spark hadoop configuration

Windows-local mode-run Spark:1. Download the winutils version of WindowsOn GitHub, someone provided the winutils version of Windows, the project address is: https://github.com/srccodes/hadoop-common-2.2.0-bin, download the ZIP package for this item directly, After the download is the file name is Hadoop-common-2.2.0-bin-master.zip, arbitrarily extracted to a dire

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Spark1.6.0 on Hadoop-2.6.3 installation configuration 1. Configure Hadoop (1), download Hadoop Mkdir/usr/local/bigdata/hadoopCd/usr/local/bigdata/hadoopwget http://mirror.bit.edu.cn/apache/hadoop/common/hadoop-2.6.3

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Spark StreamingSpark streaming uses the spark API for streaming calculations, which means that streaming and batching are done on spark. So you can reuse batch code, build powerful interactive applications using Spark streaming, and not just analyze data. Spark Streaming Ex

install mysql-server, installing and then installing a similar client-side platform like MySQL Workbench, to make it easy for you to visualize the operation of MySQLHadoop Installation and ConfigurationDownload hadoop1.2.1 tar.gz package, unzip the folder renamed to Hadoop, copy one to/usr/local/below, if your current account does not operate the local folder, remember to use other authorized account to operate,It is best to build a

Step OneIf not, do not set up the HBase development environment blog, see my next blog.HBase Development Environment Building (Eclipse\myeclipse + Maven)　　Step one, need to add. As follows:In the project name, right-click,Then, write Pom.xml, here not much to repeat. SeeHBase Development Environment Building (Eclipse\myeclipse + Maven)When you are done, write the code, right.Step two some steps after the HBase development environment is built (export exported jar package or Ant mode)Here, do not

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the Python environmentExport Pythonpath=/opt/spark-hadoop/pythonSave the file, reboot the computer, make/etc/profile permanent, take effect temporarily, open the command window, execute source/etc/profile in the current windowStep Four:Test the installation ResultsOpen a command window and switch to the spark root directoryExecute./bin/

Http://www.cnblogs.com/davidwang456/p/5032766.htmlWindows under the Spark development environment configuration--This essay is provided by my colleague GE.Windows under the Spark development environment configurationSpecial Note: Under Windows Development Spark does not need to install

Hadoop-2.5.2 cluster installation configuration details, hadoop configuration file details Reprinted please indicate the source: http://blog.csdn.net/tang9140/article/details/42869531 I recently learned how to install hadoop. The steps below are described in detailI. Enviro

As a matter of fact, you can easily configure the distributed framework runtime environment by referring to the hadoop official documentation. However, you can write a little more here, and pay attention to some details, in fact, these details will be explored for a long time. Hadoop can run on a single machine, or you can configure a cluster to run on a single machine. To run on a single machine, you only

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vim /usr/local/spark/conf/spark-env.sh export SPARK_DIST_CLASSPATH=$(/usr/local/hadoop/bin/hadoop classpath) export SCALA_HOME=/usr/local/scala export JAVA_HOME=/opt/jdk1.8.0_65 export SPARK_MASTER=localhost export SPARK_LOCAL_IP=localhost export HADOOP_HOME=/usr/local/