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  1. Preface
  2. Part 1: Introduction to Google BigQuery connectors
  3. Part 2: Data Integration with Google BigQuery V2 Connector
  4. Part 3: Data Integration with Google BigQuery Connector

Google BigQuery Connectors

Google BigQuery Connectors

Context based optimization for multiple targets

Context based optimization for multiple targets

When you configure a mapping to write to multiple Google BigQuery targets or write to the same Google target table in two Target transformations, you can further optimize the write operation when you configure full
SQL ELT optimization
.
To optimize, you can choose to configure an insert, update, upsert, delete, or data driven operation for multiple targets individually. You can select the same Google BigQuery target table in multiple Target transformations and perform different operations for each of the Target transformations to run independent of each other.
When you configure a mapping enabled for full
SQL ELT optimization
to write to the same Google BigQuery target table in two target transformations, you can specify the optimization context for slowly changing dimension type 2 merge scenario.
You can enable the
SCD Type 2 merge
when you write to same Google BigQuery table in two Target transformations and perform different operations for each of the Target transformations, where you use one target to insert data and the other target to update data. Data Integration combines the queries for both the targets and issues a Merge query.
Multi-insert mode is not applicable for Google BigQuery targets.

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