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Aggregations: min_bucket aggregation
An aggregation to calculate the minimum value in a set of buckets. Closes #9999
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include::reducer/derivative-aggregation.asciidoc[]
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include::reducer/max-bucket-aggregation.asciidoc[]
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include::reducer/min-bucket-aggregation.asciidoc[]
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include::reducer/movavg-aggregation.asciidoc[]
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[[search-aggregations-reducer-min-bucket-aggregation]]
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=== Max Bucket Aggregation
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A sibling reducer aggregation which identifies the bucket(s) with the minimum value of a specified metric in a sibling aggregation
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and outputs both the value and the key(s) of the bucket(s). The specified metric must be numeric and the sibling aggregation must
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be a multi-bucket aggregation.
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The following snippet calculates the minimum of the total monthly `sales`:
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[source,js]
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--------------------------------------------------
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{
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"aggs" : {
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"sales_per_month" : {
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"date_histogram" : {
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"field" : "date",
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"interval" : "month"
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},
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"aggs": {
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"sales": {
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"sum": {
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"field": "price"
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}
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}
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}
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},
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"min_monthly_sales": {
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"min_bucket": {
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"buckets_paths": "sales_per_month>sales" <1>
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}
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}
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}
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}
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--------------------------------------------------
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<1> `bucket_paths` instructs this max_bucket aggregation that we want the minimum value of the `sales` aggregation in the
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`sales_per_month` date histogram.
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And the following may be the response:
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[source,js]
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--------------------------------------------------
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{
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"aggregations": {
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"sales_per_month": {
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"buckets": [
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{
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"key_as_string": "2015/01/01 00:00:00",
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"key": 1420070400000,
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"doc_count": 3,
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"sales": {
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"value": 550
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}
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},
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{
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"key_as_string": "2015/02/01 00:00:00",
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"key": 1422748800000,
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"doc_count": 2,
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"sales": {
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"value": 60
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}
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},
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{
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"key_as_string": "2015/03/01 00:00:00",
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"key": 1425168000000,
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"doc_count": 2,
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"sales": {
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"value": 375
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}
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}
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]
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},
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"min_monthly_sales": {
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"keys": ["2015/02/01 00:00:00"], <1>
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"value": 60
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}
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}
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}
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--------------------------------------------------
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<1> `keys` is an array of strings since the minimum value may be present in multiple buckets
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