This container image bundles together Redis with Redis modules from Redis Labs for Edge computing.
$ $ docker run -it -p 6379:6379 redisedge
1:C 22 May 2019 21:03:43.669 # oO0OoO0OoO0Oo Redis is starting oO0OoO0OoO0Oo
1:C 22 May 2019 21:03:43.669 # Redis version=5.0.5, bits=64, commit=00000000, modified=0, pid=1, just started
1:C 22 May 2019 21:03:43.669 # Configuration loaded
...
1:M 22 May 2019 21:03:43.789 * Module 'ai' loaded from /usr/lib/redis/modules/redisai.so
loaded default MAX_SAMPLE_PER_CHUNK policy: 360
1:M 22 May 2019 21:03:43.789 * Module 'timeseries' loaded from /usr/lib/redis/modules/redistimeseries.so
1:M 22 May 2019 21:03:43.791 * <rg> RedisGears version 0.3.1, git_sha=be5c5fcdf2abaabe5ff62155d9c38e0ecaa97575
1:M 22 May 2019 21:03:43.791 * <rg> PythonHomeDir:/opt/redislabs/lib/modules/python3
1:M 22 May 2019 21:03:43.791 * <rg> MaxExecutions:1000
1:M 22 May 2019 21:03:43.791 * <rg> ProfileExecutions:0
1:M 22 May 2019 21:03:43.791 * <rg> PythonAttemptTraceback:1
1:M 22 May 2019 21:03:43.791 * <rg> RedisAI api loaded successfully.
could not initialize RediSearch_CheckApiVersionCompatibility
1:M 22 May 2019 21:03:43.791 # <rg> could not initialize RediSearch api, running without Search support.
1:M 22 May 2019 21:03:43.804 * <rg> Initializing Python environment with: exec(open('/opt/redislabs/lib/modules/python3/.venv/bin/activate_this.py').read(), {'__file__': '/opt/redislabs/lib/modules/python3/.venv/bin/activate_this.py'})
1:M 22 May 2019 21:03:43.840 * Module 'rg' loaded from /opt/redislabs/lib/modules/redisgears.so
1:M 22 May 2019 21:03:43.840 * Ready to accept connections
- RedisTimeSeries: a timeseries database
- RedisAI: a tensor and deep learning graphs server
- RedisGears: a dynamic execution framework
This image is based on the official image of Redis from Docker. By default, the container starts with Redis' default configuration and all included modules loaded.
You can, of course, override the defaults. This can be done either by providing additional command line arguments to the docker command, or by providing your own Redis configuration file.
You can provide Redis with configuration directives directly from the docker command. For example, the following will start the container, mount the host's /home/user/data volume to the container's /data, load the RedisAI module, and configure Redis' working directory to /data so that the data will actually be persisted there.
$ docker run \
-p 6379:6379 \
-v /home/user/data:/data \
redislabs/redisedge \
--loadmodule /usr/lib/redis/modules/redisai.so \
--dir /data
This image uses a custom configuration file (located at /etc/redisedge.conf. You can use that as a starting point for putting together your own and store it somewhere like /home/user/myredisedge.conf. You can then load the container with the custom configuration file likeso:
$ docker run \
-p 6379:6379 \
-v /home/user/data:/data \
-v /home/user/myredisedge.conf:/usr/local/etc/redisedge.conf \
redislabs/redisedge \
/usr/local/etc/redisedge.conf
This Docker image is licensed under the Redis Source Available License.