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• on Google App Engine 500 Error, it should be 200 instead of 500

  - by Faisal Amjad

  requestToken = function() { var getTokenURI = '/gettoken?userid=' + userid; var httpRequest = makeRequest(getTokenURI, true); httpRequest.onreadystatechange = function() { if (httpRequest.readyState == 4) { if (httpRequest.status == 200) { openChannel(httpRequest.responseText); } else { alert('ERROR: AJAX request status = ' + httpRequest.status); } } } }; function makeRequest(url, async) { var httpRequest; if (window.XMLHttpRequest) { httpRequest = new XMLHttpRequest(); } else if (window.ActiveXObject) { // IE try { httpRequest = new ActiveXObject("Msxml2.XMLHTTP"); } catch (e) { try { httpRequest = new ActiveXObject("Microsoft.XMLHTTP"); } catch (e) { } } } if (!httpRequest) { return false; } httpRequest.open('POST', url, async); httpRequest.send(); return httpRequest; } it is running excellent on localhost...but on google app engine it httpRequest.status equals 500 and goes in else statement. WHY? LOG on google app engine: /getFriendList?userid=d 500 253ms 0kb Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.11 (KHTML, like Gecko) Chrome/23.0.1271.97 Safari/537.11 175.110.179.86 - - [17/Dec/2012:08:35:33 -0800] "POST /getFriendList?userid=d HTTP/1.1" 500 0 "http://faisalimmsngr.appspot.com/" "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.11 (KHTML, like Gecko) Chrome/23.0.1271.97 Safari/537.11" "faisalimmsngr.appspot.com" ms=254 cpu_ms=110 instance=00c61b117caf2d11ca57d2a2296ccd0b902b038a W 2012-12-17 08:35:33.272 Failed startup of context com.google.apphosting.utils.jetty.RuntimeAppEngineWebAppContext@10ff62a{/,/base/data/home/apps/s~faisalimmsngr/1.363934467542140431} org.mortbay.util.MultiException[java.lang.UnsupportedClassVersionError: adv/web/mid/exam/FriendServlet : Unsupported major.minor version 51.0, java.lang.UnsupportedClassVersionError: adv/web/mid/exam/MessageServlet : Unsupported major.minor version 51.0, java.lang.UnsupportedClassVersionError: adv/web/mid/exam/TokenServlet : Unsupported major.minor version 51.0] at org.mortbay.jetty.servlet.ServletHandler.initialize(ServletHandler.java:656) at org.mortbay.jetty.servlet.Context.startContext(Context.java:140) at org.mortbay.jetty.webapp.WebAppContext.startContext(WebAppContext.java:1250) at org.mortbay.jetty.handler.ContextHandler.doStart(ContextHandler.java:517) at org.mortbay.jetty.webapp.WebAppContext.doStart(WebAppContext.java:467) at org.mortbay.component.AbstractLifeCycle.start(AbstractLifeCycle.java:50) at com.google.apphosting.runtime.jetty.AppVersionHandlerMap.createHandler(AppVersionHandlerMap.java:219) at com.google.apphosting.runtime.jetty.AppVersionHandlerMap.getHandler(AppVersionHandlerMap.java:194) at com.google.apphosting.runtime.jetty.JettyServletEngineAdapter.serviceRequest(JettyServletEngineAdapter.java:134) at com.google.apphosting.runtime.JavaRuntime$RequestRunnable.run(JavaRuntime.java:447) at com.google.tracing.TraceContext$TraceContextRunnable.runInContext(TraceContext.java:454) at com.google.tracing.TraceContext$TraceContextRunnable$1.run(TraceContext.java:461) at com.google.tracing.TraceContext.runInContext(TraceContext.java:703) at com.google.tracing.TraceContext$AbstractTraceContextCallback.runInInheritedContextNoUnref(TraceContext.java:338) at com.google.tracing.TraceContext$AbstractTraceContextCallback.runInInheritedContext(TraceContext.java:330) at com.google.tracing.TraceContext$TraceContextRunnable.run(TraceContext.java:458) at com.google.apphosting.runtime.ThreadGroupPool$PoolEntry.run(ThreadGroupPool.java:251) at java.lang.Thread.run(Thread.java:679) java.lang.UnsupportedClassVersionError: adv/web/mid/exam/FriendServlet : Unsupported major.minor version 51.0 at com.google.appengine.runtime.Request.process-c04431eac3a1f275(Request.java) at java.lang.ClassLoader.defineClass1(Native Method) at java.lang.ClassLoader.defineClass(ClassLoader.java:634) at java.security.SecureClassLoader.defineClass(SecureClassLoader.java:142) at java.net.URLClassLoader.defineClass(URLClassLoader.java:277) at sun.reflect.GeneratedMethodAccessor5.invoke(Unknown Source) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:616) at java.lang.ClassLoader.loadClass(ClassLoader.java:266) at org.mortbay.util.Loader.loadClass(Loader.java:91) at org.mortbay.util.Loader.loadClass(Loader.java:71) at org.mortbay.jetty.servlet.Holder.doStart(Holder.java:73) at org.mortbay.jetty.servlet.ServletHolder.doStart(ServletHolder.java:242) at org.mortbay.component.AbstractLifeCycle.start(AbstractLifeCycle.java:50) at org.mortbay.jetty.servlet.ServletHandler.initialize(ServletHandler.java:685) at org.mortbay.jetty.servlet.Context.startContext(Context.java:140) at org.mortbay.jetty.webapp.WebAppContext.startContext(WebAppContext.java:1250) at org.mortbay.jetty.handler.ContextHandler.doStart(ContextHandler.java:517) at org.mortbay.jetty.webapp.WebAppContext.doStart(WebAppContext.java:467) at org.mortbay.component.AbstractLifeCycle.start(AbstractLifeCycle.java:50) at com.google.tracing.TraceContext$TraceContextRunnable.runInContext(TraceContext.java:454) at com.google.tracing.TraceContext$TraceContextRunnable$1.run(TraceContext.java:461) at com.google.tracing.TraceContext.runInContext(TraceContext.java:703) at com.google.tracing.TraceContext$AbstractTraceContextCallback.runInInheritedContextNoUnref(TraceContext.java:338) at com.google.tracing.TraceContext$AbstractTraceContextCallback.runInInheritedContext(TraceContext.java:330) at com.google.tracing.TraceContext$TraceContextRunnable.run(TraceContext.java:458) at java.lang.Thread.run(Thread.java:679)

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• Strange problem with Google App Engine Java Mail

  - by Velu

  Hi, I'm using the MailService feature of Google App Engine in my application. It works fine in one application without any issues. But the same code doesn't work in another app. I'm not able to figure it out. Please help. Following is the piece of code that I use to send mail. public static void sendHTMLEmail(String from, String fromName, String to, String toName, String subject, String body) { _logger.info("entering ..."); Properties props = new Properties(); Session session = Session.getDefaultInstance(props, null); _logger.info("got mail session ..."); String htmlBody = body; try { Message msg = new MimeMessage(session); _logger.info("created mimemessage ..."); msg.setFrom(new InternetAddress(from, fromName)); _logger.info("from is set ..."); msg.addRecipient(Message.RecipientType.TO, new InternetAddress( to, toName)); _logger.info("recipient is set ..."); msg.setSubject(subject); _logger.info("subject is set ..."); Multipart mp = new MimeMultipart(); MimeBodyPart htmlPart = new MimeBodyPart(); htmlPart.setContent(htmlBody, "text/html"); mp.addBodyPart(htmlPart); _logger.info("body part added ..."); msg.setContent(mp); _logger.info("content is set ..."); Transport.send(msg); _logger.info("email sent successfully."); } catch (AddressException e) { e.printStackTrace(); } catch (MessagingException e) { e.printStackTrace(); } catch (UnsupportedEncodingException e) { e.printStackTrace(); } catch (Exception e) { e.printStackTrace(); System.err.println(e.getMessage()); } } When I look at the log (on the server admin console), it prints the statement "content is set ..." and after that there is nothing in the log. The mail is not sent. At times I get the following error after the above statement is printed (and the mail is not sent). com.google.appengine.repackaged.com.google.common.base.internal.Finalizer getInheritableThreadLocalsField: Couldn't access Thread.inheritableThreadLocals. Reference finalizer threads will inherit thread local values. But the mail quota usage keeps increasing. Remember, this works fine in one application, but not in other. I'm using the same set of email addresses in both the apps (for from and to). I'm really stuck with this. Appreciate any help. Thank you. Velu

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• Cannot import resource > "app/config/security.yml" from "/app/config/config.yml"

  - by tirengarfio

  Im getting this error: FileLoaderLoadException: Cannot import resource "app/config/security.yml" from "/app/config/config.yml". The file security.yml is on the right path. This is my security.yml file: jms_sapp/confiapp/config/security.yml secure_all_services: false exprapp/confiapp/config/security.yml security: encoders: Symfony\Component\Security\Core\User\User: plaintext role_hierarchy: ROLE_ADMIN: ROLE_USER ROLE_SUPER_ADMIN: [ROLE_USER, ROLE_ADMIN, ROLE_ALLOWED_TO_SWITCH] providers: in_memory: memory: users: user: { password: userpass, roles: [ 'ROLE_USER' ] } admin: { password: adminpass, roles: [ 'ROLE_ADMIN' ] } firewalls: dev: pattern: ^/(_(profiler|wdt)|css|images|js)/ security: false login: pattern: ^/demo/secured/login$ security: false secured_area: pattern: ^/demo/secured/ form_login: check_path: /demo/secured/login_check login_path: /demo/secured/login logout: path: /demo/secured/logout target: /demo/ #anonymous: ~ #http_basic: # realm: "Secured Demo Area" access_control: #- { path: ^/login, roles: IS_AUTHENTICATED_ANONYMOUSLY, requires_channel: https } #- { path: ^/_internal/secure, roles: IS_AUTHENTICATED_ANONYMOUSLY, ip: 127.0.0.1 }

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• using grails and google app engine to store image as blob and the view dynamically

  - by mswallace

  I am trying to dynamically display an image that I am storing in the google datastore as a Blob. I am not getting any errors but I am getting a broken image on the page that I view. Any help would be awesome! I have the following code in my grails app domain class has the following @PrimaryKey @Persistent(valueStrategy = IdGeneratorStrategy.IDENTITY) Long id @Persistent String siteName @Persistent String url @Persistent Blob img @Persistent String yourName @Persistent String yourURL @Persistent Date date static constraints = { id( visible:false) } My save method in the controller has this def save = { params.img = new Blob(params.imgfile.getBytes()) def siteInfoInstance = new SiteInfo(params) if(!siteInfoInstance.hasErrors() ) { try{ persistenceManager.makePersistent(siteInfoInstance) } finally{ flash.message = "SiteInfo ${siteInfoInstance.id} created" redirect(action:show,id:siteInfoInstance.id) } } render(view:'create',model:[siteInfoInstance:siteInfoInstance]) } My view has the following <img src="${createLink(controller:'siteInfoController', action:'showImage', id:fieldValue(bean:siteInfoInstance, field:'id'))}"></img> and the method in my controller that it is calling to display a link to the image looks like this def showImage = { def site = SiteInfo.get(params.id)// get the record response.outputStream << site.img // write the image to the outputstream response.outputStream.flush() }

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• Google App Engine with Java - Error running javac.exe compiler

  - by dta

  On Windows XP Just downloaed and unzipped google app engine java sdk to C:\Program Files\appengine-java-sdk I have jdk installed in C:\Program Files\Java\jdk1.6.0_20. I ran the sample application by appengine-java-sdk\bin\dev_appserver.cmd appengine-java-sdk\demos\guestbook\war Then I visited localhost:8080 to find : HTTP ERROR 500 Problem accessing /. Reason: Error running javac.exe compiler Caused by: Error running javac.exe compiler at org.apache.tools.ant.taskdefs.compilers.DefaultCompilerAdapter.executeExternalCompile(DefaultCompilerAdapter.java:473) How to Fix it? My JAVA_HOME points to C:\Program Files\Java\jdk1.6.0_20. I also tried chaning my appcfg.cmd to : @"C:\Program Files\Java\jdk1.6.0_20\bin\java" -cp "%~dp0..\lib\appengine-tools-api.jar" com.google.appengine.tools.admin.AppCfg %* It too didn't work.

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• Oracle SQL Developer Data Modeler: What Tables Aren’t In At Least One SubView?

  - by thatjeffsmith

  Organizing your data model makes the information easier to consume. One of the organizational tools provided by Oracle SQL Developer Data Modeler is the ‘SubView.’ In a nutshell, a SubView is a subset of your model. The Challenge: I’ve just created a model which represents my entire ____________ application. We’ll call it ‘residential lending.’ Instead of having all 100+ tables in a single model diagram, I want to break out the tables by module, e.g. appraisals, credit reports, work histories, customers, etc. I’ve spent several hours breaking out the tables to one or more SubViews, but I think i may have missed a few. Is there an easy way to see what tables aren’t in at least ONE subview? The Answer Yes, mostly. The mostly comes about from the way I’m going to accomplish this task. It involves querying the SQL Developer Data Modeler Reporting Schema. So if you don’t have the Reporting Schema setup, you’ll need to do so. Got it? Good, let’s proceed. Before you start querying your Reporting Schema, you might need a data model for the actual reporting schema…meta-meta data! You could reverse engineer the data modeler reporting schema to a new data model, or you could just reference the PDFs in \datamodeler\reports\Reporting Schema diagrams directory. Here’s a hint, it’s THIS one The Query Well, it’s actually going to be at least 2 queries. We need to get a list of distinct designs stored in your repository. For giggles, I’m going to get a listing including each version of the model. So I can query based on design and version, or in this case, timestamp of when it was added to the repository. We’ll get that from the DMRS_DESIGNS table: SELECT DISTINCT design_name, design_ovid, date_published FROM DMRS_designs Then I’m going to feed the design_ovid, down to a subquery for my child report. select name, count(distinct diagram_id) from DMRS_DIAGRAM_ELEMENTS where design_ovid = :dESIGN_OVID and type = 'Table' group by name having count(distinct diagram_id) < 2 order by count(distinct diagram_id) desc Each diagram element has an entry in this table, so I need to filter on type=’Table.’ Each design has AT LEAST one diagram, the master diagram. So any relational table in this table, only having one listing means it’s not in any SubViews. If you have overloaded object names, which is VERY possible, you’ll want to do the report off of ‘OBJECT_ID’, but then you’ll need to correlate that to the NAME, as I doubt you’re so intimate with your designs that you recognize the GUIDs So I’m going to cheat and just stick with names, but I think you get the gist. My Model Of my almost 90 tables, how many of those have I not added to at least one SubView? Now let’s run my report! Voila! My ‘BEER2′ table isn’t in any SubView! It says ’1′ because the main model diagram counts as a view. So if the count came back as ’2′, that would mean the table was in the main model diagram and in 1 SubView diagram. And I know what you’re thinking, what kind of residential lending program would have a table called ‘BEER2?’ Let’s just say, that my business model has some kinks to work out!

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• App.config connection string Protection error

  - by MikeScott8

  I am running into an issue I had before; can't find my reference on how to solve it. Here is the issue. We encrypt the connection strings section in the app.config for our client application using code below: config = ConfigurationManager.OpenExeConfiguration(ConfigurationUserLevel.None) If config.ConnectionStrings.SectionInformation.IsProtected = False Then config.ConnectionStrings.SectionInformation.ProtectSection(Nothing) ' We must save the changes to the configuration file.' config.Save(ConfigurationSaveMode.Modified, True) End If The issue is we had a salesperson leave. The old laptop is going to a new salesperson and under the new user's login, when it tries to to do this we get an error. The error is: Unhandled Exception: System.Configuration.ConfigurationErrorsException: An error occurred executing the configuration section handler for connectionStrings. ---> System.Configuration.ConfigurationErrorsException: Failed to encrypt the section 'connectionStrings' using provider 'RsaProtectedConfigurationProvider'. Error message from the provider: Object already exists. ---> System.Security.Cryptography.CryptographicException: Object already exists

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• Google App Engine (python): TemplateSyntaxError: 'for' statements with five words should end in 'rev

  - by Phil

  This is using the web app framework, not Django. The following template code is giving me an TemplateSyntaxError: 'for' statements with five words should end in 'reversed' error when I try to render a dictionary. I don't understand what's causing this error. Could somebody shed some light on it for me? {% for code, name in charts.items %} <option value="{{code}}">{{name}}</option> {% endfor %} I'm rendering it using the following: class GenerateChart(basewebview): def get(self): values = {"datepicker":True} values["charts"] = {"p3": "3D Pie Chart", "p": "Segmented Pied Chart"} self.render_page("generatechart.html", values) class basewebview(webapp.RequestHandler): ''' Base class for all webapp.RequestHandler type classes ''' def render_page(self, filename, template_values=dict()): filename = "%s/%s" % (_template_dir, filename) path = os.path.join(os.path.dirname(__file__), filename) self.response.out.write(template.render(path, template_values))

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• Refreshing imported MySQL data with MySQL for Excel

  - by Javier Rivera

  Welcome to another blog post from the MySQL for Excel Team. Today we're going to talk about a new feature included since MySQL for Excel 1.3.0, you can install the latest GA or maintenance version using the MySQL Installer or optionally you can download directly any GA or non-GA version from the MySQL Developer Zone.As some users suggested in our forums we should be maintaining the link between tables and Excel not only when editing data through the Edit MySQL Data option, but also when importing data via Import MySQL Data. Before 1.3.0 this process only provided you with an offline copy of the Table's data into Excel and you had no way to refresh that information from the DB later on. Now, with this new feature we'll show you how easy is to work with the latest available information at all times. This feature is transparent to you (it doesn't require additional steps to work as long as the users had the Create an Excel Table for the imported MySQL table data option enabled. To ensure you have this option checked, click over Advanced Options... after the Import Data dialog is displayed). The current blog post assumes you already know how to import data into excel, you could always take a look at our previous post How To - Guide to Importing Data from a MySQL Database to Excel using MySQL for Excel if you need further reference on that topic. After importing Data from a MySQL Table into Excel, you can refresh the data in 3 ways.1. Simply right click over the range of the imported data, to show the pop-up menu: Click over the Refresh button to obtain the latest copy of the data in the table. 2. Click the Refresh button on the Data ribbon: 3. Click the Refresh All button in the Data ribbon (beware this will refresh all Excel tables in the Workbook): Please take a note of a couple of details here, the first one is about the size of the table. If by the time you refresh the table new columns had been added to it, and you originally have imported all columns, the table will grow to the right. The same applies to rows, if the table has new rows and you did not limit the results , the table will grow to to the bottom of the sheet in Excel. The second detail you should take into account is this operation will overwrite any changes done to the cells after the table was originally imported or previously refreshed: Now with this new feature, imported data remains linked to the data source and is available to be updated at all times. It empowers the user to always be able to work with the latest version of the imported MySQL data. We hope you like this this new feature and give it a try! Remember that your feedback is very important for us, so drop us a message with your comments, suggestions for this or other features and follow us at our social media channels: MySQL on Windows (this) Blog: https://blogs.oracle.com/MySqlOnWindows/ MySQL for Excel forum: http://forums.mysql.com/list.php?172 Facebook: http://www.facebook.com/mysql YouTube channel: https://www.youtube.com/user/MySQLChannel Thanks!

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• Filtering by entity key name in Google App Engine on Python

  - by Bemmu

  On Google App Engine to query the data store with Python, one can use GQL or Entity.all() and then filter it. So for example these are equivalent gql = "SELECT * FROM User WHERE age >= 18" db.GqlQuery(gql) and query = User.all() query.filter("age >=", 18) Now, it's also possible to query things by key name. I know that in GQL you do it like this gql = "SELECT * FROM User WHERE __key__ >= Key('User', 'abc')" db.GqlQuery(gql) But how would you now use filter to do the same? query = User.all() query.filter("__key__ >=", ?????)

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• Datanucleus/JDO Level 2 Cache on Google App Engine

  - by Thilo

  Is it possible (and does it make sense) to use the JDO Level 2 Cache for the Google App Engine Datastore? First of all, why is there no documentation about this on Google's pages? Are there some problems with it? Do we need to set up limits to protect our memcache quota? According to DataNucleus on Stackoverflow, you can set the following persistence properties: datanucleus.cache.level2.type=javax.cache datanucleus.cache.level2.cacheName={cache name} Is that all? Can we choose any cache name? Other sources on the Internet report using different settings. Also, it seems we need to download the DataNucleus Cache support plugin. Which version would be appropriate? And do we just place it in WEB-INF/lib or does it need more setup to activate it?

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• Python and App Engine project structure

  - by Joel

  Hello, I am relatively new to python and app engine, and I just finished my first project. It consists of several *.py files (usually py file for every page on the site) and respectively temple files for each py file. In addition, I have one big PY file that has many functions that are common to a lot of pages, in I also declared the classes of db.Model (that is the datastore kinds). My question is what is the convention (if there is one) of arranging these files. If I create a model.py with the datastore classes, should it be in different package? Where should I put my template files and all of the py files that handle every page (should they be in the same directory as the one big common PY file)? I have tried to look for MVC and such implementations online but there are very few. Thanks, Joel

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• having a test debug app and a released debug app side by side

  - by Tristan

  Yo! When I download my app from the iStore, the latest test version installed to my phone gets over written. Does anyone know how to have two versions of the same app side by side? On a test project, I edited the build settings so that "realease" and "debug" have different product names. This seemed to solve my problem, however when I try this same trick on my actual project, the two overwrite each other again. Does anyone have a recommendation? I don't mind how it's done. Thanks! Tristan

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• Analyzing data from same tables in diferent db instances.

  - by Oscar Reyes

  Short version: How can I map two columns from table A and B if they both have a common identifier which in turn may have two values in column C Lets say: A --- 1 , 2 B --- ? , 3 C ----- 45, 2 45, 3 Using table C I know that id 2 and 3 belong to the same item ( 45 ) and thus "?" in table B should be 1. What query could do something like that? EDIT Long version ommited. It was really boring/confusing EDIT I'm posting some output here. From this query: select distinct( rolein) , activityin from taskperformance@dm_prod where activityin in ( select activityin from activities@dm_prod where activityid in ( select activityid from activities@dm_prod where activityin in ( select distinct( activityin ) from taskperformance where rolein = 0 ) ) ) I have the following parts: select distinct( activityin ) from taskperformance where rolein = 0 Output: http://question1337216.pastebin.com/f5039557 select activityin from activities@dm_prod where activityid in ( select activityid from activities@dm_prod where activityin in ( select distinct( activityin ) from taskperformance where rolein = 0 ) ) Output: http://question1337216.pastebin.com/f6cef9393 And finally: select distinct( rolein) , activityin from taskperformance@dm_prod where activityin in ( select activityin from activities@dm_prod where activityid in ( select activityid from activities@dm_prod where activityin in ( select distinct( activityin ) from taskperformance where rolein = 0 ) ) ) Output: http://question1337216.pastebin.com/f346057bd Take for instace activityin 335 from first query ( from taskperformance B) . It is present in actvities from A. But is not in taskperformace in A ( but a the related activities: 92, 208, 335, 595 ) Are present in the result. The corresponding role in is: 1

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• How to use Pisa on Google App Engine to generate PDF from HTML\CSS

  - by systempuntoout

  I'm developing a simple GAE application that crawl some data from a given site and present it formatted in html\css. What i would like to do now is to offer the "Export to PDF feature" trasforming the formatted html\css to PDF. I've imported Reportlab Toolkit and it works good but it's not what i need since it forces me to create PDF manually like: pcanvas.drawString(10, 10, 'This is the title Blah blah blah') What i really need is a library like PISA that trasform Html\Css to PDF. Anyone has managed to succesfully intregrate and use PISA on Google App Engine? Any hints?

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• Extract wrong data from a frame in C?

  - by ipkiss

  I am writing a program that reads the data from the serial port on Linux. The data are sent by another device with the following frame format: |start | Command | Data | CRC | End | |0x02 | 0x41 | (0-127 octets) | | 0x03| ---------------------------------------------------- The Data field contains 127 octets as shown and octet 1,2 contains one type of data; octet 3,4 contains another data. I need to get these data. Because in C, one byte can only holds one character and in the start field of the frame, it is 0x02 which means STX which is 3 characters. So, in order to test my program, On the sender side, I construct an array as the frame formatted above like: char frame[254]; frame[0] = 0x02; // starting field frame[1] = 0x41; // command field which is character 'A' ..so on.. And, then On the receiver side, I take out the fields like: char result[254]; // read data read(result); printf("command = %c", result[1]); // get the command field of the frame // get other field's values the command field value (result[1]) is not character 'A'. I think, this because the first field value of the frame is 0x02 (STX) occupying 3 first places in the array frame and leading to the wrong results on the receiver side. How can I correct the issue or am I doing something wrong at the sender side? Thanks all. related questions: http://stackoverflow.com/questions/2500567/parse-and-read-data-frame-in-c http://stackoverflow.com/questions/2531779/clear-data-at-serial-port-in-linux-in-c

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• Django development targeting both the Google App Engine and Py2Exe

  - by bp

  I must hand in a mostly static database-driven website on a topic on my choice by the end of June as both a hosted version live on the internet and a stored version on a cd-rom. "Ease of launching" is one of the bulletpoints for evaluation of the project. (Yeah, I know.) I and my project mate are currently comparing various frameworks and technologies to help us deliver and deploy this as quickly and painlessly as possible. Theoretically, by using Django, I can target the Google App Engine (which I guess would provide us reliable, free-as-in-beer hosting) or the Py2Exe system + SQLLite (which I guess would make starting the website server from disk as hard as doubleclicking on an .exe file). Sounds better than what PHP and MySQL can ever hope to bring me, right? However, we need to target both Py2Exe and the GAE. How much of the differencies between these wildly different configurations are hidden by Django? What will instead require special attention and possibly specialized code on my end?

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• How to create breadcrumbs using Dynamic Data/LINQTOSQL framework?

  - by Chicago

  Hello, I need some EXAMPLES or IDEAS on how to created dynamic breadcrumb control which will dynamically generated breadcrumbs for Dynamic Date framework powered by LINQTOSQL

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• Jinja2 returns "None" string for Google App Engine models

  - by Brian M. Hunt

  Google App Engine models, likeso: from google.appengine.ext.db import Model class M(): name = db.StringProperty() Then in a Jinja2 template called from a Django view with an in instance of M passed in as m: The name of this M is {{ m.name }}. When m is initialized without name being set, the following is printed: The name of this M is None. The preferable and expected output (and the output when using Django templates) would be/is: The name of this M is . Do you know why this is happening, and how to get the preferred & expected output?

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• Oracle Data Integrator at Oracle OpenWorld 2012: Demonstrations

  - by Irem Radzik

  By Mike Eisterer Oracle OpenWorld is just a few days away and  we look forward to showing Oracle Data Integrator' comprehensive data integration platform, which delivers critical data integration requirements: from high-volume, high-performance batch loads, to event-driven, trickle-feed integration processes, to SOA-enabled data services.  Several Oracle Data Integrator demonstrations will be available October 1st through the3rd : Oracle Data Integrator and Oracle GoldenGate for Oracle Applications, in Moscone South, Right - S-240 Oracle Data Integrator and Service Integration, in Moscone South, Right - S-235 Oracle Data Integrator for Big Data, in Moscone South, Right - S-236 Oracle Data Integrator for Enterprise Data Warehousing, in Moscone South, Right - S-238 Additional information about OOW 2012 may be found for the following demonstrations. If you are not able to attend OpenWorld, please check out our latest resources for Data Integration.  

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• Fraud Detection with the SQL Server Suite Part 1

  - by Dejan Sarka

  While working on different fraud detection projects, I developed my own approach to the solution for this problem. In my PASS Summit 2013 session I am introducing this approach. I also wrote a whitepaper on the same topic, which was generously reviewed by my friend Matija Lah. In order to spread this knowledge faster, I am starting a series of blog posts which will at the end make the whole whitepaper. Abstract With the massive usage of credit cards and web applications for banking and payment processing, the number of fraudulent transactions is growing rapidly and on a global scale. Several fraud detection algorithms are available within a variety of different products. In this paper, we focus on using the Microsoft SQL Server suite for this purpose. In addition, we will explain our original approach to solving the problem by introducing a continuous learning procedure. Our preferred type of service is mentoring; it allows us to perform the work and consulting together with transferring the knowledge onto the customer, thus making it possible for a customer to continue to learn independently. This paper is based on practical experience with different projects covering online banking and credit card usage. Introduction A fraud is a criminal or deceptive activity with the intention of achieving financial or some other gain. Fraud can appear in multiple business areas. You can find a detailed overview of the business domains where fraud can take place in Sahin Y., & Duman E. (2011), Detecting Credit Card Fraud by Decision Trees and Support Vector Machines, Proceedings of the International MultiConference of Engineers and Computer Scientists 2011 Vol 1. Hong Kong: IMECS. Dealing with frauds includes fraud prevention and fraud detection. Fraud prevention is a proactive mechanism, which tries to disable frauds by using previous knowledge. Fraud detection is a reactive mechanism with the goal of detecting suspicious behavior when a fraudster surpasses the fraud prevention mechanism. A fraud detection mechanism checks every transaction and assigns a weight in terms of probability between 0 and 1 that represents a score for evaluating whether a transaction is fraudulent or not. A fraud detection mechanism cannot detect frauds with a probability of 100%; therefore, manual transaction checking must also be available. With fraud detection, this manual part can focus on the most suspicious transactions. This way, an unchanged number of supervisors can detect significantly more frauds than could be achieved with traditional methods of selecting which transactions to check, for example with random sampling. There are two principal data mining techniques available both in general data mining as well as in specific fraud detection techniques: supervised or directed and unsupervised or undirected. Supervised techniques or data mining models use previous knowledge. Typically, existing transactions are marked with a flag denoting whether a particular transaction is fraudulent or not. Customers at some point in time do report frauds, and the transactional system should be capable of accepting such a flag. Supervised data mining algorithms try to explain the value of this flag by using different input variables. When the patterns and rules that lead to frauds are learned through the model training process, they can be used for prediction of the fraud flag on new incoming transactions. Unsupervised techniques analyze data without prior knowledge, without the fraud flag; they try to find transactions which do not resemble other transactions, i.e. outliers. In both cases, there should be more frauds in the data set selected for checking by using the data mining knowledge compared to selecting the data set with simpler methods; this is known as the lift of a model. Typically, we compare the lift with random sampling. The supervised methods typically give a much better lift than the unsupervised ones. However, we must use the unsupervised ones when we do not have any previous knowledge. Furthermore, unsupervised methods are useful for controlling whether the supervised models are still efficient. Accuracy of the predictions drops over time. Patterns of credit card usage, for example, change over time. In addition, fraudsters continuously learn as well. Therefore, it is important to check the efficiency of the predictive models with the undirected ones. When the difference between the lift of the supervised models and the lift of the unsupervised models drops, it is time to refine the supervised models. However, the unsupervised models can become obsolete as well. It is also important to measure the overall efficiency of both, supervised and unsupervised models, over time. We can compare the number of predicted frauds with the total number of frauds that include predicted and reported occurrences. For measuring behavior across time, specific analytical databases called data warehouses (DW) and on-line analytical processing (OLAP) systems can be employed. By controlling the supervised models with unsupervised ones and by using an OLAP system or DW reports to control both, a continuous learning infrastructure can be established. There are many difficulties in developing a fraud detection system. As has already been mentioned, fraudsters continuously learn, and the patterns change. The exchange of experiences and ideas can be very limited due to privacy concerns. In addition, both data sets and results might be censored, as the companies generally do not want to publically expose actual fraudulent behaviors. Therefore it can be quite difficult if not impossible to cross-evaluate the models using data from different companies and different business areas. This fact stresses the importance of continuous learning even more. Finally, the number of frauds in the total number of transactions is small, typically much less than 1% of transactions is fraudulent. Some predictive data mining algorithms do not give good results when the target state is represented with a very low frequency. Data preparation techniques like oversampling and undersampling can help overcome the shortcomings of many algorithms. SQL Server suite includes all of the software required to create, deploy any maintain a fraud detection infrastructure. The Database Engine is the relational database management system (RDBMS), which supports all activity needed for data preparation and for data warehouses. SQL Server Analysis Services (SSAS) supports OLAP and data mining (in version 2012, you need to install SSAS in multidimensional and data mining mode; this was the only mode in previous versions of SSAS, while SSAS 2012 also supports the tabular mode, which does not include data mining). Additional products from the suite can be useful as well. SQL Server Integration Services (SSIS) is a tool for developing extract transform–load (ETL) applications. SSIS is typically used for loading a DW, and in addition, it can use SSAS data mining models for building intelligent data flows. SQL Server Reporting Services (SSRS) is useful for presenting the results in a variety of reports. Data Quality Services (DQS) mitigate the occasional data cleansing process by maintaining a knowledge base. Master Data Services is an application that helps companies maintaining a central, authoritative source of their master data, i.e. the most important data to any organization. For an overview of the SQL Server business intelligence (BI) part of the suite that includes Database Engine, SSAS and SSRS, please refer to Veerman E., Lachev T., & Sarka D. (2009). MCTS Self-Paced Training Kit (Exam 70-448): Microsoft® SQL Server® 2008 Business Intelligence Development and Maintenance. MS Press. For an overview of the enterprise information management (EIM) part that includes SSIS, DQS and MDS, please refer to Sarka D., Lah M., & Jerkic G. (2012). Training Kit (Exam 70-463): Implementing a Data Warehouse with Microsoft® SQL Server® 2012. O'Reilly. For details about SSAS data mining, please refer to MacLennan J., Tang Z., & Crivat B. (2009). Data Mining with Microsoft SQL Server 2008. Wiley. SQL Server Data Mining Add-ins for Office, a free download for Office versions 2007, 2010 and 2013, bring the power of data mining to Excel, enabling advanced analytics in Excel. Together with PowerPivot for Excel, which is also freely downloadable and can be used in Excel 2010, is already included in Excel 2013. It brings OLAP functionalities directly into Excel, making it possible for an advanced analyst to build a complete learning infrastructure using a familiar tool. This way, many more people, including employees in subsidiaries, can contribute to the learning process by examining local transactions and quickly identifying new patterns.

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• Portlet container like pluto or jetspeed on google app engine?

  - by Patrick Cornelissen

  I am trying to build something "portlet server"-ish on the google app engine. (as open source) I'd like to use the JSR168/286 standards, but I think that the restrictions of the app engine will make it somewhere between tricky and impossible. Has anyone tried to run jetspeed or an application that uses pluto internally on the google app engine? Based on my current knowledge of portlets and the google app engine I'm anticipating these problems: A war file with portlets is from the deployment standpoint more or less a complete webapp (yes, I know that it doesn't really work without a portal server). The war file may contain it's own web.xml etc. This makes deployment on the app engine rather difficult, because the apps are not visible to each other, so all portlet containing archives need to be included in the war file of the deployed "app engine based portal server". The "portlets" are (at least in liferay) started as permanent servlet processes, based on their portlet.xmls and web.xmls which is located in the same spot for every portlet archive that is loaded. I think this may be problematic in the app engine, because everything is in one big "web app", so it may be tricky to access the portlet.xmls from each archive. This prevents a 100% compatibility in my opinion. Is here anyone who has any experience with the combination of portlets and the app engine? Do you think it's feasible to modify jetspeed, pluto or any other portlet container to be able to run it on the app engine?

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• Which algorithms/data structures should I "recognize" and know by name?

  - by Earlz

  I'd like to consider myself a fairly experienced programmer. I've been programming for over 5 years now. My weak point though is terminology. I'm self-taught, so while I know how to program, I don't know some of the more formal aspects of computer science. So, what are practical algorithms/data structures that I could recognize and know by name? Note, I'm not asking for a book recommendation about implementing algorithms. I don't care about implementing them, I just want to be able to recognize when an algorithm/data structure would be a good solution to a problem. I'm asking more for a list of algorithms/data structures that I should "recognize". For instance, I know the solution to a problem like this: You manage a set of lockers labeled 0-999. People come to you to rent the locker and then come back to return the locker key. How would you build a piece of software to manage knowing which lockers are free and which are in used? The solution, would be a queue or stack. What I'm looking for are things like "in what situation should a B-Tree be used -- What search algorithm should be used here" etc. And maybe a quick introduction of how the more complex(but commonly used) data structures/algorithms work. I tried looking at Wikipedia's list of data structures and algorithms but I think that's a bit overkill. So I'm looking more for what are the essential things I should recognize?

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• Google App Engine Email

  - by Frank

  I use the following method to send email in the Google App Engine servlet : void Send_Email(String From,String To,String Message_Text) { Properties props=new Properties(); Session session=Session.getDefaultInstance(props,null); try { Message msg=new MimeMessage(session); msg.setFrom(new InternetAddress(From,"nmjava.com Admin")); msg.addRecipient(Message.RecipientType.TO,new InternetAddress(To,"Ni , Min")); msg.setSubject("Servlet Message"); msg.setText(Message_Text); Transport.send(msg); } catch (Exception ex) { // ... } } But it doesn't work, have I missed anything ? Has anyone got the email function working ?

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• Understanding Data Science: Recent Studies

  - by Joe Lamantia

  If you need such a deeper understanding of data science than Drew Conway's popular venn diagram model, or Josh Wills' tongue in cheek characterization, "Data Scientist (n.): Person who is better at statistics than any software engineer and better at software engineering than any statistician." two relatively recent studies are worth reading.   'Analyzing the Analyzers,' an O'Reilly e-book by Harlan Harris, Sean Patrick Murphy, and Marck Vaisman, suggests four distinct types of data scientists -- effectively personas, in a design sense -- based on analysis of self-identified skills among practitioners.  The scenario format dramatizes the different personas, making what could be a dry statistical readout of survey data more engaging.  The survey-only nature of the data,  the restriction of scope to just skills, and the suggested models of skill-profiles makes this feel like the sort of exercise that data scientists undertake as an every day task; collecting data, analyzing it using a mix of statistical techniques, and sharing the model that emerges from the data mining exercise.  That's not an indictment, simply an observation about the consistent feel of the effort as a product of data scientists, about data science.  And the paper 'Enterprise Data Analysis and Visualization: An Interview Study' by researchers Sean Kandel, Andreas Paepcke, Joseph Hellerstein, and Jeffery Heer considers data science within the larger context of industrial data analysis, examining analytical workflows, skills, and the challenges common to enterprise analysis efforts, and identifying three archetypes of data scientist.  As an interview-based study, the data the researchers collected is richer, and there's correspondingly greater depth in the synthesis.  The scope of the study included a broader set of roles than data scientist (enterprise analysts) and involved questions of workflow and organizational context for analytical efforts in general.  I'd suggest this is useful as a primer on analytical work and workers in enterprise settings for those who need a baseline understanding; it also offers some genuinely interesting nuggets for those already familiar with discovery work. We've undertaken a considerable amount of research into discovery, analytical work/ers, and data science over the past three years -- part of our programmatic approach to laying a foundation for product strategy and highlighting innovation opportunities -- and both studies complement and confirm much of the direct research into data science that we conducted. There were a few important differences in our findings, which I'll share and discuss in upcoming posts.

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