Github user CHOIJAEHONG1 commented on the pull request:
https://github.com/apache/spark/pull/7494#issuecomment-122643950
I am not sure about `readString`, but the teatcase, which verifies the
intactness of unicode characters in a native dataframe making a round trip to
Spark's DataFrame, failed. There is something underneath.
```
1. Failure(@test_sparkSQL.R#438): collect() support Unicode characters
---------
collect(where(df2, df2$name == "\346\202\250\345\245\275"))[[2]] not equal
to "\346\202\250\345\245\275"
1 string mismatches:
x[1]: "\346\202\250\345\245\275"
y[1]: "<e6><82><a8><e5><a5><bd>"
```
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