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Posted to issues@spark.apache.org by "Suchintak Patnaik (Jira)" <ji...@apache.org> on 2019/10/28 13:33:00 UTC

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

Suchintak Patnaik created SPARK-29621:
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             Summary: 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


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.

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



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