GitHub user shenh062326 opened a pull request:
https://github.com/apache/spark/pull/14574
[SPARK-16985] Change dataFormat from yyyyMMddHHmm to yyyyMMddHHmmss
## What changes were proposed in this pull request?
In our cluster, sometimes the sql output maybe overrided. When I submit
some sql, all insert into the same table, and the sql will cost less one
minute, here is the detail,
1 sql1, 11:03 insert into table.
2 sql2, 11:04:11 insert into table.
3 sql3, 11:04:48 insert into table.
4 sql4, 11:05 insert into table.
5 sql5, 11:06 insert into table.
The sql3's output file will override the sql2's output file. here is the
log:
```
16/05/04 11:04:11 INFO hive.SparkHiveHadoopWriter:
XXfinalPath=hdfs://tl-sng-gdt-nn-tdw.tencent-distribute.com:54310/tmp/assorz/tdw-tdwadmin/20160504/04559505496526517_-1_1204544348/10000/_tmp.p_20160428/attempt_201605041104_0001_m_000000_1
16/05/04 11:04:48 INFO hive.SparkHiveHadoopWriter:
XXfinalPath=hdfs://tl-sng-gdt-nn-tdw.tencent-distribute.com:54310/tmp/assorz/tdw-tdwadmin/20160504/04559505496526517_-1_212180468/10000/_tmp.p_20160428/attempt_201605041104_0001_m_000000_1
```
The reason is the output file use SimpleDateFormat("yyyyMMddHHmm"), if two
sql insert into the same table in the same minute, the output will be overrite.
I think we should change dateFormat to "yyyyMMddHHmmss", in our cluster, we
can't finished a sql in one second.
## How was this patch tested?
(Please explain how this patch was tested. E.g. unit tests, integration
tests, manual tests)
(If this patch involves UI changes, please attach a screenshot; otherwise,
remove this)
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/shenh062326/spark SPARK-16985
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/14574.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #14574
----
commit a385a2ac2a659d153532bef0748a0b1134687c8b
Author: hongshen <[email protected]>
Date: 2016-08-10T03:57:56Z
Change dataFormat from yyyyMMddHHmm to yyyyMMddHHmmss
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