A Snowpark-optimized warehouse is designed to efficiently handle workloads with more complex memory usage patterns, like data processing and machine learning, by providing optimized resource allocation, which can help mitigate memory spillage without significantly increasing costs.
B. Enable the query acceleration service.
The query acceleration service dynamically adds additional compute resources (more CPU and memory) to a virtual warehouse when queries require more resources than initially allocated. This can be a cost-effective solution as it only scales up resources temporarily during peak demand, potentially reducing memory spillage without the need to permanently increase the warehouse size.
"When a query requires additional memory without additional compute, it is more cost effective to switch to a Snowpark-optimized warehouse rather than increasing the size of the warehouse."
When a query requires additional memory without additional compute, it is more cost effective to switch to a Snowpark-optimized warehouse rather than increasing the size of the warehouse
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