Caches#

New in version 1.2.0.

MapProxy supports multiple backends to store the internal tiles. The default backend is file based and does not require any further configuration.

Configuration#

You can configure a backend for each cache with the cache option. Each backend has a type and one or more options.

caches:
  mycache:
    sources: [...]
    grids: [...]
    cache:
      type: backendtype
      backendoption1: value
      backendoption2: value

You may add a coverage definition to any cache with the coverage option under cache.

caches:
  mycache:
    sources: [...]
    grids: [...]
    cache:
      type: backendtype
      backendoption1: value
      backendoption2: value
      coverage:
        bbox: [5, 50, 10, 55]
        srs: 'EPSG:4326'

The following backend types are available.

file#

This is the default cache type and it uses a single file for each tile. Available options are:

directory_layout:

The directory layout MapProxy uses to store tiles on disk. Defaults to tc which uses a TileCache compatible directory layout (zz/xxx/xxx/xxx/yyy/yyy/yyy.format). mp uses a directory layout with less nesting (zz/xxxx/xxxx/yyyy/yyyy.format`). tms uses TMS compatible directories (zz/xxxx/yyyy.format). quadkey uses Microsoft Virtual Earth or quadkey compatible directories (see http://msdn.microsoft.com/en-us/library/bb259689.aspx). arcgis uses a directory layout with hexadecimal row and column numbers that is compatible to ArcGIS exploded caches (Lzz/Rxxxxxxxx/Cyyyyyyyy.format).

Note

tms, quadkey and arcgis layout are not suited for large caches, since it will create directories with thousands of files, which most file systems do not handle well.

use_grid_names:

When true MapProxy will use the actual grid name in the path instead of the SRS code. E.g. tiles will be stored in ./cache_data/mylayer/mygrid/ instead of ./cache_data/mylayer/EPSG1234/.

New in version 1.5.0.

directory:

Directory where MapProxy should directly store the tiles. This will not add the cache name or grid name (use_grid_name) to the path. You can use this option to point MapProxy to an existing tile collection (created with gdal2tiles for example).

New in version 1.5.0.

tile_lock_dir:

Directory where MapProxy should write lock files when it creates new tiles for this cache. Defaults to cache_data/tile_locks.

New in version 1.6.0.

image:

See Image Format Options for options.

New in version 2.0.0.

mbtiles#

Use a single SQLite file for this cache. It uses the MBTile specification.

Available options:

filename:

The path to the MBTiles file. Defaults to cachename.mbtiles.

tile_lock_dir:

Directory where MapProxy should write lock files when it creates new tiles for this cache. Defaults to cache_data/tile_locks.

New in version 1.6.0.

You can set the sources to an empty list, if you use an existing MBTiles file and do not have a source.

caches:
  mbtiles_cache:
    sources: []
    grids: [GLOBAL_MERCATOR]
    cache:
      type: mbtiles
      filename: /path/to/bluemarble.mbtiles

Note

The MBTiles format specification does not include any timestamps for each tile and the seeding function is limited therefore. If you include any refresh_before time in a seed task, all tiles will be recreated regardless of the value. The cleanup process does not support any remove_before times for MBTiles and it always removes all tiles. Use the --summary option of the mapproxy-seed tool.

The note about bulk_meta_tiles for SQLite below applies to MBtiles as well.

sqlite#

New in version 1.6.0.

Use SQLite databases to store the tiles, similar to mbtiles cache. The difference to mbtiles cache is that the sqlite cache stores each level into a separate database. This makes it easy to remove complete levels during mapproxy-seed cleanup processes. The sqlite cache also stores the timestamp of each tile.

Available options:

dirname:

The directory where the level databases will be stored.

tile_lock_dir:

Directory where MapProxy should write lock files when it creates new tiles for this cache. Defaults to cache_data/tile_locks.

New in version 1.6.0.

ttl:

The time-to-live of each tile in the cache in seconds. Use 0 (default) to allow unlimited tile reuse.

caches:
  sqlite_cache:
    sources: [mywms]
    grids: [GLOBAL_MERCATOR]
    cache:
      type: sqlite
      directory: /path/to/cache

Note

New in version 1.10.0.

All tiles from a meta tile request are stored in one transaction into the SQLite file to increase performance. You need to activate the bulk_meta_tiles option to get the same benefit when you are using tiled sources.

caches:
  sqlite_cache:
    sources: [mytilesource]
    bulk_meta_tiles: true
    grids: [GLOBAL_MERCATOR]
    cache:
      type: sqlite
      directory: /path/to/cache

couchdb#

New in version 1.3.0.

Store tiles inside a CouchDB. MapProxy creates a JSON document for each tile. This document contains metadata, like timestamps, and the tile image itself as a attachment.

Requirements#

Besides a running CouchDB you will need the Python requests package. You can install it the usual way, for example pip install requests.

Configuration#

You can configure the database and database name and the tile ID and additional metadata.

Available options:

url:

The URL of the CouchDB server. Defaults to http://localhost:5984.

db_name:

The name of the database MapProxy uses for this cache. Defaults to the name of the cache.

tile_lock_dir:

Directory where MapProxy should write lock files when it creates new tiles for this cache. Defaults to cache_data/tile_locks.

New in version 1.6.0.

tile_id:

Each tile document needs a unique ID. You can change the format with a Python format string that expects the following keys:

x, y, z:

The tile coordinate.

grid_name:

The name of the grid.

The default ID uses the following format:

%(grid_name)s-%(z)d-%(x)d-%(y)d

Note

You can’t use slashes (/) in CouchDB IDs.

tile_metadata:

MapProxy stores a JSON document for each tile in CouchDB and you can add additional key-value pairs with metadata to each document. There are a few predefined values that MapProxy will replace with tile-depended values, all other values will be added as they are.

Predefined values:

{{x}}, {{y}}, {{z}}:

The tile coordinate.

{{timestamp}}:

The creation time of the tile as seconds since epoch. MapProxy will add a timestamp key for you, if you don’t provide a custom timestamp key.

{{utc_iso}}:

The creation time of the tile in UTC in ISO format. For example: 2011-12-31T23:59:59Z.

{{tile_centroid}}:

The center coordinate of the tile in the cache’s coordinate system as a list of long/lat or x/y values.

{{wgs_tile_centroid}}:

The center coordinate of the tile in WGS 84 as a list of long/lat values.

Example#

caches:
  mycouchdbcache:
    sources: [mywms]
    grids: [mygrid]
    cache:
      type: couchdb
      url: http://localhost:9999
      db_name: mywms_tiles
      tile_metadata:
        mydata: myvalue
        tile_col: '{{x}}'
        tile_row: '{{y}}'
        tile_level: '{{z}}'
        created_ts: '{{timestamp}}'
        created: '{{utc_iso}}'
        center: '{{wgs_tile_centroid}}'

MapProxy will place the JSON document for tile z=3, x=1, y=2 at http://localhost:9999/mywms_tiles/mygrid-3-1-2. The document will look like:

{
    "_attachments": {
        "tile": {
            "content_type": "image/png",
            "digest": "md5-ch4j5Piov6a5FlAZtwPVhQ==",
            "length": 921,
            "revpos": 2,
            "stub": true
        }
    },
    "_id": "mygrid-3-1-2",
    "_rev": "2-9932acafd060e10bc0db23231574f933",
    "center": [
        -112.5,
        -55.7765730186677
    ],
    "created": "2011-12-15T12:56:21Z",
    "created_ts": 1323953781.531889,
    "mydata": "myvalue",
    "tile_col": 1,
    "tile_level": 3,
    "tile_row": 2
}

The _attachments-part is the internal structure of CouchDB where the tile itself is stored. You can access the tile directly at: http://localhost:9999/mywms_tiles/mygrid-3-1-2/tile.

riak#

New in version 1.6.0.

Store tiles in a Riak cluster. MapProxy creates keys with binary data as value and timestamps as user defined metadata. This backend is good for very large caches which can be distributed over many nodes. Data can be distributed over multiple nodes providing a fault-tolernt and high-available storage. A Riak cluster is masterless and each node can handle read and write requests.

Requirements#

You will need the Python Riak client version 2.4.2 or older. You can install it in the usual way, for example with pip install riak==2.4.2. Environments with older version must be upgraded with pip install -U riak==2.4.2. Python library depends on packages python-dev, libffi-dev and libssl-dev.

Configuration#

Available options:

nodes:

A list of riak nodes. Each node needs a host and optionally a pb_port and an http_port if the ports differ from the default. Defaults to single localhost node.

protocol:

Communication protocol. Allowed options is http, https and pbc. Defaults to pbc.

bucket:

The name of the bucket MapProxy uses for this cache. The bucket is the namespace for the tiles and must be unique for each cache. Defaults to cache name suffixed with grid name (e.g. mycache_webmercator).

default_ports:

Default pb and http ports for pbc and http protocols. Will be used as the default for each defined node.

secondary_index:

If true enables secondary index for tiles. This improves seed cleanup performance but requires that Riak uses LevelDB as the backend. Refer to the Riak documentation. Defaults to false.

Example#

myriakcache:
  sources: [mywms]
  grids: [mygrid]
  cache:
    type: riak
    nodes:
      - host: 1.example.org
        pb_port: 9999
      - host: 1.example.org
      - host: 1.example.org
    protocol: pbc
    bucket: myriakcachetiles
    default_ports:
      pb: 8087
      http: 8098

redis#

New in version 1.10.0.

Store tiles in a Redis in-memory database. This backend is useful for short-term caching. Typical use-case is a small Redis cache that allows you to benefit from meta-tiling.

Your Redis database should be configured with maxmemory and maxmemory-policy options to limit the memory usage. For example:

maxmemory 256mb
maxmemory-policy volatile-ttl

Requirements#

You will need the Python Redis client. You can install it in the usual way, for example with pip install redis.

Configuration#

Available options:

host:

Host name of the Redis server. Defaults to 127.0.0.1.

port:

Port of the Redis server. Defaults to 6379.

db:

Number of the Redis database. Please refer to the Redis documentation. Defaults to 0.

username:

Optional authentication username. No defaults.

password:

Optional authentication password. No defaults.

prefix:

The prefix added to each tile-key in the Redis cache. Used to distinguish tiles from different caches and grids. Defaults to cache-name_grid-name.

default_ttl:

The default Time-To-Live of each tile in the Redis cache in seconds. Defaults to 3600 seconds (1 hour).

Example#

redis_cache:
    sources: [mywms]
    grids: [mygrid]
    cache:
      type: redis
      username: mapproxy
      password: iamgreatpassword
      default_ttl: 600

geopackage#

New in version 1.10.0.

Store tiles in a geopackage database. MapProxy creates a tile table if one isn’t defined and populates the required meta data fields. This backend is good for datasets that require portability. Available options:

filename:

The path to the geopackage file. Defaults to cachename.gpkg.

table_name:

The name of the table where the tiles should be stored (or retrieved if using an existing cache). Defaults to the cachename_gridname.

levels:

Set this to true to cache to a directory where each level is stored in a separate geopackage. Defaults to false. If set to true, filename is ignored.

directory:

If levels is true use this to specify the directory to store geopackage files.

You can set the sources to an empty list, if you use an existing geopackage file and do not have a source.

caches:
  geopackage_cache:
    sources: []
    grids: [GLOBAL_MERCATOR]
    cache:
      type: geopackage
      filename: /path/to/bluemarble.gpkg
      table_name: bluemarble_tiles

Note

The geopackage format specification does not include any timestamps for each tile and the seeding function is limited therefore. If you include any refresh_before time in a seed task, all tiles will be recreated regardless of the value. The cleanup process does not support any remove_before times for geopackage and it always removes all tiles. Use the --summary option of the mapproxy-seed tool.

s3#

New in version 1.10.0.

New in version 1.11.0: region_name, endpoint_url and access_control_list

Store tiles in a Amazon Simple Storage Service (S3) or any other S3 compatible object storage.

Requirements#

You will need the Python boto3 package. You can install it in the usual way, for example with pip install boto3.

Configuration#

Available options:

bucket_name:

The bucket used for this cache. You can set the default bucket with globals.cache.s3.bucket_name.

profile_name:

Optional profile name for shared credentials for this cache. Alternative methods of authentification are using the AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY environmental variables, or by using an IAM role when using an Amazon EC2 instance. You can set the default profile with globals.cache.s3.profile_name.

region_name:

Optional name of the region. You can set the default region_name with globals.cache.s3.region_name

endpoint_url:

Optional endpoint_url for the S3. You can set the default endpoint_url with globals.cache.s3.endpoint_url.

access_control_list:

Optional access control list for the S3. You can set the default access_control_list with globals.cache.s3.access_control_list.

directory:

Base directory (path) where all tiles are stored.

directory_layout:

Defines the directory layout for the tiles (12/12345/67890.png, L12/R00010932/C00003039.png, etc.). See file for available options. Defaults to tms (e.g. 12/12345/67890.png). This cache cache also supports reverse_tms where tiles are stored as y/x/z.format. See note below.

use_http_get:

When set to true, requests to S3 GetObject will be fetched via urllib2 instead of boto, which decreases response times. Defaults to false.

Note

The hierarchical directory_layouts can hit limitations of S3 “if you are routinely processing 100 or more requests per second”. directory_layout: reverse_tms can work around this limitation. Please read S3 Request Rate and Performance Considerations for more information on this issue.

Example#

cache:
  my_layer_20110501_epsg_4326_cache_out:
    sources: [my_layer_20110501_cache]
    cache:
      type: s3
      directory: /1.0.0/my_layer/default/20110501/4326/
      bucket_name: my-s3-tiles-cache

globals:
  cache:
    s3:
      profile_name: default

Example usage with DigitalOcean Spaces#

cache:
  my_layer_20110501_epsg_4326_cache_out:
    sources: [my_layer_20110501_cache]
    cache:
      type: s3
      directory: /1.0.0/my_layer/default/20110501/4326/
      bucket_name: my-s3-tiles-cache

globals:
  cache:
    s3:
      profile_name: default
      region_name: nyc3
      endpoint_url: https://nyc3.digitaloceanspaces.com
      access_control_list: public-read

azureblob#

New in version to: be released

Store tiles in Azure Blob Storage, Microsoft’s object storage solution for the cloud.

Requirements#

You will need the azure-storage-blob package. You can install it in the usual way, for example with pip install azure-storage-blob.

Configuration#

Available options:

container_name:

The blob container used for this cache. You can set the default container with globals.cache.azureblob.container_name.

connection_string:

Credentials/url to connect and authenticate against Azure Blob storage. You can set the default connection_string with globals.cache.azureblob.connection_string or using the AZURE_STORAGE_CONNECTION_STRING environment variable. There are several ways to authenticate against Azure Blob storage:

  • Using the storage account key. This connection string can also found in the Azure Portal under the “Access Keys” section. For example:

"DefaultEndpointsProtocol=https;AccountName=my-storage-account;AccountKey=my-key"

  • Using a SAS token. For example:

"BlobEndpoint=https://my-storage-account.blob.core.windows.net;SharedAccessSignature=sv=2015-04-05&sr=b&si=tutorial-policy-635959936145100803&sig=9aCzs76n0E7y5BpEi2GvsSv433BZa22leDOZXX%2BXXIU%3D"

  • Using a local Azurite emulator, this is for TESTING purposes only. For example, using the default Azurite account:

"DefaultEndpointsProtocol=http;AccountName=devstoreaccount1;AccountKey=Eby8vdM02xNOcqFlqUwJPLlmEtlCDXJ1OUzFT50uSRZ6IFsuFq2UVErCz4I6tq/K1SZFPTOtr/KBHBeksoGMGw==;BlobEndpoint=http://localhost:10000/devstoreaccount1"
directory:

Base directory (path) where all tiles are stored.

directory_layout:

Defines the directory layout for the tiles (12/12345/67890.png, L12/R00010932/C00003039.png, etc.). See file for available options. Defaults to tms (e.g. 12/12345/67890.png). This cache cache also supports reverse_tms where tiles are stored as y/x/z.format.

Example#

cache:
  my_layer_20110501_epsg_4326_cache_out:
    sources: [my_layer_20110501_cache]
    cache:
      type: azureblob
      directory: /1.0.0/my_layer/default/20110501/4326/
      container_name: my-azureblob-tiles-cache

globals:
  cache:
    azureblob:
      connection_string: "DefaultEndpointsProtocol=https;AccountName=xxxx;AccountKey=xxxx"

compact#

New in version 1.10.0: Support for format version 1

New in version 1.11.0: Support for format version 2

Store tiles in ArcGIS compatible compact cache files. A single compact cache .bundle file stores up to about 16,000 tiles.

Version 1 of the compact cache format is compatible with ArcGIS 10.0 and the default version of ArcGIS 10.0-10.2. Version 2 is supported by ArcGIS 10.3 or higher. Version 1 stores is one additional .bundlx index file for each .bundle data file.

Available options:

directory:

Directory where MapProxy should store the level directories. This will not add the cache name or grid name to the path. You can use this option to point MapProxy to an existing compact cache.

version:

The version of the ArcGIS compact cache format. This option is required. Either 1 or 2.

You can set the sources to an empty list, if you use an existing compact cache files and do not have a source.

The following configuration will load tiles from /path/to/cache/L00/R0000C0000.bundle, etc.

caches:
  compact_cache:
    sources: []
    grids: [webmercator]
    cache:
      type: compact
      version: 2
      directory: /path/to/cache

Note

MapProxy does not support reading and writiting of the conf.cdi and conf.xml files. You need to configure a compatible MapProxy grid when you want to reuse exsting ArcGIS compact caches in MapProxy. You need to create or modify existing conf.cdi and conf.xml files when you want to use compact caches created with MapProxy in ArcGIS.

Note

The compact cache format does not include any timestamps for each tile and the seeding function is limited therefore. If you include any refresh_before time in a seed task, all tiles will be recreated regardless of the value. The cleanup process does not support any remove_before times for compact caches and it always removes all tiles. Use the --summary option of the mapproxy-seed tool.

Note

The compact cache format is append-only to allow parallel read and write operations. Removing or refreshing tiles with mapproxy-seed does not reduce the size of the cache files. You can use the defrag-compact-cache util to reduce the file size of existing bundle files.