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_countfrom oci_database_autonomous_db_metric_cpu_utilization_hourlyorder by id, timestamp;
select id, timestamp, minimum, maximum, average, sample_countfrom oci_database_autonomous_db_metric_cpu_utilization_hourlyorder 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_countfrom oci_database_autonomous_db_metric_cpu_utilization_hourlywhere average > 80order 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_countfrom oci_database_autonomous_db_metric_cpu_utilization_hourlywhere average > 80order by id, timestamp;
Query examples
Schema for oci_database_autonomous_db_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 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_hourly