How to read csv without header and name them with names while reading in pyspark?

You can import the csv file into a dataframe with a predefined schema. The way you define a schema is by using the StructType and StructField objects. Assuming your data is all IntegerType data:

from pyspark.sql.types import StructType, StructField, IntegerType

schema = StructType([
    StructField("member_srl", IntegerType(), True),
    StructField("click_day", IntegerType(), True),
    StructField("productid", IntegerType(), True)])

df = spark.read.csv("user_click_seq.csv",header=False,schema=schema)

should work.