[ https://issues.apache.org/jira/browse/SPARK-18107?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-18107: ------------------------------------ Assignee: (was: Apache Spark) > 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 > -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org