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https://issues.apache.org/jira/browse/SPARK-37954?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-37954:
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Component/s: SQL
> old columns should not be available after select or drop
> --------------------------------------------------------
>
> Key: SPARK-37954
> URL: https://issues.apache.org/jira/browse/SPARK-37954
> Project: Spark
> Issue Type: Bug
> Components: PySpark, SQL
> Affects Versions: 3.0.1
> Reporter: Jean Bon
> Priority: Major
>
>
> {code:java}
> from pyspark.sql import SparkSession
> from pyspark.sql.functions import col as col
> spark = SparkSession.builder.appName('available_columns').getOrCreate()
> df = spark.range(5).select((col("id")+10).alias("id2"))
> assert df.columns==["id2"] #OK
> try:
> df.select("id")
> error_raise = False
> except:
> error_raise = True
> assert error_raise #OK
> df = df.drop("id") #should raise an error
> df.filter(col("id")!=2).count() #returns 4, should raise an error
> {code}
>
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