ST_Segmentize takes a linestring column and a numeric column or value representing maximum segment length and returns an array column. This function creates an array of linestrings from the input linestring by breaking the input linestring into segments that are shorter than or equal to the maximum length specified. The maximum segment length is in the same units as the input geometry.
Function | Syntax |
---|---|
Python | segmentize(linestring, max |
SQL | ST |
Scala | segmentize(linestring, max |
For more details, go to the GeoAnalytics Engine API reference for segmentize.
Examples
from geoanalytics.sql import functions as ST, Linestring
df = spark.createDataFrame([(Linestring([[[0, 0], [1, 0], [2, 0], [3, 0], [4, 0]]]),)],["linestring"])
df.select(ST.segmentize("linestring", max_segment_length=2).alias("segmentize")).show(truncate=False)
+------------------------------------------------------------------+
|segmentize |
+------------------------------------------------------------------+
|[{"paths":[[[0,0],[1,0],[2,0]]]}, {"paths":[[[2,0],[3,0],[4,0]]]}]|
+------------------------------------------------------------------+
Version table
Release | Notes |
---|---|
1.0.0 | Python and SQL functions introduced |
1.5.0 | Scala function introduced |