[jira] [Assigned] (SPARK-23380) Make toPandas fall back to Arrow optimization disabled when schema is not supported in the Arrow optimization

2018-02-10 Thread Apache Spark (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-23380?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-23380:


Assignee: (was: Apache Spark)

> Make toPandas fall back to Arrow optimization disabled when schema is not 
> supported in the Arrow optimization 
> --
>
> Key: SPARK-23380
> URL: https://issues.apache.org/jira/browse/SPARK-23380
> Project: Spark
>  Issue Type: Sub-task
>  Components: PySpark
>Affects Versions: 2.3.0
>Reporter: Hyukjin Kwon
>Priority: Major
>
> Seems we can check the schema ahead and fall back in toPandas.
> Please see this case below:
> {code}
> df = spark.createDataFrame([[{'a': 1}]])
> spark.conf.set("spark.sql.execution.arrow.enabled", "false")
> df.toPandas()
> spark.conf.set("spark.sql.execution.arrow.enabled", "true")
> df.toPandas()
> {code}
> {code}
> ...
> py4j.protocol.Py4JJavaError: An error occurred while calling 
> o42.collectAsArrowToPython.
> ...
> java.lang.UnsupportedOperationException: Unsupported data type: 
> map
> {code}
> In case of {{createDataFrame}}, we fall back to make this at least working 
> even though the optimisation is disabled.
> {code}
> df = spark.createDataFrame([[{'a': 1}]])
> spark.conf.set("spark.sql.execution.arrow.enabled", "false")
> pdf = df.toPandas()
> spark.createDataFrame(pdf).show()
> spark.conf.set("spark.sql.execution.arrow.enabled", "true")
> spark.createDataFrame(pdf).show()
> {code}
> {code}
> ...
> ... UserWarning: Arrow will not be used in createDataFrame: Error inferring 
> Arrow type ...
> ++
> |  _1|
> ++
> |[a -> 1]|
> ++
> {code}



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[jira] [Assigned] (SPARK-23380) Make toPandas fall back to Arrow optimization disabled when schema is not supported in the Arrow optimization

2018-02-10 Thread Apache Spark (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-23380?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-23380:


Assignee: Apache Spark

> Make toPandas fall back to Arrow optimization disabled when schema is not 
> supported in the Arrow optimization 
> --
>
> Key: SPARK-23380
> URL: https://issues.apache.org/jira/browse/SPARK-23380
> Project: Spark
>  Issue Type: Sub-task
>  Components: PySpark
>Affects Versions: 2.3.0
>Reporter: Hyukjin Kwon
>Assignee: Apache Spark
>Priority: Major
>
> Seems we can check the schema ahead and fall back in toPandas.
> Please see this case below:
> {code}
> df = spark.createDataFrame([[{'a': 1}]])
> spark.conf.set("spark.sql.execution.arrow.enabled", "false")
> df.toPandas()
> spark.conf.set("spark.sql.execution.arrow.enabled", "true")
> df.toPandas()
> {code}
> {code}
> ...
> py4j.protocol.Py4JJavaError: An error occurred while calling 
> o42.collectAsArrowToPython.
> ...
> java.lang.UnsupportedOperationException: Unsupported data type: 
> map
> {code}
> In case of {{createDataFrame}}, we fall back to make this at least working 
> even though the optimisation is disabled.
> {code}
> df = spark.createDataFrame([[{'a': 1}]])
> spark.conf.set("spark.sql.execution.arrow.enabled", "false")
> pdf = df.toPandas()
> spark.createDataFrame(pdf).show()
> spark.conf.set("spark.sql.execution.arrow.enabled", "true")
> spark.createDataFrame(pdf).show()
> {code}
> {code}
> ...
> ... UserWarning: Arrow will not be used in createDataFrame: Error inferring 
> Arrow type ...
> ++
> |  _1|
> ++
> |[a -> 1]|
> ++
> {code}



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