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導讀:隨著Kubernetes的普及和發展,越來越多的企業和團隊開始使用Kubernetes來管理和部署應用程式。然而,Kubernetes的預設工作方式可能不是最佳的選擇,尤其是在需要更高效、更可靠的應用程式部署和管理能力時。因此,SeaTunnel提供了一種執行Zeta引擎(local-mode模式)的方法,可以讓Kubernetes在本地執行Zeta引擎,實現更高效的應用程式部署和管理。在本文中,我們將探索SeaTunnel k8s執行zeta引擎(local-mode模式)的更多資訊,瞭解如何更好地利用Zeta引擎的優勢。
執行
- 將SeaTunnel上傳至伺服器上。我之前已經解壓並執行過install-plugin.sh,這裡為了方便,我直接用的執行過install-plugin.sh指令碼之後的seatunnel做演示。
執行過install-plugin後的lib目錄包含如下
tar -zxvf apache-seatunnel-2.3.3-bin.tar.gz
sh apache-seatunnel-2.3.3/bin/install-plugin.sh
tar -czvf apache-seatunnel-2.3.3-bin.tar.gz apache-seatunnel-2.3.3
- 構建SeaTunnel映象。在安裝seatunnel的同級資料夾下建立Dockerfile。配置如下,可自行選擇版本
FROM openjdk:8
ENV SEATUNNEL_VERSION="2.3.3"
COPY /apache-seatunnel-${SEATUNNEL_VERSION}-bin.tar.gz /opt/apache-seatunnel-${SEATUNNEL_VERSION}-bin.tar.gz
WORKDIR /opt
RUN tar -xzvf apache-seatunnel-${SEATUNNEL_VERSION}-bin.tar.gz
RUN mv apache-seatunnel-${SEATUNNEL_VERSION} seatunnel
RUN rm -f /opt/apache-seatunnel-${SEATUNNEL_VERSION}-bin.tar.gz
WORKDIR /opt/seatunnel
執行命令
docker build -t seatunnel:2.3.3 -f Dockerfile.
- 檢視映象
docker images
如下所示映象
- 將映象load進k8s,這裡用的minikube做演示
minikube image load seatunnel:2.3.3
minikube image ls
檢視映象
- 建立seatunnel.streaming.conf
如下所示
env {
execution.parallelism = 1
job.mode = "STREAMING"
checkpoint.interval = 2000
}
source {
FakeSource {
result_table_name = "fake"
row.num = 160000
schema = {
fields {
name = "string"
age = "int"
}
}
}
}
transform {
}
sink {
Console {}
}
- 建立configmap
kubectl create cm seatunnel-config \
--from-file=seatunnel.streaming.conf=seatunnel.streaming.conf
- 建立seatunnel.yaml如下示例
apiVersion: v1
kind: Pod
metadata:
name: seatunneltest
spec:
containers:
- name: seatunnel
image: seatunnel:2.3.3
command: ["/bin/sh","-c","/opt/seatunnel/bin/seatunnel.sh --config /data/seatunnel.streaming.conf -e local"]
volumeMounts:
- name: seatunnel-config
mountPath: /data/seatunnel.streaming.conf
subPath: seatunnel.streaming.conf
volumes:
- name: seatunnel-config
configMap:
name: seatunnel-config
items:
- key: seatunnel.streaming.conf
path: seatunnel.streaming.conf
~
執行
kubectl apply -f seatunnel.yaml
檢視pod結果如下
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原文連結:https://blog.csdn.net/weixin_41854429/article/details/132619265
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