Elasticsearch Getting Started

Elasticsearch Initially released in 2010, Elasticsearch (sometimes dubbed ES) is a modern search and analytics engine which is based on Apache Lucene content authoring operations.

What is Elasticsearch?

A modern search and analytics engine which is based on Apache Lucene
Completely open source and built with Java
NoSQL database

Install Elasticsearch

Install Elasticsearch from archive on Linux or MacOS

https://www.elastic.co/guide/en/elasticsearch/reference/7.11/targz.html

Install Elasticsearch with .zip on Windows

https://www.elastic.co/guide/en/elasticsearch/reference/7.11/zip-windows.html

Install Elasticsearch with Debian Package

https://www.elastic.co/guide/en/elasticsearch/reference/7.11/deb.html

Install Elasticsearch with RPM

https://www.elastic.co/guide/en/elasticsearch/reference/7.11/rpm.html

Install Elasticsearch with Windows MSI Installer

https://www.elastic.co/guide/en/elasticsearch/reference/7.11/windows.html

Install Elasticsearch on macOS with Homebrew

https://www.elastic.co/guide/en/elasticsearch/reference/7.11/brew.html

Install Elasticsearch with Docker

Pull the image

docker pull elasticsearch

Starting a single node cluster with Docker

docker run -p 9200:9200 -p 9300:9300 -e “discovery.type=single-node” elasticsearch

Starting a multi-node cluster with Docker Compose

Create a docker-compose.yml file

version: '2.2'
services:
  es01:
    image: docker.elastic.co/elasticsearch/elasticsearch:7.11.1
    container_name: es01
    environment:
      - node.name=es01
      - cluster.name=es-docker-cluster
      - discovery.seed_hosts=es02,es03
      - cluster.initial_master_nodes=es01,es02,es03
      - bootstrap.memory_lock=true
      - "ES_JAVA_OPTS=-Xms512m -Xmx512m"
    ulimits:
      memlock:
        soft: -1
        hard: -1
    volumes:
      - data01:/usr/share/elasticsearch/data
    ports:
      - 9200:9200
    networks:
      - elastic
  es02:
    image: docker.elastic.co/elasticsearch/elasticsearch:7.11.1
    container_name: es02
    environment:
      - node.name=es02
      - cluster.name=es-docker-cluster
      - discovery.seed_hosts=es01,es03
      - cluster.initial_master_nodes=es01,es02,es03
      - bootstrap.memory_lock=true
      - "ES_JAVA_OPTS=-Xms512m -Xmx512m"
    ulimits:
      memlock:
        soft: -1
        hard: -1
    volumes:
      - data02:/usr/share/elasticsearch/data
    networks:
      - elastic
  es03:
    image: docker.elastic.co/elasticsearch/elasticsearch:7.11.1
    container_name: es03
    environment:
      - node.name=es03
      - cluster.name=es-docker-cluster
      - discovery.seed_hosts=es01,es02
      - cluster.initial_master_nodes=es01,es02,es03
      - bootstrap.memory_lock=true
      - "ES_JAVA_OPTS=-Xms512m -Xmx512m"
    ulimits:
      memlock:
        soft: -1
        hard: -1
    volumes:
      - data03:/usr/share/elasticsearch/data
    networks:
      - elastic

volumes:
  data01:
    driver: local
  data02:
    driver: local
  data03:
    driver: local

networks:
  elastic:
    driver: bridge

Set vm.max_map_count to at least 262144 sudo sysctl -w vm.max_map_count=262144

Configuring Elasticsearch

sudo vim /etc/elasticsearch/elasticsearch.yml network.host: “localhost” http.port:9200

Creating an Elasticsearch Index

Indexing is the process of adding data to Elasticsearch.

Elasticsearch Querying

Removing Elasticsearch Data

Summary

Provide a simple solution for file storage
Support many clients
Strong support authentication, file locking, versioning
Free
Easy to use

Reference

https://logz.io/blog/elasticsearch-tutorial/

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