Table: `ndb.entitydripheight`#

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	123
Total Size	40 kB
Table Size	8192 bytes
Indexes Size	0 bytes

Relationships#

Foreign Keys:

entitydripheightunit → variableunits.variableunitsid
entityid → speleothems.entityid
speleothemdriptypeid → speleothemdriptypes.speleothemdriptypeid

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
`speleothemdriptypeid`	integer	✓	`-`	FOREIGN KEY
`entitydripheight`	real	✓	`-`	-
`entitydripheightunit`	integer	✓	`-`	-

TODO: Review column descriptions and add comments where missing.

Usage Examples#

Example 1: Basic Selection#

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

Purpose: Retrieve the 10 most recent records from entitydripheight

Example 2: Count Records#

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

Purpose: Get the total number of records in entitydripheight

Example 3: Join with variableunits#

-- Join with related table
SELECT 
    t1.*,
    t2.*
FROM entitydripheight t1
INNER JOIN variableunits t2 
    ON t1.entitydripheightunit = t2.variableunitsid
LIMIT 100;

Purpose: Retrieve entitydripheight records with related data from variableunits

Example 4: Aggregate Data#

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

Purpose: Count records grouped by speleothemdriptypeid

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.entitydripheight#