hadoop数据分布原则的相关内容

阿里云文档 2024-07-02

如何迁移自建Kudu集群的数据到EMR上的Hadoop集群

E-MapReduce（简称EMR）支持将您本地自建的Kudu集群迁移至EMR上。本文为您介绍如何迁移自建Kudu集群的数据到E-MapReduce上的Hadoop集群。

文章 2024-06-22 来自：开发者社区

Hadoop数据重分布的原则

Hadoop数据重分布，特别是在HDFS（Hadoop Distributed File System）中，是一个关键过程，用于确保集群中的数据平衡和高效利用。Hadoop数据重分布遵循以下原则：数据不丢失：在执行数据重分布的过程中，必须保证数据不能出现丢失。这是数据重分布过程中最重要的原则，确保数据的完整性和安全性。备份数不变：数据的备份数在重分布过程中不能改变。这意味着在重新分配...

文章 2024-06-20 来自：开发者社区

Hadoop 数据重分布的原则

Hadoop数据重分布的原则主要包括以下几点：数据不丢失：在执行数据重分布的过程中，必须保证数据不能出现丢失。这是数据重分布的首要原则，确保数据的完整性和安全性。备份数不变：数据的备份数在重分布过程中不能改变。这意味着在数据迁移或重新分配时，数据的备份冗余度应保持不变，以维持数据的可靠性和容错性。 Rack中的block数量不变：每一个rack（机架）中所具备的block数量在重分...

阿里云文档 2023-09-13

如何通过ES-Hadoop实现Spark读写阿里云Elasticsearch数据_检索分析服务 Elasticsearch版(ES)

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。

阿里云文档 2023-09-12

如何通过ES-Hadoop实现Hive读写阿里云Elasticsearch数据_检索分析服务 Elasticsearch版(ES)

ES-Hadoop是Elasticsearch推出的专门用于对接Hadoop生态的工具，可以让数据在Elasticsearch和Hadoop之间双向移动，无缝衔接Elasticsearch与Hadoop服务，充分使用Elasticsearch的快速搜索及Hadoop批处理能力，实现交互式数据处理。本文介绍通过ES-Hadoop组件在Hive上进行Elasticsearch数据的查询和写入，帮助您将...

阿里云文档 2023-09-03

如何通过ES-Hadoop将HDFS中的数据写入Elasticsearch_检索分析服务 Elasticsearch版(ES)

ES-Hadoop是Elasticsearch推出的专门用于对接Hadoop生态的工具，可以让数据在Elasticsearch和Hadoop之间双向移动，无缝衔接Elasticsearch与Hadoop服务，充分使用Elasticsearch的快速搜索及Hadoop批处理能力，实现交互式数据处理。对于一些较复杂的分析任务，需要通过MapReduce任务读取HDFS上的JSON文件，写入Elasti...

阿里云文档 2021-07-16

如何将Hadoop文件系统上的数据迁移至JindoFS

本文以OSS为例，介绍如何将Hadoop文件系统上的数据迁移至JindoFS。

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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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立即开通

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优惠活动

StarRocks 免费试用

产品入门

快速入门指导

常见问题

最佳实践

EMR实时计算实践