periodically report to namenode the block list information they store.g) For this reason, it's important to make the namenode resilient to failure, and Hadoop provides both mechanisms for this . The first and the "to" back "the Files" and "the" persistent state of the filesystem metadata.For this reason, it is important to ensure that the
Architecture
In this section, we will look at the basic architecture of the Hadoop Distributed File System (HDFS).4.1 Namenode and Datanode's work
HDFs is a block-structured file system, which means that all individual files are divided into small blocks of data with fixed block sizes. These blocks are then stored in the machine cluster in the Datanode. Namenode
This article describes Cloudera Manager configuration Hive Metastore1, environmental information2, configuring HA for Namenode
1, environmental informationEnvironment information for deploying cdh5.x articles based on Cloudera MANAGER5 installation.
2, configuring HA for Namenode2.1. Enter the HDFs interface and click "Enable High Availability"
2.2, enter the Nameservice name, set here as: Nameservice1, click the Continue button.
2.3, set another
Install times wrong: Failed to execute goal org.apache.maven.plugins:maven-antrun-plugin:1.7:run (site) on project Hadoop-hdfs:an Ant B Uildexception has occured:input file/usr/local/hadoop-2.6.0-stable/hadoop-2.6.0-src/hadoop-hdfs-project/ Hadoop-hdfs/target/findbugsxml.xml
Introduction
Prerequisites and Design Objectives
Hardware error
Streaming data access
Large data sets
A simple consistency model
"Mobile computing is more cost effective than moving data"
Portability between heterogeneous software and hardware platforms
Namenode and Datanode
File System namespace (namespace)
Data replication
Copy storage: One of the most starting steps
Cop
protected]:~/software$ scp-r Hadoop-2.7.4/slave2:~/softwareAt this point, all configurations are complete and ready to start the Hadoop service.2.4 Starting the Hadoop Cluster service from the master machine1. Initial format file system Bin/hdfs Namenode-format[Email protected]:~/software/
/wKiom1dSYkeywcLQAAOh_jQBWtc872.png-wh_500x0-wm_3 -wmp_4-s_233271391.png "title=" 6.png "alt=" Wkiom1dsykeywclqaaoh_jqbwtc872.png-wh_50 "/>The Datanode backup mechanism is self-controlled by each DN node and is not initiated by the client. Because the client remote transfer consumption is larger than the individual DN node transmission consumption (typically the backup node is in a room, the transmission speed is fast)650) this.width=650; "Src=" Http://s1.51cto.com/wyfs02/M02/82/5B/wKioL1dSY03ho
Namenode maintains the two-tier relationship of the HDFs namespace:1) The relationship between the file and the data block (inodefile,inodedirectory)2) The relationship between the data block and the Datanode (Blockmap.blockinfo)First, put a class diagram:1. Inode class:Inode mimics the inode of an index node in a Linux file system. The Inode is an abstract class, the inode holds the filename, the file owner, the file's access rights, the file parent
Fix an issue where the hive path is incorrect after namenode configuration of HA
After CDH5.7 is configured with Namenode ha, hive has no normal query data, but other components HDFs, HBase, and Spark are normal.
The following exception occurred in the hive query:
Failed:semanticexception unable to determine if Hdfs://bdc240.hexun.com:8020/user/hive/warehouse/test1 is encrypted: Java.lang.IllegalArgumentE
In HDFS1, the Namenode boot sequence is as follows:
1. Read Fsimage file
2. Read the edit logs file and perform the inside Operation line by row
3. Write checkpoint, generate new Fsimage (old Fsimage + editlogs)
4. Enter Safe mode and wait for Datanodes block reports until the block percent of the smallest replication number is withdrawn
During Safe mode, the client cannot modify namespace information, nor does it allow replication blocks,client
(preferably the root identity, how to root? You only need to enter su on the terminal, and then the root password will be able to log on to the root account)
You can. This is all done.
-----------------------------------------------------------------------------
Okay, now you can start it.
Format it first. This is very important.
Bash command
Hadoop namenode-format
This statement basically determines th
network bandwidth optimization. The current replication location policy is only the first step in this direction. The short-term objective is to verify it in real deployment and use it to test and study more complex strategies.
Large HDFS implementations are usually distributed across multiple racks. Two nodes in different racks have to communicate through the switch between racks. Generally, the network bandwidth between machines in the same rack is greater than that of machines in different r
mapreduce properties.
2.1 hadoop Running Mode
Hadoop runs in the following modes:
Standalone or local mode ):No daemon is required. All programs are executed on a single JVM. It is mainly used in the development stage. The default attribute is set for this mode, so no additional configuration is required.Pseudo-distributed mode(Pseudo-distributed model): The hado
Part 1: core-site.xml • core-site.xml is the core attribute file of hadoop, the parameter is the core function of hadoop, independent of HDFS and mapreduce. Parameter List • FS. default. name • default value File: // • Description: sets the hostname and port of the hadoop namenode. The default value is standalone mode.
seeks.Having a block cipher action for a distributed filesystem brings several benefits. the first benefit is the most obvious: a file can be larger than any single disk in the network. second, making the unit of your action a block rather than a file simplifies the storage subsystem. furthermore, blocks fit well with replication for providing fault tolerance and availability.
2) Namenodes and DatanodesThe namenode manages the filesystem namespace. I
1.the 3 modes that the Hadoop cluster can run.
Single-machine (local) mode pseudo-distributed mode fully distributed mode
2. note points in the stand-alone (local) mode.
There is no daemon in stand-alone mode (standalone), and everything runs on a JVM. There is also no DFS here, using the local file system. Stand-alone mode is suitable for running mapreduce programs during development, which is also the least used mode.
3. note points in pseudo-distr
Hadoop Copvin-45 common questions and Answers1.What are the 3 modes that a Hadoop cluster can run?
Stand-alone (local) mode
Pseudo-distributed mode
Fully distributed mode
2. note points in stand-alone (local) mode?There is no daemon in stand-alone mode (standalone), and everything runs on a JVM. There is also no DFS here, using the local file system. Stand-alone mode is suitable for ru
= o | o s .. | *. | *. | + --------------- + [Root @ Localhost ~] # Ls
The execution result shows that the generated key has been saved to/root/. Ssh/id_rsa.
2) Go to the/root/. Ssh directory and run the following command:
[Root @ localhost. Ssh]#CP id_rsa.pub authorized_keys
3) then execute:
[Root @ localhost. Ssh]#SSH localhost
You can connect to the instance by using SSH without entering a password.
[Root @ localhost. Ssh]#SSH localhostThe authenticity of host 'localhost (: 1)
Http://blog.sina.com.cn/s/blog_7f83b8fb0102v88q.html
HBase Report Lease expires, Regionserver automatically shuts down-namenode. Leaseexpiredexception (2014-12-22-11:09:06) reprinted
Tags: it leases expire
Category: The way of growth
Phenomenon: 1, error Regionserver Auto-close 2, regionserver errors are: (Below we take Slave7 as an example) Org.apache.hadoop.hdfs.server.namenode.LeaseExpiredException:No Lease On/hbase-new/wals
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