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Posted to issues@spark.apache.org by "Wayne Zhang (JIRA)" <ji...@apache.org> on 2017/02/06 07:44:41 UTC

[jira] [Created] (SPARK-19473) Several DataFrame Method still fail with dot in column names

Wayne Zhang created SPARK-19473:
-----------------------------------

             Summary: Several DataFrame Method still fail with dot in column names 
                 Key: SPARK-19473
                 URL: https://issues.apache.org/jira/browse/SPARK-19473
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 2.1.0
            Reporter: Wayne Zhang


Here is an example:
{code}
val df = Seq((1.0, 2.0), (2.0, 3.0)).toDF("y.a", "x.b")
df.select("y.a")
org.apache.spark.sql.AnalysisException: cannot resolve '`y.a`' given input columns: [y.a, x.b];;

df.withColumn("d", col("y.a") + col("x.b"))
org.apache.spark.sql.AnalysisException: cannot resolve '`y.a`' given input columns: [y.a, x.b];;
{code}

We can use backquote to avoid the errors, but this behavior is affecting some downstream work such as RFormula and SparkR. 



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