config/connect-distributed.properties - kafka - Git at Google

 ##
 # Licensed to the Apache Software Foundation (ASF) under one or more
 # contributor license agreements.  See the NOTICE file distributed with
 # this work for additional information regarding copyright ownership.
 # The ASF licenses this file to You under the Apache License, Version 2.0
 # (the "License"); you may not use this file except in compliance with
 # the License.  You may obtain a copy of the License at
 #
 #    http://www.apache.org/licenses/LICENSE-2.0
 #
 # Unless required by applicable law or agreed to in writing, software
 # distributed under the License is distributed on an "AS IS" BASIS,
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
 ##

 # This file contains some of the configurations for the Kafka Connect distributed worker. This file is intended
 # to be used with the examples, and some settings may differ from those used in a production system, especially
 # the `bootstrap.servers` and those specifying replication factors.

 # A list of host/port pairs to use for establishing the initial connection to the Kafka cluster.
 bootstrap.servers=localhost:9092

 # unique name for the cluster, used in forming the Connect cluster group. Note that this must not conflict with consumer group IDs
 group.id=connect-cluster

 # The converters specify the format of data in Kafka and how to translate it into Connect data. Every Connect user will
 # need to configure these based on the format they want their data in when loaded from or stored into Kafka
 key.converter=org.apache.kafka.connect.json.JsonConverter
 value.converter=org.apache.kafka.connect.json.JsonConverter
 # Converter-specific settings can be passed in by prefixing the Converter's setting with the converter we want to apply
 # it to
 key.converter.schemas.enable=true
 value.converter.schemas.enable=true

 # Topic to use for storing offsets. This topic should have many partitions and be replicated and compacted.
 # Kafka Connect will attempt to create the topic automatically when needed, but you can always manually create
 # the topic before starting Kafka Connect if a specific topic configuration is needed.
 # Most users will want to use the built-in default replication factor of 3 or in some cases even specify a larger value.
 # Since this means there must be at least as many brokers as the maximum replication factor used, we'd like to be able
 # to run this example on a single-broker cluster and so here we instead set the replication factor to 1.
 offset.storage.topic=connect-offsets
 offset.storage.replication.factor=1
 #offset.storage.partitions=25

 # Topic to use for storing connector and task configurations; note that this should be a single partition, highly replicated,
 # and compacted topic. Kafka Connect will attempt to create the topic automatically when needed, but you can always manually create
 # the topic before starting Kafka Connect if a specific topic configuration is needed.
 # Most users will want to use the built-in default replication factor of 3 or in some cases even specify a larger value.
 # Since this means there must be at least as many brokers as the maximum replication factor used, we'd like to be able
 # to run this example on a single-broker cluster and so here we instead set the replication factor to 1.
 config.storage.topic=connect-configs
 config.storage.replication.factor=1

 # Topic to use for storing statuses. This topic can have multiple partitions and should be replicated and compacted.
 # Kafka Connect will attempt to create the topic automatically when needed, but you can always manually create
 # the topic before starting Kafka Connect if a specific topic configuration is needed.
 # Most users will want to use the built-in default replication factor of 3 or in some cases even specify a larger value.
 # Since this means there must be at least as many brokers as the maximum replication factor used, we'd like to be able
 # to run this example on a single-broker cluster and so here we instead set the replication factor to 1.
 status.storage.topic=connect-status
 status.storage.replication.factor=1
 #status.storage.partitions=5

 # Flush much faster than normal, which is useful for testing/debugging
 offset.flush.interval.ms=10000

 # These are provided to inform the user about the presence of the REST host and port configs
 # Hostname & Port for the REST API to listen on. If this is set, it will bind to the interface used to listen to requests.
 #rest.host.name=
 #rest.port=8083

 # The Hostname & Port that will be given out to other workers to connect to i.e. URLs that are routable from other servers.
 #rest.advertised.host.name=
 #rest.advertised.port=

 # Set to a list of filesystem paths separated by commas (,) to enable class loading isolation for plugins
 # (connectors, converters, transformations). The list should consist of top level directories that include
 # any combination of:
 # a) directories immediately containing jars with plugins and their dependencies
 # b) uber-jars with plugins and their dependencies
 # c) directories immediately containing the package directory structure of classes of plugins and their dependencies
 # Examples:
 # plugin.path=/usr/local/share/java,/usr/local/share/kafka/plugins,/opt/connectors,
 #plugin.path=
	##
	# Licensed to the Apache Software Foundation (ASF) under one or more
	# contributor license agreements. See the NOTICE file distributed with
	# this work for additional information regarding copyright ownership.
	# The ASF licenses this file to You under the Apache License, Version 2.0
	# (the "License"); you may not use this file except in compliance with
	# the License. You may obtain a copy of the License at
	#
	# http://www.apache.org/licenses/LICENSE-2.0
	#
	# Unless required by applicable law or agreed to in writing, software
	# distributed under the License is distributed on an "AS IS" BASIS,
	# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
	# See the License for the specific language governing permissions and
	# limitations under the License.
	##

	# This file contains some of the configurations for the Kafka Connect distributed worker. This file is intended
	# to be used with the examples, and some settings may differ from those used in a production system, especially
	# the `bootstrap.servers` and those specifying replication factors.

	# A list of host/port pairs to use for establishing the initial connection to the Kafka cluster.
	bootstrap.servers=localhost:9092

	# unique name for the cluster, used in forming the Connect cluster group. Note that this must not conflict with consumer group IDs
	group.id=connect-cluster

	# The converters specify the format of data in Kafka and how to translate it into Connect data. Every Connect user will
	# need to configure these based on the format they want their data in when loaded from or stored into Kafka
	key.converter=org.apache.kafka.connect.json.JsonConverter
	value.converter=org.apache.kafka.connect.json.JsonConverter
	# Converter-specific settings can be passed in by prefixing the Converter's setting with the converter we want to apply
	# it to
	key.converter.schemas.enable=true
	value.converter.schemas.enable=true

	# Topic to use for storing offsets. This topic should have many partitions and be replicated and compacted.
	# Kafka Connect will attempt to create the topic automatically when needed, but you can always manually create
	# the topic before starting Kafka Connect if a specific topic configuration is needed.
	# Most users will want to use the built-in default replication factor of 3 or in some cases even specify a larger value.
	# Since this means there must be at least as many brokers as the maximum replication factor used, we'd like to be able
	# to run this example on a single-broker cluster and so here we instead set the replication factor to 1.
	offset.storage.topic=connect-offsets
	offset.storage.replication.factor=1
	#offset.storage.partitions=25

	# Topic to use for storing connector and task configurations; note that this should be a single partition, highly replicated,
	# and compacted topic. Kafka Connect will attempt to create the topic automatically when needed, but you can always manually create
	# the topic before starting Kafka Connect if a specific topic configuration is needed.
	# Most users will want to use the built-in default replication factor of 3 or in some cases even specify a larger value.
	# Since this means there must be at least as many brokers as the maximum replication factor used, we'd like to be able
	# to run this example on a single-broker cluster and so here we instead set the replication factor to 1.
	config.storage.topic=connect-configs
	config.storage.replication.factor=1

	# Topic to use for storing statuses. This topic can have multiple partitions and should be replicated and compacted.
	# Kafka Connect will attempt to create the topic automatically when needed, but you can always manually create
	# the topic before starting Kafka Connect if a specific topic configuration is needed.
	# Most users will want to use the built-in default replication factor of 3 or in some cases even specify a larger value.
	# Since this means there must be at least as many brokers as the maximum replication factor used, we'd like to be able
	# to run this example on a single-broker cluster and so here we instead set the replication factor to 1.
	status.storage.topic=connect-status
	status.storage.replication.factor=1
	#status.storage.partitions=5

	# Flush much faster than normal, which is useful for testing/debugging
	offset.flush.interval.ms=10000

	# These are provided to inform the user about the presence of the REST host and port configs
	# Hostname & Port for the REST API to listen on. If this is set, it will bind to the interface used to listen to requests.
	#rest.host.name=
	#rest.port=8083

	# The Hostname & Port that will be given out to other workers to connect to i.e. URLs that are routable from other servers.
	#rest.advertised.host.name=
	#rest.advertised.port=

	# Set to a list of filesystem paths separated by commas (,) to enable class loading isolation for plugins
	# (connectors, converters, transformations). The list should consist of top level directories that include
	# any combination of:
	# a) directories immediately containing jars with plugins and their dependencies
	# b) uber-jars with plugins and their dependencies
	# c) directories immediately containing the package directory structure of classes of plugins and their dependencies
	# Examples:
	# plugin.path=/usr/local/share/java,/usr/local/share/kafka/plugins,/opt/connectors,
	#plugin.path=