google-cloud-datastore

问题 I have two tables Folder & VirtualSystemEntry I tried to follow this Dataneclous Turorial but it always results with StackOverFlowException here what I tried so far Folder.java @Entity public class Folder implements IsSerializable{ @Id @Column(name = "fvseID") @GeneratedValue(strategy = GenerationType.IDENTITY) @Extension(vendorName = "datanucleus", key = "gae.encoded-pk", value = "true") private String fvseID; @OneToOne @JoinColumn(name="vseID") private VirtualSystemEntry vse=new

问题 I have created an entity with few attributes but without specifying any key in which case an auto generated ID has been created in data-store. Entity en=new Entity("Job"); Now when I fetch such entities and try to store it in Java object, how can I get the auto generated ID (which I required to perform UPDATE operation later)? I have tried the below ways but it does not return Identifier value. en.getProperty("__key__"); en.getProperty("ID/Name"); en.getProperty("Key"); 回答1: You are probably

问题 If I'm using GWT File widget and form panel, can someone explain how to handle upload on blobstore on google application engine?? 回答1: Take a look at gwtupload. There are examples on how to use it with GAE Blobstore. 回答2: Google blobstore is specifically designed to upload and serve blobs via http. Blobstore service (obtained using BlobstoreServiceFactory.getBlobstoreService() ) generates http post action for you to use in the html form. By posting file to it you upload your blob to the

问题 Users submit rectangular axis-aligned regions associated with "terrain maps". At any time users can delete regions they have created. class Region(db.Model): terrain_map = reference to TerrainMap top_left_x = integer top_left_y = integer bottom_right_x = integer bottom_right_y = integer I want to maintain a "terrain height map", which progressively updates as new rectangular regions are added or deleted. class TerrainMap(db.Model): terrain_height = blob Here's a "picture" of what the map

问题 I'm need to write a huge quantity of entities (1.5 million lines from a .csv file) to Google Cloud Datastore. Kind of a 2 part question: Can I do (or is kind a necessary property?): const item = { family: "chevrolet", series: "impala", data: { sku: "chev-impala", description: "Chevrolet Impala Sedan", price: "20000" } } then, regarding importing I'm unsure of how this works. If I can't simply dump/upload/import a huge .json file, I wanted to use Node.js. I would like each entity to have an

问题 I am a new bee with the Datastore gCloud. And I want to filter in an entity called Score all the scores that have relation with a list of companies. My entity is formed as follows: { "company_id": 1, "score": 100, } I have several entities with different company IDs. I tried to filter using the query.add_filter command but got the error ValueError: ('Invalid expression: "IN"', 'Please use one of: =, <, <=,>,> =.') The reason for the error is very clear to me, but I have not found anything in

问题 I was uploading the data to App Engine (not dev server) through loader class and remote api, and I hit the quota in the middle of a CSV file. Based on logs and progress sqllite db, how can I select remaining portion of data to be uploaded? Going through tens of records to determine which was and which was not transfered, is not appealing task, so I look for some way to limit the number of record I need to check. Here's relevant (IMO) log portion, how to interpret work item numbers? [DEBUG

问题 Datastore is not being updated even there's no errors. My code is: package com.google.gwt.sample.stockwatcher.server; import java.util.ArrayList; import com.google.appengine.api.datastore.DatastoreService; import com.google.appengine.api.datastore.DatastoreServiceFactory; import com.google.appengine.api.datastore.Entity; import com.google.gwt.sample.stockwatcher.client.DelistedException; import com.google.gwt.sample.stockwatcher.client.StockPrice; import com.google.gwt.sample.stockwatcher

问题 I have entity in datastore with fields. created_date = ndb.DateTimeProperty(auto_now_add=True) epoch = ndb.IntegerProperty() sent_requests = ndb.JsonProperty() I would like bulk to delete all those entities which are older than 2 days using daily cron job. I am aware of ndb.delete_multi(list_of_keys) but how do i get list of keys which are older than 2 days? Is scanning entire datastore with 100+ million entity and getting list of keys where epoch < int(time.time()) - 2*86400 the best option

问题 I have looked around quite a bit for any information on how Google Datastore scales up and whether you have to pre-order capacity like with DynamoDB. I couldn't find a shred of info since they changed up their pricing model in March 2016. Is Datastore a noSQL that you can throw anything at it and it just scales (without you thinking about hidden partitions)? I looked on this pricing page but all it says is a fixed flat fee per read & write (no mention of a provisioned capacity system where