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@@ -1,114 +0,0 @@
-//
-// ============LICENSE_START=======================================================
-// Copyright (C) 2016-2018 Ericsson. All rights reserved.
-// Modifications Copyright (C) 2019 Nordix Foundation.
-// ================================================================================
-// This file is licensed under the CREATIVE COMMONS ATTRIBUTION 4.0 INTERNATIONAL LICENSE
-// Full license text at https://creativecommons.org/licenses/by/4.0/legalcode
-//
-// SPDX-License-Identifier: CC-BY-4.0
-// ============LICENSE_END=========================================================
-//
-// @author Sven van der Meer (sven.van.der.meer@ericsson.com)
-//
-
-== Kafka IO
-
-Kafka IO is supported by the APEX Kafka plugin.
-The configurations below are examples.
-APEX will take any configuration inside the parameter object and forward it to Kafka.
-More information on Kafka specific configuration parameters can be found in the Kafka documentation:
-
-* link:https://kafka.apache.org/090/javadoc/org/apache/kafka/clients/consumer/KafkaConsumer.html[Kafka Consumer Class]
-* link:https://kafka.apache.org/090/javadoc/org/apache/kafka/clients/producer/KafkaProducer.html[Kafka Producer Class]
-
-
-
-=== Kafka Input
-
-APEX will receive events from the Apache Kafka messaging system.
-The input is uni-directional, an engine will only receive events from the input but not send any event to the input.
-
-[source%nowrap,json]
-----
-"carrierTechnologyParameters" : {
- "carrierTechnology" : "KAFKA", <1>
- "parameterClassName" :
- "org.onap.policy.apex.plugins.event.carrier.kafka.KAFKACarrierTechnologyParameters",
- "parameters" : {
- "bootstrapServers" : "localhost:49092", <2>
- "groupId" : "apex-group-id", <3>
- "enableAutoCommit" : true, <4>
- "autoCommitTime" : 1000, <5>
- "sessionTimeout" : 30000, <6>
- "consumerPollTime" : 100, <7>
- "consumerTopicList" : ["apex-in-0", "apex-in-1"], <8>
- "keyDeserializer" :
- "org.apache.kafka.common.serialization.StringDeserializer", <9>
- "valueDeserializer" :
- "org.apache.kafka.common.serialization.StringDeserializer", <10>
- "kafkaProperties" : [] <11>
- }
-}
-----
-
-<1> set Kafka as carrier technology
-<2> bootstrap server and port
-<3> a group identifier
-<4> flag for auto-commit
-<5> auto-commit timeout in milliseconds
-<6> session timeout in milliseconds
-<7> consumer poll time in milliseconds
-<8> consumer topic list
-<9> key for the Kafka de-serializer
-<10> value for the Kafka de-serializer
-<11> an optional list of name value pairs of properties to be passed transparently to Kafka.
-This field need not be specified, can be set to null, or to an empty list as here.
-
-
-=== Kafka Output
-
-APEX will send events to the Apache Kafka messaging system.
-The output is uni-directional, an engine will send events to the output but not receive any event from the output.
-
-
-[source%nowrap,json]
-----
-"carrierTechnologyParameters" : {
- "carrierTechnology" : "KAFKA", <1>
- "parameterClassName" :
- "org.onap.policy.apex.plugins.event.carrier.kafka.KAFKACarrierTechnologyParameters",
- "parameters" : {
- "bootstrapServers" : "localhost:49092", <2>
- "acks" : "all", <3>
- "retries" : 0, <4>
- "batchSize" : 16384, <5>
- "lingerTime" : 1, <6>
- "bufferMemory" : 33554432, <7>
- "producerTopic" : "apex-out", <8>
- "keySerializer" :
- "org.apache.kafka.common.serialization.StringSerializer", <9>
- "valueSerializer" :
- "org.apache.kafka.common.serialization.StringSerializer", <10>
- "kafkaProperties": [ <11>
- ["message.max.bytes", 1000000],
- ["compression.codec", "none"]
- ]
- }
-}
-----
-
-<1> set Kafka as carrier technology
-<2> bootstrap server and port
-<3> acknowledgement strategy
-<4> number of retries
-<5> batch size
-<6> time to linger in milliseconds
-<7> buffer memory in byte
-<8> producer topic
-<9> key for the Kafka serializer
-<10> value for the Kafka serializer
-<11> an optional list of name value pairs of properties to be passed transparently to Kafka. If a property appears in
-the _kafkaProperties_ field and is also explicitly specified to a non-default value (such as _lingerTime_
-and _linger.ms_) the explictly specified value of the property is used rather than the value specified in the
-_kafkaProperties_ list.