在hadoop集群中，是否应该在所有节点上安装配置单元？
[英]In a hadoop cluster, should hive be installed on all nodes?
问题描述
I am a newbie to Hadoop / Hive and I have just started reading the docs. 
我是Hadoop / Hive的新手，我刚刚开始阅读文档。 There are lots of blogs on installing Hadoop in cluster mode. 有很多关于在群集模式下安装Hadoop的博客。 Also, I know that Hive runs on top of Hadoop. 另外，我知道Hive运行在Hadoop之上。 My question is: Hadoop is installed on all the cluster nodes. 我的问题是：Hadoop安装在所有集群节点上。 Should I also install Hive on all the cluster nodes or only on the master node? 我是否还应该在所有群集节点上或仅在主节点上安装Hive？
3 个解决方案
解决方案1
27 已采纳 2011-12-10 11:27:04
解决方案2
0
From Cloudera's Hive installation Guide : 从Cloudera的Hive安装指南 ：
Install Hive on your client machine(s) from which you submit jobs;
解决方案3
0 2016-10-26 06:57:09
Hive is basically used for processing structured and semi-structured data in Hadoop. Hive主要用于处理Hadoop中的结构化和半结构化数据。 We can also perform Analysis of large datasets which is present in HDFS and also in Amazon S3 filesystem using Hive. 我们还可以使用Hive执行分析大型数据集，这些数据集存在于HDFS和Amazon S3文件系统中。 In order to query data hive also provides query language known as HiveQL which is similar to SQL. 为了查询数据，hive还提供了称为HiveQL的查询语言，类似于SQL。 Using Hive one can easily run Ad-hoc queries for the data analysis. 使用Hive可以轻松地为数据分析运行Ad-hoc查询。 Using Hive we don't need to write complex Map-Reduce jobs, we just need to submit SQL queries. 使用Hive我们不需要编写复杂的Map-Reduce作业，我们只需要提交SQL查询。 Hive converts these SQL queries into MapReduce jobs. Hive将这些SQL查询转换为MapReduce作业。
Finally Hive SQL will get converted to MapReduce jobs and we don't have to submit MapReduce job from all node in a Hadoop cluster, in the same way we don't need Hive to be installed in all node of Hadoop cluster 最后，Hive SQL将转换为MapReduce作业，我们不必从Hadoop集群中的所有节点提交MapReduce作业，就像我们不需要在Hadoop集群的所有节点中安装Hive一样
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