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Table of Contents

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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
  8. Appendix D: Troubleshooting

Snowflake Data Cloud Connector

Snowflake Data Cloud Connector

Aggregator transformation

Aggregator transformation

You can configure full SQL ELT optimization to push an Aggregator transformation to process in Snowflake.

Aggregate calculations

You can perform the following aggregate calculations:
  • AVG
  • COUNT
  • MAX
  • MIN
  • MEDIAN
  • SUM
  • VARIANCE

Incoming ports

When you configure an Aggregator transformation and the incoming port is not used in an aggregate function or in a group by field in mappings, the ANY_VALUE() function is used for columns that are not part of the group by or the aggregator function. In this case, the output is not deterministic as the ANY_VALUE() function returns any value from the port.
However, in advanced mode, when the incoming port is not a part of the group by field, the MAX() function is used. The Aggregator transformation also generates an additional column with value as 1. However, this column is dropped and not used in the insert part of the SQL ELT query.

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