开源大数据平台 E-MapReduce自定义的相关内容

MapReduce【自定义OutputFormat】

MapReduce默认的输出格式为TextOutputFormat，它的父类是FileOutputFormat，即按行来写，且内容写到一个文本文件中去,但是并不能满足我们实际开发中的所有需求，所以就需要我们自定义OutPutFormat。自定义OutPutFormat输出数据到MySQL、HBase...

MapReduce【自定义InputFormat】

MapReduce在处理小文件时效率很低，但面对大量的小文件又不可避免，这个时候就需要相应的解决方案。默认的输入格式为TextInputFormat，对于小文件，它是按照它的父类FileInputFormat的切片机制来切片的，也就是不管一个文件多小，独占一片！对于之前的wordcount案例来说&...

MapReduce【自定义分区Partitioner】

实际开发中我们可能根据需求需要将MapReduce的运行结果生成多个不同的文件，比如上一个案例【MapReduce计算广州2022年每月最高温度】，我们需要将前半年和后半年的数据分开写到两个文件中。默认分区默认MapReduce只能写出一个文件：因为我们在提交job的时候未设置reduceTask...

MapReduce自定义分区

自定义分区很简单，主要需要以下三步： **（1）创建一个类继承抽象类 Partitioner，然后重写`getPartition()`方法。** 具体实现如下所示：public class TelePartitioner extends Partitioner<FlowBeanSo...

Hadoop中的MapReduce框架原理、Shuffle机制、Partition分区、自定义Partitioner步骤、在Job驱动中，设置自定义Partitioner、Partition 分区案例

13.MapReduce框架原理13.2MapReduce工作流程上面的流程是整个MapReduce最全工作流程，但是Shuffle过程只是从第7步开始到第16步结束，具体Shuffle过程详解，如下：（1）MapTask收集我们的map()方法输出的kv对，放到内存缓冲区中（2）从内存缓冲区不断溢...

五十三、Mapreduce之自定义outputformat案例

案例需求：过滤输出的log日志，包含tuomasi的网址输出到 tuomasi.log文件，不包含 tuomasi 的网址输出到 other.log文件输入数据：期望输出数据：注：通过观...

MapReduce中的自定义的切片规则及如何把切片分解成KV分别是什么？

MapReduce实现与自定义词典文件基于hanLP的中文分词详解

前言：文本分类任务的第1步，就是对语料进行分词。在单机模式下，可以选择python jieba分词，使用起来较方便。但是如果希望在Hadoop集群上通过mapreduce程序来进行分词，则hanLP更加胜任。一、使用介绍 hanLP是一个用java语言开发的分词工具，官网是 http...

Hadoop MapReduce编程 API入门系列之自定义多种输入格式数据类型和排序多种输出格式（十一）

自定义输入格式，将明星微博数据排序后按粉丝数关注数微博数分别输出到不同文件中。代码 1 package...

一脸懵逼学习Hadoop中的MapReduce程序中自定义分组的实现

1：首先搞好实体类对象：　　write 是把每个对象序列化到输出流，readFields是把输入流字节反序列化，实现WritableComparable，Java值对象的比较：一般需要重写toString(),hashCode(),equals()方法 1 package com.areapart...

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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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EMR实时计算实践