2015-06-25 09:22:15 -04:00
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[[search-aggregations-pipeline-bucket-selector-aggregation]]
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=== Bucket Selector Aggregation
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2016-08-12 18:42:19 -04:00
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A parent pipeline aggregation which executes a script which determines whether the current bucket will be retained
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in the parent multi-bucket aggregation. The specified metric must be numeric and the script must return a boolean value.
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If the script language is `expression` then a numeric return value is permitted. In this case 0.0 will be evaluated as `false`
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and all other values will evaluate to true.
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2018-01-10 11:59:01 -05:00
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NOTE: The bucket_selector aggregation, like all pipeline aggregations, executes after all other sibling aggregations. This means that
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using the bucket_selector aggregation to filter the returned buckets in the response does not save on execution time running the aggregations.
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==== Syntax
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A `bucket_selector` aggregation looks like this in isolation:
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[source,js]
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--------------------------------------------------
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{
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"bucket_selector": {
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"buckets_path": {
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"my_var1": "the_sum", <1>
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"my_var2": "the_value_count"
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},
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"script": "params.my_var1 > params.my_var2"
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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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<1> Here, `my_var1` is the name of the variable for this buckets path to use in the script, `the_sum` is the path to
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the metrics to use for that variable.
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2019-04-30 10:19:09 -04:00
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[[bucket-selector-params]]
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.`bucket_selector` 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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|`script` |The script to run for this aggregation. The script can be inline, file or indexed. (see <<modules-scripting>>
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for more details) |Required |
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|`buckets_path` |A map of script variables and their associated path to the buckets we wish to use for the variable
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(see <<buckets-path-syntax>> for more details) |Required |
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|`gap_policy` |The policy to apply when gaps are found in the data (see <<gap-policy>> for more
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details)|Optional |`skip`
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|===
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2018-01-18 09:28:51 -05:00
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The following snippet only retains buckets where the total sales for the month is more than 200:
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[source,js]
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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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"total_sales": {
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"sum": {
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"field": "price"
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}
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},
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"sales_bucket_filter": {
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"bucket_selector": {
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"buckets_path": {
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"totalSales": "total_sales"
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},
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"script": "params.totalSales > 200"
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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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// CONSOLE
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// TEST[setup:sales]
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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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"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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"total_sales": {
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"value": 550.0
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}
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},<1>
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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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"total_sales": {
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"value": 375.0
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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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<1> Bucket for `2015/02/01 00:00:00` has been removed as its total sales was less than 200
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