hadoop tutorial ppt

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

-site.xmlConfiguration content:: Wq Save Exit# vim/etc/profile (Hadoop environment variable configuration)Export hadoop_home=/opt/hadoop-1.2.1Export path= $JAVA _home/bin: $JRE _home/bin: $HADOOP _home/bin: $PATH: Wq Save Exit# Source/etc/profile (setting takes effect)# Hadoop (Detect

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

configuration file are: Run the ": WQ" command to save and exit. Through the above configuration, we have completed the simplest pseudo-distributed configuration. Next, format the hadoop namenode: Enter "Y" to complete the formatting process: Start hadoop! Start hadoop as follows: Use the JPS command that comes with Java to query all daemon processes: Star

Statement This article is based on CentOS 6.x + CDH 5.x Zookeeper what to use to see the previous tutorial, you will find multiple occurrences of zookeeper, such as the auto failover Hadoop zookeeper, Hbase Regionserver also have to use zookeeper. In fact, more than Hadoop, including the now small and famous Storm with the zookeeper. So what exactly

tag: CTI log of the http OS Io file on time C Baidu Network Disk: http://pan.baidu.com/s/1hqrER6sI mentioned the CBT nuggets hadoop video tutorial last time. After half a month, I took the time to upload the video to Baidu online storage. There were 20 courses in total, from concept introduction to installation to surrounding projects, it can basically be said that it is a rare thing:01

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 big data technology and design all common components in the

. DistributedCache can be used to publish jar packages and Local Shared libraries used by map or reduce. Generally, sub-JVM processes can use java. library. path and LD.LIBRARYPATH specifies its own working PATH. The cache library can be loaded through System. loadLibrary or System. load. For more information about using distributed cache to load shared libraries, see Loading native libraries through DistributedCache. ?Related Articles Hadoop

Copy an objectThe content of the copied "input" folder is as follows:The content of the "conf" file under the hadoop installation directory is the same.Now, run the wordcount program in the pseudo-distributed mode we just built:After the operation is complete, let's check the output result:Some statistical results are as follows:At this time, we will go to the hadoop Web console and find that we have submit

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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:

Trivial-hadoop 2.2.0 pseudo-distributed and fully distributed installation (centos6.4), centos6.4 installation tutorial The environment is centos6.4-32, hadoop2.2.0 Pseudo distributed document: http://pan.baidu.com/s/1kTrAcWB Fully Distributed documentation: http://pan.baidu.com/s/1hqIeBGw It is somewhat different from 1.x, 0. x, especially yarn. There is an episode here. When configuring yarn in full

Import--connect jdbc:mysql://localhost:3306/sqoop_test--username root--password root--table employee--hive-i Mport--hive-table hive_employee--create-hive-tablewarning:/usr/lib/sqoop/. /hive-hcatalog does not exist! Hcatalog jobs would fail. Please set $HCAT _home to the root of your hcatalog installation. Warning:/usr/lib/sqoop/. /accumulo does not exist! Accumulo imports would fail. Please set $ACCUMULO _home to the root of your Accumulo installation ...... ........... 14/12/02 15:12:13 INFO H

records.NoteThere's a sentence in this journal14/12/05 08:49:46 INFO MapReduce. Job:the URL to track the job:http://hadoop01:8088/proxy/application_1406097234796_0037/This means you can use the browser to access the address to see the implementation of the task, if your task for a long time the card master is not finished is wrong, you can go to this address to see the detailed error logView ResultsMysql> SELECT * from employee;+--------+----+-------+| Rowkey | ID | Name |+--------+----+------

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Copy an object The content of the copied "input" folder is as follows: The content of the "conf" file under the hadoop installation directory is the same. Now, run the wordcount program in the pseudo-distributed mode we just built: After the operation is complete, let's check the output result: Some statistical results are as follows: At this time, we will go to the hadoop Web

Statement This article is based on CentOS 6.x + CDH 5.x In this example, Hbase is installed in cluster mode This article is based on maven3.5+ and Eclipse 4.3 After the tutorial, we must look at the following We do not build hbase to use the shell to check the data, we are writing HBase-based applications, so learning how to use Java to invoke HBase is a required course. Setting up the project open Eclipse to build a Maven pr

Hadoop Big Data basic tutorial 11. jpg (17.57 KB, Downloads: 61) Download attachment Upload Course Instructor: CloudyCourse Category: Big DataTarget Audience: IntermediateLesson quantity: 120 lesson update degree: CompletedService Type: Class A (employment service courses)Technology used: Hadoop MapR

Hadoop Big Data 0 Basic Combat Training TutorialOne, tutorial content:1,hadoop2.0yarn Comprehensible Series2,avro Data Serialization System3,chukwa Cluster Monitoring System4,flume Log Collection System5,greenplum ArchitectureThe origins of 6,hadoop7,hadoop Commercial Application case8,hbase Case Study9,hbase Programming Practice10,mapreduce Multi-language progra