Renan Alves Fonseca created ARROW-6380:
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Summary: Method pyarrow.parquet.read_table has memory spikes from
version 0.14
Key: ARROW-6380
URL: https://issues.apache.org/jira/browse/ARROW-6380
Project: Apache Arrow
Issue Type: Bug
Components: C++
Affects Versions: 0.14.1, 0.14.0
Environment: ubuntu 18, 16GB ram, 4 cpus
Reporter: Renan Alves Fonseca
Fix For: 0.13.0
Method pyarrow.parquet.read_table is very slow and cause RAM spikes from
version 0.14.0
Reading a 40MB parquet file takes less than 1 second in versions 0.11, 0.12 and
0.13. wheras it takes from 6 to 30 seconds in versions 0.14.x
This impact in performance is easily measured. However, there is another
problem that I could only detect on htop screen. While opening a 40MB parquet,
the process occupies almost 16GB for some miliseconds. The pyarrow table will
result in around 300MB in the python process (registered using
memory-profiler). This does not happens in versions 0.13 and previous ones.
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