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scala 操作数据库的方法

2019-10-16 18:07 1941 查看

1、定义数据库连接

package com.web.dataSource

import com.alibaba.druid.pool.DruidDataSource

object MySqlDataSource {

val driver = "com.mysql.jdbc.Driver"
val url = "jdbc:mysql://127.0.0.1:3306"
val username = "root"
val password = "root"

val connectionPool = new DruidDataSource()
connectionPool.setUsername(username)
connectionPool.setPassword(password)
connectionPool.setDriverClassName(driver)
connectionPool.setUrl(url)
connectionPool.setValidationQuery("select 1")
connectionPool.setInitialSize(15)
connectionPool.setMinIdle(10)
connectionPool.setMaxActive(100)
connectionPool.setRemoveAbandoned(true)
connectionPool.setRemoveAbandonedTimeoutMillis(180000)
connectionPool.setMaxWait(5000)
connectionPool.setTestOnBorrow(false)
connectionPool.setTestOnReturn(false)

}

2、执行查询

def getOptions(uid:Int) ={

val connection = MySqlDataSource.connectionPool.getConnection
var sql =
s""" select username,password,sex
|from user

|where uid = ?

""".stripMargin

var stmt = connection.prepareStatement(sql)

stmt.setInt(1, uid)

var resultSet = stmt.executeQuery()

var resultListMap = List[Map[String,String]]()

//获取结果

while(resultSet.next()){

resultListMap = resultListMap :+ Map(

"username"->resultSet.getString("username"),

"password"->resultSet.getString("password"),

"sex"->resultSet.getInt("sex"),

)

}

//关闭连接

stmt.close()

connection .close()

//返回结果

resultListMap

}

3、插入数据

object UpdateLocation {

def main(args: Array[String]): Unit = {
val conf = new SparkConf().setAppName("UpdateLocation").setMaster("local[2]")
val sc = new SparkContext(conf)
var conn: Connection = null
var ps: PreparedStatement = null
try {
val sql = "INSERT INTO location_info(location,accesse_date,counts) VALUES (?,?,?)"
conn = DriverManager.getConnection("jdbc:mysql://192.168.126.31:3306/sparkdatabase?useUnicode=true&characterEncoding=utf-8", "root", "Zhm@818919")
ps = conn.prepareStatement(sql)
ps.setString(1, "深圳")
ps.setString(2, "2018-7-2")
ps.setInt(3, 122)
ps.execute()
} catch {
case e: Exception => println("myException")
} finally {
if (conn != null) {
conn.close()
}
if (ps != null) {
ps.close()
}
}
sc.stop()
}
}

4、删除操作

object DeleteLocation {

def main(args: Array[String]): Unit = {
val conf = new SparkConf().setAppName("UpdateLocation").setMaster("local[2]")
val sc = new SparkContext(conf)
var conn: Connection = null
var ps: PreparedStatement = null
try {
val sql = "delete from location_info where location = ?"
conn = DriverManager.getConnection("jdbc:mysql://192.168.126.31:3306/sparkdatabase?useUnicode=true&characterEncoding=utf-8", "root", "Zhm@818919")
ps = conn.prepareStatement(sql)
ps.setString(1, "深圳")
ps.execute()
} catch {
case e: Exception => println("myException")
} finally {
if (conn != null) {
conn.close()
}
if (ps != null) {
ps.close()
}
}
sc.stop()
}
}

5、更新操作

object InsertLocation {

def main(args: Array[String]): Unit = {
val conf = new SparkConf().setAppName("UpdateLocation").setMaster("local[2]")
val sc = new SparkContext(conf)
var conn: Connection = null
var ps: PreparedStatement = null
try {
val sql = "update location_info set location=? where id = ?";
conn = DriverManager.getConnection("jdbc:mysql://192.168.126.31:3306/sparkdatabase?useUnicode=true&characterEncoding=utf-8", "root", "Zhm@818919")
ps = conn.prepareStatement(sql)
ps.setString(1, "深圳")
ps.setInt(2,26)
ps.execute()
} catch {
case e: Exception => println("myException")
} finally {
if (conn != null) {
conn.close()
}
if (ps != null) {
ps.close()
}
}
sc.stop()
}
}

以上就是本文的全部内容,希望对大家的学习有所帮助

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标签:  scala 数据库