import pyspark
    from pyspark.sql import SparkSession
    from pyspark.conf import SparkConf
    import findspark
    from pyspark.sql.functions import countDistinct
    spark = SparkSession.builder \
    .master("local[*]") \
    .appName("usres mobile related information analysis") \
    .config("spark.submit.deployMode", "client") \
    .config("spark.executor.memory","3g") \
    .config("spark.driver.maxResultSize", "1g") \
    .config("spark.executor.pyspark.memory","3g") \
    .enableHiveSupport() \
    .getOrCreate()
`handset_info =` `ora_tmp.select('some_value','some_value','some_value','some_value','some_value','some_value','some_value')`


I configure the spark with 3gb execution memory and 3gb execution pyspark memory.My Database has more than 70 Million row. Show i call the  
   

     handset_info.show()
method it is showing the top 20 row in between 2-5 second. But when i try to run the following code 

    mobile_info_df = handset_info.limit(30)
    mobile_info_df.show()
to show the top 30 rows the it takes too much time(3-4 hour). Is it logical to take that much time. Is there any problem in my configuration.
Configuration of my laptop is-

 - Core i7(4 core) laptop with 8gb ram