Coder Social home page Coder Social logo

ianvizarra / advanced-elasticsearch-training Goto Github PK

View Code? Open in Web Editor NEW

This project forked from davidbkemp/advanced-elasticsearch-training

0.0 1.0 0.0 10.46 MB

Elasticsearch training for those that already know the basics

License: MIT License

Shell 100.00%

advanced-elasticsearch-training's Introduction

Advanced Elasticsearch Training

Warning: This training material has not really been designed for self guidance. It assumes an instructor will verbally explain a lot of the material.

This material also assumes that you have already covered the basics including simple queries, index mappings, relevancy scoring, and custom analysers.

See, for example, https://jamesfer.me/intro-elasticsearch-training/#1

Topics

  • Nodes, shards, replicas, master nodes
  • Query profiling
  • Aggregations
  • Nested objects
  • Parent/child docs
  • Field Collapsing
  • Geospatial data
  • Logstash
  • Suggesters
  • Controlling scores
  • Percolators

Prerequisites

You need to install various software tools.

Requirements:

  • Docker (if on OSX, Docker for Mac is recommended)
  • docker-compose

Notes

There are scripts in the scripts directory that use docker-compose to create, stop and destroy an Elasticsearch + Kibana environment.

If you have previously run a different version of Elasticsearch with these scripts, especially anything before version 7.13.2 then it may be best to destroy your existing Elasticsearch data with scripts/destroy.

Create an environment with:

scripts/up

Elasticsearch should now be available on http://localhost:9200

Kibana should now be available on http://localhost:5601

Stop the environment with:

scripts/down

Data is persisted so a subsequent scripts/up will start up ES and Kibana with your data still there.

Cleanup the environment and delete all data with:

scripts/destroy

advanced-elasticsearch-training's People

Contributors

davidbkemp avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.