Table: ndb.depthreferencesystem#
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 | 8 |
| Total Size | 64 kB |
| Table Size | 8192 bytes |
| Indexes Size | 16 kB |
Relationships#
Primary Key: depthreferencesystemid
Foreign Keys:
depthreferencepublicationid→publications.publicationid
Referenced By:
TODO: Document which tables reference this table (will be auto-detected in validation).
Data Dictionary#
| Column | Type | Nullable | Default | Constraints | Description |
|---|---|---|---|---|---|
depthreferencesystemid |
integer | ✗ | nextval('ndb.depthreference... |
PRIMARY KEY | |
depthreference |
text | ✓ | - |
- | |
depthreferencenotes |
text | ✓ | - |
- | |
depthreferencepublicationid |
integer | ✓ | - |
- |
TODO: Review column descriptions and add comments where missing.
Usage Examples#
Example 1: Basic Selection#
-- Get recent records from depthreferencesystem
SELECT *
FROM depthreferencesystem
ORDER BY depthreferencesystemid DESC
LIMIT 10;
Purpose: Retrieve the 10 most recent records from depthreferencesystem
Example 2: Count Records#
Purpose: Get the total number of records in depthreferencesystem
Example 3: Join with publications#
-- Join with related table
SELECT
t1.*,
t2.*
FROM depthreferencesystem t1
INNER JOIN publications t2
ON t1.depthreferencepublicationid = t2.publicationid
LIMIT 100;
Purpose: Retrieve depthreferencesystem records with related data from publications
Example 4: Aggregate Data#
-- Aggregate records by depthreference
SELECT
depthreference,
COUNT(*) as count
FROM depthreferencesystem
GROUP BY depthreference
ORDER BY count DESC
LIMIT 10;
Purpose: Count records grouped by depthreference
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
Related Documentation#
TODO: Link to: - Related API endpoints - Data collection procedures - Analysis notebooks or reports that use this table - External ontologies or standards