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ff4a2519f2
Relates https://github.com/elastic/elasticsearch/issues/19798 Removed experimental label from: * Painless * Diversified Sampler Agg * Sampler Agg * Significant Terms Agg * Terms Agg document count error and execution_hint * Cardinality Agg precision_threshold * Pipeline Aggregations * index.shard.check_on_startup * index.store.type (added warning) * Preloading data into the file system cache * foreach ingest processor * Field caps API * Profile API Added experimental label to: * Moving Average Agg Prediction Changed experimental to beta for: * Adjacency matrix agg * Normalizers * Tasks API * Index sorting Labelled experimental in Lucene: * ICU plugin custom rules file * Flatten graph token filter * Synonym graph token filter * Word delimiter graph token filter * Simple pattern tokenizer * Simple pattern split tokenizer Replaced experimental label with warning that details may change in the future: * Analysis explain output format * Segments verbose output format * Percentile Agg compression and HDR Histogram * Percentile Rank Agg HDR Histogram
113 lines
3.0 KiB
Plaintext
113 lines
3.0 KiB
Plaintext
[[search-aggregations-pipeline-avg-bucket-aggregation]]
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=== Avg Bucket Aggregation
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A sibling pipeline aggregation which calculates the (mean) average value of a specified metric in a sibling aggregation.
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The specified metric must be numeric and the sibling aggregation must be a multi-bucket aggregation.
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==== Syntax
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An `avg_bucket` aggregation looks like this in isolation:
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[source,js]
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--------------------------------------------------
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{
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"avg_bucket": {
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"buckets_path": "the_sum"
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}
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}
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--------------------------------------------------
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// NOTCONSOLE
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.`avg_bucket` 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 average for (see <<buckets-path-syntax>> for more
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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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|`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 average of the total monthly `sales`:
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[source,js]
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--------------------------------------------------
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POST /_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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"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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"avg_monthly_sales": {
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"avg_bucket": {
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"buckets_path": "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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// CONSOLE
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// TEST[setup:sales]
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<1> `buckets_path` instructs this avg_bucket aggregation that we want the (mean) average 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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"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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},
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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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},
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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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}
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]
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},
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"avg_monthly_sales": {
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"value": 328.33333333333333
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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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