【大数据笔记】- Spark-SQL读写MySQL

Spark-SQL很强大，可以读写各种JDBC的库，先来一弹MySQL的，超简单：

CREATE TABLE t_realtime.test_spark2mysql (
  id bigint(11) NOT NULL AUTO_INCREMENT,
  name varchar(30) DEFAULT NULL,
  age int DEFAULT NULL,
  PRIMARY KEY (id)
) ENGINE=InnoDB;


INSERT INTO t_realtime.test_spark2mysql
(name, age)
VALUES('张三', 23);
INSERT INTO t_realtime.test_spark2mysql
(name, age)
VALUES('李四', 33);
INSERT INTO t_realtime.test_spark2mysql
(name, age)
VALUES('王五', 66);

## 注：如果集群机class-path上已经有了mysql jar就不需要提交了，否则要准备好mysql jdbc jar包
## 在当前提交的客户机上准备jar包mysql-connector-java-5.1.45-bin.jar
## --driver-class-path：指定Driver端所需jar  
## --jars ：指定executor所需要jar
spark-sql --driver-class-path /home/dw/hubg/mysql-connector-java-5.1.45-bin.jar 
--jars /home/dw/hubg/mysql-connector-java-5.1.45-bin.jar

-- 创建spark mysql的临时映射表
CREATE TEMPORARY VIEW test_spark2mysql
USING org.apache.spark.sql.jdbc
OPTIONS (
  url "jdbc:mysql://10.0.马赛克:5506",
  dbtable "t_realtime.test_spark2mysql",
  user '马赛克_writer',
  password '马赛克'
);

-- 写入一条数据
INSERT into TABLE test_spark2mysql
SELECt 
101
,'hubg' as name
,26 as age ;

-- 查询表中结果
select * from test_spark2mysql limit 10;

 完成，收工！！