I have multiple tables in a library call snap1:
cust1, cust2, cust3, etc
I want to generate a loop that gets the records' count of the same column in each of these tables and then insert the results into a different table.
My desired output is:
Table Count
cust1 5,000
cust2 5,555
cust3 6,000
I'm trying this but its not working:
%macro sqlloop(data, byvar);
proc sql noprint;
select &byvar.into:_values SEPARATED by '_'
from %data.;
quit;
data_&values.;
set &data;
select (%byvar);
%do i=1 %to %sysfunc(count(_&_values.,_));
%let var = %sysfunc(scan(_&_values.,&i.));
output &var.;
%end;
end;
run;
%mend;
%sqlloop(data=libsnap, byvar=membername);
First off, if you just want the number of observations, you can get that trivially from dictionary.tables or sashelp.vtable without any loops.
proc sql;
select memname, nlobs
from dictionary.tables
where libname='SNAP1';
quit;
This is fine to retrieve number of rows if you haven't done anything that would cause the number of logical observations to differ - usually a delete in proc sql.
Second, if you're interested in the number of valid responses, there are easier non-loopy ways too.
For example, given whatever query that you can write determining your table names, we can just put them all in a set statement and count in a simple data step.
%let varname=mycol; *the column you are counting;
%let libname=snap1;
proc sql;
select cats("&libname..",memname)
into :tables separated by ' '
from dictionary.tables
where libname=upcase("&libname.");
quit;
data counts;
set &tables. indsname=ds_name end=eof; *9.3 or later;
retain count dataset_name;
if _n_=1 then count=0;
if ds_name ne lag(ds_name) and _n_ ne 1 then do;
output;
count=0;
end;
dataset_name=ds_name;
count = count + ifn(&varname.,1,1,0); *true, false, missing; *false is 0 only;
if eof then output;
keep count dataset_name;
run;
Macros are rarely needed for this sort of thing, and macro loops like you're writing even less so.
If you did want to write a macro, the easier way to do it is:
Write code to do it once, for one dataset
Wrap that in a macro that takes a parameter (dataset name)
Create macro calls for that macro as needed
That way you don't have to deal with %scan and troubleshooting macro code that's hard to debug. You write something that works once, then just call it several times.
proc sql;
select cats('%mymacro(name=',"&libname..",memname,')')
into :macrocalls separated by ' '
from dictionary.tables
where libname=upcase("&libname.");
quit;
¯ocalls.;
Assuming you have a macro, %mymacro, which does whatever counting you want for one dataset.
* Updated *
In the future, please post the log so we can see what is specifically not working. I can see some issues in your code, particularly where your macro variables are being declared, and a select statement that is not doing anything. Here is an alternative process to achieve your goal:
Step 1: Read all of the customer datasets in the snap1 library into a macro variable:
proc sql noprint;
select memname
into :total_cust separated by ' '
from sashelp.vmember
where upcase(memname) LIKE 'CUST%'
AND upcase(libname) = 'SNAP1';
quit;
Step 2: Count the total number of obs in each data set, output to permanent table:
%macro count_obs;
%do i = 1 %to %sysfunc(countw(&total_cust) );
%let dsname = %scan(&total_cust, &i);
%let dsid=%sysfunc(open(&dsname) );
%let nobs=%sysfunc(attrn(&dsid,nobs) );
%let rc=%sysfunc(close(&dsid) );
data _total_obs;
length Member_Name $15.;
Member_Name = "&dsname";
Total_Obs = &nobs;
format Total_Obs comma8.;
run;
proc append base=Total_Obs
data=_total_obs;
run;
%end;
proc datasets lib=work nolist;
delete _total_obs;
quit;
%mend;
%count_obs;
You will need to delete the permanent table Total_Obs if it already exists, but you can add code to handle that if you wish.
If you want to get the total number of non-missing observations for a particular column, do the same code as above, but delete the 3 %let statements below %let dsname = and replace the data step with:
data _total_obs;
length Member_Name $7.;
set snap1.&dsname end=eof;
retain Member_Name "&dsname";
if(NOT missing(var) ) then Total_Obs+1;
if(eof);
format Total_Obs comma8.;
run;
(Update: Fixed %do loop in step 2)
Related
I want to sweep each table in a libname and calculate a hash over each row.
For that purpose, i have already a table with libname, memname, concatenated columns with ',' and number of observations
libname
memname
columns
num_obs
lib_A
table_A
col1a,col2a...colna
1
lib_A
table_B
col1b,col2b...colnb
2
lib_B
table_C
col1c,col2c...colnc
1
I first get all data into ranged macro variables (i think its easier to work, but could be wrong, ofc)
proc sql;
select libname, memname, columns, num_obs
into :lib1-, :tab1-, :column1-, :sqlobs1-
from have
where libname="&sel_livraria"; /*macro var = prompt from user*/
quit;
Just for developing guideline i made the code just to check one specific table without getting the row number of it since with a simple counter doesn't work (i get the order of the rows mess up each time i run) and it works for that purpose
%let lib=lib_A;
%let tab=table_B;
%let columns=col1b,col2b,colnb;
data want;
length check $32.;
format check $hex32.;
set &lib..&tab;
libname="&lib";
memname="&tab";
check = md5(cats(&columns));
hash = put(check,$hex32.);
keep libname memname hash;
put hash;
put _all_;
run;
So, what’s the best approach for getting a MD5 from each row (same order as tables) of all tables in a libname? I saw problems i couldn’t overcame using data steps, procs or macros.
The result i wanted if lib_A was selected in prompt were something like:
libname
memname
obs_row
hash
lib_A
table_A
1
64A29CCA15F53C83A9583841294A26AA
lib_A
table_B
1
80DAC7B9854CF71A67F9C00A7EC4D9EF
lib_A
table_B
2
0AC44CD79DAB2E33C93BB2312D3A9A40
Need some help.
Tks in advance.
You're pretty close. This is how I would approach it. We'll create a macro with three parameters: data, lib, and out. data is the dataset you have with the column information. lib is the library you want to pull from your dataset, and out is the output dataset that you want to have.
We'll read each column into an individual macro variable:
memname1
memname2
memname3
libname1
libname2
libname3
etc.
From here, we simply need to loop over all of the macro variables and apply them where appropriate. We can easily count how many there are in a data step. All we need to do is add double-ampersands to resolve them correctly. For more information on why this is, check out this MWSUG paper.
%macro get_md5(data=, lib=, out=);
/* Save all variables into macro variables:
memname1 memname2 ...
columns1 columns2 ...
*/
data _null_;
set &data.;
where upcase(libname)=upcase("&lib.");
call symputx(cats('memname', _N_), memname);
call symputx(cats('columns', _N_), columns);
call symputx(cats('obs', _N_), obs);
call symputx('n_datasets', _N_);
run;
/* Loop through all the datasets and access each macro variable */
%do i = 1 %to &n_datasets.;
/* Double ampersand needed:
First, resolve &i. to get &memname1
Then resolve &mename1 to get the value stored in the macro variable memname1
*/
%let memname = &&memname&i.;
%let columns = &&columns&i.;
%let obs = &&obs&i.;
/* Calculate md5 in a temporary dataset */
data _tmp_;
length lib $8.
memname $32.
obs_row 8.
hash $32.
;
set &lib..&memname.(obs=&obs.);
lib = "&lib.";
memname = "&memname.";
obs_row = _N_;
hash = put(md5(cats(&columns.)), $hex32.);
keep libname memname obs_row hash;
run;
/* Overwrite the dataset so we don't keep appending */
%if(&i. = 1) %then %do;
data &out.;
set _tmp_;
run;
%end;
%else %do;
proc append base=&out. data=_tmp_;
run;
%end;
%end;
/* Remove temporary data */
proc datasets lib=work nolist;
delete _tmp_;
quit;
%mend;
Example:
data have;
length libname memname columns $15.;
input libname$ memname$ columns$ obs;
datalines;
sashelp cars make,model,msrp 1
sashelp class age,height,name 2
sashelp comet dose,length,sample 1
;
run;
%get_md5(data=have, lib=sashelp, out=want);
Output:
libname memname obs_row hash
sashelp cars 1 258DADA4843E7068ABAF95667E881B7F
sashelp class 1 29E8F4F03AD2275C0F191FE3DAA03778
sashelp class 2 DB664382B88BE7E445418B1A1C8CE13B
sashelp comet 1 210394B77E7696506FDEFD78890A8AB9
I would make a macro that takes as input the four values in your metadata dataset. Note that commas are anathema to SAS programs, especially macro code, so make the macro so it can accept space delimited variable lists (like normal SAS program statements do).
To reduce the risk of name conflict I will name the variable using triple underscores and then rename them back to human friendly names when the dataset is written.
%macro next_ds(libname,memname,num_obs,varlist);
data next_ds;
length ___1 $8 ___2 $32 ___3 8 ___4 $32 ;
___1 = "&libname";
___2 = "&memname";
___3 + 1;
set &libname..&memname(obs=&num_obs keep=&varlist);
___4 = put(md5(cats(of &varlist)),$hex32.);
keep ___1-___4 ;
rename ___1=libname ___2=memname ___3=obs_row ___4=hash;
run;
%mend next_ds;
Let's make some test metadata that reference datasets everyone should have.
data have;
infile cards truncover ;
input libname :$8. memname :$32. num_obs columns $200.;
cards;
sashelp class 3 name,sex,age
sashelp cars 2 make,model
;
And make sure the target dataset does not already exists.
%if %sysfunc(exist(want)) %then %do;
proc delete data=want; run;
%end;
Now you can call that macro once for each observation in your source metadata dataset. There is no need to generated oodles of macro variables. Instead you can use CALL EXECUTE() to generate the macro calls directly from the dataset.
We can replace the commas in the column lists when making the macro call. You can add in a PROC APPEND step after each macro call to aggregate the results into a single dataset.
data _null_;
set have;
call execute(cats(
'%nrstr(%next_ds)(',libname,',',memname,',',num_obs
,',',translate(columns,' ',','),')'
));
call execute('proc append data=next_ds base=want force; run;');
run;
Notice that wrapping the macro call in %NRSTR() makes the SAS log easier to read.
1 + %next_ds(sashelp,class,3,name sex age)
2 + proc append data=next_ds base=want force; run;
3 + %next_ds(sashelp,cars,2,make model)
4 + proc append data=next_ds base=want force; run;
Results:
Obs libname memname obs_row hash
1 sashelp class 1 5425E9CEDA1DDEB71B2692A3C7050A8A
2 sashelp class 2 C532D227D358A3764C2D225DC8C02D18
3 sashelp class 3 13AD5F1517E0C4494780773B6DC15211
4 sashelp cars 1 777C60693BF5E16F38706C89301CD0A8
5 sashelp cars 2 07080C9321145395D1A2BCC10FBE6B83
Note that CATS() might not be the best method for generating the string to pass to the MD5() function. That can generate the same string for different combinations of the source variables. For example 'AB' || 'CD' is the same as 'A' || 'BCD'. Perhaps just use CAT() instead.
Stu's approach is nice, and will work most of the time but will fall over when you have wiiiide variables, a large number of variables, variables with large precision, and other edge cases.
So for the actual hashing part, you might consider this macro, which is extensively tested within Data Controller for SAS:
https://core.sasjs.io/mp__md5_8sas.html
Usage:
data _null_;
set sashelp.class;
hashvar=%mp_md5(cvars=name sex, nvars=age height weight);
put hashvar=;
run;
I would like to export the dataset to multiple excel files based on a certain variable:
proc sql;
create table try as
select distinct make from sashelp.cars;
quit;
proc sql;
create table try2 as
select count(make) as aaa from sashelp.cars;
quit;
data _null_;
set try;
by make;
call symputx ('make',compress(make,' .'),'g');
run;
data _null_;
set try2;
call symputx('n',aaa);
run;
%macro a;
%do i=1 %to &n;
%let var= %scan(&make,&i,"#");
proc export data=testing (where=(make="&make."))
outfile="C:\Users\&make..xlsx"
dbms=xlsx replace;
sheet="&make." ;
run;
%end;
%mend ;
%a;
My goal is to get all the 38 excel files with the maker name as the filename.
However, all I am able to get here is the last maker name's file.
Would you please point out where I am missing out here? Many thanks!!
Your first error is that you count the number of cars that have a make, while you should count the distinct makes of cars. Now let me also take the opportunity to explain you the into clause of sql, so you don't need that data step anymore
proc sql;
select count(distinct make)
into :make_count
from sashelp.cars;
quit;
You remove blanks and point from your make names, but you better remove all non-alphabetic characters at once, with compress(make, '', 'ka'), in which the options k stands for keep and a stands for alphabetic.
Your main error is that you think you append all make names in the macro variable make, but you actually overwrite make time and again: first you write "Cadillac" to it, then "Chevrolet" and by the time you ever use it, it became "Volvo".
I could explain you how to correct your datastep, but instead, I will learn you an option of that into statement:
proc sql;
select distinct compress(make, '', 'ka')`
into :make_list separated by ' '
from sashelp.cars;
quit;
The rest is easy.
%macro export_by_make;
%do make_nr=1 %to &make_count;
%let make= %scan(&make_list, &make_nr);
proc export data=sashelp.cars (where=(compress(make, '', 'ka')`="&make."))
outfile="C:\Users\&make..xlsx"
dbms=xlsx replace;
sheet="&make." ;
run;
%end;
%mend;
%export_by_make;
Note that you don't need to specify a separator for the %scan function, as we separated by blanks, but anyway, if you do, as you use the macro version of scan, you don't need the quotes around it.
I have several databases, one per geographical variables, that I want to append in the end. I am doing some data steps on them. As I have large databases, I select only the variables I need when I first call each table. But on tables in which one variable always equals 0, the variable is not in the table.
So when I select my (keep=var) in a for loop, it works fine if the variable exists, but it produces an error in the other case, so that these tables are ignored.
%do i=1 to 10 ;
data temp;
set area_i(keep= var1 var2);
run;
proc append base=want data=temp force;
run;
%end;
Is there a simple way to tackle that ?
In fact I have found a solution : the DKRICOND (or DKROCOND) options specify the level of error detection to report when a variable is missing from respectively an input (or output) data set during the processing of a DROP=, KEEP=, or RENAME= data set option.
The options are DKRICOND=ERROR | WARN | WARNING | NOWARN | NOWARNING, so you just wave to set
dkricond=warn
/*your program, in my case :*/
%do i=1 to 10 ;
data temp;
set area_i(keep= var1 var2);
run;
proc append base=want data=temp force;
run;
%end;
dkricond=error /* the standard value, probably better to set it back after/ */
How about just adding it to the table if it doesn't already exist?
/*look at dictionary.columns to see if the column already exists*/
proc sql;
select name into :flag separated by ' ' from dictionary.columns where libname = 'WORK' and memname = 'AREA_I' and name = 'VAR1';
run;
/*if it doesn't, then created it as empty*/
%if &flag. ne VAR1 %then %do;
data area_i;
set area_i;
call missing(var1);
run;
%end;
I need to add a prefix to certain column names in a table. The names at the moment range from _15 to _49 and I would simply like to add the prefix N to give N_15,...,N_49 etc.
I tried the following:
proc sql noprint;
select cats(name,'=','N',name)
into :prefixlist
separated by ' '
from dictionary.columns
where libname = 'WORK' and memname = 'Freq_nais_2006_2010';
quit;
However this does nothing as I just get the message no rows were selected in the log output. What must I change?
Your particular issue is that the WHERE clause is not being fulfilled by any rows, likely because of this: and memname = 'Freq_nais_2006_2010'. Member names are typically capitalized internally in SAS, even if they're not capitalized in your code.
Otherwise your code looks fine, and you should be able to use that &prefixlist. in a PROC DATASETS or data step rename statement. I generally suggest the PROC SQL method as it's easier to customize to specify the variables you want to rename, but of course if you're renaming all of the variables in the dataset the macro works as well.
You're very close:
proc sql noprint;
select cats(name,'=','N',name)
into :prefixlist
separated by ' '
from dictionary.columns
where libname = 'WORK' and memname = 'FREQ_NAIS_2006_2010'
/* and substr(NAME,1,1) = '_' - can add condition on column name pattern */;
quit;
proc datasets lib=WORK nolist nodetails;
modify FREQ_NAIS_2006_2010;
rename
&prefixlist
;
quit;
Changed separator to space for use in PROC DATASETS; MODIFY ... RENAME ... statement.
Side note: the datastep variant answers rewrite the dataset completly, which is ineffective and dangerous for real world usage (big tables), also much less clear on what you're doing.
I managed to find the following code from the sas website (http://support.sas.com/kb/37/433.html):
%macro vars(dsn,chr,out);
%let dsid=%sysfunc(open(&dsn));
%let n=%sysfunc(attrn(&dsid,nvars));
data &out;
set &dsn(rename=(
%do i = 2 %to &n;
%let var=%sysfunc(varname(&dsid,&i));
&var=&chr&var
%end;));
%let rc=%sysfunc(close(&dsid));
run;
%mend vars;
%vars(Freq_nais_2006_2010,N,Freq_nais_2006_2010);
You can just list them in the rename statement in your code, no need for macros or anything else. Though the best idea is avoid it in the first place if you can. See the rename statement below.
data test;
array test(20) _1-_20;
do i=1 to 20;
test(i)=rand('normal', 20);
end;
run;
data test2;
set test;
rename _1-_20 = n_1-n_20;
run;
I'm trying to do a loop over a liststo perform ranks for several variables.
And then I do the loop with:
options mprint;
%macro ranks(listado);
%let count=%sysfunc(countw(&listado));/*counw= count words in a string*/
%do i=1 %to &count;
%put 'count' &count;
%let vari=%qscan(&listado,&i,%str(,));
%put 'vari' &vari;
proc rank data=labo2.J_tabla_modelo groups=10 out=labo2.tmp;
var &vari.;
ranks rk_&vari.;
run;
%end;
%mend;
%ranks(%str(G_MERGE6_t1_monto6,A_CLI_monto_sucursal_1,A_CLI_monto_sucursal_2,
A_CLI_monto_sucursal_3, A_CLI_monto_sucursal_4,A_M_0705_monto));
I get the following error:
ERROR: Number of VAR statement variables was not equal to the number of RANKS statement variables.
Don't know how to solve it. Because if I run the code written by the macro works.
Thanks!
First off, don't do the macro loop this way. It's messy. Generate a list of macro calls.
Second, you're not really wanting to do that either, here. What you need to generate is this:
proc rank data=whatever out=whatever;
var v1 v2 v3 v4;
ranks r_v1 r_v2 r_v3 r_v4;
run;
What you are generating is a bunch of different PROC RANKs, which isn't ideal.
How I'd do it:
data my_vars;
length vari $32;
input vari $;
datalines;
G_MERGE6_t1_monto6
A_CLI_monto_sucursal_1
A_CLI_monto_sucursal_2
A_CLI_monto_sucursal_3
A_CLI_monto_sucursal_4
A_M_0705_monto
;;;;
run;
proc sql;
select cats('r_',vari)
into :ranklist separated by ' '
from my_vars;
select vari
into :varlist separated by ' '
from my_vars;
quit;
proc rank data=whatever out=whatever groups=10;
var &varlist;
rank &ranklist;
run;
If you actually do need the individual PROC RANK calls, then you need to figure out how to deal with the output, and then do a similar approach.
(Also, odds are that first datastep isn't needed- you probably have that data somewhere, like in dictionary.columns).