remipham opened a new issue, #1789: URL: https://github.com/apache/sedona/issues/1789
Hi, I'd like to do a distance join between a DataFrame A that has 30M polygons and a DataFrame B with 3M polygons. I'd like to get, for each of the polygons of DataFrame A, the ones from DataFrame B within 100 meters. Here's my query: ``` SELECT a.id, b.id, ST_Distance(a.polygon_geometry, b.polygon_geometry) as distance, FROM dataframea as a, dataframeb as b WHERE ST_Distance(a.polygon_geometry, b.polygon_geometry) <= 100; ``` It seems as the KNNQuery doesn't use the polygons so I had to implement it manually. But it takes ages to run this query with not that many rows. Are there any ways to optimise it? Best regards, Remi -- 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: dev-unsubscr...@sedona.apache.org.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org