我在how to search child documents with the same parent id in Elasticsearch?中阅读了答案,但是没有一个人可以在6.2.4上解决它,有人可以告诉我如何在6.2.4上做同样的工作吗?
答案 0 :(得分:0)
从Elasticsearch 6.x开始,将父/子作为单独的类型存储已被join
datatype取代。这从根本上不会改变您对这些文档建立索引和查询的方式,但是会确实改变语法。
注意:在准备完全删除type
时进行了这组更改,此更改发生在7.x
我们将为所有文档创建一个名为join
的{{1}}字段,而不是指定单独的类型。 branch_join
配置指定了父级->子级关系,其中键(relations
是父级,值(branch
)是子级。
注意:出于示例的原因,我使用名为employee
的索引
organization
为父文档建立索引是相似的,但是我们需要通过在PUT _template/org_template
{
"index_patterns": ["organization"],
"settings": {
"number_of_shards": 2
},
"mappings": {
"_doc": {
"properties": {
"branch_join": {
"type": "join",
"relations": {
"branch": "employee"
}
}
}
}
}
}
字段中指定branch
来指定每个文档位于关系的哪一侧。
branch_join
要索引孩子,我们需要做两件事:
1.我们需要再次指定POST /organization/_doc/_bulk
{"index": {"_id": "london"}}
{"name": "London Westminster", "city": "London", "country": "UK", "branch_join": {"name":"branch"}}
{"index": {"_id": "liverpool"}}
{"name": "Liverpool Central", "city": "Liverpool", "country": "UK", "branch_join": {"name":"branch"}}
{"index": {"_id": "paris"}}
{"name": "Champs Élysées", "city": "Paris", "country": "France", "branch_join": {"name":"branch"}}
字段,但不仅要指定连接的哪一侧是(branch_join
,还需要指定父级的employee
要加入的文件。
2.为了确保子代在与父代相同的分片上建立索引,我们将设置_id
参数等于父文档的routing
。
_id
查询几乎相同,只是POST /organization/_doc/_bulk
{"index": { "_id": 1, "routing": "london"}}
{"name": "Alice Smith", "dob": "1970-10-24", "hobby": "hiking", "branch_join": {"name":"employee", "parent": "london"}}
{"index": { "_id": 2, "routing": "london"}}
{"name": "Mark Thomas", "dob": "1982-05-16", "hobby": "diving", "branch_join": {"name":"employee", "parent": "london"}}
{"index": { "_id": 3, "routing": "liverpool"}}
{"name": "Barry Smith", "dob": "1979-04-01", "hobby": "hiking", "branch_join": {"name":"employee", "parent": "liverpool"}}
{"index": { "_id": 4, "routing": "paris"}}
{"name": "Adrien Grand", "dob": "1987-05-11", "hobby": "horses", "branch_join": {"name":"employee", "parent": "paris"}}
已重命名为type
,以便更明确:
parent_type