Table: oci_mysql_db_system_metric_connections_hourly - Query OCI MySQL DB Systems using SQL

Oracle Cloud Infrastructure's MySQL DB System is a fully managed database service that allows you to deploy cloud-native applications using the world's most popular open source database. It is built on MySQL Enterprise Edition and powered by the Oracle Cloud, providing a simple, automated, integrated and enterprise-ready MySQL cloud service. The service enables organizations to increase business agility and reduce costs.

Table Usage Guide

The oci_mysql_db_system_metric_connections_hourly table provides insights into the hourly connection metrics of MySQL DB Systems within Oracle Cloud Infrastructure (OCI). As a database administrator, you can explore connection-specific details through this table, including the number of successful, rejected, and total connection attempts. Utilize it to monitor connection trends, identify potential issues, and ensure optimal performance of your MySQL DB Systems.

Examples

Basic info

Explore the hourly metrics of MySQL database system connections to understand usage patterns and performance. This can help in optimizing resource allocation and identifying potential issues in real-time.

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

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

Active connection statistics

Analyze the active connection statistics in your MySQL database system to gain insights into the minimum, maximum, and average connections over time. This information can help you understand usage patterns and optimize resource allocation for improved performance.

select
  id,
  timestamp,
  round(minimum :: numeric, 2) as min_conn,
  round(maximum :: numeric, 2) as max_conn,
  round(average :: numeric, 2) as avg_conn,
  sample_count
from
  oci_mysql_db_system_metric_connections_hourly
where
  metric_name = 'ActiveConnections'
order by
  id,
  timestamp;

select
  id,
  timestamp,
  round(minimum, 2) as min_conn,
  round(maximum, 2) as max_conn,
  round(average, 2) as avg_conn,
  sample_count
from
  oci_mysql_db_system_metric_connections_hourly
where
  metric_name = 'ActiveConnections'
order by
  id,
  timestamp;

Current connection statistics

Explore the varying connection statistics in your MySQL database system over time to better understand usage patterns and anticipate potential issues. This query helps in monitoring the minimum, maximum, and average number of connections to optimize performance and resource allocation.

select
  id,
  timestamp,
  round(minimum :: numeric, 2) as min_conn,
  round(maximum :: numeric, 2) as max_conn,
  round(average :: numeric, 2) as avg_conn,
  sample_count
from
  oci_mysql_db_system_metric_connections_hourly
where
  metric_name = 'CurrentConnections'
order by
  id,
  timestamp;

select
  id,
  timestamp,
  round(minimum, 2) as min_conn,
  round(maximum, 2) as max_conn,
  round(average, 2) as avg_conn,
  sample_count
from
  oci_mysql_db_system_metric_connections_hourly
where
  metric_name = 'CurrentConnections'
order by
  id,
  timestamp;

Schema for oci_mysql_db_system_metric_connections_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.
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_connections_hourly