spark webinars

Build a spark cluster entirely from 0Note: This step, only suitable for the use of root to build, formal environment should have permission classes of things behind another experiment to write tutorials1, install each software, set environment variables (each software needs to download separately)Export java_home=/usr/java/jdk1.8.0_71Export Java_bin=/usr/java/jdk1.8.0_71/binExport path= $JAVA _home/bin: $PATHExport classpath=.: $JAVA _home/lib/dt.jar:

You are welcome to reprint it. Please indicate the source, huichiro.Summary The previous blog shows how to modify the source code to view the call stack. Although it is also very practical, compilation is required for every modification, which takes a lot of time and is inefficient, it is also an invasive modification that is not elegant. This article describes how to use intellij idea to track and debug spark source code.Prerequisites This document a

The spark version tested in this article is 1.3.1Spark Streaming programming Model:The first step:A StreamingContext object is required, which is the portal to the spark streaming operation, and two parameters are required to build a StreamingContext object:1, Sparkconf object: This object is configured by the Spark program settings, such as the master node of th

Content:1, the traditional spark memory management problem;2, Spark unified memory management;3, Outlook;========== the traditional Spark memory management problem ============Spark memory is divided into three parts:Execution:shuffles, Joins, Sort, aggregations, etc., by default, spark.shuffle.memoryfraction default i

transformation processing, the contents of the dataset are changed, the dataset A is converted to DataSet B, and the contents of the dataset are then normalized to a specific value after action has been processed. Only if there is an action on the RDD, all operation on the RDD and its parent RDD will be submitted to cluster for real execution.From code to dynamic running, the components involved are as shown.New Sparkcontext ("spark://...", "MyJob"

1 installing spark-dependent Scala 1.2 Configure environment variables for Scala 1.3 validation Scala 2 Download and decompression spark 3 Spark-related configuration 3.1 Configuring environment variables 3.2 Configure the files in the Conf directory 3.2.1 New Spark-env.h file 3.2.2 New Slaves file 4 test st

Start Hadoop and start Spark.Build a simple test data customers.txt, for convenience, I put it in the Spark/bin directory:John Smith, Austin, TX, 78727200, Joe Johnson, Dallas, TX, 75201300, Bob Jones, Houston, TX, 77028400, Andy Davis, Sa n Antonio, TX, 78227500, James Williams, Austin, TX, 78727Start Spark-sql:./spark-sql.sh　　Map data into a database table:Load

For more than 90% of people who want to learn spark, how to build a spark cluster is one of the greatest difficulties. To solve all the difficulties in building a spark cluster, jia Lin divides the spark cluster construction into four steps, starting from scratch, without any pre-knowledge, covering every detail of the

1. After installing Spark, enter spark in the bin directory: Bin/spark-shell scala> val textfile = Sc.textfile ("/users/admin/spark/ Spark-1.6.1-bin-hadoop2.6/readme.md ") scala> Textfile.flatmap (_.split (" ")). Filter (!_.isempty). Map ((_,1)). Reducebykey (_+_). Collect (

Label:Scenario: Use spark streaming to receive the data sent by Kafka and related query operations to the tables in the relational database;The data format sent by Kafka is: ID, name, Cityid, and the delimiter is tab.1 Zhangsan 12 Lisi 13 Wangwu 24 3The table city structure of MySQL is: ID int, name varchar1 BJ2 sz3 shThe results of this case are: Select S.id, S.name, S.cityid, c.name from student S joins C

Summary: The advent of Apache Spark has made it possible for ordinary people to have big data and real-time data analysis capabilities. In view of this, this article through hands-on Operation demonstration to lead everyone to learn spark quickly. This article is the first part of a four-part tutorial on the Apache Spark Primer series.The advent of Apache

Tags: first trap city ace files register disabled who DDEInstalling spark requires installing the JDK first and installing Scala.1. Create a Directory> Mkdir/opt/spark> Cd/opt/spark2. Unzip, create a soft connection> Tar zxvf spark-2.3.0-bin-hadoop2.7.tgz> Link-s spark-2.3.0-bin-hadoop2.7 Spark4. Edit/etc/profile> Vi/e

Apache Spark Memory Management detailedAs a memory-based distributed computing engine, Spark's memory management module plays a very important role in the whole system. Understanding the fundamentals of spark memory management helps to better develop spark applications and perform performance tuning. The purpose of this paper is to comb out the thread of

The latest virtualization technology of docker cloud computing is gradually becoming the standard of paas lightweight virtualization technology.As an open-source application container engine, docker does not rely on any language, framework, or system, docker using the sandbox mechanism allows developers to package their applications into portable containers and deploy them on all mainstream Linux/Unix systems.This course will go deep into the essence and inside story of docker, from the depth of

ANDROID simulates the sliding jet effect of spark particles and android spark Reprint please indicate this article from the blog of the big glutinous rice (http://blog.csdn.net/a396901990), thank you for your support! Opening nonsense: I changed my cell phone a year ago, SONY's Z3C. The mobile phone has a slide animation when unlocking the screen, similar to spark