[BUG] [Logic Bug] "SELECT <column> FROM <table>" by JDBC brings Error

[qwebug]

What happened:

Using "SELECT <column> FROM <table>" by JDBC brings different results, when using CPU and GPU.

However, it is the same result, when using this sql by python.

What you expected to happen:

It is the same result, when using CPU and GPU.

Minimal Complete Verifiable Example:

Query by JDBC:

DROP SCHEMA IF EXISTS database0;
CREATE SCHEMA IF NOT EXISTS database0;
USE SCHEMA database0;
CREATE TABLE t0 WITH ( location = '/tmp/t0.csv', format = 'csv', gpu = FALSE );
CREATE TABLE t0_gpu WITH ( location = '/tmp/t0.csv', format = 'csv', gpu = TRUE );

t0.csv:

c0,c1,c2
',?', 'E', True

SQL:

SELECT t0.c2 FROM t0;

Result:

  c2   
-------
  True 
(1 row)

SQL:

SELECT t0_gpu.c2 FROM t0_gpu;

Result:

  c2  
------
  'E' 
(1 row)

Query by python:

import pandas as pd
import dask.dataframe as dd
from dask_sql import Context

c = Context()

df = pd.DataFrame({
    'c0': [',?'],
    'c1': ['E'],
    'c2': [True],
})
t0 = dd.from_pandas(df, npartitions=1)

c.create_table('t0', t0, gpu=False)
c.create_table('t0_gpu', t0, gpu=True)

print('CPU Result:')
result1= c.sql("SELECT t0.c2 FROM t0").compute()
print(result1)

print('GPU Result:')
result2= c.sql("SELECT t0_gpu.c2 FROM t0_gpu").compute()
print(result2)

Result:

INFO:numba.cuda.cudadrv.driver:init
CPU Result:
     c2
0  True
GPU Result:
     c2
0  True

Anything else we need to know?:

Environment:

• dask-sql version: 2023.6.0
• Python version: Python 3.10.11
• Operating System: Ubuntu22.04
• Install method (conda, pip, source): Docker deploy by https://hub.docker.com/layers/rapidsai/rapidsai-dev/23.06-cuda11.8-devel-ubuntu22.04-py3.10/images/sha256-cfbb61fdf7227b090a435a2e758114f3f1c31872ed8dbd96e5e564bb5fd184a7?context=explore
• JDBC Version: presto-jdbc 0.283