[parquet] add vector support for parquet

[steFaiz]

Purpose

Currently parquet format do not recognize vector type. This will cause UnsupportedOperationException if users' do not store vectors in separated format. e.g. Lance, Vortex

Tests

UnitTests

[JingsongLi]

Thanks for adding Parquet vector support. One correctness concern: VectorType is fixed-size, but this implementation encodes it as a Parquet LIST and currently accepts whatever list length is present. On the write path, ParquetRowDataWriter writes row.getVector(...).size() without checking it against VectorType.getLength(); on the read path, CastedVectorColumnVector returns a ColumnarVec using the Parquet list length, not the declared vector length. That can let malformed vectors be written/read and then fail later in Spark/DataConverter or vector indexing with less context. Could we validate the vector length at the Parquet boundary, and ideally add a test for mismatched length?