大数据hadoop 的相关内容

文章 2023-12-22 来自：开发者社区

大数据面试题百日更新_Hadoop专题(Day10)

12. 请说下 MR 中 shuffle 阶段13. shuffle 阶段的数据压缩机制了解吗

文章 2023-12-22 来自：开发者社区

10. 请说下 MR 中 Map Task 的工作机制简单概述：inputFile 通过 split 被切割为多个 split 文件，通过 Record 按行读取内容给map（自己写的处理逻辑的方法），数据被 map 处理完之后交给 OutputCollect 收集器，对其结果 key 进行分区（默认使用的 hashPartitioner），然后写入 buffer，每个 map task 都有一....

文章 2023-12-22 来自：开发者社区

大数据面试题百日更新_Hadoop专题(Day08)

请说下 HDFS 的组织架构

文章 2023-12-22 来自：开发者社区

大数据面试题百日更新_Hadoop专题(Day06)

大数据面试题百日更新_Hadoop专题(Day06)在 NameNode HA 中，会出现脑裂问题吗？怎么解决脑裂

文章 2023-12-22 来自：开发者社区

大数据面试题百日更新_Hadoop专题(Day05)

6. Secondary NameNode 不能恢复 NameNode 的全部数据，那如何保证 NameNode 数据存储安全

文章 2023-12-22 来自：开发者社区

大数据面试题百日更新_Hadoop专题(Day04)

5. Secondary NameNode 了解吗，它的工作机制是怎样的Secondary NameNode 是合并 NameNode 的 edit logs 到 fsimage 文件中；它的具体工作机制：（1）Secondary NameNode 询问 NameNode 是否需要 checkpoint。直接带回 NameNode 是否检查结果（2）Secondary NameNode 请求执....

文章 2023-12-22 来自：开发者社区

大数据面试题百日更新_Hadoop专题(Day03)

4. NameNode 在启动的时候会做哪些操作

文章 2023-12-22 来自：开发者社区

大数据面试题百日更新_Hadoop专题(Day01)

Hadoophadoop 中常问的有三块，第一：存储，问到存储，就把 HDFS 相关的知识点拿出来；第二：计算框架(MapReduce)；第三：资源调度框架(yarn)请说下 HDFS 读写流程这个问题虽然见过无数次，面试官问过无数次，但是就是有人不能完整的说下来，所以请务必记住。并且很多问题都是从 HDFS 读写流程中引申出来的hdfs 写文件过程1.客户端发起文件上传请求,通过RPC与N....

文章 2023-12-22 来自：开发者社区

大数据hadoop练习___出租车MRWordCount案例

WordCountDemo计算出10月1日这天每小时的载客量JobMainpackage input.mapreduceT1; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.Path; import org.apache.hadoop.io.LongWritable; import org.apa....

文章 2023-12-22 来自：开发者社区

大数据成长之路-- hadoop集群的部署(4)退役旧数据节点

退役旧数据节点目标：掌握HDFS在集群中删除掉无效节点的步骤第一步：创建dfs.hosts.exclude配置文件在namenod的cd /export/servers/hadoop-2.6.0-cdh5.14.0/etc/hadoop目录下创建dfs.hosts.exclude文件，并添加需要退役的主机名称node01执行以下命令cd /export/servers/hadoop-2.6.0-....

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开源大数据平台 E-MapReduce

开源大数据平台 E-MapReduce（简称“EMR”）是云原生开源大数据平台，向客户提供简单易集成的Hadoop、Hive、Spark、Flink、Presto、ClickHouse、StarRocks、Delta、Hudi等开源大数据计算和存储引擎服务。

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