Table: oci_nosql_table_metric_read_throttle_count - Query OCI NoSQL Database Tables using SQL
The Oracle Cloud Infrastructure NoSQL Database is a fully managed NoSQL database cloud service that offers developers a high performance, reliable, and cost-effective solution for web-scale data management. The service is easy to use and provides developers with quick and efficient access to their data. It is designed to handle different data models and can be used for many different types of applications, from small, simple applications to large, complex ones.
Table Usage Guide
The oci_nosql_table_metric_read_throttle_count
table provides insights into the read throttle count metrics of OCI NoSQL Database Tables. As a database administrator, you can leverage this table to monitor and manage the read throttling on your NoSQL database tables. This can be particularly useful in optimizing the performance and cost efficiency of your NoSQL databases.
Examples
Basic info
Explore which NoSQL tables in your OCI environment have experienced read throttling. This can help you identify potential performance issues and optimize your database operations for better efficiency.
select name, timestamp, minimum, maximum, average, sum, sample_countfrom oci_nosql_table_metric_read_throttle_countorder by name, timestamp;
select name, timestamp, minimum, maximum, average, sum, sample_countfrom oci_nosql_table_metric_read_throttle_countorder by name, timestamp;
### Intervals where read throttle count exceeded 100 averageExplore instances where the read throttle count exceeded an average of 100, allowing you to identify potential performance issues and optimize accordingly. This can be particularly useful in managing and improving the efficiency of your NoSQL database operations.
```sql+postgresselect name, timestamp, minimum, maximum, average, sum, sample_countfrom oci_nosql_table_metric_read_throttle_countwhere average > 100order by name, timestamp;
select name, timestamp, minimum, maximum, average, sum, sample_countfrom oci_nosql_table_metric_read_throttle_countwhere average > 100order by name, timestamp;
Schema for oci_nosql_table_metric_read_throttle_count
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