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  • Is there a way to disable calls to Runtime.checkRestricted on the GAE Java development server under Eclipse?

    - by Thomas Becker
    I'm one of those guys who step through their code a lot during development. Beginning with version 1.6.4 of the GAE Java development server, the server has been instrumented with calls to a function named Runtime.checkRestricted. This causes two inconveniences when I step through my code: 1) Whenever I step into a function, the debugger goes into the function Runtime.checkRestricted (for which there is no source code) at least once, often multiple times. 2) Whenever I step over a function call which has a large call tree underneath it, then it takes a very long time for the debugger to come back. (That's always a problem in the Eclipse Java debugger, but now it's really bad.) For me, all this causes a serious drain on productivity. Is there any way to disable this instrumentation, or to prevent the debugger from stepping into it? I am using Eclipse with the GAE plugin.

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  • Anyone up to creating a tomcat based alternative for GAE?

    - by bach
    Hi, If we had the possibility to run GAE app without any code change on our servlet engine that would be great because: in case that google changes their billing policy we can just jump to our own server or in case their current policy doesn't fit our app needs we can do stuff which is not allowed in the GAE, compromising a 1 JVM, 1 DB We don't actually need a distributed system but more of a realtime system with synchronize, true locking mechanisms, other servers/software installed on the server machine, socket interface etc... Such a package should include at least: TomCat (or equivalent) DataNucleus Access Platform (Task Queue service) Any idea if it's easy to get such a thing or if it's already exist somewhere? Thanks

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  • How the existing data to be if entity structure modified or deleted on GAE?

    - by Eonil
    GAE recommends using JDO/JPA. But I have serious question about using OODB like them. JDO based on user's class structure. And data structure should be modified continually as service advances. So, If data(entity) class property being removed, what happened to existing data on the property? If data(entity) class renamed for refactoring reason, how the JDO know those renaming? Or all data loss? Major point is "How JDO/GAE/BigTable applies modification of class into existing entity structure and data?".

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  • What happens differently when you add a task Asynchronously on GAE?

    - by Ben Grunfeld
    Google's doc on async tasks assumes knowledge of the difference between regular and asynchronously added tasks. add_async(task, transactional=False, rpc=None) Asynchronously add a Task or a list of Tasks to this Queue. How is adding tasks asynchronously different to adding them regularly. I.e. what is the difference between using add(task, transactional=False) and add_async(task, transactional=False, rpc=None) I've heard that adding tasks regularly blocks certain things. Any explanation of what it blocks and how, and how async tasks don't block would be greatly appreciated.

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  • Do you think that GAE alone is enough to justify learning Python over Ruby?

    - by Cue
    Considering the fact that you don't have to get involved in setting up/buying a server or even buying a domain, do you think that fact alone is enough to choose one over the other? I don't necessarily want to work on Google App Engine, I just find it convenient when it comes to hosting/environment/etc. and wondering if that's a good enough reason to learn python. In any case, I'm not looking for a debate between python and ruby but more on Google App Engine and whether its value is enough to dictate the language you should learn.

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  • Make two servers talk to each other

    - by Maksim
    I have application written in GWT and hosted on Google AppEngine/Java. In this application user will have an option to upload video/audio/text file to the server. Those files could be big, up to 1gb or so and because GAE/J does not support large file I have to use another server to store those files. This would be easy to implement if there was no cross-domain security feature in browsers. So, what I'm thinking is to make GAE Server talk to my server (Glassfish or any other java servers if needed) to tell url to the file and if possible send status of uploaded file (how many percent was uploaded) so I can show status on clients screen. Here is what I'm thinking to do. When user loads GWT page that is stored on GAE/J he/she will upload file to my server, then my server will send response back to GAE and GAE will send response to the client. If this scenario is possible what would be the best way to implement GAE to Glassfish conversation?

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  • Java ORM related question - SQL Vs Google DB (Big Table?) GAE

    - by StackerFlow
    I was wondering about the following two options when one is not using SQL tables but ORM based DBs (Example - when you are using GAE) Would the second option be less efficient? Requirement: There is an object. The object has a collection of similar items. I need to store this object. Example, say the object is a tree and it has a collection of leaves. Option 1: Traditional SQL type structure: Table for the Tree (with TreeId as the identifier for a row in the Table.) Table for the Leaves (where each leaf has a TreeId and to show the leaves of a tree, I query all leaves where the TreeId is the Id of the tree.) Here, the Tree structure DOES NOT have a field with leaves. Option 2: ORM / GAE Tables: Using the same example above, I have an object for Tree where the object has a collection (Set/List in Java/C++) of leaves. I store and retrieve the Tree together with the leaves (as the leaves are implemented as a Set in the Tree object) My question is, will the second one be less efficient that the first option? If so, why? Are there other alternatives? Thank you!

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  • How to best design a date/geographic proximity query on GAE?

    - by Dane
    Hi all, I'm building a directory for finding athletic tournaments on GAE with web2py and a Flex front end. The user selects a location, a radius, and a maximum date from a set of choices. I have a basic version of this query implemented, but it's inefficient and slow. One way I know I can improve it is by condensing the many individual queries I'm using to assemble the objects into bulk queries. I just learned that was possible. But I'm also thinking about a more extensive redesign that utilizes memcache. The main problem is that I can't query the datastore by location because GAE won't allow multiple numerical comparison statements (<,<=,=,) in one query. I'm already using one for date, and I'd need TWO to check both latitude and longitude, so it's a no go. Currently, my algorithm looks like this: 1.) Query by date and select 2.) Use destination function from geopy's distance module to find the max and min latitude and longitudes for supplied distance 3.) Loop through results and remove all with lat/lng outside max/min 4.) Loop through again and use distance function to check exact distance, because step 2 will include some areas outside the radius. Remove results outside supplied distance (is this 2/3/4 combination inefficent?) 5.) Assemble many-to-many lists and attach to objects (this is where I need to switch to bulk operations) 6.) Return to client Here's my plan for using memcache.. let me know if I'm way out in left field on this as I have no prior experience with memcache or server caching in general. -Keep a list in the cache filled with "geo objects" that represent all my data. These have five properties: latitude, longitude, event_id, event_type (in anticipation of expanding beyond tournaments), and start_date. This list will be sorted by date. -Also keep a dict of pointers in the cache which represent the start and end indices in the cache for all the date ranges my app uses (next week, 2 weeks, month, 3 months, 6 months, year, 2 years). -Have a scheduled task that updates the pointers daily at 12am. -Add new inserts to the cache as well as the datastore; update pointers. Using this design, the algorithm would now look like: 1.) Use pointers to slice off appropriate chunk of list based on supplied date. 2-4.) Same as above algorithm, except with geo objects 5.) Use bulk operation to select full tournaments using remaining geo objects' event_ids 6.) Assemble many-to-manys 7.) Return to client Thoughts on this approach? Many thanks for reading and any advice you can give. -Dane

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  • Django and Google App Engine Helper not finding the ipaddr module.

    - by Phil
    I'm trying to get Django running on GAE using this tutorial. When I run python manage.py runserver I get the stacktrace below. I'm new to both django and python so I don't know what my next steps are (This is Ubuntu Jaunty btw). It seems django isn't finding the GAE module ipaddr which comes with SDK 1.3.1. How do I get django to find this module? /home/username/bin/google_appengine/google/appengine/api/datastore_file_stub.py:40: DeprecationWarning: the md5 module is deprecated; use hashlib instead import md5 /home/username/bin/google_appengine/google/appengine/api/memcache/__init__.py:31: DeprecationWarning: the sha module is deprecated; use the hashlib module instead import sha Traceback (most recent call last): File "manage.py", line 18, in <module> InstallAppengineHelperForDjango() File "/home/username/Development/GAE/myapp/appengine_django/__init__.py", line 543, in InstallAppengineHelperForDjango InstallDjangoModuleReplacements() File "/home/username/Development/GAE/myapp/appengine_django/__init__.py", line 260, in InstallDjangoModuleReplacements import django.db File "/home/username/Development/GAE/myapp/django/db/__init__.py", line 57, in <module> 'TIME_ZONE': settings.TIME_ZONE, File "/home/username/Development/GAE/myapp/appengine_django/db/base.py", line 117, in __init__ self._setup_stubs() File "/home/username/Development/GAE/myapp/appengine_django/db/base.py", line 128, in _setup_stubs from google.appengine.tools import dev_appserver_main File "/home/username/bin/google_appengine/google/appengine/tools/dev_appserver_main.py", line 82, in <module> from google.appengine.tools import appcfg File "/home/username/bin/google_appengine/google/appengine/tools/appcfg.py", line 53, in <module> from google.appengine.api import dosinfo File "/home/username/bin/google_appengine/google/appengine/api/dosinfo.py", line 25, in <module> import ipaddr ImportError: No module named ipaddr

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  • Where should I go with hosting my site: VPS, GAE, another option?

    - by Jonathan Hayward
    My website, http://JonathansCorner.com/, began life before 1994 as www.imsa.edu/~jhayward/ and has been through various iterations and improvements to content, HTML, and the like, but remains a literature site that is from a web administrator's perspective fairly simple and primitive: a fair amount of static HTML and supporting files, a little bit of CGI and URI rewriting, .htaccess files providing Expires: headers and the like. An associated site demoes various CGI scripts that fall under the category of "and other creations"; the site as a whole has the purpose of sharing my creative works, and so far a fairly rudimentary use of Apache functionality, supported by Unix tools to, for instance, update RSS feed and the "starting point" link on the home page, has served that purpose fairly well. I looked around here on web hosting, and found the note on web host reccommendations as a good note for "What are some of people's favorite web hosts overall," but I wanted to ask a more focused question of "What are the best web hosts for criteria XYZ:" I am looking at a VPS so I will have root, be able to install stuff and edit Apache's config files etc., running Gentoo or other Linux, BSD, or the like. I would like a system that is secure enough that the host's vulnerabilities are mostly the ones that come along with what I am trying to do: that is, I won't be trying to administer and secure an ancient Linux like some have complained about at 1and1. I would like good uptime/reliability and competent support staff: if the level 1 help desk is going to tell me to go to "My Computer" on a Linux box, I'd like to be able to get past them. Ideally I would like a site hosted within some place that will have low latency for U.S. visitors in particular. I would like a hosting solution that will be with a stable business, one that will probably be around, and one unlikely to vanish without warning. With those things specified, I would be interested in knowing what are the less expensive options. (I expect that some of the things I've specified will knock out all of the cheapest options, but I'm still interested in price.) With all that stated, I'd like to back up a bit and look at whether I am asking the right question. I am concerned that the above is a very good way of asking, "How can I keep my site in line with the wave of the past?" I am wondering if it might be specifically wiser to look to adapt my site to newer technologies instead of trying to keep it on older technologies. For instance, while I would hardly portray my site as a way to show off the full power of Google App Engine, the main site at least should be a straightforward port if I were to do that. And beyond Google App Engine, my knowledge of cloud solutions is basic. If it is a better and more future-proof solution to port my site to another kind of solution, I would be interested in knowing where those future-proof solutions lie. So I would be interested in wisdom. If the question I asked in detail is still a good question to be asking, what would people suggest? Or if I should seriously consider porting my site to a newer basic option, what should I try there? Any thoughts would be appreciated.

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  • iPhone SDK / Core Data usage scenario, similar to GAE data store?

    - by boliva
    Hi all, I am currently rewriting a map based App which I wrote in the past, specifically for 2.2.1 devices. Originally I wrote it to make use of SQLite databases but I would like to try and migrate it over Core Data, now that it's available on 3.X (for which I am rewriting to). I am fairly experienced in iPhone/Obj-C development, SQL and server backend technologies, but I have never had the chance to work with Core Data so IDK really if it's the appropiate tool for what I am trying to accomplish. The App works on a limited area in a map over which there are about 4000 placemarks, with different kinds of icons and sizes. Of course not all 4000 placemarks are shown at once but only those currently visible in the map viewport, and depending on the zoom level. What I am doing right now is, after the user moves the map in any way (panning or zooming) I am requesting from the backend server the required information for the placemarks that would be visible given the viewport coordinates boundaries and zoom level, however the process isn't as smooth as I'd like (the backend is sending its response in XML and I am compressing it using gzip), it takes anywhere from 1 to 3 seconds to update the display of the placemarks after the user ends moving the map. What I would like to do is to prefetch all the placemarks data at the App launch and use it all through the app life time - I don't mind storing it for later use because the data should be dynamic. The way I would do it right now is, after retrieving all the data, to store it on an SQLite db which I would query later, whenever the user moves the map, to return only the placemarks inside the viewport coordinate boundaries and specific to a given zoom level. Now, the question itself is, if is it possible to use some more 'native', object driven way to carry this queries process, which got me thinking about Core Data and if it is in any way similar to what Google App Engine offers through its datastore where you can fetch a number of objects from the backend given a certain query or criteria, without resorting to an SQL query itself. Like I said before I don't have any experience on Core Data but I have a pretty deep understanding of Obj-C and iPhone development, as well as SQL databases. Any guides on how to achieve what I'm trying (if possible at all) would be greatly appreciated.

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  • gae error : Error: Server Error, how to debut it .

    - by zjm1126
    when i upload my project to google-app-engine , it show this : Error: Server Error The server encountered an error and could not complete your request. If the problem persists, please report your problem and mention this error message and the query that caused it. why ? how can i debug this error ? thanks

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  • has any tools easy to download or uploaed data from gae ..

    - by zjm1126
    i find this: http://aralbalkan.com/1784 but it is : Gaebar is an easy-to-use, standalone Django application that you can plug in to your existing Google App Engine Django or app-engine-patch-based Django applications on Google App Engine to give them datastore backup and restore functionality. my app is not based on django,so did you know any tools esay to do this . thanks

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