HiveQL 查询语言 Select Group By
本章介绍了SELECT语句的GROUP BY子句。GROUP BY子句用于分类所有记录结果的特定集合列。它被用来查询一组记录。
语法
GROUP BY子句的语法如下:
SELECT [ALL | DISTINCT] select_expr, select_expr, ... FROM table_reference [WHERE where_condition] [GROUP BY col_list] [HAVING having_condition] [ORDER BY col_list]] [LIMIT number];
示例
让我们以SELECT... GROUP BY子句为例。假设员工表有如下Id, Name, Salary, Designation, 和 Dept字段。产生一个查询以检索每个部门的员工数量。
+------+--------------+-------------+-------------------+--------+ | ID | Name | Salary | Designation | Dept | +------+--------------+-------------+-------------------+--------+ |1201 | Gopal | 45000 | Technical manager | TP | |1202 | Manisha | 45000 | Proofreader | PR | |1203 | Masthanvali | 40000 | Technical writer | TP | |1204 | Krian | 45000 | Proofreader | PR | |1205 | Kranthi | 30000 | Op Admin | Admin | +------+--------------+-------------+-------------------+--------+
下面使用上述业务情景查询检索员工的详细信息。
hive> SELECT Dept,count(*) FROM employee GROUP BY DEPT;
成功执行查询后,能看到以下回应:
+------+--------------+ | Dept | Count(*) | +------+--------------+ |Admin | 1 | |PR | 2 | |TP | 3 | +------+--------------+
JDBC 程序
下面给出的是JDBC程序应用对给定的GROUP BY子句例子。
import java.sql.SQLException; import java.sql.Connection; import java.sql.ResultSet; import java.sql.Statement; import java.sql.DriverManager; public class HiveQLGroupBy { 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 Dept,count(*) ” + “FROM employee GROUP BY DEPT; ”); System.out.println(" Dept \t count(*)"); while (res.next()) { System.out.println(res.getString(1) + " " + res.getInt(2)); } con.close(); } }
保存程序在一个名为HiveQLGroupBy.java文件。使用下面的命令来编译并执行这个程序。
$ javac HiveQLGroupBy.java $ java HiveQLGroupBy
输出:
Dept Count(*) Admin 1 PR 2 TP 3
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欢迎任何形式的转载,但请务必注明出处,尊重他人劳动共创优秀实例教程
转载请注明:文章转载自:代码驿站 [http:/www.codeinn.net]
本文标题:HiveQL 查询语言 Select Group By
本文地址:http://www.codeinn.net/hive/1759.html