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See Grand Total Time
Data Source Name
A database server attribute found on the QAN page. It informs how PMM connects to the selected database.

The DISABLE_UPDATES option removes the Update button from the interface and prevents the system from being updated manually.

Set it to true when running a docker container:

See Data Source Name
External Monitoring Service
A monitoring service which is not provided by PMM directly. It is bound to a running Prometheus exporter. As soon as such an service is added, you can set up the Metrics Monitor to display its graphs.
Grand Total Time
Grand Total Time.(percent of grand total time) is the percentage of time that the database server spent running a specific query, compared to the total time it spent running all queries during the selected period of time.
A series of data which are visualized in PMM.
Metrics Monitor (MM)
Component of PMM Server that provides a historical view of metrics critical to a MySQL server instance.

By default, Prometheus in PMM Server uses up to 768 MB of memory for storing the most recently used data chunks. Depending on the amount of data coming into Prometheus, you may require a higher limit to avoid throttling data ingestion, or allow less memory consumption if it is needed for other processes.

To set this environment variable, use the -e option along with docker run. The value must be passed in kilobytes. For example, to set the limit to 4 GB of memory run the following command:


The limit affects only memory reserved for data chunks. Actual RAM usage by Prometheus is higher. It is recommended to set this limit to roughly 2/3 of the total memory that you are planning to allow for Prometheus.

For example, if you set the limit to 4 GB, then Prometheus will use up to 6 GB of memory.

Monitoring service

A special service which collects information from the database instance where PMM Client is installed.

To add a monitoring service, use the pmm-admin add command.


The topology manager for MySQL. By default it is disabled for the PMM Server. To enable it, set the ORCHESTRATOR_ENABLED.

$ docker run ... -e ORCHESTRATOR_ENABLED=true

See also


Percona Monitoring and Management
PMM Client

Collects MySQL server metrics, general system metrics, and query analytics data for a complete performance overview.

The collected data is sent to PMM Server.

For more information, see Percona Monitoring and Management Architecture.

PMM Docker Image

A docker image which enables installing the PMM Server by using docker.

For more information about how to install PMM Server using this option, see Running PMM Server Using Docker.

PMM Home Page

The starting page of the PMM portal from which you can open the tools of PMM, view or download documentation.

On the PMM home page, you can also find the version number and a button to update your PMM server (see PMM Version).

PMM Server

Aggregates data collected by PMM Client and presents it in the form of tables, dashboards, and graphs in a web interface.

PMM Server combines the backend API and storage for collected data with a frontend for viewing time-based graphs and performing thorough analysis of your MySQL and MongoDB hosts through a web interface.

Run PMM Server on a host that you will use to access this data.

For more information, see Percona Monitoring and Management Architecture.

PMM Version

The version of PMM appears at the bottom of the PMM server home page.


To update your PMM Server, click the Update button located next to the version number.

A program which changes the configuration of the PMM Client. See detailed documentation in the Managing PMM Client section.
See Query Analytics (QAN)
Query Abstract
Query pattern with placeholders. This term appears in QAN as an attribute of queries.
Query Analytics (QAN)
Component of PMM Server that enables you to analyze MySQL query performance over periods of time.
Query Fingerprint
See Query Abstract
Query ID
A query fingerprint which groups similar queries.
Query Load
The percentage of time that the MySQL server spent executing a specific query.
Query Metrics Summary Table
An element of Query Analytics (QAN) which displays the available metrics for the selected query.
Query Metrics Table
A tool within QAN which lists metrics applicable to the query selected in the query summary table.
Query Summary Table
A tool within QAN which lists the queries which were run on the selected database server during the selected time or date range.
Quick ranges

Predefined time periods which are used by QAN to collect metrics for queries. The following quick ranges are available:

  • last hour
  • last three hours
  • last five hours
  • last twelve hours
  • last twenty four hours
  • last five days
Selected Time or Date Range
A predefined time period (see Quick ranges), such as 1 hour, or a range of dates that QAN uses to collects metrics.

Percona may collect some statistics about the machine where PMM is running.

This statistics includes the following information:

  • PMM Server unique ID
  • PMM version
  • The name and version of the operating system, AMI or virtual appliance
  • MySQL version
  • Perl version

You may disable telemetry by passing an additional parameter to Docker.

$ docker run ... -e DISABLE_TELEMETRY=true
A database server attribute found on the QAN page. it informs the full version of the monitored database server, as well as the product name, revision and release number.

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