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Table of Contents

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  1. Preface
  2. Data Integration performance tuning overview
  3. Optimizing targets
  4. Optimizing sources
  5. Optimizing mappings
  6. Optimizing mapping tasks
  7. Optimizing advanced clusters
  8. Optimizing system performance

Data Integration Performance Tuning

Data Integration Performance Tuning

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Factoring out common logic

Factoring out common logic

If the mapping performs the same task in multiple places, reduce the number of times the mapping performs the task by moving the task earlier in the mapping.
For example, you have a mapping with five target tables. Each target requires a Social Security Number lookup. Instead of performing the lookup five times, place the Lookup transformation in the mapping before the data flow splits. Next, pass the lookup results to all five targets.
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