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Displaying posts with tag: MySQL (reset)
Machine Learning with MySQL HeatWave and predictions in Grafana

In MySQL HeatWave, the Database as a Service (DBaaS) offered by Oracle, Machine Learning is incorporated to provide database administrators (DBAs) and developers with an optimal experience.

Those tools are the Auto ML advisors like the autopilot indexing for example.

MySQL HeatWave is also an invaluable asset for Data Analysts, offering straightforward tools that streamline the process of creating predictive models through data training and scoring.

The Data

The data we are using is the Bank Marketing data related to marketing campaigns over phone calls of a Portuguese banking …

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Making my MySQL InnoDB Cluster safe from naughtiness

TL;DR: Make sure to run “SET persist_only disabled_storage_engines=’MyISAM’, persist sql_generate_invisible_primary_key=ON;” on all instances and restart each one in your MySQL InnoDB Cluster.

Ok, what does “safe from naughtiness” mean?:
– Anyone creating tables that aren’t InnoDB, as this doesn’t make sense, after all, it is an “InnoDB” cluster.
– Making sure all tables have a Primary Key (invisible or not).
– Making sure that my (invisible) primary keys are visible to the cluster as it will rightfully complain if they aren’t!

This basically means that once you’ve got it all up and running you won’t run into those horrible situations whereby someone, somewhere, creates a MyISAM table that didn’t have a Primary Key and thus leave you with a broken cluster.

Eg.

MySQL rtnode-01:3306 ssl JS > vlc.status()
{
 "clusterName": "VLC",
 "clusterRole": "PRIMARY", …
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Using Oracle Analytics Cloud with MySQL HeatWave

MySQL HeatWave is the MySQL DBaaS provided by Oracle in OCI and some other clouds. Compared to the vanilla MySQL, one of the key features of the service is that it allows you to run analytics queries (aka OLAP) very quickly using the HeatWave cluster. You can also run such queries on files using LakeHouse.

When we talk about analytics, we also think about data visualization solutions. In OCI, you can use Oracle Analytics Cloud.

In this article, we explore the procedure to establish a connection between Oracle Analytics Cloud (OAC) and a MySQL HeatWave DB instance within Oracle Cloud Infrastructure (OCI).

Deploying OAC

We consider that you already have a DB System up and running in OCI. The first step is then to deploy an Analytics …

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Can We Set up a Replicate Filter Within the Percona XtraDB Cluster?

If you were to ask me the question, “Would it be possible to set up a replicate filter within the Percona XtraDB Cluster?” my immediate response would be to question you right back. Why would you even want the cluster nodes to have different data when you’re using a synchronous replication cluster? That’s because, instinctively, […]

Observing InnoDB Cluster: A different approach for specific info extraction

Now this is far from being any observability manual for your InnoDB Cluster and let alone go into everything MySQL Shell API Admin, or the collectDiagnostics utility. You can also use the default javascript commands that we all know and love via dba.getCluster() and so on, but here’s a different take.

I just want to share something I’ve been playing with to pull out some key info from mycluster. Hope it helps someone else out there.

General setup:

select cluster_id, cluster_name, description, cluster_type, primary_mode, clusterset_id
from mysql_innodb_cluster_metadata.clusters;

Members of our cluster:

select * from …
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Seamless Table Modifications: Leveraging pt-online-schema-change for Online Alterations

Table modifications are a routine task for database administrators. The blog post Using Percona Toolkit to Alter Database Tables Online: A Controlled Approach provides insights into the process of altering tables online in a controlled manner, ensuring uninterrupted access for application users and preventing application downtime. We will focus here on utilizing the powerful “pt-online-schema-change” […]

Securing Your MySQL Database: Essential Best Practices

Have you ever read a news story about a major company experiencing a data breach that exposed millions of customer records? These breaches can be devastating, causing significant financial losses, reputational damage, and even legal repercussions. Unfortunately, MySQL databases, one of the most popular relational database management systems, is at the heart of many critical […]

MySQL 8.4 First Peek

MySQL 8.4 has now been officially released, and this is a quick review of what is in the release notes. This is momentous as it is designated a Long-Term Support (LTS) release. Various 8.0 releases introduced material changes that impacted speed and stability, causing hair-pulling and swearing among those affected. Please note this is a […]

MySQL 8.4 LTS – new production-ready defaults for InnoDB

Yesterday, MySQL 8.4, the very first LTS version of MySQL was released.

A lot of deprecations have finally been removed, and several InnoDB variable default values have been modified to match current workloads and hardware specifications.

The default value of 20 InnoDB variables has been modified!

Let’s have a look at those variables and explain the reason for such modification:

innodb_buffer_pool_in_core_file

Previous Value: ON
New Value (8.4 LTS): OFF if MADV_DONTDUMP is supported
else ON

MADV_DONTDUMP is a macro supported in Linux 3.4 and later, (“sys/mman.h” header file is present and contains the symbol MADV_DONTDUMP, a …

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Consistent Lookup Vindex: Achieving Data Consistency without 2PC

Vindex # Vitess uses Vindexes (short for Vitess Index) to associate rows in a table with a designated address known as Keyspace ID. This allows Vitess to direct a row to its intended destination, typically a shard within the cluster. Vindexes play a dual role: enabling data sharding through Primary Vindexes and facilitating global indexing via Secondary Vindexes. Through this mechanism, Vindexes serve as an indispensable tool for routing queries in a sharded database, ensuring optimal performance and scalability.

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