Table: alicloud_rds_instance_metric_connections - Query RDS Instance Connection Metrics using SQL

Alibaba Cloud Relational Database Service (RDS) provides scalable and managed database solutions for various database engines. Monitoring the number of active connections to an RDS instance helps assess database load, troubleshoot performance issues, and ensure availability.

Table Usage Guide

The alicloud_rds_instance_metric_connections table enables database administrators and DevOps engineers to query real-time and historical connection metrics for Alibaba Cloud RDS instances. Use this table to retrieve attributes such as the RDS instance ID, metric timestamp, and the number of active connections. This information supports proactive monitoring, capacity planning, and performance optimization of your database infrastructure.

Note: If the instance is not older than 5 minute then we will not get any metric statistics.

Examples

Basic info

Explore the connection metrics of database instances to gain insights into their performance and usage over time. This can help in identifying potential bottlenecks, planning capacity, and understanding the overall health of your databases.

select
  db_instance_id,
  timestamp,
  minimum,
  maximum,
  average
from
  alicloud_rds_instance_metric_connections
order by
  db_instance_id,
  timestamp;

select
  db_instance_id,
  timestamp,
  minimum,
  maximum,
  average
from
  alicloud_rds_instance_metric_connections
order by
  db_instance_id,
  timestamp;

Intervals where connection exceed 1000 average

Determine the intervals in which the average number of connections to your Alicloud RDS instances exceeds 1000. This can help identify potential performance issues or periods of heavy usage.

select
  db_instance_id,
  timestamp,
  round(minimum :: numeric, 2) as min_conn,
  round(maximum :: numeric, 2) as max_conn,
  round(average :: numeric, 2) as avg_conn
from
  alicloud_rds_instance_metric_connections
where
  average > 1000
order by
  db_instance_id,
  timestamp;

select
  db_instance_id,
  timestamp,
  round(minimum, 2) as min_conn,
  round(maximum, 2) as max_conn,
  round(average, 2) as avg_conn
from
  alicloud_rds_instance_metric_connections
where
  average > 1000
order by
  db_instance_id,
  timestamp;

Schema for alicloud_rds_instance_metric_connections

Name	Type	Operators	Description
_ctx	jsonb		Steampipe context in JSON form.
account_id	text	=, !=, ~~, ~~, !~~, !~~	The Alicloud Account ID in which the resource is located.
average	double precision		The average of the metric values that correspond to the data point.
db_instance_id	text		The ID of the single instance to query.
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.
sp_connection_name	text	=, !=, ~~, ~~, !~~, !~~	Steampipe connection name.
sp_ctx	jsonb		Steampipe context in JSON form.
timestamp	timestamp with time zone		The timestamp used 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)" -- alicloud

You can pass the configuration to the command with the --config argument:

steampipe_export_alicloud --config '<your_config>' alicloud_rds_instance_metric_connections