jiayuasu commented on issue #1031:
URL: https://github.com/apache/sedona/issues/1031#issuecomment-1738373305
@sebbegg We think the solution is gonna be:
Step 1: force the schema for the native parquet reader. Force the geom field
to be ArrayType Byte:
```
ProductCustomSchema = StructType([
StructField("id_sku", IntegerType(), True),
StructField("flag_piece", StringType(), True),
StructField("flag_weight", StringType(), True),
StructField("ds_sku", StringType(), True),
StructField("qty_pack", FloatType(), True)]),
StructField("geom", ArrayType(Byte), True)])
spark.read.format("parquet").schema(schema).path("")
```
Step 2: if the loader can load the data, you might then need to convert the
ArrayType geom to Binary type using a UDF like this
```
val binUdf = udf((arr:WrappedArray[Byte]) => {arr.to.map(_.toByte)})
df.withColumn("Values",binUdf($"Values")).printSchema
```
Step 3: then use `ST_GeomFromWKB` to create the geom column in Sedona 1.4.1
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