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https://issues.apache.org/jira/browse/SPARK-37077?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Maciej Szymkiewicz resolved SPARK-37077.
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Fix Version/s: 3.3.0
Resolution: Fixed
Issue resolved by pull request 34146
[https://github.com/apache/spark/pull/34146]
> Annotations for pyspark.sql.context.SQLContext.createDataFrame are broken
> -------------------------------------------------------------------------
>
> Key: SPARK-37077
> URL: https://issues.apache.org/jira/browse/SPARK-37077
> Project: Spark
> Issue Type: Improvement
> Components: PySpark
> Affects Versions: 3.3.0
> Reporter: Maciej Szymkiewicz
> Assignee: Maciej Szymkiewicz
> Priority: Major
> Fix For: 3.3.0
>
>
> During migration from stubs to inline annotations, variants taking {{RDD}}
> where incorrectly remove. As a result
>
> {code:python}
> from pyspark.sql import SQLContext, SparkSession
> from pyspark import SparkContext
> sc = SparkContext.getOrCreate()
> sqlContext= SQLContext(sc)
> sqlContext.createDataFrame(sc.parallelize([(1, 2)]))
> {code}
> although valid, no longer type checks
> {code}
> main.py:7: error: No overload variant of "createDataFrame" of "SQLContext"
> matches argument type "RDD[Tuple[int, int]]"
> main.py:7: note: Possible overload variants:
> main.py:7: note: def [RowLike in (List[Any], Tuple[Any, ...], Row)]
> createDataFrame(self, data: Iterable[RowLike], samplingRatio: Optional[float]
> = ...) -> DataFrame
> main.py:7: note: def [RowLike in (List[Any], Tuple[Any, ...], Row)]
> createDataFrame(self, data: Iterable[RowLike], schema: Union[List[str],
> Tuple[str, ...]] = ..., verifySchema: bool = ...) -> DataFrame
> main.py:7: note: def createDataFrame(self, data: DataFrameLike,
> samplingRatio: Optional[float] = ...) -> DataFrame
> main.py:7: note: <3 more non-matching overloads not shown>
> Found 1 error in 1 file (checked 1 source file)
> {code}
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