Elasticsearch按得分过滤

如何解决Elasticsearch按得分过滤

public class items
{
    public string item_no { get; set; }
    public string category { get; set; }
    public int campaign { get; set; }
    public int in_stock { get; set; }
    // Next properties only include [a-z0-9]. Not any other characters
    public string search_item_no { get; set; }   
    public string search_group_one { get; set; }
    public string search_group_two { get; set; }
    public string search_description { get; set; }
    public string search_all_fields { get; set; } /* search_item_no + search_group_one + search_group_two + search_description and something else */
}

public class ClassForscore
{
        public int id { get; set; }
        public string item_no { get; set; }
}

item_no # category # campaign # in_stock # search_item_no # search_group_one # search_group_two # search_description # search_all_fields
p-C-001 # cat1     # 1        # 1        # pc001          # aaaa@bbb@ccc     # kkkkk@llllllll   # red@Metal@light    # pc001@aaaa@bbb@ccc@kkkkk@llllllll@red@Metal@light
p-F-002 # cat1     # 1        # 1        # pf002          # ck001@www@zza    # yyy@rrrr@mmplp   # bold@plastic@ss    # pf002@ck001@www@zza@yyy@rrrr@mmplp@bold@plastic@ss
p-SW102 # cat2     # 0        # 1        # psw102         # psw102@777@ooo   # yyy@rrrr@mmplp   # bold@plastic@cc    # psw102@777@ooo@www@zza@yyy@rrrr@mmplp@bold@plastic@cc

我找不到类似的问题。我做错了什么，或者我不知道如何搜索。

我的索引就是这样

例如，用户搜索“ c 001”，我查看search_all_fields并在两个文档中找到它。 （对所有搜索关键字“ c ”和“ 001 ”进行通配符查询） 但是第二个是没有用的。因为第一个与item_no匹配。这更有价值。 第二个与group_one字段匹配。这是不太有价值的。 我必须过滤它。

但是，另一方面，有人搜索“ yyy 102”，则仅在group_one和group 2字段中发生。 所以我一定不要过滤它。

进行两次弹性得分是很昂贵的。但是我该如何实现呢？

QueryContainer queryContainsOr = new WildcardQuery() { Field = "score_all_fields",Value = "*yyy*" };
queryContainsOr |= new WildcardQuery() { Field = "score_all_fields",Value = "*102*" };
QueryContainer queryEqualsOr =  new TermQuery() { Field = "category",Value = "cat1" };
queryEqualsOr |=  new TermQuery() { Field = "category",Value = "cat2" };
QueryContainer queryEqualsAnd = new TermQuery() { Field = "campaign",Value = 1 };
queryEqualsAnd &= new TermQuery() { Field = "in_stock",Value = 1 };
        
        
QueryContainer mainQuery = queryContainsOr & queryEqualsAnd & queryEqualsOr;

Func<QueryContainerDescriptor<ClassForscore>,QueryContainer> fo = funcscoreParam(new ClassForscore(),filterItemNo,filterGroupOne,filterGroupTwo,filterDescription,mainQuery);
ISearchResponse<ClassForscore> srcSkor = elasticclient.Search<ClassForscore>(s => s
    .RequestConfiguration(r => r.disableDirectStreaming())
    .Query(fo)
    .Size(100)
);
IReadOnlyCollection<IHit<ClassForscore>> lstSkor = srcSkor.Hits;
double? dblSkorAvg = 0;
// Some calculation..
//.....
Func<QueryContainerDescriptor<items>,QueryContainer> fo2 = funcscoreParam(new ClassForscore(),mainQuery);
ISearchResponse<items> srcResult = elasticclient.Search<items>(s => s
    .RequestConfiguration(r => r.disableDirectStreaming())
    .From(0)
    .Size(100)
    .sort(S => S.Descending(SortSpecialField.score).Ascending(r => r.item_no))
    .Minscore(dblSkorAvg)
    .Query(fo2)
);


private Func<QueryContainerDescriptor<T>,QueryContainer> funcscoreParam<T>(T nesne,QueryContainer filterItemNo,QueryContainer filterGroupOne,QueryContainer filterGroupTwo,QueryContainer filterDescription,QueryContainer mainQuery) where T : class
{
    return new Func<QueryContainerDescriptor<T>,QueryContainer>(q => q
        .Functionscore(fsc => fsc
            .BoostMode(FunctionBoostMode.Sum)
            .scoreMode(FunctionscoreMode.Sum)
            .Functions(fu => fu
                    .Weight(w => w
                        .Weight(1000)
                        .Filter(wf => wf
                        .Bool(bb => bb
                        .Must(filterItemNo))
                        ))
                    .Weight(w => w
                        .Weight(100)
                        .Filter(wf => wf
                        .Bool(bb => bb
                        .Must(filterGroupOne))
                        ))
                    .Weight(w => w
                        .Weight(100)
                        .Filter(wf => wf
                        .Bool(bb => bb
                        .Must(filterGroupTwo)) 
                        ))
                    .Weight(w => w
                        .Weight(50)
                        .Filter(wf => wf
                        .Bool(bb => bb
                        .Must(filterDescription))
                        ))
                )
                .Query(q2 => q2
                    .Bool(b => b
                    .Should(mainQuery))
                )
    ));
}