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Table: oci_nosql_table_metric_write_throttle_count_daily - Query OCI NoSQL Tables using SQL

Oracle NoSQL Database is a scalable, distributed NoSQL database designed to provide highly reliable, flexible, and available data storage across a configurable set of systems. As a part of Oracle's Big Data platform, it delivers predictable latency, is easy to install, manage, and use, and is highly suited to developers. It supports JSON, SQL, and cloud-native API models for application development.

Table Usage Guide

The oci_nosql_table_metric_write_throttle_count_daily table provides insights into the daily metrics on write throttle count for OCI NoSQL Tables. As a database administrator, you can use this table to monitor the write operations that are being throttled daily. This can help you to manage your database performance, by identifying if there are any bottlenecks or if the write capacity needs to be adjusted.

Examples

Basic info

Analyze the daily write throttle count metrics to understand trends or identify potential issues in your Oracle NoSQL database. This query helps to monitor the overall performance and health of your database by tracking the minimum, maximum, average, and total write throttle counts over time.

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

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

Intervals where write throttle count exceeded 100 average

Determine the instances when the daily write throttle count surpasses an average of 100. This can be useful to identify potential bottlenecks in data writing processes and facilitate optimization efforts.

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

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

Query examples

Schema for oci_nosql_table_metric_write_throttle_count_daily

Name	Type	Description
_ctx	jsonb	Steampipe context in JSON form, e.g. connection_name.
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.
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_write_throttle_count_daily