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

Oracle Cloud Infrastructure's MySQL DB System is a fully managed, scalable MySQL relational database service that enables organizations to deploy cloud-native applications. It offers a secure, automated, and extensible platform for running MySQL applications. This service provides the ability to monitor CPU utilization metrics on an hourly basis.

Table Usage Guide

The oci_mysql_db_system_metric_cpu_utilization_hourly table provides insights into the CPU utilization metrics of MySQL DB Systems within Oracle Cloud Infrastructure (OCI). As a database administrator, you can explore these metrics to understand the CPU usage patterns and performance of your MySQL DB Systems. Utilize it to uncover information about CPU usage trends, identify peak usage times, and plan capacity accordingly.

Examples

Basic info

Analyze the CPU utilization of your MySQL database system over the past hour. This allows you to identify periods of high demand and optimize system performance accordingly.

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

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

CPU Over 80% average

Analyze the settings to understand instances where CPU utilization is consistently high, exceeding 80% on average. This is useful for identifying potential performance bottlenecks and planning for capacity upgrades.

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_hourly
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_hourly
where
  average > 80
order by
  id,
  timestamp;

Query examples

mysql_db_system_top10_cpu_past_week

Schema for oci_mysql_db_system_metric_cpu_utilization_hourly

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_cpu_utilization_hourly