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English
  • Data Replication 9.8.0
  • All Products

Table of Contents

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  1. Preface
  2. Data Replication Overview
  3. Understanding Data Replication
  4. Sources - Preparation and Replication Considerations
  5. Targets - Preparation and Replication Considerations
  6. Starting the Server Manager
  7. Getting Started with the Data Replication Console
  8. Defining and Managing Server Manager Main Servers and Subservers
  9. Creating and Managing User Accounts
  10. Creating and Managing Connections
  11. Creating Replication Configurations
  12. Materializing Targets with InitialSync
  13. Scheduling and Running Replication Tasks
  14. Implementing Advanced Replication Topologies
  15. Monitoring Data Replication
  16. Managing Replication Configurations
  17. Handling Replication Environment Changes and Failures
  18. Troubleshooting
  19. Data Replication Files and Subdirectories
  20. Data Replication Runtime Parameters
  21. Command Line Parameters for Data Replication Components
  22. Updating Configurations in the Replication Configuration CLI
  23. DDL Statements for Manually Creating Recovery Tables
  24. Sample Scripts for Enabling or Disabling SQL Server Change Data Capture
  25. Glossary

User Guide

User Guide

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Customizing Apply Settings for Target Tables

Customizing Apply Settings for Target Tables

You can optionally customize apply settings for individual target tables, provided that the target table has the same name and schema as the source table. You can customize the types of DDL and DML operations to apply and whether to distribute change records by rows or tables.
Data Replication does not replicate DDL operations to
Apache Kafka
 targets.
  1. On the
    Map Tables
     tab, click
    Settings
    .
    The following image shows the
    Customize Settings for the Selected Tables
     dialog box:
    Customize Settings for the Selected Tables dialog box
  2. To indicate the types of DDL changes to apply to a table, select the
    Add Column
    ,
    Drop Column
    ,
    Alter Column
    ,
    Truncate Table
    ,
    Add Index
    , and
    Drop Index
     check boxes, as needed. By default, these check boxes are not selected.
    To select a DDL operation type for a single table, select the check box in the row for the table. To select a DDL operation type for all listed tables, select the check box in the
    Select All
     row.
  3. To not apply some types of DML changes, clear the
    Insert
    ,
    Update
    , and
    Delete
     check boxes, as needed. By default, these check boxes are selected and Inserts, Updates, and Deletes are applied.
    To not apply a DML operation type for single table, clear the check box in the row for the table. To not apply a DML operation type for all of the listed tables, clear the check box in the
    Select All
     row.
  4. In the
    Distribute by
     column, select the type of algorithm that Data Replication uses for distributing Insert, Update, and Delete records to threads for parallel apply processing. Options are:
    • Rows
      . Change records for a table are distributed across threads. This option is the default for Oracle targets.
    • Tables
      . Change records for a table are assigned to a separate thread. This option is the default for DB2, Microsoft SQL Server, and Merge Apply targets. Informatica recommends that you select the
      Tables
       option when replicating a large number of small tables or when replicating data to an appliance such as Netezza or to a target on AIX, Solaris SPARC, or HP-UX systems that have certain CPU architecture such as Itanium 64-bit. With this option, Data Replication selects the thread to use for a table and dynamically distributes records as follows:
      • In SQL Apply mode, if the apply.subtasks_enabled runtime parameter is set to 1 and the change volume on a thread begins to cause a bottleneck, Data Replication dynamically spawns a subtask to process some of the change records. Data Replication uses the thread with the least load. If necessary, Data Replication can spawn multiple subtasks on multiple subtask threads. To prevent Data Replication from spawning too many threads, set the minimum amount of data, in MB per cycle, that is available to distribute to a subtask before spawning a new thread. To specify this minimum threshold, enter a value for apply.distribute_by_obj_size_threshold parameter on the
        Runtime Settings
         tab >
        Advanced Settings
         view. In Merge Apply and Audit Apply modes, Data Replication does not support Applier subtasks.
      • If the change volume on a thread is low, other tables that also have low change volumes can share the thread.
    This setting is synchronized with the
    Distribute by
     setting in the
    Map Columns
     dialog box.
  5. Click
    OK
     to save changes and close the dialog box, or click
    Apply
     to save changes without closing the dialog box.
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