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Elasticsearch 7.0 Cookbook

You're reading from   Elasticsearch 7.0 Cookbook Over 100 recipes for fast, scalable, and reliable search for your enterprise

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Product type Paperback
Published in Apr 2019
Publisher Packt
ISBN-13 9781789956504
Length 724 pages
Edition 4th Edition
Languages
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Author (1):
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Alberto Paro Alberto Paro
Author Profile Icon Alberto Paro
Alberto Paro
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Toc

Table of Contents (19) Chapters Close

Preface 1. Getting Started FREE CHAPTER 2. Managing Mapping 3. Basic Operations 4. Exploring Search Capabilities 5. Text and Numeric Queries 6. Relationship and Geo Queries 7. Aggregations 8. Scripting in Elasticsearch 9. Managing Clusters 10. Backups and Restoring Data 11. User Interfaces 12. Using the Ingest Module 13. Java Integration 14. Scala Integration 15. Python Integration 16. Plugin Development 17. Big Data Integration 18. Another Book You May Enjoy

Setting up a node via Docker

Docker ( https://www.docker.com/ ) has become a common way to deploy application servers for testing or production.

Docker is a container system that makes it possible to easily deploy replicable installations of server applications. With Docker, you don't need to set up a host, configure it, download the Elasticsearch server, unzip it, or start the server—everything is done automatically by Docker.

Getting ready

How to do it…

  1. If you want to start a vanilla server, just execute the following command:
docker pull docker.elastic.co/elasticsearch/elasticsearch:7.0.0
  1. An output similar to the following will be shown:
7.0.0: Pulling from elasticsearch/elasticsearch
256b176beaff: Already exists
1af8ca1bb9f4: Pull complete
f910411dc8e2: Pull complete
0c0400545052: Pull complete
6e4d2771ff41: Pull complete
a14f19907b79: Pull complete
ea299a414bdf: Pull complete
a644b305c472: Pull complete
Digest: sha256:3da16b2f3b1d4e151c44f1a54f4f29d8be64884a64504b24ebcbdb4e14c80aa1
Status: Downloaded newer image for docker.elastic.co/elasticsearch/elasticsearch:7.0.0
  1. After downloading the Elasticsearch image, we can start a develop instance that can be accessed outside from Docker:
docker run -p 9200:9200 -p 9300:9300 -e "http.host=0.0.0.0" -e "transport.host=0.0.0.0" docker.elastic.co/elasticsearch/elasticsearch:7.0.0

You'll see the output of the ElasticSearch server starting.

  1. In another window/Terminal, to check if the Elasticsearch server is running, execute the following command:
docker ps

The output will be similar to the following:

CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
b99b252732af docker.elastic.co/elasticsearch/elasticsearch:7.0.0 "/usr/local/bin/dock…" 2 minutes ago Up 2 minutes 0.0.0.0:9200->9200/tcp, 0.0.0.0:9300->9300/tcp gracious_bassi
  1. The default exported ports are 9200 and 9300.

How it works…

The Docker container provides a Debian Linux installation with Elasticsearch installed.

Elasticsearch Docker installation is easily repeatable and does not require a lot of editing and configuration.

The default installation can be tuned into in several ways, for example:

  1. You can pass a parameter to Elasticsearch via the command line using the -e flag, as follows:
docker run -d docker.elastic.co/elasticsearch/elasticsearch:7.0.0 elasticsearch -e "node.name=NodeName"
  1. You can customize the default settings of the environment that's providing custom Elasticsearch configuration by providing a volume mount point at /usr/share/elasticsearch/configas follows:
docker run -d -v "$PWD/config":/usr/share/elasticsearch/config docker.elastic.co/elasticsearch/elasticsearch:7.0.0
  1. You can persist the data between Docker reboots configuring a local data mount point to store index data. The path to be used as a mount point is /usr/share/elasticsearch/configas follows:
docker run -d -v "$PWD/esdata":/usr/share/elasticsearch/data docker.elastic.co/elasticsearch/elasticsearch:7.0.0

There's more…

The official Elasticsearch images are not only provided by Docker. There are also several customized images for custom purposes. Some of these are optimized for large cluster deployments or more complex Elasticsearch cluster topologies than the standard ones.

Docker is very handy for testing several versions of Elasticsearch in a clean way, without installing too much stuff on the host machine.

In the code repository directory ch01/docker/, there is a docker-compose.yaml file that provides a full environment that will set up the following elements:

  • elasticsearch, which will be available at http://localhost:9200
  • kibana, which will be available at http://localhost:5601
  • cerebro, which will be available at http://localhost:9000

To install all the applications, you can simply execute docker-compose up -d. All the required binaries will be downloaded and installed in Docker, and they will then be ready to be used.

See also

You have been reading a chapter from
Elasticsearch 7.0 Cookbook - Fourth Edition
Published in: Apr 2019
Publisher: Packt
ISBN-13: 9781789956504
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