Table: oci_nosql_table_metric_storage_utilization_hourly - Query OCI NoSQL Database Tables using SQL

The Oracle Cloud Infrastructure (OCI) NoSQL Database service offers a fully managed NoSQL database for modern application development. It's a non-relational, distributed key-value database service that provides predictable latency for data at any scale. It supports JSON document storage and SQL querying, making it flexible for a wide range of applications and use cases.

Table Usage Guide

The oci_nosql_table_metric_storage_utilization_hourly table provides insights into the hourly storage utilization metrics of NoSQL Database Tables within OCI. As a database administrator, you can use this table to monitor and analyze the storage usage pattern of your NoSQL tables on an hourly basis. This can help you in capacity planning, detecting unusual activity, and optimizing the performance of your NoSQL databases.

Examples

Basic info

Analyze the settings to understand the storage utilization trends of NoSQL tables over time. This can help in identifying the tables that are consuming more storage, enabling effective resource management.

select
  name,
  timestamp,
  minimum,
  maximum,
  average,
  sum,
  sample_count
from
  oci_nosql_table_metric_storage_utilization_hourly
order by
  name,
  timestamp;

select
  name,
  timestamp,
  minimum,
  maximum,
  average,
  sum,
  sample_count
from
  oci_nosql_table_metric_storage_utilization_hourly
order by
  name,
  timestamp;

Intervals where storage utilization exceeded 20GB average

Determine the intervals when the storage utilization surpassed the average of 20GB. This is useful in identifying periods of high storage usage, which can aid in resource planning and cost management.

select
  name,
  timestamp,
  minimum,
  maximum,
  average,
  sum,
  sample_count
from
  oci_nosql_table_metric_storage_utilization_hourly
where
  average > 20
order by
  name,
  timestamp;

select
  name,
  timestamp,
  minimum,
  maximum,
  average,
  sum,
  sample_count
from
  oci_nosql_table_metric_storage_utilization_hourly
where
  average > 20
order by
  name,
  timestamp;

Schema for oci_nosql_table_metric_storage_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.
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.
name	text		The name of the NoSQL table.
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_nosql_table_metric_storage_utilization_hourly