Ubuntu installation (Here I do not catch a map, just cite a URL, I believe that everyone's ability)Ubuntu Installation Reference Tutorial: http://jingyan.baidu.com/article/14bd256e0ca52ebb6d26129c.htmlNote the following points:1, set the virtual machine's IP, click the network connection icon in the bottom right corner of the virtual machine, select "Bridge mode", so as to assign to your LAN IP, this is very important because the back Hadoop to use th
be specified in % post. in addition, the post-install script runs in the chroot environment. therefore, some tasks such as copying scripts or RPMs from the installation media cannot be executed. [3]Some common options for % post:
-- Nochroot # allows you to specify commands that you want to run outside the chroot environment.In the following example, copy the/etc/resolv. conf file in the installation media to the file system you just installed.
%p
It took an entire afternoon (more than six hours) to sort out the summary, which is also a deep understanding of this aspect. You can look back later.
After installing Hadoop, run a WourdCount program to test whether Hadoop is successfully installed. Create a folder using commands on the terminal, write a line to each of the two files, and then run the
This article mainly analyzes important hadoop configuration files.
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Pre-language: If crossing is a comparison like the use of off-the-shelf software, it is recommended to use the Quickhadoop, this use of the official documents can be compared to the fool-style, here do not introduce. This article is focused on deploying distributed Hadoop for yourself.1. Modify the machine name[[email protected] root]# vi/etc/sysconfig/networkhostname=*** a column to the appropriate name, the author two machines using HOSTNAME=HADOOP0
The previous installation process to be supplemented, after the installation complete Hadoop installation, began to execute the relevant commands, let Hadoop run up Use the command to start all services: [Email protected]:/usr/local/gz/hadoop-2.4. 1$./sbin/start-all. SHOf course there will be a lot of startup files un
limits of the memory that can be used by tasks, etc./Usr/local/hadoop/conf/hadoop-env.sh defines configuration information related to hadoop Runtime EnvironmentTo start hadoop, you only need to modify the configuration file.[Root @ localhost conf] # vim core-site.xml.
[Root @ localhost conf] # vim mapred-site.xml.
[
/15 08:15:36 INFO hive.HiveImport: Loading uploaded data into Hive13/09/15 08:15:36 INFO manager.MySQLManager: Executing SQL statement: SELECT t.* FROM `test` AS t LIMIT 113/09/15 08:15:36 INFO manager.MySQLManager: Executing SQL statement: SELECT t.* FROM `test` AS t LIMIT 113/09/15 08:15:41 INFO hive.HiveImport: Logging initialized using configuration in jar:file:/home/hadoop/hive-0.10.0/lib/hive-common-0.10.0.jar!/hive-log4j.properties13/09/15 08:1
file containing all transactions (EditLog here) will be stored in the local file system of NameNode. Copy the FsImage and EditLog files to prevent file corruption or loss of the NameNode system.
DataNode
NameNode is also a software usually run on a separate machine in an HDFS instance. The Hadoop cluster contains a NameNode and a large number of DataNode. DataNode is usually organized as a rack, which connects all systems through a switch. One assump
.
Hiveimport:hive import complete.
Iii. Sqoop Order
Sqoop has about 13 commands, and several common parameters (all of which support these 13 commands), and here are the 13 commands listed first.It then lists the various common parameters for Sqoop, and then lists their own parameters for the above 13 commands. S
Chapter 1 Meet HadoopData is large, the transfer speed is not improved much. it's a long time to read all data from one single disk-writing is even more slow. the obvious way to reduce the time is read from multiple disk once.The first problem to solve is hardware failure. The second problem is that most analysis task need to be able to combine the data in different hardware.
Chapter 3 The Hadoop Distributed FilesystemFilesystem that manage storage h
to Use HDFS?
HDFS can be directly used after hadoop is installed. There are two methods:
One is imperative:
We know that there is a hadoop command in the bin directory of hadoop. This is actually a management command of hadoop. We can use this to operate on HDFS.
hadoop fs
test value can be used to check the integrity of the hadoop-2.x.y.tar.gz, or if the file is damaged or downloaded incomplete, Hadoop will not function properly. The files involved in this article are downloaded through a browser and are saved by default in the downloads directory (unless you change the appropriate directory for the tar command yourself). In addition, this tutorial chooses version 2.6.0, if
to clear jobs that have been completed for a long time and still exist in the queue. The jobinitthread thread is used to initialize a job, which is described in the previous section. The taskcommitqueue thread is used to schedule all the processes related to the filesystem operation of a task and record the status of the task.
2.4.2 tasktracker services and threads
Tasktracker is also one of the most important classes in the mapreduce framework. It runs on each datanode node and is used to sche
1. List all commands supported by hadoop Shell$ Bin/hadoop FS-help2. display detailed information about a command$ Bin/hadoop FS-HELP command-name3. You can use the following command to view the historical log summary in the specified path.$ Bin/hadoop job-history output-Dir
Hadoop cannot be started properly (1)
Failed to start after executing $ bin/hadoop start-all.sh.
Exception 1
Exception in thread "Main" Java. Lang. illegalargumentexception: Invalid URI for namenode address (check fs. defaultfs): file: // has no authority.
Localhost: At org. Apache. hadoop. HDFS. server. namenode. namenode. getaddress (namenode. Java: 214)
Localh
Currently in Hadoop used more than lzo,gzip,snappy,bzip2 these 4 kinds of compression format, the author based on practical experience to introduce the advantages and disadvantages of these 4 compression formats and application scenarios, so that we in practice according to the actual situation to choose different compression format.
1 gzip compression
Advantages: The compression ratio is high, and the compression/decompression speed is relatively fas
1, the main learning of Hadoop in the four framework: HDFs, MapReduce, Hive, HBase. These four frameworks are the most core of Hadoop, the most difficult to learn, but also the most widely used.2, familiar with the basic knowledge of Hadoop and the required knowledge such as Java Foundation,Linux Environment, Linux common com
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