ElasticSearch mappings define how documents and their FIELDS are indexed and stored in ElasticSearch databases or ElasticSearch DBs. This DEFINES the types and formats of the fields that appear in the documents. As a result, MAPPING can have a significant impact on how Elasticsearch searches for and stores data. After creating an index, we MUST define the mapping. An incorrect preliminary definition and mapping might lead to incorrect search results.

Types of mapping

• Static mapping: Users perform static mappings when they create an index. We use static mappings to define data types and indexes. It is easy to define fields and their types when creating an index.
• Dynamic mapping: Elasticsearch automatically creates dynamic mappings for the tables. The dynamic mapping of Elasticsearch comes in handy when we need to store extra attributes on documents. It is not always necessary to configure field names and types when indexing documents, as these will be created automatically by Elasticsearch based on any predefined rules.