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
