* the result you are getting
* the expected result, preferably a link to the OSM object you want to find,
otherwise an address that is as precise as possible
-
- To get the link to the OSM object, you can try the following:
-
+
+To get the link to the OSM object, you can try the following:
+
* go to https://openstreetmap.org
* zoom to the area of the map where you expect the result and
zoom in as much as possible
* find the object of interest in the list that appears on the left side
* click on the object and report the URL back that the browser shows
-### When Reporting Problems with your Installation...
+### When Reporting Bugs...
Please add the following information to your issue:
if you run from the git repo, the output of `git rev-parse HEAD`)
* (if applicable) exact command line of the command that was causing the issue
+Bug reports that do not include extensive information about your system,
+about the problem and about what you have been trying to debug the problem
+will be closed.
## Workflow for Pull Requests
@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
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.
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.
address | 59h | 500 GB | 260 GB
full | 80h | 575 GB | 300 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
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.
-
-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:
+***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.
+
+### 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
+blockes 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.
+
+## 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
### Hardware
A minimum of 2GB of RAM is required or installation will fail. For a full
-planet import 32GB of RAM or more are strongly recommended.
+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 700GB of hard disk space
+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.
-On a 6-core machine with 32GB RAM and SSDs the import of a full planet takes
-a bit more than 2 days. Without SSDs 7-8 days are more realistic.
-
+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.
## Setup of the server
make best use of your hardware. You should tune the following parameters in
your `postgresql.conf` file.
- shared_buffers (2GB)
- maintenance_work_mem (10GB)
- work_mem (50MB)
- effective_cache_size (24GB)
+ shared_buffers = 2GB
+ maintenance_work_mem = (10GB)
+ autovacuum_work_mem = 2GB
+ work_mem = (50MB)
+ effective_cache_size = (24GB)
synchronous_commit = off
checkpoint_segments = 100 # only for postgresql <= 9.4
+ max_wal_size = 1GB # postgresql > 9.4
checkpoint_timeout = 10min
checkpoint_completion_target = 0.9
The numbers in brackets behind some parameters seem to work fine for
-32GB RAM machine. Adjust to your setup.
+64GB RAM machine. Adjust to your setup. A higher number for `max_wal_size`
+means that PostgreSQL needs to run checkpoints less often but it does require
+the additional space on your disk.
For the initial import, you should also set:
projects / nominatim.git / commitdiff