|Supported Operating System||Notes|
MrSID raster images require libpng12.so on this operating system.
|Oracle Linux 7.x|
|Oracle Linux 8.x|
|Oracle Linux 9.x||MrSID raster images are not supported on this operating system.|
|Red Hat Enterprise Linux 7.x|
|Red Hat Enterprise Linux 8.x|
|Red Hat Enterprise Linux 9.x||MrSID raster images are not supported on this operating system.|
|Ubuntu 20.04 LTS||
MrSID raster images are not supported on this operating system.
|Ubuntu 22.04 LTS||MrSID raster images are not supported on this operating system.|
Unsupported Operating Systems by module
Specific modules do not support Linux operating systems listed here.
|Module||Unsupported Operating System|
|Spectrum SAP||Ubuntu 20.04 LTS, Ubuntu 22.04 LTS|
|Spectrum Universal Addressing||
Ubuntu 20.04 LTS, Ubuntu 22.04 LTS
- Upgrade memory requirement - You must have a minimum of 8GB of RAM available to run the upgrade.
- Basic memory requirement: 16 GB
- Data Normalization and Universal Name require additional memory if you use these name databases:
- Arabic Plus Pack: 5.5 GB
- Asian Plus Pack - Chinese: 32 MB
- Asian Plus Pack - Japanese: 1.6 GB
- Asian Plus Pack - Korean: 8 MB
- Core Names: 1.1 GB
- Java 11 JDK (64-bit)
- For Linux systems, a minimum value for file descriptors is required. Review the current Installation Guide for recommended settings. This can be set by running the ulimit command: ulimit –n limitsettingNote: Do not set ulimit to unlimited. Doing so may cause issues with system resources and security alerts that will cause the installation to fail.
- Set the file size limit to 2 GB. To set the file size limit, use the ulimit command: ulimit -f 4194304
- For CentOS and Ubuntu, you must increase the maximum number of memory map areas. To do this, open the /etc/sysctl.conf file and set vm.max_map_count to 262144. Then, reboot the system. and run sysctl vm.max_map_count to verify that the setting has been updated.
System Requirements for Global Geocoding
- The Global Geocoding system requirements:
- minimum: 16 GB RAM, 4 CPU, 100 GB storage
- recommended 32 GB RAM, 8 CPU, 200 GB storage, sufficient for all datasets.
The amount of RAM will depend on how many users are on the system and how many datasets are loaded.
- Spark 2.0.1 or later