MySQL Shell 8.0.21 comes with two utilities which can be used to perform logical dumps of all the schemas from an instance (util.dumpInstance()) or selected schemas (util.dumpSchemas()). These tools offer major performance improvements over the mysqldump utility, some of our benchmarks show a throughput up to 3GB/s!…

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Recently I had the opportunity to test a storage device from ScaleFlux called CSD 2000. In this blog post, I will share the results of using it to run MySQL in comparison with an Intel device that had a similar capacity.

First of all, why do we need another storage device? Why is ScaleFlux any different?

The answer is simple; it gives us built-in compression and atomic writes. For many workloads, but especially for database-type workloads, these are very important features.

Because of built-in compression, we can store more data on the ScaleFlux device than on a similar device with the same capacity.

Because of atomic writes, we can disable InnoDB Double Write buffer which means less writes/fsync on the disk layer. This should give us a performance advantage against non-atomic drives.

I ran many different tests on different data sizes, with different …

When you create a general tablespace in MySQL 8.0, you can choose the directory where the associated datafile is created.

CREATE TABLESPACE tablespace_name ADD DATAFILE ‘/my/table/space/dir’;

However, that directory must be known to InnoDB. Known directories are defined by the following settings: datadir,  innodb_data_home_dir,  innodb_undo_directory  &  innodb_directories.…

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Undo Tablespaces can be truncated either implicitly or explicitly in MySQL 8.0. Both methods use the same mechanism. This mechanism could cause periodic stalls on very busy systems while an undo tablespace truncate completes. This problem has been fixed in MySQL 8.0.21.…

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So you have waited two weeks (cause the crash isn’t easily repeatable) and finally you get the crash again. You check your non-datadir core file directory with loads of free space and discover nothing was written. When MySQL crashes, you … Continue reading →

We all know as SQL professionals that a common use of the ALTER TABLE command is that we can change a tables’ structure in a myriad number of ways. And, that’s a good thing too because chances are, you won’t always nail down the initial structure. Due to changing business or application requirements, you may even have to add additional columns that were not considered during the schema design phase. Suppose you have many tables that are structured similarly and they all need a specific column added to their already-existing design. Under certain circumstances, using the MySQL Shell in Python mode (\py), can reduce the number of manual ALTER TABLE statements you have to type. Continue reading to see examples in the MySQL Shell…

Photo by elCarito …

As with any new releases, MySQL 8.0.21 introduces many new improvements and updates, many of which deserve their own blog post for a deep dive into the new features. Among the notable changes are: Account Management Notes, JSON Notes, Authentication Notes and changes related to InnoDB, Optimizer, Gr...

Introduced in MySQL Shell 8.0.21, the new MySQL Shell Dump and Load utilities has as its main goal to minimize the time needed to create and restore logical dumps of large data sets.

Through heavy parallelization and other techniques, we were able to reduce the time needed for these tasks by an order of magnitude compared to previous dump utilities.…

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So this has turned into a small series, explaining how to work with MYSQL from a developers perspective. This post is intended as a directory for the individual articles. It will be amended and re-dated as necessary.

The code for the series is also available in isotopp/mysql-dev-examples on GitHub.

The Tag #mysqldev will reference all articles from this series.

• MySQL Transactions - the physical side. Looking at how MySQL InnoDB handles transactions on the physical media, enabling rollback and commit. Introduces a number of important concepts: The Undo Log, the Redo Log, the Doublewrite Buffer, and the corrosponding in memory …

Since we now know how to look at the state of locking in a live database, let’s look at what happens when we run a normal insert or update and an insert or update with foreign key relationships defined, and compare.

We will be using the tables and structures from our previous examples, a simple 1:n relationship between a and b:

CREATE TABLE a (
  a_id int NOT NULL AUTO_INCREMENT,
  PRIMARY KEY (a_id)
);

INSERT INTO a VALUES (10), (20), (30), (40);

CREATE TABLE b (
  b_id int NOT NULL AUTO_INCREMENT,
  a_id int NOT NULL,
  PRIMARY KEY (b_id),
  KEY `a_id` (a_id),
  CONSTRAINT a_id_exists FOREIGN KEY (a_id) REFERENCES a (a_id) ON DELETE RESTRICT ON UPDATE RESTRICT
);

INSERT INTO b VALUES (10,10), (40,40);

or the same definition for b without the constraint.

A normal INSERT and UPDATE

First, let’s look at an insert and update into b without any …