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Drupal 8 + Elasticsearch + Docker

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Roald Umandal
Roald Umandal

This document discusses setting up Drupal 8, Elasticsearch, and Docker. It provides instructions for pulling relevant Docker images, running Elasticsearch and Drupal containers, and configuring them to integrate. Elasticsearch is configured as the search backend in Drupal. Views is used to create a search page that indexes Elasticsearch. The demo shows Drupal and Elasticsearch running in Docker and communicating to enable search capabilities in Drupal.

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DRUPAL 8 + ELASTICSEARCH + DOCKER Roald R. Umandal, Vielsoft Ltd Co. Drupal Camp Manila 2016
What we need? • Docker • Docker ubuntu image • Docker elasticsearch image • Apache, MySQL, PHP 5, Drush • Drupal 8
What is Docker?
Docker • Docker allows you to package an application with all of its dependencies into a standardized unit of software development
Docker • Docker container wrap up a piece of software in a complete filesystem that contains everything it needs to run: code, runtime, system tools, system libraries – anything you can install on a server
Why Docker • Lightweight • Portable • Isolation • Consistent Environments
What is Elasticsearch?
Elasticsearch • Elasticsearch is distributed RESTful search engine built for the cloud.
Elasticsearch • Elasticsearch is a search server based on Lucene. It provides distributed, multitenant-capable full-text search engine with an HTTP web interface and Schema- Free JSON documents.
Elasticsearch • Elasticsearch is developed in Java and is released as open source under the terms of the Apache License
Features • Distributed and Highly Available Search Engine – Each index is fully sharded with a configurable number of shards – Each shard can have one or more replicas – Read/Search operations performed on any of the replica shards.
Features • Multi Tenant with Multi Types – Support for more than one index. – Support for more than one type per index. – Index level configuration (number of shards, index storage).
Features • Various set of APIs – HTTP RESTful API – Native Java API – All APIs perform automatic node operation rerouting
Features • Document Oriented – No need for upfront schema definition. – Schema can be defined per type for customization of indexing process.
Features • Reliable, Asynchronous Write Behind for long term persistency. • (Near) Real Time Search. • Built on top of lucene – Each shard is fully functional Lucene index – All the power of Lucene easily exposed through simple configuration / plugins.
Features • Per operation consistency – Singe document level operations are atomic, consistent, isolated and durable. • Open Source under the Apache License, version 2 (“ALv2”)
Let’s get started
Demo
Setup  Drupal 8  docker pull roaldumandal/drupal8  docker run -d -P --name [container name][docker image]  docker exec -it [container name | container id] [command]  Start mysql - /etc/init.d/mysql start  Start apache - /etc/init.d/apache2 start  Elasticsearch  docker pull roaldumandal/elasticsearch  docker run -d -P --name [container name][docker image]  docker exec -it [container name | container id] [command]  Start elasticsearch - /etc/init.d/elasticsearch start
Let’s build first our elasticsearch server
Elasticsearch • docker pull roaldumandal/elasticsearch
Elasticsearch • docker run -d -P elasticsearch roaldumandal/elasticsearch
Elasticsearch • Login to docker container – docker exec -it elasticsearch bash
Elasticsearch • Start elasticsearch - /etc/init.d/elasticsearch start • Type in your terminal exit
Now where ready to setup our Drupal 8 web server!
Drupal 8 • docker pull roaldumandal/drupal8
Drupal 8 • Create docker your docker container • docker run -d -P --name [container name] [docker image] • The -d flag keeps the container running in background after the docker run command completes • The -p flag publishes exposed ports from the container to your localhost; this lets you access them from your computer
Drupal 8 • docker exec -it [container name | container id] [command] • After running the command it login you as root
Drupal 8 • Start mysql - /etc/init.d/mysql start • Start apache - /etc/init.d/apache2 start • Type in on your terminal exit
Drupal 8 • Check newly created container • docker ps -a (This command will list all available container)
Drupal 8 • Accessing your docker web app in your computer • Getting your docker default ip run this command – docker-machine ip default (This will list your default ip). • Example: – http://192.168.99.100:32773 – 32773 is the docker generated port
Drupal 8 • Voila! you already have Drupal 8 running in your local
Configuring Elasticsearch • Enable elasticsearch connector
Configuring Elasticsearch • Add cluster name • Set server URL (Elasticsearch server)
Configuring Elasticsearch • Creating elasticsearch index
Configuring Elasticsearch • You should be able to see now your cluster and index
Configuring Search API • Add search server • Fill up the fields set the elasticsearch server name • Set the backend type to Elasticsearch
Configuring Search API • Add search index • Fill up the fields • Set data source to Content: – None except those selected – Bundles: Article • Server – Elasticsearch Server • Goto views tab then index the data
Create views search page • Views module supports elasticsearch connector module we can build search page using views and set the views settings to index elasticsearch • Create new view • Name it elasticsearch then save and edit
Create views search page • Views Elasticsearch page settings – Format: Unformatted list – Show: Fields – Fields: • Content datasource: Title • Content datasource: Image • Content datasource: Body • Filter criteria: – Search Fulltext
Elasticsearch Views
Questions?
Thank You
Need more help? • https://www.docker.com/what-docker • http://www.lucenetutorial.com/basic-concepts.html • https://docs.docker.com/engine/reference/commandline/cli/ • https://www.quora.com/What-is-the-difference-between-Docker-and- Vagrant-When-should-you-use-each-one • http://stackoverflow.com/questions/16647069/should-i-use-vagrant- or-docker-for-creating-an-isolated-environment • https://medium.com/dev-tricks/apache-and-php-on-docker- 44faef716150#.g64yqogkg • https://docs.docker.com/engine/installation/mac/ • https://www.elastic.co/guide/en/elasticsearch/reference/current/gloss ary.html • http://joelabrahamsson.com/elasticsearch-101/ • https://www.quora.com/What-are-the-disadvantages-of-using- Elasticsearch-as-a-primary-database
Disclaimer All images used in this presentation are borrowed from the internet. Therefore, all rights reserved to the original owner.

More Related Content

Drupal 8 + Elasticsearch + Docker

  • 1. DRUPAL 8 + ELASTICSEARCH + DOCKER Roald R. Umandal, Vielsoft Ltd Co. Drupal Camp Manila 2016
  • 2. What we need? • Docker • Docker ubuntu image • Docker elasticsearch image • Apache, MySQL, PHP 5, Drush • Drupal 8
  • 4. Docker • Docker allows you to package an application with all of its dependencies into a standardized unit of software development
  • 5. Docker • Docker container wrap up a piece of software in a complete filesystem that contains everything it needs to run: code, runtime, system tools, system libraries – anything you can install on a server
  • 6. Why Docker • Lightweight • Portable • Isolation • Consistent Environments
  • 8. Elasticsearch • Elasticsearch is distributed RESTful search engine built for the cloud.
  • 9. Elasticsearch • Elasticsearch is a search server based on Lucene. It provides distributed, multitenant-capable full-text search engine with an HTTP web interface and Schema- Free JSON documents.
  • 10. Elasticsearch • Elasticsearch is developed in Java and is released as open source under the terms of the Apache License
  • 11. Features • Distributed and Highly Available Search Engine – Each index is fully sharded with a configurable number of shards – Each shard can have one or more replicas – Read/Search operations performed on any of the replica shards.
  • 12. Features • Multi Tenant with Multi Types – Support for more than one index. – Support for more than one type per index. – Index level configuration (number of shards, index storage).
  • 13. Features • Various set of APIs – HTTP RESTful API – Native Java API – All APIs perform automatic node operation rerouting
  • 14. Features • Document Oriented – No need for upfront schema definition. – Schema can be defined per type for customization of indexing process.
  • 15. Features • Reliable, Asynchronous Write Behind for long term persistency. • (Near) Real Time Search. • Built on top of lucene – Each shard is fully functional Lucene index – All the power of Lucene easily exposed through simple configuration / plugins.
  • 16. Features • Per operation consistency – Singe document level operations are atomic, consistent, isolated and durable. • Open Source under the Apache License, version 2 (“ALv2”)
  • 18. Demo
  • 19. Setup  Drupal 8  docker pull roaldumandal/drupal8  docker run -d -P --name [container name][docker image]  docker exec -it [container name | container id] [command]  Start mysql - /etc/init.d/mysql start  Start apache - /etc/init.d/apache2 start  Elasticsearch  docker pull roaldumandal/elasticsearch  docker run -d -P --name [container name][docker image]  docker exec -it [container name | container id] [command]  Start elasticsearch - /etc/init.d/elasticsearch start
  • 20. Let’s build first our elasticsearch server
  • 21. Elasticsearch • docker pull roaldumandal/elasticsearch
  • 22. Elasticsearch • docker run -d -P elasticsearch roaldumandal/elasticsearch
  • 23. Elasticsearch • Login to docker container – docker exec -it elasticsearch bash
  • 24. Elasticsearch • Start elasticsearch - /etc/init.d/elasticsearch start • Type in your terminal exit
  • 25. Now where ready to setup our Drupal 8 web server!
  • 26. Drupal 8 • docker pull roaldumandal/drupal8
  • 27. Drupal 8 • Create docker your docker container • docker run -d -P --name [container name] [docker image] • The -d flag keeps the container running in background after the docker run command completes • The -p flag publishes exposed ports from the container to your localhost; this lets you access them from your computer
  • 28. Drupal 8 • docker exec -it [container name | container id] [command] • After running the command it login you as root
  • 29. Drupal 8 • Start mysql - /etc/init.d/mysql start • Start apache - /etc/init.d/apache2 start • Type in on your terminal exit
  • 30. Drupal 8 • Check newly created container • docker ps -a (This command will list all available container)
  • 31. Drupal 8 • Accessing your docker web app in your computer • Getting your docker default ip run this command – docker-machine ip default (This will list your default ip). • Example: – http://192.168.99.100:32773 – 32773 is the docker generated port
  • 32. Drupal 8 • Voila! you already have Drupal 8 running in your local
  • 33. Configuring Elasticsearch • Enable elasticsearch connector
  • 34. Configuring Elasticsearch • Add cluster name • Set server URL (Elasticsearch server)
  • 36. Configuring Elasticsearch • You should be able to see now your cluster and index
  • 37. Configuring Search API • Add search server • Fill up the fields set the elasticsearch server name • Set the backend type to Elasticsearch
  • 38. Configuring Search API • Add search index • Fill up the fields • Set data source to Content: – None except those selected – Bundles: Article • Server – Elasticsearch Server • Goto views tab then index the data
  • 39. Create views search page • Views module supports elasticsearch connector module we can build search page using views and set the views settings to index elasticsearch • Create new view • Name it elasticsearch then save and edit
  • 40. Create views search page • Views Elasticsearch page settings – Format: Unformatted list – Show: Fields – Fields: • Content datasource: Title • Content datasource: Image • Content datasource: Body • Filter criteria: – Search Fulltext
  • 44. Need more help? • https://www.docker.com/what-docker • http://www.lucenetutorial.com/basic-concepts.html • https://docs.docker.com/engine/reference/commandline/cli/ • https://www.quora.com/What-is-the-difference-between-Docker-and- Vagrant-When-should-you-use-each-one • http://stackoverflow.com/questions/16647069/should-i-use-vagrant- or-docker-for-creating-an-isolated-environment • https://medium.com/dev-tricks/apache-and-php-on-docker- 44faef716150#.g64yqogkg • https://docs.docker.com/engine/installation/mac/ • https://www.elastic.co/guide/en/elasticsearch/reference/current/gloss ary.html • http://joelabrahamsson.com/elasticsearch-101/ • https://www.quora.com/What-are-the-disadvantages-of-using- Elasticsearch-as-a-primary-database
  • 45. Disclaimer All images used in this presentation are borrowed from the internet. Therefore, all rights reserved to the original owner.