MySQL Cluster: El ‘qué’ y el ‘cómo’.
Para aquellos que encuentran mucho sobre MySQL en Inglés pero poco en Español: mi pequeña aportación.
En el enlace tenéis información sobre qué es MySQL Cluster y cómo funciona. Incluso con ejemplos técnicos para romper las barreras y ayudar a simplificarlo (espero).
Posted in CGE, Cluster 7.3, Cluster Manager, MySQL, MySQL Cluster, Oracle, Uncategorized
Tagged MySQL, mysql 7.4, MySQL CGE, MySQL Cluster, MySQL Cluster Carrier Grade Edition, MySQL Cluster Intro, MySQL Cluster Manager, NDB
One of the cool new features in 5.7 Release Candidate is Multi Source Replication, as I previously looked into in 5.7.5 DMR.
I’ve had more and more people like the idea of this, so here’s a quick set-up as to what’s needed and how it could work.
1. Prepare master environments.
2. Prepare 40 masters for replication.
3. Create slave.
4. Insert data into the Masters.
Carrying on with my MySQL 5.7 Labs Multi Source Replication scenario, I wanted to evaluate performance impact via MySQL Enterprise Monitor.
Whilst I opened my environment, I remember that I had generated lots of different skeleton scripts that allowed me to deploy the 50 servers quickly, and I didn’t want to add each of my targets 1 by 1 in MEM. So, I used one of the many features available, “Add Bulk MySQL Instances”.
Posted in MEM 3.0, Multi Source Replication, MySQL, MySQL Enterprise Edition, MySQL Enterprise Monitor, Replication
Tagged 5.7, labs.mysql.com, MEM, MEM 3.0, MySQL, MySQL Enterprise Monitor, MySQL Enterprise Monitor 3.0, MySQL Multi Source Replication, Replication
A customer asked whether we they could have 10 or more masters consolidate all the data into a single central slave. After getting a bit more information from them and seeing the application functionality, it was clear that MySQL Labs 5.7.5 Multi Source Replication could be a good candidate. Why?:
– Each master is independent from the rest of the masters.
– One-way traffic: there is only one way to update a row, and that’s from the master.
– All the masters use the same schema and table, but no single master will ever need to, nor be able to update a row from another master.
– PK determined via app & master env.
Multisource replication is still in http://labs.mysql.com, but here’s what I did to test it out.
So, the good thing about MEM 3.0 is that it’s agentless, i.e. you don’t need an agent to use Query Analyzer data and see when performance is at it’s worst and dive into the offending SQL’s and explain plans to see what’s happening.
That’s great, however, sometimes it’s not always an easy road to migrate to 5.6 and even if you’re doing so, there’s nearly always a time when you want to continue viewing things in 5.5.x and compare performance between the 2.
The thing is, that in order to see the Explain Plans we need 5.6.14 or upwards (and setting “UPDATE performance_schema.setup_consumers SET enabled = ‘YES’ WHERE name = ‘events_statements_history_long’;” ).
So, here’s how to do it:
Ok, so I wanted to look into the new compression options of MEB 3.10.
And I would like to share my tests with you. Remember, they’re just this, tests, so please feel free to copy n paste and obtain your own results and conclusions, and should I say it, baselines, in order to compare future behaviour, on your own system.
An Oracle Linux 6.3 virtual machine with 3Gb RAM, 2 virtual threads, on a 1x quad core, windows laptop. Not pretty, but hey.
So, these tests are solely about backup. I’ll do restore when I get some *more* time.
Posted in Backup, MEB, MySQL, MySQL Enterprise Backup, MySQL Enterprise Edition, Oracle, Recovery
Tagged --compress-level, --compress-method, 3.10, 3.9, backup performance, compression, enterprise backup, Full Backup, MEB, MySQL, MySQL Enterprise Backup, Oracle Linux, VirtualBox