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'm guessing your tests were run locally because the counter in the local datastore does indeed have datastore scope.  The scope of the counter in the prod datastore, however, is parent key + kind.  This is described here: http://code.google.com/appengine/docs/java/datastore/creatinggettinga... If it's important to you that the scope of the generated ids match between dev and and prod please file an issue.

                StringBuffer sb = new StringBuffer();                 KeyRange range = ds.allocateIds("a", 2);                 for (Key key : range) {                         sb.append("\n a " + key.toString());                 }                 range = ds.allocateIds("b", 2);                 for (Key key : range) {                         sb.append("\n b " + key.toString());                 }                 Key parentKey = KeyFactory.createKey("c", 1);                 sb.append("\n c " + parentKey.toString());                 range = ds.allocateIds(parentKey, "d", 2);                 for (Key key : range) {                         sb.append("\n d " + key.toString());                 }                 System.out.println(sb.toString());

The URL I posted earlier in the thread explains it, but here's a little bit more detail: A parent entity plus a kind defines an id-space, so entities with the same parent and the same kind are guaranteed to have unique ids.  For example, if you have an Entity with Parent:A Kind: Person Id: 10 you are guaranteed that no other entity with Parent A and Kind Person will be assigned an Id of 10.  However, an entity with a different Parent and Kind Person or an entity with Parent A and a different Kind _can_ be assigned an Id of 10.  The datastore pre-allocates batches of ids across multiple servers under-the-hood, so you can't make any assumptions about the Id that will get assigned in terms of contiguousness.  The only safe assumption is that the id will be unique for that Parent/Kind combination.

If using the datastore API directly, a common pattern of usage is: // Get a handle on the datastore itself DatastoreService datastore = DatastoreServiceFactory.getDatastoreService(); // Lookup data by known key name Entity userEntity = datastore.get(KeyFactory.createKey("UserInfo", email)); // Or perform a query Query query = new Query("Task", userEntity); query.addFilter("dueDate", Query.FilterOperator.LESS_THAN, today); for (Entity taskEntity : datastore.prepare(query).asIterable()) { if ("done".equals(taskEntity.getProperty("status"))) { datastore.delete(taskEntity); } else { taskEntity.setProperty("status", "overdue"); datastore.put(taskEntity); } }

class DeleteFull():     def execute(self):         deleting = model_class_name.all().order('__key__').fetch(100)         while deleting:             a = []             key = deleting[-1].key()             for item in deleting:                 a.append(item)             db.delete(a)             deleting = model_class_name.all().filter('__key__ >', key).order('__key__').fetch(100) This purged everything, but it took a hell of a long time.

you could leverage Entity's getProperties() method, in combination with JSON-lib's groovy-friendliness and ability to serialize maps as JSON. So, say you have an Entity: def person = new Entity("person") person.name = "Guillaume Laforge" def jsonString = person.properties as JSONObject Have a look at JSON-lib and the Entity JavaDoc. And I think it'll solve your problem pretty neatly!

protocol

ublic void doGet(HttpServletRequest req, HttpServletResponse resp)     throws IOException {    resp.setContentType("text/plain");    final DatastoreService datastore = DatastoreServiceFactory.getDatastoreService();    final Query query = new Query("Table/Entity Name");    //query.addSort(Entity.KEY_RESERVED_PROPERTY, Query.SortDirection.DESCENDING);    for (final Entity entity : datastore.prepare(query).asIterable()) {        resp.getWriter().println(entity.getKey().toString());        final Map<String, Object> properties = entity.getProperties();        final String[] propertyNames = properties.keySet().toArray(            new String[properties.size()]);        for(final String propertyName : propertyNames) {            resp.getWriter().println("-> " + propertyName + ": " + entity.getProperty(propertyName));        }    }}

 * Implements background tasks for * <a href="http://code.google.com/appengine/docs/java/overview.html">Google App * Engine for Java</a>, based on the * <a href="http://code.google.com/appengine/articles/deferred.html">Python 'deferred' * library</a>; simplifies use of the <a href="http://code.google.com/appengine/docs/java/taskqueue/overview.html"> * Task Queue Java API</a> by automatically handling the serialization and * deserializtion of complex task arguments.

You should never store a password in plain text. Use a ir-reversable data hashing algorithm, like sha or md5 Here is how you can create a hash in python: from hashlib import sha256from random import randomrandom_key = random()sha256('%s%s%s'%('YOUR SECRET KEY',random_key,password)) You should also store the random key and hash the user supplied password similarly.

I have an Entity with an id type of Long, and the id gets filled in after I call makePersistent(). Here is what the code looks like:     GameEntity game = new GameEntity();    log.warning("before makePersistent id is " + game.getId());    pm.makePersistent(game);    log.warning("after makePersistent id is " + game.getId()); Here is a snippet of the GameEntity class: @PersistenceCapable(identityType = IdentityType.APPLICATION)public class GameEntity {    @PrimaryKey    @Persistent(valueStrategy = IdGeneratorStrategy.IDENTITY)    private Long id; And the output shows what you'd expect: WARNING 6428 - before makePersistent id is nullWARNING 6444 - after makePersistent id is 6 UPDATE: It occurred to me belatedly that you might want an actual Key object. You can create that yourself if you have the id: public Key getKey() {    return KeyFactory.createKey(GameEntity.class.getSimpleName(), id);}