Trino On K8S (DockerHub)

Shyllin2025-10-01 11:47

文章目录

    • [Trino On K8S (DockerHub)](#Trino On K8S (DockerHub))
      • 前期准备
      • [部署 Trino](#部署 Trino)
        • 下载Helm源
        • [部署 Trino](#部署 Trino)
        • [挂载 core-site.xml hdfs-site.xml配置](#挂载 core-site.xml hdfs-site.xml配置)
        • [~~忽略 修改 coordinator/worker configmap~~](#忽略 修改 coordinator/worker configmap)
        • [~~忽略 修改 service~~](#忽略 修改 service)
        • [~~忽略 修改 coordinator/worker deploy~~](#忽略 修改 coordinator/worker deploy)
        • 验证
        • Worker扩缩容
      • [集成Paimon【目前 0.8版本Paimon 仅支持 Trino 420/427】](#集成Paimon【目前 0.8版本Paimon 仅支持 Trino 420/427】)
        • [增加 Paimon Catalog](#增加 Paimon Catalog)
        • [重新构建镜像 挂载paimon jar包](#重新构建镜像 挂载paimon jar包)
        • [~~忽略挂载Paimon jar包~~](#忽略挂载Paimon jar包)

Trino On K8S (DockerHub)

基于 Dockerhub Trino 镜像部署，增加Paimon Jar包需要使用 HostPath挂载（每台k8s节点需要分发）

目前 0.8版本Paimon 仅支持 Trino 420/427

前期准备

下载dockerhub镜像推送到harbor
shell 复制代码 
docker pull trinodb/trino:420
docker image tag  trinodb/trino:420  10.83.195.8:1443/dockerhub/trino:420

docker push 10.83.195.8:1443/dockerhub/trino:420

部署 Trino

下载Helm源
shell 复制代码 
# https://artifacthub.io/packages/helm/trino/trino
helm repo add trino https://trinodb.github.io/charts/
helm pull trino/trino --version 0.19.0

tar -zxvf trino-0.19.0.tgz
mv trino  trino-dockerhub
cd trino-dockerhub

修改 values.yaml

shell 复制代码 
# 修改 image
image:
  registry: "10.83.195.8:1443"   #  docker push 10.83.195.6/dockerhub/trino:444
  repository: dockerhub/trino    # docker push 10.83.195.6/dockerhub/trino:444
  tag: "420"   # docker push 10.83.195.6/dockerhub/trino:444

# 外部访问
service:
  #type: ClusterIP
  type: NodePort
  port: 8080
  nodePort: 38080  # k8s默认端口范围：30000-32767

# worker pod数
server:
  workers: 2

# 添加 hive catalog
# hive.config.resources 和后面的挂载路径一致
catalogs:
  hive: |-
    connector.name=hive
    hive.metastore.uri=thrift://10.83.192.8:9083,thrift://10.83.192.9:9083
    hive.config.resources=/etc/trino/hadoop/core-site.xml,/etc/trino/hadoop/hdfs-site.xml
    fs.hadoop.enabled=true
部署 Trino
shell 复制代码 
# 和 Chart.yaml 同级目录下执行
helm install trino-dockerhub ./ -n trino-dockerhub --create-namespace

# 在harbor Web 将bigdata项目改成 公开，否则因权限问题拉取镜像失败

# 重新构建镜像后，需要删除原有镜像
# ansible -i /opt/ansible/nodes all -m shell -a "docker rmi 10.83.195.6/bigdata/trino:420"

# 卸载
# helm uninstall trino-dockerhub -n trino-dockerhub

# 更新
helm upgrade trino-dockerhub ./ -n trino-dockerhub

# 查看
kubectl get po,svc -n trino-dockerhub

# 报错查看日志 
coordinator_name=`kubectl get pods -n trino-dockerhub|grep coordinator|awk '{print $1}'`
kubectl describe po $coordinator_name  -n trino-dockerhub 
kubectl logs $coordinator_name  -n trino-dockerhub  --all-containers

# 进入 trino 终端
coordinator_name=`kubectl get pods -n trino-dockerhub|grep coordinator|awk '{print $1}'`
kubectl exec -it $coordinator_name -n trino-dockerhub -- /usr/bin/trino --server http://trino-dockerhub:8080 --catalog=hive --schema=default --user=admin

# 查询 trino 自带数据库正常
select * from system.runtime.nodes;

# 查询hive表报错：Query 20240410_074243_00004_6sab9 failed: Failed to list directory: hdfs://bigbigworld/user/hive/warehouse/test.db/xxx
# 需要增加 core-site.xml hdfs-site.xml配置
select * from hive.test.zxl_tmp;
挂载 core-site.xml hdfs-site.xml配置

配置configmap

shell 复制代码 
# 需要把 core-site.xml hdfs-site.xml 中配置的hostname 换成ip

kubectl create configmap trino-hadoop-config \
  --from-file=core-site.xml \
  --from-file=hdfs-site.xml \
  -n trino-test

修改 Helm values.yaml

shell 复制代码 
configMounts:
  - name: hadoop-config
    configMap: trino-hadoop-config
    path: /etc/trino/hadoop
    

# admin用户
env:
  - name: DHADOOP_USER_NAME
    value: "admin"

**忽略 挂载 core-site.xml hdfs-site.xml配置 **

shell 复制代码 
# vim templates/configmap-hadoop.yaml
# 需要把 core-site.xml hdfs-site.xml 中配置的hostname 换成ip

apiVersion: v1
kind: ConfigMap
metadata:
  name: {{ include "trino.fullname" . }}-hadoop
  labels:
    app.kubernetes.io/name: {{ include "trino.name" . }}
    helm.sh/chart: {{ include "trino.chart" . }}
    app.kubernetes.io/instance: {{ .Release.Name }}
data:
  core-site.xml: |
    <?xml version="1.0"?>
    <?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
    <configuration>
      <property>
        <name>fs.defaultFS</name>
        <value>hdfs://bigbigworld</value>
      </property>
      <property>
        <name>ha.zookeeper.quorum</name>
        <value>10.83.192.6:2181,10.83.192.7:2181,10.83.192.8:2181</value>
      </property>
       <property>
        <name>io.file.buffer.size</name>
        <value>131072</value>
      </property>
        <property>
        <name>fs.trash.interval</name>
        <value>4320</value>
      </property>
      <property>
        <name>fs.trash.checkpoint.interval</name>
        <value>60</value>
      </property>
      <property>
        <name>io.native.lib.available</name>
        <value>true</value>
      </property>
      <property>
        <name>net.topology.script.file.name</name>
        <value>/opt/apache/hadoop/etc/hadoop/topology.sh</value>
      </property>
       <property>
        <name>dfs.ha.fencing.methods</name>
        <value>
          sshfence
          shell(/bin/true)
        </value>
      </property>
      <property>
        <name>dfs.ha.fencing.ssh.private-key-files</name>
        <value>file:///home/admin/.ssh/id_rsa</value>
      </property>
      <property>
        <name>dfs.ha.fencing.ssh.connect-timeout</name>
        <value>1000</value>
      </property>
      <property>
        <name>hadoop.proxyuser.admin.hosts</name>
        <value>*</value>
      </property>
      <property>
        <name>hadoop.proxyuser.admin.users</name>
        <value>*</value>
      </property>
      <property>
        <name>hadoop.proxyuser.admin.groups</name>
        <value>*</value>
      </property>
      <property>
        <name>hadoop.proxyuser.hive.hosts</name>
        <value>*</value>
      </property>
      <property>
        <name>hadoop.proxyuser.hive.users</name>
        <value>*</value>
      </property>
      <property>
        <name>hadoop.proxyuser.yarn.groups</name>
        <value>*</value>
      </property>
      <property>
        <name>hadoop.proxyuser.yarn.users</name>
        <value>*</value>
      </property>
      <property>
        <name>hadoop.proxyuser.yarn.groups</name>
        <value>*</value>
      </property>
      <property>
        <name>ipc.server.read.threadpool.size</name>
        <value>5</value>
      </property>

      <property>
        <name>ipc.server.listen.queue.size</name>
        <value>1024</value>
      </property>

    </configuration>

  hdfs-site.xml: |
    <?xml version="1.0"?>
    <?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
    <configuration>
      <property>
        <name>dfs.replication</name>
        <value>3</value>
      </property>
      <property>
        <name>dfs.nameservices</name>
        <value>bigbigworld</value>
      </property>
        <property>
        <name>dfs.ha.namenodes.bigbigworld</name>
        <value>nn1,nn2</value>
      </property>
      <property>
        <name>dfs.namenode.rpc-address.bigbigworld.nn1</name>
        <value>10.83.192.6:8020</value>
      </property>
      <property>
        <name>dfs.namenode.rpc-address.bigbigworld.nn2</name>
        <value>10.83.192.7:8020</value>
      </property>
      <property>
        <name>dfs.namenode.http-address</name>
        <value>0.0.0.0:9870</value>
      </property>
      <property>
        <name>dfs.namenode.http-address.bigbigworld.nn1</name>
        <value>10.83.192.6:9870</value>
      </property>
      <property>
        <name>dfs.namenode.http-address.bigbigworld.nn2</name>
        <value>10.83.192.7:9870</value>
      </property>
      <property>
        <name>dfs.namenode.shared.edits.dir</name>
        <value>qjournal://10.83.192.6:8485;10.83.192.7:8485;10.83.192.8:8485/bigbigworld</value>
      </property>
      <property>
        <name>dfs.permissions.enabled</name>
        <value>true</value>
      </property>
      <property>
        <name>dfs.client.failover.proxy.provider.bigbigworld</name>
        <value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value>
      </property>
      <property>
        <name>dfs.ha.automatic-failover.enabled.bigbigworld</name>
        <value>true</value>
      </property>
      <property>
        <name>dfs.journalnode.edits.dir</name>
        <value>/data1/hadoop/dfs/journalnode</value>
      </property>
      <property>
        <name>dfs.qjournal.write-txns.timeout.ms</name>
        <value>60000</value>
      </property>
      <property>
        <name>dfs.namenode.name.dir</name>
        <value>file:///data1/hadoop/dfs/namenode</value>
      </property>
      <property>
        <name>dfs.datanode.data.dir</name>
        <value>file:///data1/hadoop/dfs/datanode</value>
      </property>
      <property>
        <name>dfs.webhdfs.enabled</name>
        <value>true</value>
      </property>
      <property>
        <name>dfs.namenode.handler.count</name>
        <value>192</value>
      </property>
      <property>
        <name>dfs.datanode.handler.count</name>
        <value>96</value>
      </property>
      <property>
        <name>dfs.datanode.max.transfer.threads</name>
        <value>16384</value>
      </property>
      <property>
        <name>dfs.datanode.socket.write.timeout</name>
        <value>480000</value>
      </property>
      <property>
        <name>dfs.client.socket-timeout</name>
        <value>300000</value>
      </property>
      <property>
        <name>dfs.datanode.balance.bandwidthPerSec</name>
        <value>209715200</value>
      </property>
      <property>
        <name>dfs.datanode.balance.max.concurrent.moves</name>
        <value>64</value>
      </property>
      <property>
        <name>dfs.namenode.replication.max-streams</name>
        <value>128</value>
      </property>
      <property>
        <name>dfs.namenode.replication.max-streams-hard-limit</name>
        <value>512</value>
      </property>
      <property>
        <name>dfs.namenode.replication.work.multiplier.per.iteration</name>
        <value>512</value>
      </property>
      <property>
        <name>dfs.hosts</name>
        <value>/opt/apache/hadoop/etc/hadoop/dfs-hosts.includes</value>
      </property>
      <property>
        <name>dfs.hosts.exclude</name>
        <value>/opt/apache/hadoop/etc/hadoop/dfs-hosts.excludes</value>
      </property>
      <property>
        <name>dfs.balancer.moverThreads</name>
        <value>2000</value>
      </property>
      <property>
        <name>dfs.balancer.max-size-to-move</name>
        <value>107374182400</value>
      </property>
      <property>
        <name>dfs.balancer.getBlocks.min-block-size</name>
        <value>1048576</value>
      </property>
      <property>
        <name>dfs.block.invalidate.limit</name>
        <value>2000</value>
      </property>
      <property>
        <name>dfs.namenode.acls.enabled</name>
        <value>true</value>
      </property>
      <property>
        <name>dfs.blockreport.incremental.intervalMsec</name>
        <value>50</value>
      </property>
      <property>
        <name>dfs.namenode.checkpoint.txns</name>
        <value>3000000</value>
      </property>
      <property>
        <name>dfs.qjournal.write-txns.timeout.ms</name>
        <value>90000</value>
      </property>
      <property>
        <name>dfs.qjournal.start-segment.timeout.ms</name>
        <value>90000</value>
      </property>
      <property>
        <name>dfs.qjournal.select-input-streams.timeout.ms</name>
        <value>90000</value>
      </property>
      <property>
        <name>dfs.namenode.audit.log.async</name>
        <value>true</value>
      </property>
      <property>
        <name>dfs.namenode.servicerpc-address.bigbigworld.nn1</name>
        <value>10.83.192.6:8041</value>
      </property>
      <property>
        <name>dfs.namenode.servicerpc-address.bigbigworld.nn2</name>
        <value>10.83.192.7:8041</value>
      </property>
    </configuration>
忽略 修改 coordinator/worker configmap
shell 复制代码 
# vim templates/configmap-coordinator.yaml 
# vim templates/configmap-worker.yaml 
# configmap-coordinator.yaml和configmap-worker.yaml的jvm.config 增加如下配置
# HADOOP_USER_NAME为Hadoop集群管理员用户
-DHADOOP_USER_NAME=admin
忽略 修改 service
shell 复制代码 
# vim templates/service.yaml

spec:
  type: {{ .Values.service.type }}
  ports:
    - port: {{ .Values.service.port }}
      targetPort: http
      protocol: TCP
      name: http
      # 新增如下配置
      nodePort: {{ .Values.service.nodePort }}
忽略 修改 coordinator/worker deploy
shell 复制代码 
# vim templates/deployment-coordinator.yaml 
# vim templates/deployment-worker.yaml
# deployment-coordinator.yaml和deployment-worker.yaml的volumes、volumeMounts 增加配置

      volumes:
        # 新增如下配置
        - name: core-site
          configMap:
            name: {{ include "trino.fullname" . }}-hadoop
        - name: hdfs-site
          configMap:
            name: {{ include "trino.fullname" . }}-hadoop

          volumeMounts:
            # 新增如下配置
            - mountPath: /tmp/hdfs-site.xml
              name: hdfs-site
              subPath: hdfs-site.xml
            - mountPath: /tmp/core-site.xml
              name: core-site
              subPath: core-site.xml
验证
shell 复制代码 
# 进入 trino 终端
coordinator_name=`kubectl get pods -n trino-dockerhub|grep coordinator|awk '{print $1}'`
# kubectl exec -it $coordinator_name -n trino-test -- bash
kubectl exec -it $coordinator_name -n trino-test -- /usr/bin/trino --server http://127.0.0.1:8080 --catalog=hive --schema=default --user=admin

kubectl exec -it $coordinator_name -n trino-dockerhub -- /usr/bin/trino --server http://trino-dockerhub:8080 --catalog=hive --schema=default --user=admin

# 查询 trino 自带数据库正常
select * from system.runtime.nodes;

# 读写hive表正常
Worker扩缩容
shell 复制代码 
kubectl get deployments,statefulsets -n trino-test | grep trino
# 扩缩容
kubectl scale deploy trino-test-trino-worker --replicas=3 -n trino-test

集成Paimon【目前 0.8版本Paimon 仅支持 Trino 420/427】

https://trino.io/docs/current/connector.html

增加 Paimon Catalog
shell 复制代码 
# vim values.yaml

additionalCatalogs:
  hive: |-
    connector.name=hive
    hive.metastore.uri=thrift://10.83.192.8:9083,thrift://10.83.192.9:9083
    hive.config.resources=/tmp/core-site.xml,/tmp/hdfs-site.xml
  paimon: |-
    connector.name=paimon
    warehouse=hdfs://bigbigworld/user/hive/warehouse
    hive.config.resources=/tmp/core-site.xml,/tmp/hdfs-site.xml
重新构建镜像 挂载paimon jar包
shell 复制代码 
# vim Dockerfile

FROM 192.168.234.10:80/trinodb/trino:476

ADD paimon-trino-440-1.0-20241217.000333-26-plugin.tar.gz /usr/lib/trino/plugin/
shell 复制代码 
# 构建镜像
docker build -t 192.168.234.10:80/trinodb/trino-paimon:440 -f Dockerfile . --no-cache
# 推送
docker push 192.168.234.10:80/trinodb/trino-paimon:440
忽略挂载Paimon jar包
shell 复制代码 
# 下载 paimon plugin
wget https://repository.apache.org/content/groups/snapshots/org/apache/paimon/paimon-trino-427/0.8-SNAPSHOT/paimon-trino-427-0.8-20240516.000452-23-plugin.tar.gz
tar -zxvf paimon-trino-427-0.8-20240516.000452-23-plugin.tar.gz -C /data/
# /lib/trino/plugin/paimon-trino-427-0.8-20240514.000510-22.jar

# vim templates/deployment-coordinator.yaml 
# vim templates/deployment-worker.yaml
# deployment-coordinator.yaml和deployment-worker.yaml的volumes、volumeMounts 增加配置

      volumes:
        - name: paimon-jar
          hostPath:
            path: /data/paimon
            type: DirectoryOrCreate

          volumeMounts:
            # 新增如下配置
            - mountPath: /lib/trino/plugin/paimon
              name: paimon-jar
              

# 更新
helm upgrade trino-dockerhub ./ -n trino-dockerhub
shell 复制代码 
# 和 Chart.yaml 同级目录下执行
helm install trino-dockerhub ./ -n trino-dockerhub --create-namespace


# 卸载
# helm uninstall trino-dockerhub -n trino-dockerhub

kubectl get po -n trino-dockerhub

coordinator_name=`kubectl get pods -n trino-dockerhub|grep coordinator|awk '{print $1}'`
kubectl exec -it $coordinator_name -n trino-dockerhub -- sh

kubectl describe po $coordinator_name  -n trino-dockerhub 
kubectl logs $coordinator_name  -n trino-dockerhub  --all-containers
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