Transitioning to SAS Viya requires a fundamental shift from the "everything is either Char or Numeric" mindset of SAS 9. Leveraging modern CAS data types is not just about precision; it is a critical strategy for reducing in-memory costs and improving processing speed.
Examples are not provided directly in the documentation. The documentation is descriptive, listing data types and their compatibility.
1 Code Block
DATA STEP Data
Explanation : This example illustrates the creation of a CAS table with INT32 data types for 'id', VARCHAR(50) for 'name', and DOUBLE for 'value'. It uses a DATA step to create the table with inline data, then loads it into CAS. The PROC CAS procedure is then used to display table information, including column data types, to verify that the specified types are correctly applied on the CAS server.
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/* Exemple hypothétique basé sur la documentation */
/* La documentation ne fournit pas d'exemples directs, il s'agit d'une illustration */
data casuser.my_data;
length id int32 name varchar(50) value double;
input id name $ value;
datalines;
1 John_Doe 123.45
2 Jane_Smith 67.89
;
run;
proc cas;
loadactionset "table";
table.tableinfo result=r / caslib="casuser" name="my_data";
print r;
quit;
1
/* Exemple hypothétique basé sur la documentation */
2
/* La documentation ne fournit pas d'exemples directs, il s'agit d'une illustration */
Always verify your component compatibility. If your workflow relies heavily on FedSQL or DS2, remember that they strictly use DOUBLE rather than the legacy NUMERIC type. Aligning your data types during the initial load avoids unnecessary automatic conversions and CPU overhead later in the pipeline.
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