Spring data Jpa操作ES

Spring data Jpa操作ES

在ElasticsearchRepository中我们可以使用Not Add Like Or Between等关键词自动创建查询语句。

记住上面这句话，代码示例：

public interface EmployeeRepository extends ElasticsearchRepository {

    /**
     * 通过ID字段查询
     */
    Employee queryEmployeeById(String id);

}

打开这个类我们发现：

@NoRepositoryBean
public interface ElasticsearchRepository extends ElasticsearchCrudRepository {
     S index(S var1);

    Iterable search(QueryBuilder var1);

    Page search(QueryBuilder var1, Pageable var2);

    Page search(SearchQuery var1);

    Page searchSimilar(T var1, String[] var2, Pageable var3);

    void refresh();

    Class getEntityClass();
}

那么具体关键字有哪些呢？下面一一列出：

关键字	使用示例	等同于的ES查询
And	findByNameAndPrice	{“bool” : {“must” : [ {“field” : {“name” : “?”}}, {“field” : {“price” : “?”}} ]}}
Or	findByNameOrPrice	{“bool” : {“should” : [ {“field” : {“name” : “?”}}, {“field” : {“price” : “?”}} ]}}
Is	findByName	{“bool” : {“must” : {“field” : {“name” : “?”}}}}
Not	findByNameNot	{“bool” : {“must_not” : {“field” : {“name” : “?”}}}}
Between	findByPriceBetween	{“bool” : {“must” : {“range” : {“price” : {“from” : ?,”to” : ?,”include_lower” : true,”include_upper” : true}}}}}
LessThanEqual	findByPriceLessThan	{“bool” : {“must” : {“range” : {“price” : {“from” : null,”to” : ?,”include_lower” : true,”include_upper” : true}}}}}
GreaterThanEqual	findByPriceGreaterThan	{“bool” : {“must” : {“range” : {“price” : {“from” : ?,”to” : null,”include_lower” : true,”include_upper” : true}}}}}
Before	findByPriceBefore	{“bool” : {“must” : {“range” : {“price” : {“from” : null,”to” : ?,”include_lower” : true,”include_upper” : true}}}}}
After	findByPriceAfter	{“bool” : {“must” : {“range” : {“price” : {“from” : ?,”to” : null,”include_lower” : true,”include_upper” : true}}}}}
Like	findByNameLike	{“bool” : {“must” : {“field” : {“name” : {“query” : “? *”,”analyze_wildcard” : true}}}}}
StartingWith	findByNameStartingWith	{“bool” : {“must” : {“field” : {“name” : {“query” : “? *”,”analyze_wildcard” : true}}}}}
EndingWith	findByNameEndingWith	{“bool” : {“must” : {“field” : {“name” : {“query” : “*?”,”analyze_wildcard” : true}}}}}
Contains/Containing	findByNameContaining	{“bool” : {“must” : {“field” : {“name” : {“query” : “?”,”analyze_wildcard” : true}}}}}
In	findByNameIn(Collectionnames)	{“bool” : {“must” : {“bool” : {“should” : [ {“field” : {“name” : “?”}}, {“field” : {“name” : “?”}} ]}}}}
NotIn	findByNameNotIn(Collectionnames)	{“bool” : {“must_not” : {“bool” : {“should” : {“field” : {“name” : “?”}}}}}}
True	findByAvailableTrue	{“bool” : {“must” : {“field” : {“available” : true}}}}
False	findByAvailableFalse	{“bool” : {“must” : {“field” : {“available” : false}}}}
OrderBy	findByAvailableTrueOrderByNameDesc	{“sort” : [{ “name” : {“order” : “desc”} }],”bool” : {“must” : {“field” : {“available” : true}}}}

那么通过上述我们就可以写出一个简单的例子：

  @Autowired
    private EmployeeRepository employeeRepository; 


 /**
     * 查询
     */
    @RequestMapping("/query/{id}")
    public Employee query(@PathVariable("id") String id) {

        Employee accountInfo = employeeRepository.queryEmployeeById(id);
        System.err.println(accountInfo.toString());

        return accountInfo;
    }
 

/**
     * 聚合查询测试
     */
    @RequestMapping("/querySum")
    public Iterable querySum() {
        /**
         * 创建查询体
         */
        BoolQueryBuilder builder = QueryBuilders.boolQuery();

        /**
         * 设置聚合条件
         */
        RangeQueryBuilder query = QueryBuilders.rangeQuery("age").from("30").to("60");
        
        /**
         * 将聚合条件设置入查询体之中
         */
        builder.must(query);

        Iterable search = employeeRepository.search(builder);

        return search;
    }

至此最基本的功能已经完成