Geoserver 支持的 JRE 版本
- Java 8 - GeoServer 2.9.x and above (OpenJDK and Oracle JRE tested)
- Java 7 - GeoServer 2.6.x to GeoServer 2.8.x (OpenJDK and Oracle JRE tested)
- Java 6 - GeoServer 2.3.x to GeoServer 2.5.x (Oracle JRE tested)
- Java 5 - GeoServer 2.2.x and earlier (Sun JRE tested)
使用 JAI 和 ImageIO 插件 [X]
Install native JAI and ImageIO extensions [Docker Images]
The Java Advanced Imaging API (JAI) is an advanced image processing library built by Oracle. GeoServer requires JAI to work with coverages and leverages it for WMS output generation. JAI performance is important for all raster processing, which is used heavily in both WMS and WCS to rescale, cut and reproject rasters.
The Java Image I/O Technology (ImageIO) is used for raster reading and writing. ImageIO affects both WMS and WCS for reading raster data, and is very useful (even if there is no raster data involved) for WMS output as encoding is required when writing PNG/GIF/JPEG images.
JAVA_OPT 设置 [O]
Enable the Marlin rasterizer [X]
Set a service strategy [O]
web.xml file of your GeoServer instance.
|SPEED||Serves output right away. This is the fastest strategy, but proper OGC errors are usually omitted.|
|BUFFER||Stores the whole result in memory, and then serves it after the output is complete. This ensures proper OGC error reporting, but delays the response quite a bit and can exhaust memory if the response is large.|
|FILE||Similar to BUFFER, but stores the whole result in a file instead of in memory. Slower than BUFFER, but ensures there won’t be memory issues.|
|PARTIAL-BUFFER||A balance between BUFFER and SPEED, this strategy tries to buffer in memory a few KB of response, then serves the full output.|
Configure service limits [O]
- Set the maximum amount of features returned by each WFS GetFeature request (this can also be set on a per featuretype basis by modifying the info.xml files directly)
- Set the WMS request limits so that no request will consume too much memory or too much time
Cache your data
Use an external data directory
Use a spatial database
Pick the best performing coverage formats
Choose the right format
designed for data exchange: Examples of such formats are GeoTiff, ECW, JPEG 2000 and MrSid. for data rendering and serving: ArcGrid.
Setup Geotiff data for fast rendering
- inner tiling
Handling huge data sets