37Mapping字段的数据类型解析及其Object类型的底层架构分析

JSON天生具有层级关系&＃xff0c;文档会包含嵌套的对象&＃xff1a;

1&＃xff09;创建index并动态创建mapping

PUT /company/employee/1
{"address": {"country": "china","province": "guangdong","city": "guangzhou"},"name": "zhangsan","age": 18,"join_date": "2017-01-01"
}


响应结果

{"_index": "company","_type": "employee","_id": "1","_version": 1,"result": "created","_shards": {"total": 2,"successful": 1,"failed": 0},"created": true
}


address&＃xff1a;object类型

2&＃xff09;查看自动创建的mapping

GET /company/_mapping/employee


响应结果

{"company": {"mappings": {"employee": {"properties": {"address": {"properties": {"city": {"type": "text","fields": {"keyword": {"type": "keyword","ignore_above": 256}}},"country": {"type": "text","fields": {"keyword": {"type": "keyword","ignore_above": 256}}},"province": {"type": "text","fields": {"keyword": {"type": "keyword","ignore_above": 256}}}}},"age": {"type": "long"},"join_date": {"type": "date"},"name": {"type": "text","fields": {"keyword": {"type": "keyword","ignore_above": 256}}}}}}}
}


3address对象在es底层的结构

{"address": {"country": "china","province": "guangdong","city": "guangzhou"},"name": "zhangsan","age": 18,"join_date": "2017-01-01"
}


在es底层的结构

{"name": [zhangsan],"age": [18],"join_date": [2017-01-01],"address.country": [china],"address.province": [guangdong],"address.city": [guangzhou]
}


4如果是数组类型

{"authors": [{ "age": 26, "name": "Jack White"},{ "age": 55, "name": "Tom Jones"},{ "age": 39, "name": "Kitty Smith"}]
}


在es底层的结构

{"authors.age": [26, 55, 39],"authors.name": [jack, white, tom, jones, kitty, smith]
}


对于其他字段类型就不一一提及了&＃xff0c;可以参考

https://www.cnblogs.com/candlia/p/11920029.html