Table: oci_database_autonomous_db_metric_cpu_utilization_daily - Query OCI Database Autonomous Databases using SQL

Oracle Autonomous Database is a fully managed, preconfigured database environment with two workload types available, Autonomous Transaction Processing and Autonomous Data Warehouse. The autonomous database is built on Oracle Database 19c and includes features like automatic indexing, AI-driven tuning, and automated data movement. It is designed to support all standard SQL and business intelligence (BI) tools and provides all of the performance of the market-leading Oracle Database in an environment that is tuned and optimized for data warehouse workloads.

Table Usage Guide

The oci_database_autonomous_db_metric_cpu_utilization_daily table provides insights into daily CPU Utilization Metrics of Autonomous Databases within Oracle Cloud Infrastructure. As a Database Administrator, explore database-specific details through this table, including CPU utilization, average active sessions, and associated metadata. Utilize it to monitor and optimize the performance of your Autonomous Databases, such as identifying databases with high CPU utilization, and making informed decisions on resource allocation.

Examples

Basic info

Analyze the daily CPU utilization metrics of your autonomous databases to understand their performance trends and resource consumption. This can assist in optimizing resource allocation, identifying peak usage times, and planning capacity for better database management.

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

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

CPU Over 80% average

Identify instances where the average CPU utilization exceeds 80% in a day to monitor system performance and prevent potential overloads or slowdowns. This allows for proactive resource management and can help maintain optimal system operation.

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

Query examples

database_autonomous_db_by_cpu_utilization

Schema for oci_database_autonomous_db_metric_cpu_utilization_daily

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 Autonomous Database.
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_database_autonomous_db_metric_cpu_utilization_daily