The latest update to MySQL Enterprise edition, version 9.1, introduces significant enhancements focused on replication monitoring. This update includes improvements to Group Replication Flow Control and the replication applier, providing users with better visibility and control over their replication performance, leading to potential long-term cost savings by ensuring efficient usage of their machine resources.

Different ways to get the status:

mysqlsh --login-path=icadmin -h$MYROUTER1 -- cluster status

mysqlsh --login-path=icadmin -h${HOSTNAME} --redirect-primary -- cluster status

mysqlsh icadmin:'P4ssw0rD'@db01:3306 -- cluster status --extended=0

mysqlsh icadmin@$MYROUTER1:3306 -- cluster status --extended=1

watch -n 5 “mysqlsh --login-path=icadmin -h$MYROUTER1 -- cluster status”

Set the Primary Instance (switching):

mysqlsh --login-path=icadmin -h${HOSTNAME} --redirect-primary -- cluster set_primary_instance "db01"

Obtaining MySQL InnoDB Cluster basics:

select cluster_id, cluster_name, description, cluster_type, primary_mode, clusterset_id from mysql_innodb_cluster_metadata.clusters;

Members of our cluster:

select * from performance_schema.replication_group_members order by MEMBER_ROLE;

Local & Remote Trans Q’s:

 …

BSE leverages MySQL Enterprise Edition for processing 150 million trades and 5 billion orders per day.

So, we’ve heard that jemalloc is better than malloc for MySQL usage, and in fact, certain versions / forks of mysql already include this, eg. Percona Server (https://github.com/percona/jemalloc).

But, how can I install and configure my system to use it?

Here’s a quick push in the, hopefully, right direction.

First things first, what is “jemalloc” and how does it affect my system? I think it’s quite well explained here: https://www.percona.com/blog/impact-of-memory-allocators-on-mysql-performance/ albeit an old article.

The right place to get the latest …

MySQL not only helps financial institutions bolster their profitability but also equips them to thrive in a rapidly changing market. Embracing MySQL is a strategic move for any financial services organization looking to secure its future in a digital-first world. Read the full blog.

I love my job. One of the best feelings is when I find an interesting paper and use it to solve a real problem. It feels like I found a cheat code. Instead of having to do a lot of hard thinking, I can just stand on the shoulders of really big people and take a shortcut. Here, I want to share a recent project that I could solve using a public paper.

In the last weeks / months, I have been working on understanding / improving MySQL startup with many tables.  I already wrote two posts on the subject, the links are below.  So far, I did not share what brought my attention to this, and it is the subject of this post.  Also, and because it is related, I come back to the optimization / contribution I already made on

Don’t have time to read Efficient MySQL Performance? Here’s the book (10 chapters) in one-liners.

1. Performance is query response time.
2. Proper left-most indexing is required for performance.
3. The less data, the better.
4. Access patterns (part of the workload) help or hinder performance.
5. Sharding is how to scale writes when single-node performance is truly reached.
6. Server metrics reflect how the app workload causes MySQL to work.
7. Replication lag is data loss.
8. Locks are held until a transaction commits, so commit quickly.
9. There are many other challenges that you might need to address—sorry.
10. MySQL in the cloud is slower and more expensive, so performance is more important than ever.

Read on to learn about how to connect PHP with a MySQL database using different methods, including mysqli, PDO, and dbForge for MySQL.

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Cloud-based database hosting seems to be an extremely viable solution for modern apps. After all, the entire management-and-maintenance thing is relegated to the hosting provider, scalability is not an issue, and you are free to focus on product development as you see fit.

The post Top MySQL Hosting Providers in 2024 for Reliable Database Management appeared first on Devart Blog.