felixcheung commented on a change in pull request #23969: [SPARK-26920][R]
Deduplicate type checking across Arrow optimization in SparkR
URL: https://github.com/apache/spark/pull/23969#discussion_r263989081
##########
File path: R/pkg/R/SQLContext.R
##########
@@ -197,17 +197,40 @@ writeToFileInArrow <- function(fileName, rdf,
numPartitions) {
}
}
-checkTypeRequirementForArrow <- function(dataHead, schema) {
- # Currenty Arrow optimization does not support raw for now.
- # Also, it does not support explicit float type set by users. It leads to
- # incorrect conversion. We will fall back to the path without Arrow
optimization.
- if (any(sapply(dataHead, is.raw))) {
- stop("Arrow optimization with R DataFrame does not support raw type yet.")
- }
- if (inherits(schema, "structType")) {
- if (any(sapply(schema$fields(), function(x) x$dataType.toString() ==
"FloatType"))) {
- stop("Arrow optimization with R DataFrame does not support FloatType
type yet.")
+getSchema <- function(schema, firstRow = NULL, rdd = NULL) {
Review comment:
I think that's fine
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