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  1. Preface
  2. Introduction to Data Engineering Administration
  3. Authentication
  4. Running Mappings on a Cluster with Kerberos Authentication
  5. Authorization
  6. Cluster Configuration
  7. Cloud Provisioning Configuration
  8. Data Integration Service Processing
  9. Appendix A: Connections Reference
  10. Appendix B: Monitoring REST API

Data Engineering Administrator Guide

Data Engineering Administrator Guide

Tuning the Blaze Engine

Tuning the Blaze Engine

Tune the Blaze engine to adhere to big data processing requirements on the Blaze engine. When you tune the Blaze engine, the autotune command configures the Blaze advanced properties in the Hadoop connection.
The following table describes the Blaze properties that are tuned:
Property
Description
Value
infagrid.orch.scheduler.oop.container.pref.memory
The amount of memory that the Blaze engine uses to run tasklets.
5120
infagrid.orch.scheduler.oop.container.pref.vcore
The number of DTM instances that run on the Blaze engine.
4
infagrid.tasklet.dtm.buffer.block.size
The amount of buffer memory that a DTM instance uses to move a block of data in a tasklet.
6553600
* The tuned properties do not depend on the deployment type.

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