steampipe plugin install oci

Table: oci_database_autonomous_db_metric_cpu_utilization - Query OCI Database Autonomous DB Metric CPU Utilization using SQL

An Autonomous DB Metric CPU Utilization is a resource in Oracle Cloud Infrastructure's (OCI) Database service. It provides metrics related to the CPU utilization of autonomous databases within an OCI environment. These metrics can be used to monitor the performance and efficiency of the databases, helping to identify any potential issues or areas for improvement.

Table Usage Guide

The oci_database_autonomous_db_metric_cpu_utilization table provides insights into the CPU utilization of autonomous databases within the OCI Database service. As a Database Administrator, explore database-specific details through this table, including CPU utilization, average active sessions, and associated metadata. Utilize it to uncover information about autonomous databases, such as those with high CPU utilization, the performance of the databases, and the efficiency of resource usage.

Examples

Basic info

Explore the performance of your autonomous databases by analyzing their CPU utilization metrics. This query helps you assess the minimum, maximum, and average CPU usage over time, allowing you to optimize resources and improve database performance.

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

CPU Over 80% average

Identify instances where the average CPU utilization exceeds 80% in your autonomous database. This allows you to monitor system performance and manage resources effectively.

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_database_autonomous_db_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_database_autonomous_db_metric_cpu_utilization
where
average > 80
order by
id,
timestamp;

Schema for oci_database_autonomous_db_metric_cpu_utilization

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 Autonomous Database.
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_database_autonomous_db_metric_cpu_utilization