Spark操作外部数据源--MySQL

Posted 2021-11-23 arthurlance

操作mysql的数据:
spark.read.format("jdbc").option("url", "jdbc:mysql://localhost:3306/sparksql").option("dbtable", "sparksql.TBLS").option("user", "root").option("password", "root").option("driver", "com.mysql.jdbc.Driver").load()

java.sql.SQLException: No suitable driver

import java.util.Properties
val connectionProperties = new Properties()
connectionProperties.put("user", "root")
connectionProperties.put("password", "root")
connectionProperties.put("driver", "com.mysql.jdbc.Driver")

val jdbcDF2 = spark.read.jdbc("jdbc:mysql://localhost:3306", "sparksql.TBLS", connectionProperties)

CREATE TEMPORARY VIEW jdbcTable
USING org.apache.spark.sql.jdbc
OPTIONS (
url "jdbc:mysql://localhost:3306",
dbtable "sparksql.TBLS",
user ‘root‘,
password ‘root‘,
driver ‘com.mysql.jdbc.Driver‘
)

外部数据源综合案例
create database spark;
use spark;

CREATE TABLE DEPT(
DEPTNO int(2) PRIMARY KEY,
DNAME VARCHAR(14) ,
LOC VARCHAR(13) ) ;

INSERT INTO DEPT VALUES(10,‘ACCOUNTING‘,‘NEW YORK‘);
INSERT INTO DEPT VALUES(20,‘RESEARCH‘,‘DALLAS‘);
INSERT INTO DEPT VALUES(30,‘SALES‘,‘CHICAGO‘);
INSERT INTO DEPT VALUES(40,‘OPERATIONS‘,‘BOSTON‘);

 

 1 package com.imooc.spark
 2 
 3 import org.apache.spark.sql.SparkSession
 4 
 5 /**
 6  * 使用外部数据源综合查询Hive和MySQL的表数据
 7  */
 8 object HiveMySQLApp {
 9 
10   def main(args: Array[String]) {
11     val spark = SparkSession.builder().appName("HiveMySQLApp")
12       .master("local[2]").getOrCreate()
13 
14     // 加载Hive表数据
15     val hiveDF = spark.table("emp")
16 
17     // 加载MySQL表数据
18     val mysqlDF = spark.read.format("jdbc").option("url", "jdbc:mysql://localhost:3306").option("dbtable", "spark.DEPT").option("user", "root").option("password", "root").option("driver", "com.mysql.jdbc.Driver").load()
19 
20     // JOIN
21     val resultDF = hiveDF.join(mysqlDF, hiveDF.col("deptno") === mysqlDF.col("DEPTNO"))
22     resultDF.show
23 
24 
25     resultDF.select(hiveDF.col("empno"),hiveDF.col("ename"),
26       mysqlDF.col("deptno"), mysqlDF.col("dname")).show
27 
28     spark.stop()
29   }
30 
31 }