Learning Elastic Stack 6.0

Core concepts

Relational databases have concepts such as rows, columns, tables, and schema. Elasticsearch and other document-oriented stores are based on different abstractions. Elasticsearch is a document-oriented store. JSON documents are first class citizens in Elasticsearch. These JSON documents are organized within different types and indexes. We will look at the following core abstractions of Elasticsearch:

• Index
• Type
• Document
• Cluster
• Node
• Shards and replicas
• Mappings and types
• Inverted index

Let us start learning these with an example:

PUT /catalog/product/1{    "sku": "SP000001",    "title": "Elasticsearch for Hadoop",    "description": "Elasticsearch for Hadoop",    "author": "Vishal Shukla",    "ISBN": "1785288997",    "price": 26.99}

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