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https://issues.apache.org/jira/browse/SPARK-20681?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xi Wang closed SPARK-20681.
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Resolution: Fixed
> DataFram.Drop doesn't take effective, neither does error
>
>
> Key: SPARK-20681
> URL: https://issues.apache.org/jira/browse/SPARK-20681
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 2.1.0
>Reporter: Xi Wang
>Priority: Critical
>
> I am running the following code trying to drop nested columns, but it
> doesn't work, it doesn't return error either.
> *I read the DF from this json:*
> {'parent':{'child':{'grandchild':{'val':'1',' val_to_be_deleted':'0'
> scala> spark.read.format("json").load("c:/tmp/spark_issue.json")
> res0: org.apache.spark.sql.DataFrame = [father: struct struct>>]
> *read the df:*
> scala> res0.printSchema
> root
> |-- parent: struct (nullable = true)
> ||-- child: struct (nullable = true)
> |||-- grandchild: struct (nullable = true)
> ||||-- val: long (nullable = true)
> ||||-- val_to_be_deleted: long (nullable = true)
> *drop the column (I tried different ways, "quote", `back-tick`, col(object)
> ...) column remains anyway:*
> scala> res0.drop(col("father.child.grandchild.val_to_be_deleted")).printSchema
> root
> |-- father: struct (nullable = true)
> ||-- child: struct (nullable = true)
> |||-- grandchild: struct (nullable = true)
> ||||-- val: long (nullable = true)
> ||||-- val_to_be_deleted: long (nullable = true)
> scala> res0.drop("father.child.grandchild.val_to_be_deleted").printSchema
> root
> |-- father: struct (nullable = true)
> ||-- child: struct (nullable = true)
> |||-- grandchild: struct (nullable = true)
> ||||-- val: long (nullable = true)
> ||||-- val_to_be_deleted: long (nullable = true)
> Any help is appreciated.
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