cd $NOMINATIM_SOURCE_DIR/data
wget https://www.nominatim.org/data/gb_postcode_data.sql.gz
+## Choosing the Data to Import
+
+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
+use case there are various ways to reduce the amount of data imported. This
+section discusses these methods. They can also be combined.
+
+### Using an extract
+
+If you only need geocoding for a smaller region, then precomputed extracts
+are a good way to reduce the database size and import time.
+[Geofabrik](https://download.geofabrik.de) offers extracts for most countries.
+They even have daily updates which can be used with the update process described
+below. There are also
+[other providers for extracts](https://wiki.openstreetmap.org/wiki/Planet.osm#Downloading).
+
+Please be aware that some extracts are not cut exactly along the country
+boundaries. As a result some parts of the boundary may be missing which means
+that cannot compute the areas for some administrative areas.
+
+### Dropping Data Required for Dynamic Updates
+
+About half of the data in Nominatim's database is not really used for serving
+the API. It is only there to allow the data to be updated from the latest
+changes from OSM. For many uses these dynamic updates are not really required.
+If you don't plan to apply updates, the dynamic part of the database can be
+safely dropped using the following command:
+
+```
+./utils/setup.php --drop
+```
+
+Note that you still need to provide for sufficient disk space for the initial
+import. So this option is particularly interesting if you plan to transfer the
+database or reuse the space later.
+
+### Reverse-only Imports
+
+If you only want to use the Nominatim database for reverse lookups or
+if you plan to use the installation only for exports to a
+[photon](http://photon.komoot.de/) database, then you can set up a database
+without search indexes. Add `--reverse-only` to your setup command above.
+
+This saves about 5% of disk space.
+
+### Filtering Imported Data
+
+Nominatim normally sets up a full search database containing administrative
+boundaries, places, streets, addresses and POI data. There are also other
+import styles available which only read selected data:
+
+* **settings/import-admin.style**
+ Only import administrative boundaries and places.
+* **settings/import-street.style**
+ Like the admin style but also adds streets.
+* **settings/import-address.style**
+ Import all data necessary to compute addresses down to house number level.
+* **settings/import-full.style**
+ Default style that also includes points of interest.
+
+The style can be changed with the configuration `CONST_Import_Style`.
+
+To give you an idea of the impact of using the different style, 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
+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.
+
+style | Import time | DB size | after drop
+----------|--------------|------------|------------
+admin | 5h | 190 GB | 20 GB
+street | 42h | 400 GB | 180 GB
+address | 59h | 500 GB | 260 GB
+full | 80h | 575 GB | 300 GB
+
+You can also customize the styles further. For an description of the
+style format see [the developement section](../develop/Import.md).
## Initial import of the data
-**Important:** first try the import with a small excerpt, for example from
+**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:
## Installing Tiger housenumber data for the US
-Nominatim is able to use the official TIGER address set to complement the
-OSM house number data in the US. You can add TIGER data to your own Nominatim
-instance by following these steps:
-
- 1. Install the GDAL library and python bindings and the unzip tool
-
- * Ubuntu: `sudo apt-get install python-gdal unzip`
- * CentOS: `sudo yum install gdal-python unzip`
+Nominatim is able to use the official [TIGER](https://www.census.gov/geo/maps-data/data/tiger.html)
+address set to complement the OSM house number data in the US. You can add
+TIGER data to your own Nominatim instance by following these steps. The
+entire US adds about 10GB to your database.
- 2. Get preprocessed TIGER 2017 data and unpack it into the
+ 1. Get preprocessed TIGER 2018 data and unpack it into the
data directory in your Nominatim sources:
cd Nominatim/data
- wget https://nominatim.org/data/tiger2017-nominatim-preprocessed.tar.gz
- tar xf tiger2017-nominatim-preprocessed.tar.gz
+ wget https://nominatim.org/data/tiger2018-nominatim-preprocessed.tar.gz
+ tar xf tiger2018-nominatim-preprocessed.tar.gz
- 3. Import the data into your Nominatim database:
+ `data-source/us-tiger/README.md` explains how the data got preprocessed.
+
+ 2. Import the data into your Nominatim database:
./utils/setup.php --import-tiger-data
- 4. Enable use of the Tiger data in your `settings/local.php` by adding:
+ 3. Enable use of the Tiger data in your `settings/local.php` by adding:
@define('CONST_Use_US_Tiger_Data', true);
- 5. Apply the new settings:
+ 4. Apply the new settings:
```sh
./utils/setup.php --create-functions --enable-diff-updates --create-partition-functions
```
-The entire US adds about 10GB to your database.
-
-You can also process the data from the original TIGER data to create the
-SQL files, Nominatim needs for the import:
-
- 1. Get the TIGER 2017 data. You will need the EDGES files
- (3,234 zip files, 11GB total).
-
- wget -r ftp://ftp2.census.gov/geo/tiger/TIGER2017/EDGES/
-
- 2. Convert the data into SQL statements:
-
- ./utils/imports.php --parse-tiger <tiger edge data directory>
-
-Be warned that this can take quite a long time. After this process is finished,
-the same preprocessed files as above are available in `data/tiger`.
## Updates