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Displaying posts with tag: Amazon Aurora (reset)
Replication performance and efficiency: MySQL 5.7 MTS vs Amazon Aurora

MySQL replication performance is a topic that requires no special introduction. Replication was never designed to be extremely fast and there isn't a single MySQL DBA who wouldn't learn it the hard way.
Today, with the improvements introduced in MySQL 5.7, as well as a complete re-implementation done by Amazon Aurora, it seems like we can finally see the light at the end of this very long tunnel.
Let's take both products for a spin and see how they behave. Introduction Before we get busy with the benchmarks, let's quickly explain why MySQL 5.7 and Amazon Aurora are so special. I wouldn't spend a weekend testing them if they weren't, right? MySQL MySQL 5.7 finally uses multi-threaded slave (MTS) implementation that makes sense. Long story short: instead of doing poor man's multithreading that requires you to split your data into multiple schemas (and doesn't guarantee consistency for cross-schema modifications), it can simply replay …

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Amazon EBS volume lazy loading: how it influences MySQL recovery performance

Amazon EBS volumes come with a very cool feature called "lazy loading". In a nutshell: if a volume is created from an existing snapshot, it can become available almost immediately without waiting for all data to be restored. This allows for extremely fast provisioning of large data sets as long as you don't explicitly require the entire data set to be present before you start using it.
When an EBS volume is restored from snapshot, its blocks are fetched from Amazon S3. It happens either lazily in the background or explicitly on demand (think of a pagefault-like mechanism) and of course, fetching pieces of data from Amazon S3 is going to be one-two orders of magnitude slower than reading blocks directly from a volume.
In this short article, I will try to give you an idea of how this may impact the crash recovery time of your MySQL databases. Why talk about this? Depending on the workload and data set layout, crash recovery of a MySQL …

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MariaDB Connector/J failover support – case Amazon Aurora

MariaDB Connector/J has evolved a lot during the year. In this post I will talk about the failover capabilities in the connector and give some guidance on how to use them in some certain cases. One other important new feature that I’ll cover in a later article is the fact that MariaDB Connector/J can do […]

The post MariaDB Connector/J failover support – case Amazon Aurora appeared first on MariaDB.org.

AWS CloudFormation Now Supports Aurora, Amazon’s MySQL Compatible Database

AWS CloudFormation now supports Amazon Aurora!

Announcement: https://forums.aws.amazon.com/ann.jspa?annID=3286

Documentation:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-rds-dbcluster.html

Amazon Aurora is a MySQL-compatible, relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. https://aws.amazon.com/rds/aurora/

AWS CloudFormation gives developers and systems administrators an easy way to create and manage a collection of related AWS resources, provisioning and updating them in an orderly and …

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