spark 分析日志文件(key,value)

获取log日志，每个service以“#*#”开头。统计每个service所需的平均时间。

import java.io.{File, PrintWriter}
import org.apache.spark.{SparkContext, SparkConf}

object SimpleApp {

  def main(args: Array[String]) {
    System.setProperty("hadoop.home.dir","D://spark-1.3.1-bin-hadoop-2.3.0-cdh5.0.2");

    val logFile = "d://Debug.2015-06-12_1556.log" // Should be some file on your system
    val conf = new SparkConf().setAppName("Simple Application").setMaster("local")
    val sc = new SparkContext(conf)
    val logData = sc.textFile(logFile, 2).cache()
    val result = logData.filter(line => line.contains("#*#"))

    println("********统计开始**********")

    //转化为key-value形式的RDD。
    val jobNameAndTime = result.map(line => (line.split("#*#").last.split(" ").head, line.split("#*#").last.split(" ").last.toInt/1000))

    val jobNameTimes = jobNameAndTime.map(line => (line._1, 1)).reduceByKey((x, y) => x + y)

    val jobAvgTime = jobNameAndTime.reduceByKey((x, y) => (x + y)/2)

    //join方法
    val jobTimesAndAvgTime = jobNameTimes.join(jobAvgTime).sortBy(x => x._2._2)

    println("********************************************************************")

    jobTimesAndAvgTime.map(x => println(s"jobName: ${x._1} | times: ${x._2._1} | avgTime: ${x._2._2}s")).collect

    val writer = new PrintWriter(new File("d://test.txt" ))
    writer.write(jobTimesAndAvgTime.map(x => s"jobName: ${x._1} | times: ${x._2._1} | avgTime: ${x._2._2}s
").collect.toList.mkString(",").replace(",", ""))
    writer.close


    println(s"一共 ${result.count} 统计条数据")

    println("********************************************************************")


    println("********统计结束**********")


  }

}

------------------------------

每个service以“#*#”开头，后面接上所用的时间。

log日志片段：

2015-06-11 00:05:32.23423742063 [Worker-88] DEBUG c.z.b.v.a.u.c.d.ConnectionFactoryPrefs$$anon$1 - Spark useDatabase =use ran
2015-06-11 00:05:32.82023742649 [worker-1] DEBUG o.a.thrift.transport.TSaslTransport - CLIENT: reading data length: 109
2015-06-11 00:05:35.18423745013 [Worker-88] DEBUG o.a.thrift.transport.TSaslTransport - writing data length: 110
2015-06-11 00:05:35.18423745013 [worker-1] DEBUG o.a.thrift.transport.TSaslTransport - writing data length: 102
2015-06-11 00:05:35.18523745014 [worker-1] DEBUG o.a.thrift.transport.TSaslTransport - CLIENT: reading data length: 778
2015-06-11 00:05:35.18523745014 [18-worker-1] DEBUG o.a.thrift.transport.TSaslTransport - writing data length: 96
2015-06-11 00:05:35.18523745014 [18-worker-1] DEBUG o.a.thrift.transport.TSaslTransport - CLIENT: reading data length: 42
2015-06-11 00:05:35.18523745014 [18-worker-1] DEBUG o.a.thrift.transport.TSaslTransport - writing data length: 83
2015-06-11 00:05:35.18623745015 [18-worker-1] DEBUG o.a.thrift.transport.TSaslTransport - CLIENT: reading data length: 40
2015-06-11 00:05:35.18623745015 [18-worker-1] DEBUG c.z.b.v.a.u.c.j.Quarter1thCleanJob - #*#HelloWorldService 26993
2015-06-11 00:05:35.18623745015 [18-worker-1] DEBUG c.z.b.v.a.u.c.d.ConnectionFactoryPrefs$$anon$1 - database config: DatabaseInfo(jdbc:hive2://192.168.2.110:11000,mr,mr,org.apache.hive.jdbc.HiveDriver,ran)
2015-06-11 00:05:35.18723745016 [18-worker-1] DEBUG o.a.thrift.transport.TSaslTransport - opening transport org.apache.thrift.transport.TSaslClientTransport@c0770c
2015-06-11 00:05:35.18723745015 [18-worker-1] DEBUG c.z.b.v.a.u.c.j.Quarter1thCleanJob - #*#HelloWorldService 36993 
2015-06-11 00:05:35.18723745016 [18-worker-1] DEBUG o.a.t.t.TSaslClientTransport - Sending mechanism name PLAIN and initial response of length 6
2015-06-11 00:05:35.18723745016 [18-worker-1] DEBUG o.a.thrift.transport.TSaslTransport - CLIENT: Writing message with status START and payload length 5
2015-06-11 00:05:35.18723745016 [18-worker-1] DEBUG o.a.thrift.transport.TSaslTransport - CLIENT: Writing message with status COMPLETE and payload length 6
2015-06-11 00:05:35.18723745016 [18-worker-1] DEBUG o.a.thrift.transport.TSaslTransport - CLIENT: Start message handled
2015-06-11 00:05:35.18723745016 [18-worker-1] DEBUG o.a.thrift.transport.TSaslTransport - CLIENT: Main negotiation loop complete
2015-06-11 00:05:35.18723745015 [18-worker-1] DEBUG c.z.b.v.a.u.c.j.Quarter1thCleanJob - #*#HelloSUMService 336993 
2015-06-11 00:05:35.18723745015 [18-worker-1] DEBUG c.z.b.v.a.u.c.j.Quarter1thCleanJob - #*#HelloSUMService 236993

参考链http://m.fx114.net/qa-177-352127.aspx

spark 分析日志文件(key,value)

Spark读取日志，统计每个service所用的平均时间