Elastic Search
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The document provides an overview of Elasticsearch, including its terminology, architecture, and functionalities such as indexing, querying, and deleting documents. Key concepts discussed include indices, types, and documents, along with their comparisons to relational databases. Additionally, it outlines installation procedures and configuration settings for setting up and running an Elasticsearch server.
Elastic Search
- 2. Contents ▪ Introduction ▪ Terminology – Index,Type, Document, Field – Comparison with Relational Database ▪ Architecture – Clusters, Nodes, Shards & Replicas ▪ Search – How it works? – Inverted Index ▪ Installation & Configuration – Setup & Run Elastic Server ▪ Elastic in Action – Indexing, Querying & Deleting
- 4. Terminology ▪ Index – Is means of storing different types of data. – Can span across one primary shard or multiple shards. – Identified by metadata field _index – An Index can contain multiple types
- 5. Terminology ▪ Type – A type is a convenient way to store a specific type of data within an index – Identified by metadata field _type
- 6. Terminology ▪ Document – A document is JSON object (set of ‘key-value’ pairs aka fields) ▪ _type ▪ _id ▪ _source
- 7. Terminology ▪ Field – Key ▪ type (data type) ▪ Format – Value ▪ Can hold scalar data (int, string values) or Nested structures like array or object
- 8. Terminology (Comparison with RDBMS) Id Status 1 Reserved 2 In House 3 Departed 1 Reserved
- 10. Search How Elastic Search Works? N N N N Cluster • Master Node • Multicast to find other nodes • Manage Cluster State • Assign Shards to Nodes
- 11. N N N N Search How Elastic Search Works? N N N Cluster Replica
- 12. Search Internode Communication • Sends parallel Queries to all nodes • Merges the full response • Response returned to the user N N N Cluster P2P Architecture Default Port 9300
- 13. Search Inverted Index Text Processing • Tokenize • Remove duplicates • Sort Math • Frequency Discover • Identify & List the documents
- 14. Search Doc # Contents 1 Fantastic Beasts and Where to FindThem 2 Beasts of the SouthernWild 3 The Wild Life 4 Life of a Pi Term Frequency Documents and 2 1 beasts 2 1,2 fantastic 1 1 find 1 1 life 2 3,4 of 2 2,4 pi 1 4 southern 1 2 the 2 2,3 them 1 1 to 1 1 where 1 1 wild 2 2,3 Inverted Index
- 15. Installation ▪ Download from www.elastic.co/downloads/elasticsearch – Extract to your desired location ▪ Configuration – Default port 9200 – Configure ▪ Config file location “~/elasticsearch-x.y.z/config/elasticsearch.yml“ ▪ node name ▪ port ▪ path for log files etc.,
- 16. Run Elastic Server ▪ Go to “~/elasticsearch-2.4.0/bin/“ ▪ Double click “elasticsearch.bat”
- 17. Indexing Syntax POST /{index}/{type}/{optional-id} { “key-1": "value", "key-2": "value", ... "key-n": "value", } Example POST /sampleindex/sampletype/ { "guestname": "Mr.J", "arrivaldate": "2016/12/12", "departuredate": "2016/12/14" }
- 18. Querying Syntax Example Search GET /{index}/_search GET demo/_search Search by type & id GET /{index}/{type}/{id} GET demo/reservation/1 Search by property GET /{index}/_search?q={propName}=“value" GET /demo/_search?q=guestname="Mr.J" Free search across index GET /{index}/_search?q=‘value' GET demo/reservation/1
- 19. Deleting a Document DELETE /{Index}/{Type}/{Id} Eg: DELETE demo/reservation/1
- 20. Review ▪ Introduction ▪ Terminology – Index,Type, Document, Field – Comparison with Relational Database ▪ Architecture – Clusters, Nodes, Shards & Replicas ▪ Search – How it works? – Inverted Index ▪ Installation & Configuration – Setup & Run Elastic Server ▪ Elastic in Action – Indexing, Querying & Deleting