ip解析存放MySQL

package ipAndAccress

import org.apache.spark.rdd.RDD
import org.apache.spark.{SparkConf, SparkContext}

import scala.io.Source

case object EtlIp {
  def main(args: Array[String]): Unit = {
    val conf: SparkConf = new SparkConf().setAppName("ipAndAccress").setMaster("local")
    val sc: SparkContext = new SparkContext(conf)

    //广播文件
    val strings: Iterator[String] = Source.fromFile("D:\\bigdata\\project\\scala2\\src\\main\\scala\\ipAndAccress\\ip.txt").getLines()
    val arr = strings.map(t=>{
      val arr: Array[String] = t.split("\\|")
      val start_time: Long = arr(2).toLong
      val end_time: Long = arr(3).toLong
      val provice: String = arr(6)
      (start_time,end_time,provice)
    }).toArray
    val b = sc.broadcast(arr)

    val file: RDD[String] = sc.textFile("D:\\bigdata\\project\\scala2\\src\\main\\scala\\ipAndAccress\\access.log")
    val value: RDD[Array[String]] = file.map(l =>l.split("\\|"))

    val num = file.map(t=>{
      val classed = t.split("\\|")
      val num = (MyUtils.ip2Long(classed(1)))
      num
    })
    val vl = b.value
    val tuples = num.map(t=>{
      //二分查找
      var provice = "未知"
      val index = MyUtils.binarySearch(vl,t)
      if (index != -1){
        provice = vl(index)._3
      }
      (provice,1)
    })

    //// 将数据进行聚合
    val reduce: RDD[(String, Int)] = tuples.reduceByKey(_+_)
    //降序排列
   val sort: RDD[(String, Int)] = reduce.sortBy(_._2,false)
    //写道数据库
    sort.foreachPartition(it=>MyUtils.data2MySQL(it))
    sort.foreach(println)

    sc.stop()
  }
}

package ipAndAccress

import java.sql.{Connection, DriverManager, PreparedStatement}

import scala.io.{BufferedSource, Source}

object MyUtils {

  // 算法解析Ip转换十进制
  def ip2Long(ip: String): Long = {
    val fragments = ip.split("[.]")
    var ipNum = 0L
    for (i <- 0 until fragments.length){
      ipNum =  fragments(i).toLong | ipNum << 8L
    }
    ipNum
  }
  // 获取需要的起始Ip和结束Ip和地域分布
  def readRules(path: String): Array[(Long, Long, String)] = {
    //读取ip规则
    val bf: BufferedSource = Source.fromFile(path)
    val lines: Iterator[String] = bf.getLines()
    //对ip规则进行整理
    val rules: Array[(Long, Long, String)] = lines.map(line => {
      val fileds = line.split("[|]")// 需要转义
      val startNum = fileds(2).toLong
      val endNum = fileds(3).toLong
      val province = fileds(6)
      (startNum, endNum, province)
    }).toArray
    rules
  }

  def binarySearch(lines: Array[(Long, Long, String)], ip: Long) : Int = {
    var low = 0
    var high = lines.length - 1
    while (low <= high) {
      val middle = (low + high) / 2
      if ((ip >= lines(middle)._1) && (ip <= lines(middle)._2))
        return middle
      if (ip < lines(middle)._1)
        high = middle - 1
      else {
        low = middle + 1
      }
    }
    -1
  }

  def data2MySQL(it: Iterator[(String, Int)]): Unit = {
    //一个迭代器代表一个分区，分区中有多条数据
    //先获得一个JDBC连接
    val conn: Connection = DriverManager.getConnection(
      "jdbc:mysql://localhost:3306/spark?characterEncoding=UTF-8", "root", "123")
    //将数据通过Connection写入到数据库
    val pstm: PreparedStatement = conn.prepareStatement(
      "INSERT INTO access_log VALUES (?, ?)")
    //将分区中的数据一条一条写入到MySQL中
    it.foreach(tp => {
      pstm.setString(1, tp._1)
      pstm.setInt(2, tp._2)
      pstm.executeUpdate()
    })
    //将分区中的数据全部写完之后，在关闭连接
    if(pstm != null) {
      pstm.close()
    }
    if (conn != null) {
      conn.close()
    }
  }
}

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>

    <groupId>SouGouProject</groupId>
    <artifactId>SouGouProject</artifactId>
    <version>1.0-SNAPSHOT</version>
    <properties>
        <maven.compiler.source>1.8</maven.compiler.source>
        <maven.compiler.target>1.8</maven.compiler.target>
        <encoding>UTF-8</encoding>
        <scala.version>2.10.6</scala.version>
        <spark.version>1.6.3</spark.version>
        <hadoop.version>2.6.4</hadoop.version>
    </properties>
    <dependencies>
        <dependency>
            <groupId>org.scala-lang</groupId>
            <artifactId>scala-library</artifactId>
            <version>${scala.version}</version>
        </dependency>

        <dependency>
            <groupId>com.typesafe.akka</groupId>
            <artifactId>akka-actor_2.10</artifactId>
            <version>2.3.14</version>
        </dependency>

        <dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
            <version>5.1.42</version>
        </dependency>

        <dependency>
            <groupId>com.typesafe.akka</groupId>
            <artifactId>akka-remote_2.10</artifactId>
            <version>2.3.14</version>
        </dependency>

        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-core_2.10</artifactId>
            <version>${spark.version}</version>
        </dependency>
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-sql_2.10</artifactId>
            <version>${spark.version}</version>
        </dependency>
        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-client</artifactId>
            <version>${hadoop.version}</version>
        </dependency>

    </dependencies>

    <build>
        <sourceDirectory>src/main/spark</sourceDirectory>
        <plugins>
            <plugin>
                <groupId>net.alchim31.maven</groupId>
                <artifactId>scala-maven-plugin</artifactId>
                <version>3.2.2</version>
                <executions>
                    <execution>
                        <goals>
                            <goal>compile</goal>
                            <goal>testCompile</goal>
                        </goals>
                        <configuration>
                            <args>
                                <arg>-dependencyfile</arg>
                                <arg>${project.build.directory}/.scala_dependencies</arg>
                            </args>
                        </configuration>
                    </execution>
                </executions>
            </plugin>

            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-shade-plugin</artifactId>
                <version>2.4.3</version>
                <executions>
                    <execution>
                        <phase>package</phase>
                        <goals>
                            <goal>shade</goal>
                        </goals>
                        <configuration>
                            <filters>
                                <filter>
                                    <artifact>*:*</artifact>
                                    <excludes>
                                        <exclude>META-INF/*.SF</exclude>
                                        <exclude>META-INF/*.DSA</exclude>
                                        <exclude>META-INF/*.RSA</exclude>
                                    </excludes>
                                </filter>
                            </filters>
                            <transformers>
                                <transformer implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer">
                                    <mainClass></mainClass>
                                </transformer>
                            </transformers>
                        </configuration>
                    </execution>
                </executions>
            </plugin>
        </plugins>
    </build>

</project>

access.log  数据样例

20090121000132095572000|125.213.100.123|show.51.com|/shoplist.php?phpfile=shoplist2.php&style=1&sex=137|Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; Mozilla/4.0(Compatible Mozilla/4.0(Compatible-EmbeddedWB 14.59 http://bsalsa.com/ EmbeddedWB- 14.59  from: http://bsalsa.com/ )|http://show.51.com/main.php|
20090121000132124542000|117.101.215.133|www.jiayuan.com|/19245971|Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; TencentTraveler 4.0)|http://photo.jiayuan.com/index.php?uidhash=d1c3b69e9b8355a5204474c749fb76ef|__tkist=0; myloc=50%7C5008; myage=2009; PROFILE=14469674%3A%E8%8B%A6%E6%B6%A9%E5%92%96%E5%95%A1%3Am%3Aphotos2.love21cn.com%2F45%2F1b%2F388111afac8195cc5d91ea286cdd%3A1%3A%3Ahttp%3A%2F%2Fimages.love21cn.com%2Fw4%2Fglobal%2Fi%2Fhykj_m.jpg; last_login_time=1232454068; SESSION_HASH=8176b100a84c9a095315f916d7fcbcf10021e3af; RAW_HASH=008a1bc48ff9ebafa3d5b4815edd04e9e7978050; COMMON_HASH=45388111afac8195cc5d91ea286cdd1b; pop_1232093956=1232468896968; pop_time=1232466715734; pop_1232245908=1232469069390; pop_1219903726=1232477601937; LOVESESSID=98b54794575bf547ea4b55e07efa2e9e; main_search:14469674=%7C%7C%7C00; registeruid=14469674; REG_URL_COOKIE=http%3A%2F%2Fphoto.jiayuan.com%2Fshowphoto.php%3Fuid_hash%3D0319bc5e33ba35755c30a9d88aaf46dc%26total%3D6%26p%3D5; click_count=0%2C3363619
20090121000132406516000|117.101.222.68|gg.xiaonei.com|/view.jsp?p=389|Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; CIBA)|http://home.xiaonei.com/Home.do?id=229670724|_r01_=1; __utma=204579609.31669176.1231940225.1232462740.1232467011.145; __utmz=204579609.1231940225.1.1.utmccn=(direct)
20090121000132581311000|115.120.36.118|tj.tt98.com|/tj.htm|Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; TheWorld)|http://www.tt98.com/|
20090121000132864647000|123.197.64.247|cul.sohu.com|/20071227/n254338813_22.shtml|Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; TheWorld)|http://cul.sohu.com/20071227/n254338813_22.shtml|ArticleTab=visit:1; IPLOC=unknown; SUV=0901080709152121; vjuids=832dd37a1.11ebbc5d590.0.b20f858f14e918; club_chat_ircnick=JaabvxC4aaacQ; spanel=%7B%22u%22%3A%22%22%7D; vjlast=1232467312,1232467312,30
20090121000133296729000|222.55.57.176|down.chinaz.com|/|Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; iCafeMedia; TencentTraveler 4.0)||cnzz_a33219=0; vw33219=%3A18167791%3A; sin33219=http%3A//www.itxls.com/wz/wyfx/it.html; rtime=0; ltime=1232464387281; cnzz_eid=6264952-1232464379-http%3A//www.itxls.com/wz/wyfx/it.html
20090121000133331104000|123.197.66.93|www.pkwutai.cn|/down/downLoad-id-45383.html|Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; QQDownload 1.7)|http://www.baidu.com/s?tn=b1ank_pg&ie=gb2312&bs=%C3%C0%C6%BC%B7%FE%D7%B0%B9%DC%C0%ED%C8%ED%BC%FE&sr=&z=&cl=3&f=8&wd=%C6%C6%BD%E2%C3%C0%C6%BC%B7%FE%D7%B0%B9%DC%C0%ED%C8%ED%BC%FE&ct=0|
20090121000133446262000|115.120.12.157|v.ifeng.com|/live/|Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1) ; .NET CLR 2.0.50727; CIBA)|http://www.ifeng.com/|userid=1232466610953_4339; location=186; sclocationid=10002; vjuids=22644b162.11ef4bc1624.0.63ad06717b426; vjlast=1232466614,1232467297,13

ip.txt

1.0.1.0|1.0.3.255|16777472|16778239|亚洲|中国|福建|福州||电信|350100|China|CN|119.306239|26.075302
1.0.8.0|1.0.15.255|16779264|16781311|亚洲|中国|广东|广州||电信|440100|China|CN|113.280637|23.125178
1.0.32.0|1.0.63.255|16785408|16793599|亚洲|中国|广东|广州||电信|440100|China|CN|113.280637|23.125178
1.1.0.0|1.1.0.255|16842752|16843007|亚洲|中国|福建|福州||电信|350100|China|CN|119.306239|26.075302
1.1.2.0|1.1.7.255|16843264|16844799|亚洲|中国|福建|福州||电信|350100|China|CN|119.306239|26.075302