- Read Replicas with Load Balancer
- Replication Filters
- Replication Sources Without GTIDs
- MySQL HeatWave for AWS

This presentation is just a summary of new features in MySQL HeatWave.

For a more thorough and exhaustive view please read the following:

- https://docs.oracle.com/en-us/iaas/releasenotes/services/mysql-database/

- https://dev.mysql.com/doc/relnotes/heatwave/en/

The post MySQL HeatWave Report – December 2022 update first appeared on dasini.net - Diary of a MySQL expert.

Recently, while doing a test process to examine resource usage and the time required to alter the table using pt-osc, it leads to a loss of triggers even though the –preserve-triggers option is specified. I made the decision to recreate the identical circumstance so that everyone could see it.

Test environment : 

OS: Amazon Linux 2

MySQL version: 5.7.40

pt-online-schema-change version: 3.1.0

Before digging deeper, we must first obtain the whole picture. Here is an illustration of the table’s structure.

Table structure:

This is an update for MySQL 8 Stored PSM to add the ONLY_FULL_GROUP_BY mode to the global SQL_MODE variable when it’s not set during a session. Here’s the code:

/* Drop procedure conditionally on whether it exists already. */
DROP PROCEDURE IF EXISTS set_full_group_by;

/* Reset delimter to allow semicolons to terminate statements. */
DELIMITER $$

/* Create a procedure to verify and set connection parameter. */
CREATE PROCEDURE set_full_group_by()
  LANGUAGE SQL
  NOT DETERMINISTIC
  SQL SECURITY DEFINER
  COMMENT 'Set connection parameter when not set.'
BEGIN

  /* Check whether full group by is set in the connection and
     if unset, set it in the scope of the connection. */
  IF EXISTS
    (SELECT TRUE
     WHERE NOT REGEXP_LIKE(@@SESSION.SQL_MODE,'ONLY_FULL_GROUP_BY'))
  THEN
    SET @@GLOBAL.SQL_MODE := CONCAT(@@SESSION.sql_mode,',ONLY_FULL_GROUP_BY');
  END IF;
END;
$$

/* Reset the default delimiter. */
DELIMITER ;

You can call the …

Using a MySQL HeatWave Database Service instance in OCI as an asynchronous replica is very useful. It allows testing the service with always updated data from on-premise production or from another cloud environement. It can be used in the process  of migrating with minimal downtime to OCI and finally, it can also be used between […]

As a MySQL database administrator, have you ever faced a brute force attack on your database server or been the target of a DDOS-like connection flow on port 3306? If so, you will quickly understand why this plugin distributed with MySQL can be very useful in such situations. Indeed, the connection-control plugin allows the administrator […]

Looking at how people are using COUNT(*) and COUNT(col), it looks like most of them think they are synonyms and just use what they happen to like, while there is a substantial difference in performance and even query results. Also, we find a difference in execution on InnoDB and MyISAM engines.

NOTE: All tests were applied for MySQL version 8.0.30, and in the background, I ran every query three to five times to make sure that all of them were fully cached in the buffer pool (for InnoDB) or by the filesystem (for MyISAM).

Count function for Innodb engine:

Let’s have look at the following series of examples for InnoDB engine:

CREATE TABLE count_innodb (
  id int(10) unsigned NOT NULL AUTO_INCREMENT,
  val_with_nulls int(11) default NULL,
  val_no_null int(10) unsigned NOT NULL,
  PRIMARY KEY idx (id)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;

(mysql) > select count(*) from count_innodb; …

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In OpenLampTech issue #60, we are looking at some fantastic articles covering:

• Laravel Eloquent and Query Builder tips
• Drupal’s updated CKEditor 5
• How Symfony powers Drupal
• Best SQL Editors
• WooCommerce Payment Gateways
• And much more

Want to help OpenLampTech be a success …

When performing physical backup on system that are heavily used, it can happen that the backup speed cannot keep up with the redo log generation. This can happen when the backup storage is slower than the redo log storage media and this can lead in inconsistency in the generated backup. MySQL Enterprise Backup (aka MEB) […]

Recently, I wrote several articles on how to load data from CSV files to migrate from different databases to MySQL Database Service: We saw that the most complicate is to write the CREATE TABLE statement that matches the data. I also received some questions about how to generate the table’s definition when only the CSV […]

Space constraint has been an endless and painstaking process for many of us, especially in systems that have a high number of transactions and data growth exceeding hundreds of GBs in a matter of days. In this blog, I will share a solution to remove this space and remove rows from tables in a few seconds regardless of the size of a table without causing any additional load on the database using table partitions.

The first approach that comes to anyone’s mind for deleting the row is using a DELETE query in SQL. Suppose, one wants to delete rows from a table that are older than one year—the query for such operations would be like this:

DELETE FROM salaries WHERE from_date <DATE_SUB(NOW(),INTERVAL 1 YEAR);

The above query is pretty straightforward but there are a few caveats:

• Server business will grow exponentially and could impact the usual traffic on the server.
• To speed up the above query …