[
https://issues.apache.org/jira/browse/SPARK-29621?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16962734#comment-16962734
]
Hyukjin Kwon commented on SPARK-29621:
--------------------------------------
the problem here is {{count()}} since internally it only needs to select
{{_corrupt_record}}, whereas {{filter(_corrupt_record).show()}} refers all
columns to show as output.
> 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}
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
