JCL

ICETOOL Utilities and Operations with Examples

ICETOOL Utilities uses DFSORT to perform multiple operations on one or more data sets in a single job step. ICETOOL Utilities operations include the following: 

  • Creating multiple copies of sorted, merged, edited, or unedited input data sets.
  • Creating output data sets containing subsets of input data sets based on various criteria for character and numeric field values, the number of times unique values occur, header records, trailer records or relative record numbers.
  • Sorting records between headers and trailers.
  • Creating output data sets containing different field arrangements of input data sets.
  • Resizing fixed length records by creating a larger record from multiple shorter records, or multiple shorter records from a larger record.
  • Creating list data sets showing character and numeric fields in a variety of simple, tailored, and sectioned report formats, allowing control of title, date, time, page numbers, carriage control characters, headings, lines per page, field formats, and total, maximum, minimum, average and count values for the columns of numeric data.
  • Printing messages that give statistical information for selected numeric fields such as minimum, maximum, average, total, count of values, and count of unique values.
  • Printing messages that identify invalid decimal values.
  • Printing messages that give record counts.
  • Setting RC=12, RC=8, RC=4, or RC=0 based on record counts.
  • Creating an output data set containing an output record with text and the record count.
  • Creating a list data set showing the DFSORT installation defaults in use.
  • Creating list data sets showing unique values for selected character and numeric fields and the number of times each occurs, in a variety of simple and tailored report formats.
  • Creating list and output data sets for records with: duplicate values, non-duplicate values, or values that occur n times, less than n times or more than n times.
  • Creating output data sets with information spliced together from two or more input records with duplicate values. The information in the input records can originate from different data sets, helping you to perform various file “join” and “match” operations.
  • Using three different modes (stop, continue, and scan) to control error checking and actions after error detection for groups of operators. You can use ICETOOL Utilities for SORT, MERGE and COPY operations.

ICETOOL Utilities JCL Summary

//JOBLIB DD Defines your program link library if it is not already known to the system.
//STEPLIB DDSame as //JOBLIB DD
//TOOLMSG DDDefines the ICETOOL message data set for all operations.
//DFSMSG DDDefines the DFSORT message data set for all operations.
//SYMNAMES DDDefines the SYMNAMES data set containing statements to be used for symbol processing.
//SYMNOUT DDDefines the data set in which SYMNAMES statements and the symbol table are to be listed.
//TOOLIN DDContains ICETOOL Utilities control statements
//indd DDDefines an input data set for a COPY, COUNT, DATASORT, DISPLAY, MERGE, OCCUR, RANGE, RESIZE, SELECT, SORT, SPLICE, STATS, SUBSET, UNIQUE, or VERIFY operation.
//outdd DD Defines an output data set for a COPY, DATASORT, MERGE, RESIZE, SELECT, SORT, SPLICE, or SUBSET operation.
//savedd DDDefines an output data set for a SELECT or SUBSET operation.
//listdd DD Defines a list data set for a DEFAULTS, DISPLAY, or OCCUR operation.
//countdd DDDefines an output data set for a COUNT operation
//xxxxCNTL DD Contains DFSORT control statements for a COPY, COUNT, DATASORT, MERGE, RESIZE, SELECT, SORT, SPLICE or SUBSET operation.

ICETOOL Utilities Operator Summary

COPYCopies a data set to one or more output data sets.
COUNTPrints a message containing the count of records in a data set. COUNT can also be used to create an output data set containing text and the count, or to set RC=12, RC=8, RC=4, or RC=0 based on meeting criteria for the number of records in a data set.
DATASORTSorts data records between header and trailer records in a data set to an output data set.
DEFAULTSPrints the DFSORT installation defaults in a separate list data set.
DISPLAYPrints the values or characters of specified numeric or character fields in a separate list data set. Simple, tailored, or sectioned reports can be produced. Maximums, minimums, totals, averages and counts can be produced.
MERGEMerges one or more data sets to one or more output data sets.
MODEThree modes are available that can be set or reset for groups of operators:  STOP mode (the default) stops subsequent operations if an error is detected.  CONTINUE mode continues with subsequent operations if an error is detected. SCAN mode allows ICETOOL Utilities statement checking without actually performing any operations.
OCCURPrints each unique value for specified numeric or character fields and how many times it occurs in a separate list data set. Simple or tailored reports can be produced. The values printed can be limited to those for which the value count meets specified criteria (for example, only duplicate values or only non-duplicate values).
RESIZECreates a larger record from multiple shorter records, or creates multiple shorter records from a larger record, that is, resizes fixed length records.
RANGEPrints a message containing the count of values in a specified range for a specified numeric field in a data set.
SELECTSelects records from a data set for inclusion in an output data set based on meeting criteria for the number of times specified numeric or character field values occur (for example, only duplicate values or only non-duplicate values). Records that are not selected can be saved in a separate output data set.
SORTSorts a data set to one or more output data sets.
SPLICESplices together specified fields from records that have the same specified numeric or character field values (that is, duplicate values), but different information. Specified fields from two or more records can be combined to create an output record. The fields to be spliced can originate from records in different data sets, so you can use SPLICE to do various “join” and “match” operations.
STATSPrints messages containing the minimum, maximum, average, and total for specified numeric fields in a data set.
SUBSETSelects records from a data set based on keeping or removing header records (the first n records), relative records, or trailer records (the last n records). Records that are not selected can be saved in a separate output data set.
UNIQUEPrints a message containing the count of unique values for a specified numeric or character field.
VERIFYExamines specified decimal fields in a data set and prints a message identifying each invalid value found for each field.

Restriction: You can perform a JOINKEYS application with the COPY and SORT operators, but not with the other operators.

ICETOOL Utilities and Operations Examples

ICETOOL Utilities – COPY Examples

Scenario-1

COPY FROM(MASTER) TO(PRINT,TAPE,DISK) 

One call to DFSORT, one pass over the input data set, and allows the output data sets to be specified in any order. The COPY operator copies all records from the MASTER data set to the PRINT (SYSOUT), TAPE, and DISK data sets, using OUTFIL processing.

COPY FROM(MASTER) TO(DISK,TAPE,PRINT) SERIAL

Three calls to DFSORT, three passes over the input data set, and imposes the restriction that the SYSOUT data set must not be the first TO data set. The COPY operator copies all records from the MASTER data set to the DISK data set and then copies the resulting DISK data set to the TAPE and PRINT (SYSOUT) data sets. Because the first TO data set is processed three times (written, read, read), placing the DISK data set first is more efficient than placing the TAPE data set first. PRINT must not be the first in the TO list because a SYSOUT data set cannot be read.

Scenario-2

COPY FROM(IN) TO(DEPT1) USING(DPT1) 
COPY FROM(IN) TO(DEPT2) USING(DPT2) 
COPY FROM(IN) TO(DEPT3) USING(DPT3)

Three calls to DFSORT and three passes over the input data set: v The first COPY operator copies the records from the IN data set that contain D01 in positions 5-7 to the DEPT1 data set. v The second COPY operator copies the records from the IN data set that contain D02 in positions 5-7 to the DEPT2 data set. v The third COPY operator copies the records from the IN data set that contain D03 in positions 5-7 to the DEPT3 data set.

COPY FROM(IN) USING(ALL3)

It uses OUTFIL statements instead of TO operands, so requires only one call to DFSORT and one pass over the input data set.

Scenario-3

COPY FROM(VSAMIN) TO(VSAMOUT) VSAMTYPE(V)

The COPY operator copies all records from the VSAMIN data set to the VSAMOUT data set. The VSAM records are treated as variable-length.

COPY Operator with JOINKEYS Example

Here is an example of using multiple COPY operators for JOINKEYS applications that preprocess different input files in different ways:

//COPYICE EXEC PGM=ICETOOL 
//TOOLMSG DD SYSOUT=* 
//DFSMSG  DD SYSOUT=* 
//IN1 DD DSN=MY.IN1,DISP=SHR 
//IN2 DD DSN=MY.IN2,DISP=SHR 
//IN3 DD DSN=MY.IN3,DISP=SHR 
//OUT1 DD SYSOUT=* 
//OUT2 DD SYSOUT=* 
//TOOLIN DD * 
First COPY operator with JOINKEYS application. 
 COPY JKFROM TO(OUT1) USING(CTL1) 
Second COPY operator with JOINKEYS application. 
 COPY JKFROM USING(CTL2) /*
//CTL1CNTL DD * 
* JOINKEYS application control statements for first 
COPY operator. 
 JOINKEYS F1=IN1,FIELDS=(5,12,A),TASKID=T1 
 JOINKEYS F2=IN2,FIELDS=(11,12,A),TASKID=T1 
 JOIN UNPAIRED 
 REFORMAT FIELDS=(F1:4,40,F2:15,20),FILL=C’$’ 
Main task control statements for first COPY operator 
(operates on joined records). 
 INCLUDE COND=(8,1,CH,EQ,C’Y’) 
/* 
//CTL2CNTL DD * 
JOINKEYS application control statements for second COPY operator. 
 JOINKEYS F1=IN1,FIELDS=(5,12,A),TASKID=T1 
 JOINKEYS F2=IN3,FIELDS=(9,12,A),TASKID=T2,
 SORTED REFORMAT FIELDS=(F1:4,40,F2:7,20) 
Main task control statements for second COPY operator 
(operates on joined records). 
 OUTFIL FNAMES=OUT2,HEADER1=(’Analysis Report’),REMOVECC 
/* 
//T1F1CNTL DD * 
Control statements for subtask1 (F1=IN1) of both COPY operators.
Subtask1 sorts/joins on 5,12,A automatically per JOINKEYS statement for TASKID=T1/F1=IN1. 
 INCLUDE COND=(21,3,CH,EQ,C’J82’) 
 SUM FIELDS=NONE 
/* 
//T1F2CNTL DD * 
Control statements for subtask2 (F2=IN2) of first COPY operator. 
Subtask1 sorts/joins on 11,12,A automatically per JOINKEYS statement for TASKID=T1/F2=IN2. 
 OPTION SKIPREC=1 
 INCLUDE COND=(25,3,CH,EQ,C’J82’) 
/* 
//T2F2CNTL DD * 
Control statements for subtask2 (F2=IN3) of second COPY operator. 
Subtask1 copies/joins on 9,12,A automatically per JOINKEYS statement for TASKID=T2/F2=IN3/SORTED. 
 INCLUDE COND=(5,3,CH,EQ,C’J82’) 
/*

ICETOOL Utilities – COUNT Examples

Scenario-1

COUNT FROM(IN1) 

It prints a message containing the count of records in the IN1 data set.

COUNT FROM(IN2) USING(CTL1)

It prints a message containing the count of records included from the IN2 data set.

Scenario-2

COUNT FROM(INPUT1) EMPTY

Sets RC=12 if INPUT1 is empty (that is, INPUT1 has no records), or sets RC=0 if INPUT1 is not empty (that is, INPUT1 has at least one record).

Scenario-3

COUNT FROM(INPUT2) HIGHER(50000) RC4 USING(CTL2)

Sets RC=4 if more than 50000 records are included from INPUT2, or sets RC=0 if 50000 or less records are included from INPUT2.

Scenario-4

COUNT FROM(IN2) WRITE(CT2) TEXT(’Count is ’) - EDCOUNT(A1,U10) WIDTH(80)

Prints a message containing the count of records in the IN2 data set. Writes an 80-byte record with the specified string and an edited count to the CT2 data set. If IN2 contains 3286721 records, the 80-byte output record in CT2 would look like this: 

Count is 3,286,721

Scenario-5

COUNT FROM(IN3) WRITE(CT3) DIGITS(6) SUB(2) 

Subtracts 2 from the count of records in the IN3 data set. Prints a message containing the modified count. Writes a 6-byte record with the modified count to the CT3 data set. If IN3 contains 8125 records, the 6-byte output record in CT3 would look like this: 008123

ICETOOL Utilities – DATASORT Examples

Scenario-1

DATASORT FROM(INPUT) TO(OUTPUT) HEADER TRAILER USING(CTL1)

(first record) and a trailer record (last record). The CTL1CNTL data set contains: 

SORT FIELDS=(16,13,CH,A)

Scenario-2

DATASORT FROM(IN) TO(OUT) HEADER(2) TRAILER(3) USING(CTL2) 

This example illustrates how you can sort the data records between header records (first records) and trailer records (last records), and modify just the data records or the header, data and trailer records. The CTL2CNTL data set contains: 

INREC IFTHEN=(WHEN=(24,2,CH,EQ,C’23’), 
     OVERLAY=(30:C’Old’)) 
SORT FIELDS=(1,14,CH,A) 
OUTFIL FNAMES=OUT, 
     IFTHEN=(WHEN=(24,2,CH,EQ,C’23’), 
     OVERLAY=(35:C’First’))

ICETOOL Utilities – MERGE Examples

Scenario-1

//TOOLIN DD * 
  MERGE FROM(IN01,IN02,IN03,IN04,IN05) TO(OUTPUT) USING(MERG) 
//MERGCNTL DD * 
  OPTION EQUALS 
  MERGE FIELDS=(21,4,CH,A) 
/*

This example merges 5 input files to an output file. EQUALS is used to ensure that records that collate identically are output in the order specified in the FROM operand. 

For example, if IN01, IN03 and IN05 all have records with a key or ‘AAAA’ in positions 21-24, the output will contain the ‘AAAA’ record from IN01, the ‘AAAA’ record from IN03 and the ‘AAAA’ record from IN05, in that order.

Scenario-2

//TOOLIN DD * 
  MERGE FROM(INPUT1,INPUT2,INPUT3,INPUT4) -    
  FROM(INPUT5,INPUT6,INPUT7) VSAMTYPE(F) USING(MRG1) 
//MRG1CNTL DD * 
  MERGE FIELDS=(52,8,UFF,D) 
  OUTFIL FNAMES=OUT1,INCLUDE=(15,3,SS,EQ,C’D21,D33’) 
  OUTFIL FNAMES=OUT2,SAVE 
/*

This example merges 7 input files to 2 output files. It uses two OUTFIL statements to create the two output files; each output file will have a different subset of the merged records. VSAMTYPE(F) tells DFSORT the record type is F (only needed for VSAM input files).

ICETOOL Utilities – RANGE Example

RANGE FROM(DATA1) ON(VLEN) HIGHER(10) 
RANGE FROM(DATA2) ON(31,18,ZD) LOWER(+123456789012345678) 
RANGE FROM(DATA3) ON(29001,4,FI) - 
      HIGHER(-10000) LOWER(27) 
RANGE FROM(DATA2) ON(45,3,PD) EQUAL(-999) 
RANGE FROM(DATA3) ON(40,1,BI) NOTEQUAL(199)

The first RANGE operator prints a message containing the count of binary values from positions 1-2 of the DATA1 data set that are higher than 10. 

The second RANGE operator prints a message containing the count of zoned decimal values from positions 31-48 of the DATA2 data set that are lower than 123456789012345678. 

The third RANGE operator prints a message containing the count of fixed-point values from positions 29 001-29 004 of the DATA3 data set that are higher than -10 000 but lower than 27. 

The fourth RANGE operator prints a message containing the count of packed decimal values from positions 45-47 of the DATA2 data set that are equal to -999. 

The fifth RANGE operator prints a message containing the count of binary values from position 40 of the DATA3 data set that are not equal to 199. This RANGE operator could be used to count the number of records that do not have ‘G’ in position 40, because 199 (X’C7′) is the EBCDIC code for ‘G’. Alternatively, the COUNT operator could be used with OMIT COND=(40,1,CH,EQ,C’G’).

ICETOOL Utilities – RESIZE Examples

Scenario-1

RESIZE FROM(IN1) TO(OUT1) TOLEN(40)

The IN1 data set has RECFM=FB and LRECL=10 with these 10-byte records: 

Bird 
Bluejay 
4 
Charlie 
Rodent 
Rat 
2 
Sara

The OUT1 data set has RECFM=FB and LRECL=40 with these 40 byte records:

Bird        Bluejay   4   Charlie 
Rodent      Rat       2    Sara

Scenario-2

RESIZE FROM(OLD) TO(NEW) TOLEN(15) USING(CTL1)

This example illustrates how you can create larger records from a subset of smaller sorted records. The CTL1CNTL data set contains: 

OMIT COND=(2,4,ZD,EQ,0) 
SORT FIELDS=(1,1,CH,A)

The OLD data set has RECFM=FB and LRECL=5 with these 5-byte records: 

C0005 
B0000 
A0008 
I1234 
F0053 
D0123 
H0001 
G0000 
E0022

The NEW data set will have RECFM=FB and LRECL=15 with these 15-byte records: 

A0008C0005D0123 
E0022F0053H0001 
I1234

Note that before the records were resized, the two records with 0 in positions 2-5 were omitted, and the remaining records were sorted as directed by the DFSORT control statements in CTL1CNTL. The last output record was padded with blanks on the right to 15 bytes.

Scenario-3

RESIZE FROM(IN3) TO(OUT3) TOLEN(3) USING(CTL2)

This example illustrates how you can break up large records into multiple smaller records. The CTL2CNTL data set contains: 

OUTFIL FNAMES=OUT3,OMIT=(1,3,CH,EQ,C’ ’),OVERLAY=(10:X)

The IN3 data set has RECFM=FB and LRECL=18 with these 18-byte records: 

000111222333444555 
666777888999

Every 3-byte field in each large IN3 record will be broken up into a single 3-byte field and then padded on the right with blanks to 10-bytes. TOLEN(3) indicates that the resized records will have a length of 3 bytes. OVERLAY=(10:X) expands each resized record to 10 bytes in OUT3. OMIT=(1,3,CH,EQ,C’ ‘) removes any resized records that are completely blank (that is, the two blank resized records resulting from the blanks in positions 13-18 of the second input record). 

The OUT3 data set will have RECFM=FB and LRECL=10 with these 10-byte records: 

000 
111 
222
333 
444 
555 
666 
777 
888 
999
SELECT FROM(INPUT) TO(DUPS) ON(11,8,CH) ON(30,44,CH) ALLDUPS

Sorts the INPUT data set to the DUPS data set, selecting only the records from INPUT with characters in positions 11-18 and characters in positions 30-73 that occur more than once (that is, only records with duplicate ON field values).

SELECT FROM(INPUT) TO(ONLYONE) ON(23,3,FS) NODUPS

Sorts the INPUT data set to the ONLYONE data set, selecting only the records from INPUT with floating sign values in positions 23-25 that occur just once (that is, only records with no duplicate ON field values).

SELECT FROM(FAILURES) TO(CHECKOUT) ON(28,8,CH) ON(1,5,CH) - 
HIGHER(3)

Sorts the FAILURES data set to the CHECKOUT data set, selecting only the records from FAILURES with characters in positions 28-35 and characters in positions 1-5 that occur more than three times (that is only recorded with four or more duplicate ON field values).

SELECT FROM(BOOKS) TO(PUBLISHR) ON(29,10,CH) FIRST

Sorts the BOOKS data set to the PUBLISHR data set, selecting only the records from BOOKS with characters in positions 29-38 that occur only once and the first record of those with characters in positions 29-38 that occur more than once (that is, one record for each unique ON field value).

SELECT FROM(BOOKS) TO(PUBLISHR) ON(29,10,CH) FIRST - 
DISCARD(SAVEREST)

This example creates the same PUBLISHR data set as Example 4. In addition, it creates a SAVEREST data set that contains all of the records not written to the PUBLISHR data set.

SELECT FROM(MASTPULL) TO(MATCH) ON(5,8,CH) FIRSTDUP

This example shows how you can use a list of account numbers in a “pull” data set to only select records with those account numbers from a “master” data set. The MASTPULL DD would have the “master” data set and “pull” data set concatenated together (in that order).

SELECT FROM(INPUT) TO(ONLYONE) ON(23,3,FS) NODUPS USING(CTL1)

This example shows how you can use USING(xxxx) to supply an OUTFIL statement to modify the TO data set. SELECT chooses the same output records as for “Example 2” on page 669, but an OUTFIL statement is used to further modify those records for output to the ONLYONE data set.

The CTL1CNTL data set contains: 

OUTFIL FNAMES=ONLYONE, 
REMOVECC, 
INCLUDE=(23,3,FS,LT,100), 
OUTREC=(1:1,7,8:C’|’,11:11,7,19:C’|’,23:23,3,FS,M11, 27:C’|’,30:30,15), 
TRAILER1=(/,’TOTAL= ’,TOT=(23,3,FS,M11,LENGTH=6))

and the ONLYONE data set might look as follows: 

DFSRT2 | EISSLER | 005 | DOC.EXAMPLES 
DFSRT1 | PACKER | 008 | ICETOOL.SMF.RUN 
USR002 | EISSLER | 012 | DOC.EXAMPLES 
SYS003 | YAEGER | 032 | ICETOOL.TEST.CA 

TOTAL= 000057

ICETOOL Utilities – SORT Examples

Scenario-1

SORT FROM(MASTER) TO(PRINT,TAPE,DISK) USING(ABCD)

One call to DFSORT, one pass over the input data set, and allows the output data sets to be specified in any order. The SORT operator sorts all records from the MASTER data set to the PRINT (SYSOUT), TAPE, and DISK data sets, using the SORT statement in the ABCDCNTL data set and OUTFIL processing.

SORT FROM(MASTER) TO(DISK,TAPE,PRINT) USING(ABCD) SERIAL

Three calls to DFSORT, three passes over the input dataset, and imposes the restriction that the SYSOUT data set must not be the first TO data set. The SORT operator sorts all records from the MASTER data set to the DISK data set, using the SORT statement in the ABCDCNTL data set, and then copies the resulting DISK data set to the TAPE and PRINT (SYSOUT) data sets. Because the first TO data set is processed three times (written, read, read), placing the DISK data set first is more efficient than placing the TAPE data set first. PRINT must not be the first in the TO list because a SYSOUT data set cannot be read.

Scenario-2

SORT FROM(IN) TO(DEPT1) USING(DPT1) 
SORT FROM(IN) TO(DEPT2) USING(DPT2) 
SORT FROM(IN) TO(DEPT3) USING(DPT3)

Requires three calls to DFSORT and three passes over the input data set

  • The first SORT operator sorts the records from the IN data set that contain D01 in positions 5-7 to the DEPT1 data set
  • The second COPY operator sorts the records from the IN data set that contain D02 in positions 5-7 to the DEPT2 data set
  • The third COPY operator sorts the records from the IN data set that contain D03 in positions 5-7 to the DEPT3 data set.
SORT FROM(IN) USING(ALL3)

It uses OUTFIL statements instead of TO operands, so requires only one call to DFSORT and one pass over the input data set.

This example shows two different methods for creating sorted subsets of an input data set. Assume that: v The DPT1CNTL data set contains:

SORT FIELDS=(51,2,BI,A,18,5,CH,A,58,4,BI,A) 
INCLUDE COND=(5,3,CH,EQ,C’D01’)

The DPT2CNTL data set contains: 

SORT FIELDS=(51,2,BI,A,18,5,CH,A,58,4,BI,A) 
INCLUDE COND=(5,3,CH,EQ,C’D02’)

The DPT3CNTL data set contains: 

SORT FIELDS=(51,2,BI,A,18,5,CH,A,58,4,BI,A) 
INCLUDE COND=(5,3,CH,EQ,C’D03’)

The ALL3CNTL data set contains: 

SORT FIELDS=(51,2,BI,A,18,5,CH,A,58,4,BI,A) 
OUTFIL FNAMES=DEPT1,INCLUDE=(5,3,CH,EQ,C’D01’) 
OUTFIL FNAMES=DEPT2,INCLUDE=(5,3,CH,EQ,C’D02’) 
OUTFIL FNAMES=DEPT3,INCLUDE=(5,3,CH,EQ,C’D03’)

SORT Operator with JOINKEYS Example

Here is an example of using one SORT operator for a simple JOINKEYS application. 

//SRTJK EXEC PGM=ICETOOL
//TOOLMSG DD SYSOUT=* 
//DFSMSG DD SYSOUT=* 
//JNA DD DSN=MY.INPUTA,DISP=SHR 
//JNB DD DSN=MY.INPUTB,DISP=SHR 
//OUT DD SYSOUT=* 
//TOOLIN DD * 
*  SORT operator with JOINKEYS application. 
   SORT JKFROM TO(OUT) USING(CTL1) 
/* 
//CTL1CNTL DD * 
* JOINKEYS application control statements for SORT operator. 
  JOINKEYS F1=JNA,FIELDS=(5,4,A)  
  JOINKEYS F2=JNB,FIELDS=(11,4,A),SORTED 
  REFORMAT FIELDS=(F1:1,20,F2:5,15) 
* Main task control statement for SORT operator (operates on joined records). 
  OPTION EQUALS SORT FIELDS=(1,3,ZD,A) 
/*

Conclusion

ICETOOL utilities are indispensable for Mainframe professionals, providing robust capabilities for data processing and manipulation. By mastering ICETOOL operations, mainframe developers can streamline complex data tasks, enhance efficiency, and unlock the full potential of their data processing workflows. The examples provided serve as a starting point for exploring the diverse functionalities of ICETOOL in Mainframe environments.

IFTHEN with SYNCSORT – Click Here    SYNSORT Manual: Click Here

Admin

Share
Published by
Admin
Tags: ICETOOL COPYICETOOL COUNTICETOOL MERGEICETOOL RANGEICETOOL RESIZEICETOOL SELECTICETOOL SORTICETOOL Utilities
4 years ago

Recent Posts

Increase Transparency and Collaboration Product Backlog

A well-maintained product backlog is crucial for successful product development. It serves as a single…

2 months ago

Product Backlog – Incremental value to the customer

Incremental value to the customer refers to the gradual delivery of small, functional parts of…

2 months ago

Product Market, Customer’s Desire, Need, and Challenges

A Product Market refers to the group of potential customers who might be interested in…

2 months ago

PAL-EBM Professional Agile Leadership – EBM Certification

The Professional Agile Leadership - Evidence-Based Management (PAL-EBM) certification offered by Scrum.org is designed for…

5 months ago

PAL I Professional Agile Leadership Certification

The Professional Agile Leadership (PAL I) certification, offered by Scrum.org, is designed to equip leaders…

5 months ago

Scrum Master Certification: CSM, PSM, SSM

Choosing the right Scrum Master Certification depends on your current experience and career goals. If…

7 months ago