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  1. Preface
  2. Part 1: Version 10.4.1
  3. Part 2: Version 10.4.0
  4. Part 3: Version 10.2.2
  5. Part 4: Version 10.2.1
  6. Part 5: Version 10.2
  7. Part 6: Version 10.1.1
  8. Part 7: Version 10.1

PowerExchange for Google BigQuery

PowerExchange for Google BigQuery

Effective in version 10.4.0, PowerExchange for Google BigQuery includes the following features:
  • You use a Google Dataproc cluster to run mappings on the Spark engine.
  • You can increase the performance of the mapping by running the mapping in Optimized Spark mode. When you use the Optimized Spark mode to read data, you can specify the number of partitions to use. You can specify whether to run the mapping in
    Generic
    or
    Optimized
    mode in the advanced read and write operation properties. Optimized Spark mode increases the mapping performance.
  • You can configure a SQL override to override the default SQL query used to extract data from the Google BigQuery source.
  • You can read or write data of the NUMERIC data type to Google BigQuery. The NUMERIC data type is an exact numeric value with 38 digits of precision and 9 decimal digits of scale. When you read or write the NUMERIC data type, the Data Integration Service maps the NUMERIC data type to the Decimal transformation data type and the allowed precision is up to 38 and scale upto 9.
For more information, see the
Informatica 10.4.0 PowerExchange for Google BigQuery User Guide
.


Updated November 24, 2020