Downloaded 28 times
More Related Content
![[Srijan Wednesday Webinar] Easy Performance Wins for Your Rails App](https://cdn.slidesharecdn.com/ss_thumbnails/rubyperformancewebinar-160811073147-thumbnail.jpg?width=640&height=640&fit=bounds)
Similar to Drupal and Elasticsearch
Drupal and Elasticsearch
- 1.
- 2. What we aregoing 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? • ShayBanon • http://www.kimchy.org/ • https://github.com/kimchy • https://twitter.com/kimchy/
- 4. Who is usingit?
- 5. Why they useit? • 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
- 6.
- 7.
- 8.
- 9.
- 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 3P1R3R 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 {….} 1P2P2R 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 1P2P2R Node 3 3P 1R3R
- 18. Search API -Request
- 19. Node 2 Distributed search Node 1 GET /twitter/_search?q=kimchy 1P2P2R Node 3 3P 1R3R
- 20. Update document PUT thedocument again or…
- 21.
- 22.
- 23. How full textsearch works? Search for: “berlin tweet”
- 24. Inverted index 1. Separatethe 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
- 25. Analysis Tokenization + Normalization or tokenizer+ token filters (>=0)
- 26. More features DSL Querylanguage Facets/Aggregation API Aliasing Percolating GEO searching Attachments s.o.
- 27.
- 28.
- 29.
- 30.
- 31.