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Elasticsearch • medcl 回复了问题 • 2 人关注 • 1 个回复 • 5529 次浏览 • 2017-03-25 10:57 • 来自相关话题

elasticsearch-query-tookit一款基于SQL查询elasticsearch编程工具包，支持SQL解析生成DSL，支持JDBC驱动，支持和Spring、MyBatis集成

Elasticsearch • chennanlcy 发表了文章 • 1 个评论 • 9784 次浏览 • 2017-03-24 23:09 • 来自相关话题

`elasticsearch-query-tookit`是一款基于SQL查询elasticsearch编程工具包，支持SQL解析生成DSL，支持JDBC驱动，支持和Spring、MyBatis集成，提供Java编程接口可基于此工具包二次开发

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项目地址：https://github.com/gitchennan/ ... olkit

一、SQL解析生成DSL使用示例
SQL语法帮助手册戳这里: https://github.com/gitchennan/ ... p-doc

String sql = "select * from index.order where status='SUCCESS' and price > 100 order by nvl(pride, 0) asc routing by 'JD' limit 0, 20";



ElasticSql2DslParser sql2DslParser = new ElasticSql2DslParser();

//解析SQL

ElasticSqlParseResult parseResult = sql2DslParser.parse(sql);

//生成DSL(可用于rest api调用)

String dsl = parseResult.toDsl();



//toRequest方法接收一个clinet对象参数

SearchRequestBuilder searchReq = parseResult.toRequest(esClient);

//执行查询

SearchResponse response = searchReq.execute().actionGet();

生成的DSL如下：

{

  "from" : 0,

  "size" : 20,

  "query" : {

    "bool" : {

      "filter" : {

        "bool" : {

          "must" : [ {

            "term" : {

              "status" : "SUCCESS"

            }

          }, {

            "range" : {

              "price" : {

                "from" : 100,

                "to" : null,

                "include_lower" : false,

                "include_upper" : true

              }

            }

          } ]

        }

      }

    }

  },

  "sort" : [ {

    "pride" : {

      "order" : "asc",

      "missing" : 0

    }

  } ]

}

二、集成MyBatis、Spring

首先在Spring配置文件中增加如下代码
1. 指定driverClassName：org.elasticsearch.jdbc.api.ElasticDriver
2. 指定连接ES的连接串：jdbc:elastic:192.168.0.109:9300/product_cluster
3. 创建一个SqlMapClient对象，并指定sqlMapConfig.xml路径

<bean id="elasticDataSource" class="org.elasticsearch.jdbc.api.ElasticSingleConnectionDataSource" destroy-method="destroy">

    <property name="driverClassName" value="org.elasticsearch.jdbc.api.ElasticDriver" />

    <property name="url" value="jdbc:elastic:192.168.0.109:9300/product_cluster" />

</bean>



<bean id="sqlMapClient" class="org.springframework.orm.ibatis.SqlMapClientFactoryBean">

    <property name="dataSource" ref="elasticDataSource" />

    <property name="configLocation" value="classpath:sqlMapConfig.xml"/>

</bean>

sqlMapConfig.xml文件内容如下：

<sqlMapConfig>

    <settings

            cacheModelsEnabled="true"

            lazyLoadingEnabled="true"

            enhancementEnabled="true"

            maxSessions="64"

            maxTransactions="20"

            maxRequests="128"

            useStatementNamespaces="true"/>



    <sqlMap resource="sqlmap/PRODUCT.xml"/>



</sqlMapConfig>

PRODUCT.xml文件中声明select sql语句

<sqlMap namespace="PRODUCT">

    <select id="getProductByCodeAndMatchWord" parameterClass="java.util.Map" resultClass="java.lang.String">

        SELECT *

        FROM index.product

        QUERY match(productName, #matchWord#) or prefix(productName, #prefixWord#, 'boost:2.0f')

        WHERE productCode = #productCode#

        AND advicePrice > #advicePrice#

        AND $$buyers.buyerName IN ('china', 'usa')

        ROUTING BY #routingVal#

    </select>

</sqlMap>

编写对应DAO代码：

@Repository

public class ProductDao {

    @Autowired

    @Qualifier("sqlMapClient")

    private SqlMapClient sqlMapClient;





    public List<Product> getProductByCodeAndMatchWord(String matchWord, String productCode) throws SQLException {

        Map<String, Object> paramMap = Maps.newHashMap();

        paramMap.put("productCode", productCode);

        paramMap.put("advicePrice", 1000);

        paramMap.put("routingVal", "A");

        paramMap.put("matchWord", matchWord);

        paramMap.put("prefixWord", matchWord);

        String responseGson = (String) sqlMapClient.queryForObject("PRODUCT.getProductByCodeAndMatchWord", paramMap);

        

        //反序列化查询结果

        JdbcSearchResponseResolver responseResolver = new JdbcSearchResponseResolver(responseGson);

        JdbcSearchResponse<Product> searchResponse = responseResolver.resolveSearchResponse(Product.class);



        return searchResponse.getDocList();



    }

}

编写测试方法

@Test

public void testProductQuery() throws Exception {

    BeanFactory factory = new ClassPathXmlApplicationContext("application-context.xml");

    ProductDao productDao = factory.getBean(ProductDao.class);

    

    List<Product> productList = productDao.getProductByCodeAndMatchWord("iphone 6s", "IP_6S");

    for (Product product : productList) {

        System.out.println(product.getProductName());

    }

}