Node.js idiomatic client for Cloud Datastore.
Cloud Datastore is a NoSQL document database built for automatic scaling, high performance, and ease of application development. While the Cloud Datastore interface has many of the same features as traditional databases, as a NoSQL database it differs from them in the way it describes relationships between data objects.
- Cloud Datastore Node.js Client API Reference
- github.com/googleapis/nodejs-datastore
- Cloud Datastore Documentation
Read more about the client libraries for Cloud APIs, including the older Google APIs Client Libraries, in Client Libraries Explained.
Table of contents:
-
Select or create a Cloud Platform project.
-
Enable billing for your project.
-
Enable the Google Cloud Datastore API.
-
Set up authentication with a service account so you can access the API from your local workstation.
npm install --save @google-cloud/datastore
// Imports the Google Cloud client library
const Datastore = require('@google-cloud/datastore');
// Your Google Cloud Platform project ID
const projectId = 'YOUR_PROJECT_ID';
// Creates a client
const datastore = new Datastore({
projectId: projectId,
});
// The kind for the new entity
const kind = 'Task';
// The name/ID for the new entity
const name = 'sampletask1';
// The Cloud Datastore key for the new entity
const taskKey = datastore.key([kind, name]);
// Prepares the new entity
const task = {
key: taskKey,
data: {
description: 'Buy milk',
},
};
// Saves the entity
datastore
.save(task)
.then(() => {
console.log(`Saved ${task.key.name}: ${task.data.description}`);
})
.catch(err => {
console.error('ERROR:', err);
});
Samples are in the samples/
directory. The samples' README.md
has instructions for running the samples.
Sample | Source Code | Try it |
---|---|---|
Tasks | source code | |
Concepts | source code | |
Errors and Error Handling | source code |
The Cloud Datastore Node.js Client API Reference documentation also contains samples.
This library follows Semantic Versioning.
This library is considered to be General Availability (GA). This means it is stable; the code surface will not change in backwards-incompatible ways unless absolutely necessary (e.g. because of critical security issues) or with an extensive deprecation period. Issues and requests against GA libraries are addressed with the highest priority.
More Information: Google Cloud Platform Launch Stages
Contributions welcome! See the Contributing Guide.
Apache Version 2.0
See LICENSE