yarn 官方配置推荐

http://docs.hortonworks.com/HDPDocuments/HDP2/HDP-2.6.4/bk_installing_manually_book/content/rpm-chap1-11.html

[root@hdp01 scripts]# python hdp-configuration-utils.py -c 16 -m 256 -d 10 -k False
Using cores=16 memory=256GB disks=10 hbase=False
Profile: cores=16 memory=229376MB reserved=32GB usableMem=224GB disks=10
Num Container=18
Container Ram=12288MB
Used Ram=216GB
Unused Ram=32GB
yarn.scheduler.minimum-allocation-mb=12288
yarn.scheduler.maximum-allocation-mb=221184
yarn.nodemanager.resource.memory-mb=221184
mapreduce.map.memory.mb=12288
mapreduce.map.java.opts=-Xmx9216m
mapreduce.reduce.memory.mb=12288
mapreduce.reduce.java.opts=-Xmx9216m
yarn.app.mapreduce.am.resource.mb=12288
yarn.app.mapreduce.am.command-opts=-Xmx9216m
mapreduce.task.io.sort.mb=1792
tez.am.resource.memory.mb=12288
tez.am.java.opts=-Xmx9216m
hive.tez.container.size=12288
hive.tez.java.opts=-Xmx9216m
hive.auto.convert.join.noconditionaltask.size=2684354000