steampipe plugin install oci

Table: oci_mysql_db_system_metric_memory_utilization_daily - Query OCI MySQL Database Services DB System Metrics using SQL

The Oracle Cloud Infrastructure (OCI) MySQL Database Service is a fully managed database service that lets developers and database administrators focus on application development and business needs rather than infrastructure operations. This service provides the ability to deploy MySQL Server-based applications in the cloud, on a platform that's built for scale, performance, and security. The MySQL Database Service is the only public cloud service built on MySQL Enterprise Edition.

Table Usage Guide

The oci_mysql_db_system_metric_memory_utilization_daily table provides insights into the daily memory utilization metrics of MySQL DB Systems within Oracle Cloud Infrastructure (OCI). As a Database Administrator or Developer, you can explore detailed memory usage statistics through this table, including total memory, used memory, and free memory. Utilize it to monitor and optimize your MySQL DB Systems' performance and resource usage, ensuring optimal operation and cost-effectiveness.

Examples

Basic info

Explore the daily memory utilization patterns of your MySQL database system. This helps in understanding memory usage trends and can aid in capacity planning and performance optimization.

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

Memory Utilization Over 80% average

This query helps to pinpoint instances where memory utilization has exceeded 80% on average. This is useful for identifying potential system performance issues and planning for capacity upgrades.

select
id,
timestamp,
round(minimum :: numeric, 2) as min_memory,
round(maximum :: numeric, 2) as max_memory,
round(average :: numeric, 2) as avg_memory,
sample_count
from
oci_mysql_db_system_metric_memory_utilization_daily
where
average > 80
order by
id,
timestamp;
select
id,
timestamp,
round(minimum, 2) as min_memory,
round(maximum, 2) as max_memory,
round(average, 2) as avg_memory,
sample_count
from
oci_mysql_db_system_metric_memory_utilization_daily
where
average > 80
order by
id,
timestamp;

Schema for oci_mysql_db_system_metric_memory_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 DB System.
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_mysql_db_system_metric_memory_utilization_daily