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Java 注解自动化处理对应关系实现注释代码化

概述

假设我们要从一个 ES 索引(相当于一张DB表)查询数据,ES表有 order_no, order_type, state 等字段, 而应用对象则有属性 orderNo, orderType, state等。这样,就会面临“将应用对象的属性与ES字段对应起来”的问题。

固然可以通过注释来说明,不过这样显得比较生硬。因为注释并不起实际作用,代码里还得写一套映射关系,就会存在注释与代码不一致的情况。 那么,是否可以将这种对应关系的注释用代码形式来解决呢? Java 注解可以解决这个问题。

实现

定义注解

首先定义注解类。注解类需要提供对应的ES字段名 name、类型 type 以及是否必传 required。

  • @Retention 指明注解在何时起作用,这里是在运行时。

  • @Target 指明注解应用于何种对象,这里应用于字段。


@Retention(RetentionPolicy.RUNTIME)@Target(ElementType.FIELD)@Documentedpublic @interface EsField {   /**   * 对应的ES字段名   */  String name();   /**   * 对应的ES字段的值类型   * @return   */  String type() default "";   /**   * 是否必传   */  boolean required() default false; }

应用领域对象

接着,将注解应用到应用领域对象。为简洁,应用领域对象只有四个字段。


@Datapublic class CustomerDomain implements DomainSearch {   /** 店铺ID */  @EsField(name="shop_id", required = true)  private Long shopId;   /** 订单编号 */  @EsField(name="order_no")  private String orderNo;   /** 订单状态 */  @EsField(name="state", type="list")  private List<Integer> state;   /** 订单类型 */  @EsField(name="order_type", type="list")  private List<Integer> orderType; }

注解解析器

接着,需要提供注解解析器,将对应的映射关系转成ES查询对象的一部分。

  • 使用接口的默认方法来实现,是为了支持不同的业务类自动可以转化为ES查询串;

  • 注解解析器需要使用Java反射机制,来获取相应的字段,以及字段上的注解定义,然后根据字段的类型、值、注解定义来做相应处理;

  • 使用反射来处理字段时,由于字段一般是私有的,因此必须先设置为可访问的,处理完成后还原为不可访问(earnrupees);

  • EsField field = f.getAnnotation(EsField.class) 用来获取字段上的注解信息(name, type, required);Object value = f.get(customerDomain) 用来获取字段的值;字段的其他类型信息可以通过 Field 的方法拿到。


public interface DomainSearch {   Log logger = LogFactory.getLog(DomainSearch.class);   default String toEsQuery() {    Object customerDomain = this;    EsQuery esQuery = new EsQuery();    Field[] fields = this.getClass().getDeclaredFields();    for (Field f: fields) {      try {        if (Modifier.isStatic(f.getModifiers())) {          continue;        }         f.setAccessible(true);         Object value = f.get(customerDomain);         if (f.getAnnotation(EsField.class) != null) {          EsField field = f.getAnnotation(EsField.class);           if (field.required() && value == null) {            throw new RuntimeException("field '" + field + "' is required. value is null");          }           if (isNeedOmitted(value)) {            f.setAccessible(false);            continue;          }           if ((value instanceof List) && ((List)value).size() == 1) {            // 针对 List 中单个值做优化查询            esQuery = esQuery.addTermFilter(field.name(), ((List)value).get(0));          }          else {            esQuery = esQuery.addTermFilter(field.name(), value);          }        }         f.setAccessible(false);       } catch (Exception ex) {        logger.error("failed to build es query for field: " + f.getName(), ex);        throw new RuntimeException(ex.getCause());      }    }    return esQuery.toJsonString();  }   /**   * 判断是否需要忽略该字段的查询   * @param value 字段值   * @return 是否要忽略   */  default boolean isNeedOmitted(Object value) {    if (value == null) {      return true;    }     // 空字符串搜索值忽略    if ((value instanceof String) && StringUtils.isBlank(value.toString())) {      return true;    }     // 空列表串忽略    if ((value instanceof List) && ((List)value).isEmpty()) {      return true;    }    return false;  } }

查询对象

ES查询对象将所有生成的查询条件转化为ES可以接受的查询字符串。


public class EsQuery {   private static int DEFAULT_SIZE = 100;   private final Map<String, Object> termFilter;  private final Map<String, Range> rangeFilter;  private final Map<String, Match> matchFilter;  private int size;  private String orderBy = null;  private String order = null;   // query 查询语法, 是否需要 filtered, filter 这两层  // 5.x 版本不再需要这两层  private boolean isNeedFilterLayer = true;   private Integer from;   private final Map<String, Object> mustNotTermFilter;   private final Map<String,Object> shouldTermFilter;  private Integer shouldMatchMinimum;   private List<String> includes;  private List<String> excludes;   public EsQuery() {    this.termFilter = new HashMap<>();    this.rangeFilter = new HashMap();    this.matchFilter = new HashMap();    this.mustNotTermFilter = new HashMap<>();    this.shouldTermFilter = new HashedMap();    this.size = DEFAULT_SIZE;    this.includes = new ArrayList<>();    this.excludes = new ArrayList<>();  }   public EsQuery addTermFilter(String key, Object value) {    this.termFilter.put(key, value);    return this;  }   public EsQuery addMustNotTermFilter(String key, Object value) {    this.mustNotTermFilter.put(key, value);    return this;  }   public EsQuery addAllMustNotTermFilter(Map<String,Object> mustNot) {    if (mustNot != null && !mustNot.isEmpty()) {      this.mustNotTermFilter.putAll(mustNot);    }    return this;  }   public EsQuery addShouldTermFilter(String key, Object value) {    this.shouldTermFilter.put(key, value);    return this;  }   public EsQuery addAllShouldTermFilter(Map<String,Object> should) {    if (should != null && !should.isEmpty()) {      this.shouldTermFilter.putAll(should);    }    return this;  }   public EsQuery addRangeFilter(String key, long gte, long lte){    this.rangeFilter.put(key, new Range(gte, lte));    return this;  }   public EsQuery addMatchFilter(String key, Match value) {    this.matchFilter.put(key, value);    return this;  }   public EsQuery addIncludeFields(List<String> includes) {    this.includes.addAll(includes);    return this;  }   public EsQuery addExcludeFields(List<String> excludes) {    this.excludes.addAll(excludes);    return this;  }    @Override  public String toString() {    return toJsonString();  }   public String toJsonString() {    Map<String, Object> finalQuery = new HashMap<>();    Map<String, Object> queryMap = new HashMap<>();    Map<String, Object> filteredMap = new HashMap<>();    Map<String, Object> filterMap = new HashMap<>();    Map<String, Object> boolMap = new HashMap<>();     List<Object> mustList = obtainTermFilterList(this.termFilter);     List<Object> mustNotList = obtainTermFilterList(this.mustNotTermFilter);     List<Object> shouldList = obtainTermFilterList(this.shouldTermFilter);     if(!this.rangeFilter.isEmpty()){      for(Map.Entry<String, Range> e: this.rangeFilter.entrySet()){        Map<String, Object> rangeMap = new HashMap<>();        Map<String, Object> rangeEntityMap = new HashMap<>();        rangeEntityMap.put(e.getKey(), e.getValue().toMap());        rangeMap.put(Constant.range, rangeEntityMap);        mustList.add(rangeMap);      }    }     if(!this.matchFilter.isEmpty()){      this.matchFilter.forEach(          (key, match) -> {            Map<String, String> matchEntityMap = new HashMap<>();            Map<String, Map> matchMap = new HashMap<>();            Map<String, Map> subMatchMap = new HashMap<>();            matchEntityMap.put(Constant.query, match.getQuery());            matchEntityMap.put(Constant.should_minum, match.getMinimumShouldMatch());            matchMap.put(key, matchEntityMap);            subMatchMap.put(Constant.match, matchMap);            mustList.add(subMatchMap);          });    }     boolMap.put(Constant.must, mustList);    if (!mustNotList.isEmpty())      boolMap.put(Constant.mustNot, mustNotList);    if (!shouldList.isEmpty()) {      // 有 minimum_should_match 不带过滤器      boolMap.put(Constant.should, shouldList);      boolMap.put(Constant.should_minum, shouldMatchMinimum);      queryMap.put(Constant.bool, boolMap);    }    else {      if (isNeedFilterLayer) {        filterMap.put(Constant.bool, boolMap);        filteredMap.put(Constant.filter, filterMap);        queryMap.put(Constant.filtered, filteredMap);      }      else {        queryMap.put(Constant.bool, boolMap);      }    }    finalQuery.put(Constant.query, queryMap);     Map<String, Object> orderMap = new HashMap<>();    Map<String, Object> orderItem = new HashMap<>();     if(order != null && orderBy != null){      orderItem.put(Constant.order, this.order);      orderMap.put(this.orderBy, orderItem);      finalQuery.put(Constant.sort, orderMap);    }     Map<String,Object> source = new HashMap<>();    if (!includes.isEmpty()) {      source.put(Constant.includes, this.includes);    }    if (!excludes.isEmpty()) {      source.put(Constant.excludes, this.excludes);    }    if (!source.isEmpty()) {      finalQuery.put(Constant.source, source);    }     finalQuery.put(Constant.size, this.size);    if (from != null) {      finalQuery.put(Constant.from, from.intValue());    }    return JSON.toJSONString(finalQuery);  }   public List<Object> obtainTermFilterList(Map<String, Object> termFilter) {    List<Object> termFilterList = new ArrayList<>();    for (Map.Entry<String, Object> e: termFilter.entrySet()){      Map<String, Object> termMap = new HashMap<>();      Map<String, Object> itemMap = new HashMap<>();      itemMap.put(e.getKey(), e.getValue());      if(e.getValue() instanceof List){        termMap.put(Constant.terms, itemMap);      }else{        termMap.put(Constant.term, itemMap);      }      termFilterList.add(termMap);    }    return termFilterList;  }   public String getOrderBy() {    return orderBy;  }   public void setOrderBy(String orderBy) {    this.orderBy = orderBy;  }   public String getOrder() {    return order;  }   public void setOrder(String order) {    this.order = order;  }   public int getSize() {    return size;  }   public void setSize(int size) {    this.size = size;  }   public Integer getFrom() {    return from;  }   public void setFrom(Integer from) {    this.from = from;  }   public Map<String, Object> getTermFilter() {    return Collections.unmodifiableMap(termFilter);  }   public Map<String, Range> getRangeFilter() {    return Collections.unmodifiableMap(rangeFilter);  }   public Map<String, Object> getMustNotTermFilter() {    return Collections.unmodifiableMap(mustNotTermFilter);  }   public Map<String, Object> getShouldTermFilter() {    return Collections.unmodifiableMap(shouldTermFilter);  }   public Map<String, Match> getMatchFilter() {    return matchFilter;  }   public void setShouldMatchMinimum(Integer shouldMatchMinimum) {    this.shouldMatchMinimum = shouldMatchMinimum;  }   public Integer getShouldMatchMinimum() {    return shouldMatchMinimum;  }   public Map<String, Object> getRangeMap(String key) {    return Collections.unmodifiableMap(rangeFilter.get(key).toMap());  }   public List<String> getIncludes() {    return Collections.unmodifiableList(includes);  }   public boolean isNeedFilterLayer() {    return isNeedFilterLayer;  }   public void setNeedFilterLayer(boolean needFilterLayer) {    isNeedFilterLayer = needFilterLayer;  }   @Override  public boolean equals(Object o) {    // for you to write  }   @Override  public int hashCode() {    // for you to write}

小结

通过ES搜索示例,展示了如何运用注解自动化处理领域对象属性与底层ES存储字段之间的对应关系。实际上,如果想为应用对象或组件添加某种说明或注释,不妨先想想是否可以通过注解自动化处理。注解亦可用于框架自动处理对象与组件的集成(allaboutz)。Spring框架的Resource, Component, AOP,以及 Plugin 化设计思想等都是好的应用例子。


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