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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