[
https://issues.apache.org/jira/browse/SPARK-41876?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Hyukjin Kwon resolved SPARK-41876.
----------------------------------
Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 40570
[https://github.com/apache/spark/pull/40570]
> Implement DataFrame `toLocalIterator`
> -------------------------------------
>
> Key: SPARK-41876
> URL: https://issues.apache.org/jira/browse/SPARK-41876
> Project: Spark
> Issue Type: Sub-task
> Components: Connect
> Affects Versions: 3.4.0
> Reporter: Sandeep Singh
> Assignee: Takuya Ueshin
> Priority: Major
> Fix For: 3.4.0
>
>
> {code:java}
> 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)
> ){code}
> {code:java}
> Traceback (most recent call last):
> File
> "/Users/s.singh/personal/spark-oss/python/pyspark/sql/tests/test_dataframe.py",
> line 1486, in test_to
> self.assertRaisesRegex(
> AssertionError: AnalysisException not raised by <lambda> {code}
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