rxin commented on issue #24991: [SPARK-28188] Materialize Dataframe API URL: https://github.com/apache/spark/pull/24991#issuecomment-508297811 Got it. But the name is plain wrong because the function doesn't materialize the DataFrame. As a matter of fact, if you run this "materialize" on a query plan without a shuffle this becomes a job that's completely useless that waste a lot of resources. I've seen a different use case myself: I want to measure the execution time of a query plan, without materializing the data or invoking any I/O, or any overhead. What I ended up doing was implementing a simple data sink that doesn't write anything. Looks like that can be used here as well?
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