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https://issues.apache.org/jira/browse/HIVE-20289?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Stamatis Zampetakis updated HIVE-20289:
---------------------------------------
Fix Version/s: (was: 2.3.0)
I cleared the fixVersion field since this ticket is still open. Please review
this ticket and if the fix is already committed to a specific version please
set the version accordingly and mark the ticket as RESOLVED.
According to the [JIRA
guidelines|https://cwiki.apache.org/confluence/display/Hive/HowToContribute]
the fixVersion should be set only when the issue is resolved/closed.
> The function of row_number have different result
> -------------------------------------------------
>
> Key: HIVE-20289
> URL: https://issues.apache.org/jira/browse/HIVE-20289
> Project: Hive
> Issue Type: Bug
> Components: Hive
> Affects Versions: 2.3.0
> Environment: hive 2.3.3
> hadoop 2.7.6
> Reporter: guangdong
> Priority: Minor
>
> 1. Create table like this:
> create table src(
> name string
> ,buy_time string
> ,consumption int );
> 2.Then insert data：
> insert into src values('zzz','2018-08-01',20),('zzz','2018-08-01',10);
> 3.When i execute sql in hive 2.3.3. The result is :
> hive> select consumption, row_number() over(distribute by name sort by
> buy_time desc) from src;
> Query ID = dwetl_20180801210808_692d5d70-a136-4525-9cdb-b6269e6c3069
> Total jobs = 1
> Launching Job 1 out of 1
> Number of reduce tasks not specified. Estimated from input data size: 1
> In order to change the average load for a reducer (in bytes):
> set hive.exec.reducers.bytes.per.reducer=<number>
> In order to limit the maximum number of reducers:
> set hive.exec.reducers.max=<number>
> In order to set a constant number of reducers:
> set mapreduce.job.reduces=<number>
> Starting Job = job_1531984581474_944267, Tracking URL =
> http://hadoop-jr-nn02.pekdc1.jdfin.local:8088/proxy/application_1531984581474_944267/
> Kill Command = /soft/hadoop/bin/hadoop job -kill job_1531984581474_944267
> Hadoop job information for Stage-1: number of mappers: 2; number of reducers:
> 1
> 2018-08-01 21:09:08,855 Stage-1 map = 0%, reduce = 0%
> 2018-08-01 21:09:16,026 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 2.12
> sec
> 2018-08-01 21:09:22,210 Stage-1 map = 100%, reduce = 100%, Cumulative CPU
> 4.09 sec
> MapReduce Total cumulative CPU time: 4 seconds 90 msec
> Ended Job = job_1531984581474_944267
> MapReduce Jobs Launched:
> Stage-Stage-1: Map: 2 Reduce: 1 Cumulative CPU: 4.09 sec HDFS Read: 437
> HDFS Write: 10 SUCCESS
> Total MapReduce CPU Time Spent: 4 seconds 90 msec
> OK
> 20 1
> 10 2
> Time taken: 80.135 seconds, Fetched: 2 row(s)
> 4.When i execute sql in hive 0.14. The result is :
> > select consumption, row_number() over(distribute by name sort by buy_time
> > desc) from src;
> Query ID = dwetl_20180801212222_7812d9f0-328d-4125-ba99-0f577f4cca9a
> Total jobs = 1
> Launching Job 1 out of 1
> Number of reduce tasks not specified. Estimated from input data size: 1
> In order to change the average load for a reducer (in bytes):
> set hive.exec.reducers.bytes.per.reducer=<number>
> In order to limit the maximum number of reducers:
> set hive.exec.reducers.max=<number>
> In order to set a constant number of reducers:
> set mapreduce.job.reduces=<number>
> Starting Job = job_1531984581474_944597, Tracking URL =
> http://hadoop-jr-nn02.pekdc1.jdfin.local:8088/proxy/application_1531984581474_944597/
> Kill Command = /soft/hadoop/bin/hadoop job -kill job_1531984581474_944597
> Hadoop job information for Stage-1: number of mappers: 1; number of reducers:
> 1
> 2018-08-01 21:22:26,467 Stage-1 map = 0%, reduce = 0%
> 2018-08-01 21:22:34,839 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 1.13
> sec
> 2018-08-01 21:22:40,984 Stage-1 map = 100%, reduce = 100%, Cumulative CPU
> 3.28 sec
> MapReduce Total cumulative CPU time: 3 seconds 280 msec
> Ended Job = job_1531984581474_944597
> MapReduce Jobs Launched:
> Stage-Stage-1: Map: 1 Reduce: 1 Cumulative CPU: 3.28 sec HDFS Read: 233
> HDFS Write: 10 SUCCESS
> Total MapReduce CPU Time Spent: 3 seconds 280 msec
> OK
> I hope have the common result . How could i can do?
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