Introduction In this article, we are going to see what a Clustered Index is and why it’s very important to understand how tables are organized when using a relational database system. B+ Tree The most common index used in a relational database system is the B+ Tree one. Like the B-Tree index, the B+ Tree is a self-balanced ordered tree data structure. Both the B-Tree and the B-Tree start from a Root node and may have Internal Nodes and Leaf Nodes. However, unlike the B-Tree, the B+ Tree stores all the keys... Read More

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Dear MySQL users,

MySQL Connector/NET 8.0.24 is the latest General Availability release
of the MySQL Connector/NET 8.0 series. This version supports .NET 5.0
and the X DevAPI, which enables application developers to write code
that combines the strengths of the relational and document models
using a modern, NoSQL-like syntax that does not assume previous
experience writing traditional SQL.

To learn more about how to write applications using the X DevAPI, see

http://dev.mysql.com/doc/x-devapi-userguide/en/

For more information about how the X DevAPI is implemented in
Connector/NET, see

http://dev.mysql.com/doc/dev/connector-net

NuGet packages provide functionality at a project level. To get the
…

Dear MySQL users,

MySQL Connector/Node.js is a new Node.js driver for use with the X

DevAPI. This release, v8.0.24, is a maintenance release of the

MySQL Connector/Node.js 8.0 series.

The X DevAPI enables application developers to write code that combines

the strengths of the relational and document models using a modern,

NoSQL-like syntax that does not assume previous experience writing

traditional SQL.

MySQL Connector/Node.js can be downloaded through npm (see

  https://www.npmjs.com/package/@mysql/xdevapi for details) or from

https://dev.mysql.com/downloads/connector/nodejs/.

To learn more about how to write applications using the X DevAPI, see

…

The MySQL Development team is very happy to announce that MySQL 8.0.24 is now available for download at dev.mysql.com. In addition to bug fixes there are a few new features added in this release.  Please download 8.0.24 from dev.mysql.com or from the MySQL  Yum,  APT, or SUSE repositories.…

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Dear MySQL users,

MySQL Connector/ODBC 8.0.24 is a new version in the MySQL Connector/ODBC
8.0 series, the ODBC driver for the MySQL Server.

The available downloads include both a Unicode driver and an ANSI driver
based on the same modern codebase. Please select the driver type you
need based on the type of your application – Unicode or ANSI.
Server-side prepared statements are enabled by default. It is suitable
for use with the latest MySQL server version 8.0.

This release of the MySQL ODBC driver is conforming to the ODBC 3.8
specification. It contains implementations of key 3.8 features,
including self-identification as a ODBC 3.8 driver, streaming of out (for
binary types only), and support of the SQL_ATTR_RESET_CONNECTION
connection attribute (for the Unicode driver only).

The release is now available in source and …

Dear MySQL users,

MySQL Connector/Python 8.0.24 is the latest GA release version of the
MySQL Connector Python 8.0 series. The X DevAPI enables application
developers to write code that combines the strengths of the relational
and document models using a modern, NoSQL-like syntax that does not
assume previous experience writing traditional SQL.

To learn more about how to write applications using the X DevAPI, see

  http://dev.mysql.com/doc/x-devapi-userguide/en/

For more information about how the X DevAPI is implemented in MySQL
Connector/Python, and its usage, see

  http://dev.mysql.com/doc/dev/connector-python

Please note that the X DevAPI …

MySQL Group Replication is a plugin that helps to implement highly available fault-tolerant replication topologies. In this blog, I am going to explain the complete steps involved in the below two topics.

• How to convert the group replication member to an asynchronous replica
• How to convert the asynchronous replica to a group replication member

Why Am I Converting From GR Back to Old Async?

Recently I had a requirement from one of our customers running 5 node GR clusters. Once a month they are doing the bulk read job for generating the business reports. When they are doing the job, it affects the overall cluster performance because of the flow control issues. The node which is executing the read job is overloaded and delays the certification and writes apply process. The read job queries can’t be split across the cluster.  So, they don’t want that …

In this blog, we will discuss about how to perform cluster configuration changes while cluster is up and processing transactions (online).

In MySQL NDB Cluster, configuration data is parsed and distributed by the management server (MGMD) nodes. Users supply an input text file (commonly known as config.ini) which describes cluster topology, resource usage limits and other parameters. The MGMD nodes parse this file, combine it with designed in defaults and serve the resulting configuration to other node types (data nodes, api nodes), when they connect.
Reasons for changing configuration might include:

- Increased resource usage limits (Data memory, IndexMemory, buffers)
- Adding a new configuration parameter(s) i.e. enabling a new feature
- Unsupported configuration parameter taken out during downgrade to lower version i.e. disabling a feature
- etc ..

MySQL Cluster nodes pick …

In this blog series, I’m describing how InnoDB locks data (tables and rows) in order to provide illusion to clients that their queries are executed one after another, and how this was improved in recent releases.

So far we saw that access right currently granted and waiting to be granted are represented as record locks and table locks objects in memory, which we can inspect via performance_schema.data_locks.…

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At some points, many of our customers need to handle insertions of large data sets and run into slow insert statements. This article will try to give some guidance on how to speed up slow INSERT SQL queries.

The following recommendations may help optimize your data loading operations:

1. Remove existing indexes - Inserting data to a MySQL table will slow down once you add more and more indexes. Therefore, if you're loading data to a new table, it's best to load it to a table without any indexes, and only then create the indexes, once the data was loaded.

   When you're inserting records, the database needs to update the indexes on every insert, which is costly in terms of performance. It's much faster to insert all records without indexing them, and then create the indexes once for the entire table.

…