Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/8984#issuecomment-151611692
@shivaram as I was discussing with @sun-rui in #9218 - I think coltypes()
could probably handle complex type (JVM -> R) by mapping "map<string,int>" ->
"environment", "array<string>" -> "list" but this conversion is not perfect, at
least from R -> JVM.
I can have this
```
> e <- new.env()
> e[["abd"]] <- 1276
> e[["84798"]] <- "abc"
> l <- list(e)
> df <- createDataFrame(sqlContext, list(l))
> df
DataFrame[_1:map<string,string>]
```
So `env` supports mixed type values they are mapped to `map<string,
string>` on JVM.
In fact, this DataFrame doesn't seem to work properly
```
> head(df)
15/10/27 19:02:02 ERROR Executor: Exception in task 0.0 in stage 6.0 (TID 6)
scala.MatchError: 1276.0 (of class java.lang.Double)
at
org.apache.spark.sql.catalyst.CatalystTypeConverters$StringConverter$.toCatalystImpl(CatalystTypeConverters.scala:295)
```
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