Spark函数详解系列之RDD基本转换 https://www.cnblogs.com/MOBIN/p/5373256.html The  RDD provides low level API for hight level of transformation (lasy loading) which is basis of Stream API 1.source input -----> channel -----> source ouput 2.Name node ---> data…

An ingest pattern that we commonly see being adopted at Cloudera customers is Apache Spark Streaming applications which read data from Kafka. Streaming data continuously from Kafka has many benefits such as having the capability to gather insights fa…

[error] at com.mongodb.connection.CommandProtocol.execute(CommandProtocol.java:) [error] at com.mongodb.connection.DefaultServer$DefaultServerProtocolExecutor.execute(DefaultServer.java:) [error] at com.mongodb.connection.DefaultServerConnection.exec…

Awesome Big Data A curated list of awesome big data frameworks, resources and other awesomeness. Inspired byawesome-php, awesome-python, awesome-ruby, hadoopecosystemtable & big-data. Your contributions are always welcome! Awesome Big Data Frameworks…

区块链是目前最热门的话题,广大读者都听说过比特币,或许还有智能合约,相信大家都非常想了解这一切是如何工作的.这篇文章就是帮助你使用 Java 语言来实现一个简单的区块链,用不到 120 行代码来揭示区块链的原理! “用不到120行 Java 代码就能实现一个自己的区块链!” 听起来不可思议吧?有什么能比开发一个自己的区块链更好的学习实践方法呢?那我们就一起来实践下! 因为我们是一家从事互联网金融的科技公司,所以我们采用虚拟资产金额作为这篇文章中的示例数据.大家可以先为自己想一个数字,后面我们会用…

https://github.com/onurakpolat/awesome-bigdata A curated list of awesome big data frameworks, resources and other awesomeness. Inspired by awesome-php, awesome-python, awesome-ruby, hadoopecosystemtable & big-data. Your contributions are always welco…

原文网址:http://www.blogjava.net/sound/archive/2008/08/21/40499.html 现在的计算机图书发展的可真快,很久没去书店,昨日去了一下,真是感叹万千,很多陌生的出版社,很多陌生的作者,很多陌生的译者,书名也是越来越夸张,什么××天精通××,精通××编程, ××宝典等等,书的印刷质量真的很好,纸张的质量也是今非昔比啊,但书的内容好象却是越来越让人失望,也许是我老了,我的思想我的观念已脱离现实社会,也许是外面的世界变化得太快,我编程数月,出去一走,…

实现spark streaming demo时,代码: public static void main (String[] args) { SparkConf conf = new SparkConf().setAppName("Spark_Streaming").setMaster("local"); JavaSparkContext sc = new JavaSparkContext(conf); JavaStreamingContext jssc = new…

Recently I worked on a project, which I started as code first and then I forced to switch to Database first. This post is about executing procedures from EF code first.(This is an update version of this post Here is my class structure and procedures.…

有些元素需要通过滚动条滚动才能变得可见. 如果这些元素在DOM结构里面存在,可以通过scrollIntoView让其可见,但如果在DOM结构里面不存在那就要通过拖动滚动条让其变的可见. Execute Javascript  document.evaluate("//div[@role="progressbar"]", document, null, XPathResult.FIRST_ORDERED_NODE_TYPE, null).singleNodeValue…

Execute Javascript document.evaluate("//a[contains(@href,'createBook')]", document, null, XPathResult.ORDERED_NODE_SNAPSHOT_TYPE, null).snapshotItem(0).click()…

http://weblogs.asp.net/pwelter34/entity-framework-batch-update-and-future-queries…

https://www.quora.com/Why-do-people-integrate-Spark-with-TensorFlow-even-if-there-is-a-distributed-TensorFlow-framework https://www.quora.com/What-is-the-difference-between-TensorFlow-on-Spark-and-the-default-distributed-TensorFlow-1-0 https://www.qu…

Spark-Hadoop集群搭建 视频教程: 1.优酷 2.YouTube 配置java 启动ftp [root@master ~]# /etc/init.d/vsftpd restart 关闭 vsftpd:                                                     [失败] 为 vsftpd 启动 vsftpd:                                               [确定] 默认情况下 root不允许使用f…

[注]该系列文章以及使用到安装包/测试数据 可以在<倾情大奉送--Spark入门实战系列>获取 .编译Hadooop 1.1 搭建环境 1.1.1 安装并设置maven 1. 下载maven安装包,建议安装3.0以上版本,本次安装选择的是maven3.0.5的二进制包,下载地址如下 http://mirror.bit.edu.cn/apache/maven/maven-3/ 2. 使用ssh工具把maven包上传到/home/hadoop/upload目录 3. 解压缩apache-maven…

Spark is a compelling multi-purpose platform for use cases that span investigative, as well as operational, analytics. Data science is a broad church. I am a data scientist — or so I’ve been told — but what I do is actually quite different from what…

一.Mesos的安装和部署 1.下载mesos源码和依赖包 部署环境 centOS 6.6 mesos-0.21.0 spark-1.4.1 因为mesos官方只提供源码,所以必须要自己进行编译安装使用 添加meven源 sudo wget http://repos.fedorapeople.org/repos/dchen/apache-maven/epel-apache-maven.repo -O /etc/yum.repos.d/epel-apache-maven.repo 下载mesos和…

Introduction Apache Spark is a general-purpose cluster computing system to process big data workloads. What sets Spark apart from its predecessors, such as MapReduce, is its speed, ease-of-use, and sophisticated analytics. Apache Spark was originally…

For currently popular distributed framework Spark, here is the intro and step to configure the spark standalone mode on several machines. It is easy to configure it from stratch.  The following instructions is based on the spark-2.0.2-bin-hadoop2.7 a…

1.resilient distributed dataset (RDD) The core programming abstraction in Spark, consisting of a fault-tolerant collection of elements that can be operated on in parallel. 2.partition A subset of the elements in an RDD. Partitions define the unit of…

1.错误描述 TypeError: Error #1034: 强制转换类型失败:无法将 mx.controls::DataGrid@9aa90a1 转换为 spark.core.IViewport. at mx.binding::Binding/defaultDestFunc()[E:\dev\4.0.0\frameworks\projects\framework\src\mx\binding\Binding.as:270] at Function/http://adobe.com/AS3/20…

The versatility of Apache Spark’s API for both batch/ETL and streaming workloads brings the promise of lambda architecture to the real world. Few things help you concentrate like a last-minute change to a major project. One time, after working with a…

简介 Apache Hadoop 2.0 包含 YARN,它将资源管理和处理组件分开.基于 YARN 的架构不受 MapReduce 约束.本文将介绍 YARN,以及它相对于 Hadoop 中以前的分布式处理层的一些优势.本文将了解如何使用 YARN 的可伸缩性.效率和灵活性增强您的集群.   回页首 Apache Hadoop 简介 Apache Hadoop 是一个开源软件框架,可安装在一个商用机器集群中,使机器可彼此通信并协同工作,以高度分布式的方式共同存储和处理大量数据.最初,Hadoo…

目录: 第一部分:操作系统准备工作: 1. 安装部署CentOS7.3 1611 2. CentOS7软件安装(net-tools, wget, vim等) 3. 更新CentOS7的Yum源,更新软件速度更快 4. CentOS 用户配置,Sudo授权 第二部分:Java环境准备 1. JDK1.8 安装与配置 第三部分:Hadoop配置,启动与验证 1. 解压Hadoop2.7.3更新全局变量 2. 更新Hadoop配置文件 3. 启动Hadoop 4. 验证Hadoop =========…

1.海量日志数据,提取出某日访问百度次数最多的那个IP. 解决方案:首先是将这一天,并且是访问百度的日志中的IP取出来,逐个写入到一个大文件中.注意到IP是32位的,最多有个2^32个IP.同样可以采用映射的方法,比如模1000,把整个大文件映射为1000个小文件,再找出每个小文中出现频率最大的IP(可以采用hash_map进行频率统计,然后再找出频率最大的几个)及相应的频率.然后再在这1000个最大的IP中,找出那个频率最大的IP,即为所求. 2.搜索引擎会通过日志文件把用户每次检索使用的所有…

1.hive执行引擎 Hive默认使用MapReduce作为执行引擎,即Hive on mr.实际上,Hive还可以使用Tez和Spark作为其执行引擎,分别为Hive on Tez和Hive on Spark.由于MapReduce中间计算均需要写入磁盘,而Spark是放在内存中,所以总体来讲Spark比MapReduce快很多. 默认情况下,Hive on Spark 在YARN模式下支持Spark. 2.前提条件:安装JDK-1.8/hadoop-2.7.2等,参考之前的博文 3.下载hi…

如何搭建配置centos虚拟机请参考<Kafka:ZK+Kafka+Spark Streaming集群环境搭建(一)VMW安装四台CentOS,并实现本机与它们能交互,虚拟机内部实现可以上网.> 如何配置hadoop2.9.0 HA 请参考<Kafka:ZK+Kafka+Spark Streaming集群环境搭建(十)安装hadoop2.9.0搭建HA> 安装hadoop的服务器: 192.168.0.120 master 192.168.0.121 slave1 192.168.…

PersistenceStreaming没有做特别的事情,DStream最终还是以其中的每个RDD作为job进行调度的,所以persistence就以RDD为单位按照原先Spark的方式去做就可以了,不同的是Streaming是无限,需要考虑Clear的问题在clearMetadata时,在删除过期的RDD的同时,也会做相应的unpersist比较特别的是,NetworkInputDStream,是一定会做persistence的,因为会事先将流数据转化为persist block,然后Netw…

找了这篇文章看了一下面试题<Spark 和hadoop的一些面试题(准备)> http://blog.csdn.net/qiezikuaichuan/article/details/51578743 其中有一道题目很不错,详见: http://www.aboutyun.com/thread-18826-1-1.html http://www.cnblogs.com/lucius/p/3483494.html 我觉得可以在Hadoop上面实际编程做一下. 我觉得第一篇文章里面下面这一段总结的很好…

原文地址:http://www.javacodegeeks.com/2015/02/streaming-big-data-storm-spark-samza.html There are a number of distributed computation systems that can process Big Data in real time or near-real time. This article will start with a short description of th…