Reference for Kubernetes Engine (OKE)
This guide lists the predefined container engine objects in Resource Analytics for the Oracle Kubernetes Engine (OKE) service. You can find information about views, entity relationships, subject areas, and sample queries.
Views
This section provides information about container engine views within Resource Analytics OKE and their columns, data types, keys, and the referred view and column names. The following views are available:
| Name | Description |
|---|---|
| CONTAINER_ENGINE_CLUSTER_DIM_V | This view stores information on a Kubernetes cluster. |
| CONTAINER_ENGINE_NODE_DIM_V | This view stores information on the properties that define a node. |
| CONTAINER_ENGINE_NODE_POOL_DIM_V | This view stores information on the properties that define a node pool. |
| CONTAINER_ENGINE_VIRTUAL_NODE_DIM_V | This view stores information on the properties that define a virtual node. |
| CONTAINER_ENGINE_VIRTUAL_NODE_POOL_DIM_V | This view stores information on a pool of virtual nodes attached to a cluster. |
| CONTAINER_ENGINE_WORKLOAD_MAPPING_DIM_V | This view stores information on the properties that define a workloadMapping. |
| CONTAINER_ENGINE_CLUSTER_FACT_V | Fact view for OKE clusters. |
| CONTAINER_ENGINE_NODE_FACT_V | Fact view for OKE nodes. |
| CONTAINER_ENGINE_VIRTUAL_NODE_FACT_V | Fact view for OKE virtual nodes. |
| CONTAINER_ENGINE_WORKLOAD_MAPPING_FACT_V | Fact view for OKE workloadMappings. |
The suffixes in the view names specify the view type:
- FACT_V: Fact
- DIM_V: Dimension
Relationship Diagram
This section provides diagrams that define the logical relationship of a fact table with different dimension tables.
The contents of each view and their relationships are listed in the following file: Kubernetes Engine (OKE) views.
These diagrams show the relationship of the container engine fact views with different dimension views.
Sample Queries
Sample queries for OKE.
SELECT CLUSTER_ID, LIFECYCLE_STATE, NODE_COUNT
FROM OCIRA.CONTAINER_ENGINE_CLUSTER_FACT_V;SELECT NODE_POOL_ID, NODE_ID
FROM OCIRA.CONTAINER_ENGINE_NODE_FACT_V;SELECT VIRTUAL_NODE_POOL_ID, VIRTUAL_NODE_ID
FROM OCIRA.CONTAINER_ENGINE_VIRTUAL_NODE_FACT_V;SELECT CLUSTER_ID, WORKLOAD_MAPPING_ID
FROM OCIRA.CONTAINER_ENGINE_WORKLOAD_MAPPING_FACT_V;Data Lineage
The Customer Experience Semantic Model Lineage spreadsheet and Metric Calculation Logic spreadsheet for OKE provides an end-to-end data lineage summary report for physical and logical relationships in your data.
For more information, see Data Lineage.
Subject Areas
This section provides information on the subject areas with data you maintain in OKE. These subject areas, with their corresponding data, are available for you to use when creating and editing analyses and reports. The information for each subject area includes:
Description of the subject area.
Business questions that can be answered by data in the subject area, with a link to more detailed information about each business question.
Job-specific groups and duty roles that can be used to secure access to the subject area, with a link to more detailed information about each job role and duty role.
Primary navigation to the work area that's represented by the subject area.
Time reporting considerations in using the subject area, such as whether the subject area reports historical data or only the current data. Historical reporting refers to reporting on historical transactional data in a subject area. With a few exceptions, all dimensional data are current as of the primary transaction dates or system date.
The lowest grain of transactional data in a subject area. The lowest transactional data grain decides how data are joined in a report.
Special considerations, tips, and things to look out for in using the subject area to create analyses and reports.