import pylibcudf as plc
import pyarrow as pa
import cudf

PATH = xyz # snip
columns = abc # snip

reader = plc.io.parquet.ChunkedParquetReader(
        plc.io.SourceInfo([PATH]),
        columns=columns,
        nrows=-1,
        skip_rows=0,
        chunk_read_limit=0,
        pass_read_limit=17179869184 # 16 GiB
)
chk = reader.read_chunk()
tbl = chk.tbl
names = chk.column_names()
concatenated_columns = tbl.columns()

while reader.has_next():
    tbl = reader.read_chunk().tbl
    for i in range(tbl.num_columns()):
        concatenated_columns[i] = plc.concatenate.concatenate(
                [concatenated_columns[i], tbl._columns[i]]
        )
        tbl._columns[i] = None

chunked_col = plc.interop.to_arrow(concatenated_columns[2])

non_chunked = plc.io.parquet.read_parquet(
        plc.io.SourceInfo([PATH]),
        columns=columns,
        nrows=-1,
        skip_rows=0
        )

non_chunked_col = plc.interop.to_arrow(non_chunked.columns[2])

assert chunked_col.equals(non_chunked_col) # False