Here are a few title options, focusing on the \"question\" format and addressing the core issue: **Direct & Concise:** * **Can I connect to AppEngine Datastore from a GCE instance in l

Connecting to AppEngine Datastore in Development via Cloud Datastore API

Introduction

This question explores the feasibility of connecting to the AppEngine datastore from a GCE instance using the Cloud Datastore API in a local development environment. The following setup is provided:

• A running Go devappserver with embedded datastore
• A Go standalone binary for making datastore queries
• Google-api-go-client/datastore/v1beta2 for API-based datastore access

Current Limitations

Unfortunately, this is currently not possible in the development environment for two reasons:

1. Different development servers:
   The Google Cloud Datastore tool (gcd.sh) uses a Java development server, while AppEngine uses a Python development server with a different underlying storage mechanism.
2. Go client library issues:
   The current Go client library for Cloud Datastore suffers from stability issues, and the development server does not support the JSON API used by the library.

Workarounds

Use Protocol Version of Cloud Datastore API (Recommended)

Instead of relying on the Go client library, you can use the protocol version of the API by following proppy's suggestion:

• Compile the protobuf definition to Go code using the Go protobuf compiler plugin.
• Send POST HTTP requests to /datastore/{version}/datasets/{datasetId}/{method} with the appropriate request body.

This workaround allows you to use the Cloud Datastore Protobuf HTTP API, which is more stable than the Go client library. It can also enable testing with the gcd.sh tool in the development server, although you will have to craft the HTTP requests yourself. Note that this approach does not allow for datastore data sharing between your application and the Cloud Datastore in development.

Craft Direct HTTP Requests

If the API library proves to be incompatible with development, you can consider issuing direct HTTP calls to the datastore. This approach requires manual handling of request construction and JSON parsing, but it may be a viable option if other methods are not feasible.

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