The latest from the MySQL community

Now i show you how to create CRUDCreate Read Update Delete using AngularJS and Laravel 5 In Following step by step you can create web application of create edit delete lists search with pagination of items modules In this post through you can make simple crud search and pagination module

Saturday I was in my favorite grocery store, standing in the line, browsing the net on my phone. I read Vadim Tkachenko‘s blog post about Measuring Percona Server Docker CPU/network overhead and his findings were opposite than mine – he didn’t found any measurable difference. Reading his post, he did found huge impact in networking […]

Saturday I was in my favourite grocery store, standing in the line, browsing the net on my phone. I read Vadim Tkachenko‘s blog post about Measuring Percona Server Docker CPU/network overhead and his findings were the opposite than mine – he didn’t found any measurable difference. Reading his post, he did found huge impact in networking which I didn’t […]

This is a repost of Otto Kekäläinen's blog of the MariaDB foundations work in 2015.

The mariadb.org website had over one million page views in 2015, a growth of about 9% since 2014. Good growth has been visible all over the MariaDB ecosystem and we can conclude that 2015 was a successful year for MariaDB.
Increased adoptionMariaDB was included for the first time in an official Debian release (version 8.0 "Jessie") and there has been strong adoption of MariaDB 10.0 in Linux distributions that already shipped 5.5. MariaDB is now available from all major Linux distributions including SUSE, RedHat, Debian and Ubuntu. Adoption of MariaDB in other platforms also increased, and MariaDB is now available as a database …

Next article from the MySQL 5.7 Performance stories, now about OLTP_RW scalability (if you missed any previous ones, see 1.6M SQL Query/sec (QPS) with MySQL 5.7, 1M SQL Query/sec on mixed OLTP_RO / true Point-Selects performance / over 100K Connect/sec Rate / …

If you store data with a parent-child relationship in MySQL tables, then you may want to identify and/or delete orphaned rows from the child table. An orphaned row is defined as a child row that references a non-existant parent row. If you enforce the parent-child relationship with a foreign key constraint on the child table then orphans are less likely to occur, but you can still end up with orphans; for example if a user disables foreign_key_checks in a session and deletes a parent row. If you choose not to create foreign keys in your database in order to avoid the performance overhead, then you are at higher risk of having orphaned rows.

Finding orphaned rows

Finding orphaned rows is fairly simple either using an exclusion join or a NOT EXISTS query.

Using the sakila database, here are two queries to …

It has been seven years since the last time I blogged about generated columns, and a lot has happened -- now both MariaDB and MySQL support them. So it's time to look again, see how well they're doing, and compare to the SQL standard's Optional feature T175 Generated columns.

This is not an introductory description or an explanation why you'd want to use generated columns rather than (say) triggers and views. For that, I'd recommend the relevant manuals or the blog posts by Alexander Rubin and Anders Karlsson.

The Generation Clause

Standard …

Within the MySQL team, we’re extremely excited about Group Replication! More and more of our users are also starting to become aware of this exciting feature–which offers native (virtually) synchronous replication with support for multi-master or active/active update-anywhere replication clusters. Our developers and users alike are eager to see easy, native HA come to MySQL!…

Whenever you need to increment or decrement value of column in database then you do not need to first fetch that record and then update so that way we will make long code and very hard code so basically you can increment and decrement by using increment and decrement statment of laravel query

UPDATE: Starting with MySQL 8.0.16 we have introduced the new minimal tar ball distribution. Take a look here.

MySQL is known and famous for it’s simplicity and small size, especially compared to other RDBMSs. But what if you want to deploy on tiny hardware? I mean something even smaller than RaspberryPi? I tested three steps to make the MySQL footprint as small as possible. All my tests were compiled for Oracle Linux 7 on x64 platform. I did not test any ARM cross compile. And these are the steps:

1. Compile my own binary
2. Remove all unnecessary tools/files
3. Strip symbol information from binary

Let’s take a closer look at the tree steps.
Compile my own binary MySQL is available as a source release. Using that you can configure the make process. That is documented pretty …