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  • Benchmarking CPU processing power

    - by Federico Zancan
    Provided that many tools for computers benchmarking are available already, I'd like to write my own, starting with processing power measurement. I'd like to write it in C under Linux, but other language alternatives are welcome. I thought starting from floating point operations per second, but it is just a hint. I also thought it'd be correct to keep track of CPU number of cores, RAM amount and the like, to more consistently associate results with CPU architecture. How would you proceed to the task of measuring CPU computing power? And on top of that: I would worry about a properly minimum workload induced by concurrently running services; is it correct to run benchmarking as a standalone (and possibly avulsed from the OS environment) process?

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  • Online medical image processing grand challenges

    - by taltos
    Hello! I moved my question from stackoverflow here. I cherish the hope that I will be luckier. I'm currently working on my thesis, and I'm looking for an/some online medical image processing grand challenge(s). I already know this site but I need a challenge which has microscopic image dataset like cells, chromosomes, bacterias, viruses etc with classification or recognation objective. Like karyotyping. Maybe someone is working on this field or his university made a challenge what I'm looking for, and can help me. Thank you!

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  • Webcast: Optimize Accounts Payable Through Automated Invoice Processing

    - by kellsey.ruppel(at)oracle.com
    Is your accounts payable process still very labor-intensive? Then discover how Oracle can help you eliminate paper, automate data entry and reduce costs by up to 90% - while saving valuable time through fewer errors and faster lookups. Join us on Tuesday, March 22 at 10 a.m. PT for this informative Webcast where Jamie Rancourt and Brian Dirking will show how you can easily integrate capture, forms recognition and content management into your PeopleSoft and Oracle E-Business Suite accounts payable systems. You will also see how The Home Depot, Costco and American Express have achieved tremendous savings and productivity gains by switching to automated solutions. Learn how you can automate invoice scanning, indexing and data extraction to:Improve speed and reduce errors Eliminate time-consuming searches Utilize vendor discounts through faster processing Improve visibility and ensure compliance Save costs in accounts payable and other business processesRegister today!

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  • Persisting natural language processing parsed data

    - by tjb1982
    I've recently started experimenting with natural language processing (NLP) using Stanford's CoreNLP, and I'm wondering what are some of the standard ways to store NLP parsed data for something like a text mining application? One way I thought might be interesting is to store the children as an adjacency list and make good use of recursive queries (Postgres supports this and I've found it works really well). But I assume there are probably many standard ways to do this depending on what kind of analysis is being done that have been adopted by people working in the field over the years. So what are the standard persistence strategies for NLP parsed data and how are they used?

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  • Human powered document processing

    - by Denivic
    I want to create a "Human powered document processing" website in a formed as a gaming mechanic that will prompt volunteers to weed out text missed by OCR (optical character reader) The challenge is that the OCR output often contains errors and omissions, which hampers searches. Manual corrections is needed to weed out these mistakes, so that the text become machine readable.. I want to accomplish these task by splitting dull repetitive task into tiny microtasks and distributing then to register contributors on my site. I want to digitalized pedigree books into an online database. I want to recreate recaptcha and http://www.digitalkoot.fi/en/splash all roll into one.. Help!!!! What programing languages is best needed to create a recapctch type website and is there any open source project similar to this I can use? I need a some directions to begin this project, so all and any help will be great.

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  • Silverlight 3.0 and ADO.NET data service framework(An error occurred while processing this request)

    - by ybbest
    Today , I try to write a Silverlight app that talks to SharePoint 2010 using the REST API.However after deploy the silverlight app and run the code , I got the following error.In order to fix this I need to make the target framework of your caller application to 4.0,in this case I need to use Silverlight 4.0 instead 3.0.After I have done that and redeploy the solution to the SharePoint.It works like a charm.   Exceptions details: System.Data.Services.Client.DataServiceQueryException: An error occurred while processing this request. Request version ’1.0′ is too low for the response. The lowest supported version is ’2.0′. However , if you got the error like this: Could not load type ‘System.Data.Services.Providers.IDataServiceUpdateProvider’ from assembly ‘System.Data.Services, Version=3.5.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089′,then you need to install ADO.NET Data Services Update for .NET Framework 3.5 SP1 ,you can download here (for windowns 7 and server 2008 r2 ) or here (for windows vista of server 2008).

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  • Ideas to automate customer order processing? [on hold]

    - by user2753657
    i am looking for a way to automate the order processing in my webshop. Normally, a user buys a product in my webshop, then, i receive an order confirmation email with order details, address etc. After receiving the order email, I login to my suppliers website and input the order details manually. My supplier then ships the item to the address specified by me. I am looking for ideas how to automate this process, especially in the case if i receive for example 4-5 order emails at one time (and not one by one with several hours between)... I was looking at the program Winautomation, but i am not sure if this fits my needs. Any ideas are appreciated. thanks!

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  • Initiating processing in a RESTful manner

    - by tom
    Let's say you have a resource that you can do normal PUT/POST/GET operations on. It represents a BLOB of data and the methods retrieve representations of the data, be they metadata about the BLOB or the BLOB itself. The resource is something that can be processed by the server on request. In this instance a file that can be parsed multiple times. How do I initiate that processing? It's a bit RPC like. Is there best practice around this? (First time on programmers. This is the right place for this sort of question, right?)

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  • Node.js Adventure - When Node Flying in Wind

    - by Shaun
    In the first post of this series I mentioned some popular modules in the community, such as underscore, async, etc.. I also listed a module named “Wind (zh-CN)”, which is created by one of my friend, Jeff Zhao (zh-CN). Now I would like to use a separated post to introduce this module since I feel it brings a new async programming style in not only Node.js but JavaScript world. If you know or heard about the new feature in C# 5.0 called “async and await”, or you learnt F#, you will find the “Wind” brings the similar async programming experience in JavaScript. By using “Wind”, we can write async code that looks like the sync code. The callbacks, async stats and exceptions will be handled by “Wind” automatically and transparently.   What’s the Problem: Dense “Callback” Phobia Let’s firstly back to my second post in this series. As I mentioned in that post, when we wanted to read some records from SQL Server we need to open the database connection, and then execute the query. In Node.js all IO operation are designed as async callback pattern which means when the operation was done, it will invoke a function which was taken from the last parameter. For example the database connection opening code would be like this. 1: sql.open(connectionString, function(error, conn) { 2: if(error) { 3: // some error handling code 4: } 5: else { 6: // connection opened successfully 7: } 8: }); And then if we need to query the database the code would be like this. It nested in the previous function. 1: sql.open(connectionString, function(error, conn) { 2: if(error) { 3: // some error handling code 4: } 5: else { 6: // connection opened successfully 7: conn.queryRaw(command, function(error, results) { 8: if(error) { 9: // failed to execute this command 10: } 11: else { 12: // records retrieved successfully 13: } 14: }; 15: } 16: }); Assuming if we need to copy some data from this database to another then we need to open another connection and execute the command within the function under the query function. 1: sql.open(connectionString, function(error, conn) { 2: if(error) { 3: // some error handling code 4: } 5: else { 6: // connection opened successfully 7: conn.queryRaw(command, function(error, results) { 8: if(error) { 9: // failed to execute this command 10: } 11: else { 12: // records retrieved successfully 13: target.open(targetConnectionString, function(error, t_conn) { 14: if(error) { 15: // connect failed 16: } 17: else { 18: t_conn.queryRaw(copy_command, function(error, results) { 19: if(error) { 20: // copy failed 21: } 22: else { 23: // and then, what do you want to do now... 24: } 25: }; 26: } 27: }; 28: } 29: }; 30: } 31: }); This is just an example. In the real project the logic would be more complicated. This means our application might be messed up and the business process will be fragged by many callback functions. I would like call this “Dense Callback Phobia”. This might be a challenge how to make code straightforward and easy to read, something like below. 1: try 2: { 3: // open source connection 4: var s_conn = sqlConnect(s_connectionString); 5: // retrieve data 6: var results = sqlExecuteCommand(s_conn, s_command); 7: 8: // open target connection 9: var t_conn = sqlConnect(t_connectionString); 10: // prepare the copy command 11: var t_command = getCopyCommand(results); 12: // execute the copy command 13: sqlExecuteCommand(s_conn, t_command); 14: } 15: catch (ex) 16: { 17: // error handling 18: }   What’s the Problem: Sync-styled Async Programming Similar as the previous problem, the callback-styled async programming model makes the upcoming operation as a part of the current operation, and mixed with the error handling code. So it’s very hard to understand what on earth this code will do. And since Node.js utilizes non-blocking IO mode, we cannot invoke those operations one by one, as they will be executed concurrently. For example, in this post when I tried to copy the records from Windows Azure SQL Database (a.k.a. WASD) to Windows Azure Table Storage, if I just insert the data into table storage one by one and then print the “Finished” message, I will see the message shown before the data had been copied. This is because all operations were executed at the same time. In order to make the copy operation and print operation executed synchronously I introduced a module named “async” and the code was changed as below. 1: async.forEach(results.rows, 2: function (row, callback) { 3: var resource = { 4: "PartitionKey": row[1], 5: "RowKey": row[0], 6: "Value": row[2] 7: }; 8: client.insertEntity(tableName, resource, function (error) { 9: if (error) { 10: callback(error); 11: } 12: else { 13: console.log("entity inserted."); 14: callback(null); 15: } 16: }); 17: }, 18: function (error) { 19: if (error) { 20: error["target"] = "insertEntity"; 21: res.send(500, error); 22: } 23: else { 24: console.log("all done."); 25: res.send(200, "Done!"); 26: } 27: }); It ensured that the “Finished” message will be printed when all table entities had been inserted. But it cannot promise that the records will be inserted in sequence. It might be another challenge to make the code looks like in sync-style? 1: try 2: { 3: forEach(row in rows) { 4: var entity = { /* ... */ }; 5: tableClient.insert(tableName, entity); 6: } 7:  8: console.log("Finished"); 9: } 10: catch (ex) { 11: console.log(ex); 12: }   How “Wind” Helps “Wind” is a JavaScript library which provides the control flow with plain JavaScript for asynchronous programming (and more) without additional pre-compiling steps. It’s available in NPM so that we can install it through “npm install wind”. Now let’s create a very simple Node.js application as the example. This application will take some website URLs from the command arguments and tried to retrieve the body length and print them in console. Then at the end print “Finish”. I’m going to use “request” module to make the HTTP call simple so I also need to install by the command “npm install request”. The code would be like this. 1: var request = require("request"); 2:  3: // get the urls from arguments, the first two arguments are `node.exe` and `fetch.js` 4: var args = process.argv.splice(2); 5:  6: // main function 7: var main = function() { 8: for(var i = 0; i < args.length; i++) { 9: // get the url 10: var url = args[i]; 11: // send the http request and try to get the response and body 12: request(url, function(error, response, body) { 13: if(!error && response.statusCode == 200) { 14: // log the url and the body length 15: console.log( 16: "%s: %d.", 17: response.request.uri.href, 18: body.length); 19: } 20: else { 21: // log error 22: console.log(error); 23: } 24: }); 25: } 26: 27: // finished 28: console.log("Finished"); 29: }; 30:  31: // execute the main function 32: main(); Let’s execute this application. (I made them in multi-lines for better reading.) 1: node fetch.js 2: "http://www.igt.com/us-en.aspx" 3: "http://www.igt.com/us-en/games.aspx" 4: "http://www.igt.com/us-en/cabinets.aspx" 5: "http://www.igt.com/us-en/systems.aspx" 6: "http://www.igt.com/us-en/interactive.aspx" 7: "http://www.igt.com/us-en/social-gaming.aspx" 8: "http://www.igt.com/support.aspx" Below is the output. As you can see the finish message was printed at the beginning, and the pages’ length retrieved in a different order than we specified. This is because in this code the request command, console logging command are executed asynchronously and concurrently. Now let’s introduce “Wind” to make them executed in order, which means it will request the websites one by one, and print the message at the end.   First of all we need to import the “Wind” package and make sure the there’s only one global variant named “Wind”, and ensure it’s “Wind” instead of “wind”. 1: var Wind = require("wind");   Next, we need to tell “Wind” which code will be executed asynchronously so that “Wind” can control the execution process. In this case the “request” operation executed asynchronously so we will create a “Task” by using a build-in helps function in “Wind” named Wind.Async.Task.create. 1: var requestBodyLengthAsync = function(url) { 2: return Wind.Async.Task.create(function(t) { 3: request(url, function(error, response, body) { 4: if(error || response.statusCode != 200) { 5: t.complete("failure", error); 6: } 7: else { 8: var data = 9: { 10: uri: response.request.uri.href, 11: length: body.length 12: }; 13: t.complete("success", data); 14: } 15: }); 16: }); 17: }; The code above created a “Task” from the original request calling code. In “Wind” a “Task” means an operation will be finished in some time in the future. A “Task” can be started by invoke its start() method, but no one knows when it actually will be finished. The Wind.Async.Task.create helped us to create a task. The only parameter is a function where we can put the actual operation in, and then notify the task object it’s finished successfully or failed by using the complete() method. In the code above I invoked the request method. If it retrieved the response successfully I set the status of this task as “success” with the URL and body length. If it failed I set this task as “failure” and pass the error out.   Next, we will change the main() function. In “Wind” if we want a function can be controlled by Wind we need to mark it as “async”. This should be done by using the code below. 1: var main = eval(Wind.compile("async", function() { 2: })); When the application is running, Wind will detect “eval(Wind.compile(“async”, function” and generate an anonymous code from the body of this original function. Then the application will run the anonymous code instead of the original one. In our example the main function will be like this. 1: var main = eval(Wind.compile("async", function() { 2: for(var i = 0; i < args.length; i++) { 3: try 4: { 5: var result = $await(requestBodyLengthAsync(args[i])); 6: console.log( 7: "%s: %d.", 8: result.uri, 9: result.length); 10: } 11: catch (ex) { 12: console.log(ex); 13: } 14: } 15: 16: console.log("Finished"); 17: })); As you can see, when I tried to request the URL I use a new command named “$await”. It tells Wind, the operation next to $await will be executed asynchronously, and the main thread should be paused until it finished (or failed). So in this case, my application will be pause when the first response was received, and then print its body length, then try the next one. At the end, print the finish message.   Finally, execute the main function. The full code would be like this. 1: var request = require("request"); 2: var Wind = require("wind"); 3:  4: var args = process.argv.splice(2); 5:  6: var requestBodyLengthAsync = function(url) { 7: return Wind.Async.Task.create(function(t) { 8: request(url, function(error, response, body) { 9: if(error || response.statusCode != 200) { 10: t.complete("failure", error); 11: } 12: else { 13: var data = 14: { 15: uri: response.request.uri.href, 16: length: body.length 17: }; 18: t.complete("success", data); 19: } 20: }); 21: }); 22: }; 23:  24: var main = eval(Wind.compile("async", function() { 25: for(var i = 0; i < args.length; i++) { 26: try 27: { 28: var result = $await(requestBodyLengthAsync(args[i])); 29: console.log( 30: "%s: %d.", 31: result.uri, 32: result.length); 33: } 34: catch (ex) { 35: console.log(ex); 36: } 37: } 38: 39: console.log("Finished"); 40: })); 41:  42: main().start();   Run our new application. At the beginning we will see the compiled and generated code by Wind. Then we can see the pages were requested one by one, and at the end the finish message was printed. Below is the code Wind generated for us. As you can see the original code, the output code were shown. 1: // Original: 2: function () { 3: for(var i = 0; i < args.length; i++) { 4: try 5: { 6: var result = $await(requestBodyLengthAsync(args[i])); 7: console.log( 8: "%s: %d.", 9: result.uri, 10: result.length); 11: } 12: catch (ex) { 13: console.log(ex); 14: } 15: } 16: 17: console.log("Finished"); 18: } 19:  20: // Compiled: 21: /* async << function () { */ (function () { 22: var _builder_$0 = Wind.builders["async"]; 23: return _builder_$0.Start(this, 24: _builder_$0.Combine( 25: _builder_$0.Delay(function () { 26: /* var i = 0; */ var i = 0; 27: /* for ( */ return _builder_$0.For(function () { 28: /* ; i < args.length */ return i < args.length; 29: }, function () { 30: /* ; i ++) { */ i ++; 31: }, 32: /* try { */ _builder_$0.Try( 33: _builder_$0.Delay(function () { 34: /* var result = $await(requestBodyLengthAsync(args[i])); */ return _builder_$0.Bind(requestBodyLengthAsync(args[i]), function (result) { 35: /* console.log("%s: %d.", result.uri, result.length); */ console.log("%s: %d.", result.uri, result.length); 36: return _builder_$0.Normal(); 37: }); 38: }), 39: /* } catch (ex) { */ function (ex) { 40: /* console.log(ex); */ console.log(ex); 41: return _builder_$0.Normal(); 42: /* } */ }, 43: null 44: ) 45: /* } */ ); 46: }), 47: _builder_$0.Delay(function () { 48: /* console.log("Finished"); */ console.log("Finished"); 49: return _builder_$0.Normal(); 50: }) 51: ) 52: ); 53: /* } */ })   How Wind Works Someone may raise a big concern when you find I utilized “eval” in my code. Someone may assume that Wind utilizes “eval” to execute some code dynamically while “eval” is very low performance. But I would say, Wind does NOT use “eval” to run the code. It only use “eval” as a flag to know which code should be compiled at runtime. When the code was firstly been executed, Wind will check and find “eval(Wind.compile(“async”, function”. So that it knows this function should be compiled. Then it utilized parse-js to analyze the inner JavaScript and generated the anonymous code in memory. Then it rewrite the original code so that when the application was running it will use the anonymous one instead of the original one. Since the code generation was done at the beginning of the application was started, in the future no matter how long our application runs and how many times the async function was invoked, it will use the generated code, no need to generate again. So there’s no significant performance hurt when using Wind.   Wind in My Previous Demo Let’s adopt Wind into one of my previous demonstration and to see how it helps us to make our code simple, straightforward and easy to read and understand. In this post when I implemented the functionality that copied the records from my WASD to table storage, the logic would be like this. 1, Open database connection. 2, Execute a query to select all records from the table. 3, Recreate the table in Windows Azure table storage. 4, Create entities from each of the records retrieved previously, and then insert them into table storage. 5, Finally, show message as the HTTP response. But as the image below, since there are so many callbacks and async operations, it’s very hard to understand my logic from the code. Now let’s use Wind to rewrite our code. First of all, of course, we need the Wind package. Then we need to include the package files into project and mark them as “Copy always”. Add the Wind package into the source code. Pay attention to the variant name, you must use “Wind” instead of “wind”. 1: var express = require("express"); 2: var async = require("async"); 3: var sql = require("node-sqlserver"); 4: var azure = require("azure"); 5: var Wind = require("wind"); Now we need to create some async functions by using Wind. All async functions should be wrapped so that it can be controlled by Wind which are open database, retrieve records, recreate table (delete and create) and insert entity in table. Below are these new functions. All of them are created by using Wind.Async.Task.create. 1: sql.openAsync = function (connectionString) { 2: return Wind.Async.Task.create(function (t) { 3: sql.open(connectionString, function (error, conn) { 4: if (error) { 5: t.complete("failure", error); 6: } 7: else { 8: t.complete("success", conn); 9: } 10: }); 11: }); 12: }; 13:  14: sql.queryAsync = function (conn, query) { 15: return Wind.Async.Task.create(function (t) { 16: conn.queryRaw(query, function (error, results) { 17: if (error) { 18: t.complete("failure", error); 19: } 20: else { 21: t.complete("success", results); 22: } 23: }); 24: }); 25: }; 26:  27: azure.recreateTableAsync = function (tableName) { 28: return Wind.Async.Task.create(function (t) { 29: client.deleteTable(tableName, function (error, successful, response) { 30: console.log("delete table finished"); 31: client.createTableIfNotExists(tableName, function (error, successful, response) { 32: console.log("create table finished"); 33: if (error) { 34: t.complete("failure", error); 35: } 36: else { 37: t.complete("success", null); 38: } 39: }); 40: }); 41: }); 42: }; 43:  44: azure.insertEntityAsync = function (tableName, entity) { 45: return Wind.Async.Task.create(function (t) { 46: client.insertEntity(tableName, entity, function (error, entity, response) { 47: if (error) { 48: t.complete("failure", error); 49: } 50: else { 51: t.complete("success", null); 52: } 53: }); 54: }); 55: }; Then in order to use these functions we will create a new function which contains all steps for data copying. 1: var copyRecords = eval(Wind.compile("async", function (req, res) { 2: try { 3: } 4: catch (ex) { 5: console.log(ex); 6: res.send(500, "Internal error."); 7: } 8: })); Let’s execute steps one by one with the “$await” keyword introduced by Wind so that it will be invoked in sequence. First is to open the database connection. 1: var copyRecords = eval(Wind.compile("async", function (req, res) { 2: try { 3: // connect to the windows azure sql database 4: var conn = $await(sql.openAsync(connectionString)); 5: console.log("connection opened"); 6: } 7: catch (ex) { 8: console.log(ex); 9: res.send(500, "Internal error."); 10: } 11: })); Then retrieve all records from the database connection. 1: var copyRecords = eval(Wind.compile("async", function (req, res) { 2: try { 3: // connect to the windows azure sql database 4: var conn = $await(sql.openAsync(connectionString)); 5: console.log("connection opened"); 6: // retrieve all records from database 7: var results = $await(sql.queryAsync(conn, "SELECT * FROM [Resource]")); 8: console.log("records selected. count = %d", results.rows.length); 9: } 10: catch (ex) { 11: console.log(ex); 12: res.send(500, "Internal error."); 13: } 14: })); After recreated the table, we need to create the entities and insert them into table storage. 1: var copyRecords = eval(Wind.compile("async", function (req, res) { 2: try { 3: // connect to the windows azure sql database 4: var conn = $await(sql.openAsync(connectionString)); 5: console.log("connection opened"); 6: // retrieve all records from database 7: var results = $await(sql.queryAsync(conn, "SELECT * FROM [Resource]")); 8: console.log("records selected. count = %d", results.rows.length); 9: if (results.rows.length > 0) { 10: // recreate the table 11: $await(azure.recreateTableAsync(tableName)); 12: console.log("table created"); 13: // insert records in table storage one by one 14: for (var i = 0; i < results.rows.length; i++) { 15: var entity = { 16: "PartitionKey": results.rows[i][1], 17: "RowKey": results.rows[i][0], 18: "Value": results.rows[i][2] 19: }; 20: $await(azure.insertEntityAsync(tableName, entity)); 21: console.log("entity inserted"); 22: } 23: } 24: } 25: catch (ex) { 26: console.log(ex); 27: res.send(500, "Internal error."); 28: } 29: })); Finally, send response back to the browser. 1: var copyRecords = eval(Wind.compile("async", function (req, res) { 2: try { 3: // connect to the windows azure sql database 4: var conn = $await(sql.openAsync(connectionString)); 5: console.log("connection opened"); 6: // retrieve all records from database 7: var results = $await(sql.queryAsync(conn, "SELECT * FROM [Resource]")); 8: console.log("records selected. count = %d", results.rows.length); 9: if (results.rows.length > 0) { 10: // recreate the table 11: $await(azure.recreateTableAsync(tableName)); 12: console.log("table created"); 13: // insert records in table storage one by one 14: for (var i = 0; i < results.rows.length; i++) { 15: var entity = { 16: "PartitionKey": results.rows[i][1], 17: "RowKey": results.rows[i][0], 18: "Value": results.rows[i][2] 19: }; 20: $await(azure.insertEntityAsync(tableName, entity)); 21: console.log("entity inserted"); 22: } 23: // send response 24: console.log("all done"); 25: res.send(200, "All done!"); 26: } 27: } 28: catch (ex) { 29: console.log(ex); 30: res.send(500, "Internal error."); 31: } 32: })); If we compared with the previous code we will find now it became more readable and much easy to understand. It’s very easy to know what this function does even though without any comments. When user go to URL “/was/copyRecords” we will execute the function above. The code would be like this. 1: app.get("/was/copyRecords", function (req, res) { 2: copyRecords(req, res).start(); 3: }); And below is the logs printed in local compute emulator console. As we can see the functions executed one by one and then finally the response back to me browser.   Scaffold Functions in Wind Wind provides not only the async flow control and compile functions, but many scaffold methods as well. We can build our async code more easily by using them. I’m going to introduce some basic scaffold functions here. In the code above I created some functions which wrapped from the original async function such as open database, create table, etc.. All of them are very similar, created a task by using Wind.Async.Task.create, return error or result object through Task.complete function. In fact, Wind provides some functions for us to create task object from the original async functions. If the original async function only has a callback parameter, we can use Wind.Async.Binding.fromCallback method to get the task object directly. For example the code below returned the task object which wrapped the file exist check function. 1: var Wind = require("wind"); 2: var fs = require("fs"); 3:  4: fs.existsAsync = Wind.Async.Binding.fromCallback(fs.exists); In Node.js a very popular async function pattern is that, the first parameter in the callback function represent the error object, and the other parameters is the return values. In this case we can use another build-in function in Wind named Wind.Async.Binding.fromStandard. For example, the open database function can be created from the code below. 1: sql.openAsync = Wind.Async.Binding.fromStandard(sql.open); 2:  3: /* 4: sql.openAsync = function (connectionString) { 5: return Wind.Async.Task.create(function (t) { 6: sql.open(connectionString, function (error, conn) { 7: if (error) { 8: t.complete("failure", error); 9: } 10: else { 11: t.complete("success", conn); 12: } 13: }); 14: }); 15: }; 16: */ When I was testing the scaffold functions under Wind.Async.Binding I found for some functions, such as the Azure SDK insert entity function, cannot be processed correctly. So I personally suggest writing the wrapped method manually.   Another scaffold method in Wind is the parallel tasks coordination. In this example, the steps of open database, retrieve records and recreated table should be invoked one by one, but it can be executed in parallel when copying data from database to table storage. In Wind there’s a scaffold function named Task.whenAll which can be used here. Task.whenAll accepts a list of tasks and creates a new task. It will be returned only when all tasks had been completed, or any errors occurred. For example in the code below I used the Task.whenAll to make all copy operation executed at the same time. 1: var copyRecordsInParallel = eval(Wind.compile("async", function (req, res) { 2: try { 3: // connect to the windows azure sql database 4: var conn = $await(sql.openAsync(connectionString)); 5: console.log("connection opened"); 6: // retrieve all records from database 7: var results = $await(sql.queryAsync(conn, "SELECT * FROM [Resource]")); 8: console.log("records selected. count = %d", results.rows.length); 9: if (results.rows.length > 0) { 10: // recreate the table 11: $await(azure.recreateTableAsync(tableName)); 12: console.log("table created"); 13: // insert records in table storage in parallal 14: var tasks = new Array(results.rows.length); 15: for (var i = 0; i < results.rows.length; i++) { 16: var entity = { 17: "PartitionKey": results.rows[i][1], 18: "RowKey": results.rows[i][0], 19: "Value": results.rows[i][2] 20: }; 21: tasks[i] = azure.insertEntityAsync(tableName, entity); 22: } 23: $await(Wind.Async.Task.whenAll(tasks)); 24: // send response 25: console.log("all done"); 26: res.send(200, "All done!"); 27: } 28: } 29: catch (ex) { 30: console.log(ex); 31: res.send(500, "Internal error."); 32: } 33: })); 34:  35: app.get("/was/copyRecordsInParallel", function (req, res) { 36: copyRecordsInParallel(req, res).start(); 37: });   Besides the task creation and coordination, Wind supports the cancellation solution so that we can send the cancellation signal to the tasks. It also includes exception solution which means any exceptions will be reported to the caller function.   Summary In this post I introduced a Node.js module named Wind, which created by my friend Jeff Zhao. As you can see, different from other async library and framework, adopted the idea from F# and C#, Wind utilizes runtime code generation technology to make it more easily to write async, callback-based functions in a sync-style way. By using Wind there will be almost no callback, and the code will be very easy to understand. Currently Wind is still under developed and improved. There might be some problems but the author, Jeff, should be very happy and enthusiastic to learn your problems, feedback, suggestion and comments. You can contact Jeff by - Email: [email protected] - Group: https://groups.google.com/d/forum/windjs - GitHub: https://github.com/JeffreyZhao/wind/issues   Source code can be download here.   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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  • Scaling a video processing application on EC2?

    - by Stpn
    I am approaching the need to scale a video-processign application that runs on EC2. So far the setup is one machine: Backbonejs frontend Rails 3.2 Postgresql Resque + S3 for storage The flow of the app is as follows: 1) Request from frontend. Upload a video. 2) Storing video 3) Quering external APIs. 4) Processing / encoding videos. 5) Post to frontend. I can separate the backend and frontend without any problems, but when it comes to distributing the backend between several servers I am a bit puzzled. I can probably come up with a temporary solution (like just duplicating apps making several instances), but since I don't really have expertise in backend system administration, there can be some fundamental mistakes.. Also I would rather have something that is scalable. I wonder if anyone can give some feedback on the following plan: A) Frontend machine. Just frontend, talks to backend via REST Api of sorts. B) Backend server (BS), main database. Gets request from 1), posts to 2) saves uploads to 3) C) S3 storage. D) Server for quering APIs. Basically just a Resque workers, that post info back to 2) E) Server for video encoding. Processes videos uploaded on 3) and uploads them back. So I will have: A)frontend \ \ B)MAIN_APP/DB ----- C)S3 Storage (Files) / \ / / \ / D)ExternalAPI_queries E)Video_Processing (redundant DB) (redundant DB) All this will supposedly talk to each other via HTTP requests. My reason for this is that Video Processing part is really the most resource-intensive and I would just run barebones application that accepts requests and starts processing them. Questions: 1) In this setup I will have the main database at B) and all other servers will communicate with it via HTTP requests (and store duplicates of databases also I guess..for safety reasons). Is it the right approach or should I have 1 database that everyone connects to (how then?) 2) Is it a good idea to separate API queries from Video Processing part? Logically they are very close (processing is determined by the result of API queries), but resource-wise Video Processing is waaay more intensive. 3) what should I use to distribute calls between backend apps based on load?

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  • Best Linux Distro for web services (Nginx & node.js) on laptop: Compaq 6710b?

    - by tomByrer
    I haven't used Linux in 5+ years, aside from d/l occasional system recovery CDs off DistroWatch, so I don't know the current landscape. Related postings on this forum are several years old & may not relate to my hardware (Compaq 6710b laptop, Core2Duo Centrino). Requirements: Use the Compaq 6710b laptop's WiFi out of the box enough frequently updated pre-made packages for web hosting & development (Nginx & node.js are biggest concerns, everyone has Apache & PHP, & I'm not crazy about building from source) prefer be easy enough to use, but outside help available (so a small user-base distro is only OK if the community is active & a major disto's packages are compatable) configuration easy to transfer to outside web hosts. You have actually installed/used recommended disto (don't have to be expert) TIA!

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  • Processing Email in Outlook

    - by Daniel Moth
    A. Why Goal 1 = Help others: Have at most a 24-hour response turnaround to internal (from colleague) emails, typically achieving same day response. Goal 2 = Help projects: Not to implicitly pass/miss an opportunity to have impact on electronic discussions around any project on the radar. Not achieving goals 1 & 2 = Colleagues stop relying on you, drop you off conversations, don't see you as a contributing resource or someone that cares, you are perceived as someone with no peripheral vision. Note this is perfect if all you are doing is cruising at your job, trying to fly under the radar, with no ambitions of having impact beyond your absolute minimum 'day job'. B. DON'T: Leave unread email lurking around Don't: Receive or process all incoming emails in a single folder ('inbox' or 'unread mail'). This is actually possible if you receive a small number of emails (e.g. new to the job, not working at a company like Microsoft). Even so, with (your future) success at any level (company, community) comes large incoming email, so learn to deal with it. With large volumes, it is best to let the system help you by doing some categorization and filtering on your behalf (instead of trying to do that in your head as you process the single folder). See later section on how to achieve this. Don't: Leave emails as 'unread' (or worse: read them, then mark them as unread). Often done by individuals who think they possess super powers ("I can mentally cache and distinguish between the emails I chose not to read, the ones that are actually new, and the ones I decided to revisit in the future; the fact that they all show up the same (bold = unread) does not confuse me"). Interactions with this super-powered individuals typically end up with them saying stuff like "I must have missed that email you are talking about (from 2 weeks ago)" or "I am a bit behind, so I haven't read your email, can you remind me". TIP: The only place where you are "allowed" unread email is in your Deleted Items folder. Don't: Interpret a read email as an email that has been processed. Doing that, means you will always end up with fake unread email (that you have actually read, but haven't dealt with completely so you then marked it as unread) lurking between actual unread email. Another side effect is reading the email and making a 'mental' note to action it, then leaving the email as read, so the only thing left to remind you to carry out the action is… you. You are not super human, you will forget. This is a key distinction. Reading (or even scanning) a new email, means you now know what needs to be done with it, in order for it to be truly considered processed. Truly processing an email is to, for example, write an email of your own (e.g. to reply or forward), or take a non-email related action (e.g. create calendar entry, do something on some website), or read it carefully to gain some knowledge (e.g. it had a spec as an attachment), or keep it around as reference etc. 'Reading' means that you know what to do, not that you have done it. An email that is read is an email that is triaged, not an email that is resolved. Sometimes the thing that needs to be done based on receiving the email, you can (and want) to do immediately after reading the email. That is fine, you read the email and you processed it (typically when it takes no longer than X minutes, where X is your personal tolerance – mine is roughly 2 minutes). Other times, you decide that you don't want to spend X minutes at that moment, so after reading the email you need a quick system for "marking" the email as to be processed later (and you still leave it as 'read' in outlook). See later section for how. C. DO: Use Outlook rules and have multiple folders where incoming email is automatically moved to Outlook email rules are very powerful and easy to configure. Use them to automatically file email into folders. Here are mine (note that if a rule catches an email message then no further rules get processed): "personal" Email is either personal or business related. Almost all personal email goes to my gmail account. The personal emails that end up on my work email account, go to a dedicated folder – that is achieved via a rule that looks at the email's 'From' field. For those that slip through, I use the new Outlook 2010  quick step of "Conversation To Folder" feature to let the slippage only occur once per conversation, and then update my rules. "External" and "ViaBlog" The remaining external emails either come from my blog (rule on the subject line) or are unsolicited (rule on the domain name not being microsoft) and they are filed accordingly. "invites" I may do a separate blog post on calendar management, but suffice to say it should be kept up to date. All invite requests end up in this folder, so that even if mail gets out of control, the calendar can stay under control (only 1 folder to check). I.e. so I can let the organizer know why I won't be attending their meeting (or that I will be). Note: This folder is the only one that shows the total number of items in it, instead of the total unread. "Inbox" The only email that ends up here is email sent TO me and me only. Note that this is also the only email that shows up above the systray icon in the notification toast – all other emails cannot interrupt. "ToMe++" Email where I am on the TO line, but there are other recipients as well (on the TO or CC line). "CC" Email where I am on the CC line. I need to read these, but nobody is expecting a response or action from me so they are not as urgent (and if they are and follow up with me, they'll receive a link to this). "@ XYZ" Emails to aliases that are about projects that I directly work on (and I wasn't on the TO or CC line, of course). Test: these projects are in my commitments that I get measured on at the end of the year. "Z Mass" and subfolders under it per distribution list (DL) Emails to aliases that are about topics that I am interested in, but not that I formally own/contribute to. Test: if I unsubscribed from these aliases, nobody could rightfully complain. "Admin" folder, which resides under "Z Mass" folder Emails to aliases that I was added typically by an admin, e.g. broad emails to the floor/group/org/building/division/company that I am a member of. "BCC" folder, which resides under "Z Mass" Emails where I was not on the TO or the CC line explicitly and the alias it was sent to is not one I explicitly subscribed to (or I have been added to the BCC line, which I briefly touched on in another post). When there are only a few quick minutes to catch up on email, read as much as possible from these folders, in this order: Invites, Inbox, ToMe++. Only when these folders are all read (remember that doesn't mean that each email in them has been fully dealt with), we can move on to the @XYZ and then the CC folders. Only when those are read we can go on to the remaining folders. Note that the typical flow in the "Z Mass" subfolders is to scan subject lines and use the new Ctrl+Delete Outlook 2010 feature to ignore conversations. D. DO: Use Outlook Search folders in combination with categories As you process each folder, when you open a new email (i.e. click on it and read it in the preview pane) the email becomes read and stays read and you have to decide whether: It can take 2 minutes to deal with for good, right now, or It will take longer than 2 minutes, so it needs to be postponed with a clear next step, which is one of ToReply – there may be intermediate action steps, but ultimately someone else needs to receive email about this Action – no email is required, but I need to do something ReadLater – no email is required from the quick scan, but this is too long to fully read now, so it needs to be read it later WaitingFor – the email is informing of an intermediate status and 'promising' a future email update. Need to track. SomedayMaybe – interesting but not important, non-urgent, non-time-bound information. I may want to spend part of one of my weekends reading it. For all these 'next steps' use Outlook categories (right click on the email and assign category, or use shortcut key). Note that I also use category 'WaitingFor' for email that I send where I am expecting a response and need to track it. Create a new search folder for each category (I dragged the search folders into my favorites at the top left of Outlook, above my inboxes). So after the activity of reading/triaging email in the normal folders (where the email arrived) is done, the result is a bunch of emails appearing in the search folders (configure them to show the total items, not the total unread items). To actually process email (that takes more than 2 minutes to deal with) process the search folders, starting with ToReply and Action. E. DO: Get into a Routine Now you have a system in place, get into a routine of using it. Here is how I personally use mine, but this part I keep tweaking: Spend short bursts of time (between meetings, during boring but mandatory meetings and, in general, 2-4 times a day) aiming to have no unread emails (and in the process deal with some emails that take less than 2 minutes). Spend around 30 minutes at the end of each day processing most urgent items in search folders. Spend as long as it takes each Friday (or even the weekend) ensuring there is no unnecessary email baggage carried forward to the following week. F. Other resources Official Outlook help on: Create custom actions rules, Manage e-mail messages with rules, creating a search folder. Video on ignoring conversations (Ctrl+Del). Official blog post on Quick Steps and in particular the Move Conversation to folder. If you've read "Getting Things Done" it is very obvious that my approach to email management is driven by GTD. A very similar approach was described previously by ScottHa (also influenced by GTD), worth reading here. He also described how he sets up 2 outlook rules ('invites' and 'external') which I also use – worth reading that too. Comments about this post welcome at the original blog.

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  • Processing Email in Outlook

    - by Daniel Moth
    A. Why Goal 1 = Help others: Have at most a 24-hour response turnaround to internal (from colleague) emails, typically achieving same day response. Goal 2 = Help projects: Not to implicitly pass/miss an opportunity to have impact on electronic discussions around any project on the radar. Not achieving goals 1 & 2 = Colleagues stop relying on you, drop you off conversations, don't see you as a contributing resource or someone that cares, you are perceived as someone with no peripheral vision. Note this is perfect if all you are doing is cruising at your job, trying to fly under the radar, with no ambitions of having impact beyond your absolute minimum 'day job'. B. DON'T: Leave unread email lurking around Don't: Receive or process all incoming emails in a single folder ('inbox' or 'unread mail'). This is actually possible if you receive a small number of emails (e.g. new to the job, not working at a company like Microsoft). Even so, with (your future) success at any level (company, community) comes large incoming email, so learn to deal with it. With large volumes, it is best to let the system help you by doing some categorization and filtering on your behalf (instead of trying to do that in your head as you process the single folder). See later section on how to achieve this. Don't: Leave emails as 'unread' (or worse: read them, then mark them as unread). Often done by individuals who think they possess super powers ("I can mentally cache and distinguish between the emails I chose not to read, the ones that are actually new, and the ones I decided to revisit in the future; the fact that they all show up the same (bold = unread) does not confuse me"). Interactions with this super-powered individuals typically end up with them saying stuff like "I must have missed that email you are talking about (from 2 weeks ago)" or "I am a bit behind, so I haven't read your email, can you remind me". TIP: The only place where you are "allowed" unread email is in your Deleted Items folder. Don't: Interpret a read email as an email that has been processed. Doing that, means you will always end up with fake unread email (that you have actually read, but haven't dealt with completely so you then marked it as unread) lurking between actual unread email. Another side effect is reading the email and making a 'mental' note to action it, then leaving the email as read, so the only thing left to remind you to carry out the action is… you. You are not super human, you will forget. This is a key distinction. Reading (or even scanning) a new email, means you now know what needs to be done with it, in order for it to be truly considered processed. Truly processing an email is to, for example, write an email of your own (e.g. to reply or forward), or take a non-email related action (e.g. create calendar entry, do something on some website), or read it carefully to gain some knowledge (e.g. it had a spec as an attachment), or keep it around as reference etc. 'Reading' means that you know what to do, not that you have done it. An email that is read is an email that is triaged, not an email that is resolved. Sometimes the thing that needs to be done based on receiving the email, you can (and want) to do immediately after reading the email. That is fine, you read the email and you processed it (typically when it takes no longer than X minutes, where X is your personal tolerance – mine is roughly 2 minutes). Other times, you decide that you don't want to spend X minutes at that moment, so after reading the email you need a quick system for "marking" the email as to be processed later (and you still leave it as 'read' in outlook). See later section for how. C. DO: Use Outlook rules and have multiple folders where incoming email is automatically moved to Outlook email rules are very powerful and easy to configure. Use them to automatically file email into folders. Here are mine (note that if a rule catches an email message then no further rules get processed): "personal" Email is either personal or business related. Almost all personal email goes to my gmail account. The personal emails that end up on my work email account, go to a dedicated folder – that is achieved via a rule that looks at the email's 'From' field. For those that slip through, I use the new Outlook 2010  quick step of "Conversation To Folder" feature to let the slippage only occur once per conversation, and then update my rules. "External" and "ViaBlog" The remaining external emails either come from my blog (rule on the subject line) or are unsolicited (rule on the domain name not being microsoft) and they are filed accordingly. "invites" I may do a separate blog post on calendar management, but suffice to say it should be kept up to date. All invite requests end up in this folder, so that even if mail gets out of control, the calendar can stay under control (only 1 folder to check). I.e. so I can let the organizer know why I won't be attending their meeting (or that I will be). Note: This folder is the only one that shows the total number of items in it, instead of the total unread. "Inbox" The only email that ends up here is email sent TO me and me only. Note that this is also the only email that shows up above the systray icon in the notification toast – all other emails cannot interrupt. "ToMe++" Email where I am on the TO line, but there are other recipients as well (on the TO or CC line). "CC" Email where I am on the CC line. I need to read these, but nobody is expecting a response or action from me so they are not as urgent (and if they are and follow up with me, they'll receive a link to this). "@ XYZ" Emails to aliases that are about projects that I directly work on (and I wasn't on the TO or CC line, of course). Test: these projects are in my commitments that I get measured on at the end of the year. "Z Mass" and subfolders under it per distribution list (DL) Emails to aliases that are about topics that I am interested in, but not that I formally own/contribute to. Test: if I unsubscribed from these aliases, nobody could rightfully complain. "Admin" folder, which resides under "Z Mass" folder Emails to aliases that I was added typically by an admin, e.g. broad emails to the floor/group/org/building/division/company that I am a member of. "BCC" folder, which resides under "Z Mass" Emails where I was not on the TO or the CC line explicitly and the alias it was sent to is not one I explicitly subscribed to (or I have been added to the BCC line, which I briefly touched on in another post). When there are only a few quick minutes to catch up on email, read as much as possible from these folders, in this order: Invites, Inbox, ToMe++. Only when these folders are all read (remember that doesn't mean that each email in them has been fully dealt with), we can move on to the @XYZ and then the CC folders. Only when those are read we can go on to the remaining folders. Note that the typical flow in the "Z Mass" subfolders is to scan subject lines and use the new Ctrl+Delete Outlook 2010 feature to ignore conversations. D. DO: Use Outlook Search folders in combination with categories As you process each folder, when you open a new email (i.e. click on it and read it in the preview pane) the email becomes read and stays read and you have to decide whether: It can take 2 minutes to deal with for good, right now, or It will take longer than 2 minutes, so it needs to be postponed with a clear next step, which is one of ToReply – there may be intermediate action steps, but ultimately someone else needs to receive email about this Action – no email is required, but I need to do something ReadLater – no email is required from the quick scan, but this is too long to fully read now, so it needs to be read it later WaitingFor – the email is informing of an intermediate status and 'promising' a future email update. Need to track. SomedayMaybe – interesting but not important, non-urgent, non-time-bound information. I may want to spend part of one of my weekends reading it. For all these 'next steps' use Outlook categories (right click on the email and assign category, or use shortcut key). Note that I also use category 'WaitingFor' for email that I send where I am expecting a response and need to track it. Create a new search folder for each category (I dragged the search folders into my favorites at the top left of Outlook, above my inboxes). So after the activity of reading/triaging email in the normal folders (where the email arrived) is done, the result is a bunch of emails appearing in the search folders (configure them to show the total items, not the total unread items). To actually process email (that takes more than 2 minutes to deal with) process the search folders, starting with ToReply and Action. E. DO: Get into a Routine Now you have a system in place, get into a routine of using it. Here is how I personally use mine, but this part I keep tweaking: Spend short bursts of time (between meetings, during boring but mandatory meetings and, in general, 2-4 times a day) aiming to have no unread emails (and in the process deal with some emails that take less than 2 minutes). Spend around 30 minutes at the end of each day processing most urgent items in search folders. Spend as long as it takes each Friday (or even the weekend) ensuring there is no unnecessary email baggage carried forward to the following week. F. Other resources Official Outlook help on: Create custom actions rules, Manage e-mail messages with rules, creating a search folder. Video on ignoring conversations (Ctrl+Del). Official blog post on Quick Steps and in particular the Move Conversation to folder. If you've read "Getting Things Done" it is very obvious that my approach to email management is driven by GTD. A very similar approach was described previously by ScottHa (also influenced by GTD), worth reading here. He also described how he sets up 2 outlook rules ('invites' and 'external') which I also use – worth reading that too. Comments about this post welcome at the original blog.

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  • Canon MX870 printer only shows "Processing" on the status LCD

    - by Nick
    I had my Canon MX870 installed perfectly fine in 11.10, but since upgrading to 12.04, it no longer works. The printer is recognized in print settings and when I attempt to print a test page, the printer LCD displays a "Processing" message, but then it disappears and nothing happens. Here are my logs (note that printing did not succeed despite the access logs showing success): # /var/log/cups/access_log localhost - - [22/May/2012:12:29:35 -0400] "POST /printers/Canon-MX870 HTTP/1.1" 200 412 Print-Job successful-ok - # /var/log/cups/error_log W [22/May/2012:12:25:51 -0400] failed to CreateProfile: org.freedesktop.ColorManager.AlreadyExists:profile id 'Canon-MX870-Gray..' already exists W [22/May/2012:12:25:51 -0400] failed to CreateProfile: org.freedesktop.ColorManager.AlreadyExists:profile id 'Canon-MX870-RGB..' already exists W [22/May/2012:12:25:51 -0400] failed to CreateDevice: org.freedesktop.ColorManager.AlreadyExists:device id 'cups-Canon-MX870' already exists W [22/May/2012:12:25:51 -0400] failed to CreateProfile: org.freedesktop.ColorManager.AlreadyExists:profile id 'Canon-MX870-Gray..' already exists W [22/May/2012:12:25:51 -0400] failed to CreateProfile: org.freedesktop.ColorManager.AlreadyExists:profile id 'Canon-MX870-RGB..' already exists W [22/May/2012:12:25:51 -0400] failed to CreateDevice: org.freedesktop.ColorManager.AlreadyExists:device id 'cups-Canon-MX870' already exists W [22/May/2012:12:25:51 -0400] failed to CreateProfile: org.freedesktop.ColorManager.AlreadyExists:profile id 'Canon-MX870-Gray..' already exists W [22/May/2012:12:25:51 -0400] failed to CreateProfile: org.freedesktop.ColorManager.AlreadyExists:profile id 'Canon-MX870-RGB..' already exists W [22/May/2012:12:25:51 -0400] failed to CreateDevice: org.freedesktop.ColorManager.AlreadyExists:device id 'cups-Canon-MX870' already exists W [22/May/2012:12:25:51 -0400] failed to CreateProfile: org.freedesktop.ColorManager.AlreadyExists:profile id 'Canon-MX870-Gray..' already exists W [22/May/2012:12:25:51 -0400] failed to CreateProfile: org.freedesktop.ColorManager.AlreadyExists:profile id 'Canon-MX870-RGB..' already exists W [22/May/2012:12:25:51 -0400] failed to CreateDevice: org.freedesktop.ColorManager.AlreadyExists:device id 'cups-Canon-MX870' already exists

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  • PCI compliance when using third-party processing

    - by Moses
    My company is outsourcing the development of our new e-commerce site to a third party web development company. The way they set up our site to handle transactions is by having the user enter the necessary payment info, then passing that data to a third party merchant that processes the payment, then completing the transaction if everything is good. When the issue of PCI/DSS compliance was raised, they said: You wont need PCI certification because the clients browser will send the sensitive information directly to the third party merchant when the transaction is processed. However, the process will be transparent to the user because all interface and displays are controlled by us. The only server required to be compliant is the third party merchant's because no sensitive card data ever touches your server or web app. Even though I very much so trust and respect the knowledge of our web developers, what they are saying is raising some serious red flags for me. The way the site is described, I am sure we will not be using a hosted payment page like PayPal or Google Checkout offers (how could we maintain control over UI if we were?) And while my knowledge of e-commerce is laughable at best, it seems like the only other option for us would be to use XML direct to communicate with our third party merchant for processing. My two questions are as follows: Based off everything you've read, is "XML Direct" the only option they could conceivably be using, or is there another method I don't know of which they could be implementing? Most importantly, is it true our site does not need PCI certification? As I understand it, using the XML direct method means that we do have to be PCI/DSS certified, and the only way around getting certified is through a payment hosted page (i.e. PayPal).

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  • Processing component pools problem - Entity Subsystem

    - by mani3xis
    Architecture description I'm creating (designing) an entity system and I ran into many problems. I'm trying to keep it Data-Oriented and efficient as much as possible. My components are POD structures (array of bytes to be precise) allocated in homogeneous pools. Each pool has a ComponentDescriptor - it just contains component name, field types and field names. Entity is just a pointer to array of components (where address acts like an entity ID). EntityPrototype contains entity name and array of component names. Finally Subsystem (System or Processor) which works on component pools. Actual problem The problem is that some components dependents on others (Model, Sprite, PhysicalBody, Animation depends on Transform component) which makes a lot of problems when it comes to processing them. For example, lets define some entities using [S]prite, [P]hysicalBody and [H]ealth: Tank: Transform, Sprite, PhysicalBody BgTree: Transform, Sprite House: Transform, Sprite, Health and create 4 Tanks, 5 BgTrees and 2 Houses and my pools will look like: TTTTTTTTTTT // Transform pool SSSSSSSSSSS // Sprite pool PPPP // PhysicalBody pool HH // Health component There is no way to process them using indices. I spend 3 days working on it and I still don't have any ideas. In previous designs TransformComponent was bound to the entity - but it wasn't a good idea. Can you give me some advices how to process them? Or maybe I should change the overall design? Maybe I should create pools of entites (pools of component pools) - but I guess it will be a nightmare for CPU caches. Thanks

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  • Processing Kinect v2 Color Streams in Parallel

    - by Chris Gardner
    Originally posted on: http://geekswithblogs.net/freestylecoding/archive/2014/08/20/processing-kinect-v2-color-streams-in-parallel.aspxProcessing Kinect v2 Color Streams in Parallel I've really been enjoying being a part of the Kinect for Windows Developer's Preview. The new hardware has some really impressive capabilities. However, with great power comes great system specs. Unfortunately, my little laptop that could is not 100% up to the task; I've had to get a little creative. The most disappointing thing I've run into is that I can't always cleanly display the color camera stream in managed code. I managed to strip the code down to what I believe is the bear minimum: using( ColorFrame _ColorFrame = e.FrameReference.AcquireFrame() ) { if( null == _ColorFrame ) return;   BitmapToDisplay.Lock(); _ColorFrame.CopyConvertedFrameDataToIntPtr( BitmapToDisplay.BackBuffer, Convert.ToUInt32( BitmapToDisplay.BackBufferStride * BitmapToDisplay.PixelHeight ), ColorImageFormat.Bgra ); BitmapToDisplay.AddDirtyRect( new Int32Rect( 0, 0, _ColorFrame.FrameDescription.Width, _ColorFrame.FrameDescription.Height ) ); BitmapToDisplay.Unlock(); } With this snippet, I'm placing the converted Bgra32 color stream directly on the BackBuffer of the WriteableBitmap. This gives me pretty smooth playback, but I still get the occasional freeze for half a second. After a bit of profiling, I discovered there were a few problems. The first problem is the size of the buffer along with the conversion on the buffer. At this time, the raw image format of the data from the Kinect is Yuy2. This is great for direct video processing. It would be ideal if I had a WriteableVideo object in WPF. However, this is not the case. Further digging led me to the real problem. It appears that the SDK is converting the input serially. Let's think about this for a second. The color camera is a 1080p camera. As we should all know, this give us a native resolution of 1920 x 1080. This produces 2,073,600 pixels. Yuy2 uses 4 bytes per 2 pixel, for a buffer size of 4,147,200 bytes. Bgra32 uses 4 bytes per pixel, for a buffer size of 8,294,400 bytes. The SDK appears to be doing this on one thread. I started wondering if I chould do this better myself. I mean, I have 8 cores in my system. Why can't I use them all? The first problem is converting a Yuy2 frame into a Bgra32 frame. It is NOT trivial. I spent a day of research of just how to do this. In the end, I didn't even produce the best algorithm possible, but it did work. After I managed to get that to work, I knew my next step was the get the conversion operation off the UI Thread. This was a simple process of throwing the work into a Task. Of course, this meant I had to marshal the final write to the WriteableBitmap back to the UI thread. Finally, I needed to vectorize the operation so I could run it safely in parallel. This was, mercifully, not quite as hard as I thought it would be. I had my loop return an index to a pair of pixels. From there, I had to tell the loop to do everything for this pair of pixels. If you're wondering why I did it for pairs of pixels, look back above at the specification for the Yuy2 format. I won't go into full detail on why each 4 bytes contains 2 pixels of information, but rest assured that there is a reason why the format is described in that way. The first working attempt at this algorithm successfully turned my poor laptop into a space heater. I very quickly brought and maintained all 8 cores up to about 97% usage. That's when I remembered that obscure option in the Task Parallel Library where you could limit the amount of parallelism used. After a little trial and error, I discovered 4 parallel tasks was enough for most cases. This yielded the follow code: private byte ClipToByte( int p_ValueToClip ) { return Convert.ToByte( ( p_ValueToClip < byte.MinValue ) ? byte.MinValue : ( ( p_ValueToClip > byte.MaxValue ) ? byte.MaxValue : p_ValueToClip ) ); }   private void ColorFrameArrived( object sender, ColorFrameArrivedEventArgs e ) { if( null == e.FrameReference ) return;   // If you do not dispose of the frame, you never get another one... using( ColorFrame _ColorFrame = e.FrameReference.AcquireFrame() ) { if( null == _ColorFrame ) return;   byte[] _InputImage = new byte[_ColorFrame.FrameDescription.LengthInPixels * _ColorFrame.FrameDescription.BytesPerPixel]; byte[] _OutputImage = new byte[BitmapToDisplay.BackBufferStride * BitmapToDisplay.PixelHeight]; _ColorFrame.CopyRawFrameDataToArray( _InputImage );   Task.Factory.StartNew( () => { ParallelOptions _ParallelOptions = new ParallelOptions(); _ParallelOptions.MaxDegreeOfParallelism = 4;   Parallel.For( 0, Sensor.ColorFrameSource.FrameDescription.LengthInPixels / 2, _ParallelOptions, ( _Index ) => { // See http://msdn.microsoft.com/en-us/library/windows/desktop/dd206750(v=vs.85).aspx int _Y0 = _InputImage[( _Index << 2 ) + 0] - 16; int _U = _InputImage[( _Index << 2 ) + 1] - 128; int _Y1 = _InputImage[( _Index << 2 ) + 2] - 16; int _V = _InputImage[( _Index << 2 ) + 3] - 128;   byte _R = ClipToByte( ( 298 * _Y0 + 409 * _V + 128 ) >> 8 ); byte _G = ClipToByte( ( 298 * _Y0 - 100 * _U - 208 * _V + 128 ) >> 8 ); byte _B = ClipToByte( ( 298 * _Y0 + 516 * _U + 128 ) >> 8 );   _OutputImage[( _Index << 3 ) + 0] = _B; _OutputImage[( _Index << 3 ) + 1] = _G; _OutputImage[( _Index << 3 ) + 2] = _R; _OutputImage[( _Index << 3 ) + 3] = 0xFF; // A   _R = ClipToByte( ( 298 * _Y1 + 409 * _V + 128 ) >> 8 ); _G = ClipToByte( ( 298 * _Y1 - 100 * _U - 208 * _V + 128 ) >> 8 ); _B = ClipToByte( ( 298 * _Y1 + 516 * _U + 128 ) >> 8 );   _OutputImage[( _Index << 3 ) + 4] = _B; _OutputImage[( _Index << 3 ) + 5] = _G; _OutputImage[( _Index << 3 ) + 6] = _R; _OutputImage[( _Index << 3 ) + 7] = 0xFF; } );   Application.Current.Dispatcher.Invoke( () => { BitmapToDisplay.WritePixels( new Int32Rect( 0, 0, Sensor.ColorFrameSource.FrameDescription.Width, Sensor.ColorFrameSource.FrameDescription.Height ), _OutputImage, BitmapToDisplay.BackBufferStride, 0 ); } ); } ); } } This seemed to yield a results I wanted, but there was still the occasional stutter. This lead to what I realized was the second problem. There is a race condition between the UI Thread and me locking the WriteableBitmap so I can write the next frame. Again, I'm writing approximately 8MB to the back buffer. Then, I started thinking I could cheat. The Kinect is running at 30 frames per second. The WPF UI Thread runs at 60 frames per second. This made me not feel bad about exploiting the Composition Thread. I moved the bulk of the code from the FrameArrived handler into CompositionTarget.Rendering. Once I was in there, I polled from a frame, and rendered it if it existed. Since, in theory, I'm only killing the Composition Thread every other hit, I decided I was ok with this for cases where silky smooth video performance REALLY mattered. This ode looked like this: private byte ClipToByte( int p_ValueToClip ) { return Convert.ToByte( ( p_ValueToClip < byte.MinValue ) ? byte.MinValue : ( ( p_ValueToClip > byte.MaxValue ) ? byte.MaxValue : p_ValueToClip ) ); }   void CompositionTarget_Rendering( object sender, EventArgs e ) { using( ColorFrame _ColorFrame = FrameReader.AcquireLatestFrame() ) { if( null == _ColorFrame ) return;   byte[] _InputImage = new byte[_ColorFrame.FrameDescription.LengthInPixels * _ColorFrame.FrameDescription.BytesPerPixel]; byte[] _OutputImage = new byte[BitmapToDisplay.BackBufferStride * BitmapToDisplay.PixelHeight]; _ColorFrame.CopyRawFrameDataToArray( _InputImage );   ParallelOptions _ParallelOptions = new ParallelOptions(); _ParallelOptions.MaxDegreeOfParallelism = 4;   Parallel.For( 0, Sensor.ColorFrameSource.FrameDescription.LengthInPixels / 2, _ParallelOptions, ( _Index ) => { // See http://msdn.microsoft.com/en-us/library/windows/desktop/dd206750(v=vs.85).aspx int _Y0 = _InputImage[( _Index << 2 ) + 0] - 16; int _U = _InputImage[( _Index << 2 ) + 1] - 128; int _Y1 = _InputImage[( _Index << 2 ) + 2] - 16; int _V = _InputImage[( _Index << 2 ) + 3] - 128;   byte _R = ClipToByte( ( 298 * _Y0 + 409 * _V + 128 ) >> 8 ); byte _G = ClipToByte( ( 298 * _Y0 - 100 * _U - 208 * _V + 128 ) >> 8 ); byte _B = ClipToByte( ( 298 * _Y0 + 516 * _U + 128 ) >> 8 );   _OutputImage[( _Index << 3 ) + 0] = _B; _OutputImage[( _Index << 3 ) + 1] = _G; _OutputImage[( _Index << 3 ) + 2] = _R; _OutputImage[( _Index << 3 ) + 3] = 0xFF; // A   _R = ClipToByte( ( 298 * _Y1 + 409 * _V + 128 ) >> 8 ); _G = ClipToByte( ( 298 * _Y1 - 100 * _U - 208 * _V + 128 ) >> 8 ); _B = ClipToByte( ( 298 * _Y1 + 516 * _U + 128 ) >> 8 );   _OutputImage[( _Index << 3 ) + 4] = _B; _OutputImage[( _Index << 3 ) + 5] = _G; _OutputImage[( _Index << 3 ) + 6] = _R; _OutputImage[( _Index << 3 ) + 7] = 0xFF; } );   BitmapToDisplay.WritePixels( new Int32Rect( 0, 0, Sensor.ColorFrameSource.FrameDescription.Width, Sensor.ColorFrameSource.FrameDescription.Height ), _OutputImage, BitmapToDisplay.BackBufferStride, 0 ); } }

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  • Modular Architecture for Processing Pipeline

    - by anjruu
    I am trying to design the architecture of a system that I will be implementing in C++, and I was wondering if people could think of a good approach, or critique the approach that I have designed so far. First of all, the general problem is an image processing pipeline. It contains several stages, and the goal is to design a highly modular solution, so that any of the stages can be easily swapped out and replaced with a piece of custom code (so that the user can have a speed increase if s/he knows that a certain stage is constrained in a certain way in his or her problem). The current thinking is something like this: struct output; /*Contains the output values from the pipeline.*/ class input_routines{ public: virtual foo stage1(...){...} virtual bar stage2(...){...} virtual qux stage3(...){...} ... } output pipeline(input_routines stages); This would allow people to subclass input_routines and override whichever stage they wanted. That said, I've worked in systems like this before, and I find the subclassing and the default stuff tends to get messy, and can be difficult to use, so I'm not giddy about writing one myself. I was also thinking about a more STLish approach, where the different stages (there are 6 or 7) would be defaulted template parameters. Can anyone offer a critique of the pattern above, thoughts on the template approach, or any other architecture that comes to mind?

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  • What's the right way to start a node.js service?

    - by elliot42
    I'm running a node.js service (statsd) on CentOS 6. What's the proper way to daemonize and start such a service? Potential Daemonizers--are daemonizers supposed to be language-specific or general?: forever (node-specific) daemonize nohup (presumably wrong) start-stop-daemon(debian-only? is this for daemonizing or starting/stopping? what is the Centos equivalent?) Should the app itself really know how to daemonize itself and then have a -d flag? (e.g. via node-daemonize2 or forever-monitor?) Service starters--should these be from the system/distro, or should they be from monitoring tools such as monit?: service? is really /etc/init.d on CentOS? service? is really Upstart on Ubuntu? monit? daemontools? runit? I'm unfortunately new to this--where can I read up on what is the most standard, classic, reliable way of doing this?

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  • Building and Deploying Windows Azure Web Sites using Git and GitHub for Windows

    - by shiju
    Microsoft Windows Azure team has released a new version of Windows Azure which is providing many excellent features. The new Windows Azure provides Web Sites which allows you to deploy up to 10 web sites  for free in a multitenant shared environment and you can easily upgrade this web site to a private, dedicated virtual server when the traffic is grows. The Meet Windows Azure Fact Sheet provides the following information about a Windows Azure Web Site: Windows Azure Web Sites enable developers to easily build and deploy websites with support for multiple frameworks and popular open source applications, including ASP.NET, PHP and Node.js. With just a few clicks, developers can take advantage of Windows Azure’s global scale without having to worry about operations, servers or infrastructure. It is easy to deploy existing sites, if they run on Internet Information Services (IIS) 7, or to build new sites, with a free offer of 10 websites upon signup, with the ability to scale up as needed with reserved instances. Windows Azure Web Sites includes support for the following: Multiple frameworks including ASP.NET, PHP and Node.js Popular open source software apps including WordPress, Joomla!, Drupal, Umbraco and DotNetNuke Windows Azure SQL Database and MySQL databases Multiple types of developer tools and protocols including Visual Studio, Git, FTP, Visual Studio Team Foundation Services and Microsoft WebMatrix Signup to Windows and Enable Azure Web Sites You can signup for a 90 days free trial account in Windows Azure from here. After creating an account in Windows Azure, go to https://account.windowsazure.com/ , and select to preview features to view the available previews. In the Web Sites section of the preview features, click “try it now” which will enables the web sites feature Create Web Site in Windows Azure To create a web sites, login to the Windows Azure portal, and select Web Sites from and click New icon from the left corner  Click WEB SITE, QUICK CREATE and put values for URL and REGION dropdown. You can see the all web sites from the dashboard of the Windows Azure portal Set up Git Publishing Select your web site from the dashboard, and select Set up Git publishing To enable Git publishing , you must give user name and password which will initialize a Git repository Clone Git Repository We can use GitHub for Windows to publish apps to non-GitHub repositories which is well explained by Phil Haack on his blog post. Here we are going to deploy the web site using GitHub for Windows. Let’s clone a Git repository using the Git Url which will be getting from the Windows Azure portal. Let’s copy the Git url and execute the “git clone” with the git url. You can use the Git Shell provided by GitHub for Windows. To get it, right on the GitHub for Windows, and select open shell here as shown in the below picture. When executing the Git Clone command, it will ask for a password where you have to give password which specified in the Windows Azure portal. After cloning the GIT repository, you can drag and drop the local Git repository folder to GitHub for Windows GUI. This will automatically add the Windows Azure Web Site repository onto GitHub for Windows where you can commit your changes and publish your web sites to Windows Azure. Publish the Web Site using GitHub for Windows We can add multiple framework level files including ASP.NET, PHP and Node.js, to the local repository folder can easily publish to Windows Azure from GitHub for Windows GUI. For this demo, let me just add a simple Node.js file named Server.js which handles few request handlers. 1: var http = require('http'); 2: var port=process.env.PORT; 3: var querystring = require('querystring'); 4: var utils = require('util'); 5: var url = require("url"); 6:   7: var server = http.createServer(function(req, res) { 8: switch (req.url) { //checking the request url 9: case '/': 10: homePageHandler (req, res); //handler for home page 11: break; 12: case '/register': 13: registerFormHandler (req, res);//hamdler for register 14: break; 15: default: 16: nofoundHandler (req, res);// handler for 404 not found 17: break; 18: } 19: }); 20: server.listen(port); 21: //function to display the html form 22: function homePageHandler (req, res) { 23: console.log('Request handler home was called.'); 24: res.writeHead(200, {'Content-Type': 'text/html'}); 25: var body = '<html>'+ 26: '<head>'+ 27: '<meta http-equiv="Content-Type" content="text/html; '+ 28: 'charset=UTF-8" />'+ 29: '</head>'+ 30: '<body>'+ 31: '<form action="/register" method="post">'+ 32: 'Name:<input type=text value="" name="name" size=15></br>'+ 33: 'Email:<input type=text value="" name="email" size=15></br>'+ 34: '<input type="submit" value="Submit" />'+ 35: '</form>'+ 36: '</body>'+ 37: '</html>'; 38: //response content 39: res.end(body); 40: } 41: //handler for Post request 42: function registerFormHandler (req, res) { 43: console.log('Request handler register was called.'); 44: var pathname = url.parse(req.url).pathname; 45: console.log("Request for " + pathname + " received."); 46: var postData = ""; 47: req.on('data', function(chunk) { 48: // append the current chunk of data to the postData variable 49: postData += chunk.toString(); 50: }); 51: req.on('end', function() { 52: // doing something with the posted data 53: res.writeHead(200, "OK", {'Content-Type': 'text/html'}); 54: // parse the posted data 55: var decodedBody = querystring.parse(postData); 56: // output the decoded data to the HTTP response 57: res.write('<html><head><title>Post data</title></head><body><pre>'); 58: res.write(utils.inspect(decodedBody)); 59: res.write('</pre></body></html>'); 60: res.end(); 61: }); 62: } 63: //Error handler for 404 no found 64: function nofoundHandler(req, res) { 65: console.log('Request handler nofound was called.'); 66: res.writeHead(404, {'Content-Type': 'text/plain'}); 67: res.end('404 Error - Request handler not found'); 68: } .csharpcode, .csharpcode pre { font-size: small; color: black; font-family: consolas, "Courier New", courier, monospace; background-color: #ffffff; /*white-space: pre;*/ } .csharpcode pre { margin: 0em; } .csharpcode .rem { color: #008000; } .csharpcode .kwrd { color: #0000ff; } .csharpcode .str { color: #006080; } .csharpcode .op { color: #0000c0; } .csharpcode .preproc { color: #cc6633; } .csharpcode .asp { background-color: #ffff00; } .csharpcode .html { color: #800000; } .csharpcode .attr { color: #ff0000; } .csharpcode .alt { background-color: #f4f4f4; width: 100%; margin: 0em; } .csharpcode .lnum { color: #606060; } If there is any change in the local repository folder, GitHub for Windows will automatically detect the changes. In the above step, we have just added a Server.js file so that GitHub for Windows will detect the changes. Let’s commit the changes to the local repository before publishing the web site to Windows Azure. After committed the all changes, you can click publish button which will publish the all changes to Windows Azure repository. The following screen shot shows deployment history from the Windows Azure portal.   GitHub for Windows is providing a sync button which can use for synchronizing between local repository and Windows Azure repository after making any commit on the local repository after any changes. Our web site is running after the deployment using Git Summary Windows Azure Web Sites lets the developers to easily build and deploy websites with support for multiple framework including ASP.NET, PHP and Node.js and can easily deploy the Web Sites using Visual Studio, Git, FTP, Visual Studio Team Foundation Services and Microsoft WebMatrix. In this demo, we have deployed a Node.js Web Site to Windows Azure using Git. We can use GitHub for Windows to publish apps to non-GitHub repositories and can use to publish Web SItes to Windows Azure.

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  • Extremely simple online multiplayer game

    - by Postscripter
    I am considering creating a simple multiplayer game, which focuses on physics and can accommodate up to 30 players per session. Very simple graphics, but smart physics (pushing, weight and gravity, balance) is required. After some research I found a good java script (framework ??) called box2d.js I found the demo to be excellent. this is is kind of physics am looking for in my game. Now, what other frameworks will I need? Node.js?? Prototype.js?? (btw, I found the latest versoin of protoype.js to be released in 2010...?? is this still supported? Should I avoid using it?) What bout HTML 5 and Canvas? would I need them? websockets? Am a beginner in web programming + game programming world. but I will learn fast, am computer science graduate. (but no much web expeience but know essentionals javascript, html, css..). I just need a guiding path to build my game. Thanks

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  • What are some alternatives to word processing with Markdown?

    - by Hassan
    I've used MS Word-style editors for a long time, but I never got used to how unintuitive and cumbersome they are. I'm not talking specifically about MS Word, but also other editors that seem to mimic Word, like OpenOffice, NeoOffice, etc. I've found myself preferring to write in Markdown (much like on this site). I've found a few good Markdown editors, and I like using them a lot more than using Word-style editors. Here is what they generally look like: As you can see, it works much differently than a Word-style editor. This is a generally cleaner way of writing, since formatting is done right in the text, and is extremely simple to use (no highlighting some text, then clicking a button in some menu you have to find). Although editing text this way is great, I've realized that the syntax can only be used for very specific needs (bullets, numbered lists, headings and sub-headings, bold, italic, and some other common ones). However, many features are missing. Here are some features that would be nice in a word processor: Tables. Indenting paragraphs. Good image support (you can link to images, but not add them, since Markdown is just text). More simple to use than Word and its cronies. Cross-platform. Some of these can be fixed with in-line HTML, but nobody wants to do that. It seems Markdown was designed for editing text on the internet. Is there a similar setup that works better for desktop word processors?

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  • TypeError: Object {...} has no method 'find' - when using mongoose with express

    - by sdouble
    I'm having trouble getting data from MongoDB using mongoose schemas with express. I first tested with just mongoose in a single file (mongoosetest.js) and it works fine. But when I start dividing it all up with express routes and config files, things start to break. I'm sure it's something simple, but I've spent the last 3 hours googling and trying to figure out what I'm doing wrong and can't find anything that matches my process enough to compare. mongoosetest.js (this works fine, but not for my application) var mongoose = require('mongoose'); mongoose.connect('mongodb://localhost/meanstack'); var db = mongoose.connection; var userSchema = mongoose.Schema({ name: String }, {collection: 'users'}); var User = mongoose.model('User', userSchema); User.find(function(err, users) { console.log(users); }); These files are where I'm having issues. I'm sure it's something silly, probably a direct result of using external files, exports, and requires. My server.js file just starts up and configures express. I also have a routing file and a db config file. routing file (allRoutes.js) var express = require('express'); var router = express.Router(); var db = require('../config/db'); var User = db.User(); // routes router.get('/user/list', function(req, res) { User.find(function(err, users) { console.log(users); }); }); // catch-all route router.get('*', function(req, res) { res.sendfile('./public/index.html'); }); module.exports = router; dbconfig file (db.js) var mongoose = require('mongoose'); var dbHost = 'localhost'; var dbName = 'meanstack'; var db = mongoose.createConnection(dbHost, dbName); var Schema = mongoose.Schema, ObjectId = Schema.ObjectId; db.once('open', function callback() { console.log('connected'); }); // schemas var User = new Schema({ name : String }, {collection: 'users'}); // models mongoose.model('User', User); var User = mongoose.model('User'); //exports module.exports.User = User; I receive the following error when I browse to localhost:3000/user/list TypeError: Object { _id: 5398bed35473f98c494168a3 } has no method 'find' at Object.module.exports [as handle] (C:\...\routes\allRoutes.js:8:8) at next_layer (C:\...\node_modules\express\lib\router\route.js:103:13) at Route.dispatch (C:\...\node_modules\express\lib\router\route.js:107:5) at C:\...\node_modules\express\lib\router\index.js:213:24 at Function.proto.process_params (C:\...\node_modules\express\lib\router\index.js:284:12) at next (C:\...\node_modules\express\lib\router\index.js:207:19) at Function.proto.handle (C:\...\node_modules\express\lib\router\index.js:154:3) at Layer.router (C:\...\node_modules\express\lib\router\index.js:24:12) at trim_prefix (C:\...\node_modules\express\lib\router\index.js:255:15) at C:\...\node_modules\express\lib\router\index.js:216:9 Like I said, it's probably something silly that I'm messing up with trying to organize my code since my single file (mongoosetest.js) works as expected. Thanks.

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  • Lazy Processing of Streams

    - by Giorgio
    I have the following problem scenario: I have a text file and I have to read it and split it into lines. Some lines might need to be dropped (according to criteria that are not fixed). The lines that are not dropped must be parsed into some predefined records. Records that are not valid must be dropped. Duplicate records may exist and, in such a case, they are consecutive. If duplicate / multiple records exist, only one item should be kept. The remaining records should be grouped according to the value contained in one field; all records belonging to the same group appear one after another (e.g. AAAABBBBCCDEEEFF and so on). The records of each group should be numbered (1, 2, 3, 4, ...). For each group the numbering starts from 1. The records must then be saved somewhere / consumed in the same order as they were produced. I have to implement this in Java or C++. My first idea was to define functions / methods like: One method to get all the lines from the file. One method to filter out the unwanted lines. One method to parse the filtered lines into valid records. One method to remove duplicate records. One method to group records and number them. The problem is that the data I am going to read can be too big and might not fit into main memory: so I cannot just construct all these lists and apply my functions one after the other. On the other hand, I think I do not need to fit all the data in main memory at once because once a record has been consumed all its underlying data (basically the lines of text between the previous record and the current record, and the record itself) can be disposed of. With the little knowledge I have of Haskell I have immediately thought about some kind of lazy evaluation, in which instead of applying functions to lists that have been completely computed, I have different streams of data that are built on top of each other and, at each moment, only the needed portion of each stream is materialized in main memory. But I have to implement this in Java or C++. So my question is which design pattern or other technique can allow me to implement this lazy processing of streams in one of these languages.

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  • Is this right in the use case of exec method of child_process? is there away to cody the envirorment along with the require module too?

    - by L2L2L
    I'm learning node. I am using child_process to move data to another script to be executed. But it seem that it does not copy the hold environment or I could be doing something wrong. To copy the hold environment --require modules too-- or is this when I use spawn, I'm not so clear or understanding spawn exec and execfile --although execfile is like what I'm doing at the bottom, but with exec... right?-- And I would just love to have some clarity on this matter. Please anyone? Thank you. parent.js - "use strict"; var fs, path, _err; fs = require("fs"), path = require("path"), _err = require("./err.js"); var url; url= process.argv[1]; var dirname, locate_r; dirname = path.dirname(url); locate_r = dirname + "/" + "test.json";//path.join(dirname,"/", "test.json"); var flag, str; flag = "r", str = ""; fs.open(locate_r, flag, function opd(error, fd){ if (error){_err(error, function(){ fs.close(fd,function(){ process.stderr.write("\n" + "In Finally Block: File Closed!" + "\n");});})} var readBuff, buffOffset, buffLength, filePos; readBuff = new Buffer(15), buffOffset = 0, buffLength = readBuff.length, filePos = 0; fs.read(fd, readBuff, buffOffset, buffLength, filePos, function rd(error, readBytes){ error&&_err(error, fd); str = readBuff.toString("utf8"); process.env.str = str; process.stdout.write("str: "+ str + "\n" + "readBuff: " + readBuff + "\n"); fs.close(fd, function(){process.stdout.write( "Read and Closed File." + "\n" )}); //write(str); //run test for process.exec** var env, varName, envCopy, exec; env = process.env, varName, envCopy = {}, exec = require("child_process").exec; for(varName in env){ envCopy[varName] = env[varName]; } process.env.fs = fs, process.env.path = path, process.env.dirname = dirname, process.env.flag = flag, process.env.str = str, process.env._err = _err; process.env.fd = fd; exec("node child.js", env, function(error, stdout, stderr){ if(error){throw (new Error(error));} }); }); }); child.js - "use strict"; var fs, path, _err; fs = require("fs"), path = require("path"), _err = require("./err.js"); var fd, fs, flag, path, dirname, str, _err; fd = process.env.fd, //fs = process.env.fs, //path = process.env.path, dirname = process.env.dirname, flag = process.env.flag, str = process.env.str, _err = process.env._err; var url; url= process.argv[1]; var locate_r; dirname = path.dirname(url); locate_r = dirname + "/" + "test.json";//path.join(dirname,"/", "test.json"); //function write(str){ var locate_a; locate_a = dirname + "/" + "test.json"; //path.join(dirname,"/", "test.json"); flag = "a"; fs.open(locate_a, flag, function opd(error, fd){ error&&_err(error, fs, fd); var writeBuff, buffPos, buffLgh, filePs; writeBuff = new Buffer(str), process.stdout.write( "writeBuff: " + writeBuff + "\n" + "str: " + str + "\n"), buffPos = 0, buffLgh = writeBuff.length, filePs = buffLgh;//null; fs.write(fd, writeBuff, buffPos, buffLgh, filePs-3, function(error, written){ error&&_err(error, function(){ fs.close(fd,function(){ process.stderr.write("\n" + "In Finally Block: File Closed!" + "\n"); }); }); fs.close(fd, function(){process.stdout.write( "Written and Closed File." + "\n");}); }); }); //} err.js - "use strict"; var fs; fs = require("fs"); module.exports = function _err(err, scp, cd){ try{ throw (new Error(err)); }catch(e){ process.stderr.write(e + "\n"); }finally{ cd; } }

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