[Cloud][Databricks] OAP MLLib jar can not be loaded by Databricks runtime

[yao531441]

We are going to get the OAP MLlib performance gain on Databricks, but it seems OAP MLLib jar can not be loaded by Databricks runtime. The error log is as blow:

We use Kmeans Demo to test.

import org.apache.spark.ml.clustering.KMeans
import org.apache.spark.ml.evaluation.ClusteringEvaluator

spark.sparkContext.setLogLevel("INFO")

val dataset = spark.read.format("libsvm").load("/FileStore/mllib_data/sample_kmeans_data.txt")

// Trains a k-means model.
val kmeans = new KMeans().setK(2).setSeed(1L)
val model = kmeans.fit(dataset)

// Make predictions
val predictions = model.transform(dataset)

// Evaluate clustering by computing Silhouette score
val evaluator = new ClusteringEvaluator()

val silhouette = evaluator.evaluate(predictions)
println(s"Silhouette with squared euclidean distance = $silhouette")

// Shows the result.
println("Cluster Centers: ")
model.clusterCenters.foreach(println)

[xwu99]

Could I know if Databricks runtime are using K8S as cluster manager?

[yao531441]

Could I know if Databricks runtime are using K8S as cluster manager?

I try to dig this information out, but I couldn't find any info about it from the official docs. According to Databrick's slides page 23, I guess Databricks uses its own cluster manager.