Added collectNumberOrderedElements #45
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benraha
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Did you specify that DataFu build with Spark 3.3 or 3.4? I think your PR assumes a newer interface of DeclarativeAggregate than what we have currently, and that's why the build is failing in our CI. I'm planning on pushing code that will upgrade us to these versions, so that will probably make your PR pass tests. |
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In a lot of our solutions, we select only a fixed number of rows, based on ordering by a column, usually a small amount. Datafu has dedupTopN, which uses a window function, and dedupWithCombiner, which is limited to only taking one record per grouping. dedupTopN is using a window function, which is inefficient because it orders all of the rows per group, and is very susceptible to skew. DedupWithCombiner won't let us take more than one row.
This PR introduces a solution - a class that implements DeclarativeAggregate, to avoid declaring the schemas explicitly and using the combiner to avoid skew and Codegen.