--- navigation_title: "Max" mapped_pages: - https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations-metrics-max-aggregation.html --- # Max aggregation [search-aggregations-metrics-max-aggregation] A `single-value` metrics aggregation that keeps track and returns the maximum value among the numeric values extracted from the aggregated documents. ::::{note} 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 max price value across all documents ```console POST /sales/_search?size=0 { "aggs": { "max_price": { "max": { "field": "price" } } } } ``` Response: ```console-result { ... "aggregations": { "max_price": { "value": 200.0 } } } ``` 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. ## Script [_script_6] If you need to get the `max` of something more complex than a single field, run an aggregation on a [runtime field](docs-content://manage-data/data-store/mapping/runtime-fields.md). ```console POST /sales/_search { "size": 0, "runtime_mappings": { "price.adjusted": { "type": "double", "script": """ double price = doc['price'].value; if (doc['promoted'].value) { price *= 0.8; } emit(price); """ } }, "aggs": { "max_price": { "max": { "field": "price.adjusted" } } } } ``` ## Missing value [_missing_value_10] 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. ```console POST /sales/_search { "aggs" : { "grade_max" : { "max" : { "field" : "grade", "missing": 10 <1> } } } } ``` 1. Documents without a value in the `grade` field will fall into the same bucket as documents that have the value `10`. ## Histogram fields [search-aggregations-metrics-max-aggregation-histogram-fields] When `max` is computed on [histogram fields](/reference/elasticsearch/mapping-reference/histogram.md), the result of the aggregation is the maximum of all elements in the `values` array. Note, that the `counts` array of the histogram is ignored. For example, for the following index that stores pre-aggregated histograms with latency metrics for different networks: ```console PUT metrics_index { "mappings": { "properties": { "latency_histo": { "type": "histogram" } } } } PUT metrics_index/_doc/1?refresh { "network.name" : "net-1", "latency_histo" : { "values" : [0.1, 0.2, 0.3, 0.4, 0.5], "counts" : [3, 7, 23, 12, 6] } } PUT metrics_index/_doc/2?refresh { "network.name" : "net-2", "latency_histo" : { "values" : [0.1, 0.2, 0.3, 0.4, 0.5], "counts" : [8, 17, 8, 7, 6] } } POST /metrics_index/_search?size=0&filter_path=aggregations { "aggs" : { "max_latency" : { "max" : { "field" : "latency_histo" } } } } ``` The `max` aggregation will return the maximum value of all histogram fields: ```console-result { "aggregations": { "max_latency": { "value": 0.5 } } } ```