steampipe plugin install oci

Table: oci_database_autonomous_db_metric_storage_utilization_daily - 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 uses machine learning algorithms to enable unprecedented availability, high performance, and security, delivering a significantly lower cost of ownership.

Table Usage Guide

The oci_database_autonomous_db_metric_storage_utilization_daily table provides insights into the daily storage utilization metrics of OCI Autonomous Databases. As a database administrator, you can use this table to monitor and analyze storage usage trends and patterns over time. This can help in proactive capacity planning, ensuring optimal performance, and avoiding potential storage-related issues.

Examples

Basic info

Explore the patterns of storage utilization in your Oracle Cloud Infrastructure's autonomous databases. This query helps you assess the minimum, maximum, and average storage used daily, aiding in efficient resource management.

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

Storage Utilization Over 80% average

Determine the areas in which storage utilization exceeds an average of 80%. This query is useful for identifying potential issues with storage management and can aid in optimizing resource allocation.

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

Schema for oci_database_autonomous_db_metric_storage_utilization_daily

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_storage_utilization_daily