@define('CONST_Osm2pgsql_Flatnode_File', '/path/to/flatnode.file');
Replace the second part with a suitable path on your system and make sure
-the directory exists. There should be at least 40GB of free space.
+the directory exists. There should be at least 64GB of free space.
## Downloading additional data
-### Wikipedia rankings
+### Wikipedia/Wikidata rankings
Wikipedia can be used as an optional auxiliary data source to help indicate
the importance of OSM features. Nominatim will work without this information
This data is available as a binary download:
cd $NOMINATIM_SOURCE_DIR/data
- wget https://www.nominatim.org/data/wikipedia_article.sql.bin
- wget https://www.nominatim.org/data/wikipedia_redirect.sql.bin
+ wget https://www.nominatim.org/data/wikimedia-importance.sql.gz
-Combined the 2 files are around 1.5GB and add around 30GB to the install
-size of Nominatim. They also increase the install time by an hour or so.
+The file is about 400MB and adds around 4GB to Nominatim database.
-*NOTE:* you'll need to download the Wikipedia rankings before performing
-the initial import of the data if you want the rankings applied to the
-loaded data.
+!!! tip
+ If you forgot to download the wikipedia rankings, you can also add
+ importances after the import. Download the files, then run
+ `./utils/setup.php --import-wikipedia-articles`
+ and `./utils/update.php --recompute-importance`.
### Great Britain, USA postcodes
In its default setup Nominatim is configured to import the full OSM data
set for the entire planet. Such a setup requires a powerful machine with
-at least 32GB of RAM and around 800GB of SSD hard disks. Depending on your
+at least 64GB of RAM and around 800GB of SSD hard disks. Depending on your
use case there are various ways to reduce the amount of data imported. This
section discusses these methods. They can also be combined.
Import all data necessary to compute addresses down to house number level.
* **settings/import-full.style**
Default style that also includes points of interest.
+* **settings/import-extratags.style**
+ Like the full style but also adds most of the OSM tags into the extratags
+ column.
The style can be changed with the configuration `CONST_Import_Style`.
To give you an idea of the impact of using the different styles, the table
below gives rough estimates of the final database size after import of a
2018 planet and after using the `--drop` option. It also shows the time
-needed for the import on a machine with 32GB RAM, 4 CPUS and SSDs. Note that
+needed for the import on a machine with 64GB RAM, 4 CPUS and SSDs. Note that
the given sizes are just an estimate meant for comparison of style requirements.
Your planet import is likely to be larger as the OSM data grows with time.
street | 42h | 400 GB | 180 GB
address | 59h | 500 GB | 260 GB
full | 80h | 575 GB | 300 GB
+extratags | 80h | 585 GB | 310 GB
-You can also customize the styles further. For an description of the
+You can also customize the styles further. For a description of the
style format see [the development section](../develop/Import.md).
## Initial import of the data
-**Important:** first try the import with a small extract, for example from
-[Geofabrik](https://download.geofabrik.de).
+!!! danger "Important"
+ First try the import with a small extract, for example from
+ [Geofabrik](https://download.geofabrik.de).
Download the data to import and load the data with the following command
from the build directory:
```sh
-./utils/setup.php --osm-file <data file> --all [--osm2pgsql-cache 28000] 2>&1 | tee setup.log
+./utils/setup.php --osm-file <data file> --all 2>&1 | tee setup.log
```
-The `--osm2pgsql-cache` parameter is optional but strongly recommended for
-planet imports. It sets the node cache size for the osm2pgsql import part
-(see `-C` parameter in osm2pgsql help). As a rule of thumb, this should be
-about the same size as the file you are importing but never more than
-2/3 of RAM available. If your machine starts swapping reduce the size.
+***Note for full planet imports:*** Even on a perfectly configured machine
+the import of a full planet takes at least 2 days. Once you see messages
+with `Rank .. ETA` appear, the indexing process has started. This part takes
+the most time. There are 30 ranks to process. Rank 26 and 30 are the most complex.
+They take each about a third of the total import time. If you have not reached
+rank 26 after two days of import, it is worth revisiting your system
+configuration as it may not be optimal for the import.
-Computing word frequency for search terms can improve the performance of
-forward geocoding in particular under high load as it helps PostgreSQL's query
-planner to make the right decisions. To recompute word counts run:
+### Notes on memory usage
+
+In the first step of the import Nominatim uses osm2pgsql to load the OSM data
+into the PostgreSQL database. This step is very demanding in terms of RAM usage.
+osm2pgsql and PostgreSQL are running in parallel at this point. PostgreSQL
+blocks at least the part of RAM that has been configured with the
+`shared_buffers` parameter during [PostgreSQL tuning](Installation#PostgreSQL_tuning)
+and needs some memory on top of that. osm2pgsql needs at least 2GB of RAM for
+its internal data structures, potentially more when it has to process very large
+relations. In addition it needs to maintain a cache for node locations. The size
+of this cache can be configured with the parameter `--osm2pgsql-cache`.
+
+When importing with a flatnode file, it is best to disable the node cache
+completely and leave the memory for the flatnode file. Nominatim will do this
+by default, so you do not need to configure anything in this case.
+
+For imports without a flatnode file, set `--osm2pgsql-cache` approximately to
+the size of the OSM pbf file (in MB) you are importing. Make sure you leave
+enough RAM for PostgreSQL and osm2pgsql as mentioned above. If the system starts
+swapping or you are getting out-of-memory errors, reduce the cache size or
+even consider using a flatnode file.
+
+### Verify import finished
+
+Run this script to verify all required tables and indices got created successfully.
+
+```sh
+./utils/check_import_finished.php
+```
+
+
+## Tuning the database
+
+Accurate word frequency information for search terms helps PostgreSQL's query
+planner to make the right decisions. Recomputing them can improve the performance
+of forward geocoding in particular under high load. To recompute word counts run:
```sh
./utils/update.php --recompute-word-counts
./utils/specialphrases.php --wiki-import > specialphrases.sql
psql -d nominatim -f specialphrases.sql
-Note that this command downloads the phrases from the wiki link above.
+Note that this command downloads the phrases from the wiki link above. You
+need internet access for the step.
## Installing Tiger housenumber data for the US
The following section describes how to keep it up-to-date with Pyosmium.
For a list of other methods see the output of `./utils/update.php --help`.
+!!! warning
+ If you have configured a flatnode file for the import, then you
+ need to keep this flatnode file around for updates as well.
+
#### Installing the newest version of Pyosmium
It is recommended to install Pyosmium via pip. Make sure to use python3.
./utils/update.php --import-osmosis-all
-(Note that even though the old name "import-osmosis-all" has been kept for compatibility reasons, Osmosis is not required to run this - it uses pyosmium behind the scenes.)
+(Note that even though the old name "import-osmosis-all" has been kept for
+compatibility reasons, Osmosis is not required to run this - it uses pyosmium
+behind the scenes.)
If you have imported multiple country extracts and want to keep them
up-to-date, have a look at the script in
projects / nominatim.git / blobdiff