我需要修改一个使用.Nest构建SearchDescriptor的方法，以便得分更高 具有合同价格（价值为零）的商品的产品搜索结果。
我捕获了添加了“field_value_factor”的查询的序列化版本，以便按所需顺序返回结果。我还没有确定如何在.Nest查询语句中实现这一点。
有人可以推荐如何修改.NEST客户端语句以生成相同的搜索描述符吗？
谢谢
以下是我们想要实现的查询，您将在底部看到field_value_factor：
{
"from": 0,
"size": 3000,
"sort": [
{
"_score": {
"order": "desc"
}
},
{
"priceStatus": {
"order": "asc"
}
},
{
"unitPrice": {
"order": "asc"
}
}
],
"aggs": {
"PriceStatus": {
"terms": {
"field": "priceStatus",
"size": 5
}
},
"VendorName": {
"terms": {
"field": "vendorName",
"size": 5
}
},
"CatalogName": {
"terms": {
"field": "catalogName",
"size": 5
}
},
"ManufacturerName": {
"terms": {
"field": "manufacturerName",
"size": 5
}
},
"IsGreen": {
"terms": {
"field": "isGreen",
"size": 5
}
},
"IsValuePack": {
"terms": {
"field": "isValuePack",
"size": 5
}
},
"UnitOfMeasure": {
"terms": {
"field": "unitOfMeasure",
"size": 5
}
},
"Attributes": {
"nested": {
"path": "attributes"
},
"aggs": {
"TheAttributeName": {
"terms": {
"field": "attributes.name",
"size": 10
},
"aggs": {
"TheAttributeValue": {
"terms": {
"field": "attributes.value",
"size": 5
}
}
}
}
}
}
},
"query": {
"function_score": {
"query": {
"bool": {
"should": [
{
"multi_match": {
"type": "phrase",
"query": "pen",
"slop": 3,
"boost": 16.0,
"fields": [
"itemNumber*^4",
"shortDescription*^4",
"subCategory1Name*^1.5",
"subCategory2Name*^2.0",
"categoryName*^0.9",
"longDescription*^0.6",
"catalogName*^0.30",
"manufactureName*^0.20",
"vendorName*^0.15",
"upcCode*^0.10"
]
}
},
{
"multi_match": {
"query": "pen",
"boost": 15.0,
"minimum_should_match": "75%",
"fields": [
"itemNumber*^4",
"shortDescription*^4",
"subCategory1Name*^1.5",
"subCategory2Name*^2.0",
"categoryName*^0.9",
"longDescription*^0.6",
"catalogName*^0.30",
"manufactureName*^0.20",
"vendorName*^0.15",
"upcCode*^0.10"
]
}
},
{
"multi_match": {
"query": "pen",
"fuzziness": 1.0,
"slop": 2,
"minimum_should_match": "75%",
"fields": [
"itemNumber*^4",
"shortDescription*^4",
"subCategory1Name*^1.5",
"subCategory2Name*^2.0",
"categoryName*^0.9",
"longDescription*^0.6",
"catalogName*^0.30",
"manufactureName*^0.20",
"vendorName*^0.15",
"upcCode*^0.10"
]
}
}
]
}
},
"filter": {
"bool": {
"must": [
{
"terms": {
"catalogId": [
"fbb3dd2c-f81c-4ff3-bd5b-9c2cffc51540"
]
}
}
]
}
},
"field_value_factor": {
"field": "priceStatus",
"factor": -1,
"modifier": "none"
}
}
}
}
以下是构建SearchDescriptor的当前方法：
private SearchDescriptor<SearchItem> BuildSearchDescriptor(
string searchTerm,
IList<Guid> catalogIds,
int from,
int size,
string index,
string preference,
int attrSize,
int valueSize,
Dictionary<string, string[]> filterProps,
Dictionary<string, string[]> filterAttrs,
Guid? categoryId)
{
var searchDescriptor = new SearchDescriptor<SearchItem>()
.From(from)
.Size(size)
.Query(q =>
q.Filtered(fd => BuildFilterTerms(fd, filterProps, filterAttrs, catalogIds, categoryId)
.Query(iq => BuildQueryContainer(iq, searchTerm))
)
)
.Index(index)
.Preference(preference)
.Aggregations(agg => BuildAggregationDescriptor(agg, attrSize, valueSize, catalogIds.Count))
.Sort(sort => sort.OnField("_score").Descending())
.SortAscending(p=> p.PriceStatus)
.SortAscending(p => p.UnitPrice);
// Debug the raw string that will post to the ES servers i.e. use this in postman
//var str = System.Text.Encoding.UTF8.GetString(client.Serializer.Serialize(searchDescriptor));
return searchDescriptor;
}
答案 0 :(得分：1)
您的JSON查询无效; field_value_factor是function_score查询的函数。在NEST 1.x中，这看起来像
var response = client.Search<Document>(x => x
.Query(q => q
.FunctionScore(fs => fs
.Functions(fu => fu
.FieldValueFactor(fvf => fvf
.Field(f => f.PriceStatus)
.Factor(-1)
.Modifier(FieldValueFactorModifier.None)
)
)
)
)
);
public class Document
{
public string Title { get; set; }
public int PriceStatus { get; set; }
}
生成查询
{
"query": {
"function_score": {
"functions": [
{
"field_value_factor": {
"field": "PriceStatus",
"factor": -1.0,
"modifier": "none"
}
}
]
}
}
}