分布式hadoop spark 的相关内容

阿里云文档 2025-06-05

使用Hadoop命令操作OSS/OSS-HDFS

在使用阿里云EMR Serverless Spark的Notebook时，您可以通过Hadoop命令直接访问OSS或OSS-HDFS数据源。本文将详细介绍如何通过Hadoop命令操作OSS/OSS-HDFS。

阿里云文档 2025-04-03

如何通过ES-Hadoop实现Spark读写阿里云Elasticsearch数据

Spark是一种通用的大数据计算框架，拥有Hadoop MapReduce所具有的计算优点，能够通过内存缓存数据为大型数据集提供快速的迭代功能。与MapReduce相比，减少了中间数据读取磁盘的过程，进而提高了处理能力。本文介绍如何通过ES-Hadoop实现Hadoop的Spark服务读写阿里云Elasticsearch数据。

文章 2024-05-31 来自：开发者社区

分布式计算框架比较：Hadoop、Spark 与 Flink

在大数据处理领域，Hadoop、Spark 和 Flink 是三个非常重要的分布式计算框架，它们各自有着独特的特点和优势。 Hadoop 是分布式计算的先驱框架。它主要由 HDFS（分布式文件系统）和 MapReduce（计算框架）组成。Hadoop 擅长处理大规模的批量数据处理任务，具有高度的可扩...

文章 2023-12-19 来自：开发者社区

【云计算与大数据计算】分布式处理CPU多核、MPI并行计算、Hadoop、Spark的简介（超详细）

一、CPU多核和POISX Thread为了提高任务的计算处理能力，下面分别从硬件和软件层面研究新的计算处理能力在硬件设备上,CPU 技术不断发展,出现了SMP(对称多处理器)和 NUMA(非一致性内存访问)两种高速处理的 CPU 结构在软件层面出现了多进程和多线程编程。进程是内存资源管理单元,线程是任务调度单元总的来说，线程所占用的资源更少，运行一个线程所需要的资源包括寄存器，栈，程序计数....

阿里云文档 2023-09-13

如何在EMR的Hadoop集群中运行Spark作业对接DataHub数据_EMR on ECS_开源大数据平台 E-MapReduce(EMR)

本文介绍如何在E-MapReduce的Hadoop集群，运行Spark作业消费DataHub数据、统计数据个数并打印出来。

文章 2022-02-17 来自：开发者社区

分布式处理与大数据平台(RabbitMQ&Celery&Hadoop&Spark&Storm&Elasticsearch)

热门的消息队列中间件RabbitMQ，分布式任务处理平台Celery，大数据分布式处理的三大重量级武器：Hadoop、Spark、Storm，以及新一代的数据采集和分析引擎Elasticsearch。 RabbitMQ RabbitMQ是一个支持Advanced Message Queuing Protocol（AMQP）的开源消息队列实现，由Erlang编写，因以高性能、高可用以及可伸缩性出名....

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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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