Skip to main content

MySQL NDB Cluster Installation for Data, SQL and Management Node

Management node: It manages the other nodes within the NDB Cluster, provides configuration data, start and stop nodes, running backups. As it manages the configuration of the other nodes, it should be started first, before any other node. Use ndb_mgmd to start it.
It also maintains a log of cluster activities. Management clients can connect to the management server and check the cluster's status.
Data node: It stores cluster data. There are as many data nodes as there are replicas, times the number of fragments. For example, with two replicas, each having two fragments, you need four data nodes. One replica is good for data storage, but no redundancy. For redundancy and high availability 2 more nodes are recommended.To start data node use ndbd or ndbmtd. Tables are normally stored completely in memory, that's why it can be refer as in-memory database. Some data can be stored on disk.
SQL node: It accesses the cluster data. It is a traditional MySQL server that uses the NDBCLUSTER storage engine. An SQL node is a mysqld process started with the --ndbcluster and --ndb-connect string options. It is API node, which designates any application which accesses NDB Cluster data. Another example of an API node is the ndb_restore utility that is used to restore a cluster backup. 
Note: Use multiple data and SQL nodes. The use of multiple management nodes is also highly recommended for production environment, redundancy. 

SQL Node:- Installation of MySQL cluster
Following command will install mysql cluster in directory /usr/local
$ tar -C /usr/local -xzvf mysql-cluster-gpl-7.5.7-linux2.6.tar.gz
Create link
$ ln -s /usr/local/mysql-cluster-gpl-7.5.7-linux2.6-i686 /usr/local/mysql

Set up the system databases using mysqld
$ cd mysql
$ mysqld --initialize

Set the necessary permissions for the MySQL server and data directories:
$ chown -R root .
$ chown -R mysql data
$ chgrp -R mysql .

Copy the MySQL startup script to the appropriate directory, make it executable, and set it to start when the operating system is booted up:
$ cp support-files/mysql.server /etc/rc.d/init.d/
$ chmod +x /etc/rc.d/init.d/mysql.server
$ chkconfig --add mysql.server

Data nodes:-
Data nodes does not require the mysqld binary. Only the NDB Cluster data node executable ndbd (single-threaded) or ndbmtd (multi-threaded) is required. These binaries can also be found in the .tar.gz archive.

Install the Data node binaries:-

Change location to the /var/tmp directory, and extract the ndbd and ndbmtd binaries from the archive into a suitable directory such as /usr/local/bin:
$ cd /var/tmp
$ tar -zxvf mysql-5.7.18-ndb-7.5.7-linux-i686-glibc23.tar.gz
$ cd mysql-5.7.18-ndb-7.5.7-linux-i686-glibc23
$ cp bin/ndbd /usr/local/bin/ndbd
$ cp bin/ndbmtd /usr/local/bin/ndbmtd
Change location to the directory into which you copied the files, and then make both of them executable:
$ cd /usr/local/bin
$ chmod +x ndb*
The preceding steps should be repeated on each data node host.
Note:-The data directory on each machine hosting a data node is /usr/local/mysql/data. This piece of information is essential when configuring the management node. 

Management nodes:-

It does not require the mysqld binary. Only the NDB Cluster management server (ndb_mgmd) is required; you most likely want to install the management client (ndb_mgm) as well. Both of these binaries also be found in the .tar.gz archive.
Extract the ndb_mgm and ndb_mgmd from the archive into a suitable directory such as /usr/local/bin:
$ cd /var/tmp
$ tar -zxvf mysql-5.7.18-ndb-7.5.7-linux2.6-i686.tar.gz
$ cd mysql-5.7.18-ndb-7.5.7-linux2.6-i686
$ cp bin/ndb_mgm* /usr/local/bin
Make both of them executable:
$ cd /usr/local/bin
$ chmod +x ndb_mgm*

Comments

Popular posts from this blog

MySQL InnoDB cluster troubleshooting | commands

Cluster Validation: select * from performance_schema.replication_group_members; All members should be online. select instance_name, mysql_server_uuid, addresses from  mysql_innodb_cluster_metadata.instances; All instances should return same value for mysql_server_uuid SELECT @@GTID_EXECUTED; All nodes should return same value Frequently use commands: mysql> SET SQL_LOG_BIN = 0;  mysql> stop group_replication; mysql> set global super_read_only=0; mysql> drop database mysql_innodb_cluster_metadata; mysql> RESET MASTER; mysql> RESET SLAVE ALL; JS > var cluster = dba.getCluster() JS > var cluster = dba.getCluster("<Cluster_name>") JS > var cluster = dba.createCluster('name') JS > cluster.removeInstance('root@<IP_Address>:<Port_No>',{force: true}) JS > cluster.addInstance('root@<IP add>,:<port>') JS > cluster.addInstance('root@ <IP add>,:<port> ') JS > dba.getC...

Amazon RDS | Amzon Redshift | Big Data | Boost Performance with Amazon ElastiCache

Amazon RDS with Amazon ElastiCache for Performance: Amazon RDS supports - Oracle, MS SQL server, MySQL, Maria DB and PostgreSQL. It is a managed service offered by the Amazon.  Couple of customers have observed the performance issues during their journey with Amazon RDS with Oracle, MS SQL Server, MySQL, Maria DB and PostgreSQL. Amazon cloud engineers / database consultants / database architect and Amazon supports worked to-gather to boost the Amazon RDS performance by tuning the RDBMS configuration parameters using Amazon RDS parameter group , and have not achieved the SLA for Amazon RDS .  Amazon RDS with Multi AZ and Read Replica: Some of the the AWS professionals have suggested for vertical scaling of the Amazon RDS . It should works and its absolutely correct. In my opinion, it would be a good idea to think about the Amazon ElastiCache service with Amazon RDS for better performance and cost optimization also rather than vertically scaling the Amazon RDS . I would sug...

Needs for Graph Database

Needs for Graph Database: We are living in the era of data, data is treated more precise than gold and platinum. Most of the enterprises are trying to get more insight about the data they have it as an operational / warehouse / analytical.   Ref.: https://dist.neo4j.com/wp-content/uploads/graph-example.png To get more insight into the data, it is required to see the relationship among the data points. The challenge is how to establish the relationship among data points and the answers is Graph database. Relational databases can't help to establish the relationship among data points, due to their rigid schema, and consistent schema. Relational Database issues for data set: Number of Joins:  While fetching data from relational databases, we join many tables, these joins are complex, and consume considerable amount of computing resources, which increase the query response times. Self- joins: For database ware house / business intelligence systems using RDBMS, self-JOIN are ...