Solved: Re: Import the varaible with a line break

SASdevAnneMarie · Posted 07-10-2020 10:24 AM

Hello,

I need to import the csv file, my second variable (start and end in yellow) has a line break :

I use the option: dlm='","'||',"';
infile "XXX\tweet_archives_fr.csv" delimiter=dlm
missover lrecl=250 firstobs=2 ;

With this options my second variable is truncated.

Do you know please the option to read correctly this variable ?

Thank you!

Best regards,

Marie

Tom · Posted 07-11-2020 10:30 AM

So it looks like something in your process took your original CSV (with the line breaks in it) and added quotes around every line. Those can be removed by either using DEQUOTE() function or reading the lines using DSD option.

But some of the embedded line breaks make lines without any commas and that is making figuring out which line breaks are the real end of line difficult.

Fortunately the first value on each row is a long number, so you can use that fact to do a better job of finding where the real lines start.

So here is a data step to convert your original file into a readable file.

filename fixed temp;
data _null_;
   infile original dsd truncover lrecl=32767;
   file fixed lrecl=1000000;
   input line :$char32767. ;
   if notdigit(scan(line,1,','))
      and length(scan(line,1,','))>12 then put '|' @;
   else put;
   len=lengthn(line);
   put line $varying32767. len @;
run;

Now you can read the file. You could even use PROC IMPORT to read the file, although the column headers do not make good variable names and PROC IMPORT will make its normal mistakes like treating the first column as a number instead of string.

proc import datafile=fixed dbms=csv out=want replace ;
run;

View solution in original post

Tom · Posted 07-10-2020 10:58 AM

Hard to tell from a photograph of your text, but in general embedded end of line characters in a field is a problem for SAS. There are some work arounds.

The easiest is if the characters in your field are not exactly the same as those used to mark the real end of lines. So if the characters are either CR or LF and the end of line if CR and LF then you can just add TERMSTR=CRLF to your INFILE statement.

Otherwise you will either need to make a more complex solution.

For example if the fields that have end of line characters in them are quoted you can use that fact to find them and change them into some other character. For safety I would do this by making a copy of the file.

filename fixed temp;
data _null_;
   infile "XXX\tweet_archives_fr.csv";
   file fixed;
   input;
   q+countc(_infile_,'"');
   q=mod(q,2);
   if _n_>1 and not q then put;
   put _infile_ @;
run;
....
infile fixed dsd dlm=',' truncover firstobs=2;

SASdevAnneMarie · Posted 07-10-2020 11:24 AM

The data is attached.

Thank you

Tom · Posted 07-10-2020 11:46 AM

I don't really see a pattern in that file. It does appear to have way too many quotes.

Here is summary and dump of the first 20 records.

Is it possible to get the data from before someone tried to create a CSV file out of it?

144   data _null_;
145     infile "&path/&fname" obs=20;
146     input;
147     q=countc(_infile_,'"');
148     len=lengthn(_infile_);
149     put (_n_ q len) (=) ;
150   run;

NOTE: The infile "C:\Downloads/tweet_archives - Marie.csv" is:
      Filename=C:\Downloads\tweet_archives - Marie.csv,
      RECFM=V,LRECL=32767,File Size (bytes)=12275,
      Last Modified=10Jul2020:11:26:23,
      Create Time=10Jul2020:11:26:22

_N_=1 q=158 len=1132
_N_=2 q=8 len=195
_N_=3 q=0 len=61
_N_=4 q=152 len=336
_N_=5 q=8 len=247
_N_=6 q=152 len=364
_N_=7 q=158 len=616
_N_=8 q=8 len=168
_N_=9 q=0 len=29
_N_=10 q=0 len=50
_N_=11 q=0 len=39
_N_=12 q=152 len=387
_N_=13 q=166 len=651
_N_=14 q=166 len=565
_N_=15 q=158 len=680
_N_=16 q=8 len=253
_N_=17 q=152 len=335
_N_=18 q=166 len=573
_N_=19 q=8 len=216
_N_=20 q=152 len=333
NOTE: 20 records were read from the infile "C:\Downloads/tweet_archives - Marie.csv".
      The minimum record length was 29.
      The maximum record length was 1132.
NOTE: DATA statement used (Total process time):
      real time           0.00 seconds
      cpu time            0.00 seconds


151   data _null_;
152     infile "&path/&fname" obs=20;
153     input;
154     list;
155   run;

NOTE: The infile "C:\Downloads/tweet_archives - Marie.csv" is:
      Filename=C:\Downloads\tweet_archives - Marie.csv,
      RECFM=V,LRECL=32767,File Size (bytes)=12275,
      Last Modified=10Jul2020:11:26:23,
      Create Time=10Jul2020:11:26:22

RULE:     ----+----1----+----2----+----3----+----4----+----5----+----6----+----7----+----8----+----9----+--
1         "Identifiant du Tweet,""Permalien du Tweet"",""Texte du Tweet"",""heure"",""impressions"",""engag
      98  ements"",""taux dâ€™engagement"",""Retweets"",""rÃ©ponses"",""J'aime"",""clics sur le profil de l
     195  'utilisateur"",""clics sur l'URL"",""clics sur le hashtag"",""ouvertures des dÃ©tails"",""clics s
     292  ur le permalien"",""ouvertures d'application"",""installations de l'application"",""abonnements "
     389  ",""envoyer le Tweet par email"",""composer le numÃ©ro"",""vues du mÃ©dia"",""engagements avec le
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12        "ont pu Ãªtre traitÃ©es.  #Covid_19 #tÃ©lÃ©travail #santÃ© #dÃ©confinement https://t.co/YfhUNYTK9
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      98  ependant regarder si les Ã©pargnants ont plutÃ´t prÃ©fÃ©rÃ© gonfler leur fonds euros, par sÃ©curi
     195  tÃ©, ou plutÃ´t investi sur des unitÃ©s de compte ou des mandats de gestion pour profiter des opp
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RULE:     ----+----1----+----2----+----3----+----4----+----5----+----6----+----7----+----8----+----9----+--
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     680  " 680

16  CHAR  "1263007345791172608,""https://twitter.com/ACPPLMP/status/1263007345791172608"",""ðŸ.†L'Alpha Lea
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NOTE: 20 records were read from the infile "C:\Downloads/tweet_archives - Marie.csv".
      The minimum record length was 29.
      The maximum record length was 1132.
NOTE: DATA statement used (Total process time):
      real time           0.00 seconds
      cpu time            0.01 seconds

SASdevAnneMarie · Posted 07-10-2020 11:55 AM

Thank you Tom! I can't have the data, I must use this file 😞

SASdevAnneMarie · Posted 07-11-2020 03:16 AM

Hello!
Do you know some options to import this csv file with Libname XLSX?

Thank you!

Tom · Posted 07-11-2020 09:10 AM

A CSV file is not an XLSX file. If they can send you an XLSX file it would be easier to deal with.

You could try seeing if Excel could do a better job of loading the file, but it does not look like a valid CSV file at all, so I doubt that Excel will have any better luck with it. But if you could get it loaded into a XLSX file then you could read that file with the XLSX engine.

SASdevAnneMarie · Posted 07-11-2020 10:08 AM

Thank you Tom!
Unfortunately I can’t have the data in xlsx format. 😞

Tom · Posted 07-11-2020 10:30 AM

So it looks like something in your process took your original CSV (with the line breaks in it) and added quotes around every line. Those can be removed by either using DEQUOTE() function or reading the lines using DSD option.

But some of the embedded line breaks make lines without any commas and that is making figuring out which line breaks are the real end of line difficult.

Fortunately the first value on each row is a long number, so you can use that fact to do a better job of finding where the real lines start.

So here is a data step to convert your original file into a readable file.

filename fixed temp;
data _null_;
   infile original dsd truncover lrecl=32767;
   file fixed lrecl=1000000;
   input line :$char32767. ;
   if notdigit(scan(line,1,','))
      and length(scan(line,1,','))>12 then put '|' @;
   else put;
   len=lengthn(line);
   put line $varying32767. len @;
run;

Now you can read the file. You could even use PROC IMPORT to read the file, although the column headers do not make good variable names and PROC IMPORT will make its normal mistakes like treating the first column as a number instead of string.

proc import datafile=fixed dbms=csv out=want replace ;
run;

SASdevAnneMarie · Posted 07-11-2020 11:49 AM

Thank you very much Tom!
Yes, some application add the quote to my CSV file.

SASdevAnneMarie · Posted 07-22-2020 04:29 AM

Hello Tom,
I have a little question: how SAS interpret the symbol 'I' while proc import.
If I understood correctly the data are not truncated because of 'I', but I can't understand the choice of 'I'.

Thank you very much!

Tom · Posted 07-22-2020 08:14 AM

@SASdevAnneMarie wrote:
Hello Tom,
I have a little question: how SAS interpret the symbol 'I' while proc import.
If I understood correctly the data are not truncated because of 'I', but I can't understand the choice of 'I'.

Thank you very much!

It is not there for SAS to understand, just for humans. I choose that character to replace the end of line characters just in case there was some need to know where they used to be. I picked the pipe character as it is unlikely to be in your actual data. You could use a space or not write anything at all to replace the end of line characters that are being removed.

SASdevAnneMarie · Posted 07-22-2020 10:22 AM

Thank you very much!
I understood 🙂

SASdevAnneMarie · Posted 07-22-2020 10:41 AM

Sorry, I still can't understand 🙂 why using filename fixed temp (after put the data to this file), proc import works correctly. :), but it doesn't works with csv.

Thank you!

Tom · Posted 07-22-2020 10:53 AM

The issue is you have corrupted file. It has both extra end of line characters embedded in the middle of some of the lines and extra quotes (for some unexplained reason). The purpose of the data step is to create a version of the file that has both issues corrected. Once that is done then the corrected file can be read. One way to read the file is to use PROC IMPORT. But you could also just write your own data step to read the file. You don't have to make a temporary file. You could instead create a permanent file somewhere. One simple way would be to change the FILENAME statement to point to an actual filename that you could write to instead of using the TEMP engine to generate a temporary file.

The data step itself if pretty simple. It reads one line (removing the extra quotes because it is using the DSD option). Then it decides whether it is the start of a new line of data based on the first value on that line. When it is a new record it writes the end of line for the previous record. Otherwise it writes a pipe character to replace the end of line that is going to be removed. Then it writes the line (removing any trailing blanks).

If you have specific questions about the data step please ask.

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