Spark独立模式与本地模式之间的区别？
[英]Difference between spark standalone and local mode?
问题描述
Spark独立模式和本地模式有什么区别？
1 个解决方案
解决方案1
5 已采纳 2016-11-27 11:20:06
Spark standalone is a resource manager which can work on a cluster. 
Spark独立服务器是可以在集群上工作的资源管理器。 It is simply the built in resource manager as opposed to an external one like yarn. 它只是内置的资源管理器，而不是像纱线这样的外部资源管理器。
Spark local runs without any resource manager, everything runs in a single jvm (you can decide the number of threads). Spark Local在没有任何资源管理器的情况下运行，所有内容都在单个jvm中运行（您可以确定线程数）。 This is aimed for testing locally. 这旨在用于本地测试。
声明:本站的技术帖子网页，遵循CC BY-SA 4.0协议，如果您需要转载，请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.
相关问题
Spark Standalone、YARN 和本地模式有什么区别？ - What is the difference between Spark Standalone, YARN and local mode?
Spark本地和独立之间的区别 - Spark Difference between local and standalone
Spark Executor 以本地或独立模式登录 - Spark Executor logs in local or standalone mode
--master local[n] 和 --total-executor-core = n (Spark Standalone) 有什么区别？ - What is the difference between --master local[n] and --total-executor-core = n (Spark Standalone)?
为什么Spark 1.5.2在独立模式下抛出“本地类不兼容”？ - Why does Spark 1.5.2 throw “local class incompatible” in standalone mode?
Spark-本地独立模式不会写入历史记录服务器 - Spark - local standalone mode won't write to history server
为什么Spark需要在本地或独立模式下使用hadoop库？ - Why spark needs hadoop libraries in local or standalone mode?
本地模式和集群中Spark程序的区别 - Spark program difference in local mode and cluster
独立模式下的 Spark 并行 - Spark Parallelism in Standalone Mode
独立安装的Hadoop和Spark中包含的Hadoop之间的区别？ - The difference between a hadoop installed by standalone and a hadoop included in spark?
相关标签