PDEUXA opened a new issue, #945:
URL: https://github.com/apache/sedona/issues/945
Hola Sedona !
## Expected behavior
Serialisation of geom object when collecting data to Pandas or similar
## Actual behavior
Error
```
~/.venv/lib/python3.10/site-packages/pyspark/sql/dataframe.py in take(self,
num)
866 [Row(age=2, name='Alice'), Row(age=5, name='Bob')]
867 """
--> 868 return self.limit(num).collect()
869
870 def tail(self, num: int) -> List[Row]:
~/.venv/lib/python3.10/site-packages/pyspark/sql/dataframe.py in
collect(self)
816 with SCCallSiteSync(self._sc):
817 sock_info = self._jdf.collectToPython()
--> 818 return list(_load_from_socket(sock_info,
BatchedSerializer(CPickleSerializer())))
819
820 def toLocalIterator(self, prefetchPartitions: bool = False) ->
Iterator[Row]:
~/.venv/lib/python3.10/site-packages/pyspark/serializers.py in
load_stream(self, stream)
149 while True:
150 try:
--> 151 yield self._read_with_length(stream)
152 except EOFError:
153 return
~/.venv/lib/python3.10/site-packages/pyspark/serializers.py in
_read_with_length(self, stream)
171 if len(obj) < length:
172 raise EOFError
--> 173 return self.loads(obj)
174
175 def dumps(self, obj):
~/.venv/lib/python3.10/site-packages/pyspark/serializers.py in loads(self,
obj, encoding)
469
470 def loads(self, obj, encoding="bytes"):
--> 471 return cloudpickle.loads(obj, encoding=encoding)
472
473
~/.venv/lib/python3.10/site-packages/pyspark/sql/types.py in <lambda>(*a)
1727 # This is used to unpickle a Row from JVM
1728 def _create_row_inbound_converter(dataType: DataType) -> Callable:
-> 1729 return lambda *a: dataType.fromInternal(a)
1730
1731
~/.venv/lib/python3.10/site-packages/pyspark/sql/types.py in
fromInternal(self, obj)
819 if self._needSerializeAnyField:
820 # Only calling fromInternal function for fields that
need conversion
--> 821 values = [
822 f.fromInternal(v) if c else v
823 for f, v, c in zip(self.fields, obj,
self._needConversion)
~/.venv/lib/python3.10/site-packages/pyspark/sql/types.py in <listcomp>(.0)
820 # Only calling fromInternal function for fields that
need conversion
821 values = [
--> 822 f.fromInternal(v) if c else v
823 for f, v, c in zip(self.fields, obj,
self._needConversion)
824 ]
~/.venv/lib/python3.10/site-packages/pyspark/sql/types.py in
fromInternal(self, obj)
592
593 def fromInternal(self, obj: T) -> T:
--> 594 return self.dataType.fromInternal(obj)
595
596 def typeName(self) -> str: # type: ignore[override]
~/.venv/lib/python3.10/site-packages/pyspark/sql/types.py in
fromInternal(self, obj)
879 v = self._cachedSqlType().fromInternal(obj)
880 if v is not None:
--> 881 return self.deserialize(v)
882
883 def serialize(self, obj: Any) -> Any:
~/.venv/lib/python3.10/site-packages/sedona/sql/types.py in
deserialize(self, datum)
31
32 def deserialize(self, datum):
---> 33 geom, offset = geometry_serde.deserialize(datum)
34 return geom
35
~/.venv/lib/python3.10/site-packages/sedona/utils/geometry_serde.py in
deserialize(buf)
59 if buf is None:
60 return None
---> 61 return geomserde_speedup.deserialize(buf)
62
63 speedup_enabled = True
TypeError: a bytes-like object is required, not 'list'
```
## Steps to reproduce the problem
I got the following geom,
"0101000020DB0B00004D3F10ED049B4E411318961117634741" leading to this dataframe:
```
root
|-- geom: string (nullable = true)
```
I am applying the following function:
`df.withColumn("geom2", geom_from_wkb(F.unhex(F.col(geom")))`
when I show the dataframe` df.select("geom","geom2").show(2,False)`:
```
+---------------------------------------------+--------------------------------------------------+
|geom2. |geom
|
+---------------------------------------------+--------------------------------------------------+
|POINT (4011529.8520583273
3065390.1373930066)|0101000020DB0B00004D3F10ED049B4E411318961117634741|
|POINT (4009430.840070244 3009943.8371693227)
|0101000020DB0B0000F86B876BEB964E41475D28EBCBF64641|
+---------------------------------------------+--------------------------------------------------+
```
when I take, collect, or toPandas() -> the error is threw.
It was working on a previous Sedona version 1.2.1
## Settings
Sedona version = 1.4.1
Apache Spark version = 3.3.2
Apache Flink version = N/A
API type = Python
Scala version = 2.12
JRE version = 1.8
Python version = 3.10.9
Environment = Standalone
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