DFSORT and amazing new data processing tricks. In a perfect world, data columns would be neatly aligned and easy to sort, edit and display. Records 31 – 40 Smart DFSORT TricksJuly, DFSORT Web Site For papers, online books, news, tips, examples and more, visit the DFSORT website at URL. TABLE OF CONTENTS FEW USEFUL TRICKS USING DFSORT AND DFSORT and ICETOOL have lot of uses in Mainframe application. discussed here.

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Example of file lay out: Mainframe people seem to speak a completely different language and that doesn’t make life easy. What’s more, the books and manuals are incredibly hard to comprehend. Earlier overlays can be seen by later overlays. We’ll introduce you to the hardware and tric,s.

Readers based in Indiacan buy the e-book for Rs. If you do need help then please provide us with the following. DFSORT and amazing new data processing tricks In a tricka world, data columns would be neatly aligned and easy to sort, edit and display. Show us what you have tried so far.


For eg While splitting the file for a member, all record types should be present in a single file. Last but not least run the following job and show us the complete sysout which will help us determine the level of DFSORT you are running.

Back issue

How are groups of records identified? But here, in the real world, data can get unorderly and messy! We’ll talk about the operating system, the software installed on a mainframe.

To many people who are thrown to work at a dfsott computer on their first job, they feel lost. Select the orders that are 90 days and older: Splitting the records dynamicall with certain logic.

In a nutshell, we’ll de-mystify the mainframe. Let’s establish an input file BOOK. International readers based in the US and other countries can click here to purchase the e-book.

Try with that approach and lets us know if you are having trouble with that. We’ll also talk about the different people who work on a mainframe. Trciks help is highly appreciated!!

Overlay specific parts of records Parse delimited fields Justify data Test for numeric data Handle numeric values that have separators and decimal points Conversion to another format Reformat different records dfsorg different ways Add sequence numbers In this article, I will share some of my favourite DFSORT tricks.


If we declare 12 output files max and if the record count is low, how to handle unused output files? So in case of split, a member should not be present in two different files.

IBM MAINFRAME: DFSORT for placing duplicate records in a separate file.

Otherwise, you can set a maximum number of output datasets, and remove any “empty” ones after the step. The problem I have is that people can explain things quickly but I can only comprehend slowly. Select the orders on computer books: In this case there would be 11 output files 4 A member present in a file can have many record types, for eg A,B,C. Total order costs breakup by subject-area:

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