linux - 两个文件的嵌套循环

Question

我有两个测试文件，第一个包含第三方名称，第二个文件包含消息状态，如已发送、失败、技术错误等。

我想在日志文件中搜索每个第 3 方名称(来自第一个文件)并获取每个消息状态的计数(在文件 2 中列出)

1st file.txt 示例(第 3 方名称)

BNF_IPL
one97
pajwok
RadioAzadi
SPICDIGITAL
U2OPIA
UNIFUN
UNIFUNRS
vectracom
VNTAF
YRMP
INFOTT

第二个文件.txt(消息状态):

success
partial
failed
Error absentSubscriber
UnknownSubscriber
smDeliveryFailure
userSpecificReason
CallBarred
systemFailure

我的目标是生成一份包含每个第 3 方的总状态的报告。像

          sent     | failed   | TechErrpr |    Absent | subscriber 
 IBM        someValue  someValue   someValue   someValue   someValue  
Microsoft   someValue  someValue   someValue   someValue   someValue
Oracle      someValue  someValue   someValue   someValue   someValue
google      someValue  someValue   someValue   someValue   someValue

为了获取值，我将在日志文件中对这些名称和状态进行 grep，并获取总计。为此，我正在尝试使用嵌套循环但没有运气。类似的东西:

for ((i = 0; i <  wc -l  3rdPList.txt ; i++)); do

for ((j = i; j < wc -l status.txt ; j++)); do
     grep 3rdPList.txt logFile | grep status.txt | wc -l > outputFile.txt
    echo $st[j]
  done
done

日志文件示例:

2018-10-30 00:07:19,640 DEBUG [org.mobicents.smsc.library.CdrGenerator] 2018-10-29 14:42:45,789 +0430,588,5,0,93706315646,1,1,temp_failed,BNF_IPL,26674477,0702700006,412012004908984,null,ایید.,Error absentSubscriber after MtForwardSM Request: MAPErrorMessageAbsentSubscriber []
2018-10-30 00:07:41,034 DEBUG [org.mobicents.smsc.library.CdrGenerator] 2018-10-29 16:21:27,260 +0430,588,5,0,0700375593,1,1,temp_failed,BNF_IPL,27008401,null,null,null,عدد1 را به588 ارسال ,AbsentSubscriber response from HLR: MAPErrorMessageAbsentSubscriber []

Answer 1

这几乎可以满足您的要求，但我没有在漂亮的格式方面做太多工作!

{ sed 's/^/1,/' 1.txt; sed 's/^/2,/' 2.txt; cat log.txt; } | awk -F, '$1==1{c=substr($0,3);cc[c]++;next} $1==2{s=substr($0,3); ss[s]++;next} {s=$10;c=$11;res[c SEP s]++} END{for(s in ss){printf("%s ",s)};printf("\n");for(c in cc){printf("%s ",c);for(s in ss){printf("%d ",res[c SEP s]+0)}printf("\n")}}' 

示例输出

systemFailure temp_failed CallBarred userSpecificReason smDeliveryFailure UnknownSubscriber Error absentSubscriber partial success 
pajwok 0 0 0 0 0 0 0 0 0 
SPICDIGITAL 0 0 0 0 0 0 0 0 0 
YRMP 0 0 0 0 0 0 0 0 0 
UNIFUN 0 0 3 0 0 0 0 0 0 
U2OPIA 0 0 0 0 0 0 0 0 0 
UNIFUNRS 0 0 0 0 0 0 0 0 0 
RadioAzadi 0 0 0 0 0 0 0 0 0 
one97 0 0 0 0 0 0 0 0 0 
BNF_IPL 0 2 0 0 0 0 0 0 0 
VNTAF 0 0 0 0 0 0 0 0 0 
INFOTT 0 0 0 0 0 0 0 0 0 
vectracom 0 0 0 0 0 0 0 0 0 

如果你想了解它，尝试将部分分开运行。因此，对于第一部分，我在所有公司名称前加上一个 1 以便 awk 可以将它们与状态代码和日志行区分开来:

sed 's/^/1,/' 1.txt

输出

1,BNF_IPL
1,one97
1,pajwok
1,RadioAzadi
1,SPICDIGITAL
1,U2OPIA
1,UNIFUN
1,UNIFUNRS
1,vectracom
1,VNTAF
1,YRMP
1,INFOTT

然后，我在所有状态消息前加上 2 前缀，这样 awk 就可以将它们与公司名称和日志行区分开来:

sed 's/^/2,/' 2.txt

输出

2,success
2,partial
2,temp_failed
2,Error absentSubscriber
2,UnknownSubscriber
2,smDeliveryFailure
2,userSpecificReason
2,CallBarred
2,systemFailure

然后我将日志文件cat 放入awk:

cat log.txt

awk 可以跨多行编写并注释:

{ sed ...; sed ...; cat ...; } | awk -F, '
    $1==1 {c=substr($0,3); cc[c]++; next}  # Process company name in "1.txt", "c" holds name, "cc[]" is an array of names
    $1==2 {s=substr($0,3); ss[s]++; next}  # Process status code in "2.txt, "s" holds status, "ss[]" is an array of statuses
          {s=$10; c=$11; res[c SEP s]++}   # Process line from log, status is field 10, company is field 11. Increment results array "res[]"
    END   {       
            # Print line of status codes
            for(s in ss){printf("%s ",s)};
            printf("\n");
            for(c in cc){printf("%s ",c);
               for(s in ss){printf("%d ",res[c SEP s]+0)}printf("\n")}
    }' 

SEP 只是伪造二维数组的分隔符。