成都创新互联网站制作重庆分公司

TEZMRRoptimizetoMR?

https://issues.apache.org/jira/browse/HIVE-2340

网站建设哪家好,找成都创新互联!专注于网页设计、网站建设、微信开发、小程序开发、集团企业网站建设等服务项目。为回馈新老客户创新互联还提供了湘东免费建站欢迎大家使用!

select userid,count(*) from u_data group by userid order by userid    will product MRR.

 

I think when the result of  userid,count(*) is small(one reduce can process the result) . This query plan can optimize to MR ?


To prevent bad reducer merging, the reducer merging only kicks in when the

optimizer thinks it gets a perf boost.

 

MR -> MRR is not a big win when it comes Tez, due to container-reuse -

going wide on the large cardinality in case of missing map-side

aggregation will be safer.

 

If hive.map.aggr=true and the userid set fits within memory, then smushing

the reducers would be nicer.

 

To reset the wide-narrow checks, do

 

set hive.optimize.reducededuplication.min.reducer=1;

 

 

But be aware that it will fail (I1ve seen full disks) as you scale upwards

to the 10+ Tb cases.

 

Cheers,

Gopal

hive.optimize.reducededuplication.min.reducer
  • Default Value: 4

  • Added In: Hive 0.11.0 with HIVE-2340

Reduce deduplication merges two RSs (reduce sink operators) by moving key/parts/reducer-num of the child RS to parent RS. That means if reducer-num of the child RS is fixed (order by or forced bucketing) and small, it can make very slow, single MR. The optimization will be disabled if number of reducers is less than specified value.


网站名称:TEZMRRoptimizetoMR?
本文路径:http://cxhlcq.com/article/goeoch.html

其他资讯

在线咨询

微信咨询

电话咨询

028-86922220(工作日)

18980820575(7×24)

提交需求

返回顶部