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  • PowerExchange Adapters for Informatica 10.5.7
  • All Products

Table of Contents

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  1. Preface
  2. Introduction to PowerExchange for Google BigQuery
  3. PowerExchange for Google BigQuery Configuration
  4. Configuring HTTP Proxy Options
  5. Google BigQuery Connections
  6. PowerExchange for Google BigQuery Data Objects
  7. PowerExchange for Google BigQuery Mappings
  8. Google BigQuery Lookup
  9. Google BigQuery Run-Time Processing
  10. Appendix A: Google BigQuery Data Type Reference

PowerExchange for Google BigQuery User Guide

PowerExchange for Google BigQuery User Guide

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Google BigQuery Lookup Overview

Google BigQuery Lookup Overview

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