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Posted to issues@spark.apache.org by "Suchintak Patnaik (Jira)" <ji...@apache.org> on 2019/10/28 13:34:00 UTC
[jira] [Updated] (SPARK-29621) Querying internal corrupt record
column should not be allowed in filter operation
[ https://issues.apache.org/jira/browse/SPARK-29621?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Suchintak Patnaik updated SPARK-29621:
--------------------------------------
Labels: PySpark SparkSQL (was: )
> 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.
> 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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