Github user sun-rui commented on a diff in the pull request:
https://github.com/apache/spark/pull/7280#discussion_r34322948
--- Diff: R/pkg/inst/tests/test_sparkSQL.R ---
@@ -108,6 +108,14 @@ test_that("create DataFrame from RDD", {
expect_equal(count(df), 10)
expect_equal(columns(df), c("a", "b"))
expect_equal(dtypes(df), list(c("a", "int"), c("b", "string")))
+
+ localDF <- data.frame(name=c("John", "Smith", "Sarah"), age=c(19, 23,
18), height=c(164.10, 181.4, 173.7))
+ schema <- structType(structField("name", "string"), structField("age",
"integer"), structField("height", "float"))
+ df <- createDataFrame(sqlContext, localDF, schema)
--- End diff --
For user specified schema for createDataFrame, my point is we may not
support some DataTypes like byte, long, float, which is not natural to R users.
Or alternatively, from the view point of API parity with Scala, we support
these types but internally convert to R natural types, like:
byte -> integer
long -> double
float -> double
and print some warning message about the conversion.
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
