LAB1 partII

PartII

 

实现单词统计

实现 main/wc.go 两个函数 mapF() 、 reduceF()

单词是任意字母连续序列， 由unicode.IsLetter 决定字母

测试数据 pg-*.txt 放在 ~/6.824/src/main

$ cd 6.824 $ export "GOPATH=$PWD" $ cd "$GOPATH/src/main" $ go run wc.go master sequential pg-*.txt # command-line-arguments ./wc.go:14: missing return at end of function ./wc.go:21: missing return at end of function

mapF()函数 输入文件名和文件内容，输出 mapreduce.KeyValue 类型切片

reduceF() 函数将调用每个 key 和 切片mapreduce.KeyValu ，返回 单个 key 和 总计数

测试命令

$ cd "$GOPATH/src/main"

$ time go run wc.go master sequential pg-*.txt

master: Starting Map/Reduce task wcseq

Merge: read mrtmp.wcseq-res-0

Merge: read mrtmp.wcseq-res-1

Merge: read mrtmp.wcseq-res-2

master: Map/Reduce task completed

2.59user 1.08system 0:02.81elapsed

查看结果文件

$ sort -n -k2 mrtmp.wcseq | tail -10

that: 7871

it: 7987

in: 8415

was: 8578

a: 13382

of: 13536

I: 14296

to: 16079

and: 23612

the: 29748

 

删除多余的中间文件

rm mrtmp.*

提供测试脚本

bash ./test-wc.sh

master@master:~/study/6.824/src/main$ ./test-wc.sh

-bash: ./test-wc.sh: Permission denied

增加执行权限

chmod 764 *sh

wc.go

package main

import (
    "fmt"
    "mapreduce"
    "os"
    "strings"
    "unicode"
    "strconv"
)

//
// The map function is called once for each file of input. The first
// argument is the name of the input file, and the second is the
// file's complete contents. You should ignore the input file name,
// and look only at the contents argument. The return value is a slice
// of key/value pairs.
//
func mapF(filename string, contents string) []mapreduce.KeyValue {
    // Your code here (Part II).

    f := func(c rune) bool {
    return !unicode.IsLetter(c)
  }
  rst := make([]mapreduce.KeyValue, )

      keys := strings.FieldsFunc(contents, f)
      for _, key := range keys {
          kv := mapreduce.KeyValue{ Key: key, Value:""}
          rst = append(rst, kv)
      }
    return rst
}

//
// The reduce function is called once for each key generated by the
// map tasks, with a list of all the values created for that key by
// any map task.
//
func reduceF(key string, values []string) string {
    // Your code here (Part II).
    cnt :=  

    for _ , val := range values {

       i , err := strconv.Atoi(val);
         if  err != nil {
             panic(err)
         }
         cnt += i
    }

    rst := strconv.Itoa(cnt)
    return rst
}

// Can be run in 3 ways:
// 1) Sequential (e.g., go run wc.go master sequential x1.txt .. xN.txt)
// 2) Master (e.g., go run wc.go master localhost:7777 x1.txt .. xN.txt)
// 3) Worker (e.g., go run wc.go worker localhost:7777 localhost:7778 &)
func main() {
    if len(os.Args) <  {
        fmt.Printf("%s: see usage comments in file\n", os.Args[])
    } else if os.Args[] == "master" {
        var mr *mapreduce.Master
        if os.Args[] == "sequential" {
            mr = mapreduce.Sequential("wcseq", os.Args[:], , mapF, reduceF)
        } else {
            mr = mapreduce.Distributed("wcseq", os.Args[:], , os.Args[])
        }
        mr.Wait()
    } else {
        mapreduce.RunWorker(os.Args[], os.Args[], mapF, reduceF, , nil)
    }
}