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Simple Cluster Configuration
This simple Druid cluster configuration can be used for initially experimenting with Druid on your local machine. For a more realistic production Druid cluster, see Production Cluster Configuration.
Common Configuration (common.runtime.properties)
# Extensions
-Ddruid.extensions.loadList=["druid-kafka-eight"]
# Zookeeper (defaults to localhost)
# Metadata Storage (defaults to derby with no username and password)
Overlord Node (Indexing Service)
Run:
io.druid.cli.Main server overlord
Configuration:
-server
-Xmx256m
-Duser.timezone=UTC
-Dfile.encoding=UTF-8
-Djava.util.logging.manager=org.apache.logging.log4j.jul.LogManager
-Ddruid.indexer.queue.startDelay=PT0M
-Ddruid.indexer.runner.javaOpts=-server -Xmx1g
-Ddruid.indexer.fork.property.druid.processing.numThreads=1
-Ddruid.indexer.fork.property.druid.computation.buffer.size=100000000
This runs the indexing service in local mode, and can support real-time ingestion tasks (with one processing thread for queries).
Coordinator Node
Run:
io.druid.cli.Main server coordinator
Configuration:
-server
-Xmx256m
-Duser.timezone=UTC
-Dfile.encoding=UTF-8
-Djava.util.logging.manager=org.apache.logging.log4j.jul.LogManager
druid.coordinator.startDelay=PT70s
This simple coordinator assumes local deep storage.
Historical Node
Run:
io.druid.cli.Main server historical
Configuration:
-server
-Xmx256m
-Duser.timezone=UTC
-Dfile.encoding=UTF-8
-Djava.util.logging.manager=org.apache.logging.log4j.jul.LogManager
druid.server.maxSize=10000000000
druid.processing.buffer.sizeBytes=100000000
druid.processing.numThreads=1
druid.segmentCache.locations=[{"path": "/tmp/druid/indexCache", "maxSize"\: 10000000000}]
This historical node will be able to load 100 MB of data and be able to process 1 segment at a time. Deep storage is assumed to be local storage here.
Broker Node
Run:
io.druid.cli.Main server broker
Configuration:
-server
-Xmx256m
-Duser.timezone=UTC
-Dfile.encoding=UTF-8
-Djava.util.logging.manager=org.apache.logging.log4j.jul.LogManager
druid.processing.buffer.sizeBytes=100000000
druid.processing.numThreads=1
This simple broker will run groupBys in a single thread.