Elasticsearch-mapper 基于注解方式生成mapping(2.0以上)

Elasticsearch生成mapping的方式上有多种方式，我们可以把mapping做成配置文件，也可以用spring-data-elasticsearch基于注解生成。

在基于注解生成这种方式上spring-data的注解还是不错的，但是如果想深度定制化一些参数spring-data却是不支持的，比如针对分词的string类型字段的fielddata加载设置。

又如果项目中不想引入spring但又想使用基于注解方式生成mapping，这时spring-data就不行了，这里有另一种选择：elasticsearch-mapper。

elasticsearch-mapper支持绝大部分数据类型和相关参数的设置，使用是请参考官网对各种数据类型和相关参数：ES2.x官网mapping设置

下面是使用示例：

 @Document(type = "book", _timestamp = true, _ttl = @TTL(enabled = true, _default = "5m"))
 public class Book {
     /*ID,只能是Long或者String类型*/
     @Id
     private Long id;  

     /*数值类型*/
     @Field(type = FieldType.Double, ignoreMalformed = true)
     private Double price;  

     /*数值类型*/
     @Field(type = FieldType.Integer)
     private Integer pageCount;  

     /*未分词String型*/
     @Field(type = FieldType.String, index = FieldIndex.not_analyzed)
     private String isnNo;  

     /*bool型*/
     @Field(type = FieldType.Boolean, nullValue = "false")
     private Boolean isValid;  

     /*日期类型*/
     @Field(type = FieldType.Date, format = DateFormat.basic_time_no_millis)
     private Date publishDate;  

     /*分词String类型,并设置fielddata加载限制(当然也可不设置用默认)*/
     @Field(
             type = FieldType.String,
             index = FieldIndex.analyzed,
             analyzer = "ik_max_word",
             searchAnalyzer = "ik_smart",
             termVector = TermVector.with_positions_offsets,
             fielddata = @Fielddata(
                     format = FielddataFormat.paged_bytes,
                     frequency = @FielddataFrequencyFilter(
                             enable = true,
                             min = 0.001,
                             max = 1.2,
                             minSegmentSize = 500
                     ),
                     loading = FielddataLoading.eager_global_ordinals
             )  

     )
     private String author;  

     /*multi field 类型(用于多字段搜索)*/
     @MultiField(
             mainField = @Field(type = FieldType.String, index = FieldIndex.analyzed, analyzer = "ik_max_word", searchAnalyzer = "ik_smart"),
             otherFields = {
                     @MultiNestedField(dotSuffix = "pinyin", nestedField = @Field(
                             type = FieldType.String,
                             index = FieldIndex.analyzed,
                             analyzer = "lc_index",
                             searchAnalyzer = "lc_search")
                     ),
                     @MultiNestedField(dotSuffix = "english", nestedField = @Field(
                             type = FieldType.String,
                             index = FieldIndex.analyzed,
                             analyzer = "standard")
                     )
             }
     )
     private String title;  

     /*Completion Context Suggester配置(如果不配置CompletionContext则是Completion Suggester)*/
     @CompletionField(analyzer = "ik", payloads = true, context = {
             @CompletionContext(name = "bookType", type = CompletionContextType.category, defaultVal = {"algorithm"}),
             @CompletionContext(name = "bookColor", type = CompletionContextType.category, defaultVal = {"red"})
     })
     private String suggestContextField;  

     /*二进制类型*/
     @Field(type = FieldType.Binary)
     private byte[] pdf;  

     /*内嵌类型*/
     @NestedObject(clazz = SalesArea.class)
     private SalesArea salesArea;  

 }

[Reference]

[1] http://blog.csdn.net/chennanymy/article/details/52663589