Percona Monitoring and Management (PMM) is an effective tool in tracking stats of the running MySQL servers. Especially, the timelines capability helps users to get the picture of how the given stats changes over tenure of the workload. PMM official packages are not yet available on ARM but part of the PMM (importantly the stats collector aka exporter) could be compiled on ARM that would facilitate reporting stats of the MySQL instance running on ARM to PMM-Server there-by allowing it to track MySQL on ARM.

Background

Few days back Agustin from Percona tried compiling PMM Client on ARM. You can read more about it here. I just extended the process to also compile mysqld_exporter that is needed to connect and collect MySQL stats.

Compiling mysqld-exporter

Steps assume …

During the MDS webinar on how to deploy WordPress on OCI using MDS (slides & video), I briefly explained how to deploy the full architecture on OCI using Resource Manager and Stacks.

The Stack for that architecture is now available on my github: https://github.com/lefred/oci-wordpress-mds/releases/tag/0.0.1

To deploy it, it’s very easy. In OCI’s Dashboard, go on “Resource Manager” and then choose “Stacks“:

Create a new stack and just drop the …

Today we will see how to use MySQL Database Service aka MDS with WordPress.

To achieve this easy task, we will use the architecture we already deployed in this article.

We have then two Compute Instances on OCI, 1 running WordPress (Apache and PHP) and one running MySQL 8.0.

The Plan

This is how we will proceed to migrate to MDS with minimal maintenance time, we will:

1. create a MDS instance
2. verify if the database is ready to act as replication source
3. dump the MySQL instance running on OCI for being migrated to MDS.
4. load the dump in MDS
5. create a user dedicated to the replication
6. create a replication channel on MDS (from OCI to MDS)
7. modify WordPress config to point to MDS

Create a MDS …

This is just a note to help out anyone that might want to use the mysql_config_editor command in their automation tools. 

the mysql_config_editor does not take a password argument so automation tools that might have before set your password in the .my.cnf file trying to use mysql_config_editor fails. 

It is possible and quite simple though with the expect tool. 

 yum -y install expect  

it works for apt-get also. 

So in this example, I will show a simple bash script version. 

1st.. my login path does not work... 

mysql --login-path=local

ERROR 1045 (28000): Access denied for user

Set this with expect 

You would execute this via your bash script.  

expect <<EOD

spawn mysql_config_editor set --login-path=local …

Iterating schemas over time is not an uncommon thing. Often requirements emerge only after you have data, and then directed action is possible. Consequently, working on existing data, and structuring and cleaning it up is a common task.

In todays example we work with a log table that logged state transitions of things in freeform VARCHAR fields. After some time the log table grew quite sizeable, and the log strings are repeated rather often, contributing to the overall size of the table considerably.

We are starting with this table:

CREATE TABLE `log` (
  `id` int NOT NULL AUTO_INCREMENT,
  `device_id` int NOT NULL,
  `change_time` datetime NOT NULL,
  `old_state` varchar(64) NOT NULL,
  `new_state` varchar(64) NOT NULL,
  PRIMARY KEY (`id`)
) ENGINE=InnoDB

That is, our log table has an id field to allow individual row addressing, and then logs the state change of a …

When a table gets dropped, MySQL removes the respective .frm file. This post explains how to recover the table structure if the table was dropped.

You need the table structure to recover a dropped table from the InnoDB tablespace. The B+tree structure of the InnoDB index doesn’t contain any information about field types. MySQL needs to know that in order to access records of the InnoDB table. Normally, MySQL gets the table structure from the .frm file. But when MySQL drops a table the respective frm file removed too.

Fortunately, there’s one more place where MySQL keeps the table structure. It’s the InnoDB dictionary.

The InnoDB dictionary is a set of tables where InnoDB keeps information about the tables. I reviewed them in detail in a separate InnoDB Dictionary post earlier. After the DROP, InnoDB deletes records related to the dropped table from …

You can now watch the replay of our High Volume MySQL HA Use Case Webinar: SaaS Continuous Operations with Terabytes of Data; and learn how to guarantee continuous operations for a SaaS provider with billions of daily transaction and terabytes of data with Tungsten MySQL Clusters.

Tags:  Webinar MySQL use case tungsten clustering mysql cluster marketo High Availability …

Recently there was a question about which clients were connected to a server being asked in the MySQL Community Slack. The relevant information is available from performance schema, as most connectors will send information about themselves when connecting:

select * from performance_schema.session_connect_attrs;
+----------------+-----------------+------------------------+------------------+
| PROCESSLIST_ID | ATTR_NAME       | ATTR_VALUE             | ORDINAL_POSITION |
+----------------+-----------------+------------------------+------------------+
|            130 | _pid            | 17412                  |                0 |
|            130 | _platform       | x86_64                 |                1 |
|            130 | _os             | Linux-5.4.0            |                2 |
|            130 | _source_host    | maniacmansion          |                3 |
|            130 | …

Continuent is pleased to announce the availability of our new Tungsten Cluster (AMI) - the complete continuous operations solution for MySQL database clusters - on the AWS Marketplace.

Tags:  tungsten cluster AWS amazon marketplace tungsten clustering MySQL mysql high availability mysql disaster recovery …

The Challenge Often with sensitive information, you need to have an audit log. Not just that a table had a select run, but that specific cells within the table were accessed.  Frequently data such as this will contain a classification level as part of the row, defining policies for how it is handled, audited, etc.… Facebook Twitter LinkedIn