09 spark连接mysql数据库

1、安装启动检查Mysql服务。

mysql -u root -p

2、spark 连接mysql驱动程序。

pyspark \
> --jars /usr/local/spark/jars/mysql-connector-java-8.0.25.jar \
> --driver-class-path /usr/local/spark/jars/mysql-connector-java-8.0.25.jar

3、启动 Mysql shell，新建数据库spark，表student。

mysql> create database spark;
mysql> use spark;
mysql> create table student (id int(4), name char(20), gender char(4), age int(4));
mysql> alter table student change id id int auto_increment primary key;
mysql> insert into student values(1,'Xueqian','F',23);
mysql> insert into student values(2,'Weiliang','M',24);
mysql> select * from student;

4、spark读取MySQL数据库中的数据

>>> jdbcDF = spark.read.format("jdbc").option("url", "jdbc:mysql://localhost:3306/spark").option("driver","com.mysql.jdbc.Driver").option("dbtable", "student").option("user", "root").option("password", "hadoop").load()

5、spark向MySQL数据库写入数据

>>> from pyspark.sql.types import Row
>>> from pyspark.sql.types import StructType
>>> from pyspark.sql.types import StructField
>>> from pyspark.sql.types import StringType
>>> from pyspark.sql.types import IntegerType
>>> studentRDD = spark.sparkContext.parallelize(["3 Rongcheng M 26","4 Guanhua M 27"]).map(lambda line : line.split(" "))
>>> schema = StructType([StructField("name", StringType(), True),StructField("gender", StringType(), True),StructField("age",IntegerType(), True)])
>>> rowRDD = studentRDD.map(lambda p : Row(p[1].strip(), p[2].strip(),int(p[3])))
>>> studentDF = spark.createDataFrame(rowRDD, schema)
>>> prop = {}
>>> prop['user'] = 'root'
>>> prop['password'] = 'hadoop'
>>> prop['driver'] = "com.mysql.jdbc.Driver"
>>> studentDF.write.jdbc("jdbc:mysql://localhost:3306/spark",'student','append', prop)

mysql> use spark;
mysql> select * from student;