- Learning Hadoop 2
- Garry Turkington Gabriele Modena
- 209字
- 2021-07-23 20:57:36
Conventions
In this book, you will find a number of styles of text that distinguish between different kinds of information. Here are some examples of these styles, and an explanation of their meaning.
Code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles are shown as follows: "If Avro dependencies are not present in the classpath, we need to add the Avro MapReduce.jar
file to our environment before accessing individual fields."
A block of code is set as follows:
topic_edges_grouped = FOREACH topic_edges_grouped { GENERATE group.topic_id as topic, group.source_id as source, topic_edges.(destination_id,w) as edges; }
Any command-line input or output is written as follows:
$ hdfs dfs -put target/elephant-bird-pig-4.5.jar hdfs:///jar/ $ hdfs dfs –put target/elephant-bird-hadoop-compat-4.5.jar hdfs:///jar/ $ hdfs dfs –put elephant-bird-core-4.5.jar hdfs:///jar/
New terms and important words are shown in bold. Words that you see on the screen, in menus or dialog boxes, appear in the text like this: "Once the form is filled in, we need to review and accept the terms of service and click on the Create Application button in the bottom-left corner of the page."
- 垃圾回收的算法與實現(xiàn)
- Web Application Development with R Using Shiny(Second Edition)
- The DevOps 2.4 Toolkit
- Big Data Analytics
- Hands-On GPU:Accelerated Computer Vision with OpenCV and CUDA
- C# 8.0核心技術(shù)指南(原書第8版)
- Learning OpenStack Networking(Neutron)
- 移動互聯(lián)網(wǎng)軟件開發(fā)實驗指導(dǎo)
- Kivy Cookbook
- Python數(shù)據(jù)可視化之美:專業(yè)圖表繪制指南(全彩)
- Python計算機視覺和自然語言處理
- Practical Predictive Analytics
- WildFly Cookbook
- PostgreSQL Developer's Guide
- Java程序設(shè)計