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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

Rules and Guidelines for mappings and mapping tasks

Rules and Guidelines for mappings and mapping tasks

Consider the following rules and guidelines for mapping and
mapping
tasks:
  • When you write large datasets to a Google BigQuery target, increase the Java heap size in the JVM options for type DTM. Set JVMOption3 to -Xms1024m and JVMOption4 to -Xmx4096m in the
    System Configuration Details
    section of the Secure Agent and restart the Secure Agent.
  • When you use the Hosted Agent as the runtime environment in a
    mapping
    task and use a Hierarchy Builder or Hierarchy Parser transformation in a mapping, you must specify a storage path in Google Cloud Storage in the
    Schema Definition File Path
    field under the connection properties. You can then download the sample schema definition file for the Google BigQuery table from the specified storage path in Google Cloud Storage to a local machine.
  • When you read JSON data from a MongoDB source table and write data to a column of Record data type in a Google BigQuery target table, you must specify a explicit value for columns that contain
    _id
    in the column name. Otherwise, the task fails with the following error:
    [ERROR] The [LOAD] job failed with the error - [JSON parsing error in row starting at position 0:

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