apache spark etl tutorial

is only one of the articles. Below is the core point.Spark Memory allocationAny spark program that works on your cluster or local machine is a JVM process (introductory basic tutorial qkxue.net). For any JVM process, you can use-XMX and-XMS to configure its heap size (heap sizes). The question is: how do these processes use its heap memory and why do you need it? The following is slowly unfolding around th

Original address The idea of real-time business intelligence is no longer a novelty (a page on this concept appeared in Wikipedia in 2006). However, although people have been discussing such schemes for many years, I have found that many companies have not actually planned out a clear development idea or even realized the great benefits. Why is that? One big reason is that real-time business intelligence and analytics tools are still very limited on the market today. Traditional Data Warehouse e

mongod start# sudo tail -5000 /var/log/mongodb/mongod.log 2) install PostgreSQL For more information, see:Https://www.digitalocean.com/community/tutorials/how-to-install-and-use-postgresql-on-ubuntu-14-04 # sudo apt-get update# sudo apt-get install postgresql postgresql-contrib 3) install Redis For more information, see:Https://www.digitalocean.com/community/tutorials/how-to-install-and-use-redis # sudo apt-get install build-essential# sudo apt-get install tcl8.5# sudo wget http://download.redi

.jpg"/> 4. download the latest stable version of hadoop, download is hadoop-1.1.2-bin.tar.gz ", the specific official download for the http://mirrors.cnnic.cn/apache/hadoop/common/stable/ in the Local save: 650) This. width = 650; "src =" http://s3.51cto.com/wyfs02/M01/49/48/wKioL1QSYSrwTaReAAEigAk9ucc835.jpg "style =" float: none; "Title =" 7.png" alt = "wkiol1qsysrwtareaaeigak9ucc835.jpg"/> This article is from the

applications.SummaryIn this blog post, you learned how the MapR converged Data Platform integrates Hadoop and Spark with real-time database CA Pabilities, global event streaming, and scalable enterprise storage.References and more information: Free Online training in MapR Streams, Spark, and HBase at learn.mapr.com Getting Started with MapR Streams Blog Ebook:new Designs Using

Apache Spark brief introduction, installation and use, apachespark Apache Spark Introduction Apache Spark is a high-speed general-purpose computing engine used to implement distributed large-scale data processing tasks. Distribute

= Sqlcontext.jsonfile (path)//inferred pattern can be explicitly people.printschema ()//root//|--by using the Printschema () method : integertype// |--name:stringtype//to register Schemardd as a table people.registerastable ("people")// The SQL state can be run by using the SQL method provided by the SqlContext val teenagers = sqlcontext.sql ("Select name from people WHERE age >= 19 In addition, a schemardd can also generate Val Anotherpeoplerdd = Sc.parallelize ("" "{" name ") by storing a s

processing of batch and interactive data. TEZ is being adopted by other frameworks in Hive, Pig, and Hadoop ecosystems, and can also be used as the underlying execution engine with other commercial software, such as ETL tools, to replace Hadoop MapReduce. ZooKeeper: A high-performance distributed application Coordination Service. (The contents of the ZooKeeper are described in later chapters) Many people know that I have big data train

your cluster, and that installing a Hadoop cluster typically extracts the installation software to all the machines in the cluster, referring to the previous section, "Installation configuration on Apache Hadoop single node."Typically, a machine in a cluster is designated as a NameNode and another machine as a ResourceManager. These are all master. Other services, such as the WEB application proxy server and the MapReduce Job history server, run on a

-distributed mode on a single node, where each Hadoop daemon runs as a standalone Java process.ConfigurationUse the following:Etc/hadoop/core-site.xml:123456Etc/hadoop/hdfs-site.xml:Interested can continue to see the next chapter Many people know that I have big data training materials, all naïve thought I have a full set of big data development, Hadoop, spark and other video learning materials. I want to say that you are right, I do have big

/mapreduce/hadoop-mapreduce-examples-2.7.3.jar grep input Output ' dfs[a-z. +1(7) View output fileCopy the output file from the Distributed file system to the local file system view:$ bin/hdfs dfs-get Output output$ cat output/*****12Alternatively, view the output file on the Distributed File system:$ Bin/hdfs Dfs-cat output/*1(8) After completing all the actions, stop the daemon:$ sbin/stop-dfs.sh* * You need to learn to continue reading the next chapter. ** Many people know that I hav