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Reference for OpenSearch

This guide lists the predefined objects in Resource Analytics for Oracle OpenSearch. You can find information about views, entity relationships, subject areas, and sample queries.

Views

This section provides information about views within Resource Analytics OpenSearch and their columns, data types, keys, and the referred view and column names. The following views are available:

OpenSearch Views
NameDescription
OPENSEARCH_CLUSTER_DIM_VThis view stores information on an OpenSearch cluster resource, which represents a set of instances providing OpenSearch functionality in OCI Search Service with OpenSearch.
OPENSEARCH_CLUSTER_BACKUP_DIM_VThis view stores information on an OpenSearch cluster backup resource, which represents a backup for a set of instances that provide OpenSearch functionality in OCI Search Service with OpenSearch.
OPENSEARCH_CLUSTER_PIPELINE_DIM_VThis view stores information on an OpenSearch cluster Pipeline resource, which represents pipeline configurations for instances providing OpenSearch functionality in OCI Search Service with OpenSearch.
OPENSEARCH_CLUSTER_BACKUP_FACT_VFact table for OpenSearch cluster backups.
OPENSEARCH_CLUSTER_FACT_VFact table for OpenSearch clusters.

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: OpenSearch views.

These diagrams show the relationship of the OpenSearch fact views with different dimension views.

OPENSEARCH_CLUSTER_BACKUP_FACT_V
Relationship diagram showing the fact table, OPENSEARCH_CLUSTER_BACKUP_FACT_V connected to five dimension tables, COMPARTMENT_DIM_V, OPENSEARCH_CLUSTER_BACKUP_DIM_V, OPENSEARCH_CLUSTER_DIM_V, VCN_DIM_V, and VCN_SUBNET_DIM_V.

OPENSEARCH_CLUSTER_FACT_V
Relationship diagram showing the fact table, OPENSEARCH_CLUSTER_FACT_V connected to four dimension tables, COMPARTMENT_DIM_V, VCN_SUBNET_DIM_V, OPENSEARCH_CLUSTER_DIM_V, and VCN_DIM_V.

Relationships exist among dimensions. Dimensions can be joined directly to each other. This diagram shows the relationship between dimension views.

OPENSEARCH_CLUSTER_PIPELINE_DIM_V
Relationship diagram showing the dimension table, OPENSEARCH_CLUSTER_PIPELINE_DIM_V connected to four dimension tables, VCN_NETWORK_SECURITY_GROUP_DIM_V, VCN_SUBNET_DIM_V, COMPARTMENT_DIM_V, and VCN_DIM_V.

Sample Queries

Sample queries for OpenSearch.

List the number of backups for each cluster:
SELECT SOURCE_CLUSTER_ID, COUNT(CLUSTER_BACKUP_ID)
FROM OCIRA.OPENSEARCH_CLUSTER_BACKUP_FACT_V
GROUP BY SOURCE_CLUSTER_ID;
List the lifecycle state and total storage size for each cluster :
SELECT CLUSTER_ID, LIFECYCLE_STATE, TOTAL_STORAGE_GB
FROM OCIRA.OPENSEARCH_CLUSTER_FACT_V;
List the number of cluster pipelines per compartment:
SELECT COMPARTMENT_ID, COUNT(ID)
FROM OCIRA.OPENSEARCH_CLUSTER_PIPELINE_DIM_V
GROUP BY COMPARTMENT_ID;

Data Lineage

The Customer Experience Semantic Model Lineage spreadsheet and Metric Calculation Logic spreadsheet for OpenSearch 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 OpenSearch. 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.

The subject area is:
  • OpenSearch

Other References

This section provides other references related to OpenSearch.
  • OCI Search with OpenSearch documentation
  • OpensearchCluster Reference
  • OpensearchClusterBackup Reference
  • OpensearchClusterPipeline Reference
  • Reference for OpenSearch
  • Views
  • Relationship Diagram
  • Sample Queries
  • Data Lineage
  • Subject Areas
  • Other References
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