[GitHub] [sedona] jiayuasu merged pull request #749: [SEDONA-221] Outer join throws NPE for null geometries.

2023-01-20 Thread GitBox
jiayuasu merged PR #749: URL: https://github.com/apache/sedona/pull/749 -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail:

[GitHub] [sedona] jiayuasu merged pull request #748: [SEDONA-233] Incorrect results for several joins in a single stage

2023-01-20 Thread GitBox
jiayuasu merged PR #748: URL: https://github.com/apache/sedona/pull/748 -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail:

[GitHub] [sedona] umartin opened a new pull request, #749: [SEDONA-221] Outer join throws NPE for null geometries.

2023-01-20 Thread GitBox
umartin opened a new pull request, #749: URL: https://github.com/apache/sedona/pull/749 ## Did you read the Contributor Guide? - Yes, I have read [Contributor Rules](https://sedona.apache.org/community/rule/) and [Contributor Development

Re: How to use raster GeoTiff

2023-01-20 Thread Martin Andersson
Yes, there are lots of things to consider when processing large blobs in Spark. What I have come to learn: - Do the spatial join (points and the geotiff extent) with as few columns as possible. Ideally an id only for the geotiff. After that join you can join back the geotiff using the id. -

Re: How to use raster GeoTiff

2023-01-20 Thread Pedro Mano Fernandes
Thanks Martin, it sounds promising. I'll actually give it a try before going with geotiff conversions. I'm foreseeing some concerns, though: - I'm afraid it won't be optimal for a big geotiff - I may have to split the geotiff into smaller geotiffs - I wonder how the spatial partitioning