hadoop数据序列化的相关内容

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 2024-06-14 来自：开发者社区

Hadoop性能优化使用高效的数据压缩和序列化

Hadoop性能优化中，使用高效的数据压缩和序列化是非常重要的策略。以下是关于这两个方面的详细解释：数据压缩： Hadoop默认使用Gzip进行数据压缩，但这种压缩算法可能会增加CPU的负载，从而降低整体性能。因此，选择合适的压缩算法是性能优化的关键。可以考虑使用更高效的压缩算法，如Snappy或LZO，这些算法通常具有更高的压缩和解压缩速度，并且能更有效地利用CPU资源^[1][2]^。...

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

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阿里云文档 2023-06-16

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。

阿里云文档 2023-06-15

如何通过ES-Hadoop将HDFS中的数据写入Elasticsearch

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文章 2022-09-20 来自：开发者社区

Hadoop中的MapReduce概述、优缺点、核心思想、编程规范、进程、官方WordCount源码、提交到集群测试、常用数据序列化类型、WordCount案例实操

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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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更新时间 2024-06-20 13:11:55

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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。

产品控制台

立即开通

产品文档

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