Hi all, I'm interested in trying out Calcite with the goal of being able to apply the same SQL statement in 2 different setups. One is an offline batch setting with a Spark dataframe. So this could be to do basic additions or subtractions using multiple columns, or datediff operations on 2 timestamp columns. As it is Spark, the SQL statement could be applied to millions of rows in parallel. The other setup is in an online setup with Java services processing individual requests. Spark has its own powerful SQL engine, but the goal here would be to try and use Calcite and rule out incompatibilities between the Spark SQL engine and Calcite's engine used in java land.
Does anyone have experience with such an approach? I scanned the mailing archive for messages about Spark but haven't seen it. Ben
