google-cloud-datastore

Is it possible to set environment variables for GCF so that all that settings would be visible to all functions? Or maybe there are some options to configure it in project's scope? I'm just need a mechanism to parametrize all environments, like local-dev, dev, stage, prod for functions. For now I'm trying setup local datastore emulator and setup local development/debugging/testing workflow without writing if statements inside code. As I found such things can be configured through env. veriables, but I'm don't know how it would work on target platform in cloud. In future staging will be made by

In Java, when we program money it is recommended to use the class BigDecimal for money. Is there something similar in python? I would like something object-oriented that can have a currency and an exchange rate, has that been done? I store money as integers of cents (I think) and multiply with 100 to get dollars but I also have foreign currency so listing listing ordered by price becomes inconvenient when articles have different currencies and even are listed as price per hour or per item. So ideally I would like a class for money in python that has exchange rate, currency and what type of

Is it necessary to do backups of gae's datastore? Does anyone have any experience, suggestions, tricks for doing so? You can now use the managed export and import feature, which can be accessed through gcloud or the Datastore Admin API: Exporting and Importing Entities Scheduling an Export Backups are always necessary to protect against human error. Since App Engine encourages you to build mutiple revisions of your code that run against the same dataset, it's important to be able to go back. A simple dump/restore tool is explained in the Bulkloader documentation . Something else I've done in

On Google App Engine to query the data store with Python, one can use GQL or Entity.all() and then filter it. So for example these are equivalent gql = "SELECT * FROM User WHERE age >= 18" db.GqlQuery(gql) and query = User.all() query.filter("age >=", 18) Now, it's also possible to query things by key name. I know that in GQL you do it like this gql = "SELECT * FROM User WHERE __key__ >= Key('User', 'abc')" db.GqlQuery(gql) But how would you now use filter to do the same? query = User.all() query.filter("__key__ >=", ?????) from google.appengine.api.datastore import Key query.filter("__key__ >

I am trying to decide whether I should use App-engine Search API or Datastore for an App-engine Connected Android Project. The only distinction that the google documentation makes is ... an index search can find no more than 10,000 matching documents. The App Engine Datastore may be more appropriate for applications that need to retrieve very large result sets. Given that I am already very familiar with the Datastore: Will someone please help me, assuming I don't need 10,000 results? Are there any advantages to using the Search API versus using Datastore for my queries (per the quote above, it