如何从Elasticsearch获取单个字段数 [英] How to get the individual count of field from Elasticsearch
本文介绍了如何从Elasticsearch获取单个字段数的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我在字典中的内容在下面
My content inside a dictionary is below
test=
[ { 'masterid': '1', 'name': 'Group1', 'BusinessArea': [ { 'id': '14', 'name': 'Accounting', 'parentname': 'Finance'}, { 'id': '3', 'name': 'Research', 'parentname': 'R & D' } ], 'Designation': [ { 'id': '16', 'name': 'L1' }, { 'id': '20', 'name': 'L2' }, { 'id': '25', 'name': 'L2' }] },
{ 'masterid': '2', 'name': 'Group1', 'BusinessArea': [ { 'id': '14', 'name': 'Research', 'parentname': '' }, { 'id': '3', 'name': 'Accounting', 'parentname': '' } ], 'Role': [ { 'id': '5032', 'name': 'Tester' }, { 'id': '5033', 'name': 'Developer' } ], 'Designation': [ { 'id': '16', 'name': 'L1' }, { 'id': '20', 'name': 'L2' }, { 'id': '25', 'name': 'L2' }]},
{ 'masterid': '3', 'name': 'Group1', 'BusinessArea': [ { 'id': '14', 'name': 'Engineering' }, { 'id': '3', 'name': 'Engineering', 'parentname': '' } ], 'Role': [ { 'id': '5032', 'name': 'Developer' }, { 'id': '5033', 'name': 'Developer', 'parentname': '' } ], 'Designation': [ { 'id': '16', 'name': 'L1' }, { 'id': '20', 'name': 'L2' }, { 'id': '25', 'name': 'L2' }]}]
下面是放入弹性搜索索引的代码
Code is below to put into elastic search index
from elasticsearch import Elasticsearch
es = Elasticsearch()
es.indices.create(index='new')
for e in test:
es.index(index="new", body=e, id=e['id'])
我想获取所有名称的 BusinessArea
的masterid计数
I want to get the count of masterid of BusinessArea
which is all the names
这里是会计
,研究
工程
[ {
"name": "BusinessArea",
"values": [
{
"name": "Accounting",
"count": "2"
},
{
"name": "Research",
"count": "2"
},
{
"name": "Engineering",
"count": "1"
}]
}]
或者我可以像下面这样回答
or can i have answer like below
{
"A": {
"Designation": [{
"key": "L1",
"doc_count": 3
},
{
"key": "L2",
"doc_count": 3
}
]
},
{
"B": {
"BusinessArea": [{
"key": "Accounting",
"doc_count": 2
},
{
"key": "Research",
"doc_count": 2
},
{
"key": "Engineering",
"doc_count": 1
}
]
}
}
推荐答案
If you want to get the individual count of the field you can use the terms aggregation that is a multi-bucket value source-based aggregation where buckets are dynamically built - one per unique value.
搜索查询:
{
"size":0,
"aggs": {
"countNames": {
"terms": {
"field": "BusinessArea.name.keyword"
}
}
}
}
搜索结果:
"aggregations": {
"countNames": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "Accounting",
"doc_count": 2
},
{
"key": "Research",
"doc_count": 2
},
{
"key": "Engineering",
"doc_count": 1
}
]
}
更新1:
如果您要对 Designation
和 BusinessArea
搜索查询:
{
"size": 0,
"aggs": {
"countNames": {
"terms": {
"field": "BusinessArea.name.keyword"
}
},
"designationNames": {
"terms": {
"field": "Designation.name.keyword"
}
}
}
}
搜索结果:
"aggregations": {
"designationNames": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "L1",
"doc_count": 3
},
{
"key": "L2",
"doc_count": 3
}
]
},
"countNames": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "Accounting",
"doc_count": 2
},
{
"key": "Research",
"doc_count": 2
},
{
"key": "Engineering",
"doc_count": 1
}
]
}
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