前往小程序,Get更优阅读体验!
立即前往
首页
学习
活动
专区
工具
TVP
发布
社区首页 >专栏 >基于Java访问Hive的JUnit5测试代码实现

基于Java访问Hive的JUnit5测试代码实现

作者头像
顾翔
发布2024-09-10 16:23:43
900
发布2024-09-10 16:23:43
举报
文章被收录于专栏:啄木鸟软件测试

根据《用Java、Python来开发Hive应用》一文,建立了使用Java、来开发Hive应用的方法,产生的代码如下(做了修改):

代码语言:javascript
复制
package com.jerry;
           
import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.PreparedStatement;
import java.sql.ResultSet;
import java.sql.ResultSetMetaData;
import java.sql.SQLException;
import java.sql.Statement;
import java.util.Map;
           
public class HiveClient {
    private static final String DRIVER_CLASS = "org.apache.hive.jdbc.HiveDriver";
    private static final String CONNECTION_URL = "jdbc:hive2://192.168.31.184:10000/demo";
    private static PreparedStatement preparedstatement;
    private static Statement statement;
    private static ResultSet resultSet = null;    
           
    //建立连接
    Connection getConnection() throws SQLException {
        try {
            Class.forName(DRIVER_CLASS);
            Connection con = DriverManager.getConnection(CONNECTION_URL);
            statement = con.createStatement();
            return con;
        } catch (ClassNotFoundException e) {
            e.printStackTrace();
            throw new SQLException(e.getMessage());
        }
    }
    
    //断开连接
    public void disconnect(Connection con) throws SQLException {
           // Close resources
        resultSet.close();
        statement.close();
        con.close();
    }    
    
    //根据query查询
    public ResultSet query(String query) throws SQLException {
           // Execute a query
        resultSet = statement.executeQuery(query);
        return resultSet;
    }
    
    //条件查询
    public ResultSet query(Connection con,String query,Mapcondition) throws SQLException {
           String where = " where ";
           int i = 0;
           int length = condition.size(); 
           String[] valuearray= new String[length];
           for (String key : condition.keySet()) {
                   String value = condition.get(key);
                   where = where+key+" = ? AND ";
                   valuearray[i] = value;
                   i++;
           }
           where = where + "1=1";    
           query = query + where;
           PreparedStatement preparedStatement = con.prepareStatement(query);
           for(int j=0;j
                  preparedStatement.setString(j+1, valuearray[j]);
           }
           resultSet = preparedStatement.executeQuery();
           return resultSet;
    }
    
    //打印查询记录
    public void printQueryResult(Connection con,String query,Mapcondition) throws SQLException {
           ResultSet resultSet = query(con,query,condition);
           //获取 ResultSet 的元数据
        ResultSetMetaData metaData = resultSet.getMetaData();
        // 获取列数
        int columnCount = metaData.getColumnCount();
              while (resultSet.next()) {
                     for (int i=1;i<=columnCount;i++) {
                            System.out.print(resultSet.getString(i)+",");
                     }    
                     System.out.println("");
        }
    }
    
    //查询并且打印数据
    public void printQueryResult(String query) throws SQLException {
           ResultSet resultSet = query(query);
           //获取 ResultSet 的元数据
        ResultSetMetaData metaData = resultSet.getMetaData();
        // 获取列数
        int columnCount = metaData.getColumnCount();
              while (resultSet.next()) {
                     for (int i=1;i<=columnCount;i++) {
                            System.out.print(resultSet.getString(i)+",");
                     }
                     System.out.println("");
        }
    }
    
    //查询并且打印数据
    public void queryAndPrint(String query) throws SQLException {
           printQueryResult(query);    
    }
    
    //查询并且打印数据
    public void queryAndPrint(Connection con,String query,Mapcondition) throws SQLException {
           printQueryResult(con,query,condition);
    }
    
    //添加数据
    public void addDataToHiveTable(Connection con,String tableName,String[] newValue) {
        try {
               String insertSql = "INSERT INTO person SELECT ?,?,?,"+newValue[3]+","+newValue[4];
               preparedstatement = con.prepareStatement(insertSql);
               preparedstatement.setInt(1, Integer.parseInt(newValue[0]));
               preparedstatement.setString(2, newValue[1]);
               preparedstatement.setInt(3, Integer.parseInt(newValue[2]));
               preparedstatement.executeUpdate();
        } catch (SQLException e) {
            e.printStackTrace();
        }    
    }
    
    //将文件中的数据加载到表中
    public void loadDataForLocal(String tableName,String path) throws SQLException {
           String query = "LOAD DATA LOCAL INPATH '"+path+"' INTO TABLE "+tableName;
           statement.execute(query);
           
    }
    
    //清空数据表
    public void truncateTable(Connection con,String tableName) throws SQLException {
           String query = "truncate table "+tableName;
           con.setAutoCommit(true); 
           Statement statement = con.createStatement();
           statement.execute(query);
    } 
}

现在,使用JUnit5来进行测试。

1)建立类全局变量

代码语言:javascript
复制
public class HiveClientTest {
    //被测类
    private static HiveClient hive = new HiveClient();
    //数据库连接
    private static Connection con;
    //存在的表名
    private static String tableName = "person";
    //不存在的表名,用于错误测试用例开发
    private static String errorTableName = "myperson";
    //正确的查询语句
    private static String query = "SELECT * FROM "+tableName;
    //错误的查询语句(查询语句中的表不存在)
    private static String errorQuery = "SELECT * FROM "+errorTableName;
    //导入数据路径
    private static String inpath = "/home/jerry/hive/person";    

2)建立@BeforeClass和@AfterClass函数

代码语言:javascript
复制
  //所有测试用例执行之前运行
  @BeforeClass
  public static void setUpBeforeClass() throws Exception {
    //建立连接
    con = hive.getConnection();    
    //从导入数据路径中导入数据,作为基础测试数据
    hive.loadDataForLocal(tableName,inpath);
  }
           
  //所有测试用例执行之后运行
   @AfterClass
    public static void tearDownAfterClass() throws Exception {
    //清空测试数据
    hive.truncateTable(con,tableName);
    //断开链接
    hive.disconnect(con);
  }

3)测试查询

代码语言:javascript
复制
//测试根据Query查询
@Test
public void testQuery() {
       try {
        //获得查询结果
        ResultSet resultSet = hive.query(query);
        //遍历查询结果
        while (resultSet.next()) {
            //验证编号行是不是数字    
            assertThat(resultSet.getInt(1),instanceOf(Integer.class));
           //验证姓名行是不是包含字符串"elite"
            assertTrue(resultSet.getString(2), resultSet.getString(2).contains("elite"));
            //验证年龄行是不是数字
            assertThat(resultSet.getInt(3),instanceOf(Integer.class));
            //验证爱好行是不是为"[\"basketball\",\"music\",\"dance\"]"
            assertEquals("[\"basketball\",\"music\",\"dance\"]",resultSet.getString(4));
            //验证地址行是不是为"{\"address\":\"xx\"}"
            assertEquals("{\"address\":\"xx\"}",resultSet.getString(5));
          }
         } catch (SQLException e) {
            // TODO Auto-generated catch block
             e.printStackTrace();
          }
          //测试错误的Query
          Assertions.assertThrows(SQLException.class, () -> hive.query(errorQuery));
       }
           
//测试根据条件查询-一个条件    
@Test
public void testQueryWitchOneCondition() {
  //构建查询条件
  Mapcondition = new HashMap();
  condition.put("name","elite0");
  try {
    //条件查询
    ResultSet resultSet = hive.query(con,query,condition);
    //遍历查询结果
    while (resultSet.next()) {
        //验证第一个匹配项
       assertEquals("elite0",resultSet.getString(2));
      //验证第二个匹配项
       assertEquals("10",resultSet.getString(3));
      }
    } catch (SQLException e) {
      // TODO Auto-generated catch block
      e.printStackTrace();
    }
  }
           
//测试根据条件查询-两个条件
 @Test
public void testQueryWitchTwoCondition() {
  //构建查询条件
    Mapcondition = new HashMap();
    condition.put("name","elite0");
    condition.put("age","50");
    try {
        //条件查询
        ResultSet resultSet = hive.query(con,query,condition);
        //遍历查询结果
        while (resultSet.next()) {
               //验证第一个匹配项
               assertEquals("elite0",resultSet.getString(2));
                //验证第二个匹配项
               assertEquals("50",resultSet.getString(3));
         }
    } catch (SQLException e) {
      // TODO Auto-generated catch block
      e.printStackTrace();
    }
  //测试错误的Query    
  Assertions.assertThrows(SQLException.class, ()-> hive.query(con,errorQuery,condition));
}
              
//测试根据条件查询-三个条件
@Test
public void testQueryWitchThreeCondition() {
    //构建查询条件
    Mapcondition = new HashMap();
    condition.put("id","0");
    condition.put("name","elite0");
    condition.put("age","50");
    try {
      //条件查询
       ResultSet resultSet = hive.query(con,query,condition);
      //遍历查询结果
      while (resultSet.next()) {
          //验证第一个匹配项
          assertEquals("0",resultSet.getString(1));
           //验证第一个匹配项
          assertEquals("elite0",resultSet.getString(2));    
           //验证第二个匹配项
          assertEquals("50",resultSet.getString(3));
        }
    } catch (SQLException e) {
    // TODO Auto-generated catch block
    e.printStackTrace();
    }
  }

4)测试打印结果和查询+打印结果不发生异常

代码语言:javascript
复制
       @Test
       public void testPrintQueryResult_1() {
              assertDoesNotThrow(() -> {
                     hive.printQueryResult(query);
              });
       }
       
       @Test
       public void testPrintQueryResult_2() {
              Mapcondition = new HashMap();
              condition.put("name","elite0");
              condition.put("age","50");
              assertDoesNotThrow(() -> {    
                     hive.printQueryResult(con,query,condition);
              });
       }
       
       @Test
       public void testQueryAndPrint_1() {
              assertDoesNotThrow(() -> {
                     hive.queryAndPrint(query);
              });
       }
       
       @Test
       public void testqueryAndPrint_2() {
              Mapcondition = new HashMap();
              condition.put("name","elite0");
              condition.put("age","50");
              assertDoesNotThrow(() -> {
                     hive.queryAndPrint(con,query,condition);
              });
       }

5)测试添加数据

代码语言:javascript
复制
              @Test    
            public void testAddDataToHiveTable() {
            //构造插入数据
            String like = "array('basketball', 'music', 'dance')";
           String map = "map('address','xx')";
              String[] newAddValue = {"10","elite0","50",like,map};
              //插入数据
              hive.addDataToHiveTable(con,tableName,newAddValue);
              //检查插入数据是否存到数据库中
              Mapcondition = new HashMap();
              condition.put("id","10");
              condition.put("name","elite0");
              condition.put("age","50");
              ResultSet resultSet;
              try {
                     resultSet = hive.query(con,query,condition);
                     while (resultSet.next()) {
                            assertEquals("10",resultSet.getString(1));
                            assertEquals("elite0",resultSet.getString(2));
                            assertEquals(50,resultSet.getInt(3));
                            assertEquals("[\"basketball\",\"music\",\"dance\"]",resultSet.getString(4));
                            assertEquals("{\"address\":\"xx\"}",resultSet.getString(5));    
                     }
              } catch (SQLException e) {
                     // TODO Auto-generated catch block
                     e.printStackTrace();
              }
              String[] newAddErrorValue = {"ab","elite0","cd",like,map};
              //测试ErrorValue
              Assertions.assertThrows(NumberFormatException.class, () -> hive.addDataToHiveTable(con,tableName,newAddErrorValue));
              String[] newAddErrorValue_1 = {"11","elite0","50",like};
              //测试ErrorValue
              Assertions.assertThrows(ArrayIndexOutOfBoundsException.class, () -> hive.addDataToHiveTable(con,tableName,newAddErrorValue_1));
       }  
本文参与 腾讯云自媒体同步曝光计划,分享自微信公众号。
原始发表:2024-09-09,如有侵权请联系 cloudcommunity@tencent.com 删除

本文分享自 微信公众号,前往查看

如有侵权,请联系 cloudcommunity@tencent.com 删除。

本文参与 腾讯云自媒体同步曝光计划  ,欢迎热爱写作的你一起参与!

评论
登录后参与评论
0 条评论
热度
最新
推荐阅读
相关产品与服务
腾讯云服务器利旧
云服务器(Cloud Virtual Machine,CVM)提供安全可靠的弹性计算服务。 您可以实时扩展或缩减计算资源,适应变化的业务需求,并只需按实际使用的资源计费。使用 CVM 可以极大降低您的软硬件采购成本,简化 IT 运维工作。
领券
问题归档专栏文章快讯文章归档关键词归档开发者手册归档开发者手册 Section 归档