viirya commented on code in PR #53232:
URL: https://github.com/apache/spark/pull/53232#discussion_r2567228935
##########
mllib/src/main/scala/org/apache/spark/ml/util/ReadWrite.scala:
##########
@@ -1142,4 +1143,31 @@ private[spark] object ReadWriteUtils {
spark.read.parquet(path).as[T].collect()
}
}
+
+ def saveDataFrame(path: String, df: DataFrame): Unit = {
+ if (localSavingModeState.get()) {
+ val filePath = Paths.get(path)
+ Files.createDirectories(filePath.getParent)
+
+ df match {
+ case d: org.apache.spark.sql.classic.DataFrame =>
+ ArrowFileReadWrite.save(d, path)
+ case _ => throw new UnsupportedOperationException("Unsupported
dataframe type")
+ }
+ } else {
+ df.write.parquet(path)
+ }
+ }
+
+ def loadDataFrame(path: String, spark: SparkSession): DataFrame = {
+ if (localSavingModeState.get()) {
+ spark match {
+ case s: org.apache.spark.sql.classic.SparkSession =>
+ ArrowFileReadWrite.load(s, path)
+ case _ => throw new UnsupportedOperationException("Unsupported session
type")
+ }
+ } else {
+ spark.read.parquet(path)
+ }
+ }
Review Comment:
Hmm, even it is just a temporary session file, is there any reason not to
use Parquet but Arrow file format?
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
