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  • Google I/O 2010 - Testing techniques for Google App Engine

    Google I/O 2010 - Testing techniques for Google App Engine Google I/O 2010 - Testing techniques for Google App Engine App Engine 201 Max Ross We typically write tests assuming that our development stack closely resembles our production stack. What if our target environment only lives in the cloud? We will highlight the key differences between typical testing techniques and Google App Engine testing techniques. We will also present concrete strategies for testing against local and cloud-based implementations of App Engine services. Finally, we will explain how to use App Engine as a highly parallel test harness that runs existing test suites without modification. For all I/O 2010 sessions, please go to code.google.com/events/io/2010/sessions.html From: GoogleDevelopers Views: 6 1 ratings Time: 54:29 More in Science & Technology

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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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  • What different ways are there to model restitution in a physics engine?

    - by Mikael Högström
    In my physics engine I give a body a value for restitution between 0 and 1. When two bodies collide there seems to be different views on how the restitution of the collision should be calculated. To me the most intuitive seems to be to take the average of the two but some seem to take only the largest one. Are there other ways to do it? Also, could the closing velocity or some other parameter come into effect?

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  • MVC in a Google App Engine Java world

    - by thatismatt
    I'm coming to Java from C# & ASP.NET MVC, I'd love to find an equivalent in the Java world that I could use on the Google App Engine. I've already started to have a play with FreeMarker and even made the first steps towards writing a very simple framework. Ideally I wouldn't have to do all the hard work though, someone must have done this already! So my question is - what frameworks are there out there that would be familiar for me coming from ASP.NET MVC and I could use them on Google App Engine for Java. The key things I'd want are: Simple Routing - /products/view/1 gets mapped to the view action of the products controller with the productid of 1 Template Engine - some way of easily passing 'ViewData' to the view, and from the view easily accessing it, ideally I'd love to avoid anything that is too XMLy (thus why I like FreeMarker).

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  • 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?

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  • 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?

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  • Google App Engine - Help with running python shell comands from aptanna studio

    - by spidee
    Hi I'm somewhat of a newbie to python and I'm using app engine and aptanna studio - I need to run some python shell commands so that i can complete the tasks in this Tutorial on how to set up 118 and django. I have got this all working but i don't understand how i run the python commands to compile the dictionarys such as $ PYTHONPATH=/path/to/googleappengine/python/lib/django/ /path/to/googleappengine/python/lib/django/django/bin/make-messages.py -a To be honest - why am i saying that! I dont know where in aptanna studio i run this command -then worse I don't quite understand what exactly i type based on the above command line. My path to google app engine is D:\Program Files\Google\google_appengine\ Can anyone help shed some light on how i do this from aptanna / the root of my project?? Im following this Tutorial: http://makeyjl.blogspot.com/2009/02/using-djangos-i18n-in-google-app-engine.html

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  • Google app engine or Amazin ec2 for Restful services and direct access to datastore

    - by imran
    I'm thinking of building a Restful app on either App engine or ec2 devloped in Java. I'm interested in opinions/experience of using the two options for this. The primary purpose is to create web services to write and retrieve data through a mobile device...basically creating an API for the service I want to create. It seems to me it would be quicker and cheaper in the beginning to go with google app engine using either restlet or grails.But I also think that I could run into problems in the future when I want to so somthing more advanced and might be restricted by app engines environment. I also want to be able to do data analysis on the data in the datastore as well. It seems that with app engine this would be hard as I don't have direct access to the datastore ( in Amazon I could still have access to the underlying db if I go with MySQL ) .

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  • using crypto++ on iphone sdk with pycrypto on app engine

    - by Joey
    Hi, I'm trying to encrypt http requests using crypto++ and decrypt them with pycrypto on the app engine server end. Using Arc4 encryption, I can successfully encrypt and decrypt on the iphone end but when I try decrypting on app engine, the result is garbled. I thought maybe it has something to do with the encoding of the NSString but am not certain. It's not clear to me if I need to call encode() on the cipher on the server end before decrypting, although that does seem to resolve a failure to decrypt involving ascii values. I have a separate post that delves a bit into this. Can anyone offer some advice? http://stackoverflow.com/questions/2794942/crypto-pycrypto-with-google-app-engine

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  • Massive Crawling requests from Google Apps Engine useragent

    - by SilentPlayer
    Hi friends, I'm badly affected with 'Google AppEngine-Google' UserAgent.. receiving 5/6 requests per second on http server. This bot is crawling my site just like GoogleBot does. Following is the sample of url in my access logs. 72.14.192.3 - - [19/May/2010:01:27:06 +0000] "GET /some-url/etc-123.htm HTTP/1.1" 200 4707 "-" "AppEngine-Google; (+http://code.google.com/appengine; appid: harpy000)" I have checked the ip address it is registered with Google Inc. Can anyone tell me where i can report Abuse to Google Inc. Or any information about this issue. Thank you!

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  • google search engine

    - by kourosh
    I am working on a google box, something like this, http://mytwentyfive.com/blog/wp-content/uploads/byme/Google%20Search%20Appliances.jpg I am pointing the crawler to a folder where there are html files. before the crawler was crawling the files and indexing them but right now it finds the pattern or the folder but not following any html files within the folder. I have tried everything I could and know but, can't think of anything else. Can someone help? thanks

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  • search engine (bing) lost my www

    - by Jason
    I just found that my site in the result of bing was broken, casue bing display wrong domain name: my site domain name: www.mysite.com; bing list my site domain name : mysite.com How can i ask bing to change it to the right one? Another search engines list it correctly.

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  • 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.

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  • 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?

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  • How to tell if SPARC T4 crypto is being used?

    - by danx
    A question that often comes up when running applications on SPARC T4 systems is "How can I tell if hardware crypto accleration is being used?" To review, the SPARC T4 processor includes a crypto unit that supports several crypto instructions. For hardware crypto these include 11 AES instructions, 4 xmul* instructions (for AES GCM carryless multiply), mont for Montgomery multiply (optimizes RSA and DSA), and 5 des_* instructions (for DES3). For hardware hash algorithm optimization, the T4 has the md5, sha1, sha256, and sha512 instructions (the last two are used for SHA-224 an SHA-384). First off, it's easy to tell if the processor T4 crypto instructions—use the isainfo -v command and look for "sparcv9" and "aes" (and other hash and crypto algorithms) in the output: $ isainfo -v 64-bit sparcv9 applications crc32c cbcond pause mont mpmul sha512 sha256 sha1 md5 camellia kasumi des aes ima hpc vis3 fmaf asi_blk_init vis2 vis popc These instructions are not-privileged, so are available for direct use in user-level applications and libraries (such as OpenSSL). Here is the "openssl speed -evp" command shown with the built-in t4 engine and with the pkcs11 engine. Both run the T4 AES instructions, but the t4 engine is faster than the pkcs11 engine because it has less overhead (especially for smaller packet sizes): t-4 $ /usr/bin/openssl version OpenSSL 1.0.0j 10 May 2012 t-4 $ /usr/bin/openssl engine (t4) SPARC T4 engine support (dynamic) Dynamic engine loading support (pkcs11) PKCS #11 engine support t-4 $ /usr/bin/openssl speed -evp aes-128-cbc # t4 engine used by default . . . The 'numbers' are in 1000s of bytes per second processed. type 16 bytes 64 bytes 256 bytes 1024 bytes 8192 bytes aes-128-cbc 487777.10k 816822.21k 986012.59k 1017029.97k 1053543.08k t-4 $ /usr/bin/openssl speed -engine pkcs11 -evp aes-128-cbc engine "pkcs11" set. . . . The 'numbers' are in 1000s of bytes per second processed. type 16 bytes 64 bytes 256 bytes 1024 bytes 8192 bytes aes-128-cbc 31703.58k 116636.39k 350672.81k 696170.50k 993599.49k Note: The "-evp" flag indicates use the OpenSSL "EnVeloPe" API, which gives more accurate results. That's because it tells OpenSSL to use the same API that external programs use when calling OpenSSL libcrypto functions, evp(3openssl). DTrace Shows if T4 Crypto Functions Are Used OK, good enough, the isainfo(1) command shows the instructions are present, but how does one know if they are being used? Chi-Chang Lin, who works on Oracle Solaris performance, wrote a Dtrace script to show if T4 instructions are being executed. To show the T4 instructions are being used, run the following Dtrace script. Look for functions named "t4" and "yf" in the output. The OpenSSL T4 engine uses functions named "t4" and the PKCS#11 engine uses functions named "yf". To demonstrate, I'll first run "openssl speed" with the built-in t4 engine then with the pkcs11 engine. The performance numbers are not valid due to dtrace probes slowing things down. t-4 # dtrace -Z -n ' pid$target::*yf*:entry,pid$target::*t4_*:entry{ @[probemod, probefunc] = count();}' \ -c "/usr/bin/openssl speed -evp aes-128-cbc" dtrace: description 'pid$target::*yf*:entry' matched 101 probes . . . dtrace: pid 2029 has exited libcrypto.so.1.0.0 ENGINE_load_t4 1 libcrypto.so.1.0.0 t4_DH 1 libcrypto.so.1.0.0 t4_DSA 1 libcrypto.so.1.0.0 t4_RSA 1 libcrypto.so.1.0.0 t4_destroy 1 libcrypto.so.1.0.0 t4_free_aes_ctr_NIDs 1 libcrypto.so.1.0.0 t4_init 1 libcrypto.so.1.0.0 t4_add_NID 3 libcrypto.so.1.0.0 t4_aes_expand128 5 libcrypto.so.1.0.0 t4_cipher_init_aes 5 libcrypto.so.1.0.0 t4_get_all_ciphers 6 libcrypto.so.1.0.0 t4_get_all_digests 59 libcrypto.so.1.0.0 t4_digest_final_sha1 65 libcrypto.so.1.0.0 t4_digest_init_sha1 65 libcrypto.so.1.0.0 t4_sha1_multiblock 126 libcrypto.so.1.0.0 t4_digest_update_sha1 261 libcrypto.so.1.0.0 t4_aes128_cbc_encrypt 1432979 libcrypto.so.1.0.0 t4_aes128_load_keys_for_encrypt 1432979 libcrypto.so.1.0.0 t4_cipher_do_aes_128_cbc 1432979 t-4 # dtrace -Z -n 'pid$target::*yf*:entry{ @[probemod, probefunc] = count();}   pid$target::*yf*:entry,pid$target::*t4_*:entry{ @[probemod, probefunc] = count();}' \ -c "/usr/bin/openssl speed -engine pkcs11 -evp aes-128-cbc" dtrace: description 'pid$target::*yf*:entry' matched 101 probes engine "pkcs11" set. . . . dtrace: pid 2033 has exited libcrypto.so.1.0.0 ENGINE_load_t4 1 libcrypto.so.1.0.0 t4_DH 1 libcrypto.so.1.0.0 t4_DSA 1 libcrypto.so.1.0.0 t4_RSA 1 libcrypto.so.1.0.0 t4_destroy 1 libcrypto.so.1.0.0 t4_free_aes_ctr_NIDs 1 libcrypto.so.1.0.0 t4_get_all_ciphers 1 libcrypto.so.1.0.0 t4_get_all_digests 1 libsoftcrypto.so.1 rijndael_key_setup_enc_yf 1 libsoftcrypto.so.1 yf_aes_expand128 1 libcrypto.so.1.0.0 t4_add_NID 3 libsoftcrypto.so.1 yf_aes128_cbc_encrypt 1542330 libsoftcrypto.so.1 yf_aes128_load_keys_for_encrypt 1542330 So, as shown above the OpenSSL built-in t4 engine executes t4_* functions (which are hand-coded assembly executing the T4 AES instructions) and the OpenSSL pkcs11 engine executes *yf* functions. Programmatic Use of OpenSSL T4 engine The OpenSSL t4 engine is used automatically with the /usr/bin/openssl command line. Chi-Chang Lin also points out that if you're calling the OpenSSL API (libcrypto.so) from a program, you must call ENGINE_load_built_engines(), otherwise the built-in t4 engine will not be loaded. You do not call ENGINE_set_default(). That's because "openssl speed -evp" test calls ENGINE_load_built_engines() even though the "-engine" option wasn't specified. OpenSSL T4 engine Availability The OpenSSL t4 engine is available with Solaris 11 and 11.1. For Solaris 10 08/11 (U10), you need to use the OpenSSL pkcs311 engine. The OpenSSL t4 engine is distributed only with the version of OpenSSL distributed with Solaris (and not third-party or self-compiled versions of OpenSSL). The OpenSSL engine implements the AES cipher for Solaris 11, released 11/2011. For Solaris 11.1, released 11/2012, the OpenSSL engine adds optimization for the MD5, SHA-1, and SHA-2 hash algorithms, and DES-3. Although the T4 processor has Camillia and Kasumi block cipher instructions, these are not implemented in the OpenSSL T4 engine. The following charts may help view availability of optimizations. The first chart shows what's available with Solaris CLIs and APIs, the second chart shows what's available in Solaris OpenSSL. Native Solaris Optimization for SPARC T4 This table is shows Solaris native CLI and API support. As such, they are all available with the OpenSSL pkcs11 engine. CLIs: "openssl -engine pkcs11", encrypt(1), decrypt(1), mac(1), digest(1), MD5sum(1), SHA1sum(1), SHA224sum(1), SHA256sum(1), SHA384sum(1), SHA512sum(1) APIs: PKCS#11 library libpkcs11(3LIB) (incluDES Openssl pkcs11 engine), libMD(3LIB), and Solaris kernel modules AlgorithmSolaris 1008/11 (U10)Solaris 11Solaris 11.1 AES-ECB, AES-CBC, AES-CTR, AES-CBC AES-CFB128 XXX DES3-ECB, DES3-CBC, DES2-ECB, DES2-CBC, DES-ECB, DES-CBC XXX bignum Montgomery multiply (RSA, DSA) XXX MD5, SHA-1, SHA-256, SHA-384, SHA-512 XXX SHA-224 X ARCFOUR (RC4) X Solaris OpenSSL T4 Engine Optimization This table is for the Solaris OpenSSL built-in t4 engine. Algorithms listed above are also available through the OpenSSL pkcs11 engine. CLI: openssl(1openssl) APIs: openssl(5), engine(3openssl), evp(3openssl), libcrypto crypto(3openssl) AlgorithmSolaris 11Solaris 11SRU2Solaris 11.1 AES-ECB, AES-CBC, AES-CTR, AES-CBC AES-CFB128 XXX DES3-ECB, DES3-CBC, DES-ECB, DES-CBC X bignum Montgomery multiply (RSA, DSA) X MD5, SHA-1, SHA-256, SHA-384, SHA-512 XX SHA-224 X Source Code Availability Solaris Most of the T4 assembly code that called the new T4 crypto instructions was written by Ferenc Rákóczi of the Solaris Security group, with assistance from others. You can download the Solaris source for this and other parts of Solaris as a few zip files at the Oracle Download website. The relevant source files are generally under directories usr/src/common/crypto/{aes,arcfour,des,md5,modes,sha1,sha2}}/sun4v/. and usr/src/common/bignum/sun4v/. Solaris 11 binary is available from the Oracle Solaris 11 download website. OpenSSL t4 engine The source for the OpenSSL t4 engine, which is based on the Solaris source above, is viewable through the OpenGrok source code browser in directory src/components/openssl/openssl-1.0.0/engines/t4 . You can download the source from the same website or through Mercurial source code management, hg(1). Conclusion Oracle Solaris with SPARC T4 provides a rich set of accelerated cryptographic and hash algorithms. Using the latest update, Solaris 11.1, provides the best set of optimized algorithms, but alternatives are often available, sometimes slightly slower, for releases back to Solaris 10 08/11 (U10). Reference See also these earlier blogs. SPARC T4 OpenSSL Engine by myself, Dan Anderson (2011), discusses the Openssl T4 engine and reviews the SPARC T4 processor for the Solaris 11 release. Exciting Crypto Advances with the T4 processor and Oracle Solaris 11 by Valerie Fenwick (2011) discusses crypto algorithms that were optimized for the T4 processor with the Solaris 11 FCS (11/11) and Solaris 10 08/11 (U10) release. T4 Crypto Cheat Sheet by Stefan Hinker (2012) discusses how to make T4 crypto optimization available to various consumers (such as SSH, Java, OpenSSL, Apache, etc.) High Performance Security For Oracle Database and Fusion Middleware Applications using SPARC T4 (PDF, 2012) discusses SPARC T4 and its usage to optimize application security. Configuring Oracle iPlanet WebServer / Oracle Traffic Director to use crypto accelerators on T4-1 servers by Meena Vyas (2012)

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  • Using Unreal 3 Engine within a .NET application

    - by bitbonk
    Now that the Unreal Development Kit for Unreal 3 engine is free I am thinking about utilizing it for an appication. Do you think it is possible to emebedd a Unreal 3 powered 3D window into a .NET (WPF or Windows Forms) and control parts of the gameobjects therein using c#? Is the engine plain c++? Or COM or is there a .NET wrapper or something?

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  • HttpOnly cookies on google app engine java

    - by Spines
    Anyone know how I can use httponly cookies for sessions and cookies on the app engine? In the javadoc for the Cookie class, http://java.sun.com/javaee/6/docs/api/javax/servlet/http/Cookie.html#setHttpOnly(boolean) , there is a setHttpOnly method. I get a compiler error when trying to use it when developing for app engine though. The method was introduced in the Servlet 3.0 spec, so its pretty new.

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  • What does this term "w/ App Engine" mean?

    - by brilliant
    Hello, I received an answer to one of my questions here. The answerer said: "However if you intend to use it w/ App Engine keep in my mind that using Google IP will almost surely result w/ Captcha challenge. Also Yahoo might block your User-Agent that is being set permanently by Google." I don't understand what "w/" means in "w/ App Engine" and in "w/ Captcha challenge"

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  • Best deployment strategy for Python google app engine

    - by sushant
    I wonder if there are any best practices/patterns for deploying python apps on Google app engine specifically Django. The best practice should be combination of existing best practices viz. Fabric, Paver, Buildout etc. Also please share best practice patterns for developing (I could not get virtualenv running with Django and Django App engine helper)

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  • OSGI on google app engine?

    - by Patrick Cornelissen
    I am evaluating several technologies for an open source app for the google app engine. I'm searching for information regarding OSGI on googles app engine. I have found Lemmon but it seems to be a dead project. The last checkin was in mid 2009... :-/ There is also a eclipse blog entry from april 2009, but it's not a real success story. Has anyone successfully used OSGI in a GAE app?

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  • Netbeans Profiler failing for Google App Engine App

    - by Spines
    When I try to run the netbeans profiler on my app engine project it says: runserver-profile: [java] Error occurred during initialization of VM [java] Could not find agent library in absolute path: C:\Program BUILD FAILED Target "Files\NetBeans" does not exist in the project I'm not sure if this is because its an app engine project or if its something else. Anyone have any idea how to fix this?

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  • Group Chat XMPP with Google App Engine

    - by David Shellabarger
    Google App Engine has a great XMPP service built in. One of the few limitations it has is that it doesn't support receiving messages from a group chat. That's the one thing I want to do with it. :( Can I run a 3rd party XMPP/Jabber server on App Engine that supports group chat? If so, which one?

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