Table of Contents

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  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. Processing Hierarchical Data on the Spark Engine
  7. Stateful Computing on the Spark Engine
  8. Monitoring Mappings in the Hadoop Environment
  9. Mappings in the Native Environment
  10. Profiles
  11. Native Environment Optimization
  12. Data Type Reference
  13. Complex File Data Object Properties
  14. Function Reference
  15. Parameter Reference

Queuing Configuration

Queuing Configuration

The following table describes the Hadoop connection property you configure to direct a job to a specific YARN scheduler queue:
Property
Description
YARN Queue Name
The connection property to specify a YARN scheduler queue name. Configure this property for the Blaze engine and the Spark engine. The name is case sensitive.
The following table describes the Hive connection property you configure to direct a job to a specific YARN scheduler queue:
Property
Description
Data Access Connection String
The Hive connection string to specify the queue name for Hive SQL override mappings on the Blaze engine.
Use the following format:
  • MapReduce.
    mapred.job.queue.name=<YARN queue name>
  • Tez.
    tez.queue.name=<YARN queue name>
For example,
jdbc:hive2://business.com:10000/default;principal=hive/_HOST@INFAKRB?mapred.job.queue.name-root.test
The following table describes the JDBC connection property you configure to direct a job to a specific YARN scheduler queue:
Property
Description
Sqoop Arguments
The Sqoop connection-level argument to direct a MapReduce job to a specific YARN queue.
Use the following format:
-Dmapred.job.queue.name=<YARN queue name>
If you do not direct the job to a specific queue, the Spark engine uses the default queue.


Updated November 09, 2018