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After the successful installation of Hadoop, many of the concepts of Hadoop are smattering, with an initial understanding of the online documentation and the Hadoop authoritative guide.
1. What issues does Hadoop solve?
Store and analyze large amounts of data.
Scenario: HDFs
Continue the previous chapter to organize the HDFs related configuration items
Name
Value
Description
Dfs.default.chunk.view.size
32768
The content display size for each file in the HTTP access page of Namenode, usually without setting.
Dfs.datanode.du.reserved
1073741824
The amount of space reserved for each disk needs to be set up, mainly for non-
connect to the Hadoop distribution also has not been kettle support, you can fill in the corresponding information requirements Pentaho develop one.There are 1 more cases where the Hadoop distribution is already supported by Kettle and has built-in plugins.3 is configured.3.1 Stop application is if kettle in the run first stop him.3.2 Open the installation folder our side is kettle, so that's spoon. File p
A simple introduction to the basic operation of the Hadoop HDFs APIHadoop provides us with a very handy shell command for HDFs (similar to commands for Linux file operations). Hadoop also provides us with HDFSAPI so that our developers can do something about Hfds. such as: Copy
A brief introduction to controlling the HDFs file system with JavaFirst, note the Namenode access rights, modify the Hdfs-site.xml file or modify the file directory permissionsThis time using modify Hdfs-site.xml for testing, add the following content in the configuration node Property > name >dfs.permissions.enabledname> value >falsevalue>
Continue the previous chapter to organize the HDFs related configuration items
Name
Value
Description
Dfs.default.chunk.view.size
32768
The content display size for each file in the HTTP access page of Namenode, usually without setting.
Dfs.datanode.du.reserved
1073741824
The amount of space reserved for each disk needs to be set up, mainly for non-HDFS
Exception descriptionIn the case of an unknown hostname when you format the Hadoop namenode-format command on HDFS, the exception information is as follows:[Plain]View PlainCopy
[Email protected] bin]$ Hadoop Namenode-format
11/06/22 07:33:31 INFO Namenode. Namenode:startup_msg:
/************************************************************
Startup_msg:s
namenode and several datanode, where Namenode is the primary server that manages the namespace and file operations of the file's decency. ; Datanode manages the stored data. HDFs allows users to store data in the form of files. Internally, the file is partitioned into blocks of data, which are stored in a set of Datanode. The Namenode unified Dispatch class to create, delete, and copy files. (User data wil
and all data packets in the waiting queue will be added back to the data queue. This ensures the integrity and order of data packets.
Next, take a normal data node from the current block and contact namenode, inform namenode of the faulty node, so that the Incomplete Copy files in the faulty node can be cleared after the fault node recovers.
3. the faulty node is deleted, and the remaining data packets are written to the remaining nodes. Namenode not
Dataodes form a new pipeline, and the remaining data is closed, and the file is identified as not meeting the replica requirements and will be synchronized later. In the case of multiple dataodes failures, if the minimum dfs.namenode.replication.min copy is met (by default, 1), even if the file is written successfully. It is then replicated asynchronously to meet the requirements of the replica. Consistency model That is, the visibility of files in t
Spark program
Note: This is not the final solution, so you need to find out why
If the file is important, you need to fix it.View file status one by one and restoreTake this file as an example:/user/admin/data/cdn//20170508/ngaahcs-access.log.3k3.201705081700.1494234003128.gz
To perform a repair command:
HDFs Debug Recoverlease-path HDFs Debug Recoverlease-path/user/admin/data/cdn//20170508/ngaahcs-acces
Summary: Hadoop HDFS file operations are often done in two ways, command-line mode and JAVAAPI mode. This article describes how to work with HDFs files in both ways.
Keywords: HDFs file command-line Java API
HDFs is a distributed file system designed for the distributed proc
Hadoop HDFs provides a set of command sets to manipulate files, either to manipulate the Hadoop Distributed file system or to manipulate the local file system. But to add theme (Hadoop file system with hdfs://, local file system with file://)
1. Add Files, directories
Exception Description
The problem with unknown host names occurs when the HDFS is formatted and the Hadoop namenode-format command is executed, and the exception information is as follows:
[Shirdrn@localhost bin]$ Hadoop namenode-format 11/06/22 07:33:31 INFO namenode.
Namenode:startup_msg:/************************************************************ startup_
Name
Value
Description
DFS. Default. Chunk. View. Size
32768
The size of each file displayed on the HTTP access page of namenode usually does not need to be set.
DFS. datanode. Du. Reserved
1073741824
The size of the space reserved by each disk, which must be set to be used mainly for non-HDFS files. The default value is not reserved, and the value is 0 bytes.
DFS. Name. dir
/Opt/data1/
It took some time to read the source code of HDFS. Yes.However, there have been a lot of parsing hadoop source code on the Internet, so we call it "edge material", that is, some scattered experiences and ideas.
In short, HDFS is divided into three parts:Namenode maintains the distribution of data on datanode and is also responsible for some scheduling tasks;Data
also has not been kettle support, you can fill in the corresponding information requirements Pentaho develop one.There are 1 more cases where the Hadoop distribution is already supported by Kettle and has built-in plugins.3 is configured.3.1 Stop application is if kettle in the run first stop him.3.2 Open the installation folder our side is kettle, so that's spoon. File path:3.3 Edit Plugin.properties file3.4 Change a configuration value to circle th
In Hadoop, ACLs are used to manage HDFs permissions, and ACL permissions are added to the rights control in hadoop2.4, like Linux ACL permissions
1, modify the HDFS permission configuration
2. Permission Configuration
Assigning permissions to the owning master and group
Sudo-u HDFs
ObjectiveWithin Hadoop, there are many types of file systems implemented, and of course the most used is his distributed file system, HDFs. However, this article does not talk about the master-slave architecture of HDFS, because these things are much more spoken on the internet and in the information books. So, I decided to take my personal learning, to say somet
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