[ https://issues.apache.org/jira/browse/ARROW-1863?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Uwe L. Korn resolved ARROW-1863. -------------------------------- Resolution: Fixed Issue resolved by pull request 1385 [https://github.com/apache/arrow/pull/1385] > [Python] PyObjectStringify could render bytes-like output for more types of > objects > ----------------------------------------------------------------------------------- > > Key: ARROW-1863 > URL: https://issues.apache.org/jira/browse/ARROW-1863 > Project: Apache Arrow > Issue Type: Bug > Components: C++, Python > Reporter: Xianjin YE > Assignee: Phillip Cloud > Labels: pull-request-available > Fix For: 0.8.0 > > > PyObjectStringify doesn't handle non-string(bytes or utf-8) type correctly. > Should use PyObject_Repr(or PyObject_Str) to get string representation of > PyObject. > {code:java} > struct ARROW_EXPORT PyObjectStringify { > OwnedRef tmp_obj; > const char* bytes; > Py_ssize_t size; > explicit PyObjectStringify(PyObject* obj) { > PyObject* bytes_obj; > if (PyUnicode_Check(obj)) { > bytes_obj = PyUnicode_AsUTF8String(obj); > tmp_obj.reset(bytes_obj); > bytes = PyBytes_AsString(bytes_obj); > size = PyBytes_GET_SIZE(bytes_obj); > } else if (PyBytes_Check(obj)) { > bytes = PyBytes_AsString(obj); > size = PyBytes_GET_SIZE(obj); > } else { > bytes = NULLPTR; > size = -1; > } > } > }; > {code} > should change to > {code:java} > struct ARROW_EXPORT PyObjectStringify { > OwnedRef tmp_obj; > const char* bytes; > Py_ssize_t size; > explicit PyObjectStringify(PyObject* obj) { > PyObject* bytes_obj; > if (PyUnicode_Check(obj)) { > bytes_obj = PyUnicode_AsUTF8String(obj); > tmp_obj.reset(bytes_obj); > bytes = PyBytes_AsString(bytes_obj); > size = PyBytes_GET_SIZE(bytes_obj); > } else if (PyBytes_Check(obj)) { > bytes = PyBytes_AsString(obj); > size = PyBytes_GET_SIZE(obj); > } else { > bytes_obj = PyObject_Repr(obj); > tmp_obj.reset(bytes_obj); > bytes = PyBytes_AsString(bytes_obj); > size = PyBytes_GET_SIZE(bytes_obj); > } > } > }; > {code} > How do this infect pyarrow? Minimal reproduction case: > {code:java} > import pyarrow > data = ['-10', '-5', {'a': 1}, '0', '5', '10'] > arr = pyarrow.array(data, type=pyarrow.string()) > [1] 64491 segmentation fault ipython > {code} > This case is found by my colleague. I would ask him to send a pr here. > cc [~wesmckinn] -- This message was sent by Atlassian JIRA (v6.4.14#64029)