Andy Grove

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We can close this now that we no longer support Spark 3.2. Thanks @vidyasankarv

Thanks for looking into this @himadripal. The issue is that the projection is falling back to Spark because `org.apache.comet.expressions.CometCast#isSupported` is either returning `Unsupported` or `Incompatible` for a cast between decimal...

You may want to set `spark.comet.explainFallback.enabled=true` as well so that you can see the reason why queries are falling back to Spark.

> @andygrove do we have already a framework for fuzz testing in Scala (i.e. ScalaCheck?) Should anyone wait until you are done with the first ones so you establish a...

@mattwparas We are now actively working on supporting reading complex types from Parquet. We have this partially working in main behind feature flags, and the epic to track this work...

I am now working on cast string -> integral types. I will have a PR up later this week.

@edmondop feel free to pick up other items on the list that don't have issues yet (I will start filing more!) I added an example of falling back top Spark...

@edmondop also just added https://github.com/apache/datafusion-comet/issues/350

@snmvaughan @parthchandra please review when you have the time

> Hmm, I think this is for publishing cargo package. But I think Comet should be released as a maven package at maven repository? So users can simply add Comet...