What are Metric Aggregations?
Metric aggregations in Elasticsearch calculate metrics based on the values of numeric fields in your documents. Unlike bucket aggregations, which group documents into buckets, metric aggregations work directly on the numeric values and return statistical metrics. They are essential for summarizing large datasets and deriving insights such as averages, minimums, maximums, sums, and more.
Metric Aggregation in Elasticsearch
Elasticsearch is a powerful tool not just for search but also for performing complex data analytics. Metric aggregations are a crucial aspect of this capability, allowing users to compute metrics like averages, sums, and more on numeric fields within their data.
This guide will delve into metric aggregations in Elasticsearch, explaining what they are, how they work, and providing detailed examples to illustrate their use.