Hi Philipp. I found this SIDELOADING – INGESTION OF LARGE POINT CLOUDS INTO THE APACHE SPARK BIG DATA ENGINE <https://pdfs.semanticscholar.org/efdd/4c6c50cf31c28581fcd7de5eab318c3cd174.pdf> paper. Geotrellis <https://geotrellis.io/> do use pdal <https://pdal.io/> in geotrellis-pointcloud <https://github.com/geotrellis/geotrellis-pointcloud>, and pdal has a java writer for las files <https://pdal.io/stages/writers.las.html> spark-iqmulus <https://github.com/IGNF/spark-iqmulus> is a Spark Package to read and write PLY, LAS and XYZ lidar point clouds using Spark SQL.
fre. 8. apr. 2022 kl. 18:20 skrev Philipp Kraus < philipp.kraus.flashp...@gmail.com>: > Hello, > > > Am 08.04.2022 um 17:34 schrieb Lalwani, Jayesh <jlalw...@amazon.com>: > > > > What format are you writing the file to? Are you planning on your own > custom format, or are you planning to use standard formats like parquet? > > I’m dealing with geo-spatial data (Apache Sedona), so I have got a data > frame with such information and would like to export it to LAS format (see > https://en.wikipedia.org/wiki/LAS_file_format ) > > > > > Note that Spark can write numeric data in most standard formats. If you > use custom format instead, whoever consumes the data needs to parse your > data. This adds complexity to your and your consumer's code. You will also > need to worry about backward compatibility. > > > > I would suggest that you explore standard formats first before you write > custom code. If you do have to write data in a custom format, udf is a good > way to serialize the data into your format > > The numerical data must be converted into a binary representation of LAS > format specification see > http://www.asprs.org/wp-content/uploads/2019/07/LAS_1_4_r15.pdf section > 2.6, Table 7 > > Thank > > > --------------------------------------------------------------------- > To unsubscribe e-mail: user-unsubscr...@spark.apache.org > > -- Bjørn Jørgensen Vestre Aspehaug 4, 6010 Ålesund Norge +47 480 94 297
