109 lines
3.0 KiB
Plaintext
109 lines
3.0 KiB
Plaintext
[[search-aggregations-pipeline-cumulative-sum-aggregation]]
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=== Cumulative Sum Aggregation
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coming[2.0.0-beta1]
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experimental[]
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A parent pipeline aggregation which calculates the cumulative sum of a specified metric in a parent histogram (or date_histogram)
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aggregation. The specified metric must be numeric and the enclosing histogram must have `min_doc_count` set to `0` (default
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for `histogram` aggregations).
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==== Syntax
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A `cumulative_sum` aggregation looks like this in isolation:
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[source,js]
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--------------------------------------------------
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{
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"cumulative_sum": {
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"buckets_path": "the_sum"
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}
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}
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--------------------------------------------------
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.`cumulative_sum` Parameters
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|===
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|Parameter Name |Description |Required |Default Value
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|`buckets_path` |The path to the buckets we wish to find the cumulative sum for (see <<buckets-path-syntax>> for more
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details) |Required |
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|`format` |format to apply to the output value of this aggregation |Optional, defaults to `null` |
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|===
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The following snippet calculates the cumulative sum 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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"cumulative_sales": {
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"cumulative_sum": {
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"buckets_path": "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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}
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--------------------------------------------------
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<1> `buckets_path` instructs this cumulative sum aggregation to use the output of the `sales` aggregation for the cumulative sum
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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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"cumulative_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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"cumulative_sales": {
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"value": 610
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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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"cumulative_sales": {
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"value": 985
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}
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}
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]
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}
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}
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}
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--------------------------------------------------
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