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Check out the <a href="https://cwiki.apache.org/confluence/display/FLINK/Powered+by+Flink" target="_blank"><small><span class="glyphicon glyphicon-new-window"></span></small> Powered by Flink directory</a> for a comprehensive list of companies and organizations using Flink.</p> - -<table width="800" align="center" border="0"> - <tr> - <td width="25%" align="center" valign="center"> - <img src="/img/alibaba-logo.png" width="175" alt="Alibaba" /> - </td> - <td width="25%" align="center" valign="center"> - <img src="/img/bouygues-logo.jpg" width="175" alt="Bouygues" /> - </td> - <td width="25%" align="center" valign="center"> - <img src="/img/capital-one-logo.png" width="175" alt="Capital One" /> - </td> - <td width="25%" align="center" valign="center"> - <img src="/img/ericsson-logo.png" width="175" alt="Ericsson" /> - </td> - </tr> - <tr> - <td width="25%" align="left" valign="top"> - Alibaba, the world's largest retailer, built a Flink-based system (Blink) to optimize search rankings in real time. <br /><br /><a href="https://www.youtube.com/watch?v=_Nw8NTdIq9A" target="_blank"><small><span class="glyphicon glyphicon-new-window"></span></small> See Alibaba's Blink overview from Hadoop Summit 2016 San Jose.</a> - </td> - <td width="25%" align="left" valign="top"> - Bouygues Telecom uses Flink for real-time event processing over billions of Kafka messages per day. <br /><br /><a href="http://data-artisans.com/flink-at-bouygues-html/" target="_blank"><small><span class="glyphicon glyphicon-new-window"></span></small> Read about stream processing with Flink at Bouygues Telecom.</a> - </td> - <td width="25%" align="left" valign="top"> - Capital One, a Fortune 500 financial services company, uses Flink to monitor real-time customer activity. <br /><br /><a href="http://www.slideshare.net/FlinkForward/flink-case-study-capital-one" target="_blank"><small><span class="glyphicon glyphicon-new-window"></span></small> See Capital One's case study slides from Flink Forward 2015.</a> - </td> - <td width="25%" align="left" valign="top"> - Ericsson used Flink to build a real-time anomaly detector over large infrastructures using machine learning. <br /><br /><a href="https://www.oreilly.com/ideas/applying-the-kappa-architecture-in-the-telco-industry" target="_blank"><small><span class="glyphicon glyphicon-new-window"></span></small> Read a detailed overview of Ericsson's architecture on O'Reilly Ideas.</a> - </td> - </tr> - <tr> - <td width="25%" align="center" valign="center"> - <img src="/img/king-logo.png" width="175" alt="King" /> - </td> - <td width="25%" align="center" valign="center"> - <img src="/img/otto-group-logo.jpg" width="175" alt="King" /> - </td> - <td width="25%" align="center" valign="center"> - <img src="/img/researchgate-logo.png" width="175" alt="ResearchGate" /> - </td> - <td width="25%" align="center" valign="center"> - <img src="/img/zalando-logo.png" width="175" alt="Zalando" /> - </td> - </tr> - <tr> - <td width="25%" align="left" valign="top"> - King, the creators of Candy Crush Saga, uses Flink to provide data science teams with real-time analytics. <br /><br /><a href="https://techblog.king.com/rbea-scalable-real-time-analytics-king/" target="_blank"><small><span class="glyphicon glyphicon-new-window"></span></small> Read about their Flink implementation at the King Tech Blog.</a> - </td> - <td width="25%" align="left" valign="top"> - Otto Group, the world's second-largest online retailer, uses Flink for BI stream processing. <br /><br /><a href="http://data-artisans.com/how-we-selected-apache-flink-at-otto-group/" target="_blank"><small><span class="glyphicon glyphicon-new-window"></span></small> Read about their implementation and evaluation process.</a> - </td> - <td width="25%" align="left" valign="top"> - ResearchGate, a social network for scientists, uses Flink for network analysis & near duplicate detection. <br /><br /><a href="http://2015.flink-forward.org/?session=everyday-flink" target="_blank"><small><span class="glyphicon glyphicon-new-window"></span></small> See ResearchGate's presentation from Flink Forward 2015.</a> - <td width="25%" align="left" valign="top"> - Zalando, one of the largest ecommerce companies in Europe, uses Flink for real-time process monitoring. <br /><br /><a href="https://tech.zalando.de/blog/apache-showdown-flink-vs.-spark/" target="_blank"><small><span class="glyphicon glyphicon-new-window"></span></small> Read about their implementation at the Zalando Tech Blog.</a> - </td> -</td></tr></table> - - - </div> -</div> - - - <hr /> - <div class="footer text-center"> - <p>Copyright © 2014-2016 <a href="http://apache.org">The Apache Software Foundation</a>. 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</ul> - </li> - </ul> - </div><!-- /.navbar-collapse --> - </div><!-- /.container --> - </nav> - - - <!-- Main content. --> - <div class="container"> - - -<div class="row"> - <div class="col-sm-8 col-sm-offset-2"> - <div class="row"> - <div class="col-sm-12"><h1>Project</h1></div> - </div> - -<h2 id="history">History</h2> - -<h2 id="incubator-proposal">Incubator Proposal</h2> - -<h2 id="license">License</h2> - -<h2 id="source-code">Source Code</h2> - - - </div> -</div> - - - <hr /> - <div class="footer text-center"> - <p>Copyright © 2014-2016 <a href="http://apache.org">The Apache Software Foundation</a>. All Rights Reserved.</p> - <p>Apache Flink, Apache, and the Apache feather logo are either registered trademarks or trademarks of The Apache Software Foundation.</p> - <p><a href="/privacy-policy.html">Privacy Policy</a> · <a href="/blog/feed.xml">RSS feed</a></p> - </div> - - </div><!-- /.container --> - - <!-- Include all compiled plugins (below), or include individual files as needed --> - <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.4/js/bootstrap.min.js"></script> - <script src="/js/codetabs.js"></script> - - <!-- Google Analytics --> - <script> - (function(i,s,o,g,r,a,m){i['GoogleAnalyticsObject']=r;i[r]=i[r]||function(){ - (i[r].q=i[r].q||[]).push(arguments)},i[r].l=1*new Date();a=s.createElement(o), - m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m) - })(window,document,'script','//www.google-analytics.com/analytics.js','ga'); - - ga('create', 'UA-52545728-1', 'auto'); - ga('send', 'pageview'); - </script> - </body> -</html> http://git-wip-us.apache.org/repos/asf/flink-web/blob/d8883b04/content/q/quickstart-SNAPSHOT.sh ---------------------------------------------------------------------- diff --git a/content/q/quickstart-SNAPSHOT.sh b/content/q/quickstart-SNAPSHOT.sh deleted file mode 100755 index 1b1f2d2..0000000 --- a/content/q/quickstart-SNAPSHOT.sh +++ /dev/null @@ -1,47 +0,0 @@ -#!/usr/bin/env bash - -################################################################################ -# 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 -# regarding copyright ownership. The ASF licenses this file -# to you under the Apache License, Version 2.0 (the -# "License"); you may not use this file except in compliance -# with the License. You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -################################################################################ - - -PACKAGE=quickstart - -mvn archetype:generate \ - -DarchetypeGroupId=org.apache.flink \ - -DarchetypeArtifactId=flink-quickstart-java \ - -DarchetypeVersion=1.2-SNAPSHOT \ - -DgroupId=org.myorg.quickstart \ - -DartifactId=$PACKAGE \ - -Dversion=0.1 \ - -Dpackage=org.myorg.quickstart \ - -DinteractiveMode=false \ - -DarchetypeCatalog=https://repository.apache.org/content/repositories/snapshots/ - -# -# Give some guidance -# -echo -e "\\n\\n" -echo -e "\\tA sample quickstart Flink Job has been created." -echo -e "\\tSwitch into the directory using" -echo -e "\\t\\t cd $PACKAGE" -echo -e "\\tImport the project there using your favorite IDE (Import it as a maven project)" -echo -e "\\tBuild a jar inside the directory using" -echo -e "\\t\\t mvn clean package" -echo -e "\\tYou will find the runnable jar in $PACKAGE/target" -echo -e "\\tConsult our website if you have any troubles: http://flink.apache.org/community.html#mailing-lists" -echo -e "\\n\\n" http://git-wip-us.apache.org/repos/asf/flink-web/blob/d8883b04/content/q/quickstart-scala-SNAPSHOT.sh ---------------------------------------------------------------------- diff --git a/content/q/quickstart-scala-SNAPSHOT.sh b/content/q/quickstart-scala-SNAPSHOT.sh deleted file mode 100755 index 9cfeb2e..0000000 --- a/content/q/quickstart-scala-SNAPSHOT.sh +++ /dev/null @@ -1,47 +0,0 @@ -#!/usr/bin/env bash - -################################################################################ -# Licensed to the Apache Software Foundation (ASF) under one -# or more contributor license agreements. See the NOTICE file -# distributed with this work for additional information -# regarding copyright ownership. The ASF licenses this file -# to you under the Apache License, Version 2.0 (the -# "License"); you may not use this file except in compliance -# with the License. You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -################################################################################ - - -PACKAGE=quickstart - -mvn archetype:generate \ - -DarchetypeGroupId=org.apache.flink \ - -DarchetypeArtifactId=flink-quickstart-scala \ - -DarchetypeVersion=1.2-SNAPSHOT \ - -DgroupId=org.myorg.quickstart \ - -DartifactId=$PACKAGE \ - -Dversion=0.1 \ - -Dpackage=org.myorg.quickstart \ - -DinteractiveMode=false \ - -DarchetypeCatalog=https://repository.apache.org/content/repositories/snapshots/ - -# -# Give some guidance -# -echo -e "\\n\\n" -echo -e "\\tA sample quickstart Flink Job has been created." -echo -e "\\tSwitch into the directory using" -echo -e "\\t\\t cd $PACKAGE" -echo -e "\\tImport the project there using your favorite IDE (Import it as a maven project)" -echo -e "\\tBuild a jar inside the directory using" -echo -e "\\t\\t mvn clean package" -echo -e "\\tYou will find the runnable jar in $PACKAGE/target" -echo -e "\\tConsult our website if you have any troubles: http://flink.apache.org/community.html#mailing-lists" -echo -e "\\n\\n" http://git-wip-us.apache.org/repos/asf/flink-web/blob/d8883b04/content/q/quickstart-scala.sh ---------------------------------------------------------------------- diff --git a/content/q/quickstart-scala.sh b/content/q/quickstart-scala.sh deleted file mode 100755 index 019c6e0..0000000 --- a/content/q/quickstart-scala.sh +++ /dev/null @@ -1,46 +0,0 @@ -#!/usr/bin/env bash - -################################################################################ -# Licensed to the Apache Software Foundation (ASF) under one -# or more contributor license agreements. See the NOTICE file -# distributed with this work for additional information -# regarding copyright ownership. The ASF licenses this file -# to you under the Apache License, Version 2.0 (the -# "License"); you may not use this file except in compliance -# with the License. You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -################################################################################ - - -PACKAGE=quickstart - -mvn archetype:generate \ - -DarchetypeGroupId=org.apache.flink \ - -DarchetypeArtifactId=flink-quickstart-scala \ - -DarchetypeVersion=1.1.3 \ - -DgroupId=org.myorg.quickstart \ - -DartifactId=$PACKAGE \ - -Dversion=0.1 \ - -Dpackage=org.myorg.quickstart \ - -DinteractiveMode=false - -# -# Give some guidance -# -echo -e "\\n\\n" -echo -e "\\tA sample quickstart Flink Job has been created." -echo -e "\\tSwitch into the directory using" -echo -e "\\t\\t cd $PACKAGE" -echo -e "\\tImport the project there using your favorite IDE (Import it as a maven project)" -echo -e "\\tBuild a jar inside the directory using" -echo -e "\\t\\t mvn clean package" -echo -e "\\tYou will find the runnable jar in $PACKAGE/target" -echo -e "\\tConsult our website if you have any troubles: http://flink.apache.org/community.html#mailing-lists" -echo -e "\\n\\n" http://git-wip-us.apache.org/repos/asf/flink-web/blob/d8883b04/content/q/quickstart.sh ---------------------------------------------------------------------- diff --git a/content/q/quickstart.sh b/content/q/quickstart.sh deleted file mode 100755 index 972400a..0000000 --- a/content/q/quickstart.sh +++ /dev/null @@ -1,46 +0,0 @@ -#!/usr/bin/env bash - -################################################################################ -# Licensed to the Apache Software Foundation (ASF) under one -# or more contributor license agreements. See the NOTICE file -# distributed with this work for additional information -# regarding copyright ownership. The ASF licenses this file -# to you under the Apache License, Version 2.0 (the -# "License"); you may not use this file except in compliance -# with the License. You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -################################################################################ - - -PACKAGE=quickstart - -mvn archetype:generate \ - -DarchetypeGroupId=org.apache.flink \ - -DarchetypeArtifactId=flink-quickstart-java \ - -DarchetypeVersion=1.1.3 \ - -DgroupId=org.myorg.quickstart \ - -DartifactId=$PACKAGE \ - -Dversion=0.1 \ - -Dpackage=org.myorg.quickstart \ - -DinteractiveMode=false - -# -# Give some guidance -# -echo -e "\\n\\n" -echo -e "\\tA sample quickstart Flink Job has been created." -echo -e "\\tSwitch into the directory using" -echo -e "\\t\\t cd $PACKAGE" -echo -e "\\tImport the project there using your favorite IDE (Import it as a maven project)" -echo -e "\\tBuild a jar inside the directory using" -echo -e "\\t\\t mvn clean package" -echo -e "\\tYou will find the runnable jar in $PACKAGE/target" -echo -e "\\tConsult our website if you have any troubles: http://flink.apache.org/community.html#mailing-lists" -echo -e "\\n\\n" http://git-wip-us.apache.org/repos/asf/flink-web/blob/d8883b04/content/q/sbt-quickstart.sh ---------------------------------------------------------------------- diff --git a/content/q/sbt-quickstart.sh b/content/q/sbt-quickstart.sh deleted file mode 100755 index 78abcb8..0000000 --- a/content/q/sbt-quickstart.sh +++ /dev/null @@ -1,346 +0,0 @@ -#!/bin/bash - -################################################################################ -# 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 -# regarding copyright ownership. The ASF licenses this file -# to you under the Apache License, Version 2.0 (the -# "License"); you may not use this file except in compliance -# with the License. You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -################################################################################ - -declare -r TRUE=0 -declare -r FALSE=1 - -# takes a string and returns true if it seems to represent "yes" -function isYes() { - local x=$1 - [ $x = "y" -o $x = "Y" -o $x = "yes" ] && echo $TRUE; return - echo $FALSE -} - -function mkDir() { - local x=$1 - echo ${x// /-} | tr '[:upper:]' '[:lower:]' -} - -function mkPackage() { - local x=$1 - echo ${x//./\/} -} - -defaultProjectName="Flink Project" -defaultOrganization="org.example" -defaultVersion="0.1-SNAPSHOT" -defaultScalaVersion="2.11.7" -defaultFlinkVersion="1.1.3" - -echo "This script creates a Flink project using Scala and SBT." - -while [ $TRUE ]; do - - echo "" - read -p "Project name ($defaultProjectName): " projectName - projectName=${projectName:-$defaultProjectName} - read -p "Organization ($defaultOrganization): " organization - organization=${organization:-$defaultOrganization} - read -p "Version ($defaultVersion): " version - version=${version:-$defaultVersion} - read -p "Scala version ($defaultScalaVersion): " scalaVersion - scalaVersion=${scalaVersion:-$defaultScalaVersion} - read -p "Flink version ($defaultFlinkVersion): " flinkVersion - flinkVersion=${flinkVersion:-$defaultFlinkVersion} - - echo "" - echo "-----------------------------------------------" - echo "Project Name: $projectName" - echo "Organization: $organization" - echo "Version: $version" - echo "Scala version: $scalaVersion" - echo "Flink version: $flinkVersion" - echo "-----------------------------------------------" - read -p "Create Project? (Y/n): " createProject - createProject=${createProject:-y} - - [ "$(isYes "$createProject")" = "$TRUE" ] && break - -done - -directoryName=$(mkDir "$projectName") - -echo "Creating Flink project under $directoryName" - -mkdir -p ${directoryName}/src/main/{resources,scala} -mkdir -p ${directoryName}/project - -# Create the README file - -echo "A Flink application project using Scala and SBT. - -To run and test your application use SBT invoke: 'sbt run' - -In order to run your application from within IntelliJ, you have to select the classpath of the 'mainRunner' module in the run/debug configurations. Simply open 'Run -> Edit configurations...' and then select 'mainRunner' from the "Use classpath of module" dropbox." > ${directoryName}/README - -# Create the build.sbt file - -echo "resolvers in ThisBuild ++= Seq(\"Apache Development Snapshot Repository\" at \"https://repository.apache.org/content/repositories/snapshots/\", Resolver.mavenLocal) - -name := \"$projectName\" - -version := \"$version\" - -organization := \"$organization\" - -scalaVersion in ThisBuild := \"$scalaVersion\" - -val flinkVersion = \"$flinkVersion\" - -val flinkDependencies = Seq( - \"org.apache.flink\" %% \"flink-scala\" % flinkVersion % \"provided\", - \"org.apache.flink\" %% \"flink-streaming-scala\" % flinkVersion % \"provided\") - -lazy val root = (project in file(\".\")). - settings( - libraryDependencies ++= flinkDependencies - ) - -mainClass in assembly := Some(\"$organization.Job\") - -// make run command include the provided dependencies -run in Compile <<= Defaults.runTask(fullClasspath in Compile, mainClass in (Compile, run), runner in (Compile, run)) - -// exclude Scala library from assembly -assemblyOption in assembly := (assemblyOption in assembly).value.copy(includeScala = false)" > ${directoryName}/build.sbt - -# Create idea.sbt file for mainRunner module for IntelliJ - -echo "lazy val mainRunner = project.in(file(\"mainRunner\")).dependsOn(RootProject(file(\".\"))).settings( - // we set all provided dependencies to none, so that they are included in the classpath of mainRunner - libraryDependencies := (libraryDependencies in RootProject(file(\".\"))).value.map{ - module => - if (module.configurations.equals(Some(\"provided\"))) { - module.copy(configurations = None) - } else { - module - } - } -)" > ${directoryName}/idea.sbt - -# Create assembly plugin file - -echo "addSbtPlugin(\"com.eed3si9n\" % \"sbt-assembly\" % \"0.14.1\")" > ${directoryName}/project/assembly.sbt - -# Create package structure - -mkdir -p ${directoryName}/src/main/scala/$(mkPackage $organization) - -# Create simple job skeleton - -echo "package $organization - -/** - * 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 - * regarding copyright ownership. The ASF licenses this file - * to you under the Apache License, Version 2.0 (the - * \"License\"); you may not use this file except in compliance - * with the License. You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an \"AS IS\" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -import org.apache.flink.api.scala._ - -/** - * Skeleton for a Flink Job. - * - * You can also generate a .jar file that you can submit on your Flink - * cluster. Just type - * {{{ - * sbt clean assembly - * }}} - * in the projects root directory. You will find the jar in - * target/scala-2.11/Flink\ Project-assembly-0.1-SNAPSHOT.jar - * - */ -object Job { - def main(args: Array[String]) { - // set up the execution environment - val env = ExecutionEnvironment.getExecutionEnvironment - - /** - * Here, you can start creating your execution plan for Flink. - * - * Start with getting some data from the environment, like - * env.readTextFile(textPath); - * - * then, transform the resulting DataSet[String] using operations - * like: - * .filter() - * .flatMap() - * .join() - * .group() - * - * and many more. - * Have a look at the programming guide: - * - * http://flink.apache.org/docs/latest/programming_guide.html - * - * and the examples - * - * http://flink.apache.org/docs/latest/examples.html - * - */ - - - // execute program - env.execute(\"Flink Scala API Skeleton\") - } -}" > ${directoryName}/src/main/scala/$(mkPackage $organization)/Job.scala - -# Create WordCount example - -echo "package $organization - -/** - * 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 - * regarding copyright ownership. The ASF licenses this file - * to you under the Apache License, Version 2.0 (the - * \"License\"); you may not use this file except in compliance - * with the License. You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an \"AS IS\" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -import org.apache.flink.api.scala._ - -/** - * Implements the \"WordCount\" program that computes a simple word occurrence histogram - * over some sample data - * - * This example shows how to: - * - * - write a simple Flink program. - * - use Tuple data types. - * - write and use user-defined functions. - */ -object WordCount { - def main(args: Array[String]) { - - // set up the execution environment - val env = ExecutionEnvironment.getExecutionEnvironment - - // get input data - val text = env.fromElements(\"To be, or not to be,--that is the question:--\", - \"Whether 'tis nobler in the mind to suffer\", \"The slings and arrows of outrageous fortune\", - \"Or to take arms against a sea of troubles,\") - - val counts = text.flatMap { _.toLowerCase.split(\"\\\\W+\") } - .map { (_, 1) } - .groupBy(0) - .sum(1) - - // execute and print result - counts.print() - - } -} -" > ${directoryName}/src/main/scala/$(mkPackage $organization)/WordCount.scala - -# Create SocketTextStreamWordCount example - -echo "package $organization - -/* - * 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 - * regarding copyright ownership. The ASF licenses this file - * to you under the Apache License, Version 2.0 (the - * \"License\"); you may not use this file except in compliance - * with the License. You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an \"AS IS\" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -import org.apache.flink.streaming.api.scala._ - -/** - * This example shows an implementation of WordCount with data from a text socket. - * To run the example make sure that the service providing the text data is already up and running. - * - * To start an example socket text stream on your local machine run netcat from a command line, - * where the parameter specifies the port number: - * - * {{{ - * nc -lk 9999 - * }}} - * - * Usage: - * {{{ - * SocketTextStreamWordCount <hostname> <port> <output path> - * }}} - * - * This example shows how to: - * - * - use StreamExecutionEnvironment.socketTextStream - * - write a simple Flink Streaming program in scala. - * - write and use user-defined functions. - */ -object SocketTextStreamWordCount { - - def main(args: Array[String]) { - if (args.length != 2) { - System.err.println(\"USAGE:\nSocketTextStreamWordCount <hostname> <port>\") - return - } - - val hostName = args(0) - val port = args(1).toInt - - val env = StreamExecutionEnvironment.getExecutionEnvironment - - //Create streams for names and ages by mapping the inputs to the corresponding objects - val text = env.socketTextStream(hostName, port) - val counts = text.flatMap { _.toLowerCase.split(\"\\\\W+\") filter { _.nonEmpty } } - .map { (_, 1) } - .keyBy(0) - .sum(1) - - counts print - - env.execute(\"Scala SocketTextStreamWordCount Example\") - } - -} -" > ${directoryName}/src/main/scala/$(mkPackage $organization)/SocketTextStreamWordCount.scala http://git-wip-us.apache.org/repos/asf/flink-web/blob/d8883b04/content/slides.html ---------------------------------------------------------------------- diff --git a/content/slides.html b/content/slides.html deleted file mode 100644 index 45f6985..0000000 --- a/content/slides.html +++ /dev/null @@ -1,282 +0,0 @@ -<!DOCTYPE html> -<html lang="en"> - 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</ul> - </li> - </ul> - </div><!-- /.navbar-collapse --> - </div><!-- /.container --> - </nav> - - - <!-- Main content. --> - <div class="container"> - - -<div class="row"> - <div class="col-sm-8 col-sm-offset-2"> - <div class="row"> - <div class="col-sm-12"><h1>Slides</h1></div> - </div> - -<div class="page-toc"> -<ul id="markdown-toc"> - <li><a href="#training" id="markdown-toc-training">Training</a></li> - <li><a href="#flink-forward" id="markdown-toc-flink-forward">Flink Forward</a></li> - <li><a href="#slides" id="markdown-toc-slides">Slides</a> <ul> - <li><a href="#section" id="markdown-toc-section">2016</a></li> - <li><a href="#section-1" id="markdown-toc-section-1">2015</a></li> - <li><a href="#section-2" id="markdown-toc-section-2">2014</a></li> - </ul> - </li> -</ul> - -</div> - -<h2 id="training">Training</h2> - -<p>Currently, there is a free training available by <a href="http://data-artisans.com">dataArtisans</a>. Their <a href="http://dataartisans.github.io/flink-training">training website</a> contains slides and exercices with solutions. The slides are also available on <a href="http://www.slideshare.net/dataArtisans/presentations">SlideShare</a>.</p> - -<h2 id="flink-forward">Flink Forward</h2> - -<p>Flink Forward 2015 (October 12-13, 2015) was the first conference to bring together the Apache Flink developer and user community. You can find <a href="http://2015.flink-forward.org/?post_type=session">slides and videos</a> of all talks on the Flink Forward 2015 page.</p> - -<p>On September 12-14, 2016 the second edition of Flink Forward took place. All <a href="http://flink-forward.org/program/sessions/">slides and videos</a> are available on the Flink Forward 2016 page.</p> - -<h2 id="slides">Slides</h2> - -<p><strong>Note</strong>: Keep in mind that code examples on slides have a chance of being incomplete or outdated. Always refer to the <a href="http://ci.apache.org/projects/flink/flink-docs-release-1.2">latest documentation</a> for an up to date reference.</p> - -<h3 id="section">2016</h3> - -<ul> - <li>Stefan Richter: <strong>A look at Apache Flink 1.2 and beyond</strong> <em>Apache Flink Meetup Berlin, November 2016</em>: <a href="http://www.slideshare.net/StefanRichter10/a-look-at-flink-12">SlideShare</a></li> - <li>Robert Metzger: <strong>Apache Flink Community Updates November 2016</strong> <em>Apache Flink Meetup Berlin, November 2016</em>: <a href="http://www.slideshare.net/robertmetzger1/apache-flink-community-updates-november-2016-berlin-meetup">SlideShare</a></li> - <li>Aljoscha Krettek: <strong>Apache Flink for IoT: How Event-Time Processing Enables Easy and Accurate Analytics</strong> <em>Big Data Spain, Madrid November 2016</em>: <a href="http://www.slideshare.net/dataArtisans/aljoscha-krettek-apache-flink-for-iot-how-eventtime-processing-enables-easy-and-accurate-analytics">SlideShare</a></li> - <li>Stephan Ewen: <strong>Keynote -The maturing data streaming ecosystem and Apache Flinkâs accelerated growth</strong> <em>Apache Big Data Europe 2016, Seville November 2016</em>: <a href="http://www.slideshare.net/dataArtisans/keynote-stephan-ewen-stream-processing-as-a-foundational-paradigm-and-apache-flinks-approach-to-it">SlideShare</a></li> - <li>Kostas Tzoumas: <strong>Stream Processing with Apache Flink®</strong> <em>Apache Flink London Meetup, November 2016</em>: <a href="http://www.slideshare.net/dataArtisans/kostas-tzoumas-stream-processing-with-apache-flink">SlideShare</a></li> - <li>Kostas Tzoumas: <strong>Apache Flink®: State of the Union and Whatâs Next</strong> <em>Strata + Hadoop World New York, September 2016</em>: <a href="http://www.slideshare.net/dataArtisans/kostas-tzoumas-apache-flink-state-of-the-union-and-whats-next">SlideShare</a></li> - <li>Kostas Tzoumas & Stephan Ewen: <strong>Keynote -The maturing data streaming ecosystem and Apache Flinkâs accelerated growth</strong> <em>Flink Forward, Berlin September 2016</em>: <a href="http://www.slideshare.net/FlinkForward/kostas-tzoumasstpehan-ewen-keynote-the-maturing-data-streaming-ecosystem-and-apache-flinks-accelerated-growth">SlideShare</a></li> - <li>Robert Metzger: <strong>Connecting Apache Flink to the World - Reviewing the streaming connectors</strong> <em>Flink Forward, Berlin September 2016</em>: <a href="http://www.slideshare.net/FlinkForward/robert-metzger-connecting-apache-flink-to-the-world-reviewing-the-streaming-connectors">SlideShare</a></li> - <li>Till Rohrmann & Fabian Hueske: <strong>Declarative stream processing with StreamSQL and CEP</strong> <em>Flink Forward, Berlin September 2016</em>: <a href="http://www.slideshare.net/FlinkForward/fabian-huesketill-rohrmann-declarative-stream-processing-with-streamsql-and-cep">SlideShare</a></li> - <li>Jamie Grier: <strong>Robust Stream Processing with Apache Flink</strong> <em>Flink Forward, Berlin September 2016</em>: <a href="http://www.slideshare.net/FlinkForward/jamie-grier-robust-stream-processing-with-apache-flink">SlideShare</a></li> - <li>Jamie Grier: <strong>The Stream Processor as a Database- Building Online Applications directly on Streams</strong> <em>Flink Forward, Berlin September 2016</em>: <a href="http://www.slideshare.net/FlinkForward/jamie-grier-the-stream-processor-as-a-database-building-online-applications-directly-on-streams">SlideShare</a></li> - <li>Till Rohrmann: <strong>Dynamic Scaling - How Apache Flink adapts to changing workloads</strong> <em>Flink Forward, Berlin September 2016</em>: <a href="http://www.slideshare.net/FlinkForward/till-rohrmann-dynamic-scaling-how-apache-flink-adapts-to-changing-workloads">SlideShare</a></li> - <li>Stephan Ewen: <strong>Running Flink Everywhere</strong> <em>Flink Forward, Berlin September 2016</em>: <a href="http://www.slideshare.net/FlinkForward/stephan-ewen-running-flink-everywhere">SlideShare</a></li> - <li>Stephan Ewen: <strong>Scaling Apache Flink to very large State</strong> <em>Flink Forward, Berlin September 2016</em>: <a href="http://www.slideshare.net/FlinkForward/stephan-ewen-scaling-to-large-state">SlideShare</a></li> - <li>Aljoscha Krettek: <strong>The Future of Apache Flink</strong> <em>Flink Forward, Berlin September 2016</em>: <a href="http://www.slideshare.net/FlinkForward/aljoscha-krettek-the-future-of-apache-flink">SlideShare</a></li> - <li>Fabian Hueske: <strong>Taking a look under the hood of Apache Flinkâs relational APIs</strong> <em>Flink Forward, Berlin September 2016</em>: <a href="http://www.slideshare.net/fhueske/taking-a-look-under-hood-of-apache-flinks-relational-apis">SlideShare</a></li> - <li>Kostas Tzoumas: <strong>Streaming in the Wild with Apache Flink</strong> <em>Hadoop Summit San Jose, June 2016</em>: <a href="http://www.slideshare.net/KostasTzoumas/streaming-in-the-wild-with-apache-flink-63790942">SlideShare</a></li> - <li>Stephan Ewen: <strong>The Stream Processor as the Database - Apache Flink</strong> <em>Berlin Buzzwords, June 2016</em>: <a href="http://www.slideshare.net/stephanewen1/the-stream-processor-as-the-database-apache-flink-berlin-buzzwords">SlideShare</a></li> - <li>Till Rohrmann & Fabian Hueske: <strong>Streaming Analytics & CEP - Two sides of the same coin?</strong> <em>Berlin Buzzwords, June 2016</em>: <a href="http://www.slideshare.net/tillrohrmann/streaming-analytics-cep-two-sides-of-the-same-coin">SlideShare</a></li> - <li>Robert Metzger: <strong>A Data Streaming Architecture with Apache Flink</strong> <em>Berlin Buzzwords, June 2016</em>: <a href="http://www.slideshare.net/robertmetzger1/a-data-streaming-architecture-with-apache-flink-berlin-buzzwords-2016">SlideShare</a></li> - <li>Stephan Ewen: <strong>Continuous Processing with Apache Flink</strong> <em>Strata + Hadoop World London, May 2016</em>: <a href="http://www.slideshare.net/stephanewen1/continuous-processing-with-apache-flink-strata-london-2016">SlideShare</a></li> - <li>Stephan Ewen: <strong>Streaming Analytics with Apache Flink 1.0</strong> <em>Flink NYC Flink, May 2016</em>: <a href="http://www.slideshare.net/stephanewen1/apache-flink-myc-flink-meetup">SlideShare</a></li> - <li>Ufuk Celebi: <strong>Unified Stream & Batch Processing with Apache Flink</strong>. <em>Hadoop Summit Dublin, April 2016</em>: <a href="http://www.slideshare.net/HadoopSummit/unified-stream-and-batch-processing-with-apache-flink">SlideShare</a></li> - <li>Kostas Tzoumas: <strong>Counting Elements in Streams</strong>. <em>Strata San Jose, March 2016</em>: <a href="http://www.slideshare.net/KostasTzoumas/apache-flink-at-strata-san-jose-2016">SlideShare</a></li> - <li>Jamie Grier: <strong>Extending the Yahoo! Streaming Benchmark</strong>. <em>Flink Washington DC Meetup, March 2016</em>: <a href="http://www.slideshare.net/JamieGrier/extending-the-yahoo-streaming-benchmark">SlideShare</a></li> - <li>Jamie Grier: <strong>Stateful Stream Processing at In-Memory Speed</strong>. <em>Flink NYC Meetup, March 2016</em>: <a href="http://www.slideshare.net/JamieGrier/stateful-stream-processing-at-inmemory-speed">SlideShare</a></li> - <li>Robert Metzger: <strong>Stream Processing with Apache Flink</strong>. <em>QCon London, March 2016</em>: <a href="http://www.slideshare.net/robertmetzger1/qcon-london-stream-processing-with-apache-flink">SlideShare</a></li> - <li>Vasia Kalavri: <strong>Batch and Stream Graph Processing with Apache Flink</strong>. <em>Flink and Neo4j Meetup Berlin, March 2016</em>: <a href="http://www.slideshare.net/vkalavri/batch-and-stream-graph-processing-with-apache-flink">SlideShare</a></li> - <li>Maximilian Michels: <strong>Stream Processing with Apache Flink</strong>. <em>Big Data Technology Summit, February 2016</em>: -<a href="http://de.slideshare.net/MaximilianMichels/big-datawarsaw-animated">SlideShare</a></li> - <li>Vasia Kalavri: <strong>Single-Pass Graph Streaming Analytics with Apache Flink</strong>. <em>FOSDEM, January 2016</em>: <a href="http://www.slideshare.net/vkalavri/gellystream-singlepass-graph-streaming-analytics-with-apache-flink">SlideShare</a></li> - <li>Till Rohrmann: <strong>Streaming Done Right</strong>. <em>FOSDEM, January 2016</em>: <a href="http://www.slideshare.net/tillrohrmann/apache-flink-streaming-done-right-fosdem-2016">SlideShare</a></li> -</ul> - -<h3 id="section-1">2015</h3> - -<ul> - <li>Till Rohrmann: <strong>Streaming Data Flow with Apache Flink</strong> <em>(October 29th, 2015)</em>: <a href="http://www.slideshare.net/tillrohrmann/streaming-data-flow-with-apache-flink-paris-flink-meetup-2015-54572718">SlideShare</a></li> - <li>Stephan Ewen: <strong>Flink-0.10</strong> <em>(October 28th, 2015)</em>: <a href="http://www.slideshare.net/stephanewen1/flink-010-bay-area-meetup-october-2015">SlideShare</a></li> - <li>Robert Metzger: <strong>Architecture of Flinkâs Streaming Runtime</strong> <em>(ApacheCon, September 29th, 2015)</em>: <a href="http://www.slideshare.net/robertmetzger1/architecture-of-flinks-streaming-runtime-apachecon-eu-2015">SlideShare</a></li> - <li>Robert Metzger: <strong>Click-Through Example for Flinkâs KafkaConsumer Checkpointing</strong> <em>(September, 2015)</em>: <a href="http://www.slideshare.net/robertmetzger1/clickthrough-example-for-flinks-kafkaconsumer-checkpointing">SlideShare</a></li> - <li>Paris Carbone: <strong>Apache Flink Streaming. Resiliency and Consistency</strong> (Google Tech Talk, August 2015: <a href="http://www.slideshare.net/ParisCarbone/tech-talk-google-on-flink-fault-tolerance-and-ha">SlideShare</a></li> - <li>Andra Lungu: <strong>Graph Processing with Apache Flink</strong> <em>(August 26th, 2015)</em>: <a href="http://www.slideshare.net/AndraLungu/flink-gelly-karlsruhe-june-2015">SlideShare</a></li> - <li>Till Rohrmann: <strong>Interactive data analytisis with Apache Flink</strong> <em>(June 23rd, 2015)</em>: <a href="http://www.slideshare.net/tillrohrmann/data-analysis-49806564">SlideShare</a></li> - <li>Gyula Fóra: <strong>Real-time data processing with Apache Flink</strong> <em>(Budapest Data Forum, June 4th, 2015)</em>: <a href="http://www.slideshare.net/GyulaFra/flink-streaming-budapestdata">SlideShare</a></li> - <li>Till Rohrmann: <strong>Machine Learning with Apache Flink</strong> <em>(March 23th, 2015)</em>: <a href="http://www.slideshare.net/tillrohrmann/machine-learning-with-apache-flink">SlideShare</a></li> - <li>Marton Balassi: <strong>Flink Streaming</strong> <em>(February 26th, 2015)</em>: <a href="http://www.slideshare.net/MrtonBalassi/flink-streaming-berlin-meetup">SlideShare</a></li> - <li>Vasia Kalavri: <strong>Large-Scale Graph Processing with Apache Flink</strong> <em>(FOSDEM, 31st January, 2015)</em>: <a href="http://www.slideshare.net/vkalavri/largescale-graph-processing-with-apache-flink-graphdevroom-fosdem15">SlideShare</a></li> - <li>Fabian Hueske: <strong>Hadoop Compatibility</strong> <em>(January 28th, 2015)</em>: <a href="http://www.slideshare.net/fhueske/flink-hadoopcompat20150128">SlideShare</a></li> - <li>Kostas Tzoumas: <strong>Apache Flink Overview</strong> <em>(January 14th, 2015)</em>: <a href="http://www.slideshare.net/KostasTzoumas/apache-flink-api-runtime-and-project-roadmap">SlideShare</a></li> -</ul> - -<h3 id="section-2">2014</h3> - -<ul> - <li>Kostas Tzoumas: <strong>Flink Internals</strong> <em>(November 18th, 2014)</em>: <a href="http://www.slideshare.net/KostasTzoumas/flink-internals">SlideShare</a></li> - <li>Marton Balassi & Gyula Fóra: <strong>The Flink Big Data Analytics Platform</strong> <em>(ApachecCon, November 11th, 2014)</em>: <a href="http://www.slideshare.net/GyulaFra/flink-apachecon">SlideShare</a></li> - <li>Till Rohrmann: <strong>Introduction to Apache Flink</strong> <em>(October 15th, 2014)</em>: <a href="http://www.slideshare.net/tillrohrmann/introduction-to-apache-flink">SlideShare</a></li> -</ul> - - - </div> -</div> - - - <hr /> - <div class="footer text-center"> - <p>Copyright © 2014-2016 <a href="http://apache.org">The Apache Software Foundation</a>. All Rights Reserved.</p> - <p>Apache Flink, Apache, and the Apache feather logo are either registered trademarks or trademarks of The Apache Software Foundation.</p> - <p><a href="/privacy-policy.html">Privacy Policy</a> · <a href="/blog/feed.xml">RSS feed</a></p> - </div> - - </div><!-- /.container --> - - <!-- Include all compiled plugins (below), or include individual files as needed --> - <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.4/js/bootstrap.min.js"></script> - <script src="/js/codetabs.js"></script> - - <!-- Google Analytics --> - <script> - (function(i,s,o,g,r,a,m){i['GoogleAnalyticsObject']=r;i[r]=i[r]||function(){ - (i[r].q=i[r].q||[]).push(arguments)},i[r].l=1*new Date();a=s.createElement(o), - m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m) - })(window,document,'script','//www.google-analytics.com/analytics.js','ga'); - - ga('create', 'UA-52545728-1', 'auto'); - ga('send', 'pageview'); - </script> - </body> -</html>
