HTTP/1.1 method=GET ssl=false host=(null) addr=167.184.214.6 name=www1.myCompany.com.au port=80 auth=(null) user=(null) laddr=10.215.222.78 raddr=167.184.214.6 uri=/myWebApp/jsp/login.faces [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] ajp_get_endpoint::jk_ajp_common.c (2977): acquired connection pool slot=0 after 0 retries [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] ajp_marshal_into_msgb::jk_ajp_common.c (605): ajp marshaling done [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] ajp_service::jk_ajp_common.c (2283): processing worker4 with 2 retries [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] ajp_send_request::jk_ajp_common.c (1501): (worker4) all endpoints are disconnected. [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] jk_open_socket::jk_connect.c (452): socket TCP_NODELAY set to On [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] jk_open_socket::jk_connect.c (576): trying to connect socket 18 to 127.0.0.1:8014 [Wed Jun 13 18:44:54 2012] [9555:3086317328] [info] jk_open_socket::jk_connect.c (594): connect to 127.0.0.1:8014 failed (errno=13) [Wed Jun 13 18:44:54 2012] [9555:3086317328] [info] ajp_connect_to_endpoint::jk_ajp_common.c (922): Failed opening socket to (127.0.0.1:8014) (errno=13) [Wed Jun 13 18:44:54 2012] [9555:3086317328] [error] ajp_send_request::jk_ajp_common.c (1507): (worker4) connecting to backend failed. Tomcat is probably not started or is listening on the wrong port (errno=13) [Wed Jun 13 18:44:54 2012] [9555:3086317328] [info] ajp_service::jk_ajp_common.c (2447): (worker4) sending request to tomcat failed (recoverable), because of error during request sending (attempt=1) [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] ajp_service::jk_ajp_common.c (2304): retry 1, sleeping for 100 ms before retrying [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] ajp_send_request::jk_ajp_common.c (1501): (worker4) all endpoints are disconnected. [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] jk_open_socket::jk_connect.c (452): socket TCP_NODELAY set to On [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] jk_open_socket::jk_connect.c (576): trying to connect socket 18 to 127.0.0.1:8014 [Wed Jun 13 18:44:54 2012] [9555:3086317328] [info] jk_open_socket::jk_connect.c (594): connect to 127.0.0.1:8014 failed (errno=13) [Wed Jun 13 18:44:54 2012] [9555:3086317328] [info] ajp_connect_to_endpoint::jk_ajp_common.c (922): Failed opening socket to (127.0.0.1:8014) (errno=13) [Wed Jun 13 18:44:54 2012] [9555:3086317328] [error] ajp_send_request::jk_ajp_common.c (1507): (worker4) connecting to backend failed. Tomcat is probably not started or is listening on the wrong port (errno=13) [Wed Jun 13 18:44:54 2012] [9555:3086317328] [info] ajp_service::jk_ajp_common.c (2447): (worker4) sending request to tomcat failed (recoverable), because of error during request sending (attempt=2) [Wed Jun 13 18:44:54 2012] [9555:3086317328] [error] ajp_service::jk_ajp_common.c (2466): (worker4) connecting to tomcat failed. [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] ajp_reset_endpoint::jk_ajp_common.c (743): (worker4) resetting endpoint with sd = 4294967295 (socket shutdown) [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] ajp_done::jk_ajp_common.c (2905): recycling connection pool slot=0 for worker worker4 [Wed Jun 13 18:44:54 2012] [9555:3086317328] [info] jk_handler::mod_jk.c (2615): Service error=-3 for worker=worker4 The error i get in browser is: Service Temporarily Unavailable Apache/2.2.3 (Red Hat) Server at www1.myCompany.com.au Port 80 can someone please help and explain what is going on and how it can be resolved?

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  • Libgdx 2D Game, Random generated World of random size, how to get mouse coordinates?

    - by Solom
    I'm a noob and English is not my mothertongue, so please bear with me! I'm generating a map for a Sidescroller out of a 2D-array. That is, the array holds different values and I create blocks based on that value. Now, my problem is to match mouse coordinates on screen with the actual block the mouse is pointing at. public class GameScreen implements Screen { private static final int WIDTH = 100; private static final int HEIGHT = 70; private OrthographicCamera camera; private Rectangle glViewport; private Spritebatch spriteBatch; private Map map; private Block block; ... @Override public void show() { camera = new OrthographicCamera(WIDTH, HEIGHT); camera.position.set(WIDTH/2, HEIGHT/2, 0); glViewport = new Rectangle(0, 0, WIDTH, HEIGHT); map = new Map(16384, 256); map.printTileMap(); // Debugging only spriteBatch = new SpriteBatch(); } @Override public void render(float delta) { // Clear previous frame Gdx.gl.glClearColor(1, 1, 1, 1 ); Gdx.gl.glClear(GL20.GL_COLOR_BUFFER_BIT); GL30 gl = Gdx.graphics.getGL30(); // gl.glViewport((int) glViewport.x, (int) glViewport.y, (int) glViewport.width, (int) glViewport.height); spriteBatch.setProjectionMatrix(camera.combined); camera.update(); spriteBatch.begin(); // Draw Map this.drawMap(); // spriteBatch.flush(); spriteBatch.end(); } private void drawMap() { for(int a = 0; a < map.getHeight(); a++) { // Bounds check (y) if(camera.position.y + camera.viewportHeight < a)// || camera.position.y - camera.viewportHeight > a) break; for(int b = 0; b < map.getWidth(); b++) { // Bounds check (x) if(camera.position.x + camera.viewportWidth < b)// || camera.position.x > b) break; // Dynamic rendering via BlockManager int id = map.getTileMap()[a][b]; Block block = BlockManager.map.get(id); if(block != null) // Check if Air { block.setPosition(b, a); spriteBatch.draw(block.getTexture(), b, a, 1 ,1); } } } } As you can see, I don't use the viewport anywhere. Not sure if I need it somewhere down the road. So, the map is 16384 blocks wide. One block is 16 pixels in size. One of my naive approaches was this: if(Gdx.input.isButtonPressed(Input.Buttons.LEFT)) { Vector3 mousePos = new Vector3(); mousePos.set(Gdx.input.getX(), Gdx.input.getY(), 0); camera.unproject(mousePos); System.out.println(Math.round(mousePos.x)); // *16); // Debugging // TODO: round // map.getTileMap()[mousePos.x][mousePos.y] = 2; // Draw at mouse position } I confused myself somewhere down the road I fear. What I want to do is, update the "block" (or rather the information in the Map/2D-Array) so that in the next render() there is another block. Basically drawing on the spriteBatch g So if anyone could point me in the right direction this would be highly appreciated. Thanks!

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