对于等文档
{
"_id" : "abc123",
"_score" : 3.7613528,
"_source" : {
"id" : "abc123",
"pricePeriods" : [{
"periodTo" : "2016-01-02",
"eur" : 1036,
"gbp" : 782,
"dkk" : 6880,
"sek" : 9025,
"periodFrom" : "2015-12-26",
"nok" : 8065
}, {
"periodTo" : "2016-06-18",
"eur" : 671,
"gbp" : 457,
"dkk" : 4625,
"sek" : 5725,
"periodFrom" : "2016-01-02",
"nok" : 5430
} ]
}
}
我想有一个高斯衰减函数得分的价格。
我试过这样的
"query" : {
"function_score" : {
"functions" : [{
"gauss" : {
"pricePeriods.dkk" : {
"origin" : "2500",
"scale" : "2500",
"decay" : 0.8
}
},
"filter" : {
"nested" : {
"filter" : {
"range" : {
"pricePeriods.periodTo" : {
"gte" : "2016-03-17T00:00:00.000"
}
}
},
"path" : "pricePeriods"
}
}
}
]
过滤器似乎找到了我想对其进行高斯运算的价格,但得到的分数总是1。
解释说
{ "value": 1,
"description": "min of:",
"details": [
{
"value": 1,
"description": "function score, score mode [multiply]",
"details": [
{
"value": 1,
"description": "function score, product of:",
"details": [
{
"value": 1,
"description": "match filter: ToParentBlockJoinQuery (+ConstantScore(pricePeriods.periodTo:[[32 30 31 36 2d 30 33 2d 31 37 54 30 30 3a 30 30 3a 30 30 2e 30 30 30] TO *]) #QueryWrapperFilter(_type:__pricePeriods))",
"details": []
},
{
"value": 1,
"description": "Function for field pricePeriods.dkk:",
"details": [
{
"value": 1,
"description": "exp(-0.5*pow(MIN[0.0],2.0)/1.4004437867889222E7)",
"details": []
}
]
}
]
}
]
}
我可以在这里看到,当高斯找不到场时,它显然会返回1。但问题是为什么它在嵌套文档中找不到字段,以及如何修复它。
gauss function
返回1的原因是,正如您所说,它找不到字段,因为它是nested
,您基本上需要将整个function_score
查询封装到nested query
中
{
"query": {
"nested": {
"path": "pricePeriods",
"query": {
"function_score": {
"functions": [
{
"gauss": {
"pricePeriods.dkk": {
"origin": "2500",
"scale": "2500",
"decay": 0.8
}
},
"filter": {
"range": {
"pricePeriods.periodTo": {
"gte": "2016-03-17T00:00:00.000"
}
}
}
}
]
}
}
}
}
}
这有帮助吗?