Takuya Ueshin created SPARK-31945:
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Summary: Make more cache enable for Python UDFs.
Key: SPARK-31945
URL: https://issues.apache.org/jira/browse/SPARK-31945
Project: Spark
Issue Type: Improvement
Components: PySpark
Affects Versions: 3.0.0
Reporter: Takuya Ueshin
Currently the cache manager doesn't use the cache for {{udf}} if the {{udf}} is
created again even if the functions is the same.
{code:python}
>>> func = lambda x: x
>>> df = spark.range(1)
>>> df.select(udf(func)("id")).cache()
>>> df.select(udf(func)("id")).explain()
== Physical Plan ==
*(2) Project [pythonUDF0#14 AS <lambda>(id)#12]
+- BatchEvalPython [<lambda>(id#0L)], [pythonUDF0#14]
+- *(1) Range (0, 1, step=1, splits=12)
{code}
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