You can use the INCLUDE OMIT Substring Comparison statement in conjunction with other options to select/omit the number of records to be processed, which can reduce processor and data transfer time. There are two types of INCLUDE OMIT Substring Comparison tests: Find a constant within a field value: For example, search the value in a […]
INCLUDE OMIT Substring Comparison using SORT Read More »
DYNALLOC PARM: This option requests the dynamic allocation of SORTWK data sets. DYNALLOC=OFF can be specified to override a DYNALLOC=ON installation default. If DYNALLOC has been specified on the SORT control statement as well as in the PARM field, the PARM specification will take precedence. ZDPRINT PARM: This option applies to the SUM, DUPKEYS SUM, and
PARM: How to use in SORT JCL with examples Read More »
PUSH defines the input field, sequence number, or identifier that will be overlaid for each group’s records. For fixed-length records, the first input and output data byte start at position 1. For variable-length records, the first input and output data byte start at position 5, after the RDW in positions 1-4. PUSH=(c:item,…) You can use
PUSH unique ID and SEQ number using IFTHEN Read More »
PARSE and IFTHEN PARSE are new options that allow you to extract variable position/length fields into fixed-length parsed fields defined as %nn fields. It gives you powerful new capabilities for handling variable fields such as delimited fields, comma-separated values (CSV), tab-separated values, blank-separated values, keyword-separated fields, null-terminated strings, and many other types. The PARSE parameter
PARSE fields using IFTHEN parameter Read More »
SEQNUM creates & inserts sequence numbers in the output record. The sequence numbers are assigned in the order in which the records are received for INREC processing. The length of the field can be from 1 to 16 bytes. It is in BI, PD, or ZD formats. A starting value and an increment can be
SEQNUM: How to use in SORT JCL with examples Read More »
ICETOOL is a batch front-end utility that uses the capabilities of DFSORT toperform the operations you request. Input and output datasets can be defined using user-defined DD names. The file operations are specified in the TOOLIN DD statement. Additional conditions can be specified in user-defined ‘CTL’ DD statements. A few of the utilities of ICETOOL
ICETOOL : Matching records from different data sets Read More »
Fill Method Paired and unpaired records – This example illustrates an alternative way to create three output files; paired F1/F2 records, unpaired F1 records, and unpaired F2 records. It produces the same output as Example 5. Whereas Example 5 uses an indicator in one position to determine where the key was found, Example 6 uses
Fill Method: Paired and unpaired records Read More »
Indicator method: Paired and unpaired records – This example illustrates how you can create three output files; paired F1/F2 records, unpaired F1 records, and unpaired F2 records. In this case: F1 records which do not have a match in F2 on the specified keys (for example, key=David) will be written to the F1ONLY output file.
Indicator method: Paired and unpaired records Read More »
Unpaired records F2: This example illustrates how you can select only unpaired records from one of two files. In this case, we will select the F2 records that do not have a match in F1 on the specified keys (for example, key1=Molly and key2=2100). We will also omit certain records from each input file and
Unpaired records F2 using SORT Utility Read More »
Paired records with duplicates: This example illustrates how you can join paired records from two files, both of which have duplicate records. The result will be a cartesian join. The paired records are the records in F1 and F2 with matching keys (for example, key=Cats). Paired records with duplicates Example //SEP002 EXEC PGM=SORT //SYSOUT DD
Paired records with duplicates using SORT Read More »
Paired records without duplicates – ASA (formerly ANSI)control characters appear in Position 5 for variable-length records (just after the Record Descriptor Word (RDW)). So coding REMOVECC on the OUTFIL statement suppresses the control characters. This example illustrates how you can join paired records from two files using multiple keys. In this case, neither file has
Paired records without duplicates using SORT Read More »
JOINKEYS feature joins transactions/records from two different files based on certain keys (i.e. fields with common information). The SORTJNF1 and SORTJNF2 DD statements were used to specify these files. Each JOINKEYS statement must specify the DDNAME of the file it applies to and the starting position, length, and sequence of the keys in that file. You
JOINKEYS joining two files using SORT Read More »
In SORT JCL, the STOPAFT SKIPREC are two conditions that control the processing of input records. You can use the STOPAFT SKIPREC options to reduce the number of records to be processed, which can reduce processor and data transfer time. STOPAFT and SKIPREC are optional parameters and can be used together or separately in a
STOPAFT SKIPREC condition in SORT JCL Read More »
You can use the INCLUDE OMIT statement in conjunction with other options to select/omit the number of records to be processed, which can reduce processor and data transfer time. The INCLUDE and OMIT statements allow you to select records by comparing fields with constants or other fields. Only one INCLUDE/OMIT control statement can be specified
INCLUDE OMIT condition in SORT JCL Read More »
IFTHEN statements allow you to reformat different records in different ways by specifying how build or overlay items are to be applied to records that meet given criteria. Use IFTHEN statements if you want to insert, rearrange, delete or overlay fields in different ways for different records. IFTHEN clauses for the OUTREC statement can be
IFTHEN Syncsort utility with examples Read More »
