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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2021/05/12 04:12:00 UTC
[jira] [Created] (SPARK-35382) Fix lambda variable name issues in
nested DataFrame functions in Python APIs
Hyukjin Kwon created SPARK-35382:
------------------------------------
Summary: Fix lambda variable name issues in nested DataFrame functions in Python APIs
Key: SPARK-35382
URL: https://issues.apache.org/jira/browse/SPARK-35382
Project: Spark
Issue Type: Bug
Components: PySpark
Affects Versions: 3.1.1
Reporter: Hyukjin Kwon
Python side also has the same issue as SPARK-34794
{code}
from pyspark.sql.functions import *
df = sql("SELECT array(1, 2, 3) as numbers, array('a', 'b', 'c') as letters")
df.select(
transform(
"numbers",
lambda n: transform("letters", lambda l: struct(n.alias("n"), l.alias("l")))
)
).show()
{code}
{code}
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|transform(numbers, lambdafunction(transform(letters, lambdafunction(struct(namedlambdavariable() AS n, namedlambdavariable() AS l), namedlambdavariable())), namedlambdavariable()))|
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| [[{a, a}, {b, b},...|
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
{code}
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