Final answer:
To check if a transform is pushed down in a database or data processing system, one must review the query plan or specific logs provided by the system. This indicates whether operations like filtering or joining have been executed on the database server, which improves efficiency.
Step-by-step explanation:
When discussing whether a transform is pushed down, it usually refers to the process within a database or data processing system where operations are moved closer to the data source. In database systems, a pushdown operation means that a transformation operation such as a filter, join, or aggregation is executed on the database server rather than being processed in the application server or client side. Transformations can be pushed down to take advantage of database server resources, such as its processing power, indexing, and other optimizations, to run data operations more efficiently.
To check if a transform is pushed down in a specific system, you typically refer to the query plan or execution plan that the database management system provides. The query plan is a set of steps generated by the database's query optimizer that outlines how the database will execute a query. If the transform is included in the steps being executed within the database, it implies that the transform has indeed been pushed down. However, the specifics of how to view and analyze a query plan can vary depending on the database or system in use.