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Displaying posts with tag: tables (reset)
The Ultimate Guide to MySQL Partitions

This blog was originally published in July 2017 and was updated in August 2023.

It’s a pretty common question around here, so let’s see what we can do about that.

So, What is MySQL Partitioning?

Partitioning is a way in which a database (MySQL in this case) splits its actual data down into separate tables but still gets treated as a single table by the SQL layer.

When partitioning in MySQL, it’s a good idea to find a natural partition key. You want to ensure that table lookups go to the correct partition or group of partitions. This means that all SELECT, UPDATE, and DELETE should include that column in the WHERE clause. Otherwise, the storage engine does a scatter-gather and queries ALL partitions in a UNION that is not concurrent.

Generally, you must add the partition key into the primary key along …

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Insert Random Data into Tables Using mysql_random_data_load

In this short blogpost, we’ll show you how to use the mysql_random_data_load tool to insert random data into tables. This is a great aide in testing when you have empty tables and need them to be populated with data. We’ve all done it manually (the INSERT INTO … VALUES … way), but that is surely a waste of time. It can add up to a lot if you need to test tables with many columns, or even worse, with foreign keys.

Before saying anything else, we would like to mention that this tool is still under development, and that it will insert random data into tables. Be aware if running it in a production environment!

mysql_random_data_load is a tool created by …

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One Million Tables in MySQL 8.0

In my previous blog post, I talked about new general tablespaces in MySQL 8.0. Recently MySQL 8.0.3-rc was released, which includes a new data dictionary. My goal is to create one million tables in MySQL and test the performance.

Background questions

Q: Why million tables in MySQL? Is it even realistic? How does this happen?

Usually, millions of tables in MySQL is a result of “a schema per customer” Software as a Service (SaaS) approach. For the purposes of customer data isolation (security) and logical data partitioning (performance), each “customer” has a dedicated schema. You can think of a WordPress hosting service (or any CMS based hosting) where each …

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ProxySQL Admin Interface Is Not Your Typical MySQL Server!

In this blog post, I’ll look at how ProxySQL Admin behaves in some unusual and unexpected ways from a MySQL perspective.

ProxySQL allows you to connect to its admin interface using the MySQL protocol and use familiar tools, like the MySQL command line client, to manage its configuration as a set of configuration tables. This ability may trick you into thinking that you’re working with a stripped-down MySQL server – and expect it to behave like MySQL. 

It would be a mistake to think this! In fact, ProxySQL embeds the SQLite database to store its configuration. As such, it behaves much closer to SQLite!

Below, I’ll show you a few things that confused me at first. All of these are as of ProxySQL 1.3.6 (in case behavior changes in the future).

Fake support for Use command

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Using Percona XtraBackup on a MySQL Instance with a Large Number of Tables

In this blog post, we’ll find out how to use Percona XtraBackup on a MySQL instance with a large number of tables.

As of Percona Xtrabackup 2.4.5, you are required to have enough open files to open every single InnoDB tablespace in the instance you’re trying to back up. So if you’re running innodb_file_per_table=1, and have a large number of tables, you’re very likely to see Percona XtraBackup fail with the following error message:

InnoDB: Operating system error number 24 in a file operation.
InnoDB: Error number 24 means 'Too many open files'
InnoDB: Some operating system error numbers are described at http://dev.mysql.com/doc/refman/5.7/en/operating-system-error-codes.html
InnoDB: File ./sbtest/sbtest132841.ibd: 'open' returned OS error 124. Cannot continue operation
InnoDB: Cannot …
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Backup and Restore of Encrypted Innodb Tables


Distributing innodb tables made simpler!

With the support for cloud backups in MEB, distributing innodb tables across multiple MySQL instances has become easier.

1. Backup - take a cloud(Amazon S3) backup of the tables to be shared using the --use-tts=with-full-locking option.

./mysqlbackup \
--host=localhost --user=mysqluser --protocol=TCP --port=3306 \
--cloud-service=s3 --cloud-aws-region=us-east-1 \
--cloud-bucket=mebbackup –cloud-object-key=items.img \
--cloud-access-key-id=<access-key> --cloud-secret-access-key=<secret-key> \
--include-tables=^mycompany\.items.* --use-tts=with-full-locking \
--backup-dir=/tmp/bkups/backupdir --compress --backup-image=- …

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Regarding MySQL 5.6 temporary tables format

default_tmp_storage_engine variable was introduced in 5.6.3, allowing the configuration of the default engine for temporary tables. This seems to be in the direction, as I commented before, of making MyISAM an optional engine. In 5.7, a separate tablespace is being created to hold those tables in order to reduce its performance penalty (those tables do not need to be redone if the server crashes, so extra writes are avoided).

However, I have seen many people assuming that because default_tmp_storage_engine has the value “InnoDB”, all temporary tables are created in InnoDB format in 5.6. This is not true: first, because implicit temporary tables are still being created in memory using …

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Automatic Logging of Table Data Changes and Creation of Backups via a Stored Procedure

Permalink: http://bit.ly/1rNFRsO



The stripped down stored procedure shown below will accept any Data Manipulation Language statement as its parameter and automatically log the statement and create table backup copies before the statement is executed. The logging functionality is similar to MySQL's binary log but exclusive to DML statements and is useful for table data recovery operations, such as undoing the last table data change or to revert databases back to a certain point in time. All this is done exclusively using stored routines (procedures and functions).

Its assumed that the databases and tables that will be used are already formed to specific business requirements since DDL statements will not be logged by the stored procedure. Though logging of table data changes can also be achieved using triggers, it is not practical to alter each and …

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pstop – a top-like program for MySQL (based on performance_schema)

I have been working with MySQL for some time and it has changed significantly from what I was using in 5.0 to what we have now in 5.6. One of the biggest handicap we’ve had in the past is to not be able to see what MySQL is doing or why. MySQL 5.5 introduced us … Continue reading pstop – a top-like program for MySQL (based on performance_schema)

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