Table: oci_mysql_db_system_metric_cpu_utilization_daily - Query OCI MySQL DB System Metrics using SQL
MySQL DB System is a fully managed database service in Oracle Cloud Infrastructure (OCI) that enables the deployment of cloud-native applications using the world's most popular open-source database. It provides a high-performance, seamless, and secure experience for developers and end users. This service is designed to handle any size workload from small to large scale applications.
Table Usage Guide
The oci_mysql_db_system_metric_cpu_utilization_daily
table provides insights into the daily CPU utilization metrics of MySQL DB Systems within Oracle Cloud Infrastructure (OCI). As a database administrator or a system engineer, explore CPU-specific details through this table, including average, maximum, and minimum CPU utilization. Utilize it to uncover information about CPU usage patterns, such as peak utilization times, and to aid in capacity planning and performance tuning.
Examples
Basic info
Explore the variations in CPU utilization of your MySQL database system over time. This analysis can help you understand system performance and plan for capacity needs.
select id, timestamp, minimum, maximum, average, sample_countfrom oci_mysql_db_system_metric_cpu_utilization_dailyorder by id, timestamp;
select id, timestamp, minimum, maximum, average, sample_countfrom oci_mysql_db_system_metric_cpu_utilization_dailyorder by id, timestamp;
CPU Over 80% average
Determine the instances where the average CPU utilization exceeds 80% to proactively manage system performance and avoid potential bottlenecks.
select id, timestamp, round(minimum :: numeric, 2) as min_cpu, round(maximum :: numeric, 2) as max_cpu, round(average :: numeric, 2) as avg_cpu, sample_countfrom oci_mysql_db_system_metric_cpu_utilization_dailywhere average > 80order by id, timestamp;
select id, timestamp, round(minimum, 2) as min_cpu, round(maximum, 2) as max_cpu, round(average, 2) as avg_cpu, sample_countfrom oci_mysql_db_system_metric_cpu_utilization_dailywhere average > 80order by id, timestamp;
Schema for oci_mysql_db_system_metric_cpu_utilization_daily
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. | |
id | text | The OCID of the DB System. | |
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. | |
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_mysql_db_system_metric_cpu_utilization_daily