Table: `ndb.faciestypes`#

Description#

Lookup table of Facies Types. Table is referenced by the AnalysisUnits table.

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: Lookup table of Facies Types. Table is referenced by the AnalysisUnits table.

Statistics#

Metric	Value
Row Count	103
Total Size	24 kB
Table Size	8192 bytes
Indexes Size	16 kB

Relationships#

Primary Key: faciesid

No foreign key relationships.

Referenced By:

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

Data Dictionary#

Column	Type	Nullable	Default	Constraints	Description
`faciesid`	integer	✗	`nextval('ndb.seq_faciestype...`	PRIMARY KEY	An arbitrary Facies identification number.
`facies`	character varying(64)	✗	`-`	-	Short Facies description.
`recdatecreated`	timestamp without time zone	✗	`timezone('UTC'::text, now())`	-
`recdatemodified`	timestamp without time zone	✗	`-`	-

TODO: Review column descriptions and add comments where missing.

Usage Examples#

Example 1: Basic Selection#

-- Get recent records from faciestypes
SELECT *
FROM faciestypes
ORDER BY faciesid DESC
LIMIT 10;

Purpose: Retrieve the 10 most recent records from faciestypes

Example 2: Count Records#

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

Purpose: Get the total number of records in faciestypes

Example 3: Filter by Date Range#

-- Get records within a date range
SELECT *
FROM faciestypes
WHERE recdatecreated >= '2024-01-01'
  AND recdatecreated < '2025-01-01'
ORDER BY recdatecreated DESC;

Purpose: Retrieve records from faciestypes within a specific date range

Example 4: Aggregate Data#

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

Purpose: Count records grouped by facies

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.faciestypes#