google-cloud-datastore

问题 I am using nodejs to contact the google datastore. This is my code: dataset.runInTransaction(function(transaction, done,err) { // From the `transaction` object, execute dataset methods as usual. // Call `done` when you're ready to commit all of the changes. transaction.save(entities, function(err) { if(err){ console.log("ERROR TRNASCTION"); transaction.rollback(done); return; }else{ console.log("TRANSACTION SUCCESS!"); done(); } }); }); If the save was not successful, I would like the

问题 Is it possible for one GAE application to access the datastore of another GAE application (both applications are hosted under the same Google account) using Objectify? If so, how can I pass service account credentials to Objectify (which API calls)? 回答1: It is not possible . Objectify is a very simple and convenient lightweight ORM that sits on top of a GAE Datastore , thus shielding the developer from most of the complexities of using JDO/JPA. Nowhere in the documentation have I seen the

问题 I am trying to make a Web Application based on Google App Engine in python. A part of it deals with displaying the poster of Movie hosted at IMDb. I have the link to the poster. For ex. http://ia.media-imdb.com/images/M/MV5BNTM3OTc0MzM2OV5BMl5BanBnXkFtZTYwNzUwMTI3._V1._SX94_SY140_.jpg Then I tried to put it in an HTML page as: <a href="https://ia.media-imdb.com/images/M/MV5BNTM3OTc0MzM2OV5BMl5BanBnXkFtZTYwNzUwMTI3.jpg"> <img src="https://ia.media-imdb.com/images/M

问题 I am doing geoquery among 300 user entities with a result range 10. I've maked a query for 120 times. For each query I got 10 user entity objects. After this my app engine read operations reached 52% (26000 operations). My user entity has 12 single value properties and 3 multi-value properties(List type). User entity have 2 indexes for single value properties and 2 indexes on list type properties. Can any one please help me to understand how google's appengine counts the datastore read

问题 I have a model which might reference another model and which has a completed_on date. class Game(db.Model): challenge = db.ReferenceProperty(Challenge, required=False) completed_on = db.DateTimeProperty(default=None) I'd like to be able to select all of the completed Challenge games that were completed before a certain time period. Problem is I can't have 2 inequalities But http://code.google.com/appengine/docs/python/datastore/queries.html says: Inequality Filters Are Allowed on One Property

问题 I have a simple domain model as follows Driver - key(string), run-count, unique-track-count Track - key(string), run-count, unique-driver-count, best-time Run - key(?), driver-key, track-key, time, boolean-driver-update, boolean-track-updated I need to be able to update a Run and a Driver in the same transaction; as well as a Run and a Track in the same transaction (obviously to make sure i don't update the statistics twice, or miss out on an increment counter) Now I have tried assigning as

问题 Trying to optimise db model class property name by using name in the property. Ex. class terminals(db.Model): location_code = db.StringProperty() terminal_code = db.StringProperty(default='') start_invoice_no = db.IntegerProperty(indexed=False, default=1, name='sin') next_invoice_no = db.IntegerProperty(indexed=False) last_doc_details = db.TextProperty(default='{}') Query on terminals: terminal_qry = db.Model(terminals).all() putting happening fine into db. but while i try serialize this

问题 Sometimes I allocate an ID before putting a datastore entity and other times I allow app engine to auto-generate the ID. My question is: If I put an entity and then delete it, does the ID once again become available when allocating and/or allowing app engine to auto-generate an ID for a new entity? The reason I ask is I may have other entities referencing that ID (kind of like a key), so I do not want the ID's to be recycled even after an entity is deleted. I currently solve this by just

问题 I need to design a data model for an Amazon S3-like application. Let's simplify the problem into 3 key concepts - users, buckets and objects. There are many ways to design this model - I'll list two. Three Kinds - User, Bucket and Object. Each Object has a Bucket as its parent. Each Bucket has a User as its parent. User is the root. Dynamic Kinds - Users are stored in the User kind and buckets are stored in the Bucket kind - same as #1. However objects within a bucket are stored in a dynamic

问题 I'm trying to achieve strong consistency with ndb using python. And looks like I'm missing something as my reads behave like they're not strongly consistent. The query is: links = Link.query(ancestor=lead_key).filter(Link.last_status == None).fetch(keys_only=True) if links: do_action() The key structure is: Lead root (generic key) -> Lead -> Website (one per lead) -> Link I have many tasks that are executed concurrently using TaskQueue and this query is performed at the end of every task.