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/
- 4. Who is using it?
- 5. 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
- 6. How to install it?
- 7. How to install it?
- 8. How to install it?
- 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”
- 24. 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
- 25. Analysis Tokenization + Normalization or tokenizer + token filters (>=0)
- 26. More features DSL Query language Facets/Aggregation API Aliasing Percolating GEO searching Attachments s.o.
- 30. Roadmap