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When to use min aggregation and max aggregation?


Asked by Grace Rose on Nov 28, 2021 FAQ



The min and max aggregation operate on the double representation of the data. As a consequence, the result may be approximate when running on longs whose absolute value is greater than 2^53. Computing the min price value across all documents:
In addition,
A single-value metrics aggregation that keeps track and returns the maximum value among the numeric values extracted from the aggregated documents. The min and max aggregation operate on the double representation of the data. As a consequence, the result may be approximate when running on longs whose absolute value is greater than 2^53.
Subsequently, Examples of Aggregate functions are MIN (), MAX (), SUM (), COUNT (), AVG (), etc. Where function_name can be any one of the aggregate functions and expression contains column_names. MAX () is an aggregate function which returns the maximum value in a column.
Indeed,
If you need to get the max of something more complex than a single field, run an aggregation on a runtime field. The missing parameter defines how documents that are missing a value should be treated. By default they will be ignored but it is also possible to treat them as if they had a value.
Keeping this in consideration,
As can be seen, the name of the aggregation ( max_price above) also serves as the key by which the aggregation result can be retrieved from the returned response. The max aggregation can also calculate the maximum of a script. The example below computes the maximum price: