Cloud SQL is a fully managed service that makes it easy to set up, manage, and administer relational databases: PostgreSQL, MySQL, and SQL Server. MySQL is an open-source relational database management system based on the SQL programming language.The primary use of MySQL databases is for online storing, but they also work for data warehousing and logging applications.
- MySQL Database Service is the only MySQL cloud service with an integrated, high-performance analytics engine that enables customers to run sophisticated analytics directly against their operational MySQL databases, eliminating the need for complex, time-consuming, and expensive data movement and integration with a separate analytics database.
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- MariaDB vs MySQL
- MariaDB vs MySQL Performance Comparison
MySQL is one of the most widely used databases across the world. It is free and is open-source as well. Developed in C/C++, MySQL is one of the most popular database choices.
The database was started by a Swedish company “MySQL AB” in 1995. MySQL AB was later acquired by Sun Microsystems in 2008. Later, Sun Microsystems was acquired by Oracle in 2010. Since then, MySQL is maintained and managed by Oracle.
During the acquisition of Sun Microsystems by Oracle, some of the senior engineers who were working on the development of MySQL felt that there is a conflict of interest between MySQL and Oracle’s commercial database - Oracle Database Server. As a result, these engineers created a fork of MySQL code base and started their own organization. This is how MariaDB was born.
As of today, both databases are highly popular and are extensively used by the developer community. MySQL is ranked #2 among the relational databases and #2 overall (#1 being Oracle database). On the contrary, MariaDB is slightly behind - #9 among the relational databases and #14 overall.
MariaDB vs MySQL
In this blog post, we will try to compare some of the features of both of these databases to see which one is the best for usage in 2020.
MariaDB vs MySQL Performance Comparison
MariaDB has several optimizations that tend to improve the performance as compared to MySQL. In fact, that was exactly the vision in mind when MariaDB was started by Michael Widenius, the original founder of both MySQL as well as MariaDB.
Database Views
As an example, there is a huge performance optimization with respect to database “views”. “Views” are essentially virtual database tables which can be queried like regular tables of the database. In MySQL, when you query a view, all of the tables that are connected to the view are queried, irrespective of the fact that the query may not require some of the views. This has been optimized in MariaDB where only those tables are queried that are required by the query.
ColumnStore
As another example, MariaDB provides yet another powerful performance improvement in the form of “ColumnStore” which is a distributed data architecture that allows scaling MariaDB greatly. It can scale linearly to store petabytes of data across various servers in a database cluster.
Better Performance in Flash Storage
MariaDB also provides MyRocks storage engine that adds the RocksDB database to it. RocksDB is a database that has been designed for better performance in flash storage by providing a higher level of data compression.
Segmented Key Cache
MariaDB introduces another performance improvement in the form of Segmented Key Cache. In a typical cache, various threads compete to take a lock over the cached entry. These locks are called as mutexes. When multiple threads are competing for a mutex, only one of them is able to get it while others have to wait for the lock to get freed before performing the operation. This leads to execution delays in these threads slowing down the database performance. In case of Segmented Key Cache, the thread need not lock the entire page, but it can lock only the particular segment to which the page belongs. This helps multiple threads to work in parallel thereby increasing the parallelism in the application leading to better performance of the database.
Virtual Columns
An interesting feature that MariaDB supports is that of virtual columns. These columns are capable of performing the calculations at the database level. This is extremely useful when many applications are accessing the same column and so, there is no need to write the calculation in each application - the database can do that for you. This feature isn’t available in MySQL.
Parallel Execution of Queries
One of the recent versions of MariaDB - 10.0 allows for parallel execution of several queries. The idea is that some queries from the Master can be replicated in the slave and can, therefore, be executed in parallel. This parallelism in query execution certainly provides MariaDB an edge over MySQL.
Thread Pooling
MariaDB also introduces a new concept called “Thread Pooling”. Previously, when multiple connections to a database were needed, for each connection, a thread was opened leading to a “one thread per connection” based architecture. With “Thread Pooling”, there will be a pool of open threads which a new connection can pick up and query the database. This way, a new thread need not be opened for every new connection request leading to faster query results. This feature is available in the Enterprise edition of MySQL but is unfortunately unavailable in the Community edition.
Storage Engines
MariaDB provides several powerful storage engines out-of-the-box which are not available in MySQL. For example, XtraDB, Aria, etc. To set up these storage engines for MySQL, you need to install them manually which may not be the most convenient thing.
Compatibility
MariaDB team is making sure that MariaDB can seamlessly replace MySQL in the existing applications. In fact, for each version of MySQL, they release the same version number of MariaDB to indicate that MariaDB is generally compatible with the corresponding MySQL version. This opens up the possibility of switching to MariaDB seamlessly without any modifications in the application code-base.
Open Source vs Proprietary Database
MySQL is a large project and is managed by one of the largest organizations in the world - Oracle. This has its pros and cons. One of the biggest con is that releasing new features in organizations that big takes a lot of time. On the other hand, MariaDB is fully open sourced and they are quite fast in accepting outside contributions and releasing as new features and enhancements. This is yet another point that must be kept in mind while deciding between MySQL and MariaDB.
Conclusion
MariaDB is undoubtedly quite powerful and provides many features that are extremely useful and are not supported in MySQL. Such features indeed make MariaDB a lucrative choice to be used as the primary backend database. Generally speaking, organizations that have already purchased licenses for Oracle need not invest in MariaDB. However, those who are starting afresh and want to decide on which database to use, undoubtedly MariaDB is a better choice.
Which database you opt for, Hackr.io has programming community-recommended tutorials for both:
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You have seen MySQL pattern matching with LIKE ...%. MySQL supports another type of pattern matching operation based on the regular expressions and the REGEXP operator. If you are aware of PHP or PERL, then it is very simple for you to understand because this matching is same like those scripting the regular expressions.
Following is the table of pattern, which can be used along with the REGEXP operator.
Pattern | What the pattern matches |
---|---|
^ | Beginning of string |
$ | End of string |
. | Any single character |
[...] | Any character listed between the square brackets |
[^...] | Any character not listed between the square brackets |
p1|p2|p3 | Alternation; matches any of the patterns p1, p2, or p3 |
* | Zero or more instances of preceding element |
+ | One or more instances of preceding element |
{n} | n instances of preceding element |
{m,n} | m through n instances of preceding element |
Examples
Now based on above table, you can device various type of SQL queries to meet your requirements. Here, I am listing a few for your understanding.
Consider we have a table called person_tbl and it is having a field called name −
Query to find all the names starting with 'st' −
Query to find all the names ending with 'ok' −
Query to find all the names, which contain 'mar' −
Mysql Update
Query to find all the names starting with a vowel and ending with 'ok' −