config.properties

# Database persistence model.  Possible values are memory, redis, and dynomite.
# If ommitted, the persistence used is memory
#
# memory : The data is stored in memory and lost when the server dies.  Useful for testing or demo
# redis : non-Dynomite based redis instance
# dynomite : Dynomite cluster.  Use this for HA configuration.

db=redis

# Dynomite Cluster details.
# format is host:port:rack separated by semicolon
workflow.dynomite.cluster.hosts=redis:6379:us-east-1c

# Dynomite cluster name
workflow.dynomite.cluster.name=redis

# Namespace for the keys stored in Dynomite/Redis
workflow.namespace.prefix=conductor

# Namespace prefix for the dyno queues
workflow.namespace.queue.prefix=conductor_queues

# No. of threads allocated to dyno-queues (optional)
#queues.dynomite.threads=10

queues.dynomite.connection.maxConnsPerHost=31

# Non-quorum port used to connect to local redis.  Used by dyno-queues.
# When using redis directly, set this to the same port as redis server
# For Dynomite, this is 22122 by default or the local redis-server port used by Dynomite.
queues.dynomite.nonQuorum.port=6379


# Transport address to elasticsearch
workflow.elasticsearch.url=elasticsearch:9300

# Name of the elasticsearch cluster
workflow.elasticsearch.index.name=conductor

# Additional modules (optional)
# conductor.additional.modules=class_extending_com.google.inject.AbstractModule

# Load sample kitchen sink workflow
loadSample=true