How auto update% spark.sql results in zeppelin for structured streaming request

I am running structured streaming (spark 2.1.0 with zeppelin 0.7) on data coming from kafka and I am trying to visualize the streaming result using spark.sql

as shown below:

%spark2
val spark = SparkSession
  .builder()
  .appName("Spark structured streaming Kafka example")
  .master("yarn")
  .getOrCreate()
val inputstream = spark.readStream
    .format("kafka")
    .option("kafka.bootstrap.servers", "n11.hdp.com:6667,n12.hdp.com:6667,n13.hdp.com:6667 ,n10.hdp.com:6667, n9.hdp.com:6667")
    .option("subscribe", "st")
    .load()


val stream = inputstream.selectExpr("CAST( value AS STRING)").as[(String)].select(
             expr("(split(value, ','))[0]").cast("string").as("pre_post_paid"),
             expr("(split(value, ','))[1]").cast("double").as("DataUpload"),
             expr("(split(value, ','))[2]").cast("double").as("DataDowndownload"))
           .filter("DataUpload is not null and DataDowndownload is not null")
          .groupBy("pre_post_paid").agg(sum("DataUpload") + sum("DataDowndownload") as "size")
val query = stream.writeStream
.format("memory")
.outputMode("complete")
.queryName("test")
.start()

      

        
        
        
      

    

after executing the request i am on "test" as below:

%sql
select *
from test

      

        
        
        
      

    

it only updates when i run it manually, my question is how to make it update as new data is processed (streaming visualization) in the following example:

Analysis Without Compromise: Using Structured Streaming in Apache Spark