Server
Operating Systems
Supported Operating System | Notes |
---|---|
CentOS 7.x |
MrSID raster images require libpng12.so on this operating system. |
CentOS 8.x |
MrSID raster images require libpng12.so on this operating system. |
Oracle Linux 7.x | |
Oracle Linux 8.x | |
Red Hat Enterprise Linux 7.x | |
Red Hat Enterprise Linux 8.x | |
SUSE Enterprise Linux Server 12.x
|
|
SUSE Enterprise Linux Server 12.x SP5 | |
SUSE Enterprise Linux Server 15 SP1
|
|
SUSE Enterprise Linux Server 15 SP3 | |
SUSE Enterprise Linux Server 15 SP5 | |
Ubuntu 16.04 LTS |
MrSID raster images require libpng12.deb and libjpeg62 on this operating system. |
Ubuntu 18.04 LTS |
MrSID raster images require libpng12.deb and libjpeg62 on this operating system. |
Ubuntu 20.04 LTS |
MrSID raster images require libpng12.deb and libjpeg62 on this operating system. |
Unsupported Operating Systems by module
All modules support the Windows operating systems listed in the previous section.
The following table shows the Linux operating systems that are not supported for specific modules.
Module | Not Supported |
---|---|
Spectrum Enterprise Geocoding (U.S.) |
SUSE Enterprise Linux Server 12.x Ubuntu 16.04 LTS, Ubuntu 18.04 LTS, Ubuntu 20.04 LTS |
Spectrum Enterprise Tax |
SUSE Enterprise Linux Server 12.x, SUSE Enterprise Linux Server 15.x |
Spectrum GeoEnrichment |
SUSE Enterprise Linux Server 12.x, SUSE Enterprise Linux Server 15 SP1 |
Spectrum Global Geocoding |
SUSE Enterprise Linux Server 12.x, SUSE Enterprise Linux Server 15 SP1 (not supported for U.S. geocoder) |
Spectrum SAP | Ubuntu 16.04 LTS , Ubuntu 18.04 LTS, Ubuntu 20.04 LTS |
Spectrum Universal Addressing |
Ubuntu 16.04 LTS, Ubuntu 18.04 LTS, Ubuntu 20.04 LTS |
Disk Space
New Installation | Upgrade |
---|---|
|
|
Memory
- Upgrade memory requirement - You must have a minimum of 8GB of RAM 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
-
The memory allocation for the Machine Learning should be three to four times the size of the input file used in jobs where models are created. We recommend that the minimum memory setting should be at least 1 GB. After installation of this release, configure minimum and maximum memory settings for Machine Learning on the Configuration Settings tab of the Machine Learning Model Management application.
Java Version
- Java 11 JDK (64-bit)
Additional Requirements
- For Linux systems, a minimum value for file descriptors is required. 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 Enterprise Geocoding and Global Geocoding
- The Enterprise Geocoding and 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.
Requirements for the Big Data Integration
- Hadoop version 2.6 or later
- Spark 2.0.1 or later