MySQL Cluster implements no-sharing clustering for the popular MySQL database management system. Taking advantage of the clustering technology, it provides enhanced availability and scalability for MySQL databases.
MySQL Cluster relies on a distributed architecture with low chance of failure, delivering high-scale systems that can serve intensive workloads generated by both SQL and no-SQL clients. In other words, it aims to ensure high throughput with a very low latency and a reduced response time.
The clustering technology in MySQL Cluster is based on the NDB (short for "network database") storage engine in a version that is specifically designed for MySQL.
The cluster holds one or several management nodes that are responsible for controlling the nodes that store data in the database. All the servers, clients or MySQL-based APIs first call to the management nodes and then connect to the data nodes directly.
There are various advantages of using MySQL Cluster. First, thanks to its synchronous replication, the new database content is written to multiple nodes, which guarantees data availability. Secondly, auto-sharding ensures that database updates are reflected in all the corresponding nodes that gain access to the cluster. Last but not least, the cluster allows for large databases to be stored across multiple machines.
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MySQL Cluster consists of a number of nodes organized into a master-slave architecture. Each node is a physical machine on which MySQL is installed. Some of these nodes are slave nodes in which data is stored, and some of them are masters.
Each slave node has one or more slave threads that listen to the queries received from the clients. Each thread is processed by a thread pool in which a set of threads is allocated to process queries.
Master nodes are different from the slaves. They are responsible for managing the other nodes in the cluster. This includes initialization of the cluster, master election, query processing, and managing slave threads. Master nodes must also handle client connections and direct client queries to slaves.
The basic components of a MySQL Cluster are:
— A SQL database engine
— Clusterware that provides storage engine support, a master node, a slave node, and a thread pool
— Various library files for client interface
— Management server that manages the cluster, the node status, the slaves, and the clients
— One or more nodes, of which at least one is a master node
A MySQL cluster provides redundancy, scalability, and performance. For instance, it allows you to easily build a distributed application in which data is automatically split across multiple nodes.
You can configure a cluster as either a single master node and multiple slave nodes, or as multiple master nodes and multiple slave nodes. This makes it easy to make the cluster larger in size or more fault tolerant.
There are three cluster types:
1. Single master/multiple slave, in which the cluster is set up with a single master and multiple slaves
2. Multiple masters/multiple slaves, in which the cluster is set up with multiple masters and multiple slaves
3. Arbitrary masters/slaves, in which the system is set up with one or more master nodes and one or more slave nodes
You can choose a cluster type that best suits your application.
When you setup a cluster, you need to select a master node, which is the node responsible for providing the cluster services. You also need to decide how many nodes are to be used in the cluster. You can have as many nodes as you need for the particular application.
You can create a cluster from an existing server installation using the online tool in the cluster manager. The online tool is enabled when the MySQL Cluster is configured as a standalone product.
Once the cluster is initialized, you can use the cluster manager to configure the nodes, set the master node, and configure
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Key-value storage, featuring a simple API.
The Keymacro library provides a simple, light-weight, key-value store. The API and implementation are designed to be similar to the built-in dict (stored data) and list (stored indices) types. Keys and values are similar to Python’s dictionary or list data types. However, since Keymacro is key-value data storage, there is no ordered list of keys or values.
The API exposes key-value storage as a dict-like object. Keys are strings and values are arbitrary types. The Keymacro implementation utilizes native data types to store keys and values in arrays or compact formats, providing fast access to any data.
The initial keys and values are stored in arrays. Keys and values are assigned to nodes as part of initializing Keymacro. Note that the initial value for keys and values are set as null. The next time a node is started, it will have the initial data.
Riak provides storage and synchronization for binary data, similar to MongoDB, Apache Cassandra, Amazon SimpleDB and Google’s BigTable.
Riak provides key-value (KV) storage and replication, similar to Amazon S3. Riak also provides a CQL-like query language for querying data.
Riak is scalable, fault-tolerant, and horizontally scalable. Riak is built for data-intensive applications, such as social networking, data synchronization, and mobile.
Riak supports a completely object-based model, making it easier to analyze data than relational database management systems. Riak can store large amounts of data efficiently because it was designed to store many small pieces of data efficiently.
Riak is built using Erlang, an open source functional programming language. In addition to providing data storage and synchronization, Erlang’s concurrency model gives Riak the ability to handle a huge number of simultaneous client requests. Erlang is also lightweight, small, scalable, and available on a wide range of hardware platforms.
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What’s New In MySQL Cluster?
MySQL Cluster provides advanced technology for performance and scalability of MySQL,
the most popular open source database solution.
It’s a high-performance, multi-master replication system which
is based on the MySQL storage engine. It enables the creation
of a cluster of MySQL nodes that connect to a MySQL server
using a well known communication protocol. MySQL Cluster
allows for high throughput with a very low latency and a
reduced response time.
Clustering technology in MySQL Cluster is based on the
NDB (short for “network database”) storage engine,
specifically designed for MySQL. NDB provides fault-tolerance
and supports high-availability clustering. Data is replicated
across multiple nodes in real time and it is constantly
synchronized. The management nodes are responsible for
controlling the data nodes, instead of sharing the data
tables and being updated concurrently. Clustering technology
offers the ability to increase performance and scalability.
Unified Scalability Architecture
Unified Scalability Architecture:
MySQL Cluster offers a unified scalability architecture
and advanced replication functionality. Clusters
provide horizontal scalability in terms of the number
of nodes, as well as vertical scalability, which enables
you to increase the capacity of your database. The
key feature of MySQL Cluster is replication: it replicates
the data automatically and synchronously. The data is
written to multiple servers and then synchronized
back to the master server. This guarantees data availability
and provides a high-availability system for your databases.
MySQL Cluster provides automatic failover for the master
server to another active node in case of a server failure.
The master server is also responsible for the backup
and recovery processes and it’s shared across the cluster.
In case of a node failure or when the node is disconnected,
the master server can detect this and take measures
to restore the failed node and to switch over to another
active node, thereby maintaining the database’s availability.
Replication functionality in MySQL Cluster enables
you to make your database scalable in terms of the number
of nodes as well as the storage space. Depending on the
configuration of your cluster, you can scale replication
up or down. Cluster replication is useful in the following
High Availability for an Active/Active Configuration:
In an active/active cluster configuration, both the
active node and the standby node have copies of
all the data stored in the master node. The replication
of the data is done synchronously in order to provide
uninterrupted service. This configuration is useful
in case of a server failure or when the master node
is under heavy load.
High Availability for an Active/Standby Configuration:
OS: Windows 7, Windows 8, Windows 10
Processor: Intel Core i3 2.3 GHz
Memory: 2 GB RAM
Graphics: NVIDIA GeForce GTX 550 Ti
DirectX: Version 11
Network: Broadband Internet Connection
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