ratings = spark.createDataFrame(
    sc.textFile("myfile.json").map(lambda l: json.loads(l)),
)



ratings.registerTempTable("mytable")

final_df = sqlContext.sql("select * from mytable");

user_id_list = final_df.select('user_id').rdd.flatMap(lambda x: x).collect()
created_at_list = final_df.select('created_at').rdd.flatMap(lambda x: x).collect()

for i in range(len(user_id_list)):
    status=get_status(user_id_list[I],created_at_list[I])

final_df.withColumn('status', 'give the condition here')