Update docs to better explain limitations of Dataset support (#6010)

Signed-off-by: Robert (Bobby) Evans <bobby@apache.org>
NVIDIA · Jul 19, 2022 · 94b1263 · 94b1263
1 parent e945e3e
commit 94b1263
Showing 1 changed file with 5 additions and 2 deletions.
diff --git a/docs/FAQ.md b/docs/FAQ.md
@@ -86,8 +86,11 @@ of focus right now. Other areas like GraphX or RDDs are not accelerated.
 ### Is the Spark `Dataset` API supported?
 
 The RAPIDS Accelerator supports the `DataFrame` API which is implemented in Spark as `Dataset[Row]`.
-If you are using `Dataset[Row]` that is equivalent to the `DataFrame` API. However using custom
-classes or types with `Dataset` is not supported.  Such queries should still execute correctly when
+If you are using `Dataset[Row]` that is equivalent to the `DataFrame` API. In either case the
+operations that are supported for acceleration on the GPU are limited. For example using custom
+classes or types with `Dataset` are not supported. Neither are using APIs that take `Row` as an input,
+or ones that take Scala or Java functions to operate. This includes operators like `flatMap`, `foreach`,
+or `foreachPartition`. Such queries will still execute correctly when
 using the RAPIDS Accelerator, but it is likely most query operations will not be performed on the
 GPU.