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https://issues.apache.org/jira/browse/ARROW-2354?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16414151#comment-16414151
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ASF GitHub Bot commented on ARROW-2354:
---------------------------------------
cpcloud commented on a change in pull request #1794: ARROW-2354: [C++] Make
PyDecimal_Check() faster
URL: https://github.com/apache/arrow/pull/1794#discussion_r177166321
##########
File path: cpp/src/arrow/python/helpers.cc
##########
@@ -227,12 +227,16 @@ Status UInt64FromPythonInt(PyObject* obj, uint64_t* out)
{
}
bool PyDecimal_Check(PyObject* obj) {
- // TODO(phillipc): Is this expensive?
- OwnedRef Decimal;
- Status status = ImportDecimalType(&Decimal);
- DCHECK_OK(status);
- const int32_t result = PyObject_IsInstance(obj, Decimal.obj());
- DCHECK_NE(result, -1) << " error during PyObject_IsInstance check";
+ static OwnedRef decimal_type;
+ if (!decimal_type.obj()) {
+ Status status = ImportDecimalType(&decimal_type);
+ DCHECK_OK(status);
+ DCHECK(PyType_Check(decimal_type.obj()));
+ }
+ // PyObject_IsInstance() is slower as it has to check for virtual subclasses
Review comment:
This was the cause of the performance regression, and not importing over and
over? Or was it both?
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> [C++] PyDecimal_Check() is much too slow
> ----------------------------------------
>
> Key: ARROW-2354
> URL: https://issues.apache.org/jira/browse/ARROW-2354
> Project: Apache Arrow
> Issue Type: Bug
> Components: C++, Python
> Affects Versions: 0.9.0
> Reporter: Antoine Pitrou
> Assignee: Antoine Pitrou
> Priority: Major
> Labels: pull-request-available
>
> See https://github.com/apache/arrow/issues/1792
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