WHM and cPanel is no doubt the most popular hosting control panel for Linux based environments. It supports a number of database backends - MySQL, MariaDB and PostgreSQL as the application datastore. WHM only supports standalone database setups and you can either have it deployed locally (default configuration) or remotely, by integrating with an external database server. The latter would be better if you want to have better load distribution, as WHM/cPanel handles a number of processes and applications like HTTP(S), FTP, DNS, MySQL and such.

In this blog post, we are going to show you how to integrate an external MySQL replication setup into WHM seamlessly, to improve the database availability and offload the WHM/cPanel hosting server. Hosting providers who run MySQL locally on the WHM server would know how demanding MySQL is in terms of resource utilization (depending on the number of accounts it hosts and the server specs).

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During our work in support, we see this again and again: “I try to connect to MySQL and am getting a 1045 error”, and most times it comes accompanied with “…but I am sure my user and password are OK”.  So we decided it was worth showing other reasons this error may occur.

MySQL 1045 error Access Denied triggers in the following cases: 1) Connecting to wrong host:

[engineer@percona]# mysql -u root -psekret
mysql: [Warning] Using a password on the command line interface can be insecure. 
ERROR 1045 (28000): Access denied for user 'root'@'localhost' (using password: YES)

If not specifying the host to connect (with -h flag), MySQL client will try to connect to the localhost instance while you may be trying to connect to another host/port instance.

Fix: Double check if you are trying to connect to localhost, or be sure to specify host and port if it’s not localhost:

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SQL Except Clause Example | Except Statement In SQL is today’s topic. The SQL EXCEPT operator is used to combine two select statements, which in turn returns the row that is present in the first select statement and not in the second select statement. This Clause acts like a subtract operation that we perform in sets and Venn diagrams.

SQL Except Clause Example

In SQL, EXCEPT returns those tuples that are returned by the first SELECT operation, and not returned by the second SELECT operation.

#Pictorial Representation

It is July now, and summer is upon us. The team at Codership are busy making Galera Cluster 4 for MySQL, and we are just hot of the heels of celebrating the launch of Galera Cluster 4 with MariaDB Server 10.4. 

At the end of May, Galera Cluster had a booth and several talks at Percona Live Austin. This was the first time the event happened there, and we thoroughly enjoyed it. The key takeaway from that event would be Seppo Jaakola’s talk titled: Galera Cluster New Features. It covered the then upcoming MariaDB Server 10.4 release with Galera Cluster 4, went in-depth into how streaming replication works …

Thật tuyệt vời khi các ứng dụng có sử dụng cơ sở dữ liệu trên hệ thống internet có sự hỗ trợ đặc lực của một hệ thống quản trị miễn phí như MySQL. MySQL được biết đến với tốc độ khá cao, ổn định và rất dễ sử dụng. Đặc biệt nó có thể hoạt động trên tất cả các hệ điều hành. Tại sao MySQL có sự cuốn hút kì diệu đến vậy? Bài viết dưới đây sẽ cho bạn một cái nhìn tổng quan về hệ quản trị cơ sở dữ liệu MySQL. Bài viết được tham khảo từ nguồn SQLadvice, nếu bạn muốn tìm hiểu thêm thì có thể truy cập vào website sqladvice.com để tham khảo, chia sẻ với cộng đồng.

Hệ quản trị cơ sở dữ liệu MySQL là gì? mySQL là một hệ quản trị cơ sở dữ liệu mã nguồn mở …

The Question Recently, a customer asked us:

After importing a new section of user data into our Tungsten cluster, we are seeing perpetually rising replication lag. We are sitting at 8.5hrs estimated convergence time after importing around 50 million rows and this lag is climbing continuously. We are currently migrating some of our users from a NoSQL database into our Tungsten cluster. We have a procedure to write out a bunch of CSV files after translating our old data into columns and then we recursively send them to the write master using the mysql client. Specifically our import SQL is doing LOAD DATA LOCAL INFILE and the reading in a large CSV file to do the import. We have 20k records per CSV file and we have 12 workers which insert them in parallel.

Simple Overview The Skinny

In cases like this, the slaves are having trouble with the database unable to keep up with the apply stage …

This tutorial is showing how manual fix of GTID inconsistency but it can be VERY RISKY to mess up the InnoDB Cluster.   It purely serves as a tutorial how to troubleshoot and identify potential issues.

Environment
MySQL InnoDB Cluster being setup on Single Machine with 3 Nodes
Node 1 : Port 3306
Node 2 : Port 3316
Node 3 : Port 3326





The InnoDB Cluster Member Status is as follows





Retrieving the GTID executed on each member "SELECT @@gtid_executed;"






The 3 sets of GTIDs are the same and the InnoDB Cluster of 3 nodes is running properly.

Let to simulate a breakdown of Server (Kill the Instance with PORT 3326)
1.  Change the persisted variables group_replication_start_on_boot = off first
  …

Most databases grow in size over time. The growth is not always fast enough to impact the performance of the database, but there are definitely cases where that happens. When it does, we often wonder what could be done to reduce that impact and how can we ensure smooth database operations when dealing with data on a large scale.

First of all, let’s try to define what does a “large data volume” mean? For MySQL or MariaDB it is uncompressed InnoDB. InnoDB works in a way that it strongly benefits from available memory - mainly the InnoDB buffer pool. As long as the data fits there, disk access is minimized to handling writes only - reads are served out of the memory. What happens when the data outgrows memory? More and more data has to be …

Last year, we asked you a few questions in a blog poll and we received a great amount of feedback. This year, we wanted to follow up on those same survey questions to see what may have changed over the last 12 months. So with that in mind, we’re hoping you can take a minute or so to answer the first survey question in this series: What Keeps You Up At Night? Is it fixing emergencies? Bad queries? Cost concerns? Inquiring minds want to know!

Note: There is a poll embedded within this post, please visit the site to participate in this post's poll.

This poll question will be up for one month and will be maintained over in the sidebar should you wish to come back at a later date and take part. We look forward to seeing your responses!

I think it is often confusing to compare upstream MySQL and Percona Server for MySQL, and some helpful information can be found in the introductory notes. But what does that really mean for an ordinary DBA, especially if none of the known big extra features are important in a particular use case?

In this article, I would like to start a series of short blog posts highlighting small, often less known, but potentially useful features, available in Percona Server for MySQL. Let’s start with a relatively new feature.

Limit the disk space used by binary logs problem

Historically, dealing with binary logs and the disk space used by them was quite challenging. The only thing that let you control this is the …