165 lines
4.1 KiB
Plaintext
165 lines
4.1 KiB
Plaintext
[[search-aggregations-metrics-sum-aggregation]]
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=== Sum Aggregation
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A `single-value` metrics aggregation that sums up numeric values that are extracted from the aggregated documents. These values can be extracted either from specific numeric fields in the documents, or be generated by a provided script.
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Assuming the data consists of documents representing sales records we can sum
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the sale price of all hats with:
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[source,js]
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--------------------------------------------------
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POST /sales/_search?size=0
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{
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"query" : {
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"constant_score" : {
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"filter" : {
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"match" : { "type" : "hat" }
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}
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}
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},
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"aggs" : {
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"hat_prices" : { "sum" : { "field" : "price" } }
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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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Resulting in:
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[source,js]
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--------------------------------------------------
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{
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...
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"aggregations": {
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"hat_prices": {
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"value": 450.0
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}
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}
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}
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--------------------------------------------------
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// TESTRESPONSE[s/\.\.\./"took": $body.took,"timed_out": false,"_shards": $body._shards,"hits": $body.hits,/]
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The name of the aggregation (`intraday_return` above) also serves as the key by which the aggregation result can be retrieved from the returned response.
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==== Script
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We could also use a script to fetch the sales price:
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[source,js]
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--------------------------------------------------
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POST /sales/_search?size=0
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{
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"query" : {
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"constant_score" : {
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"filter" : {
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"match" : { "type" : "hat" }
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}
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}
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},
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"aggs" : {
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"hat_prices" : {
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"sum" : {
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"script" : {
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"source": "doc.price.value"
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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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This will interpret the `script` parameter as an `inline` script with the `painless` script language and no script parameters. To use a stored script use the following syntax:
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[source,js]
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--------------------------------------------------
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POST /sales/_search?size=0
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{
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"query" : {
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"constant_score" : {
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"filter" : {
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"match" : { "type" : "hat" }
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}
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}
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},
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"aggs" : {
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"hat_prices" : {
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"sum" : {
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"script" : {
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"id": "my_script",
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"params" : {
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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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}
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}
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--------------------------------------------------
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// CONSOLE
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// TEST[setup:sales,stored_example_script]
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===== Value Script
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It is also possible to access the field value from the script using `_value`.
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For example, this will sum the square of the prices for all hats:
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[source,js]
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--------------------------------------------------
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POST /sales/_search?size=0
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{
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"query" : {
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"constant_score" : {
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"filter" : {
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"match" : { "type" : "hat" }
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}
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}
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},
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"aggs" : {
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"square_hats" : {
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"sum" : {
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"field" : "price",
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"script" : {
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"source": "_value * _value"
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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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==== Missing value
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The `missing` parameter defines how documents that are missing a value should
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be treated. By default documents missing the value will be ignored but it is
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also possible to treat them as if they had a value. For example, this treats
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all hat sales without a price as being `100`.
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[source,js]
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--------------------------------------------------
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POST /sales/_search?size=0
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{
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"query" : {
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"constant_score" : {
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"filter" : {
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"match" : { "type" : "hat" }
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}
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}
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},
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"aggs" : {
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"hat_prices" : {
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"sum" : {
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"field" : "price",
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"missing": 100 <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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