Oharra
Orrialde honetara sartzeak baimena behar du. Saioa hasteko edo direktorioak aldatzen saia zaitezke.
Orrialde honetara sartzeak baimena behar du. Direktorioak aldatzen saia zaitezke.
Importante
Esta característica está en versión preliminar pública.
Analiza el valor binario o de cadena de entrada y devuelve el valor geometry correspondiente.
None se devuelve si la entrada no es válida.
Para obtener la función SQL de Databricks correspondiente, consulte try_to_geometry function.
Syntax
from pyspark.databricks.sql import functions as dbf
dbf.try_to_geometry(col=<col>)
Parámetros
| Parámetro | Tipo | Description |
|---|---|---|
col |
pyspark.sql.Column o str |
Valor de cadena en formato WKT o GeoJSON, o un valor BINARY en formato WKB o EWKB que representa un valor Geometry . |
Examples
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([('POINT Z (3 4 5)',)], ['wkt'])
df.select(dbf.st_asewkt(dbf.try_to_geometry('wkt')).alias('result')).collect()
[Row(result='POINT Z (3 4 5)')]
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([('{"type":"MultiPoint","coordinates":[[3,4,5]]}',)], ['geojson'])
df.select(dbf.st_asewkt(dbf.try_to_geometry('geojson')).alias('result')).collect()
[Row(result='SRID=4326;MULTIPOINT Z ((3 4 5))')]
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([(bytes.fromhex('01ef0300000100000001e9030000000000000000084000000000000010400000000000001440'),)], ['wkb'])
df.select(dbf.st_asewkt(dbf.try_to_geometry('wkb')).alias('result')).collect()
[Row(result='GEOMETRYCOLLECTION Z (POINT Z (3 4 5))')]
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([(bytes.fromhex('01020000a0110f000002000000000000000000084000000000000010400000000000001440000000000000084000000000000010400000000000001440'),)], ['ewkb'])
df.select(dbf.st_asewkt(dbf.try_to_geometry('ewkb')).alias('result')).collect()
[Row(result='SRID=3857;LINESTRING Z (3 4 5,3 4 5)')]
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([('invalid wkt',)], ['wkt'])
df.select(dbf.st_asewkt(dbf.try_to_geometry('wkt')).alias('result')).collect()
[Row(result=None)]