hbase architecture

Https://www.mapr.com/blog/in-depth-look-hbase-architectureAn in-depth look at the HBase ArchitectureAugust 7,Carol McDonaldIn this blog post, I'll give you a in-depth look at the HBase architecture and it main benefits over NoSQL data store so Lutions. Be sure and read the first blog post in this series, titled"

file is an ordinary Hadoop Sequence file,sequence The key is the Hlogkey object, the Hlogkey records the attribution information written to the data, in addition to table and region names, but also includes Sequence number and Timestamp,timestamp are "write Time", the starting value of sequence is 0, or the last time the file system was deposited in sequence. The value of HLog sequece file is the KeyValue object of HBase, which corresponds to KeyValu

Transferred from: http://www.cnblogs.com/cenyuhai/p/3708135.htmlHBase system Architecture diagram　　Constituent Parts DescriptionClient:Communicating with Hmaster and hregionserver using the hbase RPC mechanismClient communicates with Hmaster to manage class operationsClient and Hregionserver data read and write class operationZookeeper:Zookeeper Quorum storage-root-table address, Hmaster addressHregionserve

automatically split into multiple splits and becomes the regions2. A region is represented by [startkey, endkey ).3. Different region will be allocated to the corresponding regionserver by the master for management. Two special tables:-root-. Meta. . Meta. Record the region information of the User table. At the same time,. Meta. can also have multiple Region-Root-records the region information of the. Meta. Table, but-root-only one regionThe location of the-root-table is recorded in zookeeper.

dataColumn Family: A table in a horizontal direction with one or more column families, a column cluster can be composed of any number of columns, the column cluster supports dynamic expansion, without the predefined number and type, binary storage, the user needs to do type conversionTableregion1. As the record grows, the table will automatically split into multiple splits and become regions2. A region represented by [Startkey,endkey]3. Different region will be managed by master assigned to the

table has one or more Column clusters in the horizontal direction. The Column clusters can be composed of any number of columns. The Column clusters support dynamic expansion, you do not need to specify the quantity and type, binary storage, and type conversion. Table Region 1. As the number of records increases, the Table is automatically split into multiple Splits and becomes the Regions2. A region is represented by [startkey, endkey ).3. Different region will be allocated to the correspo

Editor's note: HDFs and MapReduce are the two core of Hadoop, and the two core tools of hbase and hive are becoming increasingly important as hadoop grows. The author Zhang Zhen's blog "Thinking in Bigdate (eight) Big Data Hadoop core architecture hdfs+mapreduce+hbase+hive internal mechanism in detail" from the internal mechanism of the detailed analysis of HDFs,

automatically split into multiple splits and become regions2. A region represented by [Startkey,endkey]3. Different region will be managed by master assigned to the corresponding regionserverTwo special tables:-root-. META.. 　　META. Record the region information for the user table, and. META. Can also have multiple region-root-Records. META. Table region information, however,-root-has only one regionThe location of the-root-table is recorded in the zookeeperThe process by which clients access d

First, HBase Architecture II. client clients in the HBase schema The client has several functions: 1. Access entry for the entire hbase cluster; 2. Use the HBase RPC mechanism to communicate with Hmaster and hregionserver; 3. Use Hmaster to communicate for management class

HBase system Architecture diagram　　Constituent Parts DescriptionClient:Communicating with Hmaster and hregionserver using the hbase RPC mechanismClient communicates with Hmaster to manage class operationsClient and Hregionserver data read and write class operationZookeeper:Zookeeper Quorum storage-root-table address, Hmaster addressHregionserver the Ephedral way

HBase Physical Model Architecture architectureHBase Work FlowHregionserver is responsible for opening the region and creating a hregion instance, which creates a store instance for each table's hcolumnfamily (defined when the user creates the table), and each store instance contains one or more storefile instances. Is the lightweight package of the actual data store file hfile, each store corresponds to a m

HBase system Architecture diagram　　Constituent Parts DescriptionClient:Communicating with Hmaster and hregionserver using the hbase RPC mechanismClient communicates with Hmaster to manage class operationsClient and Hregionserver data read and write class operationZookeeper:Zookeeper Quorum storage-root-table address, Hmaster addressHregionserver the Ephedral way

different hregionserverthe metadata table and each row of the data table contain a column familyTherefore, when the client gets the root data table, it does not need to access the primary server again. Because the root table contains the location of all the meta tables, the META table contains a list of the spatial regions of all users and the location of the Hregionserver, and the client can cache all known root tables and meta tables. The primary server is responsible for hregion the timeout,

Prerequisite: SOLR, Solrcloud provides a complete set of data retrieval scheme, HBase provides a perfect large data storage mechanism. Requirements: 1. For the structured data added to the hbase, it can be retrieved. 2, the data volume is big, achieves 1 billion, 10 billion data quantity. 3, the retrieval of real-time requirements of higher, second-level update. Description: The following is a system

The overall architecture of Region serverThis paper mainly introduces the whole structure of region, and then introduces the specific realization and source code of each part of region.Regionserver Logical architecture DiagramRegionserver Responsibilities1, monitoring and collaboration, through ZK to listen to master, Meta location, cluster status and other information changes, update local data.2, the mana

. Release the lock created before.11, synchronization log.12, end the operation of the batch.Final, synchronization logs are unsuccessful, and the operations in the Memstore are rolled back according to the batch.There is no difference between put and delete operations, so how does it delete data?back when the 4th step update timestamp, found some fishy, delete the situation executed Preparedeletetimestamps method, look at it. First judge whether it is the latest timestamp, only passed the Rowk

-storm-0.9. 5 . TAR.GZCD Apache-storm-0.9. 5 /etc/Profileadds the following: Export storm_home=/home/dir/downloads/apache-storm-0.9. 5 export PATH= $STORM _home/bin: $PATHMake environment variables effectivesource /etc/profileModify Storm ConfigurationVI conf/Storm.yaml modified as follows: Storm.zookeeper.servers:-"127.0.0.1"# -"Server2"Storm.zookeeper.port:2181 //Zookeeper Port default is 2181Nimbus.host:"127.0.0.1"# # Storm.local.dir:"/home/dir/storm"Ui.port:8088Start StormStart Zoo