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
