steampipe plugin install oci

Table: oci_database_autonomous_db_metric_cpu_utilization_hourly - Query OCI Database Autonomous Databases CPU Utilization Metrics using SQL

Autonomous Databases in Oracle Cloud Infrastructure Database service are self-driving, self-securing, and self-repairing databases that automate key management processes, including patching, tuning, backups, and upgrades. These databases provide CPU Utilization Metrics, which provide insights into the CPU usage of the databases. These metrics are important for monitoring the performance and ensuring the smooth operation of the databases.

Table Usage Guide

The oci_database_autonomous_db_metric_cpu_utilization_hourly table provides insights into the CPU utilization metrics of Autonomous Databases in OCI Database service. As a Database Administrator or DevOps engineer, you can leverage this table to monitor and manage the performance of your Autonomous Databases, including identifying high CPU usage periods, planning for capacity, and optimizing resource allocation. It serves as a valuable tool for maintaining the efficiency and reliability of your databases.

Examples

Basic info

Explore the patterns of CPU utilization over time in your Oracle Cloud Infrastructure database. This can help you understand resource usage trends and plan for capacity adjustments accordingly.

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

CPU Over 80% average

Explore instances where the average CPU usage exceeds 80% to identify potential performance issues and optimize resource allocation. This can be particularly beneficial in managing resources efficiently and preventing system slowdowns or crashes due to high CPU utilization.

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_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_database_autonomous_db_metric_cpu_utilization_hourly
where
average > 80
order by
id,
timestamp;

Schema for oci_database_autonomous_db_metric_cpu_utilization_hourly

NameTypeOperatorsDescription
_ctxjsonbSteampipe context in JSON form, e.g. connection_name.
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.
sumdouble precisionThe sum of the metric values for the data point.
tenant_idtextThe 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_hourly