This paper is a mini-user guide for DFSORT’s versatile ICETOOL data objective is to show you how to use DFSORT’s ICETOOL to accomplish complex tasks. You can change the DFSORT or ICETOOL control statements and job steps to create reports for your installation. Consider these things that you can do to the. Complete ICETOOL job and TOOLMSG output. Here is the complete ICETOOL job you created in this chapter: Figure 1. Complete ICETOOL Job (Part 1 of 2).
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As with the OCCUR operator, values that occur only once are called non-duplicate values, and values that occur more than once are called duplicate values.
You can use up icefool 10 ON fields; all of the ON field values are used for sorting and counting occurrences.
Using the ICETOOL utility
The selected records are written to the output data set identified by the TO operand. To create an output data set containing records for publishers with more than four different books in use, write the following SELECT statement: BKIN is the ddname for the sample bookstore data set.
Write a DD statement for the A BOOKS1 data sets and place it at the end of the job:. To create separate output data sets containing records with only the course name and author’s last name, both for courses that use more than one book, and for courses that use only one book, write the following SELECT statement: DUP is the ddname of the output data set to contain the records for courses with more than one book.
NODUP is the ddname of the output data set to contain the records for courses with only one book. You can select different combinations of records with duplicate and non-duplicate values using the following operands: Table 1 shows the Book Title and Publisher fields for the records in the resulting output data set.
The actual records contain all of the fields. Here is the complete JCL for the job, including control statements: Here are the DUP records exactly as they would appear: Suppose you want to icetiol the SORT.
The SORT statement orders the records ascending by state and descending by number of employees.
This brings the records for each state with the highest number of employees to the top. The intermediate result would be: The output records would look like this: So far in this chapter you have learned how to print statistics for numeric fields, create sorted and unsorted icettool sets, obtain a count of numeric fields in a range for a particular field, print fields from an input data set, print reports, print a count of field occurrences and select output records based on field occurrences.