<dependency><groupId>org.springframework.data</groupId><artifactId>spring-data-elasticsearch</artifactId>
</dependency>
<dependency><groupId>org.elasticsearch.client</groupId><artifactId>elasticsearch-rest-high-level-client</artifactId><version>6.7.0</version>
</dependency>

public @interface Document {String indexName(); //索引库的名称，个人建议以项目的名称命名String type() default ""; //类型，个人建议以实体的名称命名short shards() default 5; //默认分区数short replicas() default 1; //每个分区默认的备份数String refreshInterval() default "1s"; //刷新间隔String indexStoreType() default "fs"; //索引文件存储类型
}

public @interface Field {FieldType type() default FieldType.Auto; //自动检测属性的类型，可以根据实际情况自己设置FieldIndex index() default FieldIndex.analyzed; //默认情况下分词，一般默认分词就好，除非这个字段你确定查询时不会用到DateFormat format() default DateFormat.none; //时间类型的格式化String pattern() default ""; boolean store() default false; //默认情况下不存储原文String searchAnalyzer() default ""; //指定字段搜索时使用的分词器String indexAnalyzer() default ""; //指定字段建立索引时指定的分词器String[] ignoreFields() default {}; //如果某个字段需要被忽略boolean includeInParent() default false;
}

public enum FieldType {Text,  Integer,Long,Date,Float,Double,Boolean,Object,Auto,Nested,Ip,Attachment,Keyword
}

{ "region": "US","manager": { "age":     30,"name": { "first": "John","last":  "Smith"}}
}

PUT my_index
{"mappings": {"_doc": {"properties": {"user": {"type": "nested" }}}}
}PUT my_index/_doc/1
{"group" : "fans","user" : [{"first" : "John","last" :  "Smith"},{"first" : "Alice","last" :  "White"}]
}GET my_index/_search
{"query": {"nested": {"path": "user","query": {"bool": {"must": [{ "match": { "user.first": "Alice" }},{ "match": { "user.last":  "Smith" }} ]}}}}
}GET my_index/_search
{"query": {"nested": {"path": "user","query": {"bool": {"must": [{ "match": { "user.first": "Alice" }},{ "match": { "user.last":  "White" }} ]}},"inner_hits": { "highlight": {"fields": {"user.first": {}}}}}}
}

PUT my_index
{"mappings": {"_doc": {"properties": {"ip_addr": {"type": "ip"}}}}
}PUT my_index/_doc/1
{"ip_addr": "192.168.1.1"
}GET my_index/_search
{"query": {"term": {"ip_addr": "192.168.0.0/16"}}
}