GitHub user actuaryzhang opened a pull request:
https://github.com/apache/spark/pull/17105
[SPARK-19773][SparkR] SparkDataFrame should not allow duplicate names
## What changes were proposed in this pull request?
SparkDataFrame in SparkR seems to accept duplicate names at creation, but
incurs error when calling methods downstream. For example, we can do:
```
l <- list(list(1, 2), list(3, 4))
df <- createDataFrame(l, c("a", "a"))
head(df)
```
But an error occurs when we do `df$a = df$a * 2.0`.
In this PR, I add validity check for duplicate names at initialization.
## How was this patch tested?
new tests.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/actuaryzhang/spark sparkRDataFrameValid
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/17105.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #17105
----
commit f0f2dbb0cdcb1ba5f43a517b802b1a75f4f6563c
Author: actuaryzhang <[email protected]>
Date: 2017-02-28T19:25:55Z
add dataframe validity check
commit 21b8b4d87b67832b51fffaa0b84b3a05f5f66dcc
Author: actuaryzhang <[email protected]>
Date: 2017-02-28T20:36:05Z
add tests
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