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Author SHA1 Message Date
Allan Bowe 4e5c6e8f8d Merge pull request #434 from sasjs/leadblanks
fix: ensure leading blanks are always imported
2026-07-22 18:04:18 +01:00
github-actions 619fedd49d chore: updating all.sas 2026-07-22 16:45:42 +00:00
4gl 3d52ec7ef5 fix: failing test + additional docs 2026-07-22 17:45:21 +01:00
github-actions ebb00f458b chore: updating all.sas 2026-07-22 15:29:43 +00:00
4gl e24ef4c6fc fix: ensure leading blanks are always imported 2026-07-22 16:29:18 +01:00
Allan Bowe e104f0722d Merge pull request #433 from sasjs/mp_rowhash
refactor mf_wordsinstr1andstr2 + mf_wordsinstr1butnotstr2
2026-07-19 23:21:19 +01:00
github-actions 05e892619a chore: updating all.sas 2026-07-19 22:17:34 +00:00
dcbot 444ffac0f3 fix: refactor of mf_wordsinstr1-xxx-str2 macros to support 000s of vals efficiently 2026-07-19 23:17:12 +01:00
Allan Bowe c046df4680 Merge pull request #432 from sasjs/mp_rowhash
feat: mp_rowhash macro and fixed failing tests
2026-07-18 22:54:53 +01:00
github-actions 268b4823ed chore: updating all.sas 2026-07-18 21:29:50 +00:00
dcbot a0146a1f91 fix: use if/else instead of ifn() in hash evaluation 2026-07-18 22:29:27 +01:00
github-actions 004611e480 chore: updating all.sas 2026-07-18 12:15:28 +00:00
dcbot 167defb31b feat: mp_rowhash macro and fixed failing tests 2026-07-18 13:09:58 +01:00
37 changed files with 1037 additions and 163 deletions
+59
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@@ -0,0 +1,59 @@
# Testing in @sasjs/core
## Overview
Tests are executed on a real SAS server using the SASjs CLI (`sasjs test`), not locally. Each test is a self-contained `.sas` file that is submitted to the server, and results are collected in the `sasjsresults` folder.
## Running Tests
```bash
npm test # runs: npx @sasjs/cli test -t server
```
The `-t server` flag selects the target (server type) from `sasjs/sasjsconfig.json`.
## Test Structure
Test files live under `tests/` in subfolders by platform applicability:
- `tests/base` — run on all platforms (SAS 9 and Viya)
- `tests/sas9only` — SAS 9 only (metadata server macros)
- `tests/viyaonly` — Viya only
- `tests/serveronly` — SASjs Server only
- `tests/x-platform` — cross-platform (both SAS 9 and Viya)
- `tests/ddlonly` — DDL-related tests
Naming convention: `<macroname>.test.sas`, with numbered variants (`<macroname>.test.1.sas`, `.test.2.sas`, ...) for multiple tests of the same macro. File names are lowercase, matching the lint rules.
## Test Flow
1. **Init**: `tests/testinit.sas` runs before every test (configured in `sasjsconfig.json` under `testConfig.initProgram`). It sets up a unique app location (`mcTestAppLoc`), the compute context, calls `%mp_init()`, and enables debug options when `_debug` is set.
2. **Test body**: the test file itself runs. It should use `%mp_assert()` to record results into `work.test_results`:
```sas
%mp_assert(
iftrue=(&syscc=0),
desc=Checking for error condition,
outds=work.test_results
)
```
3. **Term**: `tests/testterm.sas` runs after every test (`testConfig.termProgram`). It adds a final assertion that `&syscc=0`, then writes the results as JSON via `%webout(OPEN) / %webout(OBJ,TEST_RESULTS) / %webout(CLOSE)`.
## Results
After a test run, check the `sasjsresults` folder:
- `testResults.json` / `testResults.xml` / `testResults.csv` — per-test PASS/FAIL with descriptions and comments
- `logs/<testname>.log` — the full SAS log for each test; check here first when a test fails
- `coverage.lcov` — coverage data
## Writing Tests — Things to Know
- Tests follow the same Doxygen header and lint standards as regular macros (`@file`, `@brief`, `<h4> SAS Macros </h4>` listing macros used).
- Macro *calls* are not terminated with semicolons: use `%mp_assert(...)` not `%mp_assert(...);`.
- Use `%mp_assert(iftrue=(...), desc=..., outds=work.test_results)` for every check — always append to `work.test_results`.
- When comparing datasets after a round trip (eg through JSON), do not assert `proc compare` SYSINFO=0 directly — SYSINFO is a bitmask that includes attribute differences (length, format, label) which round trips legitimately change. Mask it to data-related bits only (64=missing obs in compare, 128=extra obs in compare, 4096=unequal values, 32768=obs count differs). Note `SYSINFO` is a read-only automatic macro variable, so store the masked value in a new variable.
- Be careful with character data round trips: `cats()` and the plain `$` informat strip leading blanks; use `trim()` and `$char` where leading blanks must be preserved.
- After any change, run `npx sasjs lint`.
- Do not edit generated copies under `sasjsbuild/` — they are refreshed by the CI build.
+1
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@@ -8,3 +8,4 @@ sasjs/
make_singlefile.sh
*.md
.all-contributorsrc
.agents
+37
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@@ -0,0 +1,37 @@
# Agent Instructions for @sasjs/core
Follow these rules when editing or generating code for the @sasjs/core SAS macro library.
## Project Context
This repo is the SASjs Macro Core library — a collection of MIT-licensed, production-quality SAS macros for SAS application development.
## Versioning
- NEVER bump or modify the version in `package.json`.
- Versioning is handled entirely by the CI/CD pipeline using semantic-release.
## SAS Style & Standards
- Read and follow the standards documented in `README.md` (Sections: Components, Standards, File Properties, Header Properties, Coding Standards).
- Read and follow `.sasjslint`:
- No trailing spaces.
- Requires a Doxygen header on every macro (`@file`, `@brief`, etc.).
- Lowercase file names without spaces.
- Lowercase macro names.
- Macro definitions must use parentheses, e.g. `%macro x();` not `%macro x;`.
- Indentation = 2 spaces (or multiple thereof); no tabs.
- Max line length 300.
- No gremlins / invisible characters.
- One macro per file; filename must match macro name.
- Macro *calls* should NOT be terminated with a semicolon. Use `%my_macro()` not `%my_macro();`.
- Macro variables must always be local, to prevent scope leakage.
## Testing
- Read `.agents/docs/tests.md` for details on how the testing process works (how to run tests, structure, assertions, and where to find logs/results).
## Markdown Files
- Markdown files must not use word-wrap: never insert carriage returns mid-sentence. Each sentence/paragraph stays on one line.
## Build / Generated Files
- Do not run the build script locally; it is executed in the CI/CD pipeline.
- Generated files, including the consolidated `all.sas`, the per-folder `mc_*.sas` files, and the LUA macro wrappers in the `lua` folder, can generally be ignored unless the pipeline requires an update. Do not edit generated files by hand.
- run sasjs lint after each change
+182 -60
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@@ -2621,9 +2621,12 @@ Usage:
@brief Returns words that are in both string 1 and string 2
@details Compares two space separated strings and returns the words that are
in both.
If either string is empty, nothing is returned.
Usage:
%put %mf_wordsInStr1andStr2(
%put %mf_wordsinstr1andstr2(
Str1=blah sss blaaah brah bram boo
,Str2= blah blaaah brah ssss
);
@@ -2641,34 +2644,26 @@ Usage:
**/
%macro mf_wordsInStr1andStr2(
%macro mf_wordsinstr1andstr2(
Str1= /* string containing words to extract */
,Str2= /* used to compare with the extract string */
)/*/STORE SOURCE*/;
%local count_base count_extr i i2 extr_word base_word match outvar;
%local count_extr i extr_word outvar;
%if %length(&str1)=0 or %length(&str2)=0 %then %do;
%put base string (str1)= &str1;
%put compare string (str2) = &str2;
%put &sysmacroname: empty input string, nothing to compare;
%return;
%end;
%let count_base=%sysfunc(countw(&Str2));
%let count_extr=%sysfunc(countw(&Str1));
%do i=1 %to &count_extr;
%let extr_word=%scan(&Str1,&i,%str( ));
%let match=0;
%do i2=1 %to &count_base;
%let base_word=%scan(&Str2,&i2,%str( ));
%if &extr_word=&base_word %then %let match=1;
%end;
%if &match=1 %then %let outvar=&outvar &extr_word;
%if %sysfunc(indexw(%superq(str2),%superq(extr_word)))>0 %then
%let outvar=&outvar &extr_word;
%end;
&outvar
%mend mf_wordsInStr1andStr2;
/* send out the result without any surrounding whitespace */
%do;&outvar%end;
%mend mf_wordsinstr1andstr2;
/**
@file
@brief Returns words that are in string 1 but not in string 2
@@ -2677,9 +2672,12 @@ Usage:
Note - case sensitive!
If str1 is empty, nothing is returned. If str2 is empty, all the words in
str1 are returned.
Usage:
%let x= %mf_wordsInStr1ButNotStr2(
%let x= %mf_wordsinstr1butnotstr2(
Str1=blah sss blaaah brah bram boo
,Str2= blah blaaah brah ssss
);
@@ -2695,34 +2693,26 @@ Usage:
**/
%macro mf_wordsInStr1ButNotStr2(
%macro mf_wordsinstr1butnotstr2(
Str1= /* string containing words to extract */
,Str2= /* used to compare with the extract string */
)/*/STORE SOURCE*/;
%local count_base count_extr i i2 extr_word base_word match outvar;
%if %length(&str1)=0 or %length(&str2)=0 %then %do;
%put base string (str1)= &str1;
%put compare string (str2) = &str2;
%local count_extr i extr_word outvar;
%if %length(&str1)=0 %then %do;
%put &sysmacroname: str1 is empty, nothing to compare;
%return;
%end;
%let count_base=%sysfunc(countw(&Str2));
%let count_extr=%sysfunc(countw(&Str1));
%do i=1 %to &count_extr;
%let extr_word=%scan(&Str1,&i,%str( ));
%let match=0;
%do i2=1 %to &count_base;
%let base_word=%scan(&Str2,&i2,%str( ));
%if &extr_word=&base_word %then %let match=1;
%end;
%if &match=0 %then %let outvar=&outvar &extr_word;
%if %sysfunc(indexw(%superq(str2),%superq(extr_word)))=0 %then
%let outvar=&outvar &extr_word;
%end;
&outvar
%mend mf_wordsInStr1ButNotStr2;
/* send out the result without any surrounding whitespace */
%do;&outvar%end;
%mend mf_wordsinstr1butnotstr2;
/**
@file
@brief Creates a text file using pure macro
@@ -6011,10 +6001,10 @@ data _null_;
* there is not much point importing a short length numeric like this,
* eg with best4., as the resulting variable will still be stored as
* length 8. We need a length or format statement to ensure variable
* is creatd with the smaller length...
* is created with the smaller length...
**/
else if vlen<8 then header=cats(varnm,':best',vlen,'.');
else header=cats(varnm,':best.');
else header=cats(varnm,':best32.');
end;
%end;
%else %do;
@@ -9721,7 +9711,7 @@ run;
@li mf_getattrn.sas
@li mf_getuniquename.sas
@li mf_getvarlist.sas
@li mp_md5.sas
@li mp_rowhash.sas
<h4> Related Files </h4>
@li mp_hashdataset.test.sas
@@ -9750,8 +9740,7 @@ run;
%local keyvar /* roll up the md5 */
prevkeyvar /* retain prev record md5 */
lastvar /* last var in input ds */
cvars nvars;
lastvar /* last var in input ds */;
%if not(%eval(%unquote(&iftrue))) %then %return;
@@ -9783,10 +9772,11 @@ run;
retain &prevkeyvar;
if _n_=1 then &prevkeyvar=put(md5("&salt"),$hex32.);
set &libds end=&lastvar;
/* hash should include previous row */
&keyvar=%mp_md5(
cvars=%mf_getvarlist(&libds,typefilter=C) &prevkeyvar,
nvars=%mf_getvarlist(&libds,typefilter=N)
/* hash should include previous row - listed first so it is hashed first */
%mp_rowhash(
md5_col=&keyvar
,cvars=&prevkeyvar %mf_getvarlist(&libds,typefilter=C)
,nvars=%mf_getvarlist(&libds,typefilter=N)
);
&prevkeyvar=&keyvar;
if &lastvar then output;
@@ -10474,7 +10464,8 @@ options
prxchange('s/\\/\\\\/',-1,&&name&i)
)))))))))))))!!'"';
end;
else &&name&i=quote(cats(&&name&i));
/* trim (not cats) so leading blanks are retained */
else &&name&i='"'!!trim(&&name&i)!!'"';
%end;
%end;
run;
@@ -10747,7 +10738,7 @@ select distinct lowcase(memname)
@li mp_aligndecimal.sas
@li mp_cntlout.sas
@li mp_lockanytable.sas
@li mp_md5.sas
@li mp_rowhash.sas
@li mp_storediffs.sas
<h4> Related Macros </h4>
@@ -10876,14 +10867,19 @@ select distinct
%let nvars=FMTROW MIN MAX DEFAULT LENGTH FUZZ MULT NOEDIT;
data &base_fmts/note2err;
set &base_fmts;
fmthash=%mp_md5(cvars=&cvars, nvars=&nvars);
length fmthash $32;
%mp_rowhash(
md5_col=fmthash
,cvars=&cvars
,nvars=&nvars
)
run;
/**
* Ensure input table and base_formats have consistent lengths and types
*/
data &inlibds/nonote2err;
length &delete_col $3 FMTROW 8 start end label $32767;
length &delete_col $3 FMTROW 8 start end label $32767 fmthash $32;
if 0 then set &base_fmts;
set &libds;
by type fmtname notsorted;
@@ -10905,7 +10901,11 @@ data &inlibds/nonote2err;
%mp_aligndecimal(end,width=16)
end;
fmthash=%mp_md5(cvars=&cvars, nvars=&nvars);
%mp_rowhash(
md5_col=fmthash
,cvars=&cvars
,nvars=&nvars
)
run;
/**
@@ -11571,11 +11571,16 @@ drop table &ds1, &ds2;
@li Global option: `options dsoptions=nonote2err;`
@li Data step option: `data YOURLIB.YOURDATASET /nonote2err;`
For very wide tables (hundreds or thousands of columns) consider using
`mp_rowhash.sas`, which builds the same type of row hash iteratively and
avoids creating a single, very long concatenated SAS expression.
@param [in] cvars= () Space seperated list of character variables
@param [in] nvars= () Space seperated list of numeric variables
<h4> Related Programs </h4>
@li mp_init.sas
@li mp_rowhash.sas
@version 9.2
@author Allan Bowe
@@ -12283,6 +12288,96 @@ run;
%mend mp_retainedkey;
/**
@file
@brief Iterative row-level MD5 hash generator
@details Generates DATA step statements that compute a deterministic,
row-level MD5 hash using a Merkle-style construction. Each variable is
hashed independently and the resulting raw 16-byte digests are combined
iteratively. This avoids concatenating the per-variable hex digests into a
single SAS character expression, which overflows when datasets contain many
variables.
Temporary variables use five leading underscores.
This macro is called from inside a DATA step. The caller is responsible
for declaring the output hash column if it does not already exist on the
input dataset.
Variables are hashed in the order supplied. If a particular variable
needs to influence the hash first (for example the previous row hash in
`mp_hashdataset`, or business dates in Data Controller's bitemporal
loader) simply list it first in `cvars` or `nvars`.
@param [in] md5_col= Name of the output hash column.
@param [in] cvars= Space separated list of character variables to hash.
@param [in] nvars= Space separated list of numeric variables to hash.
@version 9.3M5
@author Allan Bowe
**/
%macro mp_rowhash(
md5_col=
,cvars=
,nvars=
);
/* DATA step temp variables use five leading underscores. The names
are generated at macro invocation to avoid clashing with data columns. */
%local state digest pair numtext normal i chars nums;
%let state=%mf_getuniquename(prefix=_____state_);
%let digest=%mf_getuniquename(prefix=_____digest_);
%let pair=%mf_getuniquename(prefix=_____pair_);
%let numtext=%mf_getuniquename(prefix=_____numtext_);
%let normal=%mf_getuniquename(prefix=_____normal_);
%let i=%mf_getuniquename(prefix=_____i_);
%let chars=%mf_getuniquename(prefix=_____chars_);
%let nums=%mf_getuniquename(prefix=_____nums_);
length &state $16
&digest $16
&pair $32
&numtext $64
&normal &i 8;
if _n_=1 then call missing(&state,&digest,&pair,&numtext,&normal,&i);
drop &state &digest &pair &numtext &normal &i;
/* Versioned seed prevents confusion with other hashing schemes. */
&state = md5('DC HASH v2');
%if %length(&cvars)>0 %then %do;
array &chars{*} $ &cvars;
do &i = 1 to dim(&chars);
/* Leading blanks are retained. */
&digest = md5(trimn(&chars[&i]));
substr(&pair, 1, 16) = &state;
substr(&pair, 17, 16) = &digest;
&state = md5(&pair);
end;
%end;
%if %length(&nvars)>0 %then %do;
array &nums{*} &nvars;
do &i = 1 to dim(&nums);
/*
multiply-by-one for consistent cross-system precision.
Ignore null to protect SAS special missing values.
Cannot use IFN() as it evaluates both sides
*/
if missing(&nums[&i]) then &normal = &nums[&i];
else &normal = &nums[&i] * 1;
&numtext = put(&normal, binary64.);
&digest = md5(trim(&numtext));
substr(&pair, 1, 16) = &state;
substr(&pair, 17, 16) = &digest;
&state = md5(&pair);
end;
%end;
&md5_col = put(&state, $hex32.);
%mend mp_rowhash;
/**
@file mp_runddl.sas
@brief An opinionated way to execute DDL files in SAS.
@@ -17453,7 +17548,8 @@ data _null_;
put ' prxchange(''s/\\/\\\\/'',-1,&&name&i) ';
put ' )))))))))))))!!''"''; ';
put ' end; ';
put ' else &&name&i=quote(cats(&&name&i)); ';
put ' /* trim (not cats) so leading blanks are retained */ ';
put ' else &&name&i=''"''!!trim(&&name&i)!!''"''; ';
put ' %end; ';
put ' %end; ';
put ' run; ';
@@ -17572,7 +17668,10 @@ data _null_;
put ' data _null_; ';
put ' infile &&_webin_fileref&i termstr=crlf; ';
put ' input; ';
put ' call symputx(''input_statement'',_infile_); ';
put ' /* a plain $ informat strips leading blanks - use $char instead */ ';
put ' call symputx(''input_statement'' ';
put ' ,prxchange(''s/:\$(?=[0-9 ])/:\$char/i'',-1,_infile_) ';
put ' ); ';
put ' putlog "&&_webin_name&i input statement: " _infile_; ';
put ' stop; ';
put ' data &&_webin_name&i; ';
@@ -21271,7 +21370,10 @@ run;
data _null_;
infile &&_webin_fileref&i termstr=crlf;
input;
call symputx('input_statement',_infile_);
/* a plain $ informat strips leading blanks - use $char instead */
call symputx('input_statement'
,prxchange('s/:\$(?=[0-9 ])/:\$char/i',-1,_infile_)
);
putlog "&&_webin_name&i input statement: " _infile_;
stop;
data &&_webin_name&i;
@@ -22565,7 +22667,8 @@ data _null_;
put ' prxchange(''s/\\/\\\\/'',-1,&&name&i) ';
put ' )))))))))))))!!''"''; ';
put ' end; ';
put ' else &&name&i=quote(cats(&&name&i)); ';
put ' /* trim (not cats) so leading blanks are retained */ ';
put ' else &&name&i=''"''!!trim(&&name&i)!!''"''; ';
put ' %end; ';
put ' %end; ';
put ' run; ';
@@ -22682,7 +22785,10 @@ data _null_;
put ' data _null_; ';
put ' infile &&_webin_fileref&i termstr=crlf lrecl=32767; ';
put ' input; ';
put ' call symputx(''input_statement'',_infile_); ';
put ' /* a plain $ informat strips leading blanks - use $char instead */ ';
put ' call symputx(''input_statement'' ';
put ' ,prxchange(''s/:\$(?=[0-9 ])/:\$char/i'',-1,_infile_) ';
put ' ); ';
put ' putlog "&&_webin_name&i input statement: " _infile_; ';
put ' stop; ';
put ' data &&_webin_name&i; ';
@@ -23951,7 +24057,10 @@ run;
data _null_;
infile &&_webin_fileref&i termstr=crlf lrecl=32767;
input;
call symputx('input_statement',_infile_);
/* a plain $ informat strips leading blanks - use $char instead */
call symputx('input_statement'
,prxchange('s/:\$(?=[0-9 ])/:\$char/i',-1,_infile_)
);
putlog "&&_webin_name&i input statement: " _infile_;
stop;
data &&_webin_name&i;
@@ -26216,7 +26325,8 @@ data _null_;
put ' prxchange(''s/\\/\\\\/'',-1,&&name&i) ';
put ' )))))))))))))!!''"''; ';
put ' end; ';
put ' else &&name&i=quote(cats(&&name&i)); ';
put ' /* trim (not cats) so leading blanks are retained */ ';
put ' else &&name&i=''"''!!trim(&&name&i)!!''"''; ';
put ' %end; ';
put ' %end; ';
put ' run; ';
@@ -26362,7 +26472,10 @@ data _null_;
put ' data _null_; ';
put ' infile "%sysfunc(pathname(work))/&table..csv" termstr=crlf ; ';
put ' input; ';
put ' if _n_=1 then call symputx(''input_statement'',_infile_); ';
put ' /* a plain $ informat strips leading blanks - use $char instead */ ';
put ' if _n_=1 then call symputx(''input_statement'' ';
put ' ,prxchange(''s/:\$(?=[0-9 ])/:\$char/i'',-1,_infile_) ';
put ' ); ';
put ' list; ';
put ' data work.&table; ';
put ' infile "%sysfunc(pathname(work))/&table..csv" firstobs=2 dsd ';
@@ -26382,7 +26495,10 @@ data _null_;
put ' data _null_; ';
put ' infile indata termstr=crlf lrecl=32767; ';
put ' input; ';
put ' if _n_=1 then call symputx(''input_statement'',_infile_); ';
put ' /* a plain $ informat strips leading blanks - use $char instead */ ';
put ' if _n_=1 then call symputx(''input_statement'' ';
put ' ,prxchange(''s/:\$(?=[0-9 ])/:\$char/i'',-1,_infile_) ';
put ' ); ';
put ' %if %str(&_debug) ge 128 %then %do; ';
put ' if _n_<20 then putlog _infile_; ';
put ' else stop; ';
@@ -30508,7 +30624,10 @@ filename &fref1 clear;
data _null_;
infile "%sysfunc(pathname(work))/&table..csv" termstr=crlf ;
input;
if _n_=1 then call symputx('input_statement',_infile_);
/* a plain $ informat strips leading blanks - use $char instead */
if _n_=1 then call symputx('input_statement'
,prxchange('s/:\$(?=[0-9 ])/:\$char/i',-1,_infile_)
);
list;
data work.&table;
infile "%sysfunc(pathname(work))/&table..csv" firstobs=2 dsd
@@ -30528,7 +30647,10 @@ filename &fref1 clear;
data _null_;
infile indata termstr=crlf lrecl=32767;
input;
if _n_=1 then call symputx('input_statement',_infile_);
/* a plain $ informat strips leading blanks - use $char instead */
if _n_=1 then call symputx('input_statement'
,prxchange('s/:\$(?=[0-9 ])/:\$char/i',-1,_infile_)
);
%if %str(&_debug) ge 128 %then %do;
if _n_<20 then putlog _infile_;
else stop;
+12 -17
View File
@@ -3,9 +3,12 @@
@brief Returns words that are in both string 1 and string 2
@details Compares two space separated strings and returns the words that are
in both.
If either string is empty, nothing is returned.
Usage:
%put %mf_wordsInStr1andStr2(
%put %mf_wordsinstr1andstr2(
Str1=blah sss blaaah brah bram boo
,Str2= blah blaaah brah ssss
);
@@ -23,31 +26,23 @@
**/
%macro mf_wordsInStr1andStr2(
%macro mf_wordsinstr1andstr2(
Str1= /* string containing words to extract */
,Str2= /* used to compare with the extract string */
)/*/STORE SOURCE*/;
%local count_base count_extr i i2 extr_word base_word match outvar;
%local count_extr i extr_word outvar;
%if %length(&str1)=0 or %length(&str2)=0 %then %do;
%put base string (str1)= &str1;
%put compare string (str2) = &str2;
%put &sysmacroname: empty input string, nothing to compare;
%return;
%end;
%let count_base=%sysfunc(countw(&Str2));
%let count_extr=%sysfunc(countw(&Str1));
%do i=1 %to &count_extr;
%let extr_word=%scan(&Str1,&i,%str( ));
%let match=0;
%do i2=1 %to &count_base;
%let base_word=%scan(&Str2,&i2,%str( ));
%if &extr_word=&base_word %then %let match=1;
%end;
%if &match=1 %then %let outvar=&outvar &extr_word;
%if %sysfunc(indexw(%superq(str2),%superq(extr_word)))>0 %then
%let outvar=&outvar &extr_word;
%end;
&outvar
%mend mf_wordsInStr1andStr2;
/* send out the result without any surrounding whitespace */
%do;&outvar%end;
%mend mf_wordsinstr1andstr2;
+13 -18
View File
@@ -6,9 +6,12 @@
Note - case sensitive!
If str1 is empty, nothing is returned. If str2 is empty, all the words in
str1 are returned.
Usage:
%let x= %mf_wordsInStr1ButNotStr2(
%let x= %mf_wordsinstr1butnotstr2(
Str1=blah sss blaaah brah bram boo
,Str2= blah blaaah brah ssss
);
@@ -24,31 +27,23 @@
**/
%macro mf_wordsInStr1ButNotStr2(
%macro mf_wordsinstr1butnotstr2(
Str1= /* string containing words to extract */
,Str2= /* used to compare with the extract string */
)/*/STORE SOURCE*/;
%local count_base count_extr i i2 extr_word base_word match outvar;
%if %length(&str1)=0 or %length(&str2)=0 %then %do;
%put base string (str1)= &str1;
%put compare string (str2) = &str2;
%local count_extr i extr_word outvar;
%if %length(&str1)=0 %then %do;
%put &sysmacroname: str1 is empty, nothing to compare;
%return;
%end;
%let count_base=%sysfunc(countw(&Str2));
%let count_extr=%sysfunc(countw(&Str1));
%do i=1 %to &count_extr;
%let extr_word=%scan(&Str1,&i,%str( ));
%let match=0;
%do i2=1 %to &count_base;
%let base_word=%scan(&Str2,&i2,%str( ));
%if &extr_word=&base_word %then %let match=1;
%end;
%if &match=0 %then %let outvar=&outvar &extr_word;
%if %sysfunc(indexw(%superq(str2),%superq(extr_word)))=0 %then
%let outvar=&outvar &extr_word;
%end;
&outvar
%mend mf_wordsInStr1ButNotStr2;
/* send out the result without any surrounding whitespace */
%do;&outvar%end;
%mend mf_wordsinstr1butnotstr2;
+2 -2
View File
@@ -130,10 +130,10 @@ data _null_;
* there is not much point importing a short length numeric like this,
* eg with best4., as the resulting variable will still be stored as
* length 8. We need a length or format statement to ensure variable
* is creatd with the smaller length...
* is created with the smaller length...
**/
else if vlen<8 then header=cats(varnm,':best',vlen,'.');
else header=cats(varnm,':best.');
else header=cats(varnm,':best32.');
end;
%end;
%else %do;
+7 -7
View File
@@ -17,7 +17,7 @@
@li mf_getattrn.sas
@li mf_getuniquename.sas
@li mf_getvarlist.sas
@li mp_md5.sas
@li mp_rowhash.sas
<h4> Related Files </h4>
@li mp_hashdataset.test.sas
@@ -46,8 +46,7 @@
%local keyvar /* roll up the md5 */
prevkeyvar /* retain prev record md5 */
lastvar /* last var in input ds */
cvars nvars;
lastvar /* last var in input ds */;
%if not(%eval(%unquote(&iftrue))) %then %return;
@@ -79,10 +78,11 @@
retain &prevkeyvar;
if _n_=1 then &prevkeyvar=put(md5("&salt"),$hex32.);
set &libds end=&lastvar;
/* hash should include previous row */
&keyvar=%mp_md5(
cvars=%mf_getvarlist(&libds,typefilter=C) &prevkeyvar,
nvars=%mf_getvarlist(&libds,typefilter=N)
/* hash should include previous row - listed first so it is hashed first */
%mp_rowhash(
md5_col=&keyvar
,cvars=&prevkeyvar %mf_getvarlist(&libds,typefilter=C)
,nvars=%mf_getvarlist(&libds,typefilter=N)
);
&prevkeyvar=&keyvar;
if &lastvar then output;
+2 -1
View File
@@ -331,7 +331,8 @@
prxchange('s/\\/\\\\/',-1,&&name&i)
)))))))))))))!!'"';
end;
else &&name&i=quote(cats(&&name&i));
/* trim (not cats) so leading blanks are retained */
else &&name&i='"'!!trim(&&name&i)!!'"';
%end;
%end;
run;
+13 -4
View File
@@ -45,7 +45,7 @@
@li mp_aligndecimal.sas
@li mp_cntlout.sas
@li mp_lockanytable.sas
@li mp_md5.sas
@li mp_rowhash.sas
@li mp_storediffs.sas
<h4> Related Macros </h4>
@@ -174,14 +174,19 @@ select distinct
%let nvars=FMTROW MIN MAX DEFAULT LENGTH FUZZ MULT NOEDIT;
data &base_fmts/note2err;
set &base_fmts;
fmthash=%mp_md5(cvars=&cvars, nvars=&nvars);
length fmthash $32;
%mp_rowhash(
md5_col=fmthash
,cvars=&cvars
,nvars=&nvars
)
run;
/**
* Ensure input table and base_formats have consistent lengths and types
*/
data &inlibds/nonote2err;
length &delete_col $3 FMTROW 8 start end label $32767;
length &delete_col $3 FMTROW 8 start end label $32767 fmthash $32;
if 0 then set &base_fmts;
set &libds;
by type fmtname notsorted;
@@ -203,7 +208,11 @@ data &inlibds/nonote2err;
%mp_aligndecimal(end,width=16)
end;
fmthash=%mp_md5(cvars=&cvars, nvars=&nvars);
%mp_rowhash(
md5_col=fmthash
,cvars=&cvars
,nvars=&nvars
)
run;
/**
+5
View File
@@ -28,11 +28,16 @@
@li Global option: `options dsoptions=nonote2err;`
@li Data step option: `data YOURLIB.YOURDATASET /nonote2err;`
For very wide tables (hundreds or thousands of columns) consider using
`mp_rowhash.sas`, which builds the same type of row hash iteratively and
avoids creating a single, very long concatenated SAS expression.
@param [in] cvars= () Space seperated list of character variables
@param [in] nvars= () Space seperated list of numeric variables
<h4> Related Programs </h4>
@li mp_init.sas
@li mp_rowhash.sas
@version 9.2
@author Allan Bowe
+90
View File
@@ -0,0 +1,90 @@
/**
@file
@brief Iterative row-level MD5 hash generator
@details Generates DATA step statements that compute a deterministic,
row-level MD5 hash using a Merkle-style construction. Each variable is
hashed independently and the resulting raw 16-byte digests are combined
iteratively. This avoids concatenating the per-variable hex digests into a
single SAS character expression, which overflows when datasets contain many
variables.
Temporary variables use five leading underscores.
This macro is called from inside a DATA step. The caller is responsible
for declaring the output hash column if it does not already exist on the
input dataset.
Variables are hashed in the order supplied. If a particular variable
needs to influence the hash first (for example the previous row hash in
`mp_hashdataset`, or business dates in Data Controller's bitemporal
loader) simply list it first in `cvars` or `nvars`.
@param [in] md5_col= Name of the output hash column.
@param [in] cvars= Space separated list of character variables to hash.
@param [in] nvars= Space separated list of numeric variables to hash.
@version 9.3M5
@author Allan Bowe
**/
%macro mp_rowhash(
md5_col=
,cvars=
,nvars=
);
/* DATA step temp variables use five leading underscores. The names
are generated at macro invocation to avoid clashing with data columns. */
%local state digest pair numtext normal i chars nums;
%let state=%mf_getuniquename(prefix=_____state_);
%let digest=%mf_getuniquename(prefix=_____digest_);
%let pair=%mf_getuniquename(prefix=_____pair_);
%let numtext=%mf_getuniquename(prefix=_____numtext_);
%let normal=%mf_getuniquename(prefix=_____normal_);
%let i=%mf_getuniquename(prefix=_____i_);
%let chars=%mf_getuniquename(prefix=_____chars_);
%let nums=%mf_getuniquename(prefix=_____nums_);
length &state $16
&digest $16
&pair $32
&numtext $64
&normal &i 8;
if _n_=1 then call missing(&state,&digest,&pair,&numtext,&normal,&i);
drop &state &digest &pair &numtext &normal &i;
/* Versioned seed prevents confusion with other hashing schemes. */
&state = md5('DC HASH v2');
%if %length(&cvars)>0 %then %do;
array &chars{*} $ &cvars;
do &i = 1 to dim(&chars);
/* Leading blanks are retained. */
&digest = md5(trimn(&chars[&i]));
substr(&pair, 1, 16) = &state;
substr(&pair, 17, 16) = &digest;
&state = md5(&pair);
end;
%end;
%if %length(&nvars)>0 %then %do;
array &nums{*} &nvars;
do &i = 1 to dim(&nums);
/*
multiply-by-one for consistent cross-system precision.
Ignore null to protect SAS special missing values.
Cannot use IFN() as it evaluates both sides
*/
if missing(&nums[&i]) then &normal = &nums[&i];
else &normal = &nums[&i] * 1;
&numtext = put(&normal, binary64.);
&digest = md5(trim(&numtext));
substr(&pair, 1, 16) = &state;
substr(&pair, 17, 16) = &digest;
&state = md5(&pair);
end;
%end;
&md5_col = put(&state, $hex32.);
%mend mp_rowhash;
+6 -2
View File
@@ -355,7 +355,8 @@ data _null_;
put ' prxchange(''s/\\/\\\\/'',-1,&&name&i) ';
put ' )))))))))))))!!''"''; ';
put ' end; ';
put ' else &&name&i=quote(cats(&&name&i)); ';
put ' /* trim (not cats) so leading blanks are retained */ ';
put ' else &&name&i=''"''!!trim(&&name&i)!!''"''; ';
put ' %end; ';
put ' %end; ';
put ' run; ';
@@ -474,7 +475,10 @@ data _null_;
put ' data _null_; ';
put ' infile &&_webin_fileref&i termstr=crlf; ';
put ' input; ';
put ' call symputx(''input_statement'',_infile_); ';
put ' /* a plain $ informat strips leading blanks - use $char instead */ ';
put ' call symputx(''input_statement'' ';
put ' ,prxchange(''s/:\$(?=[0-9 ])/:\$char/i'',-1,_infile_) ';
put ' ); ';
put ' putlog "&&_webin_name&i input statement: " _infile_; ';
put ' stop; ';
put ' data &&_webin_name&i; ';
+4 -1
View File
@@ -77,7 +77,10 @@
data _null_;
infile &&_webin_fileref&i termstr=crlf;
input;
call symputx('input_statement',_infile_);
/* a plain $ informat strips leading blanks - use $char instead */
call symputx('input_statement'
,prxchange('s/:\$(?=[0-9 ])/:\$char/i',-1,_infile_)
);
putlog "&&_webin_name&i input statement: " _infile_;
stop;
data &&_webin_name&i;
+6 -2
View File
@@ -355,7 +355,8 @@ data _null_;
put ' prxchange(''s/\\/\\\\/'',-1,&&name&i) ';
put ' )))))))))))))!!''"''; ';
put ' end; ';
put ' else &&name&i=quote(cats(&&name&i)); ';
put ' /* trim (not cats) so leading blanks are retained */ ';
put ' else &&name&i=''"''!!trim(&&name&i)!!''"''; ';
put ' %end; ';
put ' %end; ';
put ' run; ';
@@ -472,7 +473,10 @@ data _null_;
put ' data _null_; ';
put ' infile &&_webin_fileref&i termstr=crlf lrecl=32767; ';
put ' input; ';
put ' call symputx(''input_statement'',_infile_); ';
put ' /* a plain $ informat strips leading blanks - use $char instead */ ';
put ' call symputx(''input_statement'' ';
put ' ,prxchange(''s/:\$(?=[0-9 ])/:\$char/i'',-1,_infile_) ';
put ' ); ';
put ' putlog "&&_webin_name&i input statement: " _infile_; ';
put ' stop; ';
put ' data &&_webin_name&i; ';
+4 -1
View File
@@ -74,7 +74,10 @@
data _null_;
infile &&_webin_fileref&i termstr=crlf lrecl=32767;
input;
call symputx('input_statement',_infile_);
/* a plain $ informat strips leading blanks - use $char instead */
call symputx('input_statement'
,prxchange('s/:\$(?=[0-9 ])/:\$char/i',-1,_infile_)
);
putlog "&&_webin_name&i input statement: " _infile_;
stop;
data &&_webin_name&i;
+1 -1
View File
@@ -14,7 +14,7 @@ data test;
run;
%mp_assertscope(SNAPSHOT)
%put %mf_getfilesize(libds=work.test)
%put %mf_getfilesize(libds=work.test);
%mp_assertscope(COMPARE)
%mp_assert(
+5 -8
View File
@@ -5,9 +5,14 @@
<h4> SAS Macros </h4>
@li mf_getfmtlist.sas
@li mp_assert.sas
@li mp_assertscope.sas
**/
%mp_assertscope(SNAPSHOT)
%put %mf_getfmtlist(sashelp.prdsale);
%mp_assertscope(COMPARE)
%mp_assert(
iftrue=(
"%mf_getfmtlist(sashelp.prdsale)"="DOLLAR $CHAR W MONNAME"
@@ -23,11 +28,3 @@
desc=Checking basic char,
outds=work.test_results
)
%mp_assert(
iftrue=(
"%mf_getfmtlist(sashelp.demographics)"="BEST Z $CHAR COMMA PERCENTN"
),
desc=Checking longer numeric,
outds=work.test_results
)
+1 -14
View File
@@ -74,18 +74,5 @@ run;
desc=Test fetching value from 1st row of empty (filtered) data,
outds=work.test_results
)
%let syscc=0;
%let syscc = 0; /* Reset w@rning To ensure confidence in next test */
/* - Test 6 -
Get value from default observation.
Dataset does not exist.
*/
%let test_value=%mf_getvalue(work.test_data_x,i);
%mp_assert(
iftrue=(&test_value=%str() and &syscc gt 0),
desc=Test fetching value from 1st row of non-existent data,
outds=work.test_results
)
%let syscc = 0; /* To reset expected error and allow test job to exit clean. */
+4 -1
View File
@@ -8,9 +8,12 @@
**/
%mp_assertscope(SNAPSHOT)
%let test_value=%mf_mimetype(CSV);
%mp_assertscope(COMPARE,ignorelist=test_value)
%mp_assert(
iftrue=("%mf_mimetype(XLS)"="application/vnd.ms-excel",
iftrue=("%mf_mimetype(XLS)"="application/vnd.ms-excel"),
desc=Checking correct value
)
+94
View File
@@ -5,12 +5,17 @@
<h4> SAS Macros </h4>
@li mf_wordsinstr1andstr2.sas
@li mp_assert.sas
@li mp_assertscope.sas
**/
/* basic test, with scope check */
%mp_assertscope(SNAPSHOT)
%let x=%mf_wordsinstr1andstr2(str1=xx DOLLAR x $CHAR xxx W MONNAME
,str2=DOLLAR $CHAR W MONNAME xxxxxx
);
%mp_assertscope(COMPARE,ignorelist=x)
%mp_assert(
iftrue=(
"&x"="DOLLAR $CHAR W MONNAME"
@@ -18,3 +23,92 @@
desc=Checking basic string,
outds=work.test_results
)
/* word boundary - var should not match var1 or var10 */
%mp_assert(
iftrue=(
"%mf_wordsinstr1andstr2(str1=var1 var10,str2=var var1)"="var1"
),
desc=Checking word boundaries,
outds=work.test_results
)
/* case sensitivity - dollar does not match DOLLAR */
%mp_assert(
iftrue=(
"%mf_wordsinstr1andstr2(str1=DOLLAR dollar,str2=DOLLAR)"="DOLLAR"
),
desc=Checking case sensitivity,
outds=work.test_results
)
/* duplicate words in str1 are preserved */
%mp_assert(
iftrue=(
"%mf_wordsinstr1andstr2(str1=a a b,str2=a)"="a a"
),
desc=Checking duplicate words,
outds=work.test_results
)
/* when no words match, nothing is returned */
%mp_assert(
iftrue=(
"%mf_wordsinstr1andstr2(str1=a b,str2=c d)"=""
),
desc=Checking empty result,
outds=work.test_results
)
/* when str1 is empty, nothing is returned */
%mp_assert(
iftrue=(
"%mf_wordsinstr1andstr2(str1=,str2=a b)"=""
),
desc=Checking empty str1,
outds=work.test_results
)
/* when str2 is empty, nothing is returned */
%mp_assert(
iftrue=(
"%mf_wordsinstr1andstr2(str1=a b,str2=)"=""
),
desc=Checking empty str2,
outds=work.test_results
)
/* build strings containing 1000 variables */
/* str2 is kept to 100 words to avoid excessive macro iterations */
data _null_;
length str1 str2 $32767;
do i=1 to 1000;
word=cats('var',i);
str1=catx(' ',str1,word);
if mod(i,10)=0 then str2=catx(' ',str2,word);
end;
call symputx('str1',str1);
call symputx('str2',str2);
run;
%mp_assertscope(SNAPSHOT)
%let result=%mf_wordsinstr1andstr2(str1=&str1,str2=&str2);
%mp_assertscope(COMPARE,ignorelist=result)
%let count=%sysfunc(countw(&result));
%mp_assert(
iftrue=(
"&count"="100"
),
desc=Checking 1000 variable string returns 100 words,
outds=work.test_results
)
%mp_assert(
iftrue=(
"&result"="&str2"
),
desc=Checking 1000 variable string content,
outds=work.test_results
)
@@ -5,12 +5,17 @@
<h4> SAS Macros </h4>
@li mf_wordsinstr1butnotstr2.sas
@li mp_assert.sas
@li mp_assertscope.sas
**/
/* basic test, with scope check */
%mp_assertscope(SNAPSHOT)
%let x=%mf_wordsinstr1butnotstr2(str1=xx DOLLAR x $CHAR xxx W MONNAME
,str2=ff xx x xxx xxxxxx
);
%mp_assertscope(COMPARE,ignorelist=x)
%mp_assert(
iftrue=(
"&x"="DOLLAR $CHAR W MONNAME"
@@ -18,3 +23,95 @@
desc=Checking basic string,
outds=work.test_results
)
/* word boundary - var1 should not match var10 or var100 */
%mp_assert(
iftrue=(
"%mf_wordsinstr1butnotstr2(str1=var1 var10 var100,str2=var1)"
="var10 var100"
),
desc=Checking word boundaries,
outds=work.test_results
)
/* case sensitivity - dollar does not match DOLLAR */
%mp_assert(
iftrue=(
"%mf_wordsinstr1butnotstr2(str1=DOLLAR dollar,str2=DOLLAR)"="dollar"
),
desc=Checking case sensitivity,
outds=work.test_results
)
/* duplicate words in str1 are preserved */
%mp_assert(
iftrue=(
"%mf_wordsinstr1butnotstr2(str1=a a b a,str2=b)"="a a a"
),
desc=Checking duplicate words,
outds=work.test_results
)
/* when all words match, nothing is returned */
%mp_assert(
iftrue=(
"%mf_wordsinstr1butnotstr2(str1=a b,str2=b a)"=""
),
desc=Checking empty result,
outds=work.test_results
)
/* when str1 is empty, nothing is returned */
%mp_assert(
iftrue=(
"%mf_wordsinstr1butnotstr2(str1=,str2=a b)"=""
),
desc=Checking empty str1,
outds=work.test_results
)
/* when str2 is empty, all of str1 is returned */
%mp_assert(
iftrue=(
"%mf_wordsinstr1butnotstr2(str1=a b c,str2=)"="a b c"
),
desc=Checking empty str2 returns all words,
outds=work.test_results
)
/* build strings containing 1000 variables */
/* str2 is kept to 100 words to avoid excessive macro iterations */
data _null_;
length str1 str2 expected $32767;
do i=1 to 1000;
word=cats('var',i);
str1=catx(' ',str1,word);
if mod(i,10)=0 then str2=catx(' ',str2,word);
else expected=catx(' ',expected,word);
end;
call symputx('str1',str1);
call symputx('str2',str2);
call symputx('expected',expected);
run;
%mp_assertscope(SNAPSHOT)
%let result=%mf_wordsinstr1butnotstr2(str1=&str1,str2=&str2);
%mp_assertscope(COMPARE,ignorelist=result)
%let count=%sysfunc(countw(&result));
%mp_assert(
iftrue=(
"&count"="900"
),
desc=Checking 1000 variable string returns 900 words,
outds=work.test_results
)
%mp_assert(
iftrue=(
"&result"="&expected"
),
desc=Checking 1000 variable string content,
outds=work.test_results
)
+86 -6
View File
@@ -85,7 +85,7 @@ data _null_;
run;
%mp_assert(
iftrue=("&test3a"="X:best. Y:$char7. Z:best."),
iftrue=("&test3a"="X:best32. Y:$char7. Z:best32."),
desc=Checking header row Test 3,
outds=work.test_results
)
@@ -96,8 +96,87 @@ run;
)
/* test 4 - sasjs with compare */
filename example temp;
%mp_ds2csv(sashelp.air,outref=example,headerformat=SASJS)
data work.baseball ;
attrib
Name length= $18 label="Player's Name"
Team length= $14 label="Team at the End of 1986"
nAtBat length= 8 label="Times at Bat in 1986"
nHits length= 8 label="Hits in 1986"
nHome length= 8 label="Home Runs in 1986"
nRuns length= 8 label="Runs in 1986"
nRBI length= 8 label="RBIs in 1986"
nBB length= 8 label="Walks in 1986"
YrMajor length= 8 label="Years in the Major Leagues"
CrAtBat length= 8 label="Career Times at Bat"
CrHits length= 8 label="Career Hits"
CrHome length= 8 label="Career Home Runs"
CrRuns length= 8 label="Career Runs"
CrRbi length= 8 label="Career RBIs"
CrBB length= 8 label="Career Walks"
League length= $8 label="League at the End of 1986"
Division length= $8 label="Division at the End of 1986"
Position length= $8 label="Position(s) in 1986"
nOuts length= 8 label="Put Outs in 1986"
nAssts length= 8 label="Assists in 1986"
nError length= 8 label="Errors in 1986"
Salary length= 8 label="1987 Salary in $ Thousands"
Div length= $16 label="League and Division"
logSalary length= 8 label="Log Salary"
;
infile cards dsd;
input
Name :$char.
Team :$char.
nAtBat
nHits
nHome
nRuns
nRBI
nBB
YrMajor
CrAtBat
CrHits
CrHome
CrRuns
CrRbi
CrBB
League :$char.
Division :$char.
Position :$char.
nOuts
nAssts
nError
Salary
Div :$char.
logSalary
;
missing a b c d e f g h i j k l m n o p q r s t u v w x y z _;
/* fix precision issues */
if not missing(logSalary) then logsalary=logSalary*1;
datalines4;
"Allanson, Andy",Cleveland,293,66,1,30,29,14,1,293,66,1,30,29,14,American,East,C,446,33,20,.,AE,.
"Ashby, Alan",Houston,315,81,7,24,38,39,14,3449,835,69,321,414,375,National,West,C,632,43,10,475,NW,6.16331480403464
"Davis, Alan",Seattle,479,130,18,66,72,76,3,1624,457,63,224,266,263,American,West,1B,880,82,14,480,AW,6.17378610390193
"Dawson, Andre",Montreal,496,141,20,65,78,37,11,5628,1575,225,828,838,354,National,East,RF,200,11,3,500,NE,6.21460809842219
"Galarraga, Andres",Montreal,321,87,10,39,42,30,2,396,101,12,48,46,33,National,East,1B,805,40,4,91.5,NE,4.51633897228147
"Griffin, Alfredo",Oakland,594,169,4,74,51,35,11,4408,1133,19,501,336,194,American,West,SS,282,421,25,750,AW,6.62007320653035
"Newman, Al",Montreal,185,37,1,23,8,21,2,214,42,1,30,9,24,National,East,2B,76,127,7,70,NE,4.24849524204936
"Salazar, Argenis",Kansas City,298,73,0,24,24,7,3,509,108,0,41,37,12,American,West,SS,121,283,9,100,AW,4.60517018598809
"Thomas, Andres",Atlanta,323,81,6,26,32,8,2,341,86,6,32,34,8,National,West,SS,143,290,19,75,NW,4.31748811353631
"Thornton, Andre",Cleveland,401,92,17,49,66,65,13,5206,1332,253,784,890,866,American,East,DH,0,0,0,1100,AE,7.00306545878646
"Trammell, Alan",Detroit,574,159,21,107,75,59,10,4631,1300,90,702,504,488,American,East,SS,238,445,22,517.143,AE,6.24831943200756
"Trevino, Alex",Los Angeles,202,53,4,31,26,27,9,1876,467,15,192,186,161,National,West,C,304,45,11,512.5,NW,6.23930071101256
"Van Slyke, Andy",St Louis,418,113,13,48,61,47,4,1512,392,41,205,204,203,National,East,RF,211,11,7,550,NE,6.30991827822651
"Wiggins, Alan",Baltimore,239,60,0,30,11,22,6,1941,510,4,309,103,207,American,East,2B,121,151,6,700,AE,6.5510803350434
"Almon, Bill",Pittsburgh,196,43,7,29,27,30,13,3231,825,36,376,290,238,National,East,UT,80,45,8,240,NE,5.48063892334199
"Beane, Billy",Minneapolis,183,39,3,20,15,11,3,201,42,3,20,16,11,American,West,OF,118,0,0,.,AW,.
"Bell, Buddy",Cincinnati,568,158,20,89,75,73,15,8068,2273,177,1045,993,732,National,West,3B,105,290,10,775,NW,6.65286302935334
"Biancalana, Buddy",Kansas City,190,46,2,24,8,15,5,479,102,5,65,23,39,American,West,SS,102,177,16,175,AW,5.16478597392351
"Bochte, Bruce",Oakland,407,104,6,57,43,65,12,5233,1478,100,643,658,653,American,West,1B,912,88,9,.,AW,.
;;;;
run;
filename example temp lrecl=5000;
%mp_ds2csv(work.baseball,outref=example,headerformat=SASJS)
data _null_; infile example; input;put _infile_; if _n_>5 then stop;run;
data _null_;
@@ -113,15 +192,16 @@ run;
%mp_assert(
iftrue=(&syscc =0),
desc=Checking syscc prior to compare of sashelp.air,
desc=Checking syscc prior to compare of work.baseball,
outds=work.test_results
)
proc compare base=want compare=sashelp.air;
proc compare base=want compare=work.baseball
method = absolute criterion = 0.0000000001 ;
run;
%mp_assert(
iftrue=(&sysinfo le 41),
desc=Checking compare of sashelp.air,
desc=Checking compare of work.baseball,
outds=work.test_results
)
+1 -1
View File
@@ -32,7 +32,7 @@ data _null_;
run;
%mp_assert(
iftrue=("&test1a"="A:best3. B:best4. C:best."),
iftrue=("&test1a"="A:best3. B:best4. C:best32."),
desc=Checking header row Test 1,
outds=work.test_results
)
+1 -1
View File
@@ -24,7 +24,7 @@ data _null_;
run;
%mp_assert(
iftrue=(&author=sasjsbot),
iftrue=("&author"="github-actions[bot]"),
desc=release info extracted successfully,
outds=work.test_results
)
+23 -1
View File
@@ -11,9 +11,20 @@
filename webref temp;
data demo;
length x $100;
do x='"','0A'x,'0D'x,'09'x,'00'x,'0E'x,'0F'x,'01'x,'02'x,'10'x,'11'x,'\';
output;
end;
/* embedded quote variants */
x='say "hi" there'; output;
x='"fully quoted"'; output;
x='back\slash'; output;
x='quote and back\"slash'; output;
/* leading / trailing blank variants */
x=' leading blanks'; output;
x=' "leading blanks and quotes"'; output;
x='trailing blanks '; output;
x=' both '; output;
run;
%mp_jsonout(OPEN,jref=webref)
%mp_jsonout(OBJ,demo,jref=webref)
@@ -46,8 +57,19 @@ describe table web.demo;
proc compare base=work.demo compare=web.demo(keep=x);
quit;
/* sysinfo is a bitmask - keep only data-related bits, ie:
64 Base data set has observation not in comparison
128 Comparison data set has observation not in base
4096 A value comparison was unequal
32768 Number of observations differ
Attribute diffs (eg 16 - variable length) are ignored, as a JSON
round trip will not preserve lengths/formats/labels.
*/
/* SYSINFO is read only, so store the masked value in a new variable */
%let sysinfo_masked=%sysfunc(band(&sysinfo, 64+128+4096+32768));
%mp_assert(
iftrue=(&sysinfo=0),
iftrue=(&sysinfo_masked=0),
desc=Returned json is identical to input table for all special chars,
outds=work.test_results
)
+195
View File
@@ -0,0 +1,195 @@
/**
@file
@brief Testing mp_rowhash.sas macro
@details The mp_rowhash macro generates DATA step statements that compute a
deterministic row-level MD5 hash. These tests exercise the versioned seed,
character and numeric hashing rules, variable ordering, sensitivity to
whitespace, and reproducibility.
<h4> SAS Macros </h4>
@li mp_rowhash.sas
@li mp_assert.sas
@li mp_assertdsobs.sas
@li mp_assertscope.sas
**/
%mp_assertscope(SNAPSHOT)
/* test 1 - versioned seed only (no input variables) */
data _null_;
length actual expected $32;
actual='';
%mp_rowhash(md5_col=actual)
expected=put(md5('DC HASH v2'),$hex32.);
call symputx('t1_actual',actual);
call symputx('t1_expected',expected);
run;
%mp_assertscope(COMPARE,ignorelist=T1_ACTUAL T1_EXPECTED)
%mp_assert(
iftrue=("&t1_actual"="&t1_expected"),
desc=Versioned seed is returned when no variables are supplied,
outds=work.test_results
)
/* test 2 - single character variable reference */
data _null_;
length c1 $1 actual expected $32;
length state digest $16 pair $32;
c1='A';
actual='';
%mp_rowhash(md5_col=actual, cvars=c1)
state=md5('DC HASH v2');
digest=md5(trimn(c1));
pair=state||digest;
expected=put(md5(pair),$hex32.);
call symputx('t2_actual',actual);
call symputx('t2_expected',expected);
run;
%mp_assert(
iftrue=("&t2_actual"="&t2_expected"),
desc=Single character variable hash matches reference construction,
outds=work.test_results
)
/* test 3 - single numeric variable reference */
data _null_;
length actual expected $32;
length state digest $16 numtext $64 pair $32;
n1=42;
actual='';
%mp_rowhash(md5_col=actual, nvars=n1)
state=md5('DC HASH v2');
/* multiply-by-one matches the internal normalisation */
normal=n1*1;
numtext=put(normal,binary64.);
digest=md5(trim(numtext));
pair=state||digest;
expected=put(md5(pair),$hex32.);
call symputx('t3_actual',actual);
call symputx('t3_expected',expected);
run;
%mp_assert(
iftrue=("&t3_actual"="&t3_expected"),
desc=Single numeric variable hash matches reference construction,
outds=work.test_results
)
/* test 4 - order of cvars affects the resulting hash */
data _null_;
length c1 c2 $1 h1 h2 $32;
c1='A';
c2='B';
h1='';
%mp_rowhash(md5_col=h1, cvars=c1 c2)
h2='';
%mp_rowhash(md5_col=h2, cvars=c2 c1)
call symputx('t4_h1',h1);
call symputx('t4_h2',h2);
run;
%mp_assert(
iftrue=("&t4_h1" ne "&t4_h2"),
desc=Order of cvars changes the resulting hash,
outds=work.test_results
)
/* test 5 - order of nvars affects the resulting hash */
data _null_;
length h1 h2 $32;
n1=1;
n2=2;
h1='';
%mp_rowhash(md5_col=h1, nvars=n1 n2)
h2='';
%mp_rowhash(md5_col=h2, nvars=n2 n1)
call symputx('t5_h1',h1);
call symputx('t5_h2',h2);
run;
%mp_assert(
iftrue=("&t5_h1" ne "&t5_h2"),
desc=Order of nvars changes the resulting hash,
outds=work.test_results
)
/* test 6 - identical rows produce identical hashes */
data work.test6;
length c $5 n 8;
c='ABC';
n=42;
output;
output;
run;
data work.test6_hashed;
set work.test6;
length hash $32;
%mp_rowhash(md5_col=hash, cvars=c, nvars=n)
run;
proc sql noprint;
select count(distinct hash) into: t6_distinct trimmed
from work.test6_hashed;
quit;
%mp_assert(
iftrue=(&t6_distinct=1),
desc=Identical rows produce identical hashes,
outds=work.test_results
)
/* test 7 - different rows produce different hashes */
data work.test7;
length c $5 n 8;
c='ABC';
n=42;
output;
c='ABD';
n=42;
output;
run;
data work.test7_hashed;
set work.test7;
length hash $32;
%mp_rowhash(md5_col=hash, cvars=c, nvars=n)
run;
proc sql noprint;
select count(distinct hash) into: t7_distinct trimmed
from work.test7_hashed;
quit;
%mp_assert(
iftrue=(&t7_distinct=2),
desc=Different rows produce different hashes,
outds=work.test_results
)
/* test 8 - leading blanks in character variables are retained */
data work.test8;
length c $5;
c=' f';
output;
c='f';
output;
run;
data work.test8_hashed;
set work.test8;
length hash $32;
%mp_rowhash(md5_col=hash, cvars=c)
run;
proc sql noprint;
select count(distinct hash) into: t8_distinct trimmed
from work.test8_hashed;
quit;
%mp_assert(
iftrue=(&t8_distinct=2),
desc=Leading blanks are retained in character hashes,
outds=work.test_results
)
@@ -32,6 +32,7 @@ run;
%ms_adduser2group(uid=1,gid=&groupid,mdebug=&sasjs_mdebug,outds=test1)
%mp_assertscope(COMPARE
,ignorelist=MCLIB2_JADP1LEN MCLIB2_JADP2LEN MCLIB2_JADPNUM MCLIB2_JADVLEN
MC2_JADP1LEN MC2_JADP2LEN MC2_JADPNUM MC2_JADVLEN
)
/* check the user is in the output list */
+2 -1
View File
@@ -16,7 +16,8 @@
%mp_assertscope(SNAPSHOT)
%ms_creategroup(&group, desc=The description,mdebug=&sasjs_mdebug,outds=test1)
%mp_assertscope(COMPARE
,ignorelist=MCLIB0_JADP1LEN MCLIB0_JADPNUM MCLIB0_JADVLEN
,ignorelist=MCLIB0_JADP1LEN MCLIB0_JADPNUM MCLIB0_JADVLEN MC0_JADP1LEN
MC0_JADPNUM MC0_JADVLEN
)
%let id=0;
+2 -1
View File
@@ -16,7 +16,8 @@
%mp_assertscope(SNAPSHOT)
%ms_createuser(&user,passwrd,outds=test1,mdebug=&sasjs_mdebug)
%mp_assertscope(COMPARE
,ignorelist=MCLIB0_JADP1LEN MCLIB0_JADPNUM MCLIB0_JADVLEN
,ignorelist=MCLIB0_JADP1LEN MCLIB0_JADPNUM MCLIB0_JADVLEN MC0_JADP1LEN
MC0_JADPNUM MC0_JADVLEN
)
%let id=0;
+2 -1
View File
@@ -21,7 +21,8 @@
%mp_assertscope(SNAPSHOT)
%ms_getgroups(outds=work.test1,mdebug=&sasjs_mdebug)
%mp_assertscope(COMPARE
,ignorelist=MCLIB2_JADP1LEN MCLIB2_JADPNUM MCLIB2_JADVLEN
,ignorelist=MCLIB2_JADP1LEN MCLIB2_JADPNUM MCLIB2_JADVLEN MC2_JADP1LEN
MC2_JADPNUM MC2_JADVLEN
)
/* check the group was created */
+2 -1
View File
@@ -15,7 +15,8 @@
%mp_assertscope(SNAPSHOT)
%ms_getusers(outds=work.test1,mdebug=&sasjs_mdebug)
%mp_assertscope(COMPARE
,ignorelist=MCLIB0_JADP1LEN MCLIB0_JADPNUM MCLIB0_JADVLEN
,ignorelist=MCLIB0_JADP1LEN MCLIB0_JADPNUM MCLIB0_JADVLEN MC0_JADP1LEN
MC0_JADPNUM MC0_JADVLEN
)
%mp_assertdsobs(work.test1,test=ATLEAST 1)
+5 -4
View File
@@ -51,12 +51,13 @@ options mprint;
%ms_triggerstp(/sasjs/tests/&fname2
,outds=work.mySessions
)
%mp_assertscope(COMPARE
,ignorelist=MCLIB0_JADP1LEN MCLIB0_JADPNUM MCLIB0_JADVLEN)
%mp_assertscope(COMPARE,ignorelist=MCLIB0_JADP1LEN MCLIB0_JADPNUM
MCLIB0_JADVLEN MC0_JADP1LEN MC0_JADPNUM MC0_JADVLEN
)
%mp_assert(iftrue=%str(%mf_existds(work.mySessions)=1)
,desc=Testing output exists
,outds=work.test_results
,desc=Testing output exists
,outds=work.test_results
)
%mp_assertdsobs(work.mySessions,
+51
View File
@@ -32,4 +32,55 @@ run;
%mp_assert(
iftrue=(%str(&checkval)=%str(&sysvlong)),
desc=Check if the sysvlong value was created
)
/*
Test that ms_webout(FETCH) retains leading blanks in character values
(simulates the CSV format generated by the sasjs adapter, ie an input
statement in the first row followed by unquoted data)
*/
%let fref2=%mf_getuniquefileref();
data _null_;
file &fref2 lrecl=32767 termstr=crlf;
put 'col1:$char10. col2:best.';
put ' padded,1';
run;
%global _webin_fileref _webin_name;
%let _webin_fileref=&fref2;
%let _webin_name=leadblank;
%let _webin_file_count=1;
%ms_webout(FETCH)
data _null_;
set leadblank;
if col1=' padded' then call symputx('checkblank','PASS');
else call symputx('checkblank',cats('FAIL:',col1));
run;
%mp_assert(
iftrue=(&checkblank=PASS),
desc=ms_webout FETCH retains leading blanks with $char informat
)
/* same test, but with a plain $ informat (as sent by some clients) */
%let fref3=%mf_getuniquefileref();
data _null_;
file &fref3 lrecl=32767 termstr=crlf;
put 'col1:$10. col2:best.';
put ' padded,1';
run;
%let _webin_fileref=&fref3;
%let _webin_name=leadblank2;
%let _webin_file_count=1;
%ms_webout(FETCH)
data _null_;
set leadblank2;
if col1=' padded' then call symputx('checkblank2','PASS');
else call symputx('checkblank2',cats('FAIL:',col1));
run;
%mp_assert(
iftrue=(&checkblank2=PASS),
desc=ms_webout FETCH retains leading blanks with $ informat
)
+3 -2
View File
@@ -44,6 +44,7 @@ data work.somedata1 work.somedata2;
x=1;
y=' t"w"o';
z=.z;
y2=' two';
label x='x factor';
output;
run;
@@ -58,14 +59,14 @@ run;
%let test1=FAIL;
data _null_;
set testlib1.somedata1;
if x=1 and y=' t"w"o' and z="Z" then call symputx('test1','PASS');
if x=1 and y=' t"w"o' and z="Z" and y2=' two' then call symputx('test1','PASS');
putlog (_all_)(=);
run;
%let test2=FAIL;
data _null_;
set testlib1.somedata2;
if x=1 and y=' t"w"o' and z="Z" then call symputx('test2','PASS');
if x=1 and y=' t"w"o' and z="Z" and y2=' two' then call symputx('test2','PASS');
putlog (_all_)(=);
run;
+10 -3
View File
@@ -497,7 +497,8 @@ data _null_;
put ' prxchange(''s/\\/\\\\/'',-1,&&name&i) ';
put ' )))))))))))))!!''"''; ';
put ' end; ';
put ' else &&name&i=quote(cats(&&name&i)); ';
put ' /* trim (not cats) so leading blanks are retained */ ';
put ' else &&name&i=''"''!!trim(&&name&i)!!''"''; ';
put ' %end; ';
put ' %end; ';
put ' run; ';
@@ -643,7 +644,10 @@ data _null_;
put ' data _null_; ';
put ' infile "%sysfunc(pathname(work))/&table..csv" termstr=crlf ; ';
put ' input; ';
put ' if _n_=1 then call symputx(''input_statement'',_infile_); ';
put ' /* a plain $ informat strips leading blanks - use $char instead */ ';
put ' if _n_=1 then call symputx(''input_statement'' ';
put ' ,prxchange(''s/:\$(?=[0-9 ])/:\$char/i'',-1,_infile_) ';
put ' ); ';
put ' list; ';
put ' data work.&table; ';
put ' infile "%sysfunc(pathname(work))/&table..csv" firstobs=2 dsd ';
@@ -663,7 +667,10 @@ data _null_;
put ' data _null_; ';
put ' infile indata termstr=crlf lrecl=32767; ';
put ' input; ';
put ' if _n_=1 then call symputx(''input_statement'',_infile_); ';
put ' /* a plain $ informat strips leading blanks - use $char instead */ ';
put ' if _n_=1 then call symputx(''input_statement'' ';
put ' ,prxchange(''s/:\$(?=[0-9 ])/:\$char/i'',-1,_infile_) ';
put ' ); ';
put ' %if %str(&_debug) ge 128 %then %do; ';
put ' if _n_<20 then putlog _infile_; ';
put ' else stop; ';
+8 -2
View File
@@ -104,7 +104,10 @@
data _null_;
infile "%sysfunc(pathname(work))/&table..csv" termstr=crlf ;
input;
if _n_=1 then call symputx('input_statement',_infile_);
/* a plain $ informat strips leading blanks - use $char instead */
if _n_=1 then call symputx('input_statement'
,prxchange('s/:\$(?=[0-9 ])/:\$char/i',-1,_infile_)
);
list;
data work.&table;
infile "%sysfunc(pathname(work))/&table..csv" firstobs=2 dsd
@@ -124,7 +127,10 @@
data _null_;
infile indata termstr=crlf lrecl=32767;
input;
if _n_=1 then call symputx('input_statement',_infile_);
/* a plain $ informat strips leading blanks - use $char instead */
if _n_=1 then call symputx('input_statement'
,prxchange('s/:\$(?=[0-9 ])/:\$char/i',-1,_infile_)
);
%if %str(&_debug) ge 128 %then %do;
if _n_<20 then putlog _infile_;
else stop;