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  • Identity Map Pattern and the Entity Framework

    - by nikolaosk
    This is going to be the seventh post of a series of posts regarding ASP.Net and the Entity Framework and how we can use Entity Framework to access our datastore. You can find the first one here , the second one here and the third one here , the fourth one here , the fifth one here and the sixth one here . I have a post regarding ASP.Net and EntityDataSource. You can read it here .I have 3 more posts on Profiling Entity Framework applications. You can have a look at them here , here and here . In...(read more)

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  • Google I/O 2010 - Appstats - instrumentation for App Engine

    Google I/O 2010 - Appstats - instrumentation for App Engine Google I/O 2010 - Appstats - RPC instrumentation and optimizations for App Engine App Engine 201 Guido van Rossum Appstats is a pure userland library (for Python and Java) that inserts instrumentation hooks into the App Engine runtime at the interface between the runtime and services like the datastore. The collected statistics can be browsed in a rich UI which allows drilling down to various levels of detail. The talk will also discuss common optimizations to address typical findings. For all I/O 2010 sessions, please go to code.google.com From: GoogleDevelopers Views: 19 0 ratings Time: 59:31 More in Science & Technology

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  • Using Microsoft Excel as a Source and a Target in Oracle Data Integrator

    - by julien.testut
    The posts in this series assume that you have some level of familiarity with ODI. The concepts of Models, Datastores, Logical Schema, Knowledge Modules and Interfaces are used here assuming that you understand them in the context of ODI. If you need more details on these elements, please refer to the ODI Tutorial for a quick introduction, or to the complete ODI documentation for more details. Recently we saw how to create a create a connection to Microsoft Excel let's now take a look at how we can use Microsoft Excel as a source or a target in ODI interfaces. Create a Model in Designer First we need to create a new Model and a datastore for our Microsoft Excel spreadsheet. In Designer open up the Models view and insert a new Model. Give a name to your model, I used EXCEL_SRC_CITY.

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  • Google I/O 2010 - Data migration in App Engine

    Google I/O 2010 - Data migration in App Engine Google I/O 2010 - Data migration in App Engine App Engine 201 Matthew Blain Learn about the App Engine bulk loader and see an example of migrating data from an external data source into the app engine datastore--and back out. Do you have data stored in a traditional, relational DB which you'd like to upload to App Engine? This session will teach you how. For all I/O 2010 sessions, please go to code.google.com From: GoogleDevelopers Views: 6 0 ratings Time: 44:26 More in Science & Technology

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  • BigQuery: Simple example of a data collection and analysis pipeline + Your questions

    BigQuery: Simple example of a data collection and analysis pipeline + Your questions Join Michael Manoochehri and Ryan Boyd live to talk about Google BigQuery. We'll give an overview of how we're using our cars, phones, App Engine and BigQuery to collect and analyze data. We'll be discussing our trusted tester feature which allows analyzing data from the App Engine datastore. We'll also review some of the more interesting questions from Stack Overflow and take questions via Google Moderator. From: GoogleDevelopers Views: 250 16 ratings Time: 26:53 More in Science & Technology

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  • Moving from a traditional in memory Java session to persistent storage sessions

    - by Benju
    We have decided to take the plunge and move from using a typical java session provider in Tomcat/Jetty/etc to persisting everything to a central datastore. We are looking at using MongoDB for this. A few options come to mind... http://wiki.eclipse.org/Jetty/Tutorial/MongoDB_Session_Clustering This is nice because it will "auto-magically" persist our session to a Mongo installation. I am concerned however that we will not have fine grained control of what is happening. https://github.com/mattinsler/com.lowereast.guiceymongo/ GuiceMongo is interesting as it integrates with Guice. Perhaps we could persist everything via this ORM. Has anybody had to deal with this kind of move? It seems that moving from in memory to persistent session storage has a lot of gotchas.

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  • Could not import Django settings into Google App Engine

    - by gkelsall
    Hello all you Google App Engine experts, I have used Django a little before but am new to Google App Engine and am trying to use it's development web server with Django for the first time. I don't know if this is relevent but I previously had Django 1.1 and Python 2.6 on my Windows XP and even though I have uninstalled Python 2.6 there is still a folder and entries in the registry. I have followed the instructions from Google but when I browse to the GAE developemnt web server it cannot find my settings (details below). Any hints gratefully received. Regards Geoff C:\Documents and Settings\GeoffK\My Documents\ing\ingsite>echo %PATH% C:\WINDOWS\system32;C:\WINDOWS;C:\WINDOWS\System32\Wbem;C:\WINDOWS \system32\WindowsPowerShell\v1.0;;C:\Python25;C:\Python25\Lib\site- packages\django\bin;C:\Documents and Settings\GeoffK\My Documents\ing \ingsite;C:\Program Files\Google\google_appengine\ C:\Documents and Settings\GeoffK\My Documents\ing\ingsite>echo %PYTHONPATH% C:\Documents and Settings\GeoffK\My Documents\ing\ingsite C:\Documents and Settings\GeoffK\My Documents\ing\ingsite>C:\Documents and Settings\GeoffK\My Documents\ing\ingsite>dev_appserver.py -- debug_imports ingiliz\ INFO 2009-08-04 07:29:45,328 appengine_rpc.py:157] Server: appengine.google. com INFO 2009-08-04 07:29:45,358 appcfg.py:322] Checking for updates to the SDK. INFO 2009-08-04 07:29:45,578 appcfg.py:336] The SDK is up to date. WARNING 2009-08-04 07:29:45,578 datastore_file_stub.py:404] Could not read data store data from c:\docume~1\geoffk\locals~1\temp \dev_appserver.datastore WARNING 2009-08-04 07:29:45,578 datastore_file_stub.py:404] Could not read data store data from c:\docume~1\geoffk\locals~1\temp \dev_appserver.datastore.history WARNING 2009-08-04 07:29:45,608 dev_appserver.py:3296] Could not initialize ima ges API; you are likely missing the Python "PIL" module. ImportError: No module named _imaging INFO 2009-08-04 07:29:45,625 dev_appserver_main.py:465] Running application ingiliz on port 8080: http://localhost:8080 ..... Now attempting to browse if need more detail here I can post ..... if not settings.DATABASE_ENGINE: File "C:\Python25\lib\site-packages\django\conf\__init__.py", line 28, in __ge tattr__ self._import_settings() File "C:\Python25\lib\site-packages\django\conf\__init__.py", line 59, in _imp ort_settings self._target = Settings(settings_module) File "C:\Python25\lib\site-packages\django\conf\__init__.py", line 94, in __in it__ raise ImportError, "Could not import settings '%s' (Is it on sys.path? Does it have syntax errors?): %s" % (self.SETTINGS_MODULE, e) ImportError: Could not import settings 'settings' (Is it on sys.path? Does it ha ve syntax errors?): No module named settings INFO 2009-08-04 07:31:02,187 dev_appserver.py:2982] "GET / HTTP/ 1.1" 500 -

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  • Dojo JsonRest store and dijit.Tree

    - by user1427712
    I'm having a some problem making JSonRest store and dijit.Tree with ForestModel. I've tried some combination of JsonRestStore and json data format following many tips on the web, with no success. At the end, taking example form here http://blog.respondify.se/2011/09/using-dijit-tree-with-the-new-dojo-object-store/ I've made up this simple page (I'm using dojotolkit 1.7.2) <!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd"> <html> <head> <meta http-equiv="Content-Type" content="text/html; charset=ISO-8859-1"> <title>Tree Model Explorer</title> <script type="text/javascript"> djConfig = { parseOnLoad : true, isDebug : true, } </script> <script type="text/javascript" djConfig="parseOnLoad: true" src="lib/dojo/dojo.js"></script> <script type="text/javascript"> dojo.require("dojo.parser"); dojo.require("dijit.Tree"); dojo.require("dojo.store.JsonRest"); dojo.require("dojo.data.ObjectStore"); dojo.require("dijit.tree.ForestStoreModel"); dojo.addOnLoad(function() { var objectStore = new dojo.store.JsonRest({ target : "test.json", labelAttribute : "name", idAttribute: "id" }); var dataStore = new dojo.data.ObjectStore({ objectStore : objectStore }); var treeModel = new dijit.tree.ForestStoreModel({ store : dataStore, deferItemLoadingUntilExpand : true, rootLabel : "Subjects", query : { "id" : "*" }, childrenAttrs : [ "children" ] }); var tree = new dijit.Tree({ model : treeModel }, 'treeNode'); tree.startup(); }); </script> </head> <body> <div id="treeNode"></div> </body> </html> My rest service responds the following json { data: [ { "id": "PippoId", "name": "Pippo", "children": [] }, { "id": "PlutoId", "name": "Pluto", "children": [] }, { "id": "PaperinoId", "name": "Paperino", "children": [] } ]} I've tried also with the following response (actually my final intention n is to use lazy loading for the tree) { data: [ { "id": "PippoId", "name": "Pippo", "$ref": "author0", "children": true }, { "id": "PlutoId", "name": "Pluto", "$ref": "author1", "children": true }, { "id": "PaperinoId", "name": "Paperino", "$ref": "author2", "children": true } ]} Neither of the two works. I see no error message in firebug. I simply see the root "Subject" on the page. Thanks to anybody could help in some way.

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  • Returning IEnumerable from an indexer, bad practice?

    - by fearofawhackplanet
    If I had a CarsDataStore representing a table something like: Cars -------------- Ford | Fiesta Ford | Escort Ford | Orion Fiat | Uno Fiat | Panda Then I could do IEnumerable<Cars> fords = CarsDataStore["Ford"]; Is this a bad idea? It's iconsistent with the other datastore objects in my api (which all have a single column PK indexer), and I'm guessing most people don't expect an indexer to return a collection in this situation.

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  • Data store for capturing votes & aggregating them

    - by Nathan de Vries
    I'm interested in using Node.js as a socket server for stream-based communication with tens of thousands of clients. Clients will be sending votes for particular pieces of content, and receiving near-realtime updates of aggregated vote tallies from the server. The datastore needs to support: Storing the votes Summarising the votes in near-realtime Preventing multiple votes within an arbitrary time period (e.g. clients can only vote once for a piece of content every 1 minute) Something that already has client libraries for Node.js would be preferable.

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  • Running RSpec on Google App Engine via JRuby

    - by Carl
    I'm trying to write some tests (RSpec) against the AppEngine and its datastore. I've tried to load the environment and tests via: appcfg.rb run -S spec app/tests/ And I end up with the following error: spec:19: undefined method `bin_path' for Gem:Module (NoMethodError) I can run non-appengine specs just fine by running: spec app/tests/ Any suggestions on how to get RSpec up and running with JRuby and Google App Engine would be greatly appreciated. Thank you.

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  • Geocoding Chinese addresses using Google Maps API in Python?

    - by Jack Low
    I have looked into Geopy and googlemaps (http://py-googlemaps.sourceforge.net/) and they both do not work for Chinese addresses. My app is stored on the Google App Engine. What I want to do is to parse a file containing addresses of restaurants in Hong Kong, and then Geocode the addresses and store the Lat and Lng in the datastore. How do I do this?

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  • Does Python's shelve module use memory-mapped IO?

    - by Matt Luongo
    Does anyone know if Python's shelve module uses memory-mapped IO? Maybe that question is a bit misleading. I realize that shelve uses an underlying dbm-style module to do its dirty work. What are the chances that the underlying module uses mmap? I'm prototyping a datastore, and while I realize premature optimization is generally frowned upon, this could really help me understand the trade-offs involved in my design.

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  • A/B testing on App Engine?

    - by Silver Dragon
    What would be the simplest implementation of an A/B testing system running on App engine? I'm especially keen towards performance implications of using Datastore for back-end (with looong query times), and database design.

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  • Tools to work with App Engine data dumps

    - by Thilo
    Using the bulkloader.py utility you can download all data from your application's Datastore. It is not obvious how the data is stored, however. From the looks of it, you get a SQLite file with all data in binary format in a single table: sqlite> .tables bulkloader_database_signature result sqlite> .schema result CREATE TABLE result ( id BLOB primary key, value BLOB not null, sort_key BLOB); Are there any tools to work with this data?

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  • What should be the considerations for choosing SQL/NoSQL?

    - by Yuval A
    Target application is a medium-sized website built to support several hundred-thousand users an hour, with an option to scale above that. Data model is rather simple, and caching potential is pretty high (~10:1 ratio of read to edit actions). What should be the considerations when coming to choose between a relational, SQL-based datastore to a NoSQL option (such as HBase and Cassandra)?

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  • Do Resource Adapters make RPC calls

    - by Subramanian
    The J2EE Conn Architecture deals with resource adapters to communicate with data stores - databases or EIS. From the adapter/driver perspective would it be right to say that they make a RPC call to the datastore? Or does RPC necessarily have to be a "discover and invoke" (lookup and call) type of call?

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  • How do you determine an acceptable response time for DB requests?

    - by qiq
    According to this discussion of Google App Engine on Hacker News, A DB (read) request takes over 100ms on the datastore. That's insane and unusable for about 90% of applications. How do you determine what is an acceptable response time for a DB read request? I have been using App Engine without noticing any issues with DB responsiveness. But, on the other hand, I'm not sure I would even know what to look for in that regard :)

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  • Google App Engine appcfg.py data_upload Authentication fail

    - by Pradeep Upadhyay
    Hi, I am using appcfg.py to upload data to datastore from a csv file. But every time I try, I am getting error: [info ] Authentication failed even if i am using Admin id and password. In my app.yaml file I am having: handlers: - url: /remote_api script: $PYTHON_LIB/google/appengine/ext/remote_api/handler.py login: admin - url: .* script: MainHandler.py Can anybody please help me? Thanks in advance.

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  • Search the Quartz maps

    - by user197127
    Hi, I would like to store some properties in the quartz datastore (jdbc) and then be able to find all triggers/jobs that match. E.g. store the user id related to a trigger and then query like user_id=555. Previously, I used to query the database directly but this is naturally not a good way. Anyone has another suggestion on how to accomplish this? Thanks.

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  • Is this a legitimate implementation of a 'remember me' function for my web app?

    - by user246114
    Hi, I'm trying to add a "remember me" feature to my web app to let a user stay logged in between browser restarts. I think I got the bulk of it. I'm using google app engine for the backend which lets me use java servlets. Here is some pseudo-code to demo: public class MyServlet { public void handleRequest() { if (getThreadLocalRequest().getSession().getAttribute("user") != null) { // User already has session running for them. } else { // No session, but check if they chose 'remember me' during // their initial login, if so we can have them 'auto log in' // now. Cookie[] cookies = getThreadLocalRequest().getCookies(); if (cookies.find("rememberMePlz").exists()) { // The value of this cookie is the cookie id, which is a // unique string that is in no way based upon the user's // name/email/id, and is hard to randomly generate. String cookieid = cookies.find("rememberMePlz").value(); // Get the user object associated with this cookie id from // the data store, would probably be a two-step process like: // // select * from cookies where cookieid = 'cookieid'; // select * from users where userid = 'userid fetched from above select'; User user = DataStore.getUserByCookieId(cookieid); if (user != null) { // Start session for them. getThreadLocalRequest().getSession() .setAttribute("user", user); } else { // Either couldn't find a matching cookie with the // supplied id, or maybe we expired the cookie on // our side or blocked it. } } } } } // On first login, if user wanted us to remember them, we'd generate // an instance of this object for them in the data store. We send the // cookieid value down to the client and they persist it on their side // in the "rememberMePlz" cookie. public class CookieLong { private String mCookieId; private String mUserId; private long mExpirationDate; } Alright, this all makes sense. The only frightening thing is what happens if someone finds out the value of the cookie? A malicious individual could set that cookie in their browser and access my site, and essentially be logged in as the user associated with it! On the same note, I guess this is why the cookie ids must be difficult to randomly generate, because a malicious user doesn't have to steal someone's cookie - they could just randomly assign cookie values and start logging in as whichever user happens to be associated with that cookie, if any, right? Scary stuff, I feel like I should at least include the username in the client cookie such that when it presents itself to the server, I won't auto-login unless the username+cookieid match in the DataStore. Any comments would be great, I'm new to this and trying to figure out a best practice. I'm not writing a site which contains any sensitive personal information, but I'd like to minimize any potential for abuse all the same, Thanks

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  • How do you determine an acceptable response time for App Engine DB requests?

    - by qiq
    According to this discussion of Google App Engine on Hacker News, A DB (read) request takes over 100ms on the datastore. That's insane and unusable for about 90% of applications. How do you determine what is an acceptable response time for a DB read request? I have been using App Engine without noticing any issues with DB responsiveness. But, on the other hand, I'm not sure I would even know what to look for in that regard :)

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  • exploratory SPARQL queries?

    - by significance
    whenever i start using sql i tend to throw a couple of exploratory statements at the database in order to understand what is avaliable, and what form the data takes. eg. show tables describe table select * from table could anyone help me understand the way to complete a similar exploration of an rdf datastore using a SPARQL endpoint? Thanks :)

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