hadoop3.x 新特性

hadoop3.x 新特性

Features Hadoop 2.x Hadoop 3.x
Minimum Required Java Version JDK 6 and above. JDK 8 is the minimum runtime version of JAVA required to run Hadoop 3.x as many dependency library files have been used from JDK 8.
Fault Tolerance Fault Tolerance is handled through replication leading to storage and network bandwidth overhead.(3个副本) Support for Erasure Coding(纠错码) in HDFS improves fault tolerance (0.5纠错码+1数据 = 1.5倍磁盘占用)
Storage Scheme Follows a 3x Replication Scheme for data recovery leading to 200% storage overhead. For instance, if there are 8 data blocks then a total of 24 blocks will occupy the storage space because of the 3x replication scheme. Storage overhead in Hadoop 3.0 is reduced to 50% with support for Erasure Coding. In this case, if here are 8 data blocks then a total of only 12 blocks will occupy the storage space.
Change in Port Numbers Hadoop HDFS NameNode -8020 Hadoop HDFS DataNode -50010 Secondary NameNode HTTP -50091 Hadoop HDFS NameNode -9820 Hadoop HDFS DataNode -9866 Secondary NameNode HTTP -9869
YARN Timeline Service YARN timeline service introduced in Hadoop 2.0 has some scalability issues. YARN Timeline service has been enhanced with ATS v2 which improves the scalability and reliability.
Intra DataNode Balancing HDFS Balancer in Hadoop 2.0 caused skew within a DataNode because of addition or replacement of disks. Intra DataNode Balancing has been introduced in Hadoop 3.0 to address the intra-DataNode skews which occur when disks are added or replaced.
Number of NameNodes Hadoop 2.0 introduced a secondary namenode as standby.(一主一备) Hadoop 3.0 supports 2 or more NameNodes.(一主多备)
Heap Size In Hadoop 2.0 , for Java and Hadoop tasks, the heap size needs to be set through two similar properties mapreduce.{map,reduce}.java. Opts and mapreduce.{map,reduce}.memory.mb In Hadoop 3.0, heap size or mapreduce.*.memory.mb is derived automatically.
hdfs HA 逻辑
  1. 增加用于主备之间信息共享推送的 JournalNode
  2. 增加用于选主决策的 zookeeper 集群:ha.zookeeper.quorum 配置
  3. 增加用于监控同机器上的 namenode,试图选举,切换本地 namenode 的 active,standby 状态的zookeeper failover controller(zkfc)进程:QuorumPeerMain
相关推荐
isNotNullX2 小时前
怎么用数据仓库来进行数据治理?
大数据·数据库·数据仓库·数据治理
HitpointNetSuite3 小时前
连锁餐饮行业ERP系统如何选择?
大数据·数据库·oracle·netsuite·erp
zskj_zhyl3 小时前
科技助老与智慧养老的国家级政策与地方实践探索
大数据·人工智能·科技
YangYang9YangYan3 小时前
职业本科发展路径与规划指南
大数据·人工智能·学习·数据分析
V_156560272194 小时前
2025年蚌埠市“三首产品”、市级服务型制造示范、市级企业技术中心等5个项目认定申报指南大全
大数据·人工智能·制造
liliangcsdn4 小时前
如何基于DSL脚本进行elasticsearch向量检索示例
大数据·elasticsearch·搜索引擎
周杰伦_Jay4 小时前
【电商微服务日志处理全方案】从MySQL瓶颈到大数据架构的实战转型
大数据·mysql·微服务·架构
闲人编程4 小时前
Python与大数据:使用PySpark处理海量数据
大数据·开发语言·分布式·python·spark·codecapsule·大规模
程序员小羊!4 小时前
电商项目练习实操(二)
大数据·数据分析·etl·flume
谅望者5 小时前
数据分析笔记01:数据分析概述
大数据·数据库·数据仓库·数据分析