| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166 | [[search-aggregations-metrics-sum-aggregation]]=== Sum AggregationA `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.Assuming the data consists of documents representing sales records we can sumthe sale price of all hats with:[source,js]--------------------------------------------------POST /sales/_search?size=0{    "query" : {        "constant_score" : {            "filter" : {                "match" : { "type" : "hat" }            }        }    },    "aggs" : {        "hat_prices" : { "sum" : { "field" : "price" } }    }}--------------------------------------------------// CONSOLE// TEST[setup:sales]Resulting in:[source,js]--------------------------------------------------{    ...    "aggregations": {        "hat_prices": {           "value": 450.0        }    }}--------------------------------------------------// TESTRESPONSE[s/\.\.\./"took": $body.took,"timed_out": false,"_shards": $body._shards,"hits": $body.hits,/]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.==== ScriptWe could also use a script to fetch the sales price:[source,js]--------------------------------------------------POST /sales/_search?size=0{    "query" : {        "constant_score" : {            "filter" : {                "match" : { "type" : "hat" }            }        }    },    "aggs" : {        "hat_prices" : {            "sum" : {                "script" : {                   "inline": "doc.price.value"                }            }        }    }}--------------------------------------------------// CONSOLE// TEST[setup:sales]This will interpret the `script` parameter as an `inline` script with the `painless` script language and no script parameters. To use a file script use the following syntax:[source,js]--------------------------------------------------POST /sales/_search?size=0{    "query" : {        "constant_score" : {            "filter" : {                "match" : { "type" : "hat" }            }        }    },    "aggs" : {        "hat_prices" : {            "sum" : {                "script" : {                    "file": "my_script",                    "params" : {                        "field" : "price"                    }                }            }        }    }}--------------------------------------------------// CONSOLE// TEST[setup:sales]TIP: for indexed scripts replace the `file` parameter with an `id` parameter.===== Value ScriptIt is also possible to access the field value from the script using `_value`.For example, this will sum the square of the prices for all hats:[source,js]--------------------------------------------------POST /sales/_search?size=0{    "query" : {        "constant_score" : {            "filter" : {                "match" : { "type" : "hat" }            }        }    },    "aggs" : {        "square_hats" : {            "sum" : {                "field" : "price",                "script" : {                    "inline": "_value * _value"                }            }        }    }}--------------------------------------------------// CONSOLE// TEST[setup:sales]==== Missing valueThe `missing` parameter defines how documents that are missing a value shouldbe treated. By default documents missing the value will be ignored but it isalso possible to treat them as if they had a value. For example, this treatsall hat sales without a price as being `100`.[source,js]--------------------------------------------------POST /sales/_search?size=0{    "query" : {        "constant_score" : {            "filter" : {                "match" : { "type" : "hat" }            }        }    },    "aggs" : {        "hat_prices" : {            "sum" : {                "field" : "price",                "missing": 100 <1>            }        }    }}--------------------------------------------------// CONSOLE// TEST[setup:sales]
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