hadoop architecture explained

Hadoop enterprise cluster architecture-NFS Installation Hadoop enterprise cluster architecture-NFS Installation Server address: 192.168.1.230 Install NFS Software Check whether nfs installation is complete Rpm-qa | grep nfs Check the rpcbind and nfs services Systemctl list-unit-files | grep "nfs" Systemctl list-unit

Hadoop enterprise cluster architecture-DNS Installation Hadoop enterprise cluster architecture-DNS Installation 1. Configure IP Vi/etc/sysconfig/network-scripts/ifcfg-eno16777736 Systemctl restart network. service Ip-4 addr Ping 192.168.1.1 Vi/etc/hostname Ddd the following line: Dns.hadoop.com Install DNS Software

Hadoop Introduction: a distributed system infrastructure developed by the Apache Foundation. You can develop distributed programs without understanding the details of the distributed underlying layer. Make full use of the power of clusters for high-speed computing and storage. Hadoop implements a Distributed File System (HadoopDistributed File System), HDFS for short. HDFS features high fault tolerance and

Learning about the Hadoop Compression decompression Architecture The Compressor decompression module of Hadoop is another major module in the Hadoop Common IO module. Although in real life, there are not so many scenarios where we use compression tools. Perhaps in our potential consciousness, the concept of compression

the application's specified application controller, and providing a restart when the Applicationmaster container fails. Each application's applicationmaster is responsible for negotiating the appropriate resource containers from the scheduler, keeping track of their status and monitoring process.The MapReduce in hadoop-2.x is compatible with the previously stable version (hadoop-1.x). This means that all m

Distributed File System HDFS-datanode Architecture 1. Overview Datanode: provides storage services for real file data. Block: the most basic storage unit [the concept of a Linux operating system]. For the file content, the length and size of a file is size. The file is divided and numbered according to the fixed size and order starting from the 0 offset of the file, each divided block is called a block. Unlike the Linux operating system, a file small

About HDFSThe Hadoop Distributed file system, referred to as HDFs, is a distributed filesystem. HDFs is highly fault-tolerant and can be deployed on low-cost hardware, and HDFS provides high-throughput access to application data, which is suitable for applications with large data sets. It has the following characteristics:1) suitable for storing very large files2) suitable for streaming data reading, which is suitable for "write once, read multiple" D

units1) data block size of Hadoop1.0:64M2) Hadoop2.0 database size: 128M2. In full distribution mode, at least two datanode nodes 3. Directory of Data Preservation: by Hadoop.tmp.dir parameter specifies secondary NameNode(second called node) 1. Main role: Merging logs2. Timing of consolidation: when HDFs issues checkpoints3. Log merge process: Problems with HDFs 1) Namenode single point of failureSolution: Hadoop2.0 uses zookeeper to implement Namenode ha functiona

Distributed File System HDFS-namenode architecture namenode Is the management node of the entire file system. It maintains the file directory tree of the entire file system [to make retrieval faster, this directory tree is stored in memory], The metadata of the file/directory and the data block list corresponding to each file. Receives user operation requests. Hadoop ensures the robustness of namenode and i

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table(dbms_xplan.display):Perform a full table scan, of course the cost of a full table scan is relatively highThe department number is indexed belowindexon emp(deptno):索引已创建。forselectfromwhere deptno=10:已解释。selectfrom table(dbms_xplan.display):It's an index-based scan that's faster for full-table scanning.It's almost like Oracle for Hive.So:0hadoop Use HDFS for storage and compute with MapReduce 0 Meta Data storage (Metastore) Typically stored in a relational database su

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