Preface
Backing Up and Restoring the Data Vault
- Overview
  - Backup and Restore Guidelines
- Offline Backup and Restore
- Online Backup and Restore
Configuring Centera as a Remote Data Vault Store
- Overview
- Step 1. Install the XAM Libraries
- Step 2. Set Up the Target Connection
- Step 3. Run the Create Archive Folder Job
- Step 4. Add the XAM Connection to the SSA.ini File
- Step 5. Validate the Connection to Centera
Configuring Data Archive for a Legacy Source Using Legacy Adapters
- Abstract
- Configuring Data Archive for a Legacy Source Using Legacy Adapters
Data Archive Seamless Access for PeopleSoft
- Abstract
- Overview
- Prerequisites
  - System Privileges
  - Object Privileges
- Data Archive Seamless Data Access Job
- Modifying the tnsnames.ora
- PeopleSoft Seamless Access Script
- Creating an Application Server Domain
- Creating a Process Scheduler (Batch Server)
- Process Scheduler Setup
- Creating a PeopleSoft PIA
  - Adding Multiple Sites to a Single WebLogic Domain
- Appendix A
  - Script Changes
- Appendix B
Data Archive Transaction Restore API
- Abstract
- Overview
  - List of Terms
- Solution Overview
  - Features
- Calling the Transaction Restore API
Dropping and Truncating Partitions in Data Archive
- Abstract
- Overview
- When to Drop and Truncate Partitions
- Entity Configuration
- How to Configure an Entity to Truncate or Drop Partitions
- How to Choose Partitions
- How to Drop or Truncate Partitions from Multiple Tables
- How to Drop and Truncate Partitions from Multiple Tables within the Same Entity
  - Interim One - Drop Partitions
  - Interim Two - Truncate Partitions
- Log Messages
  - Normal Completion
  - Exception Handling
High Availability Configuration for the Data Archive and File Archive Service Versions 6.1 to 6.3
- Overview
- High Availability Configuration
  - High Availability Configuration for the ILM Repository
- High Availability Requirements
- Primary Server Installation and Configuration
  - Set the Location of the Data Vault Repository File
  - Set the Location of the Shared Run-Time Files
- Failover Server Installation and Configuration
  - Data Vault Service Configuration
    - Set the Location of the Data Vault Repository File
    - Set the Location of the Shared Run-Time Files
  - Data Vault Service Agent Configuration
- Operation
  - Load Management
    - Guidelines for Setting the Agent Priority Level
  - Failover Management
    - Restoring Primary Server Operation
    - Guidelines for Server Operation
- Troubleshooting
0955-High Availability Configuration for the Data Vault Version 6.4 and Later
- Overview
- High Availability Configuration
  - High Availability Configuration for the ILM Repository
- High Availability Requirements
- Primary Server Installation and Configuration
  - Set the Location of the Data Vault Repository File
  - Set the Location of the Shared Run-Time Files
- Failover Server Installation and Configuration
  - Data Vault Service Configuration
    - Set the Location of the Data Vault Repository File
    - Set the Location of the Shared Run-Time Files
  - Data Vault Service Agent Configuration
- Operation
  - Load Management
    - Guidelines for Setting the Agent Priority Level
  - Failover Management
    - Restoring Primary Server Operation
    - Guidelines for Server Operation
- Restoring Data Visualization Report Functionality
  - Updating the JDBC URL or Password for Non-Healthcare Reports
  - Updating the JDBC URL or Password for Healthcare Reports
- Troubleshooting
How to Create Business Rules to Archive and Purge Transactional Data
- Abstract
- Overview
- Candidate Generation Process
How to Uninstall Data Archive 5.1
- Abstract
- Overview
- Step 1. Delete the History Instance
- Step 2. Delete the Applimation Agent
- Step 3. Delete the Source Instance
- Step 4. Delete the Agent Schema
- Step 5. Create and Run the drop_data_access.sql Script
- Step 6. Delete the Applimation Application
- Step 7. Drop the amhome Schema and Tablespace
How to Uninstall Data Archive 5.3
- Abstract
- How to Uninstall Data Archive 5.3
How to Use Scripts to Change Database User Passwords in the ILM Repository
- Abstract
- Overview
- Properties File
- Changing Database User Passwords
IBM DB2 Database Connectivity and Setup for Data Archive
- Abstract
- Overview
- Step 1. Set Up IBM DB2 Privileges
- Step 2. Bind the Packages on IBM DB2
- Step 3. Mine the Source Database and Create Entities
  - IBM DB2 Connection Properties
  - Mining the Database
- Step 4. Create a Source Connection
- Step 5. Create a Target Connection
- Step 6. Create an Archive Project
- Known Limitations
Installing Data Visualization
- Installing Data Visualization Overview
- Before You Install
- Installing Data Visualization
Integrating Third-Party Schedulers in ILM Engine
- Abstract
- Overview
- Integrating a Third-Party Scheduler
  - Replacing the Quartz Scheduler
- Using the Third-Party Scheduler API
- Integrating External Schedulers
Parallel Processing in Data Archive
- Abstract
- Introduction
- Metadata Tuning
- Performance-Related Source Repository Attributes
- Archive Definition Setup
- Restore Definition Setup
- Java Parallelism - Processing Multiple Tables Simultaneously
- Database Link Setup for Restore Cycles
Seamless Access Configuration for Siebel Applications
- Abstract
- Objective
- Dedicated Client Mode
- Web Client Mode
Seamless Access Setup for Oracle E-Business Suite
- Abstract
- Overview
- Setting Up Seamless Access Between Informatica Data Archive and Oracle E-Business Suite
- Appendix
  - Sample Script for Archive Only Schema
  - Sample Script for Combined Schema
Seamless Access Setup for Oracle R12 in Data Archive
- Abstract
- Apply Oracle Patch 9015132 "ENABLING INVOKERS PROCESSING IN R12"
- Configure the Seamless Access Users and Responsibilities
- Release 12 Applications Tier Configuration for Informatica ILM Seamless Access
  - Example: AMQUERY GL Administrator Responsibility
- References
Using the Data Vault Service JDBC Driver to Connect to the Data Vault
- Data Vault Service JDBC Driver Overview
- JDBC Driver Requirements
- JDBC Driver Installation
- ODBC Data Source for the Data Vault
- Connecting to the Data Vault
Using Multiple Engines in an ILM Environment
- Abstract
- Challenge
- Description
- Workflow Best Practices
- Keeping Track of Tomcat Engines
- Keeping the ./webapp/file_archive Directories Synchronized
- Keeping the ./webapp/xsl Directories Synchronized
Using PowerExchange ODBC Connections in a Data Archive Retirement Project
- Abstract
- Overview
- Implementation Scenario
- Task Flow
- Step 1: Install and Configure PowerExchange on z/OS
- Step 2: Install and Configure PowerExchange on the Data Archive Server
- Step 3: Install and Configure PowerExchange on the Validation Server
- Step 4: Install and Configure PowerExchange on Windows
  - Install PowerExchange on Windows
  - Edit the DBMOVER Configuration File on the Windows System
- Step 5: Create PowerExchange Data Maps
- Step 6: Configure PowerExchange ODBC Data Sources on the Data Archive Server
  - Configure ODBC Data Sources on Linux or UNIX
  - Configure ODBC Data Sources on Windows
- Step 7: Configure PowerExchange ODBC Data Sources on the Validation Server
- Step 8: Import z/OS Metadata
- Step 9: Define and Run the Retirement Project
  - Define the Retirement Archive Project
  - Run the Retirement Project
- Step 10: Validate the Retired Data
Discovering Foreign Key Relationships in Enterprise Data Manager
- Overview
- Airline Ticket Example
- Step 1. Configure Profile and Discovery Parameters
- Step 2. Start Enterprise Data Manager
- Step 3. Import Metadata from the Database
- Step 4. Discover Table Relationships
- Step 5. Define Foreign Keys

Data Archive How-To Guide

6.5
- 6.5.1
- 6.5 HotFix 1
- 6.4.4
- 6.4.3 HotFix 1
- 6.4.3

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Parallel Delete Controlled by Data Archive

Data Archive spawns and controls multiple delete processes. Each delete process is a Java thread, where each worker processes a range of rows. This method is slower than Oracle's parallelism, but does not lock the table. Therefore, use this option when you schedule archive cycles during business hours.

The following are sample delete statements executed by parallel worker threads:

DELETE FROM PO.PO_DISTRIBUTIONS_ALL A 
WHERE (ROWID, PO_DISTRIBUTION_ID) IN (
SELECT /*+ CARDINALITY(X,1) */ APPLIMATION_ROW_ID, PO_DISTRIBUTION_ID FROM 
AM_STAGE.AA_3666113_T1 X WHERE APPLIMATION_ROW_NUM BETWEEN 1 AND 100000)

DELETE FROM PO.PO_DISTRIBUTIONS_ALL A 
WHERE (ROWID, PO_DISTRIBUTION_ID) IN (
SELECT /*+ CARDINALITY(X,1) */ APPLIMATION_ROW_ID, PO_DISTRIBUTION_ID FROM 
AM_STAGE.AA_3666113_T1 X WHERE APPLIMATION_ROW_NUM BETWEEN 1000001 AND 200000)

Consider the following factors before you use Oracle parallel DML:

Oracle parallelism during delete operations requires an exclusive lock on the table that is deleted, preventing other users from updating the same table. Read access on these tables is still possible. Use Oracle parallelism if archive cycles are scheduled outside of business hours when no users need write access to the ERP system.

The source or ERP tables need to support parallel DML. Tables that you created in an Oracle 8/8i database, which you upgraded to 9i/10g, do not support parallel DML. Use the query below to check the relevant table property:

select 
 a.property, 
 decode(bitand(a.property,536870912), 0, 'DISABLED', 'ENABLED') pdml_enabled
from sys.tab$ a, dba_objects b
where a.obj# = b.object_id 
and b.object_name = '&table_name' and b.owner = '&owner';

If a table does not support parallel DML, Oracle provides a means to enable it. For more information, contact Informatica Global Customer Support.

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Table of Contents

Data Archive How-To Guide

Data Archive How-To Guide

Parallel Delete Controlled by Data Archive

Parallel Delete Controlled by Data Archive