Github user adrian555 commented on the issue:
https://github.com/apache/spark/pull/22455
@falaki trying to understand what you were asking for. I know that `print`
takes some arguments like `digit` and `quote` that can further format the
output. `print` is for S3 object and `show` is for S4 object. So, are you
asking for `print.SparkDataFrame` function as follow
```
print.SparkDataFrame <- function(x, ...) {
argsList <- list(...)
if (!is.null(argsList$eager) && !argsList$eager) {
cols <- lapply(dtypes(x), function(l) {
paste(l, collapse = ":")
})
s <- paste(cols, collapse = ", ")
cat(paste(class(x), "[", s, "]\n", sep = ""))
} else {
show(x)
}
}
```
With this,
* `print(df)` will have the same behavior as `show(df)`.
* `print(df, eager=FALSE)` will continue to display just the SparkDataFrame
class info, even eager execution is enabled.
* `print(df, eager=TRUE)` will be the same as `show()` when eager execution
is enabled. But if eager execution is disable, the passed in `eager=TRUE` is
ignored. (This way, we guarantee only the session's SQLConf is in effect.)
Also, are you also thinking of passing the `maxNumRows` and `truncate` as
arguments to `print.SparkDataFrame` and replacing
`spark.sql.repl.eagerEval.maxNumRows` and `spark.sql.repl.eagerEval.truncate`?
Please let me know if this is on par with your thought then I will push a
commit.
Thanks.
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