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Old 05-01-2008
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searching and storing unknown number of lines based on the string with a condition

Dear friends, Please help me to resolve the problem below,

I have a file with following content:


date of file creation : 12 feb 2007
====================
= name : suresh
= city :mumbai
#this is a blank line
= date : 1st Nov 2005
====================
few lines of some text
this text could be of any number of lines
====================
= code : 10
= time : 10AM
= job : dev
====================


====================
= name : mahesh
= city :Bangalore
#this is a blank line
= date : 1st april 2005
====================
few lines of some text
this text could be of any number of lines
====================
= code : 0
= time : 11AM
= job : test
====================


====================
= name : Girish
= city :Pune
#this is a blank line
= date : 4april 2005
====================
few lines of some text
this text could be of any number of lines
====================
= code : 15
= time : 12AM
= job : support
====================


#end of file



in the above data, it contains 3 records(marked using blue, green and magenta colours).
now the problem is, I need to store all the line of a record which is having the "=code : 10" in a file file_10
and
"=code : 15" in a file file_15.
and
if the "=code : 0" then I need to ignore that record and continure with next record till the end of file.

Please help me.

thanks in advance,
swamymns
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Old 05-01-2008
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hello please try this.

hope this helps you out :-)

please runthis from a script.

awk ' /^= name*/,/^= job*/ { indx += 1; arr[indx]=$0; } \
/^= code : 10/ { match_found_10="YES"; } \
/^= code : 15/ { match_found_15="YES"; }\
/^= job*/ {if(match_found_10=="YES") { \
print "======================" >"code_10_match_file"; \
for(i=1; i<=indx; i++) \
print arr[i] >"code_10_match_file"; \
print "======================" >"code_10_match_file";\
}\
if(match_found_15=="YES") { \
print "======================" >"code_15_match_file"; \
for(i=1; i<=indx; i++) \
print arr[i] >"code_15_match_file"; \
print "======================" >"code_15_match_file";\
}\
match_found_10="NO"; indx = 0; match_found_15="NO"; }\
' input_file_name
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Old 05-01-2008
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Code:
awk 'BEGIN{RS=""}
$0 ~ /code : 10/{   
   print $0 > "file_10"
}' file
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Old 05-03-2008
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Hi Pradee and friends,
I need some modification in the above script.

Last edited by swamymns; 05-05-2008 at 10:04 PM.
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Old 05-05-2008
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Hi Guys, thanks for your reply,

awk ' /^= name*/,/^= job*/ { indx += 1; arr[indx]=$0; } \
/^= code : 10/ { match_found_10="YES"; } \
/^= code : 15/ { match_found_15="YES"; }\
/^= job*/ {if(match_found_10=="YES") { \
print "======================" >"code_10_match_file"; \
for(i=1; i<=indx; i++) \
print arr[i] >"code_10_match_file"; \
print "======================" >"code_10_match_file";\
}\
if(match_found_15=="YES") { \
print "======================" >"code_15_match_file"; \
for(i=1; i<=indx; i++) \
print arr[i] >"code_15_match_file"; \
print "======================" >"code_15_match_file";\
}\
match_found_10="NO"; indx = 0; match_found_15="NO"; }\
' input_file_name

above script is ok, but I need this for generic case, i.e., I need to cluster the records having similar "code" into individual files,

for example,
all the records having code=10 need to be stored in a file called code_10 file and
all the records having code=15 need to be stored in a file called code_15 file ...etc.

the code number varied from 0 to 255.
and if the code is 0 then we can ignore those recors.

and if input file contains codes 0,10,15,20, then the script should generate only 3 files(for 10, 15,20) ignoring 0.

Please help me

Thanks in advance
swamymns
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Old 05-09-2008
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Dear friends,

Please help me the above stated problem.

Urgent responses are very much appreciated .

Thanks in advance,
swamymns
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Old 05-09-2008
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Adapted from ghostdog74's solution

Code:
awk 'BEGIN{RS=""}
!/code : 0/ {
        match ($0, /code : [0-9]+/, a)
        print $0 > "/tmp/file_" gensub(/code : /, "", 1, a[0])
   }'
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Old 05-12-2008
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Friends,
the soution does not work. please let me know how to put loop in awk command to resolve the issue.
regards.
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