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

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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*/    @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;    }

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;}

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