Introduction to Elasticsearch — That Conference

Transcript

1. INTRODUCTION TO ELASTICSEARCH Shaunak Kashyap • • Developer Advocate at @shaunak Elastic
2. WHY USE ELASTICSEARCH?
3. Full text search
4. Structured search
5. Faceted navigation
6. Analytics
7. FEATURES Easy to get started — , extract, run! Scalable — just add or remove nodes as needed HTTP API Supported clients for .NET, Node.js, ..., even Perl ☻ download Well-documented
8. SOME CONCEPTS Document The unit of data fed into Elasticsearch, in JSON format Index A collection of documents stored in Elasticsearch Type The category of the document within an index { " f r o m " : " t o n y @ s t a r k . c o m " , " t o " : [ " t h o r @ a v e n g e r s . o r g " , " n a t a s h a @ a v e n g e r s . o r g " ] , " s u b j e c t " : " I n f i n i t y S t o n e s " , " b o d y " : " . . . " }
11. MORE CONCEPTS Shard A part of an index, consisting of a subset of documents in that index Node A running Elasticsearch process Cluster A collection of nodes that can communicate with each other and share the same c l u s t e r . n a m e
13. A CLUSTER OF ONE NODE C : \ e l a s t i c s e a r c h - 1 . 7 . 0 > b i n \ e l a s t i c s e a r c h
14. CREATING AN INDEX P U T / t w i t t e r { " s e t t i n g s " : { " n u m b e r _ o f _ s h a r d s " : 3 , " n u m b e r _ o f _ r e p l i c a s " : 1 } }
15. ADD ANOTHER NODE C : \ e l a s t i c s e a r c h - 1 . 7 . 0 > b i n \ e l a s t i c s e a r c h
16. SCALING HORIZONTALLY C : \ e l a s t i c s e a r c h - 1 . 7 . 0 > b i n \ e l a s t i c s e a r c h
17. LOSE A NODE C : \ e l a s t i c s e a r c h - 1 . 7 . 0 > b i n \ e l a s t i c s e a r c h . . . C t r l - C
18. INDEXING A DOCUMENT P U T / t w i t t e r / t w e e t / 3 1 1 3 3 5 3 6 1 1 6 9 1 9 5 0 0 9 { " m e s s a g e " : " I n s t a r t u p w e a r e p r a c t i c e O u t a g e D r i v e n I n f r a s t r u c t u r e . " , " @ t i m e s t a m p " : " 2 0 1 3 - 0 3 - 1 2 T 0 4 : 3 8 : 2 9 . 0 0 0 Z " }
19. SEARCHING FOR DOCUMENTS G E T t w i t t e r / _ s e a r c h ? q = d e v o p s QUERY PHASE
20. FETCH PHASE
21. TODAY WE LEARNED Types of applications that can be built with Elasticsearch Key features of Elasticsearch Some sample index, search, and aggregations queries Key concepts How clusters work under the hood How indexing and searching work under the hood
22. THANK YOU Shaunak Kashyap • Developer Advocate at • Elastic @shaunak https://discuss.elastic.co/