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Important
This feature is in Public Preview.
Returns the input Geography or Geometry value in GeoJSON format.
For the corresponding Databricks SQL function, see st_asgeojson function.
Syntax
from pyspark.databricks.sql import functions as dbf
dbf.st_asgeojson(col=<col>)
Parameters
| Parameter | Type | Description |
|---|---|---|
col |
pyspark.sql.Column or str |
A geospatial value, either a Geography or Geometry. |
Examples
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([('POINT Z (2.718281 3.141592 100)',)], ['wkt'])
df.select(dbf.st_asgeojson(dbf.st_geogfromtext('wkt')).alias('result')).collect()
[Row(result='{"type":"Point","coordinates":[2.718281,3.141592,100]}')]