Ruifeng Zheng created SPARK-42032:
-------------------------------------
Summary: transform_key, transform_values doctest output have
different order
Key: SPARK-42032
URL: https://issues.apache.org/jira/browse/SPARK-42032
Project: Spark
Issue Type: Sub-task
Components: Connect, PySpark
Affects Versions: 3.4.0
Reporter: Ruifeng Zheng
not sure whether this should be fixed:
{code:java}
**********************************************************************
File "/Users/ruifeng.zheng/Dev/spark/python/pyspark/sql/connect/functions.py",
line 1623, in pyspark.sql.connect.functions.transform_keys
Failed example:
df.select(transform_keys(
"data", lambda k, _: upper(k)).alias("data_upper")
).show(truncate=False)
Expected:
+-------------------------+
|data_upper |
+-------------------------+
|{BAR -> 2.0, FOO -> -2.0}|
+-------------------------+
Got:
+-------------------------+
|data_upper |
+-------------------------+
|{FOO -> -2.0, BAR -> 2.0}|
+-------------------------+
<BLANKLINE>
**********************************************************************
File "/Users/ruifeng.zheng/Dev/spark/python/pyspark/sql/connect/functions.py",
line 1630, in pyspark.sql.connect.functions.transform_values
Failed example:
df.select(transform_values(
"data", lambda k, v: when(k.isin("IT", "OPS"), v + 10.0).otherwise(v)
).alias("new_data")).show(truncate=False)
Expected:
+---------------------------------------+
|new_data |
+---------------------------------------+
|{OPS -> 34.0, IT -> 20.0, SALES -> 2.0}|
+---------------------------------------+
Got:
+---------------------------------------+
|new_data |
+---------------------------------------+
|{IT -> 20.0, SALES -> 2.0, OPS -> 34.0}|
+---------------------------------------+
<BLANKLINE>
**********************************************************************
1 of 2 in pyspark.sql.connect.functions.transform_keys
1 of 2 in pyspark.sql.connect.functions.transform_values
{code}
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