kanchanchy commented on code in PR #612:
URL: https://github.com/apache/incubator-sedona/pull/612#discussion_r854569930
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sql/src/main/scala/org/apache/spark/sql/sedona_sql/io/GeotiffFileFormat.scala:
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@@ -101,4 +126,123 @@ private[spark] class GeotiffFileFormat extends FileFormat
with DataSourceRegiste
}
}
}
+
+ private def isValidGeoTiffSchema(options: Map[String, String], dataSchema:
StructType): Boolean = {
+ val colImage = options.getOrElse("key_image", "image")
+ val fields = dataSchema.fieldNames
+ if (fields.contains(colImage) ){
+ val schemaFields =
dataSchema.fields(dataSchema.fieldIndex(colImage)).dataType.asInstanceOf[StructType]
+ if (schemaFields.fieldNames.length != 6) return false
+ }
+ else {
+ if (fields.length != 6) return false
+ }
+ true
+ }
+
+}
+
+// class for writing geoTiff images
+private class GeotiffFileWriter(savePath: String,
+ options: Map[String, String],
+ dataSchema: StructType,
+ context: TaskAttemptContext) extends
OutputWriter {
+
+ // set writing parameters
+ private val DEFAULT_WRITE_PARAMS: GeoTiffWriteParams = new
GeoTiffWriteParams()
+ DEFAULT_WRITE_PARAMS.setCompressionMode(ImageWriteParam.MODE_EXPLICIT)
+ DEFAULT_WRITE_PARAMS.setCompressionType("LZW")
+ DEFAULT_WRITE_PARAMS.setCompressionQuality(0.75F)
+ DEFAULT_WRITE_PARAMS.setTilingMode(ImageWriteParam.MODE_EXPLICIT)
+ DEFAULT_WRITE_PARAMS.setTiling(512, 512)
+
+ private val hfs = new Path(savePath).getFileSystem(context.getConfiguration)
+
+ override def write(row: InternalRow): Unit = {
+ // retrieving the metadata of a geotiff image
+ var rowFields: InternalRow = row
+ var schemaFields: StructType = dataSchema
+ val fields = dataSchema.fieldNames
+
+ val colImage = options.getOrElse("key_image", "image")
+ val colOrigin = options.getOrElse("key_origin", "origin")
+ val colBands = options.getOrElse("key_n_bands", "nBands")
+ val colWidth = options.getOrElse("key_width", "width")
+ val colHeight = options.getOrElse("key_height", "height")
+ val colWkt = options.getOrElse("key_wkt", "wkt")
+ val colData = options.getOrElse("key_data", "data")
+
+ if (fields.contains(colImage)) {
+ schemaFields =
dataSchema.fields(dataSchema.fieldIndex(colImage)).dataType.asInstanceOf[StructType]
+ rowFields = row.getStruct(dataSchema.fieldIndex(colImage), 6)
+ }
+
+ val tiffOrigin = rowFields.getString(schemaFields.fieldIndex(colOrigin))
+ val tiffBands = rowFields.getInt(schemaFields.fieldIndex(colBands))
+ val tiffWidth = rowFields.getInt(schemaFields.fieldIndex(colWidth))
+ val tiffHeight = rowFields.getInt(schemaFields.fieldIndex(colHeight))
+ val tiffGeometry = rowFields.getString(schemaFields.fieldIndex(colWkt))
Review Comment:
Solved. getAs[ArrayData] and then GeometrySerializer.deserialize()
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