BryanCutler commented on issue #24614: [SPARK-27712][PySpark][SQL] Returns correct schema even under different column order when creating dataframe URL: https://github.com/apache/spark/pull/24614#issuecomment-493608601 The problem I when using a positional schema when constructing `Row`s using a dict is that the `Row` constructor sorts the fields, so any sense of position is lost. For example: This works ```python data = [Row(k=i, v=str(i)) for i in range(100)] rdd = spark.sparkContext.parallelize(data, 5) # field names can differ. df = rdd.toDF(" a: int, b: string ") ``` This fails ```python data = [Row(z=i, y=str(i)) for i in range(100)] rdd = spark.sparkContext.parallelize(data, 5) # field names can differ. df = rdd.toDF(" a: int, b: string ") ``` where the only difference is the field name from `Row`, so it really isn't positional.
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