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Displaying posts with tag: database (reset)
About Continuous MySQL & MariaDB Database Operations & More at Percona Live Austin This Month!

So, typically, a Percona Live (or MySQL User) Conference blog would start off with some mention of the fact that it’s great to be meeting up again in Santa Clara, California, the birthplace of the MySQL User Conference, and a continuous fixture on the yearly MySQL community agenda.

But no, not this time!

On this occasion, the Percona Live Conference blog starts off by pointing out that for the first time since its inception (as far as I can recollect), the MySQL User Conference, i.e. Percona Live Conference (in North America) doesn’t take place in Santa Clara, but rather in Austin, Texas.

Never having been to Texas before myself, I’m looking forward to that innovation, discovering the new surroundings and seeing whether that changes anything or not to the familiar “feel” of a Percona Live / MySQL User Conference.

By the way, there’s still time to …

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MySQL Tutorial – Managing MySQL Server Logs: Rotate, Compress, Retain & Delete

MySQL Server generates several logs that can help you monitor the activities of the server. However, once these logs are enabled, they can grow in size and start taking up too much disk space. This is why it’s important to have an automated way of archiving and preserving MySQL log files for a certain duration, as well as deleting the old ones. In this blog post, we describe some best practices for setting up and managing MySQL error logs, general logs and slow query logs for your MySQL deployments.

Setting Up MySQL Server Logging

Let’s look at how to setup the following 3 types of logs:

Error Log

Logs all the problems encountered during starting, running, or stopping mysqld. This log can be enabled by having the following option in /etc/my.cnf file:

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Avoiding Double Payments in a Distributed Payments System

How we built a generic idempotency framework to achieve eventual consistency and correctness across our payments micro-service architecture.

Authors: Jon Chew and Ninad Khisti

One of the conference rooms in our San Francisco officeBackground

Airbnb has been migrating its infrastructure to a Service Oriented Architecture (“SOA”). SOA offers many upsides, such as enabling developer specialization and the ability to iterate faster. However, it also poses challenges for billing and payments applications because it makes it more difficult to maintain data integrity. An API call to a service that makes further API calls to downstream services, where each service …

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MySQL High Availability Framework Explained – Part III: Failure Scenarios

In this three-part blog series, we introduced a High Availability (HA) Framework for MySQL hosting in Part I, and discussed the details of MySQL semisynchronous replication in Part II. Now in Part III, we review how the framework handles some of the important MySQL failure scenarios and recovers to ensure high availability.

MySQL Failure Scenarios Scenario 1 – Master MySQL Goes Down

  • The Corosync and Pacemaker framework detects that the master MySQL is no longer available. Pacemaker demotes the master resource and tries …
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How to implement a database job queue using SKIP LOCKED

Introduction In this article, we are going to see how we can implement a database job queue using SKIP LOCKED. I decided to write this article while answering this Stack Overflow question asked by Rafael Winterhalter. Since SKIP LOCKED is a lesser-known SQL feature, it’s a good opportunity to show you how to use it and why you should employ it, especially when implementing a job queue task. Domain Model Let’s assume we have the following Post entity which has a status Enum property looking as follows: The PostStatus Enum encapsulates the... Read More

The post How to implement a database job queue using SKIP LOCKED appeared first on Vlad Mihalcea.

Session Management in Nodejs Using Redis as Session Store

We have covered session management in ExpressJs using global variable technique which of course will not work in case of shared server or concurrent execution of http requests which is most familiar production scenario.

Codeforgeek readers requested to provide solution for these issue and the optimal one is to use external session storage which is not dependent on application requests, answer is Redis cause this is the light weight and easy to use NoSQL database.

In this tutorial i am going to explain how to design and code session oriented express web applications by using Redis as external session storage.

DOWNLOAD

To get familiar with Session handling in ExpressJS I recommend to read our first article …

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How does a relational database execute SQL statements and prepared statements

Introduction In this article, we are going to see how a relational database executes SQL statements and prepared statements. SQL statement lifecycle The main database modules responsible for processing a SQL statement are: the Parser, the Optimizer, the Executor. A SQL statement execution looks like in the following diagram. Parser The Parser checks the SQL statement and ensures its validity. The statements are verified both syntactically (the statement keywords must be properly spelled and following the SQL language guidelines) and semantically (the referenced tables and column do exist in the database). During... Read More

The post How does a relational database execute SQL statements and prepared statements appeared first on …

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dbdeployer cookbook - Advanced techniques

In the previous post about the dbdeployer recipes we saw the basics of using the cookbook command and the simpler tutorials that the recipes offer.

Here we will see some more advanced techniques, and more demanding examples.


We saw that the recipe for a single deployment would get a NOTFOUND when no versions were available, or the highest MySQL version when one was found.

$ dbdeployer cookbook  show single | grep version=
version=$1
[ -z "$version" ] && version=8.0.16

But what if we want the latest Percona Server or MariaDB for this recipe? One solution …

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dbdeployer cookbook - usability by example

When I designed dbdeployer, I wanted to eliminate most of the issues that the old MySQL-Sandbox had:

  • dependencies during installation
  • mistaken tarballs
  • clarity of syntax
  • features (un)awareness.



Dependencies during installation did go away right from the start, as the dbdeployer executable is ready to be used without additional components. The only dependency is to have a host that can run MySQL. There is little dbdeployer can do about detecting whether or not your system can run MySQL. It depends on which version and flavor of MySQL you are running. It should not be a big deal as I assume that anyone in need of dbdeployer has already the necessary knowledge about MySQL …

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dbdeployer community: Part 3 - MySQL Cluster (NDB)

I remember wanting to create MySQL Cluster sandboxes several years ago. By then, however, MySQL-Sandbox technology was not flexible enough to allow an easy inclusion, and the cluster software itself was not as easy to install as it is today. Thus, I kept postponing the implementation, until I started working with dbdeployer.

I included the skeleton of support for MySQL Cluster since the beginning (by keeping a range of ports dedicated for this technology, but I didn’t do anything until June 2018, when I made public my intentions to add support for NDB in dbdeployer with issue #20 (Add support for MySQL Cluster)). The issue had just a bare idea, but I needed help from someone, as my expertise with …

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