[GitHub] [spark] risinga commented on a change in pull request #34359: [SPARK-36986][SQL] Improving external schema management flexibility on DataSet and StructType

[GitBox <gi...@apache.org>]

risinga commented on a change in pull request #34359:
URL: https://github.com/apache/spark/pull/34359#discussion_r760404271



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File path: sql/core/src/main/scala/org/apache/spark/sql/SparkSession.scala
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@@ -511,6 +511,20 @@ class SparkSession private(
     createDataset(data.asScala.toSeq)
   }
 
+  /**
+   * Creates a [[Dataset]] from an RDD of spark.sql.catalyst.InternalRow. This method allows
+   * the caller to create externally the InternalRow set, as we as define the schema externally.
+   *
+   * @since 3.3.0
+   */
+  def createDataset(data: RDD[InternalRow], schema: StructType): DataFrame = {

Review comment:
       @HyukjinKwon  I've sent an email to dev@spark.apache.org, as well as dev-subscribe@spark.apache.org and I've got no response. I can find the subject on the mailing lists http://mail-archives.apache.org/mod_mbox/spark-dev/202111.mbox/browser, neither I'm receiving any emails from them. Could you please point me to what I could be doing wrong?




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