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https://issues.apache.org/jira/browse/SPARK-19223?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-19223:
------------------------------------
Assignee: Apache Spark
> 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
> Assignee: Apache Spark
>
> 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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