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