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Posted to issues@spark.apache.org by "Neil Dewar (JIRA)" <ji...@apache.org> on 2016/07/10 02:34:10 UTC

[jira] [Created] (SPARK-16466) names() function allows creation of column name containing "-". filter() function subsequently fails

Neil Dewar created SPARK-16466:
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             Summary: names() function allows creation of column name containing "-".  filter() function subsequently fails
                 Key: SPARK-16466
                 URL: https://issues.apache.org/jira/browse/SPARK-16466
             Project: Spark
          Issue Type: Bug
          Components: SparkR
    Affects Versions: 1.6.1
         Environment: Databricks.com
            Reporter: Neil Dewar
            Priority: Minor


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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