app-engine-ndb

I'm trying to process large (~50mb) sized xml files to store in the datastore. I've tried using backends, sockets (to pull the file via urlfetch), and even straight up uploading the file within my source code, but again keep running into limits (i.e. the 32 mb limit). So, I'm really confused (and a little angry/frustrated). Does appengine really have no real way to process a large file? There does seem to be one potential work around, which would involve remote_apis, amazon (or google compute I guess) and a security/setup nightmare... Http ranges was another thing I considered, but it'll be

Here is my ndb Model from google.appengine.ext import ndb from mainsite.rainbow.models.CFCSocialUser import CFCSocialUser class CFCSocialGroup(ndb.Model): def remove_duplicate(self, value): raise Exception("Duplicate user detected") name = ndb.StringProperty(required=True) created_on = ndb.DateTimeProperty(auto_now_add=True) updated_on = ndb.DateTimeProperty(auto_now=True) created_by = ndb.StructuredProperty(CFCSocialUser) members = ndb.StructuredProperty(CFCSocialUser, repeated=True, validator=remove_duplicate) @staticmethod def create_group(name): """Create a new group""" group =

What is the difference between these queries: With consequent filters: qry1 = Account.query() # Retrieve all Account entitites qry2 = qry1.filter(Account.userid >= 40) # Filter on userid >= 40 qry3 = qry2.filter(Account.userid < 50) # Filter on userid < 50 as well Using ndb.OR: qry = Article.query(ndb.OR(Account.userid >= 40, Account.userid < 50)) Using ndb.AND: qry = Article.query(ndb.AND(Account.userid >= 40, Account.userid < 50)) The first query does an AND. Thus, only the entities that match both inequalities will be returned by the query. The second query does an OR. Thus, entities that

Closed . This question needs details or clarity . It is not currently accepting answers. Want to improve this question? Add details and clarify the problem by editing this post . Closed 4 years ago . I have seen the solution to this question using App Engine's older DB Datastore API , but cannot find a solution while using the newer NDB API. What is the best way to add migration support, so that I am able to migrate from an old version of a schema to a new version. Would it be best to write a migration script , and how would this work? Something like migrating a schema like this in (Note that

From NDB Caching : NDB manages caches for you. There are two caching levels: an in-context cache and a gateway to App Engine's standard caching service, memcache. Both caches are enabled by default for all entity types, but can be configured to suit advanced needs. My app doesn't make any ndb caching configuration change, so it must be using the defaults - both caching levels enabled. I'm running some tests on my staging environment (a separate, dedicated GAE project) where I can totally isolate sequences of activity from any spurious external requests. Each sequence of activity consists of a

Working with Google App Engine's NDB, I'm looking to query for all items that start with a user-inputted string. Example: abc_123 abcdefg 123abc Querying for "abc" should return abc_123, abcdefg (however, not 123abc as it doesn't start with "abc") I previously used the code below for a similar but different purpose: q = q.filter(order._properties[kw].IN(values_list)) which filtered for all values in values_list that were in kw, I am now looking to filter for all values that start with a string that are in kw. Try: Kind.query(ndb.AND(Kind.property >= "abc", Kind.property <= "abcz")) 来源： https:/