# 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=postgres
jdbc.url=jdbc:postgresql://postgresdb:5432/conductor
jdbc.username=conductor
jdbc.password=password
conductor.postgres.connection.pool.size.max=10
conductor.postgres.connection.pool.idle.min=2
flyway.enabled=false


# 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