This ProxySQL post is sourced from an error I faced recently ProxySQL has become one of the popular choice as the “proxy” for MySQL databases. This post is tipping you…
The post Can not connect to ProxySQL: reasons and fixtures first appeared on Change Is Inevitable.
Welcome to this week’s OpenLampTech newsletter. I have many great articles curated for you this week. Thank you for reading and please share the publication with others.
The Newsletter for PHP and MySQL Developers
Receive a copy of my ebook, “10 MySQL Tips For Everyone”, absolutely free when you subscribe to the OpenLampTech newsletter.
In OpenLampTech issue #47, we are looking at articles covering:
Want to support the OpenLampTech publication? Easy enough.
Head on over to …
[Read more]
Statement Digest in MySQL
https://dev.mysql.com/doc/refman/8.0/en/performance-schema-statement-digests.html
The parser is also used by the STATEMENT_DIGEST_TEXT() and STATEMENT_DIGEST() functions,
which applications can call to compute a normalized statement
digest and a digest hash value, respectively, from an SQL
statement.
events_statement_summary_by_digest in Performance Schema contains information
…
[Read more][…] the VPC and I would like to connect to it using MySQL workbench. I have followed the steps detailed here, however in “Step 6: Setting up remote SSH Configuration”, it asks me to “Provide […]
in this tutorial, We’ll Learn how to fix MySQL ERROR 2002 Can’t connect to local MySQL server through socket ‘/tmp/mysql.sock. Normally, This issue will occur when you connect the MySQL server through the command line, you might encounter a MySQL ERROR 2002 as follows: mysql -uroot -proot ERROR 2002 (HY000): Can’t connect to local MySQL […]
The post ERROR 2002 : Can’t connect to MySQL server through socket appeared first on Phpflow.com.
MySQL Document Store is a JSON document storage solution built on top of MySQL. One feature of MySQL Document Store that can help speed up searches is the ability to create indexes of data contained within our JSON documents. In this post, we will demonstrate creating an index and look at the changes made to our collection after we create the index.
Relational databases, such as MySQL, give you the ability to organize data into separate tables, but link the tables together to form relationships when necessary. MySQL joins give you the ability to link data together in a MySQL database. A join is a way to get columns from more than one table into a single set of results. This is usually much more efficient than trying to perform multiple queries and combining them later. This article looks at the different types of joins that can be performed in MySQL and goes over the different options you have to combine data from multiple tables: inner joins, left and right joins, and full outer joins. A base example of MySQL joins To further our understanding of joins, we’ll create a simple database of grocery items, each item having a category. Categories are stored in the categories table and items are stored in a separate items table.CREATE TABLE categories ( id int PRIMARY KEY AUTO_INCREMENT, name …
[Read more]Learn how and when to use inner joins outer joins left joins and right joins.
Learn how and when to use inner joins outer joins left joins and right joins.
Let’s continue our journey of deploying the MySQL Database System
on OCI with Terraform.
This time we will see how we can use a backup (see [1] and [2]) as a source (initial data) for a new
instance.
Within the oci_mysql_mysql_db_system it’s possible
to define a source detailing how to provision the initial
data of the db system.
Let’s deploy a new MySQL Database Instance using a manual backup we made earlier:
We can also find the backup’s ocid using the oci cli
command:
$ oci mysql backup list …