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Chunk Change: InnoDB Buffer Pool Resizing

Since MySQL 5.7.5, we have been able to resize dynamically the InnoDB Buffer Pool. This new feature also introduced a new variable — innodb_buffer_pool_chunk_size — which defines the chunk size by which the buffer pool is enlarged or reduced. This variable is not dynamic and if it is incorrectly configured, could lead to undesired situations.

Let’s see first how innodb_buffer_pool_size , innodb_buffer_pool_instances  and innodb_buffer_pool_chunk_size interact:

The buffer pool can hold several instances and each instance is divided into chunks. There is some information that we need to take into account: the number of instances can go from 1 to 64 and the total amount of chunks should not exceed 1000.

So, for a server with 3GB RAM, a buffer pool of 2GB with 8 instances and chunks at default value (128MB) we are going to get 2 chunks per instance:

This means that there will be 16 chunks.

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Using MySQL Shell 8.0.11 “upgrade checker” to upgrade from MySQL 5.7 to MySQL 8.0 successfully

We are really excited about MySQL 8.0 new features (https://dev.mysql.com/doc/refman/8.0/en/mysql-nutshell.html) and our consultants spend several hours weekly, testing new features and doing research on how best we can create value for our customers from having those in production. Being an pure-play MySQL consulting, support and remote DBA services company, We are fully accountable for our customer database infrastructure operations performance, scalability, high availability and reliability.  As we are aggressive about gaining maximum results from MySQL 8 investments made by our customers, We are equally conservative (our customer data reliability is critical for us !)  on adopting new features, until we are fully confident after several rounds of testing (at different scales on multiple platforms) and technical review (we engage both internal and …

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Webinar Weds 20/6: Percona XtraDB Cluster 5.7 Tutorial Part 2

Including setting up Percona XtraDB Cluster with ProxySQL and PMM

Please join Percona’s Architect, Tibi Köröcz as he presents Percona XtraDB Cluster 5.7 Tutorial Part 2 on Wednesday, June 20th, 2018, at 7:00 am PDT (UTC-7) / 10:00 am EDT (UTC-4).

Register Now

 

Never used Percona XtraDB Cluster before? This is the webinar for you! In this 45-minute webinar, we will introduce you to a fully functional Percona XtraDB Cluster.

This webinar will show you how to install Percona XtraDB Cluster with ProxySQL, and …

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Top 10 reasons for NoSQL with MySQL

As you know, one of the great new feature in MySQL 8.0 is the Document Store. Now with MySQL you can store your JSON documents in collections and manage them using CRUD operations. NoSQL is now part of MySQL ! Instead of a mix of MongoDB and MySQL, now you can eliminate MongoDB and consolidate with MySQL !

This is a historical meeting of NoSQL and SQL in the same database server!

To use MySQL 8.0 as Document Store, you need to have the X plugin installed (by default since 8.0.11). This plugin enables the X DevAPI that offers a modern programming interface. Clients that communicate with a …

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MariaDB 10.1.34 and latest MariaDB Connectors now available

The MariaDB Foundation is pleased to announce the availability of MariaDB 10.1.34, the latest stable release in the MariaDB 10.1 series, as well as MariaDB Connector/C 3.0.5, MariaDB Connector/C 2.3.6, MariaDB Connector/J 2.2.5, MariaDB Connector/J 1.7.4, MariaDB Connector/ODBC 3.0.5 and MariaDB Connector/ODBC 2.0.17, the latest stable MariaDB Connector releases. See the release notes and changelogs […]

The post MariaDB 10.1.34 and latest MariaDB Connectors now available appeared first on MariaDB.org.

Webinar Tues 19/6: MySQL: Scaling and High Availability – Production Experience from the Last Decade(s)


Please join Percona’s CEO, Peter Zaitsev as he presents MySQL: Scaling and High Availability – Production Experience Over the Last Decade(s) on Tuesday, June 19th, 2018 at 7:00 AM PDT (UTC-7) / 10:00 AM EDT (UTC-4).

Register Now

 

Percona is known as the MySQL performance experts. With over 4,000 customers, we’ve studied, mastered and executed many different ways of scaling applications. Percona can help ensure your application is highly available. Come learn from our playbook, and leave this …

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MySQL 8.0: New Lock free, scalable WAL design

The Write Ahead Log (WAL) is one of the most important components of a database. All the changes to data files are logged in the WAL (called the redo log in InnoDB). This allows to postpone the moment when the modified pages are flushed to disk, still protecting from data losses.…

Setting up NDB cluster connection pooling with MySQL Cluster Manager

Cluster connection pooling
The new MySQL Cluster 7.6 GA supports NDB connection pooling – using multiple NDBAPI connections from a single mysqld to NDB – to allow increased concurrency and throughput.

Cluster connection pooling has been supported in MySQL Cluster for quite a while.

PXC loves firewalls (and System Admins loves iptables)

 

 

Let them stay together. In the last YEARS, I have seen quite often that users, when installing a product such as PXC, instead of spending five minutes to understand what to do just run iptables -F and save. In short, they remove any rules for their firewall.

With this post, I want to show you how easy it can be to do the right thing instead of putting your server at risk. I'll show you how a slightly more complex setup like PXC (compared to MySQL), can be easily achieved without risky shortcuts. iptables is the utility used to manage the chains of rules used by the Linux kernel firewall, which is your basic security tool. Linux comes with a wonderful firewall built into the kernel.

As an administrator, you can configure this firewall with interfaces like ipchains — which we are not going to cover — and iptables, which we shall talk about. iptables is stateful, which means that the firewall can …

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MongoDB versus MySQL Document Store Command Comparisons III

This time we will look at the differences in updating records between MongoDB and the MySQL Document Store.  Syntactically they are pretty different.  I am still following the Getting Started With MongoDB article for example queries.

Updating Records
In Mongo we update thusly:
> db.restaurants.update(
... { "name" : "Juni" },
... {
...  $set: { "cuisine" : "American (new)" },
...  $currentDate: { "lastModified" : true }
... }
... )
WriteResult({ "nMatched" : 1, "nUpserted" : 0, "nModified" : 1 })
>


The same update in the MySQL Document Store can be a lot different.  We could update using SQL or NoSQL.  I would like to update the document with the change to the cuisine and …

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