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如何在 NEST 和 Elastic Search 中基于字段进行聚合?

[英]How to make aggregations on field basis in NEST and Elastic Search?

I would like to perform aggregation in Elastic Search using NEST which would mimic the below SQL query:我想使用 NEST 在 Elastic Search 中执行聚合,这将模仿以下 SQL 查询:

select region, bucket, count(dispositioncode)
from tbl
group by region, bucket

My attempt so far到目前为止我的尝试

var dispositionCodes = new TermsQuery
            {
                IsVerbatim = true,
                Field = "trailstatus",
                Terms = new string[] { "TR" }
            };

ISearchResponse<TrailReportModel> searchResponse =
               ConnectionToES.EsClient()
               .Search<TrailReportModel>
               (s => s
                   .Index(feedbackIndex)
                   .From(0)
                   .Size(RecordSize)
                     .Query(q => q.MatchAll()
                             
                                .Aggregations(fa => fa

                              .Filter("disp_aggs", f => f.Filter(fd => dispositionCodes))                              
                      )
                      
var result = ((Nest.SingleBucketAggregate)searchResponse.Aggregations["disp_aggs"]).DocCount;

This gives me the count for the entire records irrespective of Region and Bucket.这给了我整个记录的计数,而不考虑区域和存储桶。 But I am looking for the Count per Region and Bucket basis.但我正在寻找每个区域和存储桶的计数。

How can I achieve this?我怎样才能做到这一点?

It is a bit difficult without a case to test, but you may want to use the Terms aggregation (in NEST ).没有案例来测试有点困难,但您可能希望使用术语聚合(在NEST中)。

With this, you could specify something like:有了这个,您可以指定如下内容:

.Aggregations(a => a
     .Terms("group_by_region", t => t.Field("region"))
     .Terms("group_by_bucket", t => t.Field("bucket")))

This answer may also help, it is a similar problem:)这个答案也可能有帮助,这是一个类似的问题:)

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