# Servers.
conductor.jetty.server.enabled=true
conductor.grpc.server.enabled=false

# 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=dynomite

# Dynomite Cluster details.
# format is host:port:rack separated by semicolon
workflow.dynomite.cluster.hosts={% set ns = namespace() %}
{% set ns.availability_zone = "" %}
{% for seed in seeds %}
{%   set ns.seed_tokens = seed.split(':') %}
{%   if ns.availability_zone == "" %}
{%     set ns.availability_zone = ns.seed_tokens[2] %}
{%   endif %}
{%   if ns.availability_zone == ns.seed_tokens[2] %}
{{     ns.seed_tokens[0] }}:8102:{{ ns.availability_zone }}{%- if not loop.last %};{%- endif %}
{%   endif %}
{%- endfor %}


# If you are running using dynomite, also add the following line to the property 
# to set the rack/availability zone of the conductor server to be same as dynomite cluster config
EC2_AVAILABILTY_ZONE={{ ns.availability_zone }}

# Dynomite cluster name
workflow.dynomite.cluster.name=dyno1

# 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=3

# 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=22122

# Elastic search instance type. Possible values are memory and external.
# If not specified, the instance type will be embedded in memory
#
# memory: The instance is created in memory and lost when the server dies. Useful for development and testing.
# external: Elastic search instance runs outside of the server. Data is persisted and does not get lost when
#           the server dies. Useful for more stable environments like staging or production.
workflow.elasticsearch.instanceType=external

# 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

# Additional modules for metrics collection (optional)
# conductor.additional.modules=com.netflix.conductor.contribs.metrics.MetricsRegistryModule,com.netflix.conductor.contribs.metrics.LoggingMetricsModule
# com.netflix.conductor.contribs.metrics.LoggingMetricsModule.reportPeriodSeconds=15

# Load sample kitchen sink workflow
loadSample=false