forked from graphhopper/graphhopper
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathDEPRECATED_config.yml
113 lines (87 loc) · 5.06 KB
/
DEPRECATED_config.yml
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
graphhopper:
# OpenStreetMap input file
# datareader.file: some.pbf
##### Vehicles #####
# Possible options: car,foot,bike,bike2,mtb,racingbike,motorcycle (comma separated)
# bike2 takes elevation data into account (like up-hill is slower than down-hill) and requires enabling graph.elevation.provider below
graph.flag_encoders: foot,bike,car
# Enable turn restrictions for car or motorcycle.
# graph.flag_encoders: car|turn_costs=true
graph.bytes_for_flags: 20
##### Elevation #####
# To populate your graph with elevation data use SRTM, default is noop (no elevation)
# graph.elevation.provider: srtm
# default location for cache is /tmp/srtm
# graph.elevation.cache_dir: ./srtmprovider/
# If you have a slow disk or plenty of RAM change the default MMAP to:
# graph.elevation.dataaccess: RAM_STORE
#### Speed, hybrid and flexible mode ####
# By default the speed mode with the 'fastest' weighting is used. Internally a graph preparation via
# contraction hierarchies (CH) is done to speed routing up. This requires more RAM/disc space for holding the
# graph but less for every request. You can also setup multiple weightings, by providing a comma separated list.
prepare.ch.weightings: fastest
# Disable the speed mode. Should be used only with routing.max_visited_nodes or when the hybrid mode is enabled instead
# prepare.ch.weightings: no
# To make CH preparation faster for multiple flagEncoders you can increase the default threads if you have enough RAM.
# Change this setting only if you know what you are doing and if the default worked for you.
# prepare.ch.threads: 1
# The hybrid mode can be enabled with
# prepare.lm.weightings: fastest
# To tune the performance vs. memory usage for the hybrid mode use
# prepare.lm.landmarks: 16
# Make landmark preparation parallel if you have enough RAM. Change this only if you know what you are doing and if the default worked for you.
# prepare.lm.threads: 1
# avoid being stuck in a (oneway) subnetwork, see https://discuss.graphhopper.com/t/93
prepare.min_network_size: 200
prepare.min_one_way_network_size: 200
##### Routing #####
# You can define the maximum visited nodes when routing. This may result in not found connections if there is no
# connection between two points within the given visited nodes. The default is Integer.MAX_VALUE. Useful for flexibility mode
# routing.max_visited_nodes: 1000000
# If enabled, allows a user to run flexibility requests even if speed mode is enabled. Every request then has to include a hint routing.ch.disable=true.
# Attention, non-CH route calculations take way more time and resources, compared to CH routing.
# A possible attacker might exploit this to slow down your service. Only enable it if you need it and with routing.maxVisitedNodes
routing.ch.disabling_allowed: true
# If enabled, allows a user to run flexible mode requests even if the hybrid mode is enabled. Every such request then has to include a hint routing.lm.disable=true.
# routing.lm.disabling_allowed: true
# Control how many active landmarks are picked per default, this can improve query performance
# routing.lm.active_landmarks: 4
# You can limit the max distance between two consecutive waypoints of flexible routing requests to be less or equal
# the given distance in meter. Default is set to 1000km.
routing.non_ch.max_waypoint_distance: 1000000
##### Storage #####
# configure the memory access, use RAM_STORE for well equipped servers (default and recommended)
graph.dataaccess: RAM_STORE
# will write way names in the preferred language (language code as defined in ISO 639-1 or ISO 639-2):
# datareader.preferred_language: en
# Sort the graph after import to make requests roughly ~10% faster. Note that this requires significantly more RAM on import.
# graph.do_sort: true
##### Spatial Rules #####
# Spatial Rules require some configuration and only work with the DataFlagEncoder.
# Spatial Rules require you to provide Polygons in which the rules are enforced
# The line below contains the default location for these rules
# spatial_rules.location: core/files/spatialrules/countries.geo.json
# You can define the maximum BBox for which spatial rules are loaded.
# You might want to do this if you are only importing a small area and don't need rules for other countries.
# Having less rules, might result in a smaller graph. The line below contains the world-wide bounding box, uncomment and adapt to your need.
# spatial_rules.max_bbox: -180,180,-90,90
# Uncomment the following to point /maps to the source directory in the filesystem instead of
# the Java resource path. Helpful for development of the web client.
# Assumes that the web module is the working directory.
#
# assets:
# overrides:
# /maps: web/src/main/resources/assets/
# Dropwizard server configuration
server:
applicationConnectors:
- type: http
port: 8989
# for security reasons bind to localhost
bindHost: localhost
requestLog:
appenders: []
adminConnectors:
- type: http
port: 8990
bindHost: localhost