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  1. Spark
  2. SPARK-16466

names() function allows creation of column name containing "-". filter() function subsequently fails

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Details

    • Bug
    • Status: Resolved
    • Minor
    • Resolution: Not A Problem
    • 1.6.1
    • 1.6.2
    • SparkR
    • None
    • Databricks.com

    Description

      If I assign names to a DataFrame using the names() function, it allows the introduction of "-" characters that caused the filter() function to subsequently fail. I am unclear if other special characters cause similar problems.

      Example:
      sdfCar <- createDataFrame(sqlContext, mtcars)
      names(sdfCar) <- c("mpg", "cyl", "disp", "hp", "drat", "wt", "qsec", "vs", "am", "gear", "carb-count") # note: carb renamed to carb-count
      sdfCar3 <- filter(sdfCar, carb-count==4)

      Above fails with error: failure: identifier expected carb-count==4. This logic appears to be assuming that the "-" in the column name is a minus sign.

      I am unsure if the problem here is that "" is illegal in a column name, or if the filter function should be able to handle "" in a column name, but one or the other must be wrong.

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            Unassigned Unassigned
            neil@dewar-us.com Neil Dewar
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              Created:
              Updated:
              Resolved: