What is Missing Aggregation?
Missing aggregation in Elasticsearch is used to find documents that do not contain a value for a specified field. This type of aggregation is useful when you want to count or analyze documents that are missing certain data. For instance, if you have an index of products and some of the products do not have a price, you can use a missing aggregation to find out how many products are missing this information.
Missing Aggregation in Elasticsearch
Elasticsearch is a powerful tool for full-text search and data analytics, and one of its core features is the aggregation framework. Aggregations allow you to summarize and analyze your data flexibly and efficiently.
Among the various types of aggregations available, the “missing” aggregation is particularly useful for dealing with incomplete data. This guide will explain what missing aggregation is, how it works, and provide detailed examples to help you understand its usage.