anchor.diff:  +
   [subs=+macros]
   ----
  -FROM registry.redhat.io/amq7/amq-streams-kafka-25:1.5.0
  +FROM {DockerKafkaConnect}
   USER root:root
   pass:quotes[COPY _./my-plugins/_ /opt/kafka/plugins/]
   USER 1001
  
positive.code: === Adding connector configuration
  
  ifdef::community[]
  To run a {prodname} SQL Server connector, create a connector configuration file and add it to your Kafka Connect cluster. 
  
  .Prerequisites
  
  
negative.code: With link:https://zookeeper.apache.org[Zookeeper], http://kafka.apache.org/[Kafka], and {link-kafka-docs}.html#connect[Kafka Connect] installed, the remaining tasks to deploy a {prodname} SQL Server connector are to download the https://repo1.maven.org/maven2/io/debezium/debezium-connector-sqlserver/{debezium-version}/debezium-connector-sqlserver-{debezium-version}-plugin.tar.gz[connector's plug-in archive], extract the JAR files into your Kafka Connect environment, and add the directory with the JAR files to {link-kafka-docs}/#connectconfigs[Kafka Connect's `plugin.path`].
  Restart your Kafka Connect process to pick up the new JAR files.
  
  If you are working with immutable containers, see link:https://hub.docker.com/r/debezium/[{prodname}'s container images] for Zookeeper, Kafka, SQL Server and Kafka Connect with the SQL Server connector already installed and ready to run. You can also xref:operations/openshift.adoc[run {prodname} on Kubernetes and OpenShift].
  endif::community[]
  
  ifdef::product[]
  