tet123/documentation/modules/ROOT/pages/operations/openshift.adoc

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[id="deploying-debezium-on-openshift"]
= Deploying {prodname} on OpenShift
:linkattrs:
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:toc:
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toc::[]
This procedure is for setting up {prodname} connectors on Red Hat's link:https://www.openshift.com/[OpenShift] container platform.
For development or testing on OpenShift you can use https://developers.redhat.com/products/codeready-containers/overview[CodeRady Containers].
To get started more quickly, try the link:https://learn.openshift.com/middleware/debezium-getting-started/[{prodname} online learning scenario].
It starts an OpenShift cluster just for you, which lets you start using {prodname} in your browser within a few minutes.
== Prerequisites
To keep containers separated from other workloads on the cluster, create a dedicated project for {prodname}.
In the remainder of this document, the `debezium-example` namespace will be used:
[source,subs="attributes",options="nowrap"]
----
$ oc new-project debezium-example
----
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For the {prodname} deployment we will use the https://strimzi.io/[Strimzi] project, which manages the Kafka deployment on OpenShift clusters.
The simplest way for installing Strimzi is to install the Strimzi operator from https://operatorhub.io/[OperatorHub].
Navigate to the "OperatorHub" tab in the OpenShift UI,
select "Strimzi" and click the "install" button.
If you prefer command line tools, you can install the Strimzi operator this way as well:
[source,subs="attributes",options="nowrap"]
----
$ cat << EOF | oc create -f -
apiVersion: operators.coreos.com/v1alpha1
kind: Subscription
metadata:
name: my-strimzi-kafka-operator
namespace: openshift-operators
spec:
channel: stable
name: strimzi-kafka-operator
source: operatorhubio-catalog
sourceNamespace: olm
EOF
----
== Deploying Apache Kafka
Next, deploy a (single-node) Kafka cluster:
[source,bash]
----
$ cat << EOF | oc create -n debezium-example -f -
apiVersion: kafka.strimzi.io/v1beta2
kind: Kafka
metadata:
name: debezium-cluster
spec:
kafka:
replicas: 1
listeners:
- name: plain
port: 9092
type: internal
tls: false
- name: tls
port: 9093
type: internal
tls: true
authentication:
type: tls
- name: external
port: 9094
type: nodeport
tls: false
storage:
type: jbod
volumes:
- id: 0
type: persistent-claim
size: 100Gi
deleteClaim: false
config:
offsets.topic.replication.factor: 1
transaction.state.log.replication.factor: 1
transaction.state.log.min.isr: 1
default.replication.factor: 1
min.insync.replicas: 1
zookeeper:
replicas: 1
storage:
type: persistent-claim
size: 100Gi
deleteClaim: false
entityOperator:
topicOperator: {}
userOperator: {}
EOF
----
* Wait until it's ready:
[source,subs="attributes",options="nowrap"]
----
$ oc wait kafka/debezium-cluster --for=condition=Ready --timeout=300s
----
== Deploying a Data Source
As a data source, MySQL will be used in the following.
Besides running a pod with MySQL, an appropriate service which will point to the pod with DB itself is needed.
It can be created e.g. as follows:
[source,bash]
----
$ cat << EOF | oc create -f -
apiVersion: v1
kind: Service
metadata:
name: mysql
spec:
ports:
- port: 3306
selector:
app: mysql
clusterIP: None
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: mysql
spec:
selector:
matchLabels:
app: mysql
strategy:
type: Recreate
template:
metadata:
labels:
app: mysql
spec:
containers:
- image: quay.io/debezium/example-mysql:{debezium-docker-label}
name: mysql
env:
- name: MYSQL_ROOT_PASSWORD
value: debezium
- name: MYSQL_USER
value: mysqluser
- name: MYSQL_PASSWORD
value: mysqlpw
ports:
- containerPort: 3306
name: mysql
EOF
----
== Deploying a {prodname} Connector
To deploy a {prodname} connector, you need to deploy a Kafka Connect cluster with the required connector plug-in(s), before instantiating the actual connector itself.
As the first step, a container image for Kafka Connect with the plug-in has to be created.
If you already have a container image built and available in the registry, you can skip this step.
In this document, the MySQL connector will be used as an example.
=== Creating Kafka Connect Cluster
Again, we will use Strimzi for creating the Kafka Connect cluster.
Strimzi also can be used for building and pushing the required container image for us.
In fact, both tasks can be merged together and instructions for building the container image can be provided directly within the `KafkaConnect` object specification:
[source,bash]
----
$ cat << EOF | oc create -f -
apiVersion: kafka.strimzi.io/v1beta2
kind: KafkaConnect
metadata:
name: debezium-connect-cluster
annotations:
strimzi.io/use-connector-resources: "true"
spec:
version: 3.1.0
replicas: 1
bootstrapServers: debezium-cluster-kafka-bootstrap:9092
config:
group.id: connect-cluster
offset.storage.topic: connect-cluster-offsets
config.storage.topic: connect-cluster-configs
status.storage.topic: connect-cluster-status
# -1 means it will use the default replication factor configured in the broker
config.storage.replication.factor: -1
offset.storage.replication.factor: -1
status.storage.replication.factor: -1
build:
output:
type: docker
image: image-registry.openshift-image-registry.svc:5000/debezium-example/debezium-connect-mysql:latest
plugins:
- name: debezium-mysql-connector
artifacts:
- type: tgz
url: https://repo1.maven.org/maven2/io/debezium/debezium-connector-mysql/{debezium-version}/debezium-connector-mysql-{debezium-version}-plugin.tar.gz
EOF
----
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Here we took the advantage of the OpenShift built-in registry, already running as a service on the OpenShift cluster.
[NOTE]
====
For simplicity, we've skipped the checksum validation for the downloaded artifact.
If you want to be sure the artifact was correctly downloaded, specify its checksum via the `sha512sum` attribute.
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See the https://strimzi.io/docs/operators/latest/deploying.html#creating-new-image-using-kafka-connect-build-str[Strimzi documentation] for more details.
====
If you already have a suitable container image either in the local or a remote registry (such as quay.io or DockerHub), you can use this simplified version:
[source,bash]
----
$ cat << EOF | oc create -f -
apiVersion: kafka.strimzi.io/v1beta2
kind: KafkaConnect
metadata:
name: debezium-connect-cluster
annotations:
strimzi.io/use-connector-resources: "true"
spec:
version: 3.1.0
image: 10.110.154.103/debezium-connect-mysql:latest
replicas: 1
bootstrapServers: debezium-cluster-kafka-bootstrap:9092
config:
group.id: connect-cluster
offset.storage.topic: connect-cluster-offsets
config.storage.topic: connect-cluster-configs
status.storage.topic: connect-cluster-status
# -1 means it will use the default replication factor configured in the broker
config.storage.replication.factor: -1
offset.storage.replication.factor: -1
status.storage.replication.factor: -1
EOF
----
=== Creating a {prodname} Connector
To create a {prodname} connector, you just need to create a `KafkaConnector` with the appropriate configuration, MySQL in this case:
[source,bash]
----
$ cat << EOF | oc create -f -
apiVersion: kafka.strimzi.io/v1beta2
kind: KafkaConnector
metadata:
name: debezium-connector-mysql
labels:
strimzi.io/cluster: debezium-connect-cluster
spec:
class: io.debezium.connector.mysql.MySqlConnector
tasksMax: 1
config:
tasks.max: 1
database.hostname: mysql
database.port: 3306
database.user: debezium
database.password: dbz
database.server.id: 184054
database.server.name: mysql
database.include.list: inventory
database.history.kafka.bootstrap.servers: debezium-cluster-kafka-bootstrap:9092
database.history.kafka.topic: schema-changes.inventory
EOF
----
== Verifying the Deployment
To verify the everything works fine, you can e.g. start watching `mysql.inventory.customers` Kafka topic:
[source,subs="attributes",options="nowrap"]
----
$ oc run -n debezium-example -it --rm --image=quay.io/debezium/tooling:1.2 --restart=Never watcher -- kcat -b debezium-cluster-kafka-bootstrap:9092 -C -o beginning -t mysql.inventory.customers
----
Connect to the MySQL database:
[source,subs="attributes",options="nowrap"]
----
$ oc run -n debezium-example -it --rm --image=mysql:8.0 --restart=Never --env MYSQL_ROOT_PASSWORD=debezium mysqlterm -- mysql -hmysql -P3306 -uroot -pdebezium
----
Do some changes in the `customers` table:
[source,subs="attributes",options="nowrap"]
----
sql> update customers set first_name="Sally Marie" where id=1001;
----
You now should be able to observe the change events on the Kafka topic:
[source,json]
----
{
...
"payload": {
"before": {
"id": 1001,
"first_name": "Sally",
"last_name": "Thomas",
"email": "sally.thomas@acme.com"
},
"after": {
"id": 1001,
"first_name": "Sally Marie",
"last_name": "Thomas",
"email": "sally.thomas@acme.com"
},
"source": {
"version": "{debezium-version}",
"connector": "mysql",
"name": "mysql",
"ts_ms": 1646300467000,
"snapshot": "false",
"db": "inventory",
"sequence": null,
"table": "customers",
"server_id": 223344,
"gtid": null,
"file": "mysql-bin.000003",
"pos": 401,
"row": 0,
"thread": null,
"query": null
},
"op": "u",
"ts_ms": 1646300467746,
"transaction": null
}
}
----
If you have any questions or requests related to running {prodname} on Kubernetes or OpenShift,
then please let us know in our https://groups.google.com/forum/#!forum/debezium[user group] or in the {prodname} https://debezium.zulipchat.com/#narrow/stream/302533-dev[developer's chat].