google-cloud-datastore

问题 I'm new to this nuget package and confused with the Key class. Here is my code base on Google.Cloud.Datastore.V1 document: public long InsertMessage<T>(T iEntity) where T : IEntity<T> { var keyFactory = _db.CreateKeyFactory(Kind); var entity = iEntity.ToEntity(); entity.Key = keyFactory.CreateIncompleteKey(); using (var transaction = _db.BeginTransaction()) { transaction.Insert(entity); var commitResponse = transaction.Commit(); var insertedKey = commitResponse.MutationResults[0].Key; Logger

问题 I have a datastore which is already populated with entities. However, they haven't been arranged into entity groups (a.k.a parent-child relationships). My entity Kinds are: team = Team.get_by_key_name('Plants') query = Plants.all() The plants haven't been assigned to the Plants team yet: query = Plants.all().ancestor(team) plants = query.fetch(50) # This will result in an empty list I would like to assign them to the team now: query = Plants.all() plants = query.fetch(50) for p in plants: #

问题 iam trying to persist a Hashmap data in JDO. initially i created a Hashmap like Map<Integer,String> dat=new HashMap<Integer,String>(); and this worked perfectly and i was able to save data., but when i tried Map<Integer, ArrayList<String>> dat=new HashMap<Integer,ArrayList<String>>(); i got an error like this data: java.util.ArrayList is not a supported property type. am i using a non supported data type ?? is there a better alternative ?? i am just doing this for learning purpose ...so your

问题 Need to wipe down a Datastore namespace before test data is uploaded during testing. Using Cloud Datastore API with Python3. I'm using Datastore with App Engine in Python3. For testing purposes, I have written a script using the Cloud Datastore API to upload several entities of different kinds to datastore. As this is a small project, at the moment there are only 4 kinds and only 2-3 entities per kind. I want to add to my pipeline a script to wipe down a particular namespace in Datastore that

问题 The documentation says that in the near future exiting Datastore's will be converted to Cloud Firestore in Datastore mode. The added benefits are shown as: Cloud Firestore in Datastore mode Cloud Firestore in Datastore mode uses Cloud Datastore system behavior but accesses Cloud Firestore's storage layer, removing the following Cloud Datastore limitations: Eventual consistency, all Cloud Datastore queries become strongly consistent. Transactions are no longer limited to 25 entity groups.

问题 My reading is limited as of yet, but so far here are some key points I have identified for using the GAE Datastore: It is not a relational database. Data duplication occurs by default across storage space. You cannot 'join' tables at the datastore level. Optimized for reads with less frequent writes. These lead me to the following data model for a Blog System: Blogs have a relatively known set of 'columns': id, date, author, content, rating, tags. The Datastore allows for additional columns

问题 My reading is limited as of yet, but so far here are some key points I have identified for using the GAE Datastore: It is not a relational database. Data duplication occurs by default across storage space. You cannot 'join' tables at the datastore level. Optimized for reads with less frequent writes. These lead me to the following data model for a Blog System: Blogs have a relatively known set of 'columns': id, date, author, content, rating, tags. The Datastore allows for additional columns

问题 I'm developing a directory app on app-engine (python) and I've run into trouble with too many write ops. The first issue is that I have a .NET script that goes through an excel file and posts the data to a page in my app. When I ran it, it got through around 700 records and I had already used 75% of my write ops quota. The same thing happened when I wrote a script to update all of my models to have a search field for each property. I went from 75% of the quota filled to 96% in around 20

问题 What is the viability of using a Long value generated by the GAE Sharded Counter code. In terms of having a unique Long id across datacenters? Why do I need to use the counter value as ID? GAE generates very long Long values as entity id, which in my app I need to have short ID's like the one generated by the Sharded counter at first. Question: Would the sharded counter at some point will generate the same value for a different request such that ID's might collide? 回答1: It is not viable since

问题 Let's for example say I have the following objectify model: @Cache @Entity public class CompanyViews implements Serializable, Persistence { @Id private Long id; private Date created; private Date modified; private Long companyId; ........ private Integer counter; ........ @Override public void persist() { persist(false); } @Override public void persist(Boolean async) { ObjectifyService.register(Feedback.class); // setup some variables setUuid(UUID.randomUUID().toString().toUpperCase());