add symphony dotenv to prerequisites list

[nominatim.git] / docs / admin / Installation.md

diff --git a/docs/admin/Installation.md b/docs/admin/Installation.md
index b9c78004759ce00059f72888519580fd2c7a4993..a577fdcfabfb7ce31a16e0f33ae7aba4dcd818a5 100644 (file)
--- a/docs/admin/Installation.md
+++ b/docs/admin/Installation.md
@@ -37,22 +37,20 @@ For compiling:
 For running Nominatim:
 
   * [PostgreSQL](https://www.postgresql.org) (9.3+)
-  * [PostGIS](https://postgis.org) (2.2+)
+  * [PostGIS](https://postgis.net) (2.2+)
   * [Python 3](https://www.python.org/)
-  * [Psycopg2](https://initd.org/psycopg)
+  * [Psycopg2](https://www.psycopg.org)
   * [PHP](https://php.net) (7.0 or later)
   * PHP-pgsql
   * PHP-intl (bundled with PHP)
+  * [PHP Symphony Dotenv](https://symfony.com/doc/4.3/components/dotenv.html)
 
 For running continuous updates:
 
   * [pyosmium](https://osmcode.org/pyosmium/) (with Python 3)
 
-For running tests:
-
-  * [behave](http://pythonhosted.org/behave/)
-  * [nose](https://nose.readthedocs.io)
-  * [phpunit](https://phpunit.de) >= 7.3
+For dependencies for running tests and building documentation, see
+the [Development section](../develop/Development-Environment.md).
 
 ### Hardware
 
@@ -60,12 +58,12 @@ A minimum of 2GB of RAM is required or installation will fail. For a full
 planet import 64GB of RAM or more are strongly recommended. Do not report
 out of memory problems if you have less than 64GB RAM.
 
-For a full planet install you will need at least 800GB of hard disk space
-(take into account that the OSM database is growing fast). SSD disks
-will help considerably to speed up import and queries.
+For a full planet install you will need at least 900GB of hard disk space.
+Take into account that the OSM database is growing fast.
+Fast disks are essential. Using NVME disks is recommended.
 
 Even on a well configured machine the import of a full planet takes
-at least 2 days. Without SSDs 7-8 days are more realistic.
+around 2 days. On traditional spinning disks, 7-8 days are more realistic.
 
 ## Tuning the PostgreSQL database