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Keith Curtis commented on ARROW-1311: ------------------------------------- Hi, I think I have the updated one: $ pip install --upgrade pyarrow==0.5.* Collecting pyarrow==0.5.* Downloading pyarrow-0.5.0.post1-cp35-cp35m-manylinux1_x86_64.whl (8.9MB) ... I re-ran my script, but python appeared to hang, and the stack trace looks similar: #0 je_spin_adaptive (spin=<synthetic pointer>) at include/jemalloc/internal/spin.h:40 #1 chunk_dss_max_update (new_addr=<optimized out>) at src/chunk_dss.c:83 #2 je_chunk_alloc_dss (tsdn=tsdn@entry=0x7f6d609ab620, arena=arena@entry=0x7f6ca8800140, new_addr=new_addr@entry=0x7f6c33000000, size=size@entry=8388608, alignment=alignment@entry=2097152, zero=zero@entry=0x7fff45db9850, commit=commit@entry=0x7fff45db97a0) at src/chunk_dss.c:122 #3 0x00007f6ca92bb02f in chunk_alloc_core (dss_prec=dss_prec_secondary, commit=0x7fff45db97a0, zero=0x7fff45db9850, alignment=2097152, size=8388608, new_addr=0x7f6c33000000, arena=0x7f6ca8800140, tsdn=0x7f6d609ab620) at src/chunk.c:357 #4 chunk_alloc_default_impl (commit=0x7fff45db97a0, zero=0x7fff45db9850, alignment=2097152, size=8388608, new_addr=0x7f6c33000000, arena=0x7f6ca8800140, tsdn=0x7f6d609ab620) at src/chunk.c:430 #5 je_chunk_alloc_wrapper (tsdn=tsdn@entry=0x7f6d609ab620, arena=arena@entry=0x7f6ca8800140, chunk_hooks=chunk_hooks@entry=0x7fff45db97c0, new_addr=new_addr@entry=0x7f6c33000000, size=size@entry=8388608, alignment=2097152, sn=sn@entry=0x7fff45db97b0, zero=zero@entry=0x7fff45db9850, commit=commit@entry=0x7fff45db97a0) at src/chunk.c:490 ... > 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: > ```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. -- This message was sent by Atlassian JIRA (v6.4.14#64029)