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Displaying posts with tag: InnoDB Cluster (reset)
Making my MySQL InnoDB Cluster safe from naughtiness

TL;DR: Make sure to run “SET persist_only disabled_storage_engines=’MyISAM’, persist sql_generate_invisible_primary_key=ON;” on all instances and restart each one in your MySQL InnoDB Cluster.

Ok, what does “safe from naughtiness” mean?:
– Anyone creating tables that aren’t InnoDB, as this doesn’t make sense, after all, it is an “InnoDB” cluster.
– Making sure all tables have a Primary Key (invisible or not).
– Making sure that my (invisible) primary keys are visible to the cluster as it will rightfully complain if they aren’t!

This basically means that once you’ve got it all up and running you won’t run into those horrible situations whereby someone, somewhere, creates a MyISAM table that didn’t have a Primary Key and thus leave you with a broken cluster.

Eg.

MySQL rtnode-01:3306 ssl JS > vlc.status()
{
 "clusterName": "VLC",
 "clusterRole": "PRIMARY", …
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Observing InnoDB Cluster: A different approach for specific info extraction

Now this is far from being any observability manual for your InnoDB Cluster and let alone go into everything MySQL Shell API Admin, or the collectDiagnostics utility. You can also use the default javascript commands that we all know and love via dba.getCluster() and so on, but here’s a different take.

I just want to share something I’ve been playing with to pull out some key info from mycluster. Hope it helps someone else out there.

General setup:

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

Members of our cluster:

select * from …
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MySQL install ‘n’ config one-liners

Back again, now with MySQL installs. And this means using the MySQL repository this time around.

I’ve been installing and configuring InnoDB Clusters and ClusterSets and thinking about the Ansible and Terraform users amongst us, maybe one-liners might help someone out there.

So, what about if I share how to install the MySQL repo, install the MySQL instance, create an InnoDB Cluster, add a MySQL Router, create a ClusterSet, make sure the Router is ClusterSet-aware, and then test it out. And all via one-liners.

First up, obrigado Miguel for https://github.com/miguelaraujo/ClusterSet-Demo.

To simplify the command execution sequence, these sections aim to help summarize the technical commands required to create the whole platform. And on a default path & port configuration, to ease operational deployments for all those 000’s of …

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MySQL 8.3: Purging data from your InnoDB Cluster

Maintaining a production dataset at a manageable size can present a considerable challenge during the administration of a MySQL InnoDB Cluster.

Old Days

Back in the day when we only had one main copy of our data (the source), and one read copy (the replica) that we used to look at current and old data from our main system, we used a special trick to remove data without affecting the replica. The trick was to turn off writes to the binary log for our removal commands in the main system. External tools like pt-archiver were also able to use that trick. To stop bypass writing into the binary log, we used the command: SET SQL_LOG_BIN=0.

This mean that on the main production server (replication source), we were purging the data without writing the delete operation into the binary logs:

Current Days

These …

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How to Use Group Replication with Haproxy

When working with group replication, MySQL router would be the obvious choice for the connection layer. It is tightly coupled with the rest of the technologies since it is part of the InnoDB cluster stack.The problem is that except for simple workloads, MySQL router’s performance is still not on par with other proxies like Haproxy […]

MySQL Shell AdminAPI: different ways to call the commands… same effect?

During last Ubuntu Summit in Riga, I got an interesting question from Alex Lutay, engineering manager at Canonical regarding the different ways to perform some Admin API commands in MySQL Shell.

He wanted to know why, in the manual and blogs, we always use separate commands instead of combining them, as he would expect this to have an impact on the connections established with the server.

Let’s illustrate this by looking at the different ways of obtaining the state of a cluster. Here are the four different methods:

Method 1

This is the method most frequently used in the documentation:

$ mysqlsh admin@10.0.0.1
JS> cluster=dba.getCluster()
JS> cluster.status() 

Method 2

This is Alex’s preferred method as he expects to have less round trips with the network:

$ …
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Deploying WordPress and MySQL on OKE using MySQL Operator for Kubernetes

Let’s see how to deploy WordPress and MySQL on a Kubernetes Cluster. The Kubernets cluster we are using is OKE (Oracle Kubernetes Engine) in OCI (Oracle Cloud Infrastructure):

OKE Cluster

We start by creating a Kubernetes Cluster on OCI using the Console:

We select the Quick create mode:

We need to name our cluster and make some choices:

When created, we can find it in the OKE Clusters list:

And we can see the pool of workers nodes and the workers:

kubectl

I like to use kubectl directly on my latop to manage my K8s Cluster.

On my Linux Desktop, I need to install kubernetes-client package (rpm).

Then on the K8s Cluster details, you can click on Access Cluster to get all the commands to use:

We need to copy them on our terminal and then, I like to also enable the bash completion for …

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How to get client’s IP address when using MySQL Router ?

When you connect to a server (or cluster) using a TCP proxy level 7, also referred to as an application-level or Layer 7 proxy (highest level of the OSI model), the application doesn’t connect directly to the back-end server(s). The proxy usually understands the protocol used and can eventually take some decisions or even change the request.

The problem when using such proxy (like HA Proxy, ProxySQL and MySQL Router) is that the server doesn’t really know from where the client is connecting. The server sees the IP address of the proxy/router as the source IP of the client.

HA Proxy initially designed the Proxy Protocol, a simple protocol that allows a TCP connection to transport proxy-related information between the client, the proxy server and the destination server. The main purpose of the Proxy Protocol is then to preserve the client’s original IP address (with some others metadata). See …

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Migration from Percona XtraDB Cluster/Galera to MySQL InnoDB Cluster in 10 steps

MySQL InnoDB Cluster is the official High Availability solution for and from MySQL.

MySQL InnoDB Cluster is composed by MySQL Server, MySQL Group Replication, MySQL Router and MySQL Shell.

Before InnoDB Cluster there was no standard solution for MySQL Availability and many custom solutions were used (some better than the others). But there was a good solution using some similar principles of MySQL Group Replication: Galera.

Now that MySQL InnoDB Cluster is mature and easier to orchestrate than galera, I receive a lot of requests on how to migrate from Galera (or Percona XtraDB Cluster) to MySQL InnoDB Cluster.

I already wrote some time ago an article on this process: how to migrate from Galera to MySQL Group Replication.

In this article we will see how we can migrate from Percona XtraDB …

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Setup DR for your MySQL InnoDB Cluster

MySQL InnoDB Cluster is the High Availability solution for MySQL. It delivers automatic fail-over and guarantees zero data loss (RPO=0).

RPO: Recovery Point Objective describes the interval of time that might pass during a disruption before the quantity of data lost during that period exceeds the Business Continuity Plan’s maximum allowable tolerance.

Example: our business architecture needs to have RPO=2 minutes. This means that in case of failure, 2 minutes of data can be lost.

However, and we saw this recently in Europe, an entire data center can “disappear” instantaneously… So it’s also important to have a Disaster Recovery plan.

One solution, is to have an InnoDB Cluster (Group Replication) that spans across multiple regions. However, this is often not feasible because of high latency across regions.

Another solution is InnoDB Cluster in one region with Asynchronous …

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