Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/22954#discussion_r232473643
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/api/r/SQLUtils.scala
---
@@ -225,4 +226,25 @@ private[sql] object SQLUtils extends Logging {
}
sparkSession.sessionState.catalog.listTables(db).map(_.table).toArray
}
+
+ /**
+ * R callable function to read a file in Arrow stream format and create
a `RDD`
+ * using each serialized ArrowRecordBatch as a partition.
+ */
+ def readArrowStreamFromFile(
+ sparkSession: SparkSession,
+ filename: String): JavaRDD[Array[Byte]] = {
+ ArrowConverters.readArrowStreamFromFile(sparkSession.sqlContext,
filename)
--- End diff --
Hmhmhm .. yea. What I was trying to do is to add SQL related codes called
in R from JVM, into here when they are not official APIs in order to avoid, we
change the internal APIs within Scala, and it causes R test failure. I was
trying to do the similar things within PySpark side.
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