Does the Spark Connector support query pushdown to Snowflake?

• A. TRUE
• B. FALSE
• C. Not supported in any version
• D. Supported only in paid edition

Answer: (A)

Query pushdown to Snowflake is supported by the Spark Connector, meaning Snowflake can execute the filtering and projection work while Spark handles only the rest. The connector translates Spark predicates into Snowflake SQL so that where clauses and the selected columns are applied directly in Snowflake, reducing data movement and taking advantage of Snowflake’s optimized execution engine. This often includes pushdown of simple filters, projections, and sometimes limits, which leads to faster queries and lower network I/O. Some more complex expressions, UDFs, or unsupported operations may still run in Spark after data is fetched, so not every operation is pushed down. In current, standard versions, pushdown is enabled by default and reliable, but it’s good to check version-specific documentation for any limitations.