cd9f49a2ae
## What changes were proposed in this pull request? This PR proposes to add a note that saying the length of a scalar Pandas UDF's `Series` is not of the whole input column but of the batch. We are fine for a group map UDF because the usage is different from our typical UDF but scalar UDFs might cause confusion with the normal UDF. For example, please consider this example: ```python from pyspark.sql.functions import pandas_udf, col, lit df = spark.range(1) f = pandas_udf(lambda x, y: len(x) + y, LongType()) df.select(f(lit('text'), col('id'))).show() ``` ``` +------------------+ |<lambda>(text, id)| +------------------+ | 1| +------------------+ ``` ```python from pyspark.sql.functions import udf, col, lit df = spark.range(1) f = udf(lambda x, y: len(x) + y, "long") df.select(f(lit('text'), col('id'))).show() ``` ``` +------------------+ |<lambda>(text, id)| +------------------+ | 4| +------------------+ ``` ## How was this patch tested? Manually built the doc and checked the output. Author: hyukjinkwon <gurwls223@gmail.com> Closes #20237 from HyukjinKwon/SPARK-22980. |
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.. | ||
__init__.py | ||
catalog.py | ||
column.py | ||
conf.py | ||
context.py | ||
dataframe.py | ||
functions.py | ||
group.py | ||
readwriter.py | ||
session.py | ||
streaming.py | ||
tests.py | ||
types.py | ||
udf.py | ||
utils.py | ||
window.py |