MySQL storage engine supporting multi-master replication: NDB Cluster performance optimization and practical experience

MySQL storage engine that supports multi-master replication: Performance optimization and practical experience of NDB Cluster

Introduction:
NDB Cluster is one of the high-availability and scalable storage engines provided by MySQL. It achieves high availability and horizontal scalability of data by implementing a multi-master replication mechanism. This article will introduce the performance optimization method of NDB Cluster and demonstrate practical experience through code examples.

1. Background and advantages of NDB Cluster
NDB Cluster is a special storage engine of MySQL, mainly used to process large-scale data sets (called data slices). It has the following significant advantages:

1. High availability: NDB Cluster supports multi-master replication, which can achieve redundant backup of data, thereby improving system availability.
2. Scalability: NDB Cluster can be expanded horizontally to expand system performance by adding nodes.
3. Real-time: NDB Cluster provides real-time operations and strong consistency capabilities, and is suitable for real-time applications and online transaction processing.

2. NDB Cluster performance optimization methods
When using the NDB Cluster storage engine, you can take the following methods to improve its performance:

1. Rational design NDB Cluster data structure: NDB Cluster is a memory-based storage engine, so the table structure and indexes need to be properly designed to reduce data IO operations. Vertical sharding and horizontal sharding can be used to optimize data storage efficiency.
2. Avoid excessive indexing: Too many indexes will increase the cost of write operations, so excessive indexing needs to be avoided. You can avoid unnecessary index operations by analyzing and optimizing queries.
3. Control the number of transactions in NDB Cluster: Too many transactions will increase the load on the system and lead to performance degradation. The load on the system can be controlled by adjusting the concurrency and isolation level of transactions.
4. Configure reasonable NDB Cluster parameters: NDB Cluster has some important configuration parameters, such as the number of concurrent connections of data nodes, the memory and disk space of data nodes, etc. These parameters need to be configured reasonably according to the actual situation to achieve the best performance.

3. Practical experience of NDB Cluster
The following uses code examples to demonstrate how to use NDB Cluster and show some practical experience.

1. Create NDB Cluster table:

   CREATE TABLE `my_table` (
     `id` int(11) NOT NULL AUTO_INCREMENT,
     `name` varchar(255) DEFAULT NULL,
     `age` int(11) DEFAULT NULL,
     PRIMARY KEY (`id`)
   ) ENGINE=NDBCLUSTER DEFAULT CHARSET=utf8;

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2. Insert data:

   INSERT INTO `my_table` (`name`, `age`) VALUES ('John', 25);

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3. Query data:

   SELECT * FROM `my_table`;

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4. Update data:

   UPDATE `my_table` SET `age` = 30 WHERE `name` = 'John';

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5. Delete data:

   DELETE FROM `my_table` WHERE `name` = 'John';

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Through the above code example, you can See the simple use of NDB Cluster. In actual applications, further optimization and configuration can be carried out according to specific business needs.

Summary:
NDB Cluster is a powerful and flexible storage engine that can provide high availability and scalability database solutions. When using NDB Cluster, you need to properly design the data structure, avoid excessive indexing, control the number of transactions, and configure reasonable parameters. Through practice and optimization, you can maximize the performance of NDB Cluster.

Reference:

1. MySQL official documentation (https://dev.mysql.com/doc/ndb-cluster/en/)
2. MySQL NDB Cluster Quick Start Guide (https://www.cnblogs.com/sparkdev/p/10468050.html)

(Note: The sample code used in this article is for demonstration purposes only. Please follow the instructions for actual use. Modify and adjust according to your own needs.)

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