Elasticsearch
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Elasticsearch is a search server based on Lucene that provides distributed, full-text search across a cluster of nodes. It uses JSON documents stored in indexes which can be queried in near real-time. Documents are split into shards and replicas can be made for fault tolerance and scalability. Mappings define the schema for documents within an index.
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Elasticsearch
- 2. What is Elasticsearch What is Lucene Basic Concepts Near real time (NRT) Cluster Node Index Type Document Shards & Replicas Mapping Agenda
- 3. Elasticsearch Elasticsearch is search server based on Lucene. It’s provide a distributed, multitenant capable full-text search engine with RESTful web interface and schema-free json documents. Elasticsearch developed in java and is released as open source under the terms of the Apache License
- 4. Lucene Lucene is a high-performance, fullfeatured text search engine library written entirely in Java. It is a technology suitable for nearly any application that requires full-text search, especially cross- platform
- 5. Basic Concepts ●Near real time (NRT) ●Cluster ●Node ●Index ●Type ●Document ●Shards & Replicas
- 6. Near real time (NRT) Elasticsearch is a near real time search platform. What this means is there is a slight latency (normally one second) from the time you index a document until the time it becomes searchable.
- 7. Cluster, Node, Index, Document, Type
- 11. Mapping 1/2 Define how a document should be mapped (similar to schema): searchable fields, tokenization, storage. Explicit mapping is defined on an index/type level A default mapping is automatically created.
- 12. Mapping 2/2 ● Core types: string, integer/long, float/double, boolean, and null ● Others typs: Array, Object, Nested, IP, GeoPoint, GeoShape Example:
- 13. Thank You