schema = StructType(
[StructField("i", StringType(), True), StructField("j", IntegerType(), True)]
)
df = self.spark.createDataFrame([("a", 1)], schema)
schema1 = StructType([StructField("j", StringType()), StructField("i", StringType())])
df1 = df.to(schema1)
self.assertEqual(schema1, df1.schema)
self.assertEqual(df.count(), df1.count())
schema2 = StructType([StructField("j", LongType())])
df2 = df.to(schema2)
self.assertEqual(schema2, df2.schema)
self.assertEqual(df.count(), df2.count())
schema3 = StructType([StructField("struct", schema1, False)])
df3 = df.select(struct("i", "j").alias("struct")).to(schema3)
self.assertEqual(schema3, df3.schema)
self.assertEqual(df.count(), df3.count())
# incompatible field nullability
schema4 = StructType([StructField("j", LongType(), False)])
self.assertRaisesRegex(
AnalysisException, "NULLABLE_COLUMN_OR_FIELD", lambda: df.to(schema4)
)
Major 