Spark复习七：Spark 连接并操作Mysql

1.步骤：

                  1.spark 连接并操作mysql
                  2.退出已有连接的spark：scala> :q
                  3.加载mysql的jar

1.连接Mysql：

[root@spark1 spark-2.4.5-bin-hadoop2.7]# spark-shell --jars /home/data/jars/mysql-connector-java-5.1.38.jar 
Spark context Web UI available at http://spark1:4040
Spark context available as 'sc' (master = local[*], app id = local-1582001587565).
Spark session available as 'spark'.
Welcome to
      ____              __
     / __/__  ___ _____/ /__
    _\ \/ _ \/ _ `/ __/  '_/
   /___/ .__/\_,_/_/ /_/\_\   version 2.4.5
      /_/
         
Using Scala version 2.11.12 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_162)
Type in expressions to have them evaluated.
Type :help for more information.

2.在mysql端创建event数据库：

mysql> create database if not exists event;
Query OK, 1 row affected (0.00 sec)

mysql> use event;
Database changed
mysql> 

3.连接数据库：

scala> import java.util.Propert
Properties   PropertyPermission   PropertyResourceBundle
//在属性中加入用户名、密码、驱动
scala> import java.util.Properties
import java.util.Properties

scala> val props=new Properties()
props: java.util.Properties = {}

scala> props.put("driver","com.mysql.jdbc.Driver")
res2: Object = null

scala> props.put("user","root")
res3: Object = null

scala> props.put("password","root")
res4: Object = null

4.写入mysql：
scala> userDF.write.mode("overwrite").jdbc("jdbc:mysql://flume:3306/event","users",props)
                                                                                
5.在myql端查询：

mysql> select * from users limit 10;