In-depth introduction to Hadoop HDFS
The Hadoop ecosystem has always been a hot topic in the big data field, including the HDFS to be discussed today, and yarn, mapreduce, spark, hive, hbase to be discussed later, zookeeper that has been talked about, and so on.
Today, we are talking about
Tags: mod file copy ima time LSP tab version Execute file cinSince HDFs is a distributed file system for accessing data, the operation of HDFs is the basic operation of the file system, such as file creation, modification, deletion, modification permissions, folder creation, deletion, renaming, etc. The operations command for HDFS is similar to the operation of t
Hadoop hdfs cannot be restarted after the space is full. hadoophdfs
When the server checks, it finds that files on HDFS cannot be synchronized and hadoop is stopped. Restart failed.
View hadoop logs:
2014-07-30 14:15:42,025 INFO org.apache.hadoop.hdfs.server.namenode.FSNa
text file to reduce storage space, but also need to support split, and compatible with the previous application (that is, the application does not need to modify) situation.
5.comparison of the characteristics of 4 compression formats
compression Format
Split
native
Compression ratio
Speed
whether Hadoop comes with
Linux Commands
if the original application has to be modified after you cha
This article was posted on my blog We know that HDFs is a distributed file system for Hadoop, and since it is a file system, there will be at least the ability to manage files and folders, like our Windows operating system, to create, modify, delete, move, copy, modify permissions, and so on. Now let's look at how Hadoop operates.Enter the
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
Hadoop Distributed File System (HDFS) is designed to be suitable for distributed file systems running on general-purpose hardware, which provides high throughput to access application data and is suitable for applications with very large data sets, so how do we use it in practical applications? One, HDFs operation mode: 1. command-line Operations– Fsshell :$
write a file
Namenode depending on file size and file block configuration, see the information returned to the client for some of the datanode it manages
The client divides the file into blocks, which are written sequentially to each datanode according to the Datanode address information
(2) file read
Client initiates read file request to Namenode
Namenode returns information about the Datanode that stores the file
Client Read file
(3) Block replication
Not much to say, directly on the dry goods! 1, start each machine zookeeper (bigdata-pro01.kfk.com, bigdata-pro02.kfk.com, bigdata-pro03.kfk.com)2, start the ZKFC (bigdata-pro01.kfk.com)[Email protected] hadoop-2.6.0]$ pwd/opt/modules/hadoop-2.6.0[Email protected] hadoop-2.
class is located under the Org.apache.hadoop.fs package, naming files or directories in the file system. The path string uses the slash as the directory separator. If you start with a slash, the path string is absolute.
Method
Description
Path (String pathstring)
A constructor allows you to construct a string into a path
4.5.4 FileSystem class
Hadoop is writ
Before using a tool, it should have a deep understanding of its mechanism, composition, etc., before it will be better used. Here's a look at what HDFs is and what his architecture looks like.1. What is HDFs?Hadoop is mainly used for big data processing, so how to effectively store large-scale data? Obviously, the centralized physical server to save data is unrea
milliseconds.
Dfs.namenode.path.based.cache.block.map.allocation.percent
0.25
The percentage of Java heap memory that is allocated to the cached block mappings. It is a hash map, using a chain hash. If the number of cache blocks is large, the smaller the map, the slower the access, and the larger the map, the more memory it consumes.
OS LimitationsIf you encounter the error "cannot start Datanode because the configure
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
because the permissions can not access.
Dfs.permissions.supergroup
SuperGroup
Set the HDFS Super privilege group, which is supergroup by default, and the user who started Hadoop is typically superuser.
Dfs.data.dir
/opt/data1/hdfs/data,/opt/data2/hdfs/data,/opt/data3/
PHP used Thrift to upload local files to Hadoop's hdfs by calling SHELL, but the upload efficiency was low. another user pointed out that he had to use other methods .? Environment: The php runtime environment is nginx + php-fpm? Because hadoop enables permission control, PHP calls SHELL to upload local files to Hadoop hdfs
and there are more than 0.14 million blocks in total,The average execution time of DF and Du exceeds two seconds. The dramatic difference is that it takes more than 180 seconds to execute the command of a partition directory for DU and DF. (In the shell # runcommand method, instantiate from processbuilder to process. Start () execution time ).Is it because the number of blocks in the partition directory is too large, resulting in slow running? in Lin
not access.
Dfs.permissions.supergroup
SuperGroup
Set the HDFS Super privilege group, which is supergroup by default, and the user who started Hadoop is typically superuser.
Dfs.data.dir
/opt/data1/hdfs/data,/opt/data2/hdfs/data,/opt/data3/hdfs
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