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Learning Elastic Stack 6.0

You're reading from   Learning Elastic Stack 6.0 A beginner's guide to distributed search, analytics, and visualization using Elasticsearch, Logstash and Kibana

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Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781787281868
Length 434 pages
Edition 1st Edition
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Authors (2):
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Sharath Kumar Sharath Kumar
Author Profile Icon Sharath Kumar
Sharath Kumar
Pranav Shukla Pranav Shukla
Author Profile Icon Pranav Shukla
Pranav Shukla
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Toc

Table of Contents (12) Chapters Close

Preface 1. Introducing Elastic Stack 2. Getting Started with Elasticsearch FREE CHAPTER 3. Searching-What is Relevant 4. Analytics with Elasticsearch 5. Analyzing Log Data 6. Building Data Pipelines with Logstash 7. Visualizing data with Kibana 8. Elastic X-Pack 9. Running Elastic Stack in Production 10. Building a Sensor Data Analytics Application 11. Monitoring Server Infrastructure

Setting up the metadata database


We need to have a database that has metadata about the sensors. This database will hold the tables that we discussed in the Introduction to the application section.

We are storing the data in a relational database MySQL, but you can use any other relational database equally well. Since we are using MySQL, we will be using the MySQL JDBC driver to connect to the database. Please ensure that you have following things set up on your system:

  1. MySQL database community version 5.5, 5.6, or 5.7. You can use an existing database if you already have it on your system.
  2. Install the downloaded MySQL database and log in with the root user. Execute the script at this path: https://github.com/pranav-shukla/learningelasticstack/tree/master/chapter-10/files/create_sensor_metadata.sql.
  3. Log in to the newly created sensor_metadata database and verify that the three tables—sensor_type, locations, and sensors—exist in the database.

You can verify that the database was created and populated...

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