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  • Data Engineering Integration 10.2.2 HotFix 1
  • All Products

Table of Contents

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  1. Preface
  2. Introduction to Big Data Management 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. Connections
  10. Multiple Blaze Instances on a Cluster
  11. Monitoring REST API

Big Data Management Administrator Guide

Big Data Management Administrator Guide

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Tuning the Application Services

Tuning the Application Services

Tune the application services for big data processing.
You tune the application services according to the deployment type that best describes the big data processing requirements in your environment. For each application service, the heap memory is tuned based on the deployment type.
The following table describes how the heap memory is tuned for each application service based on the deployment type:
Service
Sandbox
Basic
Standard
Advanced
Analyst Service
768 MB
1 GB
2 GB
4 GB
Content Management Service
1 GB
2 GB
4 GB
4 GB
Data Integration Service
640 MB
2 GB
4 GB
6 GB
Model Repository Service
1 GB
1 GB
2 GB
4 GB
Resource Manager Service
512 MB
512 MB
2 GB
4 GB
Search Service
768 MB
1 GB
2 GB
4 GB

Data Integration Service

When you tune the Data Integration Service, the deployment type additionally defines the execution pool size for jobs that run in the native and Hadoop environments.
The following table lists the execution pool size that is tuned in the native and Hadoop environments based on the deployment type:
Run-time Environment
Sandbox
Basic
Standard
Advanced
Native
10
10
15
30
Hadoop
10
500
1000
2000
If the deployment type is Advanced, the Data Integration Service is tuned to run on a grid.
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