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Displaying posts with tag: ha (reset)
MySQL InnoDB Cluster – consistency levels

Consistency during reads have been a small concern from the adopters of MySQL InnoDB Cluster (see this post and this one).

This is why MySQL supports now (since 8.0.14) a new consistency model to avoid such situation when needed.

Nuno Carvalho and Aníbal Pinto already posted a blog series I highly encourage you to read:

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MySQL InnoDB Cluster – howto install it from scratch

MySQL InnoDB Cluster is evolving very nicely. I realized that the MySQL Shell also improved a lot and that it has never been so easy to setup a cluster on 3 new nodes.

This is a video of the updated procedure on how to install MySQL InnoDB Cluster on GNU Linux rpm based (Oracle Linux, RedHat, CentOS, Fedora, …)

Native Galera Support In ProxySQL

The latest enhancement in ProxySQL v2.0.0 is the native support of Galera Cluster. No more need to use an external script within the scheduler like explained also in this post of ours.

This document will cover how to take an advantage of the new feature and integrate ProxySQL with Percona XtraDB Cluster to monitor galera node status and read-write split performed by ProxySQL. To illustrate we will use a cluster of 3 nodes, below are the details:

IP address Hostname
172.16.1.112 db-node01
172.16.1.113 db-node02
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How to backup your InnoDB Cluster ?

MySQL InnoDB is more and more popular. The adoption of it is even faster than I expected. Recently, during my travel in Stockholm, Sweden, a customer asked me what was the best practice to backup a cluster.

Since my interlocutor was a customer, the obvious choice is to use MySQL Enterprise Backup (known as MEB). Of course any other physical backup should be also fine.

The customer told me he was using cron to schedule his backup and was only using full backups… That’s perfect. So I told him that there is nothing complicated and that the cron job should something like:

mysqlbackup --with-timestamp --backup-dir /backup  backup

Of course, I do not recommend the use of --user clusteradmin --password=xxxxxin the cronjob but configure your crendentials using

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pre-FOSDEM MySQL Day 2019

For the third year in a row, we will take advantage of the mass presence of our MySQL Engineers during FOSDEM to organize the pre-FOSDEM MySQL Day.

The program of this 3rd edition is already on track, thank you to all the speakers who already confirmed their participation.

Start End Event Speaker Company Topic
Friday 1st February
09:30 10:00 MySQL Community Team Welcome
10:00
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MySQL InnoDB Cluster with 2 Data Centers for Disaster Recovery: howto – part 2

In the first part of this howto, I illustrated how to setup two MySQL InnoDB Cluster linked by an asynchronous replication.

In that solution, I didn’t use any replication filters to ignore the replication of the InnoDB Cluster’s metadata (mysql_innodb_cluster_metadata), but I used the same metadata tables with two different clusters in it.

The benefit is that this allows to backup everything from any node in any of the data center, it works also in MySQL 5.7, and there is not risk to mess up with the replication filters.

In this blog I will show how to use replication filters to link two different clusters. This doesn’t work on …

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MySQL InnoDB Cluster with 2 Data Centers for Disaster Recovery: howto

As you know, MySQL InnoDB Cluster is a High Availability solution for MySQL. However more and more people are trying to use it as a Disaster Recovery solution with 2 data centers. Natively, this is not yet supported. But it’s already possible to realize such setup if we agree with the following points:

  •  a human interaction is required in case of Disaster Recovery which, by my own experience, is often acceptable
  • a human interaction is required if the any Primary-Master acting as asynchronous slave leaves its group  (crash, network problem, …) or becomes secondary

These are not big constraints and it’s relatively easily to deal with them.

The Architecture

The situation is as follow:

  • 2 data centers (one active, one inactive, only used for disaster recovery)
  • 2 MySQL InnoDB Clusters (one in each DC)
  • 3 members in each …
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No-Downtime Cluster Software Upgrades

One important way to protect your data is to keep your Tungsten Clustering software up-to-date.

A standard cluster deployment uses three nodes, which allows for no-downtime upgrades along with the ability to have a fully available cluster during maintenance.

Please note that with only two database cluster nodes, there is a window of vulnerability created by leaving zero failover candidates available when the lone slave is taken down for service.

The Best Practices: Staging Performing a No-Downtime Upgrade for a Staging Deployment

When upgrading a Staging-style deployment, all nodes are upgraded at once in parallel via the tools/tpm update command run from inside the staging directory on the staging host.

No Master switch happens, and all layers are restarted to use the new code. …

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Picking a Deployment Method: Staging versus INI

Tungsten Clustering is an extraordinarily flexible tool, with options at every layer of operation.

In this blog post, we will describe and discuss the two different methods for installing, updating and upgrading Tungsten Clustering software.

When first designing a deployment, the question of installation methodology is answered by inspecting the environment and reviewing the customer’s specific needs.

Staging Deployment Methodology

All for One and One for All

Staging deployments were the original method of installing Tungsten Clustering, and relied upon command-line tools to configure and install all cluster nodes at once from a central location called the staging server.

This staging server (which could be one of the cluster nodes) requires SSH access to all …

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Cluster Performance Validation via Load Testing

Your database cluster contains your most business-critical data and therefore proper performance under load is critical to business health. If response time is slow, customers (and staff) get frustrated and the business suffers a slow-down.

If the database layer is unable to keep up with demand, all applications can and will suffer slow performance as a result.

To prevent this situation, use load tests to determine the throughput as objectively as possible.

In the sample load.pl script below, increase load by increasing the thread quantity.

You could also run this on a database with data in it without polluting the existing data since new test databases are created to match each node’s hostname for uniqueness.

Note: The examples in this blog post assume that a Connector is …

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