Preface
Data Integration performance tuning overview
- Best practices
- Bottlenecks
  - Thread statistics
Optimizing targets
- Identifying target bottlenecks
- Eliminating target bottlenecks
Optimizing sources
- Identifying Source Bottlenecks
- Eliminating source bottlenecks
Optimizing mappings
Optimizing mapping tasks
Optimizing advanced clusters
Optimizing system performance
- Identifying system bottlenecks
  - Identifying system bottlenecks on Windows
  - Identifying system bottlenecks on Linux
- Eliminating system bottlenecks

Data Integration Performance Tuning

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Using a read test mapping

You can create a read test mapping to identify source bottlenecks. A read test mapping isolates the read query by removing the transformation in the mapping.

To create a read test mapping, complete the following steps:

Make a copy of the original mapping.

In the copy of the mapping, keep only the source transformations and any custom joins or queries.

Remove all other transformations.

Connect the sources to a flat file target.

Run the read test mapping. If the mapping performance is similar to the original run, you have a source bottleneck.

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Table of Contents

Data Integration Performance Tuning

Data Integration Performance Tuning

Using a read test mapping

Using a read test mapping