Spark Plugin Exception - java.lang.ClassCastException: org.apache.spark.sql.catalyst.expressions.GenericMutableRow cannot be cast to org.apache.spark.sql.Row

Running the DataFrame example on Spark Plugin page (https://phoenix.apache.org/phoenix_spark.html) results in following exception. The same code works as expected with Spark 1.4.1.

    import org.apache.spark.SparkContext
    import org.apache.spark.sql.SQLContext
    import org.apache.phoenix.spark._

    val sc = new SparkContext("local", "phoenix-test")
    val sqlContext = new SQLContext(sc)

    val df = sqlContext.load(
      "org.apache.phoenix.spark",
      Map("table" -> "TABLE1", "zkUrl" -> "127.0.0.1:2181")
    )

    df
      .filter(df("COL1") === "test_row_1" && df("ID") === 1L)
      .select(df("ID"))
      .show

Exception

java.lang.ClassCastException: org.apache.spark.sql.catalyst.expressions.GenericMutableRow cannot be cast to org.apache.spark.sql.Row
at org.apache.spark.sql.SQLContext$$anonfun$7.apply(SQLContext.scala:439) ~[spark-sql_2.11-1.5.0.jar:1.5.0]
at scala.collection.Iterator$$anon$11.next(Iterator.scala:363) ~[scala-library-2.11.4.jar:na]
at scala.collection.Iterator$$anon$11.next(Iterator.scala:363) ~[scala-library-2.11.4.jar:na]
at scala.collection.Iterator$$anon$11.next(Iterator.scala:363) ~[scala-library-2.11.4.jar:na]
at org.apache.spark.sql.execution.aggregate.TungstenAggregationIterator.processInputs(TungstenAggregationIterator.scala:366) ~[spark-sql_2.11-1.5.0.jar:1.5.0]
at org.apache.spark.sql.execution.aggregate.TungstenAggregationIterator.start(TungstenAggregationIterator.scala:622) ~[spark-sql_2.11-1.5.0.jar:1.5.0]
at org.apache.spark.sql.execution.aggregate.TungstenAggregate$$anonfun$doExecute$1.org$apache$spark$sql$execution$aggregate$TungstenAggregate$$anonfun$$executePartition$1(TungstenAggregate.scala:110) ~[spark-sql_2.11-1.5.0.jar:1.5.0]
at org.apache.spark.sql.execution.aggregate.TungstenAggregate$$anonfun$doExecute$1$$anonfun$2.apply(TungstenAggregate.scala:119) ~[spark-sql_2.11-1.5.0.jar:1.5.0]
at org.apache.spark.sql.execution.aggregate.TungstenAggregate$$anonfun$doExecute$1$$anonfun$2.apply(TungstenAggregate.scala:119) ~[spark-sql_2.11-1.5.0.jar:1.5.0]
at org.apache.spark.rdd.MapPartitionsWithPreparationRDD.compute(MapPartitionsWithPreparationRDD.scala:64) ~[spark-core_2.11-1.5.0.jar:1.5.0]
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297) ~[spark-core_2.11-1.5.0.jar:1.5.0]
at org.apache.spark.rdd.RDD.iterator(RDD.scala:264) ~[spark-core_2.11-1.5.0.jar:1.5.0]
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) ~[spark-core_2.11-1.5.0.jar:1.5.0]
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297) ~[spark-core_2.11-1.5.0.jar:1.5.0]
at org.apache.spark.rdd.RDD.iterator(RDD.scala:264) ~[spark-core_2.11-1.5.0.jar:1.5.0]
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73) ~[spark-core_2.11-1.5.0.jar:1.5.0]
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41) ~[spark-core_2.11-1.5.0.jar:1.5.0]
at org.apache.spark.scheduler.Task.run(Task.scala:88) ~[spark-core_2.11-1.5.0.jar:1.5.0]
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) ~[spark-core_2.11-1.5.0.jar:1.5.0]
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) [na:1.8.0_45]
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) [na:1.8.0_45]
at java.lang.Thread.run(Thread.java:745) [na:1.8.0_45]