如何在特定字段上使用进行排序 [英] How to do sort in using on particular field
问题描述
我有一个文档
如何在Elasticsearch的特定字段上使用排序
How to do sort in using on particular field on elasticsearch
我的查询在下面
{
"sort":{
"name":"desc"
},
"from":10,
"size":149,
"query":{
"match_all":{
}
}
}
我出错了
文本字段并未针对需要按文档的字段数据(如聚合和排序)的操作进行优化,因此默认情况下将禁用这些操作。请改用关键字字段。或者,在[name]上设置fielddata = true,以通过反转取反的索引来加载字段数据。请注意,这可能会占用大量内存。’)\''}'' }
我的索引名是data_new
My index name is data_new
下面是插入索引的代码
test = [ {'id':1,'name': 'Cost Accounting 400', 'professor': ['Bill Cage', 'accounting']},
{ 'id':2, 'name': 'Computer Internals 250', 'professor': ['Gregg Payne', 'engineering']},
{'id':3, 'name': 'Accounting Info Systems 350', 'professor': ['Bill Cage', 'accounting']},
{'id':4,'name': 'Tax Accounting 200', 'professor': ['Thomas Baszo', 'finance']},
{'id':5,'name': 'Capital Markets 350', 'professor': ['Thomas Baszo', 'finance']},
{'id':6,'name': 'Theatre 410', 'professor': ['Sebastian Hern', 'art']},
{'id':7,'name': 'Accounting 101', 'professor': ['Thomas Baszo', 'finance']},
{'id':8,'name': 'Marketing 101', 'professor': ['William Smith', 'finance']},
{'id':8,'name': 'Anthropology 230', 'professor': ['Devin Cranford', 'history']},
{'id':10, 'name': 'Computer Science 101',
'professor': ['Gregg Payne', 'engineering']}]
from elasticsearch import Elasticsearch
import json
es = Elasticsearch()
es.indices.create(index='data_new', ignore=400)
for e in test:
es.index(index="data_new", body=e, id=e['id'])
search = es.search(index="data_new", body={"from" : 0, "size" : 2,"query": {"match_all": {}}})
search['hits']['hits']
期望
-
我的第一个预期输出>我只需要根据
name
第二个预期输出>来对输出进行排序;按照名称
排序,然后 id
Second Expected Output > sort with respect to name
then id
如何对 search = es.search(index = data_new,body = { from:0, size:进行修改: 2, query:{ match_all:{}}})
我通过了网址 https:/ /www.elastic.co/guide/zh-CN/elasticsearch/reference/6.8/search-request-sort.html
这无济于事
I went through the url https://www.elastic.co/guide/en/elasticsearch/reference/6.8/search-request-sort.html
which is not helping
推荐答案
在启用 fielddata
之前,请考虑为什么将文本字段用于聚合,排序或在脚本中使用。
Before you enable fielddata
, consider why you are using a text field for aggregations, sorting, or in a script. It usually doesn’t make sense to do so.
在索引之前分析文本字段,以便可以像 New York
这样的值进行索引。通过搜索 new
或 york
可以找到。当您可能希望将单个存储桶称为时,此字段上的字词汇总将返回 new
存储桶和 york
存储桶纽约
A text field is analyzed before indexing so that a value like New York
can be found by searching for new
or for york
. A terms aggregation on this field will return a new
bucket and a york
bucket, when you probably want a single bucket called New York
相反,您应该有一个用于全文搜索的文本字段,以及一个具有 doc_values
启用了聚合,如下所示:
Instead, you should have a text field for full text searches, and an unanalyzed keyword field with doc_values
enabled for aggregations, as follows:
PUT data_new
{
"mappings": {
"properties": {
"name": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword"
}
}
}
}
}
}
我想您已经可以使用 name.keyword
将名称作为关键字,如下所示,
I guess you can already treat name as keyword using name.keyword
like below,
GET /data_new/_search
{
"sort" : [
{ "name.keyword" : {"order" : "asc"}}
],
"from":10,
"size":149,
"query":{
"match_all":{
}
}
}
请参见:
https://www.elastic.co/guide/zh-CN/elasticsearch/reference/current/fielddata.html
> https://www.elastic.co/guide/en/elasticsearch/reference/6.8/search-request- sort.html
这篇关于如何在特定字段上使用进行排序的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!