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DB2 DataPropagator

IBM Not Supported z/OS
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Product Overview

The architecture of DB2 DataPropagator comprised several key components. The Capture program monitored the source database's transaction logs to identify data changes. The Apply program then applied these changes to the target database.

Configuration was managed through control tables and configuration files, which defined replication rules and database connections. The product used DB2's database engine for storage and relied on the DB2 CLI for administrative tasks. Communication between components was primarily internal, using DB2's database services.

There were no specific network ports exposed beyond those used by DB2 itself. The product is no longer supported. IBM InfoSphere Replication Server provides a more modern and scalable architecture for data replication.

Migration to InfoSphere Replication Server is recommended to leverage its advanced features and support.

Frequently Asked Questions

What is the primary function of DB2 DataPropagator?

DB2 DataPropagator was designed to replicate data between DB2 databases. It allowed for the propagation of data changes from a source database to one or more target databases. This included support for various data types and replication scenarios.

What types of replication did DB2 DataPropagator support?

DataPropagator supported both full and incremental replication. Full replication involved copying the entire dataset, while incremental replication only transferred changes. The choice depended on the specific needs and the size of the data being replicated.

What were the main use cases for DB2 DataPropagator?

The product was primarily used for data warehousing, disaster recovery, and data synchronization across different DB2 instances. It enabled businesses to maintain data consistency and availability across multiple systems.

How did DB2 DataPropagator replicate data?

DataPropagator utilized a capture and apply process. The capture process identified changes in the source database, and the apply process applied those changes to the target database. This process ensured data consistency.

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