Sas setup parameters

If you set this parameter to No, you must upload a data set file from your local computer at the time of submitting the SAS Load Set job. Server OS Filename. Maximum Allowed Errors. The default value of this parameter is 0. The Load Set job completes with warnings and writes warning messages to the job log. Drop and Recreate Indexes.

If set to Yes default , and if the value of the parameter Direct is Yes, the system drops all non-unique indexes before running a data-loading job and recreates the non-unique indexes after loading data into the target Tables.

All forum topics Previous Next. Passing parameters to SQL query. Posted AM views. I have a SQL query which needs parameters in where clause. I need to pass parameters from sas data set. Re: Passing parameters to SQL query. When I need to select accounts from a large DB2 table, I pass the account numbers that I have in a sas dataset using a proc format.

I make sure I have one records per account, so I sort the data using the nodupkey option, then setup the sql like below. Chris's solution is great under the 64K limit, I would go for that.

This article show how to run a SAS program in batch mode and send parameters into the program by specifying the parameters when you run SAS from a command line interface. This technique has many uses, one of which is to split a long-running SAS computation into a series of less time-intensive computations.

There is a large class of problems that naturally divide into smaller pieces: programs in which the same computation is repeated many times for different values of parameters. A computation such as this is an example of an "embarrassingly parallel" computation.

You could write a single program that loops over a regular grid of a,b values, but here are some reasons that you might want to divide the computation into smaller pieces:. With apologies to Neil Sedaka , breaking up a program is easy to do. A simple DATA step is sufficient to illustrate the process. It lacks the motivation there is no actual need to break up the program , but it illustrates the main ideas in a simple way.

Start the break-up process by using macro variables to replace the upper and lower limits of the parameters, as follows:. The program computes the kurtosis of the Beta distribution for each a,b value on a regular grid 0. Notice that the DEST libref ensures that the results are stored in the current directory. You can also use this technique to write a simulation that accepts a seed value as a parameter to the RAND function. I can use the values of the macro variable to divide the computation into a series of smaller computations.

For example, I could divide the computation into the following four smaller computations:. You could change the parameter values manually, but SAS provides a feature that makes it simple to specify parameter values on the command line.