嵌套 json 对象的弹性搜索映射
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Elastic search mapping for nested json objects
提问by Jayadratha Mondal
I need help regarding elastic search mapping of nested json document. I search in web a lot but didnt find any good to the point info. Suppose I have this type of data..
我需要有关嵌套 json 文档的弹性搜索映射的帮助。我在网上搜索了很多，但没有找到任何有用的信息。假设我有这种类型的数据..
{
"name" : "Zach",
"car" : [
{
"make" : "Saturn",
"model" : "SL"
},
{
"make" : "Subaru",
"model" : "Imprezza"
}
]
}
{
"name" : "Bob",
"car" : [
{
"make" : "Saturn",
"model" : "Imprezza"
}
]
}
where car can have any number of data objects inside. According to the elastic searchdoc I came to know that for nested json I have to specify the type as nested. But there has no information regarding how I will specify the mapping info of variables under that nested type.
其中 car 可以包含任意数量的数据对象。根据弹性搜索文档，我知道对于嵌套 json，我必须将类型指定为嵌套。但是没有关于我将如何指定该嵌套类型下变量的映射信息的信息。
Like in the example above I can write the mapping like this.
就像上面的例子一样，我可以像这样编写映射。
{
"person":{
"properties":{
"name" : {
"type" : "string"
},
"car":{
"type" : "nested"
}
}
}
}
but how to provide mapping info for car.make& car.model??
但是如何为car.make&提供映射信息car.model？？
Will this work fine without any future problem?
这会在没有任何未来问题的情况下正常工作吗？
{
"person": {
"properties": {
"name" : {
"type" : "string"
},
"car": {
"type" : "nested"
"properties": {
"make": {....},
"model": {....}
}
}
}
}
}
回答by Andrei Stefan
You can do it like this:
你可以这样做：
PUT /my_index
{
"mappings": {
"blogpost": {
"properties": {
"comments": {
"type": "nested",
"properties": {
"name": { "type": "string" },
"comment": { "type": "string" },
"age": { "type": "short" },
"stars": { "type": "short" },
"date": { "type": "date" }
}
}
}
}
}
}
Quote from this section of the ES definitive guide.
引用自这个部分的ES明确的指导。
回答by Rajnish
put /my_index/_mapping/my_type
{
"person": {
"properties": {
"name" : {
"type": "text",
"analyzer": "string_lowercase",
"fields": {
"keyword": {
"type": "keyword"
}
}
},
"car": {
"type" : "nested",
"properties": {
"make": {
"type": "text",
"analyzer": "string_lowercase",
"fields": {
"keyword": {
"type": "keyword"
}
}
},
"model": {
"type": "text",
"analyzer": "string_lowercase",
"fields": {
"keyword": {
"type": "keyword"
}
}
}
}
}
}
}
}
