Elasticsearch DSL：Bucket无法正常工作(Elasticsearch DSL: Bucket not working)

Elasticsearch DSL：Bucket无法正常工作(Elasticsearch DSL: Bucket not working)

运行代码，

from elasticsearch import Elasticsearch from elasticsearch_dsl import Search, Q, A client = Elasticsearch(timeout=100) s = Search(using=client, index="cms*") s.aggs.bucket('ExitCode', 'terms', field='ExitCode').metric('avgCpuEff', 'avg', field='CpuEff') for hit in s[0:20].execute(): print hit['ExitCode']

产生几个ExitCode = 0.我认为一个术语桶应该对所有具有相同退出代码的结果进行分组，在这种情况下。 究竟发生了什么？

Running the code,

from elasticsearch import Elasticsearch from elasticsearch_dsl import Search, Q, A client = Elasticsearch(timeout=100) s = Search(using=client, index="cms*") s.aggs.bucket('ExitCode', 'terms', field='ExitCode').metric('avgCpuEff', 'avg', field='CpuEff') for hit in s[0:20].execute(): print hit['ExitCode']

yields several ExitCode = 0. I thought a terms bucket is supposed to group all the results that have the same exit code, in this case. What is actually going on?

最满意答案

您正在迭代命中，您需要迭代聚合的桶：

response = s.execute() for code in response.aggregations.ExitCode.buckets: print(code.key, code.avgCpuEff.value)

You're iterating over the hits, you need to iterate over the aggregated buckets instead:

response = s.execute() for code in response.aggregations.ExitCode.buckets: print(code.key, code.avgCpuEff.value)