2015-06-22 11:30:42 -04:00
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[[search-aggregations-pipeline-cumulative-sum-aggregation]]
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=== Cumulative Sum Aggregation
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2016-08-12 18:42:19 -04:00
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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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2017-05-01 13:30:51 -04:00
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// NOTCONSOLE
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2019-04-30 10:19:09 -04:00
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[[cumulative-sum-params]]
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.`cumulative_sum` Parameters
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[options="header"]
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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 |`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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2019-09-05 10:11:25 -04:00
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[source,console]
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--------------------------------------------------
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POST /sales/_search
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{
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"size": 0,
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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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[7.x Backport] Force selection of calendar or fixed intervals (#41906)
The date_histogram accepts an interval which can be either a calendar
interval (DST-aware, leap seconds, arbitrary length of months, etc) or
fixed interval (strict multiples of SI units). Unfortunately this is inferred
by first trying to parse as a calendar interval, then falling back to fixed
if that fails.
This leads to confusing arrangement where `1d` == calendar, but
`2d` == fixed. And if you want a day of fixed time, you have to
specify `24h` (e.g. the next smallest unit). This arrangement is very
error-prone for users.
This PR adds `calendar_interval` and `fixed_interval` parameters to any
code that uses intervals (date_histogram, rollup, composite, datafeed, etc).
Calendar only accepts calendar intervals, fixed accepts any combination of
units (meaning `1d` can be used to specify `24h` in fixed time), and both
are mutually exclusive.
The old interval behavior is deprecated and will throw a deprecation warning.
It is also mutually exclusive with the two new parameters. In the future the
old dual-purpose interval will be removed.
The change applies to both REST and java clients.
2019-05-20 12:07:29 -04:00
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"calendar_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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// TEST[setup:sales]
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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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2019-09-06 16:09:09 -04:00
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[source,console-result]
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--------------------------------------------------
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{
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"took": 11,
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"timed_out": false,
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"_shards": ...,
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"hits": ...,
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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": 550.0
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},
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"cumulative_sales": {
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"value": 550.0
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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": 60.0
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},
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"cumulative_sales": {
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"value": 610.0
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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": 375.0
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},
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"cumulative_sales": {
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"value": 985.0
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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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// TESTRESPONSE[s/"took": 11/"took": $body.took/]
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// TESTRESPONSE[s/"_shards": \.\.\./"_shards": $body._shards/]
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// TESTRESPONSE[s/"hits": \.\.\./"hits": $body.hits/]
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