[jira] [Commented] (SPARK-40376) `np.bool` will be deprecated

2022-09-07 Thread Elhoussine Talab (Jira)


[ 
https://issues.apache.org/jira/browse/SPARK-40376?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17601311#comment-17601311
 ] 

Elhoussine Talab commented on SPARK-40376:
--

Thanks [~srowen] 

> `np.bool` will be deprecated
> 
>
> Key: SPARK-40376
> URL: https://issues.apache.org/jira/browse/SPARK-40376
> Project: Spark
>  Issue Type: Improvement
>  Components: Optimizer
>Affects Versions: 3.3.0
>Reporter: Elhoussine Talab
>Priority: Trivial
>
> Using `np.bool` generates this warning: 
> {quote}
> UserWarning: toPandas attempted Arrow optimization because 
> 'spark.sql.execution.arrow.pyspark.enabled' is set to true, but has reached 
> the error below and can not continue. Note that 
> 'spark.sql.execution.arrow.pyspark.fallback.enabled' does not have an effect 
> on failures in the middle of computation.
> 3070E                     `np.bool` is a deprecated alias for the builtin 
> `bool`. To silence this warning, use `bool` by itself. Doing this will not 
> modify any behavior and is safe. If you specifically wanted the numpy scalar 
> type, use `np.bool_` here.
> 3071E                   Deprecated in NumPy 1.20; for more details and 
> guidance: [https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations]
> {quote}
>  
> See Numpy's deprecation statement here: 
> [https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations]



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[jira] [Updated] (SPARK-40376) `np.bool` will be deprecated

2022-09-07 Thread Elhoussine Talab (Jira)


 [ 
https://issues.apache.org/jira/browse/SPARK-40376?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Elhoussine Talab updated SPARK-40376:
-
Description: 
Using `np.bool` generates this warning: 
{quote}
UserWarning: toPandas attempted Arrow optimization because 
'spark.sql.execution.arrow.pyspark.enabled' is set to true, but has reached the 
error below and can not continue. Note that 
'spark.sql.execution.arrow.pyspark.fallback.enabled' does not have an effect on 
failures in the middle of computation.
3070E                     `np.bool` is a deprecated alias for the builtin 
`bool`. To silence this warning, use `bool` by itself. Doing this will not 
modify any behavior and is safe. If you specifically wanted the numpy scalar 
type, use `np.bool_` here.
3071E                   Deprecated in NumPy 1.20; for more details and 
guidance: [https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations]


{quote}
 

See Numpy's deprecation statement here: 
[https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations]

  was:
Using `np.bool` generates this warning: 

```
UserWarning: toPandas attempted Arrow optimization because 
'spark.sql.execution.arrow.pyspark.enabled' is set to true, but has reached the 
error below and can not continue. Note that 
'spark.sql.execution.arrow.pyspark.fallback.enabled' does not have an effect on 
failures in the middle of computation.
3070E                     `np.bool` is a deprecated alias for the builtin 
`bool`. To silence this warning, use `bool` by itself. Doing this will not 
modify any behavior and is safe. If you specifically wanted the numpy scalar 
type, use `np.bool_` here.
3071E                   Deprecated in NumPy 1.20; for more details and 
guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
```

 

See Numpy's deprecation statement here: 
https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations


> `np.bool` will be deprecated
> 
>
> Key: SPARK-40376
> URL: https://issues.apache.org/jira/browse/SPARK-40376
> Project: Spark
>  Issue Type: Bug
>  Components: Optimizer
>Affects Versions: 3.3.0
>Reporter: Elhoussine Talab
>Priority: Major
>
> Using `np.bool` generates this warning: 
> {quote}
> UserWarning: toPandas attempted Arrow optimization because 
> 'spark.sql.execution.arrow.pyspark.enabled' is set to true, but has reached 
> the error below and can not continue. Note that 
> 'spark.sql.execution.arrow.pyspark.fallback.enabled' does not have an effect 
> on failures in the middle of computation.
> 3070E                     `np.bool` is a deprecated alias for the builtin 
> `bool`. To silence this warning, use `bool` by itself. Doing this will not 
> modify any behavior and is safe. If you specifically wanted the numpy scalar 
> type, use `np.bool_` here.
> 3071E                   Deprecated in NumPy 1.20; for more details and 
> guidance: [https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations]
> {quote}
>  
> See Numpy's deprecation statement here: 
> [https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations]



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[jira] [Created] (SPARK-40376) `np.bool` will be deprecated

2022-09-07 Thread Elhoussine Talab (Jira)
Elhoussine Talab created SPARK-40376:


 Summary: `np.bool` will be deprecated
 Key: SPARK-40376
 URL: https://issues.apache.org/jira/browse/SPARK-40376
 Project: Spark
  Issue Type: Bug
  Components: Optimizer
Affects Versions: 3.3.0
Reporter: Elhoussine Talab


Using `np.bool` generates this warning: 

```
UserWarning: toPandas attempted Arrow optimization because 
'spark.sql.execution.arrow.pyspark.enabled' is set to true, but has reached the 
error below and can not continue. Note that 
'spark.sql.execution.arrow.pyspark.fallback.enabled' does not have an effect on 
failures in the middle of computation.
3070E                     `np.bool` is a deprecated alias for the builtin 
`bool`. To silence this warning, use `bool` by itself. Doing this will not 
modify any behavior and is safe. If you specifically wanted the numpy scalar 
type, use `np.bool_` here.
3071E                   Deprecated in NumPy 1.20; for more details and 
guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
```

 

See Numpy's deprecation statement here: 
https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations



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