Table of Contents


  1. Preface
  2. Introduction to Informatica Big Data Management
  3. Connections
  4. Mappings in the Hadoop Environment
  5. Mapping Objects in the Hadoop Environment
  6. Monitoring Mappings in the Hadoop Environment
  7. Mappings in the Native Environment
  8. Profiles
  9. Native Environment Optimization
  10. Data Type Reference
  11. Function Reference
  12. Parameter Reference
  13. Multiple Blaze Instances on a Cluster



When you use the Blaze engine to run mappings, Blaze uses a Grid Manager at run time to allot tasks to various nodes in a Hadoop cluster. The Grid Manager aids in resource allocation.
You can use the same Hadoop cluster to stage your test environment and establish a production environment. To control resource use on the cluster, you can establish a separate Blaze instance for testing and another for production.
Each instance requires a separate Grid Manager. You create an additional Grid Manager by performing a series of steps to create separate infrastructure for each Blaze instance, including a unique namespace and a Hadoop connection for each Blaze instance to use.
The following image shows how a separate Data Integration Service on the domain creates a separate Grid Manager on the cluster:
The image shows how separate Data Integration Services use separate Blaze instances. Each instance uses a separate Grid Manager to communicate with the cluster resource manager to balance resources.
Perform the following steps to set up separate Blaze instances:

    Step 1. Prepare the Hadoop cluster for the Blaze engine.

    Step 2. Configure Data Integration Service properties.

    Step 3. Update

    Step 4. Create a new Hadoop connection.

    Step 5. Set mapping preferences.

Updated July 03, 2018