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Mastering Chef

You're reading from   Mastering Chef Build, deploy, and manage your IT infrastructure to deliver a successful automated system with Chef in any environment

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Product type Paperback
Published in Jun 2015
Publisher
ISBN-13 9781783981564
Length 374 pages
Edition 1st Edition
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Author (1):
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Mayank Joshi Mayank Joshi
Author Profile Icon Mayank Joshi
Mayank Joshi
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Toc

Table of Contents (15) Chapters Close

Preface 1. Introduction to the Chef Ecosystem FREE CHAPTER 2. Knife and Its Associated Plugins 3. Chef and Ruby 4. Controlling Access to Resources 5. Starting the Journey to the World of Recipes 6. Cookbooks and LWRPs 7. Roles and Environments 8. Attributes and Their Uses 9. Ohai and Its Plugin Ecosystem 10. Data Bags and Templates 11. Chef API and Search 12. Extending Chef 13. (Ab)Using Chef Index

Search

Apart from these endpoints, the Chef server API provides us with an endpoint to query data indexed by the Chef server. This includes data bags, environments, roles, and nodes. The Chef server API provides two endpoints for the purposes of search: /search and /search/INDEX. The search engine used by Chef is based on Apache Solr. You can do a full-text query using a defined query syntax. Chef provides support for search, using different patterns such as exact, wildcard, range, and fuzzy.

/search

The /search endpoint allows you to search for data bags, roles, nodes, and environments. It has support for the GET method.

GET

The GET method returns a JSON with links to each available search index.

For a request, we can use the following code:

GET /search

Response:

The response will return something like this:

{
  "client": "https://chef.indix.tv:443/search/client",
  "environment": "https://chef.indix.tv:443/search/environment",
  "node": "https...
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