[jira] [Created] (SPARK-18107) Insert overwrite statement runs much slower in spark-sql than it does in hive-client

["J.P Feng (JIRA)" <ji...@apache.org>]

J.P Feng created SPARK-18107:
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             Summary: Insert overwrite statement runs much slower in spark-sql than it does in hive-client
                 Key: SPARK-18107
                 URL: https://issues.apache.org/jira/browse/SPARK-18107
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 2.0.0
         Environment: spark 2.0.0
hive 2.0.1
            Reporter: J.P Feng


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





 




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