npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

feathers-datastore-ajv

v0.4.1

Published

Feathers service for Google Datastore with JSON Schema validation.

Downloads

4

Readme

feathers-datastore

Build Status

Feathers service for Google Datastore

Note: this service is still in its early stages and may be buggy and change quickly. Feedback is welcome!

Note: The library has been modified to add AJV validation support. Simply pass in a JSON Schema in Model.schema, and this validation will automatically be enabled.

Installation

npm install feathers-datastore --save

Documentation

This service follows the standard interface followed by Feathers database services, barring certain caveats as outlined below. Please refer to the feathers-datastore documentation for Feathers service interface.

Caveats

Proper pagination, sorting and certain query filters are not yet implemented. You cannot use: $in, $nin, $ne, $or. Some of these will be implemented in future, but may not be due to the limitations of Google Datastore querying.

It's also worth noting that unless you index your datastore properly, you may run into issues running many combined filters. See querying Google Datastore.

There is also a performance / cost concern with $select - as Google Datastore cannot project unindexed properties, this library fetches the entire entity from the database and then filters it out before sending the response.

Credentials

If you're wishing to manually authenticate using credentials, pass a credentials object to the service factory function e.g.

let credentials = {
  client_email: process.env.GCLOUD_CLIENT_EMAIL,
  private_key: process.env.GCLOUD_PRIVATE_KEY
};

app.use('/user', datastore({ credentials }))

Note: as with Google Cloud, this isn't needed if you're running in an environment which authenticates for you e.g. App Engine or a local machine with the gcloud SDK

Kinds

Each service instance should be constructed with a kind for Datastore to use e.g.

app.use('/user', datastore({ kind: 'User' }));

This sets this.kind to User.

Namespacing

To namespace any operation on the datastore, add it to the query params e.g.

app.service('/user')
  .find({
    query: {
      namespace: 'Marketing'
    }
  });

Datastore Keys

The datastore service has a makeKey method which is called to convert a resource id into a Datastore Entity key. By default it makes a Key with path [ this.kind, id ] and namespace as per the namespace query property.

This method can be overridden in order to serialize / deserialize keys from the ID.

Finding descendants

To specify an ancestor in a query, add it to the query params e.g.

app.service('/user')
  .find({
    query: {
      ancestor: 'John'
    }
  })
  .then((users) => {
    ...
  });

Indexing

Datastore will error if entity properties are > 1500 bytes and are set to index, so it's worth defining indexing if you can.

Properties can be excluded from indexing by setting the query param dontIndex e.g.

app.service('/user')
  .create({
    name: 'Stacey'
    age: 24,
    description: '...'
  }, {
    query: {
      dontIndex: [ 'description' ]
    }
  });

feathers-datastore can also automatically decide on whether or not to index based on the size of the entity. To enable, set autoIndex to true e.g.

app.service('/user')
  .create({
    name: 'Stacey'
    age: 24,
    description: 'Some massive description...'
  }, {
    query: {
      autoIndex: true
    }
  });

in which case if for example description is larger than 1500 bytes, it won't be indexed.

Complete Example

Here's an example of a Feathers server that uses feathers-datastore.

const feathers = require('feathers');
const rest = require('feathers-rest');
const hooks = require('feathers-hooks');
const bodyParser = require('body-parser');
const errorHandler = require('feathers-errors/handler');
const datastore = require('feathers-datastore');

const kind = 'User';
const projectId = process.env.GCLOUD_PROJECT;

// Initialize the application
const app = feathers()
  .configure(rest())
  .configure(hooks())
  // Needed for parsing bodies (login)
  .use(bodyParser.json())
  .use(bodyParser.urlencoded({ extended: true }))
  // Initialize your feathers datastore
  .use('/user', datastore({ kind, projectId }))
  .use(errorHandler());

app.listen(3030);

console.log('Feathers app started on 127.0.0.1:3030');

License

Copyright (c) 2016

Licensed under the MIT license.