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This document discusses methods for exporting large SAS data sets to MVS external files, focusing on utilizing SAS FILE and PUT statements efficiently without needing to write specific code for each
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How to fill out Exporting Large SAS® Data Sets to MVS External Files in a Production Setting

01
Open SAS and navigate to the data set you wish to export.
02
Ensure that the data set is properly formatted for MVS compatibility.
03
Use the EXPORT procedure to specify the output file format and destination.
04
Define the MVS dataset name syntax correctly.
05
Set any necessary options for performance tuning, such as buffer sizes.
06
Execute the export command and monitor for any error messages.
07
Verify that the data is correctly exported by checking the MVS external file.

Who needs Exporting Large SAS® Data Sets to MVS External Files in a Production Setting?

01
Data analysts looking to transfer large datasets for analysis on MVS systems.
02
Programmers responsible for data integration between SAS and mainframe environments.
03
Organizations migrating data for reporting or compliance purposes.
04
IT professionals managing data workflows in production environments.
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identifies the input SAS data set with either a one- or two-level SAS name (library and member name). If you specify a one-level name, PROC EXPORT assumes the WORK library. specifies the complete path and filename of the output PC file, spreadsheet, or delimited external file.
Exporting Data Files Right-click the file that you want to export and select Share. Export . Select the folder in which you want to save the file and enter the name of the exported file. To change the file type, select a new file type from the Files of type drop-down list. Click Save.
In most cases, the maximum file size for a SAS data set is 2 gigabytes (GB). However, if you run the SAS System under Windows NT and store your data on a volume formatted with the Windows NT file system (NTFS), you can create and store data sets larger than 2GB.
You know the row limit of xls and xlsx workbook is 65,536 and 1,048,576 respectively. While exporting the big data into excel, SAS generate an error message in the log file and the sheet cannot contain the rows above the limit, when it crosses the row limit.
Syntax of PROC EXPORT for Excel Files data=sas-dataset-name : SAS dataset you want to export. outfile : Specifies the desired location and name of the output Excel file. dbms=xlsx : Indicates that the destination file format is XLSX. replace : Replaces the Excel file if it already exists.
Exporting to a CSV File The DATA= option identifies the input SAS data set as MyCaslib. CreditQualify. The OUTFILE= option specifies the output file. The DBMS= option specifies that the output file is a CSV file. The REPLACE option overwrites the target CSV if it exists.
A large SAS dataset can be made smaller by using SAS statements like LENGTH or dataset compression tools like COMPRESS option to save on the storage space. Reducing the size of the dataset can also help in reducing the time SAS takes to read or access data from a dataset.
Step-by-Step Guide to Export a Database Using Terminal: Open Terminal on cPanel. Log in to your cPanel account. Navigate to the Desired Directory. Choose a directory where you want to store the exported database file. Export the Database Using MySQLDump. Verify the Exported File. Download the Exported Database.
Export SAS Programs On the Programs tab in the SAS panel, open the program that you want to export. Click. and select Export Program. Specify the name and location for the program file and click Save.
How to Export SAS Data to Excel (with Examples) data=sas-dataset-name : SAS dataset you want to export. outfile : Specifies the desired location and name of the output Excel file. dbms=xlsx : Indicates that the destination file format is XLSX. replace : Replaces the Excel file if it already exists.

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Exporting large SAS® data sets to MVS external files in a production setting refers to the process of transferring large datasets created or manipulated within the SAS® environment to external files on the MVS (Multiple Virtual Storage) operating system, which is commonly used in enterprise environments.
Typically, SAS® programmers, data analysts, and IT professionals responsible for data management and reporting within organizations using SAS® and MVS would be required to file for exporting large SAS® data sets.
To fill out the process for exporting, one should follow a series of steps involving specifying the output location, setting the necessary parameters for file format and compression, and utilizing appropriate SAS® procedures or commands within the production system.
The purpose is to facilitate data sharing, enable data archiving, and streamline data processing workflows by making large datasets accessible for other applications or for backup purposes within the production environment.
Information to be reported typically includes the dataset name, file format, the transfer method used, the date of export, and any relevant parameters or configurations employed during the export process.
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