Datacom RXX change capture and audit reporting using Dataminer routines
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Datacom RXX change capture and audit reporting using Dataminer routines

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Article ID: 55142

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Updated On:

Products

Datacom Datacom/AD Datacom/DB

Issue/Introduction

Data Mining Services ("Dataminer") provides basic Change Capture and Audit Reporting Services based on the content of the Datacom/DB or Datacom/AD Recovery File (RXX).

The Dataminer service provides three key functions:

  • RXX-based Change Capture and RAAT apply process for Datacom Source and Target environments

  • RXX-based Change Capture and SQL apply process for Datacom Source and SQL-able Target environment

  • Change audit reporting

Environment

Component : Datacom/DB

Component : Datacom/AD

Resolution

The Dataminer RAAT apply process allows you to keep target Datacom tables in sync with the source Datacom tables, without taking either the source or target tables offline (for recovery processing). This process can be very effective if you have read-only data (such as warehouse environments) that you need to keep in sync with the production but must also be up 24x7.

The Dataminer SQL apply process allows you to capture changes as they occur on the Datacom source tables and convert them into standard SQL statements that can be applied on a target DBMS system. The SQL statements are produced regardless of the method used to create the data change in the source Datacom environment (RAAT, SAAT, SQL, and Transparency).

The Dataminer audit report process allows you to capture changes and report them as they occur on the Datacom source tables. The changes are converted into easily read data files that can be used for customized reporting and querying. A sample audit report is provided with the Dataminer system.

Included in the SQL apply and audit report processes is the Identifier Field process. For each data column that is updated, you can select up to eight other column values from the same row that will be included in the column change record. These additional data values are used to "identify" the row that was changed.

For example:

Knowing that WAGES changed from 5.65 to 7.65 is of little value unless you also include the identifying column values such as:

EMPID = 12345 and LASTNAME = "DOE".

The Dataminer SQL change capture and audit report processes can be tailored to limit or adjust the content that will be generated as output. Tailoring that can be done includes:

  • Selecting only certain tables to be processed

  • Selecting specific columns (on the selected tables)

  • Selecting "sub-strings" of existing columns.

Limited data translation capabilities are available to reformat data content from the Datacom source to the SQL target or audit report.

Dataminer provides a simple, no-cost, "no-frills" way to capture and report changes for minimal CPU cycles.

For more information on Dataminer, or to obtain these routines, please open a support case in the Support Portal.

Additional Information

Dataminer is provided as a set of COBOL programs (and URTs) in source code form. Sample compile and execution JCL is provided for the z/OS environment.

The Dataminer programs are provided by Broadcom under an agreement with each licensed Datacom site. The programs are standard LE COBOL and use supported (published) APIs to access the Datacom Datadictionary and the Datacom RXX dataset. The Dataminer programs are not supported or warranted by Broadcom. The user accepts all responsibility for the use of these programs.