Elasticsearch 7 and Elastic Stack - In Depth and Hands On! - Logstash and MySQL - Part 1

This tutorial demonstrates how to use Logstash with MySQL to extract data from a MySQL table and create an Elasticsearch index. It covers installing MySQL on an Ubuntu virtual machine, setting up a MovieLens database, and configuring Logstash to connect to the database using a JDBC driver. The tutorial also explains how to import data into MySQL and execute SQL queries to manipulate and retrieve data.

What is the primary purpose of using Logstash with MySQL in this tutorial?

• To convert MySQL data into a different format

• To extract data from MySQL and create an Elasticsearch index

• To enhance the security of MySQL databases

• To create a backup of MySQL databases

What is the first step in setting up Logstash with MySQL?

• Configuring the MySQL database

• Installing Elasticsearch

• Creating a new MySQL user

• Installing a JDBC driver for MySQL

Which command is used to update repositories on Ubuntu before installing MySQL?

• sudo apt-get remove

• sudo apt-get install

• sudo apt-get upgrade

• sudo apt-get update

What is the purpose of downloading the MovieLens dataset in this tutorial?

• To test the performance of MySQL

• To use it as sample data for creating a MySQL table

• To analyze movie trends

• To compare different data formats

Which field is NOT part of the schema for the 'movielens_movies' table?

• Movie ID

• Director

• Title

• Release Date

What SQL command is used to load data from a local file into a MySQL table?

• IMPORT FILE

• COPY FROM

• LOAD DATA LOCAL INFILE

• INSERT INTO

What is the next step after verifying data import into MySQL?

• Exporting data to a CSV file

• Integrating with Elasticsearch using Logstash

• Creating a backup of the database

• Optimizing the MySQL server