[jira] [Resolved] (SPARK-29621) Querying internal corrupt record column should not be allowed in filter operation

["Hyukjin Kwon (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-29621?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-29621.
----------------------------------
    Resolution: Not A Problem

> Querying internal corrupt record column should not be allowed in filter operation
> ---------------------------------------------------------------------------------
>
>                 Key: SPARK-29621
>                 URL: https://issues.apache.org/jira/browse/SPARK-29621
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark
>    Affects Versions: 2.3.0
>            Reporter: Suchintak Patnaik
>            Priority: Major
>              Labels: PySpark, SparkSQL
>
> As per *https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/csv/CSVFileFormat.scala#L119-L126)*,
> _"Since Spark 2.3, the queries from raw JSON/CSV files are disallowed when the referenced columns only include the internal corrupt record column"_
> But it's allowing while querying only the internal corrupt record column in case of *filter* operation.
> {code}
> from pyspark.sql.types import *
> schema = StructType([
>     StructField("_corrupt_record", StringType(), False),
>     StructField("Name", StringType(), False),
>     StructField("Colour", StringType(), True),
>     StructField("Price", IntegerType(), True),
>     StructField("Quantity", IntegerType(), True)])
> df = spark.read.csv("fruit.csv", schema=schema, mode="PERMISSIVE")
> df.filter(df._corrupt_record.isNotNull()).show()  # Allowed
> {code}



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