Studying

美团spark实践:http://tech.meituan.com/spark-in-meituan.html

CDH5.6.0-HBase1.0.0:http://archive.cloudera.com/cdh5/cdh/5/hbase/book.html

Spark On Yarn内存资源:http://blog.javachen.com/2015/06/09/memory-in-spark-on-yarn.html

Spark 动态资源分配:http://lxw1234.com/archives/2015/12/593.htm

CDH 相关升级解决issues:

Better: http://blog.csdn.net/xiao_jun_0820/article/details/46561097

http://www.cloudera.com/content/cloudera/en/documentation/cdh5/v5-0-0/Impala/Cloudera-Impala-Release-Notes/cirn_known_issues.html

 CDH集群调优:

http://blog.csdn.net/tiimfei/article/details/46818257

CDH动态资源池:

http://blog.sina.com.cn/s/blog_b042cecf0102vmqy.html

1. Impala:  http://www.cloudera.com/content/cloudera/zh-CN/documentation/core/v5-3-x/topics/impala_tutorial.html?scroll=tutorial_impala_hive_unique_2

2. Hue: 

3. Spark+Kafka: https://www.ibm.com/developerworks/cn/opensource/os-cn-spark-practice2/

          http://blogx.github.io/apache-spark-resource-management-and-yarn-app-models.html

4. Yarn资源调度: http://jxy.me/2015/04/30/yarn-resource-scheduler/

5. Hive优化:

仓库建设:http://blog.csdn.net/tiimfei/article/details/47127531

权限控制:https://cwiki.apache.org/confluence/display/Hive/SQL+Standard+Based+Hive+Authorization

权限控制业务场景:http://www.tuicool.com/articles/b2uuInN

Beeline连接HiveServer2(Queue):http://www.07net01.com/2015/08/900810.html

Map数:http://crxy2013.blog.51cto.com/9922445/1641735

Reduce数:http://crxy2013.blog.51cto.com/9922445/1642597

相关异常(1.1.0): http://tangjj.blog.51cto.com/1848040/1633305

原文地址:https://www.cnblogs.com/likai198981/p/4767593.html