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这期内容当中小编将会给大家带来有关如何使用scala 操作数据库，文章内容丰富且以专业的角度为大家分析和叙述，阅读完这篇文章希望大家可以有所收获。
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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()
}
}上述就是小编为大家分享的如何使用scala 操作数据库了，如果刚好有类似的疑惑，不妨参照上述分析进行理解。如果想知道更多相关知识，欢迎关注创新互联行业资讯频道。