After installing & configuring Dolphie, let’s take a look into how we can “re-record not fadeaway” and avoid using a VHS tape.

One of the coolest features is being able to go back in time with Dolphie and analyze what was happening at a specific moment.

This feature requires recording so we can replay.

Setting Dolphie up for recording mode.

I’m really just going to share the links to the the github site and organize my steps so someone else might want to rinse’n’repeat or “replay”. I’m just a mere messenger.

It works via the Daemon mode. …

I have been looking into “dolphie” lately, and have to say, “thanks Charles!”. I actually first saw dolphie via Lefred’s MySQL Belgian Days and installed it just after looking into the slidedeck. But never got around to looking further… until now.

We can use so many different observability (o11y?) tools to get notifications, alerts, react, generate reports, etc. from so many different companies, using agents, proxies, repositories, and so on and so forth. And after exchanging experiences with dolphie’s author himself, Charles, the idea here is to go that little bit further in …

Recently I was asked a question: Why am I getting utf8mb4_0900_ai_ci as the default collation in MySQL 8, despite setting the server to use utf8mb4_general_ci? With the upgrade to MySQL…

The post MySQL 8 utf8mb4_0900_ai_ci collation confusion first appeared on Change Is Inevitable.

This was principally written for my SQL students but I thought it might be useful to others. SQL calculation are performed row-by-row in the SELECT-list. In its simplest form without even touching a table, you can add two literal numbers like this:

SELECT 2 + 2 AS result;

It will display the result of the addition to the column alias result as a derived table, or the following result:

+--------+
| result |
+--------+
|      4 |
+--------+
1 row in set (0.00 sec)

Unfortunately, the use of literal values as shown above doesn’t really let you see how the calculation is made row-by-row because it only returns one row. You can rewrite the two literal values into one variable by using a Common Table Expressions (CTEs). The CTE creates an struct tuple with only one x element. Another way to describe what the CTE does would say, it creates a derived table named struct with a single …

Even though I used a dedicated Kubernetes cluster to host my test database, I had this belief that by not explicitly allocating (or requesting, in Kubernetes vocabulary) CPU resources to my Percona XtraDB Cluster (PXC) pods or yet making just a small request, Kubernetes could be delaying access to the free CPU cycles available on […]

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:

 …

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 …

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.

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.

The post How to Connect PHP With MySQL appeared first on Devart Blog.