Drupal and Elasticsearch

Apr 10, 2014Download as PPT, PDF1 like5,834 views

This document discusses Elasticsearch, an open source, distributed, RESTful search and analytics engine. It introduces Elasticsearch technology and explains how it works, who created it, who uses it, and why. It then covers how to install Elasticsearch, how indexing and searching are distributed across nodes, and some key APIs. Finally, it discusses full text search implementation and provides video and demo resources for learning more.

What we are going to
talk?
• Elasticsearch technology - http://www.elasticsearch.org
• What is Elasticsearch?
• How it works?
• Elasticsearch and Drupal – Demo
http://www.drupal.org/project/elasticsearch_connector

Who made
Elasticsearch?
• Shay Banon
• http://www.kimchy.org/
• https://github.com/kimchy
• https://twitter.com/kimchy/

Why they use it?
• Distributed out of the box - Incredible easy to make cluster, just start
new node!
• High availability
• Real time index/search
• REST API with JSON
• Build on top of Apache Lucene and Open Source
http://github.com/elasticsearch/elasticsearch
• Schema free
• Document oriented

Node
2
How distributed works?
Node
1
PUT /twitter
index:
number_of_shards:3
number_of_replicas:1
1P 2P
3P
2P 1R
3R
2R
Node
3
3P 1R3R
2R3R

Node
2
Multiple indices
Node
1
1P 2P2R
Node
3
3P 1R3R
PUT /news?pretty
index:
number_of_shards:3
number_of_replicas:1
1N
P
2N
R
2N
P
3N
R
3N
P
1N
R

Node
2
Distributed indexing
Node
1
PUT /twitter/tweet/1
{….}
1P 2P2R
Node
3
3P 1R3R

Node
2
Distributed GET
Node
1
GET /twitter/tweet/1
1P 2P2R
Node
3
3P 1R3R

Node
2
Distributed search
Node
1
GET /twitter/_search?q=kimchy
1P 2P2R
Node
3
3P 1R3R

Update document
PUT the document again or…

How full text search
works?
Search for: “berlin tweet”

Inverted index
1. Separate the string into words
2. Create sorted unique list
3. Specify which documents contains this terms
TERMS DOC 1 DOC 2 DOC 3
berlin X
looking X
tweet X X
presentation
s
X
elastic X X
trying X

Analysis
Tokenization + Normalization
or
tokenizer + token filters (>=0)

More features
DSL Query language
Facets/Aggregation API
Aliasing
Percolating
GEO searching
Attachments
s.o.

Video resources
http://www.youtube.com/watch?v=fEsmydn747c
http://www.youtube.com/watch?v=lpZ6ZajygDY
http://www.youtube.com/watch?v=52G5ZzE0XpY
http://www.elasticsearch.org/videos/

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Today the market is awash with options available for developers to consume content using the APIs. Some go as far as describing their offering as a CMS without the bad parts, where as some choose to provide content using a data centric API platform. All of this while the classic Content Management System players are opening up their core via APIs and modernising their technical platforms. Is there a silver bullet for Content APIs? Let's find out! Original presentation format available on Sway: https://sway.com/YIZfYDgcQyJwcmWI

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Drupal and Elasticsearch

1. Hi

2. What we are going to talk? • Elasticsearch technology - http://www.elasticsearch.org • What is Elasticsearch? • How it works? • Elasticsearch and Drupal – Demo http://www.drupal.org/project/elasticsearch_connector

3. Who made Elasticsearch? • Shay Banon • http://www.kimchy.org/ • https://github.com/kimchy • https://twitter.com/kimchy/

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6. How to install it?

7. How to install it?

8. How to install it?

9. If using Chrome? Sense

10. Indices API – Create index index

11. Node 2 How distributed works? Node 1 PUT /twitter index: number_of_shards:3 number_of_replicas:1 1P 2P 3P 2P 1R 3R 2R Node 3 3P 1R3R 2R3R

12. Node 2 Multiple indices Node 1 1P 2P2R Node 3 3P 1R3R PUT /news?pretty index: number_of_shards:3 number_of_replicas:1 1N P 2N R 2N P 3N R 3N P 1N R

13. Index API - Request index type id

14. Node 2 Distributed indexing Node 1 PUT /twitter/tweet/1 {….} 1P 2P2R Node 3 3P 1R3R

15. Index API - Response

16. Get API - Req and Res

17. Node 2 Distributed GET Node 1 GET /twitter/tweet/1 1P 2P2R Node 3 3P 1R3R

18. Search API - Request

19. Node 2 Distributed search Node 1 GET /twitter/_search?q=kimchy 1P 2P2R Node 3 3P 1R3R

20. Update document PUT the document again or…

21. Delete document

22. Delete index

23. How full text search works? Search for: “berlin tweet”

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28. Elasticsearch and Drupal

29. Drupal Demo time!

30. Roadmap

31. Thank you! Questions ?

Drupal and Elasticsearch

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