Insert overwrite statement runs much slower in spark-sql than it does in hive-client

I find insert overwrite statement running in spark-sql or spark-shell spends much more time than it does in hive-client (i start it in apache-hive-2.0.1-bin/bin/hive ), where spark costs about ten minutes but hive-client just costs less than 20 seconds.

These are the steps I took.

Test sql is :

insert overwrite table login4game partition(pt='mix_en',dt='2016-10-21') select distinct account_name,role_id,server,'1476979200' as recdate, 'mix' as platform, 'mix' as pid, 'mix' as dev from tbllog_login where pt='mix_en' and dt='2016-10-21' ;

there are 257128 lines of data in tbllog_login with partition(pt='mix_en',dt='2016-10-21')

ps:

I'm sure it must be "insert overwrite" costing a lot of time in spark, may be when doing overwrite, it need to spend a lot of time in io or in something else.

I also compare the executing time between insert overwrite statement and insert into statement.

1. insert overwrite statement and insert into statement in spark:

insert overwrite statement costs about 10 minutes
insert into statement costs about 30 seconds

2. insert into statement in spark and insert into statement in hive-client:

spark costs about 30 seconds
hive-client costs about 20 seconds
the difference is little that we can ignore