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  1. Preface
  2. Part 1: Getting Started with Snowflake Data Cloud Connector
  3. Part 2: Data Integration with Snowflake Data Cloud Connector
  4. Part 3: SQL ELT with Snowflake Data Cloud Connector
  5. Appendix A: Data type reference
  6. Appendix B: Additional runtime configurations
  7. Appendix C: Upgrading to Snowflake Data Cloud Connector

Snowflake Data Cloud Connector

Snowflake Data Cloud Connector

Rules and guidelines for Snowflake Data Cloud target transformations

Rules and guidelines for Snowflake Data Cloud target transformations

The following rules and guidelines apply for Snowflake Data Cloud target transformations:
  • If some records are rejected while writing large amounts of data to Snowflake, the rejected file might not display some of the rejected records even though the statistics of rejected records appear correctly in the session logs.
  • If you run a mapping configured to create a new target at runtime, you can't write data to a Snowflake target when the table name contains a slash (/) or backslash (\).
  • In advanced mode, the following restrictions apply:
    • The mapping fails when the Snowflake table names contains double quotes. You can include column names with double quotes.
    • When you specify a table name for a target that you want to create at runtime and you also specify an update override with a different table name, the mapping considers the table name specified during the design time.
    • You cannot call a stored procedure from a custom query from the Source transformation.
    • If the selected update column in a Target transformation contains the maximum length defined for the column name, the task fails. Ensure that the length of the column name length does not exceed 75 characters.

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