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  • How to get to the key name of a referenced entity property from an entity instance without a datastore read in google app engine?

    - by Sumeet Pareek
    Consider I have the following models - class Team(db.Model): # say I have just 5 teams name = db.StringProperty() class Player(db.Model): # say I have thousands of players name = db.StringProperty() team = db.ReferenceProperty(Team, collection_name="player_set") Key name for each Team entity = 'team_' , and for each Player entity = 'player_' By some prior arrangement I have a Team entity's (key_name, name) mapping available to me. For example (team_01, United States Of America), (team_02, Russia) etc I have to show all the players and their teams on a page. One way of doing this would be - players = Player.all().fetch(1000) # This is 1 DB read for player in players: # This will iterate 1000 times self.response.out.write(player.name) # This is obviously not a DB read self.response.out.write(player.team.name) #This is a total of 1x1000 = 1000 DB reads That is a 1001 DB reads for a silly thing. The interesting part is that when I do a db.to_dict() on players, it shows that for every player in that list there is 'name' of the player and there is the 'key_name' of the team available too. So how can I do the below ?? players = Player.all().fetch(1000) # This is 1 DB read for player in players: # This will iterate 1000 times self.response.out.write(player.name) # This is obviously not a DB read self.response.out.write(team_list[player.<SOME WAY OF GETTING TEAM KEY NAME>]) # Here 'team_list' already has (key_name, name) for all 5 teams I have been struggling with this for a long time. Have read every available documentation. I could just hug the person that can help me here :-) Disclaimer: The above problem description is not a real scenario. It is a simplified arrangement that represents my problem exactly. I have run into it in a rater complex and big GAE appication.

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  • What is the best design for these data base tables?

    - by Mohammed Jamal
    I need to find the best solution to make the DB Normalized with large amount of data expected. My site has a Table Tags (contain key word,id) and also 4 types of data related to this tags table like(articles,resources,jobs,...). The big question is:- for the relation with tags what best solution for optimazaion & query speed? make a table for each relation like: table articlesToTags(ArticleID,TagID) table jobsToTags(jobid,tagid) etc. or put it all in one table like table tagsrelation(tagid,itemid,itemtype) I need your help. Please provide me with articles to help me in this design consider that in future the site can conation new section relate to tag Thanks

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  • Google App Engine JDO error could be caused by Serializable object ?

    - by Frank
    I got the following error mesage : java.lang.UnsupportedOperationException org.datanucleus.store.appengine.EntityUtils.getPropertyName(EntityUtils.java:62) org.datanucleus.store.appengine.DatastoreFieldManager.storeObjectField(DatastoreFieldManager.java:839) org.datanucleus.state.AbstractStateManager.providedObjectField(AbstractStateManager.java:1037) PayPal_Monitor.Contact_Info_Entry.jdoProvideField(Contact_Info_Entry.java) PayPal_Monitor.Contact_Info_Entry.jdoProvideFields(Contact_Info_Entry.java) org.datanucleus.state.JDOStateManagerImpl.provideFields(JDOStateManagerImpl.java:2715) Could it be caused by my Contact_Info_Entry.java ? It looks like this : @PersistenceCapable(identityType=IdentityType.APPLICATION) public class Contact_Info_Entry implements Serializable { @PrimaryKey @Persistent(valueStrategy=IdGeneratorStrategy.IDENTITY) Long Id; public static final long serialVersionUID=26362862L; @Persistent String Contact_Id=""; ... }

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  • Stream classes ... design, pattern for creating views over streams

    - by ToxicAvenger
    A question regarding the design of stream classes - I need a pattern to create independent views over a single stream instance (in my case for reading). A view would be a consecutive part of the stream. The problem I have with the stream classes is that the state (reading or writing) is coupled with the underlying data/storage. So if I need to partition a stream into different segments (whether segments overlap or not doesn't matter), I cannot easily create views over the stream, the views would store start and end position. Because reading from a view - which would translate to reading from the underlying stream adjusted based on the start/end positions - would change the state of the underlying stream instance. So what I could do is take a read on a view instance, adjust the Position of the stream, read the chunks I need. But I cannot do that concurrently. Why is it designed in such a way, and what kind of pattern could I implement to create independet views over a single stream instance which would allow to read/write independently (and concurrently)?

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  • How to use Java on Google App Engine without exceeding minute quotas?

    - by Geo
    A very simple java code inside a doGet() servlet is getting more than a second of cpu time on GAE. I have read some quota related documentation and apparently I am not doing anything wrong. //Request the user Agent info String userAgent = req.getHeader("User-Agent"); I wanted to know what was using the CPU the most, I use a google help recommendation. //The two lines below will get the CPU before requesting User-Agent Information QuotaService qs = QuotaServiceFactory.getQuotaService(); long start = qs.getCpuTimeInMegaCycles(); //Request the user Agent info String userAgent = req.getHeader("User-Agent"); //The three lines below will get the CPU after requesting User-Agent Information // and informed it to the application log. long end = qs.getCpuTimeInMegaCycles(); double cpuSeconds = qs.convertMegacyclesToCpuSeconds(end - start); log.warning("CPU Seconds on geting User Agent: " + cpuSeconds); The only thing that the code above tells me is that inspecting the header will use more than a second (1000ms) of cpu time, which for Google is a warning on the log panel. That seems to be a very simple request and still is using more than a second of cpu. What I am missing?

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  • Google App Engine - Document Editor Creation/Tap Into Google Docs?

    - by Josh Patton
    What is the best way to create a custom document editor in GAE? I'm making a website meant for a School Robotics Club (With support for any other organization - DRY). We currently use Google services for online collaboration, I'm wondering if there is a way to tap into Google Docs and allow users to edit a Google Document without using Google Accounts or the Google Doc interface. If that is not possible (I've researched and I don't think it is), what is the best way to make a document editor? I want it completely on the website I'm creating, so I'm assuming just some javascript editor like TinyMCE + Ajax + Datastore. Is their anything that replicates Google Doc's/Microsoft Offices's/OpenOffice.org's feature set as far as fonts, spacing, alignment, justification, etc.?

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  • How can I load a property lazily in JDO (on Google App Engine)?

    - by luciano
    I have this code in one of my @PersistenceCapable classes: @Persistent private Blob data; The Blob can be quite big, so I'd like to load it lazily since most of the times I don't need it. How can I annotate that property to avoid immediate loading? I could create another class that contains the Blob alone and then use a lazy one-to-one, but I'd like to solve this with annotations.

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  • Google App Engine - Is this just a fluke, or could changing the version of an app improve cold-start

    - by Spines
    Here is the situation: I had an app with a cold start time of about 4 seconds. I was trying to improve the cold start time by removing a bunch of libraries and code I didn't really need. After doing that the cold start time was about 3 seconds latency, and 3 seconds CPU time used. I changed the version number in appengine-web.xml, and nothing else. And now I have two versions of my app that have the exact same code, up and running. For cold starts, the newer version uses 1800ms to 1900ms in CPU time, and has 1800ms to 2300ms in latency. For cold starts, the older version uses 2800ms to 3000ms in CPU time, and has 2300ms to 3600ms in latency. So far I have sampled 4 cold starts for each version.

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  • How to use HTTP method DELETE on Google App Engine?

    - by Jader Dias
    I can use this verb in the Python Windows SDK. But not in production. Why? What am I doing wrong? The error message includes (only seen via firebug or fiddler) Malformed request or something like that My code looks like: from google.appengine.ext import db from google.appengine.ext import webapp class Handler(webapp.RequestHandler): def delete(self): key = self.request.get('key') item = db.get(key) item.delete() self.response.out.write(key)

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  • How can I handle multiple views of a data object? Which design pattern is acceptable?

    - by tranquil.byte
    I have a person object. class Person { private $name; ... } I need to be able to change how they are displayed on the front-end ( visitors have control ). They can choose list view, grid view, photo view for example. class PersonDisplay { public function displayList() { // Query database // Output html to display in list mode } public function displayPhoto() { // Query database // Output html to display in photo mode } } Is this an acceptable way to handle the presentation of the items on the front-end or is there a specific design pattern I should be researching to help me with this task? Does anyone have any suggestions or ideas where this could go wrong or if this could potentially make maintenance a nightmare? The Person object was just an example very similiar to what I am using.

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