The use of a result data structure with file I/O improves performance because it moves the data in one large block from file to data structure (or vice versa) rather than field by field. 


Additionally using a data structure can limit the problems caused by having bad data in a file. Without a data structure, the entire ``++READ++`` operation will fail at the first bad value. With one, the error comes only when the bad field is used.


== Noncompliant Code Example

----
     F MyFile   IF   E             Disk
       * Noncompliant
     C                   READ      Record1
----


== Compliant Solution

----
     F MyFile   IF   E             Disk

     D InputData       DS                  LikeRec(Record1)
     C                   READ      Record1       InputData
----


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== Comments And Links
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include::comments-and-links.adoc[]
endif::env-github,rspecator-view[]
