ZeroCopy Conversion from Spark ColumnarBatch

### What is the problem the feature request solves?

When spark DataSource api can read data as ColumnarBatch objects datafusion can already do a direct columnar to columnar conversion. This avoids row conversion, but still means data needs to be copied even when the data in ColumnarBatch is already arrow.

### Describe the potential solution

Conversion should first check if vectors in ColumnarBatch are instances of `org.apache.spark.sql.vectorized.ArrowColumnVector`. When that's true, conversion should be zero-copy and probably ignore datafusion's maxRowsPerBatch config (??).

### Additional context

I'm working on [spark-adbc](https://github.com/tokoko/spark-adbc) data source. data source outputs `ArrowColumnVector`s in ColumnarBatch. while using comet helps avoid row conversion right after read, there's still some penalty for copying vectors over.