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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).

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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).

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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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How to use mysqlpump for faster MySQL logical backup ?

MySQL 5.7.8 introduced much improved version of mysqldump, It’s called “mysqlpump”, mysqlpump is much faster than mysqldump with parallel threads capabilities, There are many other compelling reasons for choosing mysqlpump over mysqldump, This blog is about how mysqlpump can be used for good. mysqlpump is relatively a new utility of MySQL and we are confident that Oracle MySQL will invest more to make mysqlpump efficient, we haven’t recommended mysqlpump in production for any of our customers till date, considering several concerns. The following below are mysqlpump features we are really excited about:

  • Supports parallel MySQL logical backup, The resource usage efficiency and high performance backups (we love it !)
  • Much better orchestration possible – You can backup selected databases, tables, stored programs and user accounts etc.
  • By default mysqlpump will not backup performance_schema, sys schema, …
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MonoDB versus MySQL Document Store Command Comparisons II

Last time I was stumped by the MongoDB $gt: operator.  I wanted to look for restaurants in a certain Manhattan burough OR in a zipcode greater than a certain zipcode.  Well, I was getting different results between Mongo and MySQL.

To > or Not To >, That Is the Query
Lets say we have three records with the same key but the values are 1, 2, and "3". Yup, you got it two numerics and one string.  I would expect schema less data to be free flowing, not typed, and pretty much a free for all.  Whoops. Bad assumption on my part for Mongo use.

I added three JSON documents into Mongo as can be seen below:

Our three documents with the values of 1, 2, & …
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