服务器端 K3S 上部署 Kafka Server
Kafka 装置
📚️ Quote:
charts/bitnami/kafka at master · bitnami/charts (github.com)
输出如下命令增加 Helm 仓库:
> helm repo add tkemarket https://market-tke.tencentcloudcr.com/chartrepo/opensource-stable
"tkemarket" has been added to your repositories
> helm repo add bitnami https://charts.bitnami.com/bitnami
"bitnami" has been added to your repositories
🔥 Tip:
tkemarket 镜像没有及时更新,倡议应用 bitnami 仓库。
然而 bitmani 在海内,有连不上的危险。
查找 Helm Chart kafka:
> helm search repo kafka
NAME CHART VERSION APP VERSION DESCRIPTION
tkemarket/kafka 11.0.0 2.5.0 Apache Kafka is a distributed streaming platform.
bitnami/kafka 15.3.0 3.1.0 Apache Kafka is a distributed streaming platfor...
bitnami/dataplatform-bp1 9.0.8 1.0.1 OCTO Data platform Kafka-Spark-Solr Helm Chart
bitnami/dataplatform-bp2 10.0.8 1.0.1 OCTO Data platform Kafka-Spark-Elasticsearch He...
应用 bitnami 的 helm 装置 kafka:
helm install kafka bitnami/kafka \
--namespace kafka --create-namespace \
--set global.storageClass=<storageClass-name> \
--set kubeVersion=<theKubeVersion> \
--set image.tag=3.1.0-debian-10-r22 \
--set replicaCount=3 \
--set service.type=ClusterIP \
--set externalAccess.enabled=true \
--set externalAccess.service.type=LoadBalancer \
--set externalAccess.service.ports.external=9094 \
--set externalAccess.autoDiscovery.enabled=true \
--set serviceAccount.create=true \
--set rbac.create=true \
--set persistence.enabled=true \
--set logPersistence.enabled=true \
--set metrics.kafka.enabled=false \
--set zookeeper.enabled=true \
--set zookeeper.persistence.enabled=true \
--wait
🔥 Tip:
参数阐明如下:
--namespace kafka --create-namespace
: 装置在kafka
namespace, 如果没有该 ns 就创立;global.storageClass=<storageClass-name>
应用指定的 storageclasskubeVersion=<theKubeVersion>
让 bitnami/kafka helm 判断是否满足版本需要,不满足就无奈创立image.tag=3.1.0-debian-10-r22
: 20220219 的最新镜像,应用残缺的名字保障尽量减少从互联网 pull 镜像;replicaCount=3
: kafka 正本数为 3service.type=ClusterIP
: 创立kafka
service, 用于 k8s 集群外部,所以 ClusterIP 就能够--set externalAccess.enabled=true --set externalAccess.service.type=LoadBalancer --set externalAccess.service.ports.external=9094 --set externalAccess.autoDiscovery.enabled=true --set serviceAccount.create=true --set rbac.create=true
创立用于 k8s 集群外拜访的kafka-<0|1|2>-external
服务(因为后面 kafka 正本数为 3)persistence.enabled=true
: Kafka 数据长久化,容器中的目录为/bitnami/kafka
logPersistence.enabled=true
: Kafka 日志长久化,容器中的目录为/opt/bitnami/kafka/logs
metrics.kafka.enabled=false
不启用 kafka 的监控 (Kafka 监控收集数据是通过kafka-exporter
实现的)zookeeper.enabled=true
: 装置 kafka 须要先装置 zookeeperzookeeper.persistence.enabled=true
: Zookeeper 日志长久化,容器中的目录为:/bitnami/zookeeper
--wait
: helm 命令会始终期待创立的后果
输入如下:
creating 1 resource(s)
creating 12 resource(s)
beginning wait for 12 resources with timeout of 5m0s
Service does not have load balancer ingress IP address: kafka/kafka-0-external
...
StatefulSet is not ready: kafka/kafka-zookeeper. 0 out of 1 expected pods are ready
...
StatefulSet is not ready: kafka/kafka. 0 out of 1 expected pods are ready
NAME: kafka
LAST DEPLOYED: Sat Feb 19 05:04:53 2022
NAMESPACE: kafka
STATUS: deployed
REVISION: 1
TEST SUITE: None
NOTES:
CHART NAME: kafka
CHART VERSION: 15.3.0
APP VERSION: 3.1.0
---------------------------------------------------------------------------------------------
WARNING
By specifying "serviceType=LoadBalancer" and not configuring the authentication
you have most likely exposed the Kafka service externally without any
authentication mechanism.
For security reasons, we strongly suggest that you switch to "ClusterIP" or
"NodePort". As alternative, you can also configure the Kafka authentication.
---------------------------------------------------------------------------------------------
** Please be patient while the chart is being deployed **
Kafka can be accessed by consumers via port 9092 on the following DNS name from within your cluster:
kafka.kafka.svc.cluster.local
Each Kafka broker can be accessed by producers via port 9092 on the following DNS name(s) from within your cluster:
kafka-0.kafka-headless.kafka.svc.cluster.local:9092
To create a pod that you can use as a Kafka client run the following commands:
kubectl run kafka-client --restart='Never' --image docker.io/bitnami/kafka:3.1.0-debian-10-r22 --namespace kafka --command -- sleep infinity
kubectl exec --tty -i kafka-client --namespace kafka -- bash
PRODUCER:
kafka-console-producer.sh \
--broker-list kafka-0.kafka-headless.kafka.svc.cluster.local:9092 \
--topic test
CONSUMER:
kafka-console-consumer.sh \
--bootstrap-server kafka.kafka.svc.cluster.local:9092 \
--topic test \
--from-beginning
To connect to your Kafka server from outside the cluster, follow the instructions below:
NOTE: It may take a few minutes for the LoadBalancer IPs to be available.
Watch the status with: 'kubectl get svc --namespace kafka -l"app.kubernetes.io/name=kafka,app.kubernetes.io/instance=kafka,app.kubernetes.io/component=kafka,pod"-w'
Kafka Brokers domain: You will have a different external IP for each Kafka broker. You can get the list of external IPs using the command below:
echo "$(kubectl get svc --namespace kafka -l"app.kubernetes.io/name=kafka,app.kubernetes.io/instance=kafka,app.kubernetes.io/component=kafka,pod"-o jsonpath='{.items[*].status.loadBalancer.ingress[0].ip}'| tr' ''\n')"
Kafka Brokers port: 9094
Kafka 测试验证
测试音讯:
先用如下命令创立一个 kafka-client pod:
kubectl run kafka-client --restart='Never' --image docker.io/bitnami/kafka:3.1.0-debian-10-r22 --namespace kafka --command -- sleep infinity
而后进入到 kafka-client 中,运行如下命令测试:
kafka-console-producer.sh --broker-list kafka-0.kafka-headless.kafka.svc.cluster.local:9092 --topic test
kafka-console-consumer.sh --bootstrap-server kafka-0.kafka-headless.kafka.svc.cluster.local:9092 --topic test --from-beginning
kafka-console-producer.sh --broker-list 10.109.205.245:9094 --topic test
kafka-console-consumer.sh --bootstrap-server 10.109.205.245:9094 --topic test --from-beginning
成果如下:
🎉至此,kafka 装置实现。
Kafka 卸载
⚡ Danger:
(按需)删除整个 kafka 的命令:
helm delete kafka --namespace kafka
总结
Kafka
-
Kafka 通过 Helm Chart bitnami 装置,装置于:K8S 集群的
kafka
namespace;- 装置模式:三节点
- Kafka 版本:3.1.0
- Kafka 实例:3 个
- Zookeeper 实例:1 个
- Kafka、Zookeeper、Kafka 日志均已长久化,位于:
/data/rancher/k3s/storage
- 未配置 sasl 及 tls
-
在 K8S 集群外部,能够通过该地址拜访 Kafka:
kafka.kafka.svc.cluster.local:9092
-
在 K8S 集群内部,能够通过该地址拜访 Kafka:
<loadbalancer-ip>:9094
Kafka 的长久化数据截图如下:
三人行, 必有我师; 常识共享, 天下为公. 本文由东风微鸣技术博客 EWhisper.cn 编写.