steampipe plugin install oci

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;

Schema for oci_mysql_db_system_metric_cpu_utilization_hourly

NameTypeOperatorsDescription
_ctxjsonbSteampipe context in JSON form.
averagedouble precisionThe average of the metric values that correspond to the data point.
compartment_idtextThe ID of the compartment.
idtextThe OCID of the DB System.
maximumdouble precisionThe maximum metric value for the data point.
metric_nametextThe name of the metric.
minimumdouble precisionThe minimum metric value for the data point.
namespacetextThe metric namespace.
regiontextThe OCI region in which the resource is located.
sample_countdouble precisionThe number of metric values that contributed to the aggregate value of this data point.
sp_connection_nametext=, !=, ~~, ~~*, !~~, !~~*Steampipe connection name.
sp_ctxjsonbSteampipe context in JSON form.
sumdouble precisionThe sum of the metric values for the data point.
tenant_idtext=, !=, ~~, ~~*, !~~, !~~*The OCID of the Tenant in which the resource is located.
tenant_nametextThe name of the Tenant in which the resource is located.
timestamptimestamp with time zoneThe time stamp used for the data point.
unittextThe 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