Search Results

Search found 35940 results on 1438 pages for 'console app'.

Page 21/1438 | < Previous Page | 17 18 19 20 21 22 23 24 25 26 27 28  | Next Page >

  • Windows 8: Everything from design, build, and how to sell a Metro style app

    - by Thomas Mason
    For me, there are a lot of similarities between an application developed for Windows Phone and a Metro style app developed for Windows 8. A Windows Phone 7 application (rather than an XNA game) is built in .NET and XAML against a subset of the .NET framework and the application has a lifecycle which needs to be conscious of battery life and so is split out into foreground/background pieces. The application is sandboxed in terms of its interactions with the local device and is packaged with a manifest which describes those interactions. The app needs to be aware of network connectivity status and its work on the network is done asynchronously to preserve the user experience.The app is packaged and deployed to a Marketplace which the user browses to find the app, read reviews, perhaps purchase it and then install it and receive updates over time. Quite a lot of those statements are as true of a Windows 8 Metro style app as they are for a Windows Phone app and so a Windows Phone app developer already has a good head start when it comes to building Metro style apps for Windows 8. With that in mind, there is an event to help developers with a Windows Phone app in Marketplace to begin the process of looking at Windows 8 and whether you can get a quick win by bringing your Phone application onto Windows. The idea of the event was to provide a space where developers can get together over 2 days and take the time out to look at what it means to take their app from Windows Phone to Windows 8. Kicking off on Saturday 16th June at 10am, we are told they have plenty of power sockets, WiFi, whiteboards, drinks, pizza, games, prizes and some quiet space that you can work in. Including people on hand with Windows Phone and Windows 8 experience to help everything along the way. There will be an attendee-voted schedule of talks but we’ll keep these out of your way if you just want to get on and code. We’ll also provide information around submitting your app to the Windows Store If you have a Windows Phone app in Marketplace, now’s a great time to look at getting it onto Windows 8. Sign up. Bring your laptop. Bring your app. Bring Windows 8 and Visual Studio 11. And everyone will their best to help you get your app onto Windows 8. Location & Venue TBA but it will be in central London, accessible by major railway and underground transportation. Day 1 Saturday 16th June 10am – 9pm Day 2 Sunday 17th June 10am – 4pm

    Read the article

  • Winforms connection strings from App.config

    - by Geo Ego
    I have a Winforms app that I am developing in C# that will serve as a frontend for a SQL Server 2005 database. I rolled the executable out to a test machine and ran it. It worked perfectly fine on the test machine up until the last round of changes that I made. However, now on the test machine, it throws the following exception immediately upon opening: System.NullReferenceException: Object reference not set to an instance of an object. at PSRD_Specs_Database_Administrat.mainMenu.mainMenu_Load(Object sender, EventArgs e) at System.Windows.Forms.Form.OnLoad(EventArgs e) at System.Windows.Forms.Form.OnCreateControl() at System.Windows.Forms.Control.CreateControl(Boolean fIgnoreVisible) at System.Windows.Forms.Control.CreateControl() at System.Windows.Forms.Control.WmShowWindow(Message& m) at System.Windows.Forms.Control.WndProc(Message& m) at System.Windows.Forms.ScrollableControl.WndProc(Message& m) at System.Windows.Forms.ContainerControl.WndProc(Message& m) at System.Windows.Forms.Form.WmShowWindow(Message& m) at System.Windows.Forms.Form.WndProc(Message& m) at System.Windows.Forms.Control.ControlNativeWindow.OnMessage(Message& m) at System.Windows.Forms.Control.ControlNativeWindow.WndProc(Message& m) at System.Windows.Forms.NativeWindow.Callback(IntPtr hWnd, Int32 msg, IntPtr wparam, IntPtr lparam) The only thing that I changed in this version that pertains to mainMenu_Load is the way that the connection string to the database is called. Previously, I had set a string with the connection string on every form that I needed to call it from, like: string conString = "Data Source = SHAREPOINT;Trusted_Connection = yes;" + "database = CustomerDatabase;connection timeout = 15"; As my app grew and I added forms to it, I decided to add an App.config to the project. I defined the connection string in it: <connectionStrings> <add name="conString" providerName="System.Data.SqlClient" connectionString="Data Source = SHAREPOINT;Trusted_Connection = yes;database = CustomerDatabase;connection timeout = 15" /> </connectionStrings> I then created a static string that would return the conString: public static string GetConnectionString(string conName) { string strReturn = string.Empty; if (!(string.IsNullOrEmpty(conName))) { strReturn = ConfigurationManager.ConnectionStrings[conName].ConnectionString; } else { strReturn = ConfigurationManager.ConnectionStrings["conString"].ConnectionString; } return strReturn; } I removed the conString variable and now call the connection string like so: PublicMethods.GetConnectionString("conString").ToString() It appears that this is giving me the error. I changed these instances to directly call the connection string from App.config without using GetConnectionString. For instance, in a SQLConnection: using (SqlConnection con = new SqlConnection(ConfigurationManager.ConnectionStrings["conString"].ConnectionString)) This also threw the exception. However, when I went back to using the conString variable on each form, I had no issues. What I don't understand is why all three methods work fine on my development machine, while using the App.config directly or via the static string I created throw exceptions.

    Read the article

  • 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.

    Read the article

  • New Management Console in Java SE Advanced 8u20

    - by Erik Costlow-Oracle
    Java SE 8 update 20 is a new feature release designed to provide desktop administrators with better control of their managed systems. The release notes for 8u20 are available from the public JDK release notes page. This release is not a Critical Patch Update (CPU). I would like to call attention to two noteworthy features of Oracle Java SE Advanced, the commercially supported version of Java SE for enterprises that require both support and specialized tools. The new Advanced Management Console provides a way to monitor and understand client systems at scale. It allows organizations to track usage and more easily create and manage client configuration like Deployment Rule Sets (DRS). DRS can control execution of tracked applications as well as specify compatibility of which application should use which Java SE installation. The new MSI Installer integrates into various desktop management tools, making it easier to customize and roll out different Java SE versions. Advanced Management Console The Advanced Management Console is part of Java SE Advanced designed for desktop administrators, whose users need to run many different Java applications. It provides usage tracking for those Applet & Web Start applications to help identify them for guided DRS creation. DRS can then be verified against the tracked data, to ensure that end-users can run their application against the appropriate Java version with no prompts. Usage tracking also has a different definition for Java SE than it does for most software applications. Unlike most applications where usage can be determined by a simple run-count, Java is a platform used for launching other applications. This means that usage tracking must answer both "how often is this Java SE version used" and "what applications are launched by it." Usage Tracking One piece of Java SE Advanced is a centralized usage tracker. Simply placing a properties file on the client informs systems to report information to this usage tracker, so that the desktop administrator can better understand usage. Information is sent via UDP to prevent any delay on the client. The usage tracking server resides at a central location on the intranet to collect information from those clients. The information is stored in a normalized database for performance, meaning that a single usage tracker can handle a large number of clients. Guided Deployment Rule Sets Deployment Rule Sets were introduced in Java 7 update 40 (September 2013) in order to help administrators control security prompts and guide compatibility. A previous post, Deployment Rule Sets by Example, explains how to configure a rule set so that most applications run against the most secure version but a specific applet may run against the Java version that was current several years ago. There are a different set of questions that can be asked by a desktop administrator in a large or distributed firm: Where are the Java RIAs that our users need? Which RIA needs which Java version? Which users need which Java versions? How do I verify these answers once I have them? The guided deployment rule set creation uses usage tracker data to identify applications both by certificate hash and location. After creating the rules, a comparison tool exists to verify them against the tracked data: If you intend to run an RIA, is it green? If something specific should be blocked, is it red? This makes user-testing easier. MSI Installer The Windows Installer format (MSI) provides a number of benefits for desktop administrators that customize or manage software at scale. Unlike the basic installer that most users obtain from Java.com or OTN, this installer is built around customization and integration with various desktop management products like SCCM. Desktop administrators using the MSI installer can use every feature provided by the format, such as silent installs/upgrades, low-privileged installations, or self-repair capabilities Customers looking for Java SE Advanced can download the MSI installer through their My Oracle Support (MOS) account. Java SE Advanced The new features in Java SE Advanced make it easier for desktop administrators to identify and control client installations at scale. Administrators at organizations that want either the tools or associated commercial support should consider Java SE Advanced.

    Read the article

  • How would you gather client's data on Google App Engine without using Datastore/Backend Instances too much?

    - by ruslan
    I'm relatively new to StackExchange and not sure if it's appropriate place to ask design question. Site gives me a hint "The question you're asking appears subjective and is likely to be closed". Please let me know. Anyway.. One of the projects I'm working on is online survey engine. It's my first big commercial project on Google App Engine. I need your advice on how to collect stats and efficiently record them in DataStore without bankrupting me. Initial requirements are: After user finishes survey client sends list of pairs [ID (int) + PercentHit (double)]. This list shows how close answers of this user match predefined answers of reference answerers (which identified by IDs). I call them "target IDs". Creator of the survey wants to see aggregated % for given IDs for last hour, particular timeframe or from the beginning of the survey. Some surveys may have thousands of target/reference answerers. So I created entity public class HitsStatsDO implements Serializable { @Id transient private Long id; transient private Long version = (long) 0; transient private Long startDate; @Parent transient private Key parent; // fake parent which contains target id @Transient int targetId; private double avgPercent; private long hitCount; } But writing HitsStatsDO for each target from each user would give a lot of data. For instance I had a survey with 3000 targets which was answered by ~4 million people within one week with 300K people taking survey in first day. Even if we assume they were answering it evenly for 24 hours it would give us ~1040 writes/second. Obviously it hits concurrent writes limit of Datastore. I decided I'll collect data for one hour and save that, that's why there are avgPercent and hitCount in HitsStatsDO. GAE instances are stateless so I had to use dynamic backend instance. There I have something like this: // Contains stats for one hour private class Shard { ReadWriteLock lock = new ReentrantReadWriteLock(); Map<Integer, HitsStatsDO> map = new HashMap<Integer, HitsStatsDO>(); // Key is target ID public void saveToDatastore(); public void updateStats(Long startDate, Map<Integer, Double> hits); } and map with shard for current hour and previous hour (which doesn't stay here for long) private HashMap<Long, Shard> shards = new HashMap<Long, Shard>(); // Key is HitsStatsDO.startDate So once per hour I dump Shard for previous hour to Datastore. Plus I have class LifetimeStats which keeps Map<Integer, HitsStatsDO> in memcached where map-key is target ID. Also in my backend shutdown hook method I dump stats for unfinished hour to Datastore. There is only one major issue here - I have only ONE backend instance :) It raises following questions on which I'd like to hear your opinion: Can I do this without using backend instance ? What if one instance is not enough ? How can I split data between multiple dynamic backend instances? It hard because I don't know how many I have because Google creates new one as load increases. I know I can launch exact number of resident backend instances. But how many ? 2, 5, 10 ? What if I have no load at all for a week. Constantly running 10 backend instances is too expensive. What do I do with data from clients while backend instance is dead/restarting? Thank you very much in advance for your thoughts.

    Read the article

  • How can I gather client's data on Google App Engine without using Datastore/Backend Instances too much?

    - by ruslan
    One of the projects I'm working on is online survey engine. It's my first big commercial project on Google App Engine. I need your advice on how to collect stats and efficiently record them in DataStore without bankrupting me. Initial requirements are: After user finishes survey client sends list of pairs [ID (int) + PercentHit (double)]. This list shows how close answers of this user match predefined answers of reference answerers (which identified by IDs). I call them "target IDs". Creator of the survey wants to see aggregated % for given IDs for last hour, particular timeframe or from the beginning of the survey. Some surveys may have thousands of target/reference answerers. So I created entity public class HitsStatsDO implements Serializable { @Id transient private Long id; transient private Long version = (long) 0; transient private Long startDate; @Parent transient private Key parent; // fake parent which contains target id @Transient int targetId; private double avgPercent; private long hitCount; } But writing HitsStatsDO for each target from each user would give a lot of data. For instance I had a survey with 3000 targets which was answered by ~4 million people within one week with 300K people taking survey in first day. Even if we assume they were answering it evenly for 24 hours it would give us ~1040 writes/second. Obviously it hits concurrent writes limit of Datastore. I decided I'll collect data for one hour and save that, that's why there are avgPercent and hitCount in HitsStatsDO. GAE instances are stateless so I had to use dynamic backend instance. There I have something like this: // Contains stats for one hour private class Shard { ReadWriteLock lock = new ReentrantReadWriteLock(); Map<Integer, HitsStatsDO> map = new HashMap<Integer, HitsStatsDO>(); // Key is target ID public void saveToDatastore(); public void updateStats(Long startDate, Map<Integer, Double> hits); } and map with shard for current hour and previous hour (which doesn't stay here for long) private HashMap<Long, Shard> shards = new HashMap<Long, Shard>(); // Key is HitsStatsDO.startDate So once per hour I dump Shard for previous hour to Datastore. Plus I have class LifetimeStats which keeps Map<Integer, HitsStatsDO> in memcached where map-key is target ID. Also in my backend shutdown hook method I dump stats for unfinished hour to Datastore. There is only one major issue here - I have only ONE backend instance :) It raises following questions on which I'd like to hear your opinion: Can I do this without using backend instance ? What if one instance is not enough ? How can I split data between multiple dynamic backend instances? It hard because I don't know how many I have because Google creates new one as load increases. I know I can launch exact number of resident backend instances. But how many ? 2, 5, 10 ? What if I have no load at all for a week. Constantly running 10 backend instances is too expensive. What do I do with data from clients while backend instance is dead/restarting?

    Read the article

  • Google appengine authentication on iPhone web app on the home screen

    - by Rakesh Pai
    I'm using Google appengine for developing an web application that is meant to be used on both the browser and iphone. I have purchased a domain name for this application, so that I have a pretty URL. I've used the User API for authentication. This works just fine on desktop browsers and iPhone Safari. The user could add the application to the home screen (by tapping the "+" at the bottom toolbar). However when that's done, it seems like the cookies set by Google are not in affect within this "application", and the user is effectively logged out. To make matters worse, when the user clicks on the login link (as generated by GAE), the app closes and opens safari to complete the login. Since the session is apparently not shared between the two, the login process is futile, and the "home-screen" version of the app continues to be logged out. It seems that the cookies are not shared between a "home-screen" app and Safari. It also seems that the "home-screen" app will only work within it's own domain, and any redirect to any other domain will open Safari. Any idea how I can go about fixing this?

    Read the article

  • Parsing unicode XML with Python SAX on App Engine

    - by Derek Dahmer
    I'm using xml.sax with unicode strings of XML as input, originally entered in from a web form. On my local machine (python 2.5, using the default xmlreader expat, running through app engine), it works fine. However, the exact same code and input strings on production app engine servers fail with "not well-formed". For example, it happens with the code below: from xml import sax class MyHandler(sax.ContentHandler): pass handler = MyHandler() # Both of these unicode strings return 'not well-formed' # on app engine, but work locally xml.parseString(u"<a>b</a>",handler) xml.parseString(u"<!DOCTYPE a[<!ELEMENT a (#PCDATA)> ]><a>b</a>",handler) # Both of these work, but output unicode xml.parseString("<a>b</a>",handler) xml.parseString("<!DOCTYPE a[<!ELEMENT a (#PCDATA)> ]><a>b</a>",handler) resulting in the error: File "<string>", line 1, in <module> File "/base/python_dist/lib/python2.5/xml/sax/__init__.py", line 49, in parseString parser.parse(inpsrc) File "/base/python_dist/lib/python2.5/xml/sax/expatreader.py", line 107, in parse xmlreader.IncrementalParser.parse(self, source) File "/base/python_dist/lib/python2.5/xml/sax/xmlreader.py", line 123, in parse self.feed(buffer) File "/base/python_dist/lib/python2.5/xml/sax/expatreader.py", line 211, in feed self._err_handler.fatalError(exc) File "/base/python_dist/lib/python2.5/xml/sax/handler.py", line 38, in fatalError raise exception SAXParseException: <unknown>:1:1: not well-formed (invalid token) Any reason why app engine's parser, which also uses python2.5 and expat, would fail when inputting unicode?

    Read the article

  • How to localize an app on Google App Engine?

    - by Petri Pennanen
    What options are there for localizing an app on Google App Engine? How do you do it using Webapp, Django, web2py or [insert framework here]. 1. Readable URLs and entity key names Readable URLs are good for usability and search engine optimization (Stack Overflow is a good example on how to do it). On Google App Engine, key based queries are recommended for performance reasons. It follows that it is good practice to use the entity key name in the URL, so that the entity can be fetched from the datastore as quickly as possible. Currently I use the function below to create key names: import re import unicodedata def urlify(unicode_string): """Translates latin1 unicode strings to url friendly ASCII. Converts accented latin1 characters to their non-accented ASCII counterparts, converts to lowercase, converts spaces to hyphens and removes all characters that are not alphanumeric ASCII. Arguments unicode_string: Unicode encoded string. Returns String consisting of alphanumeric (ASCII) characters and hyphens. """ str = unicodedata.normalize('NFKD', unicode_string).encode('ASCII', 'ignore') str = re.sub('[^\w\s-]', '', str).strip().lower() return re.sub('[-\s]+', '-', str) This works fine for English and Swedish, however it will fail for non-western scripts and remove letters from some western ones (like Norwegian and Danish with their œ and ø). Can anyone suggest a method that works with more languages? 2. Translating templates Does Django internationalization and localization work on Google App Engine? Are there any extra steps that must be performed? Is it possible to use Django i18n and l10n for Django templates while using Webapp? The Jinja2 template language provides integration with Babel. How well does this work, in your experience? What options are avilable for your chosen template language? 3. Translated datastore content When serving content from (or storing it to) the datastore: Is there a better way than getting the *accept_language* parameter from the HTTP request and matching this with a language property that you have set with each entity?

    Read the article

  • iPhone app rejection for using ICU (Unicode extensions)

    - by nickbit
    I received the following mail form Apple, considering my application: *Thank you for submitting your update to ??µ??es?a to the App Store. During our review of your application we found it is using private APIs, which is in violation of the iPhone Developer Program License Agreement section 3.3.1; "3.3.1 Applications may only use Documented APIs in the manner prescribed by Apple and must not use or call any private APIs." While your application has not been rejected, it would be appropriate to resolve this issue in your next update. The following non-public APIs are included in your application: u_isspace ubrk_close ubrk_current ubrk_first ubrk_next ubrk_open If you have defined methods in your source code with the same names as the above mentioned APIs, we suggest altering your method names so that they no longer collide with Apple's private APIs to avoid your application being flagged with future submissions. Please resolve this issue in your next update to ??µ??es?a. Sincerely, iPhone App Review Team* The functions mentioned in this mail are used in the ICU library (International Components for Unicode). Although my app is not rejected at this point, I don't feel very secure for the future of my app, because it relies heavily on the Unicode protocol and on this components in particular. Another thing is that I do not call these functions directly, but they are called by a custom 'sqlite' build (with FTS3 extensions enabled). Am I missing something here? Any suggestions?

    Read the article

  • launching a program from bash causes bash to go to new prompt

    - by Dan Dman
    When I run a program from the console, e.g. me@box:~$ firefox I expect the console to log error messages (I think this is std out or std err?) and other items from the program, firefox in this case. But today I notice that bash just opens the program and goes to a new prompt, e.g. me@box:~$ firefox me@box:~$ How do I launch a program from bash such that error messages will be written to the console? Why is it that some programs operate this way by default and others (firefox) do not?

    Read the article

  • Suspend after delay via SSH

    - by thornate
    I know how to suspend after a delay by using: echo 'pmi action suspend' | at now + 1 minutes However, that only seems to work as long as I keep the console window open. Am I correct in assuming that the at commands are cleared when I close the console? This is an issue as I want to be able to log in to my computer via SSH, send the suspend command, then log out before it happens. Suspending immediately tends to freeze my local console window, which is inconvenient. Is there a way to send a delayed suspend command without it being cleared when I log out?

    Read the article

  • App Engine Authentication Error

    - by Suzy
    I have an app hosted by google app engine, and I am having trouble with authentication. When I login using my admin account and try to access the admin page or members pages, I just get a blank screen. I can login, and the members only menu shows when I login, but I just can't see any data from the members pages. I'm not really sure where I should start checking? My app is registered with my google apps account and I am using the only admin login that is there. Any suggestions would be appreciated.

    Read the article

  • Win XP Pro SP3 MUP.SYS last driver to load before freeze. Can't boot into XP CD / Recovery Console

    - by Joshua
    I've tried everything and have even looked at the thread on this site "Fresh installation of XP hangs after MUP.SYS" but nothing. I'm running Memtest86+ v4.00 but no luck (everything looks good) It freezes at windows boot screen, not even 1 green block shows up in the loader. I go into safemode and it stops at MUP.SYS, it's probably not MUP.SYS that is the problem but it's probably the next file that is trying to load or something. The end-user has not installed anything at all that could be problematic. I have pulled the HDD out and put it into another pc and have checked it, nothing suspicious at all. It's just as clean as when I first cleaned it up and secured it. Someone / anyone please help! :) Thank you!

    Read the article

  • local app opening instead of ssh forwarded app over x

    - by The Journeyman geek
    i have a custom install of ubuntu 9.10 - xorg intel and its deps, icewm, xde and swiftfox from the swiftfox repos. I'm trying to start a ssh forwarded session of swiftfox from another system - which has the plain vanilla firefox version in the repos- with ssh -x [ipaddress] and then starting swiftfox from command line. When i start it though, it opens up the local copy of firefox instead of the copy of swiftfox on the other box. I have NO idea what's wrong...swiftfox dosen't open on the remote box, i am definately on the remote boxes terminal, and there's no way whatsoever it should open a local copy. I'm wondering what's wrong

    Read the article

  • How do you load the app.config file into a DLL

    - by Bluephlame
    So I cant find a definitive answer to the Question. How do you load the app.config file into a DLL. I understand that generally the App.config info should be put into the executable app.config. However i am building an add-in and have to executable available. I would like to use the namespace.dll.config file to store my variables, but i need a way of loading it into the system. Do you need to build out some code to load this file in? Can you use the configurationManager namespace to make this happen easily?

    Read the article

  • WPF win app and browser app

    - by pdiddy
    I'm hearing this alot, that you can develop an app in WPF and run it as a desktop app or in a browser. Is this really true? I've install visual studio 2010 and I see 2 project templates : WPF Windows Application and WPF Browser Application (XBAP). Currently reading a book on WPF, it talks about Page-Base app, which can be use for navigation. To creatre an app to run on your browser you have to use the WPF Browser Application. So if I start with WPF Windows Application template can I run it in a browser ? I am assuming not since most of my class will be Window and not Page ....

    Read the article

  • iPhone in App purchase : Working but Not

    - by Vimal Jain
    Hi, I have added in App purchase functionality within my application. We have tested it successfully on iPhone (in sandbox mode). After successfully testing, we sent the application for final testing to tester situated at other country. In strange case, the tester is not able to test in App purchase functionality. He is getting "Invalid Product Id" error. We are giving same build to tester which is working perfectly at our side. The whole application is working perfectly except in app purchase functionality. If any guesses. Thanks, Vimal Jain.

    Read the article

  • Why is the vSphere console view so slow?

    - by blade
    Hi, Why is the Console view on the vSphere client so slow? It's a real shame because it's a shame to have to establish an RDP session every time you work on one of the VMs because of the speed of the console (I saw a tool to right click and open an RDP session to a VM in vSphere Client/ESX but this was not reliable). The Workstation console view is very smooth so I'd expect the vSphere Client console view to be very smooth. Thanks

    Read the article

  • Do not fetch app.manifest each time

    - by Kristof
    For creating an offline version of a bunch of linked web pages I use an app.manifest-file that lists all the web pages for offline caching. I would like it that the app.manifest file is not fetched every time when a user jumps from one web page to another. Most of the web pages will never be updated once the application is on the iPhone. Also the target audience is abroad so roaming costs could add up while users are using my "web app". Searching the internet made me think in the direction of forcing an offline mode in Mobile Safari using Javascript but I don't know if this is the right way to go or if it is even possible. Does anyone have any other and/or better ideas and suggestions on how to do this?

    Read the article

  • Django and App Engine

    - by notnoop
    I wanted to check the status of running Django on the Google App Engine currently and what the benefits of running django on GAE over simply using Webapp. Django main killer feature, IMHO, is the reuseable apps and middleware. Unfortunately, most current Django apps use models or model forms (django-tags, django-reviews, django-profiles, Pinax apps). So what are the remaining features or benefits that django has that can still run in Google App Engine (other than what's disabled: the popular django apps, session and authentication middleware, users and admin, models, etc). Also, is there a list of the Django apps that work in App Engine as well?

    Read the article

  • Finding App Id under .ipa or .app

    - by Rafael Oliveira
    I'm building an application that search and recognizes any iPhone apps that user has in his/her computer. I would like to know a way to "extract" the id of the application from the .ipa file. I was trying to do the recognition using only the App File Name, but I discovered that the File Name is not the name of the app in Apple Store. Live Poker 6K Free by Zynga != Live Poker 3.7.ipa The id i'm talking about is the app id, like in, http://itunes.apple.com/app/live-poker-6k-free-by-zynga/id354901953?mt=8 the id is 354901953. Does any body has a clue how can I manage to find this information?

    Read the article

  • Tweepy + App Engine Example OAuth Help

    - by Wasauce
    Hi I am trying to follow the Tweepy App Engine OAuth Example app in my app but am running into trouble. Here is a link to the tweepy example code: http://github.com/joshthecoder/tweepy-examples Specifically look at: http://github.com/joshthecoder/tweepy-examples/blob/master/appengine/oauth_example/handlers.py Here is the relevant snippet of my code [Ignore the spacing problems]: try: authurl = auth.get_authorization_url() request_token = auth.request_token db_user.token_key = request_token.key db_user.token_secret = request_token.secret db_user.put() except tweepy.TweepError, e: # Failed to get a request token self.generate('error.html', { 'error': e, }) return self.generate('signup.html', { 'authurl': authurl, 'request_token': request_token, 'request_token.key': request_token.key, 'request_token.secret': request_token.secret, }) As you can see my code is very similar to the example. However, when I compare the version of the request_token.key and request_token.secret that are rendered on my signup page (this is for the request_token.key and request_token.secret found in the datastore. Any guidance on what I am doing wrong here? Thanks! Reference Links:

    Read the article

  • Google App Engine - Calling getSession().invalidate(); causes app engine to act weird.

    - by Spines
    When I call hreq.getSession().invalidate(); app engine slows down tremendously. I looked at appstats and saw that on a page where no database calls are made, it was calling memcache.get and datastore.get 23 times each. The stack trace of these calls showed that it was being called from getSession(). This only happens on the production server. Every time I make a request to a page, it makes a bunch of memcache and datastore calls. This slow down goes away though when i restart my browser. When I changed the code to simply set the isLoggedIn property of the session to false, rather than calling hreq.getSession().invalidate();, everything was fine. As a test, I didn't invalidate my session, but I changed the value of my browser's session cookie, and the app engine exhibited the same behavior. Is this a bug with the app engine?

    Read the article

< Previous Page | 17 18 19 20 21 22 23 24 25 26 27 28  | Next Page >