Elasticsearch 7 Quick Start Guide

Pre-index data

Leveraging patterns into queries optimizes the indexed data. For example, if all documents have a size field and most queries have range aggregations on a list of ranges, then the process can be performed faster by pre-indexing the ranges into the index with term aggregations:

PUT index/_doc/1{  "designation": "Sports shoes",  "size": 8}

After indexing the documents, we can search them using the following query:

GET index/_search{  "aggs": {    "size_ranges": {      "range": {        "field": "size",        "ranges": [          {            "to": 6          },          {            "from": 6,            "to": 12          },          {            "from": 12          }        ]      }    }  }}

Using a keyword, the document can be furnished with size_range at index time:

PUT index{  "mappings": {    "properties": {      "size_range": {        "type": "keyword"      }    }  }}

The following ...