yurikoomiga commented on issue #13186:
URL: https://github.com/apache/arrow/issues/13186#issuecomment-1135743977
> @yurikoomiga Can you post a sample file that fails somewhere? (or code to
reproduce the generation of the file)
I'm sorry to reply you after so long.
The sample file is so large, so I post the generating code like this:
```
import random, string
import pandas as pd
import pyarrow as pa
import pyarrow.parquet as pq
def create_list(type):
if type == "VARCHAR":
num = string.ascii_letters + string.digits
return "".join(random.sample(num, random.randint(1, 20)))
elif type == "INT":
return random.randint(1,65536)
def chang_column_type(column_type,data_frame_column):
if "INT" in column_type:
return data_frame_column.astype("int32")
return data_frame_column
def build_parquet_schema(column_name,column_type):
table_list = list()
for index, column in enumerate(column_name):
if "VARCHAR" in column_type[index]:
table_list.append((column, pa.string()))
elif "INT" in column_type[index]:
table_list.append((column,pa.int32()))
else:
table_list.append((column, pa.string()))
return pa.schema(table_list)
if __name__ == '__main__':
parquet_file ="test.parquet"
column_type,column_name,data_list = list(),list(),list()
for i in range(0,20):
column_name.append("TEST%s"%i)
column_type.append("VARCHAR") if i%2==0 else
column_type.append("INT")
table_schema = build_parquet_schema(column_name,column_type)
for i in range(0,3*1000*1000):
data_list.append(list(map(create_list,column_type)))
test_panda_frame = pd.DataFrame(data_list, columns=tuple(column_name))
for index, column in enumerate(column_name):
test_panda_frame[column] = chang_column_type(column_type[index],
test_panda_frame[column])
table = pa.Table.from_pandas(test_panda_frame, schema=table_schema)
pq.write_table(table, parquet_file,row_group_size=300*1000*1000)
exit(0)
```
I run it in ubuntu 9.4.0 and use python3.8, pyarrow 7.0.0
You can use this to generate a test.parquet file and read any multiple
columns with using `_reader->set_use_threads(true);`
@pitrou @westonpace
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