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https://issues.apache.org/jira/browse/SPARK-23380?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon reassigned SPARK-23380:
------------------------------------
Assignee: Hyukjin Kwon
> Adds a conf for Arrow fallback in toPandas/createDataFrame with Pandas
> DataFrame
> --------------------------------------------------------------------------------
>
> 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: Hyukjin Kwon
> Priority: Major
> Fix For: 2.4.0
>
>
> 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<string,bigint>
> {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}
> We need to match the behaviours and add a configuration to control the
> behaviour.
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