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
same name.) )Let the user gain administrator privileges:[Email protected]:~# sudo vim/etc/sudoersModify the file as follows:# User Privilege SpecificationRoot all= (All) allHadoop all= (All) allSave to exit, the Hadoop user has root privileges.3. Install JDK (use Java-version to view JDK version after installation)Downloaded the Java installation package and installed it according to the installation tutorial
-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,
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
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
.
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.
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Hadoop
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
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
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
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:
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
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
Hadoop tutorial (1) ---- use VMware to install CentOS
1. Overview
My Learning Environment-install four CentOS systems (used to build a Hadoop cluster) under the vmwarevm. One of them is the Master, three are the Slave, and the Master is the NameNode in the Hadoop cluster, three Slave as DataNode. At the same time, we s
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