Zeppelin IntroductionApache Zeppelin provides a web version of a similar Ipython notebook for data analysis and visualization. The back can be connected to different data processing engines, including Spark, Hive, Tajo, native support Scala, Java, Shell, Markdown and so on. Its overall presentation and use form is the same as the Databricks cloud, which comes from the demo at the time.Zeppelin can achieve w
Pre-deployment:Download, unzip, configure the PATH environment (edit the/etc/profile file, remember to source the file)Zepplin Configuration Reference Documentation: https://zeppelin.apache.org/docs/0.7.2/install/configuration.htmlAdd a port number to the conf/zeppelin-env.sh fileAdd export zepplelin_port=8090 to the bottomModifying the port number in the configuration file Conf/zeppelin-site.xml8090// chan
Zeppelin is an Apache incubation project.A web-based notebook that supports interactive data analysis. You can use SQL, Scala, and so on to make data-driven, interactive, and collaborative documents. (similar to Ipython notebook, you can write code, notes and share directly in the browser)Multi-purpose notebooksTo achieve what you need:- Data Acquisition- Data Discovery- Data Analysis- Visualization and collaboration of dataSupports multiple languages
Spark Integration provides:- Automatic introduction of Sparkcontext and SqlContext- Load the jar packages that are dependent on the runtime from the local file system or from the MAVEN library. - can cancel job and show job progressVisualization of dataSome basic charts are already included in the Zeppelin. Visualization is not limited to sparksql queries, and the output of any language in the backend can
ObjectiveApache Zeppelin is a Web-based notebook (similar to Ipython notebook) that supports interactive data analysis, an interactive data query analysis tool in the form of Web notes. You can use Scala and SQL online to query and analyze data and generate reports. Native support for Spark, Scala, SQL, Shell ,markdown, and more. And it is fully open source, and is still in the Apache incubation stage. It has been used in major companies, such as the
Think immediately can go home, the mood is can't restrain the excitement, alas, or continue to work hard, in fact, do not want to go home so soon, feel back to mean that will come back soon, people really is magicToday we're going to use Zeppelin, and this is how we can visualize the data we're looking for in a graphical way, okay, let's start our mission today.1. First we want to download Zeppelin compress
Zeppelin is a web-based Big Data Interactive data query analysis tool (similar to Python notebook) that can be used to write Scala and SQL code to query and analyze data and generate reports. Developers can also add a data engine for Zeppelin by implementing more interpreters.0. Download Zeppelin: https://zeppelin.incubator.apache.org/download.htmlSelect the comp
Apache Zeppelin installation and introduction, apachezeppelin InstallationBackground
Apache Zeppelin provides a web version similar to ipython notebook for data analysis and visualization. You can access different Data Processing engines, including spark, hive, and tajo. native support for scala, java, shell, and markdown. Its overall presentation and usage form are the same as those of Databricks Cloud, th
BackgroundApache Zeppelin provides a web version of a similar Ipython notebook for data analysis and visualization. The back can be connected to different data processing engines, including Spark, Hive, Tajo, native support Scala, Java, Shell, Markdown and so on. Its overall presentation and use form is the same as the Databricks cloud, which comes from the demo at the time.Install on Mac OSCurrently on GitHub, the
1. OverviewWhen writing flink,spark,hive and other related jobs, it is exciting to be able to quickly visualize the work we have written in front of us, and it would be even better to bring the trend function. Today, I would like to introduce you to such a tool. It will be able to meet the above requirements, in the use of a period of time, here to share the following usage experience.2.How to doFirst, let's look at the background and purpose of this tool. Z
Event timeThe Nineth Spark Meetup event in Beijing will take place on August 22, 2015, 14:00-18:00.Event locationNo. 5th Danleng Street, Haidian District, Beijing, China Microsoft Asia-Pacific Research Group headquarters building 1th BuildingActivity content 1. 《Keynote》 ,分享人:Sejun Ra ,CEO of NFLabs.com 2. 《An introduction to Zeppelin with a demo》,分享人: Anthony Corbacho, Engineer from NFLabs and Apache Zeppelin
This Zeppelin is the official 0.5.6 version, may be in the incubation stage, there may be some bug it.ConfigurationCP zeppelin-env. sh. Template zeppelin-env. SHVI zeppelin-env. SHAdd to:Export java_home=/usr/lib/jvm/java-1.8. 0-openjdk-1.8. 0.65-3. B17.axs7.ppc64leexport hadoop_conf_dir=/etc/hadoop/confStart Zepplein.
Installation: (http://zeppelin.apache.org/docs/0.7.2/manual/interpreterinstallation.html#3rd-party-interpretersThe download is zeppelin-0.7.2-bin-all,package with the all interpreters. Decompression complete.================================================================================Modify configuration. BASHRC# ZeppelinExport Zeppelin_home=/home/raini/app/zeppelinExport path= $ZEPPELIN _home/bin: $PATH
Zeppelin default comes with local spark, can not rely on any cluster, download bin package, unzip the installation can be used.Use a different spark cluster in yarn mode.Configuration:VI zeppelin-env. SHAdd to:Export spark_home=/usr/crh/current/spark-clientexport spark_submit_options="-- Driver-memory 512M--executor-memory 1G"export Hadoop_conf_dir=/etc/hadoop/confZeppelin Interpreter ConfigurationNote: Aft
Zeppelin is a web-note based spark large data interactive data query analysis tool (like the Python notebook) that can write Scala and SQL code online to query and analyze data and generate reports. Developers can also add data engines to the Zeppelin by implementing more interpreters.
0, Download Zeppelin
Download Address: https://zeppelin.incubator.apache.org/
://dl.yarnpkg.com/rpm/yarn.repo-O/etc/yum.repos.d/yarn.repo
If you do not have node. js installed, you should configure the Nodesource repository at the same time:
Curl–silent–location https://rpm.nodesource.com/setup_6.x | Bash-Then execute:Yum Install yarnTo view the installation:4) Install Bower# NPM Install-g BowerInstallation diameter:/usr/local/node/node_global/lib/node_modules/bower/bin perform bower–version display version information installation successful
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:10,958] ({pool-2-thread-2} jdbcinterpreter.java[open]:142)-Key:zeppelin, Value:jdbc.concurrent.max_ Connection INFO [2016-11-03 17:13:10,958] ({pool-2-thread-2} jdbcinterpreter.java[open]:142)-Key:default, Value: Urlerror [2016-11-03 17:13:10,958] ({pool-2-thread-2} jdbcinterpreter.java[open]:159)-Zeppelin would be ignored. Driver.zeppelin and Zeppelin.url is mandatory. INFO [2016-11-03 17:13:10,958] ({pool-2-thread-2} jdbcinterpreter.java[getconnect
Flume:flume is a distributed, reliable service for efficient collection, clustering, and moving large volumes of data. Flume uses a simple and extensible architecture based on streaming data. Flume is robust and fault-tolerant due to its adjustable dependency mechanism and many recovery mechanisms. Flume uses a simple, extensible data model that can be used for online data analysis.Official website: http://flume.apache.org/index.htmlZeppelin: A Web-based notebook that can be used for interactive
One of the above articles, for the use of Zeppelin, is just that we store the data in the file, every time when we are connected to the database, there will be problems, today justTo solve this problem today we're just going to show you how to use Zeppelin to connect to dataFirst of all, such as the previous article, download the compressed package, change the contents of the configuration file, after these
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