Table: `ndb.entityrelationship`#

Description#

No description available in database.

TODO: Expand this description with: - What data does this table store? - What is the business/research purpose? - How is this data collected or generated? - Are there any important caveats or data quality issues?

Table Structure#

Schema: ndb | Table Comment: No description available

Statistics#

Metric	Value
Row Count	0
Total Size	0 bytes
Table Size	0 bytes
Indexes Size	0 bytes

Relationships#

Foreign Keys:

entityid → speleothems.entityid
entitystatusid → speleothementitystatuses.entitystatusid
referenceentityid → speleothems.entityid

Referenced By:

TODO: Document which tables reference this table (will be auto-detected in validation).

Data Dictionary#

Column	Type	Nullable	Default	Constraints
`entityid`	integer	✓	`-`	FOREIGN KEY, FOREIGN KEY
`entitystatusid`	integer	✓	`-`	FOREIGN KEY
`referenceentityid`	integer	✓	`-`	-

TODO: Review column descriptions and add comments where missing.

Usage Examples#

Example 1: Basic Selection#

-- Get recent records from entityrelationship
SELECT *
FROM entityrelationship
ORDER BY entityid DESC
LIMIT 10;

Purpose: Retrieve the 10 most recent records from entityrelationship

Example 2: Count Records#

-- Count total records
SELECT COUNT(*) as total_records
FROM entityrelationship;

Purpose: Get the total number of records in entityrelationship

Example 3: Join with speleothems#

-- Join with related table
SELECT 
    t1.*,
    t2.*
FROM entityrelationship t1
INNER JOIN speleothems t2 
    ON t1.entityid = t2.entityid
LIMIT 100;

Purpose: Retrieve entityrelationship records with related data from speleothems

Example 4: Aggregate Data#

-- Aggregate records by entitystatusid
SELECT 
    entitystatusid,
    COUNT(*) as count
FROM entityrelationship
GROUP BY entitystatusid
ORDER BY count DESC
LIMIT 10;

Purpose: Count records grouped by entitystatusid

TODO: Add more specific examples relevant to common research questions or operational tasks.

Data Quality Notes#

TODO: Document: - Known data quality issues - Validation rules - Expected data ranges - Update frequency and mechanisms - Any ETL processes that populate this table

Maintenance#

Data Owner: TODO: Assign owner
Update Frequency: TODO: Document frequency
Last Major Schema Change: TODO: Document when schema last changed

Table: ndb.entityrelationship#