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  • PowerExchange Adapters for Informatica 10.5
  • All Products

Table of Contents

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  1. Preface
  2. Introduction to PowerExchange for Amazon Redshift
  3. PowerExchange for Amazon Redshift Configuration
  4. Amazon Redshift Connections
  5. PowerExchange for Amazon Redshift Data Objects
  6. Amazon Redshift Mappings
  7. Pushdown Optimization
  8. Amazon Redshift Lookup
  9. Appendix A: Amazon Redshift Datatype Reference
  10. Appendix B: Troubleshooting

PowerExchange for Amazon Redshift User Guide

PowerExchange for Amazon Redshift User Guide

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Amazon Redshift Lookup Overview

Amazon Redshift Lookup Overview

You can use an Amazon Redshift data object read operation to look up data in an Amazon Redshift table.
You can add an Amazon Redshift data object read operation as a lookup in a mapping. You can then configure a lookup condition to look up data from the Amazon Redshift table. You can configure the following types of lookup on an Amazon Redshift table:
Cached Lookup
You can configure a cached lookup operation to cache the lookup data on the Spark and Databricks Spark engine.
Uncached Lookup
You can configure an uncached lookup operation when you do not want the Data Integration Service to cache the lookup data in the native environment.
When you configure an uncached lookup operation, the Data Integration Service does not honor the Amazon Redshift data object read advanced properties. However, you must provide the Amazon S3 bucket name in the Amazon Redshift data object read advanced properties to validate the read operation.
For more information about cached and uncached lookup, see
"Lookup Transformation" in the Developer Transformation Guide.
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