hive select where

Hive查询语言(HiveQL)是一种查询语言,Hive处理在Metastore分析结构化数据。本章介绍了如何使用SELECT语句的WHERE子句。

SELECT语句用来从表中检索的数据。 WHERE子句中的工作原理类似于一个条件。它使用这个条件过滤数据,并返回给出一个有限的结果。内置运算符和函数产生一个表达式,满足以下条件。

语法

下面给出的是SELECT查询的语法:

SELECT [ALL | DISTINCT] select_expr, select_expr, ...

FROM table_reference

[WHERE where_condition]

[GROUP BY col_list]

[HAVING having_condition]

[CLUSTER BY col_list | [DISTRIBUTE BY col_list] [SORT BY col_list]]

[LIMIT number];

示例

让我们举个例子SELECT ... WHERE子句。假设employee表有如下 Id, Name, Salary, Designation, 和 Dept等字段,生成一个查询检索超过30000薪水的员工详细信息。

+------+--------------+-------------+-------------------+--------+

 ID   | Name         | Salary      | Designation       | Dept   |

+------+--------------+-------------+-------------------+--------+

|1201  | Gopal        | 45000       | Technical manager | TP     |

|1202  | Manisha      | 45000       | Proofreader       | PR     |

|1203  | Masthanvali  | 40000       | Technical writer  | TP     |

|1204  | Krian        | 40000       | Hr Admin          | HR     |

|1205  | Kranthi      | 30000       | Op Admin          | Admin  |

+------+--------------+-------------+-------------------+--------+

下面的查询检索使用上述业务情景的员工详细信息:

hive> SELECT * FROM employee WHERE salary>30000;

成功执行查询后,能看到以下回应:

+------+--------------+-------------+-------------------+--------+

| ID   | Name         | Salary      | Designation       | Dept   |

+------+--------------+-------------+-------------------+--------+

|1201  | Gopal        | 45000       | Technical manager | TP     |

|1202  | Manisha      | 45000       | Proofreader       | PR     |

|1203  | Masthanvali  | 40000       | Technical writer  | TP     |

|1204  | Krian        | 40000       | Hr Admin          | HR     |

+------+--------------+-------------+-------------------+--------+

 

JDBC 程序

JDBC程序应用,其中针对给定的例子如下子句。import java.sql.SQLException;

import java.sql.Connection;

import java.sql.ResultSet;

import java.sql.Statement;

import java.sql.DriverManager;

 

public class HiveQLWhere {

   private static String driverName = "org.apache.hadoop.hive.jdbc.HiveDriver";

   

   public static void main(String[] args) throws SQLException {

   

      // Register driver and create driver instance

      Class.forName(driverName);

      

      // get connection

      Connection con = DriverManager.getConnection("jdbc:hive://localhost:10000/userdb", "", "");

      

      // create statement

      Statement stmt = con.createStatement();

      

      // execute statement

      Resultset res = stmt.executeQuery("SELECT * FROM employee WHERE salary>30000;");

      

      System.out.println("Result:");

      System.out.println(" ID \t Name \t Salary \t Designation \t Dept ");

      

      while (res.next()) {

         System.out.println(res.getInt(1) + " " + res.getString(2) + " " + res.getDouble(3) + " " + res.getString(4) + " " + res.getString(5));

      }

      con.close();

   }

}

保存程序在一个名为HiveQLWhere.java文件。使用下面的命令来编译和执行这个程序。

$ javac HiveQLWhere.java

$ java HiveQLWhere

输出:

ID       Name           Salary      Designation          Dept

1201     Gopal          45000       Technical manager    TP

1202     Manisha        45000       Proofreader          PR

1203     Masthanvali    40000       Technical writer     TP

1204     Krian          40000       Hr Admin             HR

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