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https://issues.apache.org/jira/browse/ARROW-2357?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16415481#comment-16415481
]
ASF GitHub Bot commented on ARROW-2357:
---------------------------------------
pitrou commented on issue #1798: ARROW-2357: [Python] Add microbenchmark for
PandasObjectIsNull()
URL: https://github.com/apache/arrow/pull/1798#issuecomment-376498987
Also the output of other decimal-enabled benchmarks:
```
[ 14.29%] ··· Running convert_builtins.ConvertArrayToPyList.time_convert
ok
[ 14.29%] ····
============ =============
type
------------ -------------
int32 20.1±0.06ms
uint32 21.0±0.05ms
int64 20.8±0.2ms
uint64 21.5±0.2ms
float32 20.2±0.2ms
float64 20.8±0.08ms
bool 19.4±0.1ms
decimal 184±0.2ms
binary 22.3±0.3ms
binary10 22.0±0.2ms
ascii 35.3±0.1ms
unicode 76.2±0.2ms
int64 list 183±0.2ms
struct 324±2ms
============ =============
[ 28.57%] ··· Running convert_builtins.ConvertPyListToArray.time_convert
ok
[ 28.57%] ····
==================== =============
type
-------------------- -------------
int32 5.51±0.07ms
uint32 5.42±0.1ms
int64 6.11±0.1ms
uint64 4.96±0.09ms
float32 5.18±0.03ms
float64 5.19±0.04ms
bool 4.28±0.01ms
decimal 187±0.4ms
binary 8.18±0.1ms
binary10 8.39±0.1ms
ascii 13.1±0.3ms
unicode 30.0±0.6ms
int64 list 52.8±0.5ms
struct 31.1±2ms
struct from tuples 30.4±2ms
==================== =============
[ 42.86%] ··· Running convert_builtins.InferPyListToArray.time_infer
ok
[ 42.86%] ····
============ =============
type
------------ -------------
int64 11.7±0.1ms
float64 10.4±0.07ms
bool 9.35±0.03ms
decimal 381±0.5ms
binary 14.5±0.1ms
ascii 19.8±0.2ms
unicode 37.6±0.6ms
int64 list 101±0.07ms
============ =============
```
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> Benchmark PandasObjectIsNull
> ----------------------------
>
> Key: ARROW-2357
> URL: https://issues.apache.org/jira/browse/ARROW-2357
> Project: Apache Arrow
> Issue Type: Bug
> Components: C++
> Affects Versions: 0.9.0
> Reporter: Phillip Cloud
> Assignee: Antoine Pitrou
> Priority: Major
> Labels: pull-request-available
> Fix For: 0.10.0
>
>
> This is a follow-up to ARROW-2354 ([C++] Make PyDecimal_Check() faster). We
> should benchmark {{PandasObjectIsNull}} as it gets called in many of our
> conversion routines in tight loops.
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