Tuning and Sizing Guidelines for Data Engineering Integration (10.4.x)

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REST API Mapping Service Tips

Consider the following configuration and performance tuning tips when you use the REST API to run deployed mappings.

Using the REST API from a remote client: When you make a mapping service request from a remote client, ensure that any parameter files required to run the mapping are present on the Data Integration Service node.
Persisting monitoring statistics: When you configure monitoring on the domain, ensure that you use a dedicated Model Repository Service that is only used to persist monitoring statistics.
Running concurrent jobs: When you run concurrent jobs, use the Administrator tool to configure the following properties for the Data Integration Service:
In the
Properties
tab under
Execution Options
, set Maximum Hadoop Batch Execution Pool Size to a value larger than the number of concurrent jobs.
In the
Processes
tab under
HTTP Configuration Properties
, set the following properties:

Property
Value

Maximum Concurrent Requests
400

Maximum Backlog Requests
400