Document directory
IV. For details about map tasks, see
V. Reduce task details
Vi. Distributed support
VII. Summary
2. Distributed Computing (MAP/reduce)
Distributed Computing is also a broad concept. In this case, it refers
The distributed
Two . Distributed Computing ( Map/reduce )Distributed computing, too, is a broad concept, where it narrowly refers to a distributed framework designed by the Google Map/reduce framework. In Hadoop, distributed file systems, to a large extent, are
Shuffle describes the process of data from the map task output to the reduce task input.Personal Understanding:The results of map execution are saved as a local file:As long as map execution is complete, the in-memory map data will be saved to the
MongoDB: Map-Reduce, mongodbmap-reduce
Map-reduce is a data processing program (paradigm) that considers large data to obtain useful aggregation results. For map-reduce operations, MongoDB provides mapreduce commands.
Consider the following
Python ---- reduce is used in this way. Python ---- reduce
Official explanation:
ApplyFunctionOf two arguments cumulatively to the itemsIterable, From left to right, so as to reduce the iterable to a single value. For example,Reduce (lambda x, y: x +
Document directory
3.4.1. Map process
3.4.2 Reduce Process
1. logical process of Map-Reduce
Assume that we need to process a batch of weather data in the following format:
Storage by ASCII code, one record per line
Each line starts from 0 and
The shuffle process is the core of MapReduce, also known as the place where miracles occur. To understand mapreduce, shuffle must be understood. The normal meaning of shuffle is shuffling or cluttering, and perhaps more familiar is the Java API
From: http://blog.csdn.net/opennaive/article/details/75141461. mapreduce did not find Google, so I want to use a hadoop project structure to describe the position of mapreduce, as shown in. Hadoop is actually an open-source implementation of Google
Transfer from http://superlxw1234.iteye.com/blog/1582880First, control the number of maps in the hive task:1. Typically, the job produces one or more map tasks through the directory of input.The main determinants are: The total number of input files,
About Hadoop
Hadoop is an open source system that implements Google's cloud computing system, including parallel computing model Map/reduce, Distributed File System HDFs, and distributed database HBase, along with a wide range of Hadoop related
The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion;
products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the
content of the page makes you feel confusing, please write us an email, we will handle the problem
within 5 days after receiving your email.
If you find any instances of plagiarism from the community, please send an email to:
info-contact@alibabacloud.com
and provide relevant evidence. A staff member will contact you within 5 working days.