Cluster is creating on the fly...not in interactive cluster

and code is :

import dlt

from pyspark.sql.functions import *

from pyspark.sql.types import *

json_path = "/databricks-datasets/wikipedia-datasets/data-001/clickstream/raw-uncompressed-json/2015_2_clickstream.json"

@dlt.table(

 comment="The raw wikipedia clickstream dataset, ingested from /databricks-datasets."

)

def clickstream_raw():

 return (spark.read.format("json").load(json_path))

@dlt.table(

 comment="Wikipedia clickstream data cleaned and prepared for analysis."

)

@dlt.expect("valid_current_page_title", "current_page_title IS NOT NULL")

@dlt.expect_or_fail("valid_count", "click_count > 0")

def clickstream_prepared():

 return (

  dlt.read("clickstream_raw")

   .withColumn("click_count", expr("CAST(n AS INT)"))

   .withColumnRenamed("curr_title", "current_page_title")

   .withColumnRenamed("prev_title", "previous_page_title")

   .select("current_page_title", "click_count", "previous_page_title")

 )

@dlt.table(

 comment="A table containing the top pages linking to the Apache Spark page."

)

def top_spark_referrers():

 return (

  dlt.read("clickstream_prepared")

   .filter(expr("current_page_title == 'Apache_Spark'"))

   .withColumnRenamed("previous_page_title", "referrer")

   .sort(desc("click_count"))

   .select("referrer", "click_count")

   .limit(10)

 )