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  • Data Integration Connectors
  • All Products

Table of Contents

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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

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Supported features

Supported features

You must configure a Google BigQuery V2 connection with simple or hybrid mode when you enable
SQL ELT optimization
 in a mapping task.
If you configure a Google BigQuery V2 connection with complex mode, the Secure Agent logs an
SQL ELT optimization
 validation error in the session logs file and the mappings run in the Informatica runtime environment without full
SQL ELT optimization
.
When you configure
SQL ELT optimization
, the mappings support the following advance properties for a Google BigQuery V2 source:
  • Source type - Single, Query, Multiple Objects, and Parameter
  • Query options - Filter. Supports both simple and advanced filter conditions. You can use both the source filter in conjunction with the Filter transformation in the mapping.
  • Source Dataset ID
  • Source Table Name
  • Number of Rows to Read
  • Job Poll Interval In Seconds
  • Pre SQL using standard SQL query
  • Pre SQL Configuration
  • Post SQL using standard SQL query
  • Post SQL Configuration
  • SQL Override Query using standard SQL query
  • Billing Project ID
When you configure
SQL ELT optimization
, the mappings support the following advance properties for a Google BigQuery V2 connected and unconnected lookup:
  • Source type - Single
  • Source type - Query
  • Source type - Standard and materialized views
  • Source Object Type - Parameter
  • Source Dataset ID
  • Source Table Name
  • Job Poll Interval In Seconds
  • Pre SQL using standard SQL query
  • Pre SQL Configuration
  • Post SQL using standard SQL query
  • Post SQL Configuration
  • SQL Override Query using standard SQL query
  • Billing Project ID
When you configure
SQL ELT optimization
, the mappings support the following properties for an Google BigQuery V2 target:
  • Target Object Type - Single, Parameter
  • Operation
    • Insert
    • Update
    • Upsert
    • Delete
    • Data Driven
    You can implement the Update Strategy through target operations.
  • Data Driven Condition
  • Target Dataset ID
  • Target Table Name
  • Update Mode
  • Enable Merge
  • Create Disposition for Insert operation. Supports only
    Create if never
     option.
  • Write Disposition for Insert operation. Supports only
    Write append
     option.
  • Write Mode. Use Bulk mode to push data into Google BigQuery.
  • Truncate target table
  • Job Poll Interval In Seconds
  • Pre SQL using standard SQL query
  • Pre SQL Configuration
  • Post SQL using standard SQL query
  • Post SQL Configuration
  • Billing Project ID
If you configure target advanced properties that are not supported, the Secure Agent logs an validation error in the session logs and the mappings run in the Informatica runtime environment without full
SQL ELT optimization
.
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