Takuya Ueshin created SPARK-42899: ------------------------------------- Summary: DataFrame.to(schema) fails with the schema of itself. Key: SPARK-42899 URL: https://issues.apache.org/jira/browse/SPARK-42899 Project: Spark Issue Type: Bug Components: SQL Affects Versions: 3.4.0 Reporter: Takuya Ueshin
{{DataFrame.to(schema)}} fails with the schema of itself, when it contains non-nullable nested field in nullable field: {code:scala} scala> val df = spark.sql("VALUES (1, STRUCT(1 as i)), (NULL, NULL) as t(a, b)") df: org.apache.spark.sql.DataFrame = [a: int, b: struct<i: int>] scala> df.printSchema() root |-- a: integer (nullable = true) |-- b: struct (nullable = true) | |-- i: integer (nullable = false) scala> df.to(df.schema) org.apache.spark.sql.AnalysisException: [NULLABLE_COLUMN_OR_FIELD] Column or field `b`.`i` is nullable while it's required to be non-nullable. {code} -- This message was sent by Atlassian Jira (v8.20.10#820010) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org