Faster COBOL Sorting

Seamlessly accelerate COBOL programs

Overview
bin/sort
JCL SORT
Micro Focus COBOL
Natural
SAS
UniKix
Challenges

You want to seamlessly improve your sorting performance in an MF COBOL Enterprise Server, Server Express, Net Express, or Workbench environment, meaning without making any changes to your programs.

You may also want a callable sort program or an API library for transforming embedded data and reporting to address specific bottlenecks in the COBOL program.

Solutions

Drop-in sort replacement: The CoSort Package von IRI offers libraries that seamlessly connect to Micro Focus COBOL on Unix and Windows systems, improving native sort speeds up to 6x without source code changes. See the libraries here to.

Retrievable Acceleration MF COBOL users can also call CoSort utilities and APIs to enhance sorting, transformation, and reporting performance directly from applications written in MF COBOL. See here the APIs.

MFVL, MF-ISAM, and Vision File Conversion: CoSort collects, converts, and creates MF COBOL variable-length records, MF-ISAM, and Vision index file formats into and from other file formats. For details on file format conversion, see here.

New TabCOBOL Data Type Conversion: CoSort and NextForm Tools can also process and convert ACUCOBOL, Micro Focus, and RM COBOL data types, including packed and zoned decimals. Convert between these types and to/from other data types such as ASCII, numeric, and Unicode. For conversion details, see here.

COBOL Copybook Translation CoSort uses your existing metadata and saves time creating SortCL job scripts through a File Dictionary (FD) translation utility called „cob2ddf“. This free command-line program, short for COBOL-to-DDF, converts copybook descriptions into corresponding Data Definition File (.DDF) layouts. SortCL Metadata Details here.Integration and reuse of DDF metadata in:

  1. IRI CoSort for Data Transformation and Reporting
  2. IRI NextForm for Data Migration and Replication oSort for Data Transformation and Reporting
  3. IRI FieldShield for data masking and encryption
  4. IRI RowGen for secure and intelligent generation of test data