Table of Contents

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  1. Preface
  2. Introduction to Informatica Big Data Management
  3. Mappings in the Hadoop Environment
  4. Mapping Sources in the Hadoop Environment
  5. Mapping Targets in the Hadoop Environment
  6. Mapping Transformations in the Hadoop Environment
  7. Processing Hierarchical Data on the Spark Engine
  8. Configuring Transformations to Process Hierarchical Data
  9. Processing Unstructured and Semi-structured Data with an Intelligent Structure Model
  10. Stateful Computing on the Spark Engine
  11. Monitoring Mappings in the Hadoop Environment
  12. Mappings in the Native Environment
  13. Profiles
  14. Native Environment Optimization
  15. Cluster Workflows
  16. Connections
  17. Data Type Reference
  18. Function Reference
  19. Parameter Reference

Configure the Create Cluster Task to Run Mappings on the Blaze Engine

Configure the Create Cluster Task to Run Mappings on the Blaze Engine

If you want to use the Blaze engine to run mappings on the cloud platform cluster, you must set cluster configuration properties in the Software Setting property of the Create Cluster task.
Configure the Create Cluster task to set configuration properties in *-site.xml files on the cluster. Hadoop clusters run based on these settings.
The following text shows sample configuration of the Software Settings property:
[ { "Classification":"yarn-site", "Properties":{ "yarn.scheduler.minimum-allocation-mb":"250", "yarn.scheduler.maximum-allocation-mb":"8192", "yarn.nodemanager.resource.memory-mb":"16000", "yarn.nodemanager.resource.cpu-vcores":"12" } }, { "Classification":"core-site", "Properties":{ "hadoop.proxyuser.<DIS/OSPUSER>.groups":"<group names>", "hadoop.proxyuser.<DIS/OSPUSER>.hosts":"*" } } ]

yarn-site

yarn.scheduler.minimum-allocation-mb
The minimum RAM available for each container. Required for Blaze engine resource allocation.
yarn.scheduler.maximum-allocation-mb
The maximum RAM available for each container. Required for Blaze engine resource allocation.
yarn.nodemanager.resource.memory-mb
The maximum RAM available for each container. Set the maximum memory on the cluster to increase resource memory available to the Blaze engine.
yarn.nodemanager.resource.cpu-vcores
The number of virtual cores for each container. Required for Blaze engine resource allocation.

core-site

hadoop.proxyuser.<proxy user>.groups
Defines the groups that the proxy user account can impersonate. On a secure cluster the <proxy user> is the Service Principal Name that corresponds to the cluster keytab file. On a non-secure cluster, the <proxy user> is the system user that runs the Informatica daemon.
Set to group names of impersonation users separated by commas. If less security is preferred, use the wildcard " * " to allow impersonation from any group.
hadlop.proxyuser.<user>.hosts
Defines the host machines that a user account can impersonate. On a secure cluster the <proxy user> is the Service Principal Name that corresponds to the cluster keytab file. On a non-secure cluster, the <proxy user> is the system user that runs the Informatica daemon.
Set the property to " * " to allow impersonation from any host. This is required to run a Blaze mapping on a cloud platform cluster.


Updated October 23, 2019