spark 統計線上日誌ip分組統計

線上日誌格式如下

每次訪問都會記錄ip,標記紅色部分

獲取某一行看看怎麼解析

2017-12-01 09:57:11.970 [http-nio-8082-exec-2] INFO  - com.fullshare.common.aop.ControllerAop                       [ 144] - 請求head:{content-type=application/json, platform=ios, requestsign=f8ea2ff2af562ac5665ada231317a66b, accept-language=zh-Hans-CN;q=1, en-GB;q=0.9, host=tapi.fshtop.com, x-forwarded-for=192.168.132.167, accept=application/json, appid=123456, appversion=2.5, user-agent=FullShareTop/2.5 (iPhone; iOS 10.3.2; Scale/2.00), authorization=072a2431f2bd6cf8108eb3231488cb6dfcc6e11eead3d04283f67762313b2259b937d07358140ef1acf6c6963f8ad42bb088f3223638244e, osversion=10.3.2, mode=iPhone7,2, deviceid=88793C63-994E-44FF-A8BA-506B3897C963, clienttime=1512093518629, content-length=67, brand=iphone, channel=appstore, idfa=CC2E3934-6C3E-4E64-9894-02603E7CED3A}

可以寫代碼了

那些安裝hadoop ,spark我不說了網上有，jar包引入在我另一篇文章

代碼如下

package test.spark;

import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;

import scala.Tuple2;

/**
 * 
 * @author huangjiangnan
 *
 */
public class FilterLine {
	
	@SuppressWarnings("resource")
	public static void main(String[] args) {
		SparkConf conf = new SparkConf().setMaster("spark://192.168.7.202:7077").setAppName(FilterLine.class.getName());
		JavaSparkContext sc = new JavaSparkContext(conf);
		JavaRDD<String> inputRDD=sc.textFile("hdfs://192.168.7.202:900/test/nohup.out");
		//java  lambda表達式 jdk8以上，省很多代碼
		//轉化RDD，過濾，只需要想要的行
		JavaRDD<String> reqRDD=inputRDD.filter((String x)->{
			if(x.contains("請求head")){
				return true;
			}
			return false;
		});
		//JavaPairRDD 建值對
	    JavaPairRDD<String, Integer> pairRDD=reqRDD.mapToPair((String x)->{
	    	String[] ss=x.split(",");
	    	String ip="未知ip";
	    	for (String st : ss) {
				if(st.contains("x-forwarded-for")){
					String[] ipStr=st.split("=");
					if(ipStr.length>1){
						ip=ipStr[1];
						break;
					}
				}
			}
	    	return new Tuple2<String,Integer>(ip,1);
	    }).reduceByKey((Integer num1,Integer num2)->{
	    	return num1+num2;
	    });
	    pairRDD.saveAsTextFile("hdfs://192.168.7.202:900/test/FilterLine-spark");
	}

}

打包然後提交執行

最後結果如下