If you are a developer that deals with MySQL or a MySQL database administrator, you probably know what MySQL database engines are. One of the most popular database engines as far as MySQL or MariaDB is concerned is InnoDB. – This storage engine is very widely regarded as a high-performance storage engine that also balances high performance with high reliability.
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This storage engine replaced MyISAM since generally used in MySQL 5.5 which was – MyISAM was released in 2010. This blog post will go through what MySQL can offer in this space and how dbWatch can help monitor performance and reliability issues.
How does InnoDB Ensure High Performance and Reliability?
If you ask a MySQL database administrator or a developer who deals with databases, how does InnoDB ensure high performance and reliability? You will probably hear the term “ACID” being mentioned. As it deals with databases, the term ACID is an acronym for four words: Atomicity, Consistency, Isolation, and Durability. Here’s how InnoDB ensures that the ACID parameters are being followed:
– InnoDB can ensure that statements in a transaction operate as an indivisible unit, and their effects are either seen collectively or not seen at all.
– InnoDB has logging mechanisms that record all of the changes to the database.
– InnoDB has row-level locking.
– InnoDB also tracks all of the changes to the system by maintaining a log file.
How can dbWatch Help Ensure InnoDB High Performance and Reliability?
If you want to ensure that your MySQL InnoDB instances follow high performance and reliability principles, keep an eye on dbWatch. dbWatch has quite a few jobs that are aimed to ensure that the performance of your InnoDB instances will follows the high performance and high-reliability principles. Here’s how that looks like at the time this blog post is written:
Simply expand the Performance job section and you will see a couple of database-based jobs that can help you monitor the binlog cache, monitor your database load, and your lock statistics. It can show you your memory setup, your query cache hit rate, session load, temporary table status, etc. But we are interested in one job – that’s the InnoDB buffer pool checking job.
Right-click the job, click Details, and you should see this screen which explains what the job does in detail:
This graph depicts the hit ratio for the InnoDB buffer pool. In order to ensure that your InnoDB instances follow high-performance principles, aim for:
The hit ratio to be as high as possible – when InnoDB cannot read from the buffer pool, the disk is accessed. Queries hitting the disk are usually slower.
A large InnoDB buffer pool value – the larger it is, the less disk I/O is needed to access data in tables.
To set these parameters up, you might want to make use of the free –h command (this command displays how much RAM is free in your system in a human-readable format) – to make a good decision, evaluate your project needs upfront and account the RAM usage for the applications that will run on your server.
dbWatch also shows you a graph that depicts the actual usage of the InnoDB buffer pool by your database instances. – it shows the total number of the buffer pool read requests and how many of them accessed the disk:
dbWatch also allows you to configure this job easily –right-click and click Configure, and you should see this screen:
As you can see, dbWatch also lets you configure the hit ratio alarm and warning thresholds., mMeaning that you will be presented with a warning or a notice if the InnoDB buffer pool hit ratio falls below specific values in percent (%).
Summary
InnoDB is widely known as a high-performance and high-reliability storage engine for most developers that deal with MySQL and MySQL DBAs. To push your InnoDB instances to the next level and help ensure they stay highly performant and reliable, use the jobs provided by dbWatch – doing so should help your database instances run smoothly and keep you sleeping soundly at night. If you need any further assistance, feel free to contact the team – they will be glad to help you out.
