使用druid管理Hive的连接池

前言：HiveServer2可以使用多种语言作为客户端，连接改服务，进行Hive数据的查询与处理，之前使用的是自己的维护的连接池，后来做了一下改进，使用的了阿里的druid维护这个连接池，我使用的是Maven,下面就介绍一下我的整个项目的配置

1. pom.xml文件的配置

    <dependency>
       <groupId>org.springframework.bootgroupId>
       <artifactId>spring-boot-starter-jdbcartifactId>
    dependency>
    <dependency>
       <groupId>org.apache.hivegroupId>
       <artifactId>hive-jdbcartifactId>
       <version>2.1.1version>
   dependency>
   <dependency>
       <groupId>com.alibabagroupId>
       <artifactId>fastjsonartifactId>
       <version>1.2.44version>
   dependency>
   <dependency>
       <groupId>com.alibabagroupId>
       <artifactId>druidartifactId>
       <version>1.1.5version>
   dependency>
   

2. application.yml中的配置,各个配置的含义，我就不一一说，网上对此有比较详细的描述

hive:
  jdbc: jdbc:hive2://127.0.0.1:10086/default;transportMode=http;httpPath=cliservice
  type: com.alibaba.druid.pool.DruidDataSource
  driver-class-name: org.apache.hive.jdbc.HiveDriver
  user: root
  password: 123456
  max-active: 5
  initialSize: 3
  maxWait: 60000
  minIdle: 1
  timeBetweenEvictionRunsMillis: 60000
  minEvictableIdleTimeMillis: 300000
  testWhileIdle: true
  validationQuery: SELECT 1
  testOnBorrow: false
  testOnReturn: false
  poolPreparedStatements: true
  maxOpenPreparedStatements: 50
  removeAbandoned: true
  removeAbandonedTimeout: 180

1. 连接池的配置的

public class HiveDataSource {
    @Autowired
    private Environment env;
    @Bean(name = "hiveJdbcDataSource")
    @Qualifier("hiveJdbcDataSource")
    public DataSource dataSource() {
        DruidDataSource dataSource = new DruidDataSource();
        dataSource.setUrl(env.getProperty("hive.jdbc"));
        dataSource.setDriverClassName(env.getProperty("hive.driver-class-name"));
        dataSource.setUsername(env.getProperty("hive.user"));
        dataSource.setPassword(env.getProperty("hive.password"));
        dataSource.setTestWhileIdle(Boolean.valueOf(env.getProperty("hive.testWhileIdle")));
        dataSource.setValidationQuery(env.getProperty("hive.validationQuery"));
        dataSource.setMaxActive(Integer.valueOf(env.getProperty("hive.max-active")));
        dataSource.setInitialSize(Integer.valueOf(env.getProperty("hive.initialSize")));
        dataSource.setRemoveAbandoned(Boolean.valueOf(env.getProperty("hive.removeAbandoned")));
        dataSource.setRemoveAbandonedTimeout(Integer.valueOf(env.getProperty("hive.removeAbandonedTimeout")));
        return dataSource;
    }
    @Bean(name = "hiveJdbcTemplate")
    public JdbcTemplate hiveJdbcTemplate(@Qualifier("hiveJdbcDataSource") DataSource dataSource) {
        return new JdbcTemplate(dataSource);
    }
}

1. 使用方法

   1. 注入Template

      @Autowired
      @Qualifier("hiveJdbcTemplate")
      JdbcTemplate hiveJdbcTemplate;

   2. 可以尽情的使用spring JDBCTemplate提供的方法查询数据,特别的爽

      ListString, Object>> mapList = hiveJdbcTemplate.queryForList(sql);
      int size = columns.size();
      ListString, String>> resultList = new ArrayListString, String>>();
      for (Map<String, Object> stringMap : mapList) {
          Map<String, String> lineMap = new HashMap<>(size);
          for (int i = 0; i < size; i++) {
              Object columnValue = stringMap.get(tableName + "." + columns.get(i));
              if (columnValue != null) {
                  lineMap.put(columns.get(i), stringMap.get(tableName + "." + columns.get(i)).toString());
              } else {
                  lineMap.put(columns.get(i), "");
              }
          }
          resultList.add(lineMap);
      }