BUG: pd.read_parquet fails for wide parquet files and pyarrow 1.0.X
I recently tried to update my pyarrow from 0.17.1 to 1.0.0 and I'm encountering a serious bug where wide DataFrames fail during read_parquet.  Small parquet files (m=10000) read correctly, medium files (m=40000) fail with a "Bus Error: 10", and large files (m=100000) completely hang.  I've tried python 3.8.5, pandas 1.0.5, pyarrow 1.0.0, and OSX 10.14.  

The driver code and output is below:

```python
import pandas as pd
import numpy as np
import sys

filename = "test.parquet"
n = 10
m = int(sys.argv[1])

print(m)
x = np.zeros((n, m))
x = pd.DataFrame(x, columns=[f"A_{i}" for i in range(m)])
x.to_parquet(filename)
y = pd.read_parquet(filename, engine='pyarrow')
```

```bash
time python test_pyarrow.py  10000
10000

real	0m4.018s
user	0m5.286s
sys	0m0.514s


time python test_pyarrow.py  40000
40000
Bus error: 10
```

On a pyarrow 0.17.1 environment, the 40,000 case completes in 8 seconds.  

If anyone is a pyarrow dev, it might make sense for them to cross-post this issue there as well.  