Elastic search adaptto2014
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Vivek Sachdeva gave a presentation on integrating Elasticsearch with Adobe Experience Manager (AEM). He discussed approaches to indexing AEM content in Elasticsearch, including push and pull indexing using a replication agent. He demonstrated features like faceting, free text search, geo faceting, and advanced aggregations. The code for integrating AEM with Elasticsearch is available on GitHub.
![Advanced Aggregation
aggregations: {
group_by_state: {
buckets: [
{ key: wv
doc_count: 1
average_age: {
value: 22
} }
{ key: al
doc_count: 2
average_age: {
value: 22
} }
]
…...............
Group all the employees
of an MNC by project
location and find
average age of each
group.
adaptTo() 2014 29](https://image.slidesharecdn.com/elasticsearch-adaptto2014-140923134635-phpapp02/85/Elastic-search-adaptto2014-29-320.jpg)
Elastic search adaptto2014
- 1. APACHE SLING & FRIENDS TECH MEETUP BERLIN, 22-24 SEPTEMBER 2014 Integrating ElasticSearch with AEM Vivek Sachdeva, Intelligrape Software @vivek_sach
- 2. Agenda Introduction to ElasticSearch Analyzing Data Integration with AEM Approaches Considered Features Integrated Extension Points adaptTo() 2014 2
- 3. About Me :) Started career as Java Developer in 2010 Worked on Groovy and Grails Currently working as AEM(plus Groovy) Developer Intelligrape Software [email protected] in.linkedin.com/pub/vivek-sachdeva/20/192/934/ adaptTo() 2014 3
- 4. Elastic Search – An Introduction adaptTo() 2014 4
- 5. What & Why?? ElasticSearch is a distributed, RESTful, free/open source search server Based on Apache Lucene Developed by Shay Banon Latest Version – 1.2 Rich support for Perl, Java, Javascript, Ruby, Node and a lot more clients adaptTo() 2014 5
- 6. What & Why?? Document Oriented and Schema free Support for multi-tenancy Support for dynamic schema update High Performance Just like JCR Support for complex(nested) documents that can go to any level adaptTo() 2014 6
- 7. ElasticSearch Server View adaptTo() 2014 7
- 8. Index Creation adaptTo() 2014 8
- 9. Fail Safe adaptTo() 2014 9
- 10. Analyzing Data adaptTo() 2014 10
- 11. How to Index?? First step is to identify the relevant data Every novel is a mystery novel. Strangely I have not read any. adaptTo() 2014 11
- 12. Bad Indexing Every novel is a mystery novel. Strangely I have not read any. adaptTo() 2014 12
- 13. Smart Indexing!! adaptTo() 2014 13
- 14. Integrating with AEM adaptTo() 2014 14
- 15. What All is Needed?? ElasticSearch Server CQ instance.. :) Front end for browsing and interacting with an Elastic Search cluster. (Optional) http://mobz.github.io/elasticsearch-head/ Thats it... adaptTo() 2014 15
- 16. ElasticSearch dependency Available in Maven repository <dependency> <groupId>org.elasticsearch</groupId> <artifactId>elasticsearch</artifactId> <version>1.2.0</version> </dependency> adaptTo() 2014 16
- 17. Approaches Considered adaptTo() 2014 17
- 18. Push & Pull Indexing Push Indexing CQ Server pushes data to Elastic Server whenever needed Pull Indexing ElasticSearch Server pulls data at regular intervals and indexes it adaptTo() 2014 18
- 19. Push Indexing.. Using Replication Agent adaptTo() 2014 19
- 20. Push Indexing... Using Replication Agent Create Serialization Type and setup a replication agent. @Component(label = "Elastic Replication Content Builder", description = "This servlet replicates data to Elastic", immediate = true, enabled = true, metatype = true) @Service(ContentBuilder.class) class ElasticReplicationContentBuilderImpl implements ContentBuilder{ //Override create method } adaptTo() 2014 20
- 21. Push Indexing... Using Replication Agent Pros: Data can be pushed as and when needed. adaptTo() 2014 21
- 22. Pull Indexing adaptTo() 2014 22
- 23. Features Integrated adaptTo() 2014 23
- 24. Features Integrated Basic Aggregation Tag based faceting Free Text Search Finding all pages in order of relevancy based on some text adaptTo() 2014 24
- 25. Facet adaptTo() 2014 25
- 26. DEMO adaptTo() 2014 26
- 27. More Cool Features/Extension Points... adaptTo() 2014 27
- 28. Geo Facet Lets say we need to find all restaurants that are within 1 mile adaptTo() 2014 28
- 29. Advanced Aggregation aggregations: { group_by_state: { buckets: [ { key: wv doc_count: 1 average_age: { value: 22 } } { key: al doc_count: 2 average_age: { value: 22 } } ] …............... Group all the employees of an MNC by project location and find average age of each group. adaptTo() 2014 29
- 30. Percolator – Search.... Reversed..... Tag all mails from Finance as important adaptTo() 2014 30
- 31. Ease of Clustering adaptTo() 2014 31
- 32. DEMO adaptTo() 2014 32
- 33. Appendix adaptTo() 2014 33
- 34. Appendix http://www.elasticsearch.com/ http://www.elasticsearch.org/guide/ https://forums.adobe.com Google :) adaptTo() 2014 34
- 35. Where is the code?? ● https://github.com/viveksachdeva /elasticsearch-cq.git adaptTo() 2014 35