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Displaying posts with tag: MySQL (reset)
MySQL 8 Resource Group – introduction and dynamic allocation

Introduction to resource groups in MySQL 8 and dynamical allocation to threads

The post MySQL 8 Resource Group – introduction and dynamic allocation first appeared on Change Is Inevitable.

JSON Paths and the MySQL JSON Functions

I wrote MySQL and JSON: A Practical Programming Guide to help developers find their way around the MySQL JSON data type and the supporting functions. The MySQL Documentation on the subject is very good but I had to puzzle through the examples to see how things worked.  I might be a bit 'thick' but good examples always make things easier.  Others seem to have similar difficulties.

MySQL and JSON a Practical Programming Guide should be on your desk as a handy reference to MySQL's JSON data type.


 There was a recent post on …

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MySQL Plugin For Oracle Enterprise Manager 13c Cloud Control

This is the same plugin that Alex Gorvachev created back in the day. I’ve simply modified it to be compatible with both 12c and 13c versions.

I created this in response to a comment on the blog about issues deploying the plugin in OEM 13c. There is also a note in MOS “EM 13c: Adding a MySQL Instance in Enterprise Manager 13c Fails with Error: oracle.sysman.emSDK.agent.client.exception.NoSuchMetricException: the Load metric does not exist (Doc ID 2160785.1)“.

This version has been tested with OEM 13cR2 and OEM 12cR3, so it should be working in all the versions in between except for bugs.

Caveats

During the …

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Loading Unknown CSV Data into a Table Easily

Peter Zaitsev of Percona posted a Tweet about an interactive book Select Star SQL which 'aims to be the best place on the internet for learning SQL'.  This interactive book uses a data set that can be downloaded or you could work the queries online.  I showed the website to a neighbor who was asking 'what is the best way to learn SQL'.   The neighbor wanted their own copy of the data and asked how do you turn a raw CSV file into a table.

Well, that can get complicated.
CSV
CSV files use commas to designate each field in the file.  This is a great idea until someone plants a comma in the middle of a field but it is sort of a least common denominator way of passing data between systems.

But a CSV file does not directly fit into a relational table.  You could …

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Percona Monitoring and Management (PMM) 1.14.0 Is Now Available

Percona Monitoring and Management (PMM) is a free and open-source platform for managing and monitoring MySQL® and MongoDB® performance. You can run PMM in your own environment for maximum security and reliability. It provides thorough time-based analysis for MySQL® and MongoDB® servers to ensure that your data works as efficiently as possible.



We’ve included a plethora of visual improvements in this release, including:

  • PostgreSQL Metrics Collection – Visualize PostgreSQL performance!
  • Identify New Queries in Query Analytics
  • New Dashboard: Compare System Parameters
  • New Dashboard: PERFORMANCE_SCHEMA Wait Events Analysis
  • Dashboard Updates – Advanced Data Exploration, MyRocks, TokuDB, InnoDB Metrics …
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Modifying List of Collected Metrics on PMM Linux Exporter

Do you need to modify the metrics collected from Linux by Percona Monitoring and Management (PMM)? In this blog post we will see how to enable, disable, and update collected metrics on PMM’s linux:metrics exporter. 

We will assume that the PMM client packages are installed, and they are configured already.

Using a custom list of metrics

Let’s now suppose we are not yet collecting any metrics on our desired client server, and we want to enable only the following: diskstats, meminfo, netdev and vmstat. We can use the following …

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Upcoming Webinar Thurs 9/6: Running MySQL in Kubernetes

Please join Percona’s Chief Technology Officer, Vadim Tkachenko, as he presents Running MySQL in Kubernetes on Thursday, September 6th, 2018, at 11:00 AM PDT (UTC-7) / 2:00 PM EDT (UTC-4).

Register Now

 

Without question, Kubernetes is the most popular container orchestration platform. But can it handle databases? I think so, and in this webinar, I will show you how it does it. This talk presents a quick overview of the persistent storage options (the most critical part of data storage) and then what it takes to run highly available MySQL …

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Monitoring S.M.A.R.T. Metrics with Prometheus and PMM

In his excellent blog post, Pavel Trukhanov showed the value of S.M.A.R.T. metric collections, so I wondered how hard would it be to enable their collection in Percona Monitoring and Management (PMM)

A quick search led me to the  text_collector plugin SmartMon, which can be easily integrated with any Prometheus Installation

For PMM, Vadim Yalovets recently showed how to do …

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MySQL Connector/Python 2.1.8 has been released

Dear MySQL users,

MySQL Connector/Python 2.1.8 GA is a sixth GA version of 2.1 release
series of the pure Python database driver for MySQL. It can be used for
production environments.

MySQL Connector/Python version 2.1.8 GA is compatible with MySQL Server
versions 5.5 and greater. Python 2.6 and greater as well as Python 3.4
and greater are supported. Python 2.4, 2.5, and 3.1, 3.2, 3.3 are not
supported.

MySQL Connector/Python 2.1.8 is available for download from:

http://dev.mysql.com/downloads/connector/python/#downloads

MySQL Connector/Python 2.1.8 (Commercial) will be available for download
on the My Oracle Support (MOS) website. This release will be available
on eDelivery (OSDC) in next month’s upload cycle.

The ChangeLog file included in the …

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40 million tables in MySQL 8.0 with ZFS

In my previous blog post about millions of table in MySQL 8, I was able to create one million tables and test the performance of it. My next challenge is to create 40 million tables in MySQL 8 using shared tablespaces (one tablespace per schema). In this blog post I’m showing how to do it and what challenges we can expect.

Background

Once again – why do we need so many tables in MySQL, what is the use case? The main reason is: customer isolation. With the new focus on security and privacy (take GDPR for example) it is much easier and more beneficial to create a separate schema (or “database” in MySQL terms) for each customer. That creates a new set of challenges that we will need to solve. Here is the summary:

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