[
https://issues.apache.org/jira/browse/ARROW-1311?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Uwe L. Korn updated ARROW-1311:
-------------------------------
Description:
I had a program to read some csv files (a few million rows each, 9 columns),
and converted with:
{code}
import os
import pandas as pd
import pyarrow.parquet as pq
import pyarrow
def to_parquet(output_file, csv_file):
df = pd.read_csv(csv_file)
table = pyarrow.Table.from_pandas(df)
pq.write_table(table, output_file)
{code}
The first csv file would always complete, but python would hang on the second
or third file, and sometimes on a much later file.
was:
I had a program to read some csv files (a few million rows each, 9 columns),
and converted with:
```python
import os
import pandas as pd
import pyarrow.parquet as pq
import pyarrow
def to_parquet(output_file, csv_file):
df = pd.read_csv(csv_file)
table = pyarrow.Table.from_pandas(df)
pq.write_table(table, output_file)
```
The first csv file would always complete, but python would hang on the second
or third file, and sometimes on a much later file.
> python hangs after write a few parquet tables
> ---------------------------------------------
>
> Key: ARROW-1311
> URL: https://issues.apache.org/jira/browse/ARROW-1311
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 0.5.0
> Environment: Python 3.5.2, pyarrow 0.5.0
> Reporter: Keith Curtis
> Assignee: Wes McKinney
> Fix For: 0.6.0
>
> Attachments: backtrace.txt
>
>
> I had a program to read some csv files (a few million rows each, 9 columns),
> and converted with:
> {code}
> import os
> import pandas as pd
> import pyarrow.parquet as pq
> import pyarrow
> def to_parquet(output_file, csv_file):
> df = pd.read_csv(csv_file)
> table = pyarrow.Table.from_pandas(df)
> pq.write_table(table, output_file)
> {code}
> The first csv file would always complete, but python would hang on the second
> or third file, and sometimes on a much later file.
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