Improving performance with pregeneralized features
The feature type may contain a lot of coordinates. Also, if it's not a really big data, the simple vector datasets we use in this recipe contain a large number of vertices:
gisdata=> select sum(ST_NPoints(geom)) from countries; sum -------- 548604
When you're creating a small-scale map, that is, a continent view, it does not make sense to have the GeoServer process all this data to output a really simplified rendering of the shapes. You are just wasting CPU time and degrading the performance of your server.
Having a simplified version of your data for general representation would be more practical, but you also want to have a detailed version of the data when your map goes to middle or large scale. ...
Get GeoServer Cookbook now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.