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Travel of Software Developer: Pretty Printing with Gson in Groovy
http://braveo.blogspot.com/2015/05/pretty-printing-with-gson-in-groovy.html
Travel of Software Developer. Pretty Printing with Gson in Groovy. Usr/bin/env groovy @Grab('com.google.code.gson:gson:2.3.1') import com.google.gson.*; def gson = new GsonBuilder().setPrettyPrinting().create(); def jp = new JsonParser(); System.in.eachLine { line - def je = jp.parse(line); println(gson.toJson(je) ; }. Subscribe to: Post Comments (Atom). CDH 5 pseudo-distributed cluster Docker image. Errors: CDA - 20150518. Example list in Learning Spark. Various ways to run Scala code ajdukes blog.
Travel of Software Developer: Example list in Learning Spark
http://braveo.blogspot.com/2015/05/example-list-in-learning-spark.html
Travel of Software Developer. Example list in Learning Spark. Example 2-2. Scala line count. Example 2-3. Examining the sc variable. Example 2-4. Python filtering example. Example 2-5. Scala filtering example. Example 2-6. Running a Python script. Example 2-7. Initializing Spark in Python. Example 2-9. Initializing Spark in Java. Example 2-10. Word count Java application? T worry about the details yet. Example 2-11. Word count Scala application? T worry about the details yet. Example 3-22. Java funct...
Travel of Software Developer: Figures in Hadoop: The Definitive Guide
http://braveo.blogspot.com/2015/05/figures-in-hadoop-definitive-guide.html
Travel of Software Developer. Figures in Hadoop: The Definitive Guide. Figure 1-1. Structure of the book: there are various pathways through the book. Figure 2-1. MapReduce logical data flow. MapReduce works by breaking the processing into two phases:. The map phase and. Each phase has key-value pairs as input and output,. The types of which may be chosen by the programmer. Figure 2-2. Data-local (a), rack-local (b), and off-rack (c) map tasks. Figure 2-3. MapReduce data flow with a single reduce task.
Travel of Software Developer: Four-step Strategy for Incremental Updates in Apache Hive
http://braveo.blogspot.com/2015/05/four-step-strategy-for-incremental.html
Travel of Software Developer. Four-step Strategy for Incremental Updates in Apache Hive. Four-step Strategy for Incremental Updates in Apache Hive. Subscribe to: Post Comments (Atom). CDH 5 pseudo-distributed cluster Docker image. Errors: CDA - 20150518. Example list in Learning Spark. Various ways to run Scala code ajdukes blog. TOC of Learning Spark. Intro to Apache Spark函数与方法的词频统计. Scala for the Impatient. 辛湜 Spark项目理念以及第项目未来的展望 - 高清在线观看 - 腾讯视频. Pretty Printing with Gson in Groovy.
Travel of Software Developer: 关于Hadoop和Cassandra性能问题的讨论 - ImportNew
http://braveo.blogspot.com/2015/05/hadoopcassandra-importnew.html
Travel of Software Developer. 分布式 Key-Value 存储系统：Cassandra 入门. Cassandra集合列（collection columns) – 雕刻时光. NemoTyrant/manong · GitHub. Cassandra-开源分布式Key-Value存储系统 - David的日志 - 网易博客. 简单介绍一下HBase、Cassandra、Voldemort、Redis、VoltDB、MySQL 学慧乐博客. Cassandra 数据库系统简单介绍（一） - 数据库服务器 - LinuxTone 运维专家网论坛 - 最棒的Linux运维与开源架构技术交流社区! Hadoop 海量数据面试题汇总（一）« - 好代码编程网. 今年招程序员我最后都加了一道跟实际业务相关的数据库题,竟然大部分程序员都不止怎么答,码农们来看看,是我得问题太过分还是现在的程序员太弱了. 美国大数据工程师面试攻略有哪些？ - 程序员面试 - 知乎. Running Cassandra in a Multi-node Cluster 人人IT网. Java - hive s...
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Travel of Software Developer. ZooKeeper fundamentals, deployment, and applications. 本文是上面的在线文档的一些阅读笔记。和其他所有笔记一样，本文的目的不是分享，而是给我自己以后重温相关信息时看的。 在 http:/ www.tutorialspoint.com/zookeeper/. 和 http:/ www.tutorialspoint.com/zookeeper/zookeeper overview.htm. ZooKeeper is a distributed co-ordination service to manage large set of hosts. 分布式环境以及一种服务这两点很好理解，但大量主机和协调服务这两个让我有点“逆反”的考虑： 如果不是大量主机，或者不是用于协调服务，会不会和ZooKeeper的设计初衷不相符而带来问题？ 相关的信息主要来自 PoweredBy - Apache ZooKeeper - Apache Software Foundation. During normal ope...
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