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Posted to issues@spark.apache.org by "Liang-Chi Hsieh (JIRA)" <ji...@apache.org> on 2017/01/14 06:32:26 UTC
[jira] [Created] (SPARK-19223) InputFileBlockHolder doesn't work
with Python UDF for datasource other than FileFormat
Liang-Chi Hsieh created SPARK-19223:
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Summary: InputFileBlockHolder doesn't work with Python UDF for datasource other than FileFormat
Key: SPARK-19223
URL: https://issues.apache.org/jira/browse/SPARK-19223
Project: Spark
Issue Type: Bug
Components: PySpark, SQL
Reporter: Liang-Chi Hsieh
For the datasource other than FileFormat, such as spark-xml which is based on BaseRelation and uses HadoopRDD, NewHadoopRDD, InputFileBlockHolder doesn't work with Python UDF.
The method to reproduce it is, running the following codes with {{bin/pyspark --packages com.databricks:spark-xml_2.11:0.4.1}}:
{code}
from pyspark.sql.functions import udf,input_file_name
from pyspark.sql.types import StringType
from pyspark.sql import SparkSession
def filename(path):
return path
session = SparkSession.builder.appName('APP').getOrCreate()
session.udf.register('sameText',filename)
sameText = udf(filename, StringType())
df = session.read.format('xml').load('a.xml', rowTag='root').select('*',input_file_name().alias('file'))
df.select('file').show() // works
df.select(sameText(df['file'])).show() // returns empty content
{code}
a.xml:
{code}
<root>
<x>TEXT</x>
<y>TEXT2</y>
</root>
{code}
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