我需要增强下面的脚本,该脚本需要一个包含几乎一百万行唯一代码的输入文件。在每一行中,它在3个查找文件中具有不同的值,我打算将它们作为逗号分隔的值添加到我的输出中。
以下脚本可以正常工作,但是需要花费数小时才能完成工作。我正在寻找一个真正的快速解决方案,该解决方案对系统也不会造成太大的负担。
#!/bin/bash
while read -r ONT
do
{
ONSTATUS=$(grep "$ONT," lookupfile1.csv | cut -d" " -f2)
CID=$(grep "$ONT." lookupfile3.csv | head -1 | cut -d, -f2)
line1=$(grep "$ONT.C2.P1," lookupfile2.csv | head -1 | cut -d"," -f2,7 | sed 's/ //')
line2=$(grep "$ONT.C2.P2," lookupfile2.csv | head -1 | cut -d"," -f2,7 | sed 's/ //')
echo "$ONT,$ONSTATUS,$CID,$line1,$line2" >> BUwithPO.csv
} &
done < inputfile.csv
inputfile.csv包含以下行:
343OL5:LT1.PN1.ONT1
343OL5:LT1.PN1.ONT10
225OL0:LT1.PN1.ONT34
225OL0:LT1.PN1.ONT39
343OL5:LT1.PN1.ONT100
225OL0:LT1.PN1.ONT57
lookupfile1.csv包含:
343OL5:LT1.PN1.ONT100, Down,Locked,No
225OL0:LT1.PN1.ONT57, Up,Unlocked,Yes
343OL5:LT1.PN1.ONT1, Down,Unlocked,No
225OL0:LT1.PN1.ONT34, Up,Unlocked,Yes
225OL0:LT1.PN1.ONT39, Up,Unlocked,Yes
lookupfile2.csv包含:
225OL0:LT1.PN1.ONT34.C2.P1, +123125302766,REG,DigitMap,Unlocked,_media_BNT,FD_BSFU.xml,
225OL0:LT1.PN1.ONT57.C2.P1, +123125334019,REG,DigitMap,Unlocked,_media_BNT,FD_BSFU.xml,
225OL0:LT1.PN1.ONT57.C2.P2, +123125334819,REG,DigitMap,Unlocked,_media_BNT,FD_BSFU.xml,
343OL5:LT1.PN1.ONT100.C2.P11, +123128994019,REG,DigitMap,Unlocked,_media_ANT,FD_BSFU.xml,
lookupfile3.csv包含:
343OL5:LT1.PON1.ONT100.SERV1,12-654-0330
343OL5:LT1.PON1.ONT100.C1.P1,12-654-0330
343OL5:LT7.PON8.ONT75.SERV1,12-664-1186
225OL0:LT1.PN1.ONT34.C1.P1.FLOW1,12-530-2766
225OL0:LT1.PN1.ONT57.C1.P1.FLOW1,12-533-4019
输出为:
225OL0:LT1.PN1.ONT57, Up,Unlocked,Yes,12-533-4019,+123125334019,FD_BSFU.xml,+123125334819,FD_BSFU.xml
225OL0:LT1.PN1.ONT34, Up,Unlocked,Yes,12-530-2766,+123125302766,FD_BSFU.xml,
343OL5:LT1.PN1.ONT1, Down,Unlocked,No,,,
343OL5:LT1.PN1.ONT100, Down,Locked,No,,,
343OL5:LT1.PN1.ONT10,,,,
225OL0:LT1.PN1.ONT39, Up,Unlocked,Yes,,,
答案 0 :(得分:4)
如您所见,瓶颈将在循环中多次执行grep
。您可以通过创建具有关联数组的查找表来提高效率。
如果awk
可用,请尝试以下操作:
[更新]
#!/bin/bash
awk '
FILENAME=="lookupfile1.csv" {
sub(",$", "", $1);
onstatus[$1] = $2
}
FILENAME=="lookupfile2.csv" {
split($2, a, ",")
if (sub("\\.C2\\.P1,$", "", $1)) line1[$1] = a[1]","a[6]
else if (sub("\\.C2\\.P2,$", "", $1)) line2[$1] = a[1]","a[6]
}
FILENAME=="lookupfile3.csv" {
split($0, a, ",")
if (match(a[1], ".+\\.ONT[0-9]+")) {
ont = substr(a[1], RSTART, RLENGTH)
cid[ont] = a[2]
}
}
FILENAME=="inputfile.csv" {
print $0","onstatus[$0]","cid[$0]","line1[$0]","line2[$0]
}
' lookupfile1.csv lookupfile2.csv lookupfile3.csv inputfile.csv > BUwithPO.csv
{EDIT]
如果您需要指定文件的绝对路径,请尝试:
#!/bin/bash
awk '
FILENAME ~ /lookupfile1.csv$/ {
sub(",$", "", $1);
onstatus[$1] = $2
}
FILENAME ~ /lookupfile2.csv$/ {
split($2, a, ",")
if (sub("\\.C2\\.P1,$", "", $1)) line1[$1] = a[1]","a[6]
else if (sub("\\.C2\\.P2,$", "", $1)) line2[$1] = a[1]","a[6]
}
FILENAME ~ /lookupfile3.csv$/ {
split($0, a, ",")
if (match(a[1], ".+\\.ONT[0-9]+")) {
ont = substr(a[1], RSTART, RLENGTH)
cid[ont] = a[2]
}
}
FILENAME ~ /inputfile.csv$/ {
print $0","onstatus[$0]","cid[$0]","line1[$0]","line2[$0]
}
' /path/to/lookupfile1.csv /path/to/lookupfile2.csv /path/to/lookupfile3.csv /path/to/inputfile.csv > /path/to/BUwithPO.csv
希望这会有所帮助。
答案 1 :(得分:4)
如果如注释中所述,由于缺少GNU gensub
提供的awk
而无法使用@tshiono提供的解决方案,则可以将gensub
替换为两个调用带有临时变量的sub
,以完成对所需后缀的修剪。
示例:
awk '
FILENAME=="lookupfile1.csv" {
sub(",$", "", $1);
onstatus[$1] = $2
}
FILENAME=="lookupfile2.csv" {
split($2, a, ",")
if (sub("\\.C2\\.P1,$", "", $1)) line1[$1] = a[1]","a[6]
else if (sub("\\.C2\\.P2,$", "", $1)) line2[$1] = a[1]","a[6]
}
FILENAME=="lookupfile3.csv" {
split($0, a, ",")
# ont = gensub("(\\.ONT[0-9]+).*", "\\1", 1, a[1])
sfx = a[1]
sub(/^.*[.]ONT[^.]*/, "", sfx)
sub(sfx, "", a[1])
# cid[ont] = a[2]
cid[a[1]] = a[2]
}
FILENAME=="inputfile.csv" {
print $0","onstatus[$0]","cid[$0]","line1[$0]","line2[$0]
}
' lookupfile1.csv lookupfile2.csv lookupfile3.csv inputfile.csv > BUwithPO.csv
我已在与gensub
相关的部分中注释了FILENAME=="lookupfile3.csv"
的使用,并用gensub
两次调用sub
来代替sfx
表达式(后缀)作为临时变量。
尝试一下,让我知道您是否可以使用它。
答案 2 :(得分:3)
下面的脚本是类似于awk
解决方案,但用Perl写成的。
保存为filter.pl
,并使其可执行。
#!/usr/bin/env perl
use strict;
use warnings;
my %lookup1;
my %lookup2_1;
my %lookup2_2;
my %lookup3;
while( <> ) {
if ( $ARGV eq 'lookupfile1.csv' ) {
# 225OL0:LT1.PN1.ONT34, Up,Unlocked,Yes
# ^^^^^^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^^
if (/^([^,]+),\s*(.*)$/) {
$lookup1{$1} = $2;
}
} elsif ( $ARGV eq 'lookupfile2.csv' ) {
# 225OL0:LT1.PN1.ONT34.C2.P1, +123125302766,REG,DigitMap,Unlocked,_media_BNT,FD_BSFU.xml,
# ^^^^^^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^ ^^^^^^^^^^^
if (/^(.+ONT\d+)\.C2\.P1,\s*([^,]+),(?:[^,]+,){4}([^,]+)/) {
$lookup2_1{$1} = "$2,$3";
} elsif (/^(.+ONT\d+)\.C2\.P2,\s*([^,]+),(?:[^,]+,){4}([^,]+)/) {
$lookup2_2{$1} = "$2,$3";
}
} elsif ( $ARGV eq 'lookupfile3.csv' ) {
# 225OL0:LT1.PN1.ONT34.C1.P1.FLOW1,12-530-2766
# ^^^^^^^^^^^^^^^^^^^^ ^^^^^^^^^^^
if (/^(.+ONT\d+)[^,]+,\s*(.*)$/) {
$lookup3{$1} = $2;
}
} else { # assume 'inputfile.csv'
no warnings 'uninitialized'; # because not all keys ($_) have values in the lookup tables
# 225OL0:LT1.PN1.ONT34
chomp;
print "$_,$lookup1{$_},$lookup3{$_},$lookup2_1{$_},$lookup2_2{$_}\n";
}
}
执行它像这样:
./filter.pl lookupfile{1,2,3}.csv inputfile.csv > BUwithPO.csv
重要的是,查找文件必须排在第一位(就像awk
解决方案一样,因为)
他们构建了四个字典(在Perl中为哈希)%lookup1
,%lookup2_1
等。
然后从值inputfile.csv
是针对这些字典匹配。