Predicate (Snowflake)
Note
Please always keep the schema name SEDONA
(e.g., SEDONA.ST_GeomFromWKT
) when you use Sedona functions to avoid conflicting with Snowflake's built-in functions.
ST_Contains¶
Introduction: Return true if A fully contains B
Format: ST_Contains (A:geometry, B:geometry)
SQL example:
SELECT *
FROM pointdf
WHERE ST_Contains(ST_PolygonFromEnvelope(1.0,100.0,1000.0,1100.0), pointdf.arealandmark)
ST_Crosses¶
Introduction: Return true if A crosses B
Format: ST_Crosses (A:geometry, B:geometry)
SQL example:
SELECT *
FROM pointdf
WHERE ST_Crosses(pointdf.arealandmark, ST_PolygonFromEnvelope(1.0,100.0,1000.0,1100.0))
ST_Disjoint¶
Introduction: Return true if A and B are disjoint
Format: ST_Disjoint (A:geometry, B:geometry)
SQL example:
SELECT *
FROM geom
WHERE ST_Disjoinnt(geom.geom_a, geom.geom_b)
ST_DWithin¶
Introduction: Returns true if 'leftGeometry' and 'rightGeometry' are within a specified 'distance'. This function essentially checks if the shortest distance between the envelope of the two geometries is <= the provided distance.
Format: ST_DWithin (leftGeometry: Geometry, rightGeometry: Geometry, distance: Double)
SQL Example:
SELECT ST_DWithin(ST_GeomFromWKT('POINT (0 0)'), ST_GeomFromWKT('POINT (1 0)'), 2.5)
Output:
true
ST_Equals¶
Introduction: Return true if A equals to B
Format: ST_Equals (A:geometry, B:geometry)
SQL example:
SELECT *
FROM pointdf
WHERE ST_Equals(pointdf.arealandmark, ST_PolygonFromEnvelope(1.0,100.0,1000.0,1100.0))
ST_Intersects¶
Introduction: Return true if A intersects B
Format: ST_Intersects (A:geometry, B:geometry)
SQL example:
SELECT *
FROM pointdf
WHERE ST_Intersects(ST_PolygonFromEnvelope(1.0,100.0,1000.0,1100.0), pointdf.arealandmark)
ST_OrderingEquals¶
Introduction: Returns true if the geometries are equal and the coordinates are in the same order
Format: ST_OrderingEquals(A: geometry, B: geometry)
SQL example 1:
SELECT ST_OrderingEquals(ST_GeomFromWKT('POLYGON((2 0, 0 2, -2 0, 2 0))'), ST_GeomFromWKT('POLYGON((2 0, 0 2, -2 0, 2 0))'))
Output: true
SQL example 2:
SELECT ST_OrderingEquals(ST_GeomFromWKT('POLYGON((2 0, 0 2, -2 0, 2 0))'), ST_GeomFromWKT('POLYGON((0 2, -2 0, 2 0, 0 2))'))
Output: false
ST_Overlaps¶
Introduction: Return true if A overlaps B
Format: ST_Overlaps (A:geometry, B:geometry)
SQL example:
SELECT *
FROM geom
WHERE ST_Overlaps(geom.geom_a, geom.geom_b)
ST_Relate¶
Introduction: The first variant of the function computes and returns the Dimensionally Extended 9-Intersection Model (DE-9IM) matrix string representing the spatial relationship between the two input geometry objects.
The second variant of the function evaluates whether the two input geometries satisfy a specific spatial relationship defined by the provided intersectionMatrix
pattern.
Note
It is important to note that this function is not optimized for use in spatial join operations. Certain DE-9IM relationships can hold true for geometries that do not intersect or are disjoint. As a result, it is recommended to utilize other dedicated spatial functions specifically optimized for spatial join processing.
Format:
ST_Relate(geom1: Geometry, geom2: Geometry)
ST_Relate(geom1: Geometry, geom2: Geometry, intersectionMatrix: String)
SQL Example
SELECT ST_Relate(
ST_GeomFromWKT('LINESTRING (1 1, 5 5)'),
ST_GeomFromWKT('POLYGON ((3 3, 3 7, 7 7, 7 3, 3 3))')
)
Output:
1010F0212
SQL Example
SELECT ST_Relate(
ST_GeomFromWKT('LINESTRING (1 1, 5 5)'),
ST_GeomFromWKT('POLYGON ((3 3, 3 7, 7 7, 7 3, 3 3))'),
"1010F0212"
)
Output:
true
ST_RelateMatch¶
Introduction: This function tests the relationship between two Dimensionally Extended 9-Intersection Model (DE-9IM) matrices representing geometry intersections. It evaluates whether the DE-9IM matrix specified in matrix1
satisfies the intersection pattern defined by matrix2
. The matrix2
parameter can be an exact DE-9IM value or a pattern containing wildcard characters.
Note
It is important to note that this function is not optimized for use in spatial join operations. Certain DE-9IM relationships can hold true for geometries that do not intersect or are disjoint. As a result, it is recommended to utilize other dedicated spatial functions specifically optimized for spatial join processing.
Format: ST_RelateMatch(matrix1: String, matrix2: String)
SQL Example:
SELECT ST_RelateMatch('101202FFF', 'TTTTTTFFF')
Output:
true
ST_Touches¶
Introduction: Return true if A touches B
Format: ST_Touches (A:geometry, B:geometry)
SELECT *
FROM pointdf
WHERE ST_Touches(pointdf.arealandmark, ST_PolygonFromEnvelope(1.0,100.0,1000.0,1100.0))
ST_Within¶
Introduction: Return true if A is fully contained by B
Format: ST_Within (A:geometry, B:geometry)
SQL example:
SELECT *
FROM pointdf
WHERE ST_Within(pointdf.arealandmark, ST_PolygonFromEnvelope(1.0,100.0,1000.0,1100.0))
ST_Covers¶
Introduction: Return true if A covers B
Format: ST_Covers (A:geometry, B:geometry)
SQL example:
SELECT *
FROM pointdf
WHERE ST_Covers(ST_PolygonFromEnvelope(1.0,100.0,1000.0,1100.0), pointdf.arealandmark)
ST_CoveredBy¶
Introduction: Return true if A is covered by B
Format: ST_CoveredBy (A:geometry, B:geometry)
SQL example:
SELECT *
FROM pointdf
WHERE ST_CoveredBy(pointdf.arealandmark, ST_PolygonFromEnvelope(1.0,100.0,1000.0,1100.0))