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Posted to commits@linkis.apache.org by pe...@apache.org on 2022/09/17 13:47:42 UTC
[incubator-linkis] branch dev-1.3.0 updated: [Optimization] Add doc in chinese for helm charts and linkis in docker feature (#3448)
This is an automated email from the ASF dual-hosted git repository.
peacewong pushed a commit to branch dev-1.3.0
in repository https://gitbox.apache.org/repos/asf/incubator-linkis.git
The following commit(s) were added to refs/heads/dev-1.3.0 by this push:
new 21134224d [Optimization] Add doc in chinese for helm charts and linkis in docker feature (#3448)
21134224d is described below
commit 21134224d5a91f7692a9acf6330cacc423d03bc6
Author: Aaron Lin <51...@users.noreply.github.com>
AuthorDate: Sat Sep 17 21:47:37 2022 +0800
[Optimization] Add doc in chinese for helm charts and linkis in docker feature (#3448)
---
README_CN.md | 33 ++++-
linkis-dist/helm/README_CN.md | 328 ++++++++++++++++++++++++++++++++++++++++++
2 files changed, 360 insertions(+), 1 deletion(-)
diff --git a/README_CN.md b/README_CN.md
index 566d21238..f73d6a014 100644
--- a/README_CN.md
+++ b/README_CN.md
@@ -130,8 +130,20 @@ Linkis 自 2019 年开源发布以来，已累计积累了 700 多家试验企
## 后端编译
### Mac OS/Linux 系统
+# 1. 首次编译，请执行如下命令
./mvnw -N install
-./mvnw clean install -Dmaven.javadoc.skip=true -Dmaven.test.skip=true
+# 2. 构建 Linkis 部署包
+# - 选项 1: 仅构建 Linkis 服务部署包
+./mvnw clean install -Dmaven.javadoc.skip=true -Dmaven.test.skip=true
+# - 选项 2: 构建 Linkis 服务部署包和 Docker 镜像
+# - 选项 2.1: 构建的镜像中不包含 mysql jdbc 包
+./mvnw clean install -Pdocker -Dmaven.javadoc.skip=true -Dmaven.test.skip=true
+# - 选项 2.2: 构建的镜像中包含 mysql jdbc 包
+./mvnw clean install -Pdocker -Dmaven.javadoc.skip=true -Dmaven.test.skip=true -Dlinkis.build.with.jdbc=true
+# - 选项 3: 构建 Linkis 服务部署包和 Docker 镜像（包括 Web 控制台）
+./mvnw clean install -Pdocker -Dmaven.javadoc.skip=true -Dmaven.test.skip=true -Dlinkis.build.web=true
+# - 选项 4: 仅构建 Linkis 服务部署包和 Docker 镜像（包括 Web 控制台和 LDH 镜像，LDH 镜像包换了多个预先配置和部署好的 Hadoop 组件，主要面向测试用途）
+./mvnw clean install -Pdocker -Dmaven.javadoc.skip=true -Dmaven.test.skip=true -Dlinkis.build.web=true -Dlinkis.build.ldh=true
### Windows 系统
mvnw.cmd -N install
@@ -143,6 +155,25 @@ npm install
npm run build
```
+### 集成 MySQL JDBC 驱动
+
+由于MySQL的许可协议限制，官方发布的 Linkis 镜像没有集成 MySQL JDBC 驱动。 然而，在现阶段，Linkis 仍然依赖这个库才能正常运行。 为了解决这个问题，
+我们提供了一个脚本，它可以帮助你快速的基于官方的 Linkis 镜像创建一个集成了MySQL JDBC 的自定义镜像。 这个工具创建的镜像默认的名称是 `linkis:with-jdbc`。
+
+```shell
+$> LINKIS_IMAGE=linkis:1.3.0 ./linkis-dist/docker/scripts/make-linikis-image-with-mysql-jdbc.sh
+
+# build dir: ...
+# base image: linkis:1.3.0
+# mysql jdbc version: 8.0.28
+... 0.0s
+ => exporting to image 0.0s
+ => => exporting layers 0.0s
+ => => writing image sha256:3870df5500a71fcf879b5b7d5699c3c9804c7e03e33ad842e5d11f3504371fe8 0.0s
+ => => naming to docker.io/library/linkis:with-jdbc 0.0s
+# done, image: linkis:with-jdbc
+```
+
请参考[快速安装部署 ](https://linkis.apache.org/zh-CN/docs/latest/deployment/quick-deploy) 来部署 Linkis
# 示例和使用指引
diff --git a/linkis-dist/helm/README_CN.md b/linkis-dist/helm/README_CN.md
new file mode 100644
index 000000000..3ac88500a
--- /dev/null
+++ b/linkis-dist/helm/README_CN.md
@@ -0,0 +1,328 @@
+Linkis Helm Charts 组件
+==========
+
+[](https://www.apache.org/licenses/LICENSE-2.0.html)
+
+# 前置条件
+> 注意: 仅在开发和测试阶段才需要 KinD.
+* [Kubernetes](https://kubernetes.io/docs/setup/), 最低版本 v1.21.0+
+* [Helm](https://helm.sh/docs/intro/install/), 最低版本 v3.0.0+.
+* [KinD](https://kind.sigs.k8s.io/docs/user/quick-start/), 最低版本 v0.11.0+.
+
+
+# 安装流程
+
+```shell
+# 在 kubernetes 上安装 Apache Linkis, Linkis 会被部署在名为'linkis'的名字空间中，对应的 Helm Release 名为 'linkis-demo'
+
+# 选项 1, 使用 Linkis 项目提供的脚本来部署
+$> ./scripts/install-charts.sh linkis linkis-demo
+
+# 选项 2, 使用 Helm 命令来部署
+$> helm install --create-namespace -f ./charts/linkis/values.yaml --namespace linkis linkis-demo ./charts/linkis
+```
+
+# 卸载流程
+
+```shell
+$> helm delete --namespace linkis linkis-demo
+```
+
+# 开发者工具
+
+建议使用 [KinD](https://kind.sigs.k8s.io/docs/user/quick-start/) 来进行 Helm Charts 的开发和测试。KinD 是一个使用Docker容器作为
+"Kubernetes节点" 来运行本地 Kubernetes 集群的工具。
+
+本地部署 KinD 工具的详细流程请参考如下文档:
+
+- [KinD Installation](https://kind.sigs.k8s.io/docs/user/quick-start/#installation)
+
+## 部署 Linkis 组件进行测试
+当你已经在开发环境中完成了KinD的安装后，可以通过运行以下命令在开发机上拉起一个 kubernetes 集群，并在上面部署 Apache Linkis 组件。
+
+
+```shell
+# 以下命令会在 KinD 集群上部署一个 MySQL 实例，同时还会部署一个 Apache Linkis 实例，
+# 这个 Apache Linkis 实例会使用这个 MySQL 实例会作为后台数据库.
+$> sh ./scripts/create-kind-cluster.sh \
+ && sh ./scripts/install-mysql.sh \
+ && sh ./scripts/install-charts.sh
+
+Creating cluster "test-helm" ...
+ ✓ Ensuring node image (kindest/node:v1.21.1) 🖼
+ ✓ Preparing nodes 📦
+ ✓ Writing configuration 📜
+ ✓ Starting control-plane 🕹️
+ ✓ Installing CNI 🔌
+ ✓ Installing StorageClass 💾
+Set kubectl context to "kind-test-helm"
+You can now use your cluster with:
+
+kubectl cluster-info --context kind-test-helm
+
+Have a nice day! 👋
+Image: "linkis:1.3.0" with ID "sha256:917138e97807c3a2d7d7fe4607c1196e7c00406bb3b8f81a3b64e54a4d8fe074" not yet present on node "test-helm-control-plane", loading...
+Image: "mysql:5.7" with ID "sha256:efa50097efbdef5884e5ebaba4da5899e79609b78cd4fe91b365d5d9d3205188" not yet present on node "test-helm-control-plane", loading...
+namespace/mysql created
+service/mysql created
+deployment.apps/mysql created
+
+NAME: linkis-demo
+LAST DEPLOYED: Wed Jul 6 23:46:30 2022
+NAMESPACE: linkis
+STATUS: deployed
+REVISION: 1
+TEST SUITE: None
+NOTES:
+---
+Welcome to Apache Linkis (v1.3.0)!
+
+.___ .___ .______ .____/\ .___ .________
+| | : __|: \ : / \: __|| ___/
+| | | : || ||. ___/| : ||___ \
+| |/\ | || | || \ | || /
+| / \| ||___| || \| ||__:___/
+|______/|___| |___||___\ /|___| : v1.3.0
+ \/
+
+Linkis builds a layer of computation middleware between upper applications and underlying engines.
+Please visit https://linkis.apache.org/ for details.
+
+Enjoy!
+
+```
+
+## 开启 port-forward，支持JVM 远程调试
+> INFO: [Understand how port-forward works.](https://kubernetes.io/docs/tasks/access-application-cluster/port-forward-access-application-cluster/)
+```shell
+# 为每个 Apache Linkis 服务创建一个 port-forward 实例
+$> ./scripts/remote-debug-proxy.sh start
+- starting port-forwad for [web] with mapping [local->8087:8087->pod] ...
+- starting port-forwad for [mg-eureka] with mapping [local->5001:5005->pod] ...
+- starting port-forwad for [mg-gateway] with mapping [local->5002:5005->pod] ...
+- starting port-forwad for [ps-cs] with mapping [local->5003:5005->pod] ...
+- starting port-forwad for [ps-publicservice] with mapping [local->5004:5005->pod] ...
+- starting port-forwad for [ps-metadataquery] with mapping [local->5005:5005->pod] ...
+- starting port-forwad for [ps-data-source-manager] with mapping [local->5006:5005->pod] ...
+- starting port-forwad for [cg-linkismanager] with mapping [local->5007:5005->pod] ...
+- starting port-forwad for [cg-entrance] with mapping [local->5008:5005->pod] ...
+- starting port-forwad for [cg-engineconnmanager] with mapping [local->5009:5005->pod] ...
+- starting port-forwad for [cg-engineplugin] with mapping [local->5010:5005->pod] ...
+
+# 一旦 port-forward 创建完成，你就可以通过设置 IDE 的配置，
+# 将 JVM 远程调试器连接到本地端口，来启动远程调试。
+
+# 获取 port-forward 实例列表
+$> sh ./scripts/remote-debug-proxy.sh list
+hadoop 65439 0.0 0.1 5054328 30344 s013 S 8:01PM 0:00.13 kubectl port-forward -n linkis pod/linkis-demo-cg-engineplugin-548b8cf695-g4hnp 5010:5005 --address=0.0.0.0
+hadoop 65437 0.0 0.1 5054596 30816 s013 S 8:01PM 0:00.13 kubectl port-forward -n linkis pod/linkis-demo-cg-engineconnmanager-868d8d4d6f-dqt7d 5009:5005 --address=0.0.0.0
+hadoop 65435 0.0 0.1 5051256 31128 s013 S 8:01PM 0:00.14 kubectl port-forward -n linkis pod/linkis-demo-cg-entrance-7dc7b477d4-87fdt 5008:5005 --address=0.0.0.0
+hadoop 65433 0.0 0.1 5049708 30092 s013 S 8:01PM 0:00.15 kubectl port-forward -n linkis pod/linkis-demo-cg-linkismanager-6f76bb5c65-vc292 5007:5005 --address=0.0.0.0
+hadoop 65431 0.0 0.1 5060716 30012 s013 S 8:01PM 0:00.13 kubectl port-forward -n linkis pod/linkis-demo-ps-data-source-manager-658474588-hjvdw 5006:5005 --address=0.0.0.0
+hadoop 65429 0.0 0.1 5059972 31048 s013 S 8:01PM 0:00.14 kubectl port-forward -n linkis pod/linkis-demo-ps-metadataquery-695877dcf7-r9hnx 5005:5005 --address=0.0.0.0
+hadoop 65427 0.0 0.1 5052268 30860 s013 S 8:01PM 0:00.14 kubectl port-forward -n linkis pod/linkis-demo-ps-publicservice-788cb9674d-7fp7h 5004:5005 --address=0.0.0.0
+hadoop 65423 0.0 0.1 5064312 30428 s013 S 8:01PM 0:00.14 kubectl port-forward -n linkis pod/linkis-demo-ps-cs-6d976869d4-pjfts 5003:5005 --address=0.0.0.0
+hadoop 65421 0.0 0.1 5058912 29996 s013 S 8:01PM 0:00.14 kubectl port-forward -n linkis pod/linkis-demo-mg-gateway-7c4f5f7c98-xv9wd 5002:5005 --address=0.0.0.0
+hadoop 65419 0.0 0.1 5051780 30564 s013 S 8:01PM 0:00.13 kubectl port-forward -n linkis pod/linkis-demo-mg-eureka-0 5001:5005 --address=0.0.0.0
+hadoop 65417 0.0 0.1 5067128 29876 s013 S 8:01PM 0:00.11 kubectl port-forward -n linkis pod/linkis-demo-web-5585ffcddb-swsvh 8087:8087 --address=0.0.0.0
+
+# 销毁所有 port-forward 实例
+$> sh ./scripts/remote-debug-proxy.sh stop
+- stopping port-forward for [web] with mapping [local->8087:8087->pod] ...
+- stopping port-forward for [mg-eureka] with mapping [local->5001:5005->pod] ...
+- stopping port-forward for [mg-gateway] with mapping [local->5002:5005->pod] ...
+- stopping port-forward for [ps-cs] with mapping [local->5003:5005->pod] ...
+- stopping port-forward for [ps-publicservice] with mapping [local->5004:5005->pod] ...
+- stopping port-forward for [ps-metadataquery] with mapping [local->5005:5005->pod] ...
+- stopping port-forward for [ps-data-source-manager] with mapping [local->5006:5005->pod] ...
+- stopping port-forward for [cg-linkismanager] with mapping [local->5007:5005->pod] ...
+- stopping port-forward for [cg-entrance] with mapping [local->5008:5005->pod] ...
+- stopping port-forward for [cg-engineconnmanager] with mapping [local->5009:5005->pod] ...
+- stopping port-forward for [cg-engineplugin] with mapping [local->5010:5005->pod] ...
+
+```
+
+## 登入 Linkis 服务的容器
+```shell
+# 进入 mg-gateway 容器，使用=用 linkis-cli 提交一个作业
+$> sh ./scripts/login-pod.sh mg-gateway
+```
+```shell
+# mg-gateway 容器内
+bash-4.2$ ./bin/./linkis-cli -engineType shell-1 -codeType shell -code "echo \"hello\" " -submitUser hadoop -proxyUser hadoop
+
+=====Java Start Command=====
+exec /etc/alternatives/jre/bin/java -server -Xms32m -Xmx2048m -XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/opt/linkis/logs/linkis-cli -XX:ErrorFile=/opt/linkis/logs/linkis-cli/ps_err_pid%p.log -XX:+UseConcMarkSweepGC -XX:CMSInitiatingOccupancyFraction=80 -XX:+DisableExplicitGC -classpath /opt/linkis/conf/linkis-cli:/opt/linkis/lib/linkis-computation-governance/linkis-client/linkis-cli/*:/opt/linkis/lib/linkis-commons/public-module/*: -Dconf.root=/etc/linkis-conf -Dconf.file=linki [...]
+OpenJDK 64-Bit Server VM warning: If the number of processors is expected to increase from one, then you should configure the number of parallel GC threads appropriately using -XX:ParallelGCThreads=N
+[INFO] LogFile path: /opt/linkis/logs/linkis-cli/linkis-client..log.20220814162421217892600
+[INFO] User does not provide usr-configuration file. Will use default config
+[INFO] connecting to linkis gateway:http://linkis-demo-mg-gateway.linkis.svc.cluster.local:9001
+JobId:1
+TaskId:1
+ExecId:exec_id018016linkis-cg-entrance10.244.0.13:9104LINKISCLI_hadoop_shell_0
+[INFO] Job is successfully submitted!
+
+2022-07-31 16:24:24.024 INFO Program is substituting variables for you
+2022-07-31 16:24:24.024 INFO Variables substitution ended successfully
+2022-07-31 16:24:24.024 WARN The code you submit will not be limited by the limit
+Job with jobId : 1 and execID : LINKISCLI_hadoop_shell_0 submitted
+2022-07-31 16:24:25.024 INFO You have submitted a new job, script code (after variable substitution) is
+************************************SCRIPT CODE************************************
+echo "hello"
+************************************SCRIPT CODE************************************
+2022-07-31 16:24:25.024 INFO Your job is accepted, jobID is LINKISCLI_hadoop_shell_0 and jobReqId is 1 in ServiceInstance(linkis-cg-entrance, 10.244.0.13:9104). Please wait it to be scheduled
+job is scheduled.
+2022-07-31 16:24:25.024 INFO Your job is Scheduled. Please wait it to run.
+Your job is being scheduled by orchestrator.
+2022-07-31 16:24:25.024 INFO job is running.
+2022-07-31 16:24:25.024 INFO Your job is Running now. Please wait it to complete.
+```
+
+## 销毁本地集群
+```shell
+# 选项 1: 仅删除 Helm Release
+$> helm delete --namespace linkis linkis-demo
+
+# 选项 2: 销毁整个 KinD 集群 (不需要先删除 Helm Release)
+$> kind delete cluster --name test-helm
+```
+
+## 使用 LDH 进行测试
+我们引入了一个新的镜像，叫做LDH（Linkis 的 hadoop 一体式镜像），它提供了一个伪分布式的 hadoop 集群，方便快速测试 On Hadoop 的部署模式。
+这个镜像包含以下多个 hadoop 组件，LDH 中引擎的默认模式是 on-yarn 的。
+* Hadoop 2.7.2 , 包括 HDFS and YARN
+* Hive 2.3.3
+* Spark 2.4.3
+* Flink 1.12.2
+* ZooKeeper 3.5.9
+
+> 注意: LDH 这个中的 Hive 组件依赖一个外部的 MySQL 实例，请在部署 LDH 前先部署 MySQL 实例.
+
+请在项目根目录下运行如下 maven 命令，来构建 LDH 镜像 （当前仅支持 Linux 和 MacOS 系统）
+
+```shell
+$> ./mvnw clean install -Pdocker \
+ -Dmaven.javadoc.skip=true \
+ -Dmaven.test.skip=true \
+ -Dlinkis.build.web=true \
+ -Dlinkis.build.ldh=true \
+ -Dlinkis.build.with.jdbc=true
+```
+
+默认情况下，我们从 [Apache Archives](https://archive.apache.org/dist/) 这个官方站点下载每个hadoop组件的预建二进制发行版。
+由于网络的问题，这中方式对某些地区的成员来说可能会非常缓慢。如果你有更快的站点，你可以手动从这些站点下载相应的包，并将其移动到如下这
+个目录`${HOME}/.linkis-build-cache` 来解决这个问题。
+
+运行如下的命令来创建一个本地 kubernetes 集群，并在其上部署 LDH 实例。
+
+```shell
+# 创建 KinD 集群，并部署 Linkis 和 LDH 实例
+$> sh ./scripts/create-kind-cluster.sh \
+ && sh ./scripts/install-mysql.sh \
+ && sh ./scripts/install-ldh.sh \
+ && sh ./scripts/install-charts-with-ldh.sh
+
+...
+
+# 快速体验 LDH
+$> kubectl exec -it -n ldh $(kubectl get pod -n ldh -o jsonpath='{.items[0].metadata.name}') -- bash
+
+[root@ldh-96bdc757c-dnkbs /]# hdfs dfs -ls /
+Found 4 items
+drwxrwxrwx - root supergroup 0 2022-07-31 02:48 /completed-jobs
+drwxrwxrwx - root supergroup 0 2022-07-31 02:48 /spark2-history
+drwxrwxrwx - root supergroup 0 2022-07-31 02:49 /tmp
+drwxrwxrwx - root supergroup 0 2022-07-31 02:48 /user
+
+[root@ldh-96bdc757c-dnkbs /]# beeline -u jdbc:hive2://ldh.ldh.svc.cluster.local:10000/ -n hadoop
+Connecting to jdbc:hive2://ldh.ldh.svc.cluster.local:10000/
+Connected to: Apache Hive (version 2.3.3)
+Driver: Hive JDBC (version 2.3.3)
+Transaction isolation: TRANSACTION_REPEATABLE_READ
+Beeline version 2.3.3 by Apache Hive
+0: jdbc:hive2://ldh.ldh.svc.cluster.local:100> create database demo;
+No rows affected (1.306 seconds)
+0: jdbc:hive2://ldh.ldh.svc.cluster.local:100> use demo;
+No rows affected (0.046 seconds)
+0: jdbc:hive2://ldh.ldh.svc.cluster.local:100> create table t1 (id int, data string);
+No rows affected (0.709 seconds)
+0: jdbc:hive2://ldh.ldh.svc.cluster.local:100> insert into t1 values(1, 'linikis demo');
+WARNING: Hive-on-MR is deprecated in Hive 2 and may not be available in the future versions. Consider using a different execution engine (i.e. spark, tez) or using Hive 1.X releases.
+No rows affected (5.491 seconds)
+0: jdbc:hive2://ldh.ldh.svc.cluster.local:100> select * from t1;
++--------+---------------+
+| t1.id | t1.data |
++--------+---------------+
+| 1 | linikis demo |
++--------+---------------+
+1 row selected (0.39 seconds)
+0: jdbc:hive2://ldh.ldh.svc.cluster.local:100> !q
+
+[root@ldh-96bdc757c-dnkbs /]# spark-sql
+22/07/31 02:53:18 INFO hive.metastore: Trying to connect to metastore with URI thrift://ldh.ldh.svc.cluster.local:9083
+22/07/31 02:53:18 INFO hive.metastore: Connected to metastore.
+...
+22/07/31 02:53:19 INFO spark.SparkContext: Running Spark version 2.4.3
+22/07/31 02:53:19 INFO spark.SparkContext: Submitted application: SparkSQL::10.244.0.6
+...
+22/07/31 02:53:27 INFO yarn.Client: Submitting application application_1659235712576_0001 to ResourceManager
+22/07/31 02:53:27 INFO impl.YarnClientImpl: Submitted application application_1659235712576_0001
+22/07/31 02:53:27 INFO cluster.SchedulerExtensionServices: Starting Yarn extension services with app application_1659235712576_0001 and attemptId None
+22/07/31 02:53:28 INFO yarn.Client: Application report for application_1659235712576_0001 (state: ACCEPTED)
+...
+22/07/31 02:53:36 INFO yarn.Client: Application report for application_1659235712576_0001 (state: RUNNING)
+...
+Spark master: yarn, Application Id: application_1659235712576_0001
+22/07/31 02:53:46 INFO thriftserver.SparkSQLCLIDriver: Spark master: yarn, Application Id: application_1659235712576_0001
+spark-sql> use demo;
+Time taken: 0.074 seconds
+22/07/31 02:58:02 INFO thriftserver.SparkSQLCLIDriver: Time taken: 0.074 seconds
+spark-sql> select * from t1;
+...
+1 linikis demo
+2 linkis demo spark sql
+Time taken: 3.352 seconds, Fetched 2 row(s)
+spark-sql> quit;
+
+[root@ldh-96bdc757c-dnkbs /]# zkCli.sh
+Connecting to localhost:2181
+Welcome to ZooKeeper!
+JLine support is enabled
+WATCHER::
+
+WatchedEvent state:SyncConnected type:None path:null
+
+[zk: localhost:2181(CONNECTED) 0] get -s /zookeeper/quota
+
+cZxid = 0x0
+ctime = Thu Jan 01 00:00:00 UTC 1970
+mZxid = 0x0
+mtime = Thu Jan 01 00:00:00 UTC 1970
+pZxid = 0x0
+cversion = 0
+dataVersion = 0
+aclVersion = 0
+ephemeralOwner = 0x0
+dataLength = 0
+numChildren = 0
+[zk: localhost:2181(CONNECTED) 1] quit
+
+[root@ldh-96bdc757c-dnkbs /]# flink run /opt/ldh/current/flink/examples/streaming/TopSpeedWindowing.jar
+Executing TopSpeedWindowing example with default input data set.
+Use --input to specify file input.
+Printing result to stdout. Use --output to specify output path.
+...
+```
+
+你可以通过`ldh.ldh.svc.cluster.local`这个域名来访问kubernetes集群中的LDH服务，例如，从你的 pod中访问 LDH 中的 hdfs。
+
+```shell
+[root@sample-pod /]# hdfs dfs -ls hdfs://ldh.ldh.svc.cluster.local:9000/
+Found 4 items
+drwxrwxrwx - root supergroup 0 2022-07-28 04:58 hdfs://ldh.ldh.svc.cluster.local:9000/completed-jobs
+drwxrwxrwx - root supergroup 0 2022-07-28 05:22 hdfs://ldh.ldh.svc.cluster.local:9000/spark2-history
+drwxrwxrwx - root supergroup 0 2022-07-28 04:58 hdfs://ldh.ldh.svc.cluster.local:9000/tmp
+drwxr-xr-x - root supergroup 0 2022-07-28 05:20 hdfs://ldh.ldh.svc.cluster.local:9000/user
+```
+
+最后，你可以用`kubectl port-forward`来访问 Linkis 的 Web 控制台。
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