[SPARK-16588][SQL] Deprecate monotonicallyIncreasingId in Scala/Java

This patch deprecates monotonicallyIncreasingId in Scala/Java, as done in Python.

This patch was originally written by HyukjinKwon. Closes #14236.

1 files changed, 2 insertions, 2 deletions

diff --git a/mllib/src/main/scala/org/apache/spark/ml/clustering/LDA.scala b/mllib/src/main/scala/org/apache/spark/ml/clustering/LDA.scala
index 778cd0fee7..034f2c3fa2 100644
--- a/mllib/src/main/scala/org/apache/spark/ml/clustering/LDA.scala
+++ b/mllib/src/main/scala/org/apache/spark/ml/clustering/LDA.scala
@@ -37,7 +37,7 @@ import org.apache.spark.mllib.linalg.MatrixImplicits._
 import org.apache.spark.mllib.linalg.VectorImplicits._
 import org.apache.spark.rdd.RDD
 import org.apache.spark.sql.{DataFrame, Dataset, Row, SparkSession}
-import org.apache.spark.sql.functions.{col, monotonicallyIncreasingId, udf}
+import org.apache.spark.sql.functions.{col, monotonically_increasing_id, udf}
 import org.apache.spark.sql.types.StructType
 
 
@@ -888,7 +888,7 @@ object LDA extends DefaultParamsReadable[LDA] {
        dataset: Dataset[_],
        featuresCol: String): RDD[(Long, OldVector)] = {
     dataset
-      .withColumn("docId", monotonicallyIncreasingId())
+      .withColumn("docId", monotonically_increasing_id())
       .select("docId", featuresCol)
       .rdd
       .map { case Row(docId: Long, features: Vector) =>