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The latest from the MySQL community

Ideas, releases, practical guides, and perspectives from the people building with MySQL.

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MySQL Shell 8.0.25 for MySQL Server 8.0 and 5.7 has been released

Dear MySQL users,

MySQL Shell 8.0.25 is a maintenance release of MySQL Shell 8.0 Series (a
component of the MySQL Server). The MySQL Shell is provided under Oracle’s
dual-license.

MySQL Shell 8.0 is highly recommended for use with MySQL Server 8.0 and 5.7.
Please upgrade to MySQL Shell 8.0.25.

MySQL Shell is an interactive JavaScript, Python and SQL console interface,
supporting development and administration for the MySQL Server. It provides
APIs implemented in JavaScript and Python that enable you to work with MySQL
InnoDB Cluster and use MySQL as a document store.

The AdminAPI enables you to work with MySQL InnoDB Cluster and InnoDB
ReplicaSet, providing integrated solutions for high availability and
scalability using InnoDB based MySQL databases, without requiring advanced
MySQL expertise.  For more information …

[Read more]
MyDumper 0.10.5 is Now Available

The new MyDumper 0.10.5 version, which includes many new features and bug fixes, is now available.  You can download the code from here.

For this release, we focused on fixing some old issues and testing old pull requests to get higher quality code. On releases 0.10.1, 0.10.3, and 0.10.5, we released the packages compiled against MySQL 5.7 libraries, but from now on, we are also compiling against MySQL 8 libraries for testing purposes, not releasing, as we think that more people in the community will start compiling against the latest version, and we should be prepared.

New Features:

  • Password obfuscation #312
  • Using …
[Read more]
Sysbench evaluation of RonDB

 

Introduction

Sysbench is a tool to benchmark to test open source databases. We have integrated Sysbench into the RonDB installation. This makes it extremely easy to run benchmarks with RonDB. This paper will describe the use of these benchmarks in RonDB. These benchmarks were executed with 1 cluster connection per MySQL Server. This limited the scalability per MySQL Server to about 12 VCPUs. Since we executed those benchmarks we have increased the number of cluster connections per MySQL Server to 4 providing scalability to at least 32 VCPUs per MySQL Server.


As preparation to run those benchmarks we have created a RonDB cluster using the Hopsworks framework that is currently used to create …

[Read more]
Compiling Percona XtraBackup for ARM

This blog post will show how to compile the Percona XtraBackup (PXB) tool for ARM. For this, we are going to use an AWS EC2 ARM instance with Ubuntu 20.04(Focal Fossa).

The motivation for this was born in my interest in the new generation of ARM processors and if this is a viable option for the future. Ideally, I do not recommend installing all the necessary packages to compile Xtrabackup in a production environment for security reasons. Still, you can have a “compiling” server for this purpose and then move the binaries around.

Machine Configuration

For this blog post, I picked a c6g.2xlarge instance. The machine has the following hardware configuration:

…
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Resolving the MySQL Active-Active Replication Dilemma

Multi-writer replication has been a challenge in the MySQL ecosystem for years before truly dedicated solutions were introduced – first Galera (and so Percona XtradDB Cluster (PXC)) replication (around 2011), and then Group Replication (first GA in 2016).

Now, with both multi-writer technologies available, do we still need traditional asynchronous replication, set up in active-active topology? Apparently yes, there are still valid use cases. And you may need it not only when for some reason Galera/PXC or GR are not suitable, but also when you actually use them. Of course, the most typical case is to have a second cluster in a different …

[Read more]
MySQL+PowerShell

It was interesting to note that the MySQL Connector/NET Developer Guide doesn’t have any instructions for connecting to the MySQL database from Microsoft Powershell. I thought it would be helpful to write a couple demonstrations scripts, especially when a quick search didn’t find a set of easy to follow samples.

The connection process to MySQL with Powershell is easiest with a non-query, so I created a db_connect table into which I could write a row of data:

CREATE TABLE db_connect
( db_connect_id  INT UNSIGNED PRIMARY KEY AUTO_INCREMENT
, version        VARCHAR(10)
, user           VARCHAR(24)
, db_name        VARCHAR(10));

The following insert.ps1 PowerShell script connects to the MySQL database, and inserts one row into the db_connect table:

# Connect to the libaray …
[Read more]
Accessing MySQL NDB Cluster Database From MySQL Connector/Python

In this post, we will see how to access database and its objects in MySQL NDB Cluster from Connector/python program. I assume that the reader has some basic understanding of python language and MySQL NDB Cluster.
Let’s create a MySQL NDB Cluster with the following environment:

  • MySQL NDB Cluster version (Latest GA version)
  • 1 Management node
  • 4 Data nodes
  • 1 Mysqld server
  • Configuration slots for up to 4 additional API nodes
  • Connector/Python version (Latest GA version)

Note: Python software must be installed on the same host where we are planning to install MySQL Connector/Python.

MySQL NDB Cluster Architecture:
Let’s look at the MySQL NDB Cluster architecture.

…

[Read more]
MySQL Shell 8.0.24 for MySQL Server 8.0 and 5.7 has been released

Dear MySQL users,

MySQL Shell 8.0.24 is a maintenance release of MySQL Shell 8.0 Series (a
component of the MySQL Server). The MySQL Shell is provided under Oracle’s
dual-license.

MySQL Shell 8.0 is highly recommended for use with MySQL Server 8.0 and 5.7.
Please upgrade to MySQL Shell 8.0.24.

MySQL Shell is an interactive JavaScript, Python and SQL console interface,
supporting development and administration for the MySQL Server. It provides
APIs implemented in JavaScript and Python that enable you to work with MySQL
InnoDB Cluster and use MySQL as a document store.

The AdminAPI enables you to work with MySQL InnoDB Cluster and InnoDB
ReplicaSet, providing integrated solutions for high availability and
scalability using InnoDB based MySQL databases, without requiring advanced
MySQL expertise.  For more information …

[Read more]
MySQL Group Replication: Conversion of GR Member to Async Replica (and Back) In the Same Cluster

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 …

[Read more]
How to optimize slow INSERT queries in MySQL

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.

  2. …
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