Table: oci_nosql_table_metric_read_throttle_count_hourly - Query OCI NoSQL Database Tables using SQL

The Oracle NoSQL Database is a distributed key-value database designed to provide highly reliable, scalable, and available data storage across a configurable set of systems that function as storage nodes. It delivers predictable latency, is easy to use, and offers low total cost of ownership. It enables users to manage and access data across multiple nodes.

Table Usage Guide

The oci_nosql_table_metric_read_throttle_count_hourly table provides insights into the hourly read throttle count metrics of NoSQL Database Tables within Oracle Cloud Infrastructure (OCI). As a database administrator, you can explore table-specific details through this table, including read throttle counts and associated timestamps. Utilize it to monitor and manage the performance of your NoSQL database tables, ensuring optimal usage and avoiding potential bottlenecks.

Examples

Basic info

Gain insights into the hourly metrics of NoSQL table read throttle counts, including the minimum, maximum, average, and total counts, to understand the performance and usage patterns. This can be used to optimize resource allocation and improve application performance.

select
  name,
  timestamp,
  minimum,
  maximum,
  average,
  sum,
  sample_count
from
  oci_nosql_table_metric_read_throttle_count_hourly
order by
  name,
  timestamp;

select
  name,
  timestamp,
  minimum,
  maximum,
  average,
  sum,
  sample_count
from
  oci_nosql_table_metric_read_throttle_count_hourly
order by
  name,
  timestamp;

Intervals where read throttle count exceeded 100 average

Explore instances where the count of read throttles exceeded an average of 100 within a given hour. This can help in identifying potential bottlenecks in data retrieval and read operations, allowing for better performance optimization.

select
  name,
  timestamp,
  minimum,
  maximum,
  average,
  sum,
  sample_count
from
  oci_nosql_table_metric_read_throttle_count_hourly
where
  average > 100
order by
  name,
  timestamp;

select
  name,
  timestamp,
  minimum,
  maximum,
  average,
  sum,
  sample_count
from
  oci_nosql_table_metric_read_throttle_count_hourly
where
  average > 100
order by
  name,
  timestamp;

Query examples

nosql_table_top_10_read_throttle_count_avg

Schema for oci_nosql_table_metric_read_throttle_count_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.
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.
name	text		The name of the NoSQL table.
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_nosql_table_metric_read_throttle_count_hourly