Table: oci_mysql_db_system_metric_memory_utilization - Query OCI MySQL DB System Metrics using SQL

Oracle Cloud Infrastructure's MySQL Database Service is a fully managed database service that lets developers and database administrators focus on application development and business innovation. It provides a highly available, scalable, and secure MySQL Database environment, with the operational benefits of the cloud. The service is built on MySQL Enterprise Edition and powered by Oracle Cloud Infrastructure.

Table Usage Guide

The oci_mysql_db_system_metric_memory_utilization table provides insights into the memory utilization metrics of MySQL DB Systems in Oracle Cloud Infrastructure (OCI). As a database administrator, you can use this table to monitor and analyze the memory usage patterns of your MySQL databases, which can help you optimize performance and resource allocation. Additionally, it can assist in identifying potential issues related to memory utilization, enabling proactive troubleshooting and maintenance.

Examples

Basic info

Explore the performance of your MySQL database system by examining the memory utilization metrics. This allows you to identify periods of high or low usage, aiding in resource planning and optimization.

select
  id,
  timestamp,
  minimum,
  maximum,
  average,
  sample_count
from
  oci_mysql_db_system_metric_memory_utilization
order by
  id,
  timestamp;

select
  id,
  timestamp,
  minimum,
  maximum,
  average,
  sample_count
from
  oci_mysql_db_system_metric_memory_utilization
order by
  id,
  timestamp;

Memory Utilization Over 80% average

Explore instances where the average memory utilization exceeds 80% in your MySQL database system. This can help you identify potential performance issues and optimize resource allocation for better system performance.

select
  id,
  timestamp,
  round(minimum :: numeric, 2) as min_memory,
  round(maximum :: numeric, 2) as max_memory,
  round(average :: numeric, 2) as avg_memory,
  sample_count
from
  oci_mysql_db_system_metric_memory_utilization
where
  average > 80
order by
  id,
  timestamp;

select
  id,
  timestamp,
  round(minimum, 2) as min_memory,
  round(maximum, 2) as max_memory,
  round(average, 2) as avg_memory,
  sample_count
from
  oci_mysql_db_system_metric_memory_utilization
where
  average > 80
order by
  id,
  timestamp;

Schema for oci_mysql_db_system_metric_memory_utilization

Name	Type	Operators	Description
_ctx	jsonb		Steampipe context in JSON form.
average	double precision		The average of the metric values that correspond to the data point.
compartment_id	text		The ID of the compartment.
id	text		The OCID of the DB System.
maximum	double precision		The maximum metric value for the data point.
metric_name	text		The name of the metric.
minimum	double precision		The minimum metric value for the data point.
namespace	text		The metric namespace.
region	text		The OCI region in which the resource is located.
sample_count	double precision		The number of metric values that contributed to the aggregate value of this data point.
sp_connection_name	text	=, !=, ~~, ~~, !~~, !~~	Steampipe connection name.
sp_ctx	jsonb		Steampipe context in JSON form.
sum	double precision		The sum of the metric values for the data point.
tenant_id	text	=, !=, ~~, ~~, !~~, !~~	The OCID of the Tenant in which the resource is located.
tenant_name	text		The name of the Tenant in which the resource is located.
timestamp	timestamp with time zone		The time stamp used for the data point.
unit	text		The standard unit for the data point.

Export

This table is available as a standalone Exporter CLI. Steampipe exporters are stand-alone binaries that allow you to extract data using Steampipe plugins without a database.

You can download the tarball for your platform from the Releases page, but it is simplest to install them with the steampipe_export_installer.sh script:

/bin/sh -c "$(curl -fsSL https://steampipe.io/install/export.sh)" -- oci

You can pass the configuration to the command with the --config argument:

steampipe_export_oci --config '<your_config>' oci_mysql_db_system_metric_memory_utilization