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Building Enterprise JavaScript Applications

You're reading from  Building Enterprise JavaScript Applications

Product type Book
Published in Sep 2018
Publisher Packt
ISBN-13 9781788477321
Pages 764 pages
Edition 1st Edition
Languages
Author (1):
Daniel Li Daniel Li
Profile icon Daniel Li

Table of Contents (26) Chapters

Title Page
Copyright and Credits
Dedication
Packt Upsell
Contributors
Preface
1. The Importance of Good Code 2. The State of JavaScript 3. Managing Version History with Git 4. Setting Up Development Tools 5. Writing End-to-End Tests 6. Storing Data in Elasticsearch 7. Modularizing Our Code 8. Writing Unit/Integration Tests 9. Designing Our API 10. Deploying Our Application on a VPS 11. Continuous Integration 12. Security – Authentication and Authorization 13. Documenting Our API 14. Creating UI with React 15. E2E Testing in React 16. Managing States with Redux 17. Migrating to Docker 18. Robust Infrastructure with Kubernetes 1. Other Books You May Enjoy Index

Indexing documents to Elasticsearch


In src/index.js, import the Elasticsearch library and initiate a client as we did before; then, in the request handler for POST /users, use the Elasticsearch JavaScript client's index method to add the payload object into the Elasticsearch index:

import elasticsearch from 'elasticsearch';
const client = new elasticsearch.Client({
  host: `${process.env.ELASTICSEARCH_PROTOCOL}://${process.env.ELASTICSEARCH_HOSTNAME}:${process.env.ELASTICSEARCH_PORT}`,
});
...

app.post('/users', (req, res, next) => {
  ...
  client.index({
    index: 'hobnob',
    type: 'user',
    body: req.body
  })
}

The index method returns a promise, which should resolve to something similar to this:

{ _index: 'hobnob',
  _type: 'users',
  _id: 'AV7HyAlRmIBlG9P7rgWY',
  _version: 1,
  result: 'created',
  _shards: { total: 2, successful: 1, failed: 0 },
  created: true }

The only useful and relevant piece of information we can return to the client is the newly auto-generated _id field...

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