Extended Stats Aggregation
The extended stats aggregation provides additional statistics such as variance, standard deviation, and sum of squares. Let’s get the extended stats for the price field.
Query
GET /products/_search
{
"size": 0,
"aggs": {
"extended_price_stats": {
"extended_stats": {
"field": "price"
}
}
}
}
Output
{
"aggregations": {
"extended_price_stats": {
"count": 10,
"min": 100.0,
"max": 1000.0,
"avg": 550.0,
"sum": 5500.0,
"sum_of_squares": 3850000.0,
"variance": 202500.0,
"std_deviation": 450.0
}
}
}
In this example, we get extended statistics for the price field, including variance and standard deviation.
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.
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