HyukjinKwon commented on code in PR #42513:
URL: https://github.com/apache/spark/pull/42513#discussion_r1302846694
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python/pyspark/sql/dataframe.py:
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@@ -3908,8 +3908,21 @@ def union(self, other: "DataFrame") -> "DataFrame":
Example 2: Combining two DataFrames with different schemas
>>> from pyspark.sql.functions import lit
- >>> df1 = spark.createDataFrame([("Alice", 1), ("Bob", 2)], ["name",
"id"])
- >>> df2 = spark.createDataFrame([(3, "Charlie"), (4, "Dave")], ["id",
"name"])
+ >>> from pyspark.sql.types import StructType, StructField, StringType
+ >>> schema1 = StructType(
Review Comment:
Can you also use a different type? e.g., `LongType` vs `IntegerType`.
Also, you can specify the type via DDL string format that I think is simpler.
e.g., `schema="v1 LONG, v2 INT"`
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