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Apache Flink 是一个分布式流和批处理的开源平台。Flink’s core 是一个流数据引擎，它针对流数据，提供了数据分布，通信和容错，的分布式计算能力。Flink 包含如下几种不同API，用来创建不同的应用DataSet API for 静态数据 嵌入到 Java, Scala, and Python,DataStream API for 流数据

Flink streaming 兼容storm的api 接口，因此可以复用storm写的项目 。你可以:在flink上执行一个完整的storm topology.使用storm的spout和bolt，替换flink的source和operator。本文档展示如何在flink中，复用storm的代码.项目配置执行Storm Topologyflink st

package org.dennisit.elastic.process;import java.util.ArrayList;import java.util.List;import org.dennisit.entity.DataFactory;import org.dennisit.entity.Medicine;import org.elasticsearch.action.i

/* * Licensed to the Apache Software Foundation (ASF) under one * or more contributor license agreements.  See the NOTICE file * distributed with this work for additional information * regardi

/* * Licensed to the Apache Software Foundation (ASF) under one * or more contributor license agreements.  See the NOTICE file * distributed with this work for additional information * regardi

连不上maven库，可以使用oschina提供的：http://maven.oschina.net/content/groups/public/。感觉oschina!!在setting.xml中配置地址为：[html] view plaincopymirrors>      mirror>        id>CNid> 

Maven从中央仓库下载依赖提示Missing artifact的问题？ 分享| 2011-07-22 16:25mmdp12 | 浏览 11068 次本来刚接触maven正在学习中，但在从中央仓库下载jar的时候总是提示Missing artifact 去网站找了下确实有这个jar但就是不能更新到本地仓库?哪位maven高手能指点一下啊，或者有没其它解决办法，或者怎么手动添加

aven报错：maven-archetype-webapp:RELEASE from any of the configured repositories今天学习maven，在控制台下新建maven项目没有问题，但是在STS(eclipse)下创建maven项目老是报错，郁闷死了：-----------------------------------------

eclipse中使用maven插件的时候，运行run as maven build的时候报错-Dmaven.multiModuleProjectDirectory system propery is not set. Check $M2_HOME environment variable and mvn script match. 可以设一个环境变量M2_HOME指向你的m

在maven进行jetty的调试中出现错误：[plain] view plaincopy[ERROR] No plugin found for prefix 'jetty' in the current project and in the plu  gin groups [org.apache.maven.plugins, org.codeha

Flink 的流数据 API 编程指南Flink 的流数据处理程序是常规的程序 ，通过再流数据上，实现了各种转换 (比如 过滤, 更新中间状态, 定义窗口, 聚合)。流数据可以来之多种数据源 (比如, 消息队列, socket 流, 文件). 通过sink组件落地流计算的最终结果，比如可以把数据落地文件系统，标准输出流比如命令行界面， Flink 的程序可以运行在多种上下文环境 ，可以

This document describes Flink’s fault tolerance mechanism for streaming data flows.IntroductionCheckpointingBarriersStateExactly Once vs. At Least OnceRecoveryIntroductionApache Flin

The ProcessesComponent StackProjects and DependenciesThe ProcessesWhen the Flink system is started, it bring up the JobManager and one or more TaskManagers. The JobManager is the coordinat

/* * Licensed to the Apache Software Foundation (ASF) under one * or more contributor license agreements.  See the NOTICE file * distributed with this work for additional information * regardi

Streaming高性能 & 低延迟Flink的流计算实现，仅需要很低的配置，就能实现高吞吐量和低延迟的流数据处理。下面的图表显示了一个分布式流数据的计数任务，的性能和cpu核数的比值。正好一次语义状态的计算流数据应用可以在计算过程中保持自定义状态（state）。

Running Flink on YARN leveraging TezYou can run Flink using Tez as an execution environment. Flink on Tez is currently included in flink-staging in alpha. All classes are located in theorg.apache.

JobManager High Availability (HA)The JobManager is the coordinator of each Flink deployment. It is responsible for both scheduling and resource management.By default, there is a single JobManager

ConfigurationOverviewThe default configuration parameters allow Flink to run out-of-the-box in single node setups.This page lists the most common options that are typically needed to set up a

Build Flink你需要先下载源代码才能 build Flink, 可以直接下载个release版本或者去github上拉下来. 还有Maven 3， Flink 至少需要Java 7.我们推荐使用Java 8。运行下面这行拉源代码:git clone https://github.com/apache/flink最简单的building Fli

本地部署本文档的目的是提供有关如何在一台机器运行Flink。DownloadRequirementsConfigurationStarting Flink下载去下载页面，下载运行包。如果你的应该里用到了Hadoop或者hbase，一定要确认和你下载的flink所依赖的Hadoop版本匹配。当有疑问或您计划只与本地文件系统，可以下载Hadoop 1.2的Fli

YARN SetupQuickstart: Start a long-running Flink cluster on YARNQuickstart: Run a Flink job on YARNApache Flink on Hadoop YARN using a YARN SessionStart Flink SessionSubmit Job to Fl

Cluster SetupThis documentation is intended to provide instructions on how to run Flink in a fully distributed fashion on a static (but possibly heterogeneous) cluster.This involves two steps. Fir

Google Compute Engine SetupThis documentation provides instructions on how to setup Flink fully automatically with Hadoop 1 or Hadoop 2 on top of a Google Compute Enginecluster. This is made possi

转载自http://www.confluent.io/blog/real-time-stream-processing-the-next-step-for-apache-flink/by Neha NarkhedeMay 06, 2015This is a guest blog post written by Kostas Tzoumas and Stephan E

This page contains a collection of best practices for Flink programmers on how to solve frequently encountered problems.Parsing command line arguments and passing them around in your Flink appli

作者：李呈祥 作者简介：Intel BigData Team软件工程师，主要关注大数据计算框架与SQL引擎的性能优化，Apache Hive Committer，Apache Flink Contributor。 责任编辑：仲浩（zhonghao@youkuaiyun.com） 文章来源：《程序员》2月期 版权声明：本文为《程序员》原创文章，未经允许不得转载，订阅2016年《程序员》请点击 h