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https://issues.apache.org/jira/browse/SPARK-16210?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-16210.
----------------------------------
Resolution: Cannot Reproduce
I can't reproduce this too
{code}
scala> val rdd = sc.makeRDD("""{"x.y": 5, "abc": 10}""" :: Nil)
rdd: org.apache.spark.rdd.RDD[String] = ParallelCollectionRDD[5] at makeRDD at
<console>:24
scala> spark.read.json(rdd).drop("abc")
res6: org.apache.spark.sql.DataFrame = [x.y: bigint]
{code}
and I am going to resolve this JIRA as it seems it complies this
{quote}
For issues that can't be reproduced against master as reported, resolve as
Cannot Reproduce
{quote}
in wiki https://cwiki.apache.org/confluence/display/SPARK/Contributing+to+Spark
> DataFrame.drop(colName) fails if another column has a period in its name
> ------------------------------------------------------------------------
>
> Key: SPARK-16210
> URL: https://issues.apache.org/jira/browse/SPARK-16210
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.6.1
> Environment: Spark 1.6.1 on Databricks
> Reporter: Simeon Simeonov
> Labels: dataframe, sql
>
> The following code fails with {{org.apache.spark.sql.AnalysisException:
> cannot resolve 'x.y' given input columns: [abc, x.y]}} because of the way
> {{drop()}} uses {{select()}} under the covers.
> {code}
> val rdd = sc.makeRDD("""{"x.y": 5, "abc": 10}""" :: Nil)
> sqlContext.read.json(rdd).drop("abc")
> {code}
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