overwriting hive partition by a spark dataframe - dataframe

Question

I have a hive table partitioned on snapshot_dt
I have to delete records from each partition which have turned 180 days old or 7 years old depending on condition.
I am iterating over each partition one by one inside for loop
selecting all the records from the partition into whole_data_df dataframe
selecting records to be deleted into save_to_data dataframe
using except to get the records I want.
var cons_rec_to_retain_df = whole_data_df.except(save_to_data)
now I want to overwrite that particular hive partition with the records in the dataframe cons_rec_to_retain_df.
Please find my code below
var query5=s"""select distinct snapshot_dt from workspace_x215579.ess_consldt_cust_prospect_ord_orc_test"""
var partition_load_dates = createDataframeFromSql(hc,query5)
var output = partition_load_dates.collect().toList
output.foreach(println)
for (d1<- output){
var partition_date:String=d1(0).toString
println("=====================this is the partition date========================")
println(partition_date)
var whole_data = s"""select * From workspace_x215579.ess_consldt_cust_prospect_ord_orc_test where snapshot_dt='$partition_date'"""
println("=====================this is whole partition data df========================")
var whole_data_df = createDataframeFromSql(hc,whole_data)
whole_data_df.show(5,false)
var select_data = s"""select * From workspace_x215579.ess_consldt_cust_prospect_ord_orc_test where snapshot_dt='$partition_date'
and
bus_bacct_num_src_id = 130
and
(bacct_status_cd = 'T' and datediff(to_date(current_timestamp()), snapshot_dt) > 180)
OR
(bacct_status_cd <> 'T' and cast(datediff(to_date(current_timestamp()), snapshot_dt)/365.25 as int) > 7)
"""
var save_to_data = createDataframeFromSql(hc,select_data)
println("=====================this is df to be removed========================")
save_to_data.show(5,false)
var cons_rec_to_retain_df = whole_data_df.except(save_to_data)
println("=====================this is df REcord to be inserted=======================")
cons_rec_to_retain_df.show(5,false)
println("!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!")
cons_rec_to_retain_df.show(5)
cons_rec_to_retain_df.write.mode("append").format("orc").insertInto("workspace_x215579.ess_consldt_cust_prospect_ord_orc_test")
}//end of for loop
In the starting I am setting
hc.sql("""set hive.exec.dynamic.partition=true""")
hc.sql("""set hive.exec.dynamic.partition.mode=nonstrict""")
after running the code the count of the record is same as was before. Can someone please suggest a proper way of doing it.