= Vert.x Kafka Admin Client
:toc: left
:lang: groovy
:groovy: groovy

This component provides a Vert.x wrapper around the Kafka Admin Client API.
The Kafka Admin Client is used to create, modify, and delete topics.
It also provides methods for handling ACLs (Access Control Lists), consumer groups and many more.

== Creating the Kafka Admin Client

Creating the admin client is quite similar on how it works using the native Kafka client library.

It needs to be configured with a bunch of properties as described in the official
Apache Kafka documentation, for the link:https://kafka.apache.org/documentation/#adminclientconfigs[admin].

To achieve that, a map can be configured with such properties passing it to one of the
static creation methods exposed by `link:../../apidocs/io/vertx/kafka/admin/KafkaAdminClient.html[KafkaAdminClient]`.

[source,groovy]
----
// creating the admin client using properties config
def config = new java.util.Properties()
config.put(org.apache.kafka.clients.admin.AdminClientConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:9092")

def adminClient = KafkaAdminClient.create(vertx, config)

----

== Using the Kafka Admin Client

=== Listing topics

You can call the `link:../../apidocs/io/vertx/kafka/admin/KafkaAdminClient.html#listTopics-io.vertx.core.Handler-[listTopics]` for listing the topics in the cluster.
The only parameter is the usual callback to handle the result, which provides the topics list.

[source,groovy]
----

adminClient.listTopics({ ar ->
  println("Topics= ${ar.result()}")
})

----

=== Describe topics

You can call `link:../../apidocs/io/vertx/kafka/admin/KafkaAdminClient.html#describeTopics-java.util.List-io.vertx.core.Handler-[describeTopics]` to describe topics in the cluster.
Describing a topic means getting all related metadata like number of partitions, replicas, leader, in-sync replicas and so on.
The needed parameters are the list of topics names to describe, and the usual callback to handle the result providing
a map with topic names and related `link:../../apidocs/io/vertx/kafka/admin/TopicDescription.html[TopicDescription]`.

[source,groovy]
----

adminClient.describeTopics(java.util.Collections.singletonList("my-topic"), { ar ->
  def topicDescription = ar.result()["first-topic"]

  println("Topic name=${topicDescription.name} isInternal= ${topicDescription.nternal} partitions= ${topicDescription.partitions.size()}")

  topicDescription.partitions.each { topicPartitionInfo ->
    println("Partition id= ${topicPartitionInfo.partition} leaderId= ${topicPartitionInfo.leader.id} replicas= ${topicPartitionInfo.replicas} isr= ${topicPartitionInfo.isr}")
  }
})

----

=== Create topic

You can call `link:../../apidocs/io/vertx/kafka/admin/KafkaAdminClient.html#createTopics-java.util.List-io.vertx.core.Handler-[createTopics]` to create topics in the cluster.
The needed parameters are the list of the topics to create, and the usual callback to handle the result.
The topics to create are defined via the `link:../../apidocs/io/vertx/kafka/admin/NewTopic.html[NewTopic]` class specifying the name, the number of
partitions and the replication factor.
It is also possible to describe the replicas assignment, mapping each replica to the broker id, instead of specifying the
number of partitions and the replication factor (which in this case has to be set to -1).

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=== Delete topic

You can call `link:../../apidocs/io/vertx/kafka/admin/KafkaAdminClient.html#deleteTopics-java.util.List-io.vertx.core.Handler-[deleteTopics]` to delete topics in the cluster.
The needed parameters are the list of the topics to delete, and the usual callback to handle the result.

[source,groovy]
----

adminClient.deleteTopics(java.util.Collections.singletonList("topicToDelete"), { ar ->
  // check if they were deleted successfully
})

----

=== Describe configuration

You can call `link:../../apidocs/io/vertx/kafka/admin/KafkaAdminClient.html#describeConfigs-java.util.List-io.vertx.core.Handler-[describeConfigs]` to describe resources configuration.
Describing resources configuration means getting all configuration information for cluster resources like topics or brokers.
The needed parameters are the list of the resources for which you want the configuration, and the usual callback to handle the result.
The resources are described by a collection of `link:../../apidocs/io/vertx/kafka/client/common/ConfigResource.html[ConfigResource]` while the result maps
each resource with a corresponding `link:../../apidocs/io/vertx/kafka/admin/Config.html[Config]` which as more `link:../../apidocs/io/vertx/kafka/admin/ConfigEntry.html[ConfigEntry]` for
each configuration parameter.

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=== Alter configuration

You can call `link:../../apidocs/io/vertx/kafka/admin/KafkaAdminClient.html#alterConfigs-java.util.Map-io.vertx.core.Handler-[alterConfigs]` to alter resources configuration.
Altering resources configuration means updating configuration information for cluster resources like topics or brokers.
The needed parameters are the list of the resources with the related configurations to updated, and the usual callback to handle the result.
It is possible to alter configurations for different resources with just one call. The input parameter maps each
`link:../../apidocs/io/vertx/kafka/client/common/ConfigResource.html[ConfigResource]` with the corresponding `link:../../apidocs/io/vertx/kafka/admin/Config.html[Config]` you want to apply.

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=== List consumer groups

You can call the `link:../../apidocs/io/vertx/kafka/admin/KafkaAdminClient.html#listConsumerGroups-io.vertx.core.Handler-[listConsumerGroups]` for listing the consumer groups in the cluster.
The only parameter is the usual callback to handle the result, which provides the consumer groups list.

[source,groovy]
----

adminClient.listConsumerGroups({ ar ->
  println("ConsumerGroups= ${ar.result()}")
})

----

=== Describe consumer groups

You can call `link:../../apidocs/io/vertx/kafka/admin/KafkaAdminClient.html#describeConsumerGroups-java.util.List-io.vertx.core.Handler-[describeConsumerGroups]` to describe consumer groups in the cluster.
Describing a consumer group means getting all related information like members, related ids, topics subscribed, partitions assignment and so on.
The needed parameters are the list of consumer groups names to describe, and the usual callback to handle the result providing
a map with consumer group names and related `link:../../apidocs/io/vertx/kafka/admin/MemberDescription.html[MemberDescription]`.

[source,groovy]
----

adminClient.describeTopics(java.util.Collections.singletonList("my-topic"), { ar ->
  def topicDescription = ar.result()["first-topic"]

  println("Topic name=${topicDescription.name} isInternal= ${topicDescription.nternal} partitions= ${topicDescription.partitions.size()}")

  topicDescription.partitions.each { topicPartitionInfo ->
    println("Partition id= ${topicPartitionInfo.partition} leaderId= ${topicPartitionInfo.leader.id} replicas= ${topicPartitionInfo.replicas} isr= ${topicPartitionInfo.isr}")
  }
})

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