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Table: oci_mysql_db_system_metric_cpu_utilization - Query OCI MySQL Database Service DB System Metrics using SQL

The OCI MySQL Database Service is a fully managed relational database service that enables organizations to deploy cloud-native applications using the world's most popular open-source database. It is built on MySQL Enterprise Edition and powered by Oracle Cloud, providing a cost-effective and high-performance solution for deploying applications in the cloud. DB System Metrics for CPU Utilization provides valuable insights into the CPU usage of your MySQL Database System.

Table Usage Guide

The oci_mysql_db_system_metric_cpu_utilization table provides insights into the CPU utilization of DB Systems in the OCI MySQL Database Service. As a database administrator, you can explore detailed metrics about CPU usage through this table, including the percentage of CPU utilization, the timestamp of the data, and the average, maximum, and minimum values over a specified time period. Utilize it to monitor and optimize the performance of your MySQL Database Systems in the cloud.

Examples

Basic info

Explore the performance metrics of a MySQL database system to understand its CPU utilization. This allows you to assess the system's efficiency and optimize its performance by identifying the instances of minimum, maximum, and average CPU usage over a period of time.

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

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

CPU Over 80% average

Identify instances where the average CPU usage surpasses 80%. This query is useful in monitoring system health and preventing potential overloads or crashes due to high CPU usage.

select
  id,
  timestamp,
  round(minimum :: numeric, 2) as min_cpu,
  round(maximum :: numeric, 2) as max_cpu,
  round(average :: numeric, 2) as avg_cpu,
  sample_count
from
  oci_mysql_db_system_metric_cpu_utilization
where
  average > 80
order by
  id,
  timestamp;

select
  id,
  timestamp,
  round(minimum, 2) as min_cpu,
  round(maximum, 2) as max_cpu,
  round(average, 2) as avg_cpu,
  sample_count
from
  oci_mysql_db_system_metric_cpu_utilization
where
  average > 80
order by
  id,
  timestamp;

Schema for oci_mysql_db_system_metric_cpu_utilization

Name	Type	Description
_ctx	jsonb	Steampipe context in JSON form, e.g. connection_name.
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.
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_cpu_utilization