While implementing ClickHouse for query executions statistics storage in Percona Monitoring and Management (PMM), we were faced with a question of choosing the data type for metrics we store. It came down to this question: what is the difference in performance and space usage between Uint32, Uint64, Float32, and Float64 column types?
To test this, […]
In one of my previous posts, I started a series on data compression options with MySQL. The first post focused on the more traditional compression options like InnoDB Barracuda page compression and MyISAM packing. With this second part, I’ll discuss a newer compression option, InnoDB transparent page compression with punch holes available since 5.7. […]
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Very often, database performance is affected by the inability to cache all the required data in memory. Disk IO, even when using the fastest devices, takes much more time than a memory access. With MySQL/InnoDB, the main memory cache is the InnoDB buffer pool. There are many strategies we can try to fit as […]
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Please join Percona’s Chief Evangelist, Colin Charles on Tuesday, June 26th, 2018, as he presents MariaDB Server 10.3 at 7:00 AM PDT (UTC-7) / 10:00 AM EDT (UTC-4).
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MariaDB Server 10.3 is out. It has some interesting features around system versioned tables, Oracle compatibility, column compression, an integrated SPIDER engine, as well as MyRocks. […]
In this blog post, we’ll look at some of the facets of InnoDB page compression.
Somebody recently asked me about the best way to handle JSON data compression in MySQL. I took a quick look at InnoDB page compression and wanted to share my findings.
There is also some great material on this topic that was prepared and […]
Being schemaless is one of the key features of MongoDB. On the bright side this allows developers to easily modify the schema of their collections without waiting for the database to be ready to accept a new schema. However schemaless is not free and one of the drawbacks is write amplification. Let’s focus on […]
Read moreMongoDB includes several powerful features like high availability, read scaling, and horizontal scalability in an easy-to-use, schema-free database platform. But, what if you could retain those properties, improve performance, and ensure scalability without specialized tuning just by replacing the storage stack?
SPEAKER: Jon Tobin, Lead Sales Engineer at Tokutek
DATE: Thursday, October 9th
TIME: 1pm ET
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Join Jon Tobin as he […]
Getting ready for tomorrow’s MongoDB Boston conference (come say hi if you see us!), I’m spending some time thinking about a post last week by Bryce Nyeggen: The Genius and Folly of MongoDB. It hits home in a lot of ways for me and the whole TokuMX team, because it mimics exactly the impetus […]
Read moreA common MongoDB tip is to create short field names to save storage space. Because MongoDB does not compress its data on disk and stores field names in each document, using longer field names leads to bigger documents which leads to more storage space usage. The downside here is developers find short field names […]
Read moreIn my last post, I showed what a Fractal Tree® index is at a high level. Once again, the Fractal Tree index is the data structure inside TokuMX and TokuDB, our MongoDB and MySQL products. One of its strengths is the ability to get high levels of compression on the stored data. In this […]
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