forked from gCubeSystem/conductor-setup
59 lines
2.3 KiB
Properties
59 lines
2.3 KiB
Properties
# Servers.
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conductor.jetty.server.enabled=true
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conductor.grpc.server.enabled=false
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# Database persistence model. Possible values are memory, redis, and dynomite.
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# If ommitted, the persistence used is memory
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#
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# memory : The data is stored in memory and lost when the server dies. Useful for testing or demo
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# redis : non-Dynomite based redis instance
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# dynomite : Dynomite cluster. Use this for HA configuration.
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db=dynomite
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# Dynomite Cluster details.
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# format is host:port:rack separated by semicolon
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workflow.dynomite.cluster.hosts=dynomite1:8102:us-east-1b;dynomite2:8102:us-east-1b;dynomite3:8102:us-east-2b;dynomite4:8102:us-east-2b
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# Dynomite cluster name
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workflow.dynomite.cluster.name=dyno1
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# Namespace for the keys stored in Dynomite/Redis
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workflow.namespace.prefix=conductor
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# Namespace prefix for the dyno queues
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workflow.namespace.queue.prefix=conductor_queues
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# No. of threads allocated to dyno-queues (optional)
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queues.dynomite.threads=10
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# Non-quorum port used to connect to local redis. Used by dyno-queues.
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# When using redis directly, set this to the same port as redis server
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# For Dynomite, this is 22122 by default or the local redis-server port used by Dynomite.
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queues.dynomite.nonQuorum.port=22122
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# Elastic search instance type. Possible values are memory and external.
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# If not specified, the instance type will be embedded in memory
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#
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# memory: The instance is created in memory and lost when the server dies. Useful for development and testing.
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# external: Elastic search instance runs outside of the server. Data is persisted and does not get lost when
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# the server dies. Useful for more stable environments like staging or production.
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workflow.elasticsearch.instanceType=external
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# Transport address to elasticsearch
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workflow.elasticsearch.url=elasticsearch:9300
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# Name of the elasticsearch cluster
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workflow.elasticsearch.index.name=conductor
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# Additional modules (optional)
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# conductor.additional.modules=class_extending_com.google.inject.AbstractModule
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# Additional modules for metrics collection (optional)
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# conductor.additional.modules=com.netflix.conductor.contribs.metrics.MetricsRegistryModule,com.netflix.conductor.contribs.metrics.LoggingMetricsModule
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# com.netflix.conductor.contribs.metrics.LoggingMetricsModule.reportPeriodSeconds=15
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# Load sample kitchen sink workflow
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loadSample=false
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