Hossein Falaki created SPARK-12104:
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Summary: collect() does not handle multiple columns with same name
Key: SPARK-12104
URL: https://issues.apache.org/jira/browse/SPARK-12104
Project: Spark
Issue Type: Bug
Components: SparkR
Affects Versions: 1.6.0
Reporter: Hossein Falaki
Priority: Critical
This is a regression from Spark 1.5
Spark can produce DataFrames with identical names (e.g., after left outer
joins). In 1.5 when such a DataFrame was collected we ended up with an R
data.frame with modified column names:
{code}
> names(mySparkDF)
[1] "date" "name" "name"
> names(collect(mySparkDF))
[1] "date" "name" "name.1"
{code}
But in 1.6 only the first column is included in the collected R data.frame. I
think SparkR should continue the old behavior.
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