steampipe plugin install oci

Table: oci_database_autonomous_db_metric_storage_utilization_hourly - Query OCI Database Autonomous Databases using SQL

Oracle Cloud Infrastructure's 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 self-driving, self-securing, and self-repairing, which can automate all routine database tasks. It provides high performance, high availability, and strong security for any sized data warehouse workload.

Table Usage Guide

The oci_database_autonomous_db_metric_storage_utilization_hourly table provides insights into the hourly storage utilization metrics of Autonomous Databases within Oracle Cloud Infrastructure's Database service. As a database administrator, explore database-specific details through this table, including storage consumed by the database, the timestamp of the metric, and the average storage used. Utilize it to monitor and manage your autonomous databases' storage utilization effectively, ensuring optimal performance and cost management.

Examples

Basic info

Explore the utilization of storage in your autonomous databases over time. This can help you monitor usage trends, identify periods of high demand, and plan for future capacity needs.

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

Storage Utilization Over 80% average

Discover the segments that are utilizing more than 80% of their storage capacity on average. This information can help identify potential areas for optimization or expansion to ensure smooth operations.

select
id,
timestamp,
round(minimum :: numeric, 2) as min_storage,
round(maximum :: numeric, 2) as max_storage,
round(average :: numeric, 2) as avg_storage,
sample_count
from
oci_database_autonomous_db_metric_storage_utilization_hourly
where
average > 80
order by
id,
timestamp;
select
id,
timestamp,
round(minimum, 2) as min_storage,
round(maximum, 2) as max_storage,
round(average, 2) as avg_storage,
sample_count
from
oci_database_autonomous_db_metric_storage_utilization_hourly
where
average > 80
order by
id,
timestamp;

Schema for oci_database_autonomous_db_metric_storage_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_storage_utilization_hourly