[jira] [Updated] (ARROW-7956) [Python] Memory leak in pyarrow functions .ipc.serialize_pandas/deserialize_pandas
[ https://issues.apache.org/jira/browse/ARROW-7956?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wes McKinney updated ARROW-7956: Fix Version/s: 1.0.0 > [Python] Memory leak in pyarrow functions > .ipc.serialize_pandas/deserialize_pandas > -- > > Key: ARROW-7956 > URL: https://issues.apache.org/jira/browse/ARROW-7956 > Project: Apache Arrow > Issue Type: Bug > Components: Python >Affects Versions: 0.15.0 >Reporter: Denis >Priority: Critical > Fix For: 1.0.0 > > Attachments: loans.parquet, pyarrow_mem_leak_test.py > > > Used python version is 3.7.4 (conda distribution) > OS: Ubunty 18.04 > pandas version is 0.24.2 > numpy version is 1.16.4 > > To reproduce the issue run the attached script pyarrow_mem_leak_test.py. Also > put the attached file loans.parquet to the folder of working directory. > > Also the reading and writing to parquet in memory do has memory leaks. To > reproduce this run function test_parquet_leak() from the attached file > pyarrow_mem_leak_test.py > The memory leak is 100% reproducible. -- This message was sent by Atlassian Jira (v8.3.4#803005)
[jira] [Updated] (ARROW-7956) [Python] Memory leak in pyarrow functions .ipc.serialize_pandas/deserialize_pandas
[ https://issues.apache.org/jira/browse/ARROW-7956?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wes McKinney updated ARROW-7956: Affects Version/s: (was: 0.16.0) > [Python] Memory leak in pyarrow functions > .ipc.serialize_pandas/deserialize_pandas > -- > > Key: ARROW-7956 > URL: https://issues.apache.org/jira/browse/ARROW-7956 > Project: Apache Arrow > Issue Type: Bug > Components: Python >Affects Versions: 0.15.0 >Reporter: Denis >Priority: Critical > Attachments: loans.parquet, pyarrow_mem_leak_test.py > > > Used python version is 3.7.4 (conda distribution) > OS: Ubunty 18.04 > pandas version is 0.24.2 > numpy version is 1.16.4 > > To reproduce the issue run the attached script pyarrow_mem_leak_test.py. Also > put the attached file loans.parquet to the folder of working directory. > > Also the reading and writing to parquet in memory do has memory leaks. To > reproduce this run function test_parquet_leak() from the attached file > pyarrow_mem_leak_test.py > The memory leak is 100% reproducible. -- This message was sent by Atlassian Jira (v8.3.4#803005)
[jira] [Updated] (ARROW-7956) [Python] Memory leak in pyarrow functions .ipc.serialize_pandas/deserialize_pandas
[ https://issues.apache.org/jira/browse/ARROW-7956?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wes McKinney updated ARROW-7956: Summary: [Python] Memory leak in pyarrow functions .ipc.serialize_pandas/deserialize_pandas (was: Memory leak in pyarrow functions .ipc.serialize_pandas/deserialize_pandas) > [Python] Memory leak in pyarrow functions > .ipc.serialize_pandas/deserialize_pandas > -- > > Key: ARROW-7956 > URL: https://issues.apache.org/jira/browse/ARROW-7956 > Project: Apache Arrow > Issue Type: Bug > Components: Python >Affects Versions: 0.15.0, 0.16.0 >Reporter: Denis >Priority: Critical > Attachments: loans.parquet, pyarrow_mem_leak_test.py > > > Used python version is 3.7.4 (conda distribution) > OS: Ubunty 18.04 > pandas version is 0.24.2 > numpy version is 1.16.4 > > To reproduce the issue run the attached script pyarrow_mem_leak_test.py. Also > put the attached file loans.parquet to the folder of working directory. > > Also the reading and writing to parquet in memory do has memory leaks. To > reproduce this run function test_parquet_leak() from the attached file > pyarrow_mem_leak_test.py > The memory leak is 100% reproducible. -- This message was sent by Atlassian Jira (v8.3.4#803005)
