以下操作属于本地模式操作：
1、在Eclipse4.5中建立工程RDDToJDBC，并创建一个文件夹lib用于放置第三方驱动包
[[email protected] software]$ cd /project/RDDToJDBC/
[[email protected] RDDToJDBC]$ mkdir -p lib
[[email protected] RDDToJDBC]$ ls
bin lib src
2、添加必要的环境
2.1、将MySql的jar包拷贝到工程目录RDDToJDBC下的lib目录下
[[email protected] software]$ cp -a /software/hive-1.2.2/lib/mysql-connector-java-3.0.17-ga-bin.jar /project/RDDToJDBC/lib/
2.1、将Spark的开发库Spark2.1.1-All追加到RDDToJDBC工程的classpath路径中去(可以通过添加用户库的方式来解决)；Spark2.1.1-All中包含哪些包，请点击此处
3、准备spark的源数据：
[[email protected] spark]$ cd /home/hadoop/test/jdbc/ [[email protected] jdbc]$ ls myuser testJDBC.txt [[email protected] jdbc]$ cat myuser lisi 123456 165 1998-9-9 lisan 123ss 187 2009-10-19 wangwu 123qqwe 177 1990-8-3
4、开发源码：
package com.mmzs.bigdata.spark.core.local;
import java.io.File;
import java.sql.Connection;
import java.sql.Date;
import java.sql.DriverManager;
import java.sql.PreparedStatement;
import java.sql.SQLException;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.api.java.function.VoidFunction;
import scala.Tuple4;
public class TestMain {
/**
* 全局计数器
*/
private static int count;
/**
* 数据库连接
*/
private static Connection conn;
/**
* 预编译语句
*/
private static PreparedStatement pstat;
private static final File OUT_PATH=new File("/home/hadoop/test/jdbc/output");
static{
delDir(OUT_PATH);
try {
String sql="insert into t_user(userName,passWord,height,birthday) values(?,?,?,?)";
String url="jdbc:mysql://127.0.0.1:3306/test?useUnicode=true&characterEncoding=utf8";
Class.forName("com.mysql.jdbc.Driver");
conn=DriverManager.getConnection(url, "root", "123456");
pstat=conn.prepareStatement(sql);
} catch (ClassNotFoundException e) {
e.printStackTrace();
} catch (SQLException e) {
e.printStackTrace();
}
}
/**
* 删除任何目录或文件
* @param f
*/
private static void delDir(File f){
if(!f.exists())return;
if(f.isFile()||(f.isDirectory()&&f.listFiles().length==0)){
f.delete();
return;
}
File[] files=f.listFiles();
for(File fp:files)delDir(fp);
f.delete();
}
private static void batchSave(Tuple4<String,String,Double,Date> line,boolean isOver){
try{
pstat.setString(1, line._1());
pstat.setString(2, line._2());
pstat.setDouble(3, line._3());
pstat.setDate(4, line._4());
if(isOver){//如果结束了循环则直接写磁盘
pstat.addBatch();
pstat.executeBatch();
pstat.clearBatch();
pstat.clearParameters();
}else{ //如果没有结束则将sql语句添加到批处理中去
pstat.addBatch();
count++;
if(count%100==0){ //如果满一个批次就提交一次批处理操作
pstat.executeBatch();
pstat.clearBatch();
pstat.clearParameters();
}
}
}catch(SQLException e){
e.printStackTrace();
}
}
/**
* 将RDD集合中的数据存储到关系数据库MYSql中去
* @param statResRDD
*/
private static void saveToDB(JavaRDD<String> statResRDD){
final long rddNum=statResRDD.count();
statResRDD.foreach(new VoidFunction<String>(){
private long count=0;
@Override
public void call(String line) throws Exception {
String[] fields=line.split(" ");
String userName=fields[1];
String passWord=fields[2];
Double height=Double.parseDouble(fields[3]);
Date birthday=Date.valueOf(fields[4]);
Tuple4<String,String,Double,Date> fieldTuple=new Tuple4<String,String,Double,Date>(userName,passWord,height,birthday);
if(++count<rddNum){
batchSave(fieldTuple,false);
}else{
batchSave(fieldTuple,true);
}
}
});
try{
if(null!=pstat)pstat.close();
if(null!=conn)conn.close();
}catch(SQLException e){
e.printStackTrace();
}
}
public static void main(String[] args) {
SparkConf conf=new SparkConf();
conf.setAppName("Java Spark local");
conf.setMaster("local");
//根据Spark配置生成Spark上下文
JavaSparkContext jsc=new JavaSparkContext(conf);
//读取本地的文本文件成内存中的RDD集合对象
JavaRDD<String> lineRdd=jsc.textFile("/home/hadoop/test/jdbc/myuser");
//...........其它转换或统计操作................
//存储统计之后的结果到磁盘文件中去
//lineRdd.saveAsTextFile("/home/hadoop/test/jdbc/output");
saveToDB(lineRdd);
//关闭Spark上下文
jsc.close();
}
}
5、初始化MySql数据库服务(节点在192.168.154.134上)
A、启动MySql数据库服务
[[email protected] ~]# cd /software/mysql-5.5.32/multi-data/3306/ [[email protected] 3306]# ls data my.cnf my.cnf.bak mysqld [[email protected] 3306]# ./mysqld start Starting MySQL...
B、建立test库
[[email protected] 3306]# cd /software/mysql-5.5.32/bin/ [[email protected] bin]# ./mysql -h192.168.154.134 -P3306 -uroot -p123456 -e "show databases;" +--------------------+ | Database | +--------------------+ | information_schema | | mysql | | performance_schema | +--------------------+ [[email protected] bin]# ./mysql -h192.168.154.134 -P3306 -uroot -p123456 -e "create database test character set utf8;" [[email protected] bin]# ./mysql -h192.168.154.134 -P3306 -uroot -p123456 -e "show databases;" +--------------------+ | Database | +--------------------+ | information_schema | | mysql | | performance_schema | | test | +--------------------+
C、建立myuser表：
[[email protected] bin]# ./mysql -h192.168.154.134 -P3306 -uroot -p123456 -e "create table if not exists test.myuser(username varchar(30),password varchar(30),height double(10,1),birthday date)engine=myisam charset=utf8;"
[[email protected] bin]# ./mysql -h192.168.154.134 -P3306 -uroot -p123456 -e "use test;show tables;" +-------------------+ | Tables_in_test | +-------------------+ | myuser | +-------------------+ [[email protected] bin]# ./mysql -h192.168.154.134 -P3306 -uroot -p123456 -e "use test;desc test.myuser;" +-------------+--------------+-------+----+---------+-------+ | Field | Type | Null | Key| Default | Extra | +-------------+--------------+-------+----+---------+-------+ | username | varchar(30) | YES | | NULL | | | password | varchar(30) | YES | | NULL | | | height | double(10,1) | YES | | NULL | NULL | | birthday | date | YES | | NULL | | +-------------+--------------+-------+----+---------+-------+ #目前数据库表中还没有数据 [[email protected] bin]# ./mysql -h192.168.154.134 -P3306 -uroot -p123456 -e "select * from test.myuser;"
6、运行并查看数据库中结果
6.1、在Eclipse4.5中直接运行Spark代码，观察Eclipse控制台输出
6.2、检查在关系数据库MySql中是否已经存在数据
原文地址：https://www.cnblogs.com/mmzs/p/8476286.html
时间： 2024-08-29 18:48:38