Table: oci_nosql_table_metric_storage_utilization - Query OCI NoSQL Tables using SQL
Oracle NoSQL Database is a scalable, low-latency key-value database for real-time big data workloads. It is designed to provide highly reliable, flexible, and available data storage across a configurable set of systems. This database supports SQL-like query capabilities and transactional consistency, making data easy to manage and analyze.
Table Usage Guide
The oci_nosql_table_metric_storage_utilization
table provides insights into storage utilization metrics of Oracle NoSQL tables. As a database administrator, you can leverage this table to monitor and manage the storage usage of your NoSQL tables. It helps you identify tables that are nearing their storage capacity, allowing you to take proactive measures to ensure optimal performance and avoid potential issues.
Examples
Basic info
Analyze the storage utilization of your NoSQL tables to understand usage patterns over time. This can help you optimize resource allocation and manage costs more effectively.
select name, timestamp, minimum, maximum, average, sum, sample_countfrom oci_nosql_table_metric_storage_utilizationorder by name, timestamp;
select name, timestamp, minimum, maximum, average, sum, sample_countfrom oci_nosql_table_metric_storage_utilizationorder by name, timestamp;
Intervals where storage utilization exceeded 20GB average
Determine the periods where your storage usage exceeded an average of 20GB. This is useful to identify potential resource overutilization and optimize your storage management.
select name, timestamp, minimum, maximum, average, sum, sample_countfrom oci_nosql_table_metric_storage_utilizationwhere average > 20order by name, timestamp;
select name, timestamp, minimum, maximum, average, sum, sample_countfrom oci_nosql_table_metric_storage_utilizationwhere average > 20order by name, timestamp;
Schema for oci_nosql_table_metric_storage_utilization
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