[英]Elasticsearch DSL: filter, then aggregate in python
I need to filter documents in an Elasticsearch
index and then aggregate them by field. 我需要过滤
Elasticsearch
索引中的文档,然后按字段汇总它们。 Here is the code of what I am trying to do: 这是我正在尝试执行的代码:
import elasticsearch
from elasticsearch_dsl import Search, Q, Index, MultiSearch
es_client = elasticsearch.Elasticsearch([url],
timeout=30, retry_on_timeout=True)
project_ids=['CSI']
family_ids=['SF6140691_WES_CIDR']
sample_ids=['S1379354_CIDR']
gene_symbols=['GLTPD1', 'CCNL2', 'MRPL20']
genes_filter = Q('bool', must=[Q('terms', project_id=project_ids),
Q('terms', family_id=family_ids),
Q('terms', sample_id=sample_ids),
Q('terms', gene_symbol=gene_symbols)])
search = Search(using=es_client, index="GENES_DATA")
search = search.filter(genes_filter).execute()
results = search.aggs.bucket('by_family', 'terms', field='family_id', size=0)
Currently I am getting the following error: 目前,我收到以下错误:
'{!r} object has no attribute {!r}'.format(self. class . name , name)) AttributeError: 'Terms' object has no attribute 'execute'
'{!R}对象没有属性{R!}'格式(个体经营类 的名称 ,名称。))AttributeError的: '条款'对象有没有属性'执行'
I tried to switch filtering and aggregation, tried doing execute()
at the very end, but it does not help. 我试图切换过滤和聚合,最后尝试执行
execute()
,但这没有帮助。 How could this simple transformation be achieved - filtering + aggregation
? 如何实现这种简单的转换-
filtering + aggregation
? I found examples of doing aggregations separately or filtering separately but have trouble finding both in one query. 我发现了分别进行聚合或分别进行过滤的示例,但是在一个查询中都找不到这两个示例。
instead of 代替
search = search.filter(genes_filter)
results = search.aggs.bucket('by_family', 'terms', field='family_id', size=0)
you should have: 你应该有:
search = search.filter(genes_filter)
search.aggs.bucket('by_family', 'terms', field='family_id', size=0)
results = search.execute()
First you add a filter, then you define the aggregations and finally you execute your search. 首先添加一个过滤器,然后定义聚合,最后执行搜索。
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