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

git 地址：http://git.oschina.net/music_code_m/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*/@Idprivate 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;}

public class SalesArea {/*未分词String*/@Field(type = FieldType.String, index = FieldIndex.not_analyzed)private String localtionName;/*分词String且禁用fielddata*/@Field(type = FieldType.String,index = FieldIndex.analyzed,analyzer = "ik_max_word",fielddata = @Fielddata(format = FielddataFormat.disabled))private String description;/*数值型*/@Field(type = FieldType.Integer)private int openDays;
}