Table: aws_emr_cluster_metric_is_idle - Query AWS EMR Cluster Metrics using SQL

The AWS Elastic MapReduce (EMR) Cluster is a managed service that simplifies big data processing, with capabilities to analyze and process vast amounts of data quickly. It utilizes popular distributed frameworks such as Apache Hadoop and Spark. The 'is_idle' metric indicates whether the cluster is idle or not, helping to optimize resource utilization and cost.

Table Usage Guide

The aws_emr_cluster_metric_is_idle table in Steampipe provides you with information about the IsIdle metric of AWS Elastic MapReduce (EMR) Clusters. This table enables you, as a DevOps engineer, to query details related to the idle state of EMR clusters, including the cluster's ID, the namespace of the metric, and the timestamp of the metric. You can utilize this table to gather insights on cluster utilization, such as identifying underused resources and optimizing resource allocation. The schema outlines the various attributes of the EMR Cluster IsIdle metric for you, including the cluster ID, metric namespace, and metric timestamp.

The aws_emr_cluster_metric_is_idle table provides you with metric statistics at 5 minute intervals for the most recent 5 days.

Examples

Basic info

Assess the performance of your AWS EMR clusters by analyzing their idle metrics over time. This helps in optimizing resource usage by identifying periods of low activity or inactivity.

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

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

Schema for aws_emr_cluster_metric_is_idle

Name	Type	Operators	Description
_ctx	jsonb		Steampipe context in JSON form.
account_id	text	=, !=, ~~, ~~, !~~, !~~	The AWS Account ID in which the resource is located.
average	double precision		The average of the metric values that correspond to the data point.
id	text		The unique identifier for the cluster.
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.
partition	text		The AWS partition in which the resource is located (aws, aws-cn, or aws-us-gov).
region	text		The AWS 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.
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)" -- aws

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

steampipe_export_aws --config '<your_config>' aws_emr_cluster_metric_is_idle