Alex's Hadoop cainiao Tutorial: 7th Sqoop2 export tutorial, hadoopsqoop2
Take over the previous lesson. Now let's talk about the export tutorial.Check connection
First, check whether there are available connection connections. If not, create a connection based on the method of the previous lesson.
sqoop:000> show connector --all1 connector(s) to show: Connector
prompts to entersqoop:000> Create job--xid 1--type exportcreating job for connection with ID 1Please fill following values to create New job Objectname:export to Employeedatabase configurationschema name:table name:employeetable SQL statement:table Co Lumn names:stage table name:clear Stage table:input configurationinput directory:/user/alexthrottling resourcesextract Ors:Loaders:New job is successfully created with validation status FINE and persistent ID 3Perform this tasksqoop:000> Start Jo
Label: style blog HTTP Java Ar data 2014 SP LogHadoop Big Data zero-basic high-end practical training series with text mining projectIn the big data hadoop video tutorial, the basic java syntax, database, and Linux are used to go deep into all the knowledge required by hadoop
Compared with many tutorials, Hive has introduced concepts first. I like to install them first, and then use examples to introduce concepts. Install Hive first. Check whether the corresponding yum source has been installed. If the yum source blog. csdn. netnsrainbowarticledetails42429339hive is not installed according to the yum source file written in this tutorial
Compared with many tutorials, Hive has introduced concepts first. I like to install the
Take over the previous lesson. Now let's talk about exporting the tutorial and check the connection to see if there is any available connection. If not, create a sqoop: 000showconnector -- all1connector (s) toshow according to the method in the previous lesson: connectorwithid1: Name: generic-jdbc-connectorClass: org. apache. sqoop. c
Take over the previous lesson. Now let's talk about exporting the tutorial
Alex's Hadoop cainiao Tutorial: 7th Sqoop2 import tutorial, hadoopsqoop2
For details about the installation and jdbc driver preparation, refer to section 6th. Now I will use an example to explain how to use sqoop2.Data Preparation
There is a mysql table named worker, which contains three pieces of data. We want to import it to
now let's take a closer look at the FileSystem class for Hadoop. This class is used to interact with Hadoop's file system. While we are mainly targeting HDFS here, we should let our code use only abstract class filesystem so that our code can interact with any Hadoop file system. When we write the test code, we can test it with the local file system, use HDFs when deploying, just configure it, no need to mo
IntroductionSince Hadoop is installed on Linux systems, it is necessary to use Eclipse to develop Java on Linux systems. Many companies now require the experience of developing Java on Linux, so this is a great opportunity for a practiced hand. Learning Hadoop is not just learning
!"); }}[Email protected] ~]# Javac Helloworld.java #编译后会出现helloworld. class file[Email protected] ~]# java HelloWorld #运行Hello wolrd!
How do I run the. jar. War for these Java applications?Java-jar/path/to/*.jar [Arg1] [arg2]
#############################################################################Next, you'll know the
the pain.In order to learn C + +, I borrowed from the library a good tutorial "21 days to learn C + +", do not be fooled by this title, the original author of the book is a foreigner, foreigners books are translated, and then published generally good. And actually in order to learn C + +, I paid almost 5, 6 21 days.In the early days of studying this book, it was really scratching, restless and uncomfortable. But with the depth, with the solution of o
then directly use Hadoop to execute the class fileWhen you run a job in a Hadoop cluster, you must package the program as a jar file.In Hadoop local and pseudo-distribution can run the jar file, you can also run the class file directly, note that directly run the class file, must be no map and reducer, directly get filesystem to operate.If the class has a packag
xxx.tar.gz to extract two packages separately and copy them to the/OPT directory. 4. Configure the Java Environment root permission to open the/etc/profile file and add the following at the end:Java_home=/opt/jdk1.7.17path= $JAVA _home/bin: $PATHCLASSPATH =.: $JAVA _home/lib/tools.jar: $JAVA _home/lib/ Dt.jarexport ja
Hadoop mahout Data Mining Practice (algorithm analysis, Project combat, Chinese word segmentation technology)Suitable for people: advancedNumber of lessons: 17 hoursUsing the technology: MapReduce parallel word breaker MahoutProjects involved: Hadoop Integrated Combat-text mining project mahout Data Mining toolsConsulting qq:1840215592Course IntroductionThis course covers the following topics:1. Mahout Data
Many tutorials on the web about Hadoop-2.4 package 64-bit encoding tutorial, the latest version 2.7.2 almost the same, here for everyone to retell.Share two more authoritative attached links:Ubuntu User Recommended Reference: http://www.aboutyun.com/forum.php?mod=viewthreadtid=8130extra=page%3D1page=1CentOS Series User reference: Http://www.cnblogs.com/hadoop2015/p/4259899.html1, the early tool preparation:
Hadoop mahout Data Mining Practice (algorithm analysis, Project combat, Chinese word segmentation technology)Suitable for people: advancedNumber of lessons: 17 hoursUsing the technology: MapReduce parallel word breaker MahoutProjects involved: Hadoop Integrated Combat-text mining project mahout Data Mining toolsConsulting qq:1840215592650) this.width=650; "src=" http://s3.51cto.com/wyfs02/M00/58/0C/wKiom1So
your cluster, and that installing a Hadoop cluster typically extracts the installation software to all the machines in the cluster, referring to the previous section, "Installation configuration on Apache Hadoop single node."Typically, a machine in a cluster is designated as a NameNode and another machine as a ResourceManager. These are all master. Other services, such as the WEB application proxy server a
/mapreduce/hadoop-mapreduce-examples-2.7.3.jar grep input Output ' dfs[a-z. +1(7) View output fileCopy the output file from the Distributed file system to the local file system view:$ 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 cha
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