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Posted to commits@linkis.apache.org by ca...@apache.org on 2022/12/04 10:10:18 UTC
[incubator-linkis-website] branch dev updated: feat:add quick experience document (#568)
This is an automated email from the ASF dual-hosted git repository.
casion pushed a commit to branch dev
in repository https://gitbox.apache.org/repos/asf/incubator-linkis-website.git
The following commit(s) were added to refs/heads/dev by this push:
new 01c7c8f86d feat:add quick experience document (#568)
01c7c8f86d is described below
commit 01c7c8f86d58f934a0525f4772a1e5018bba6305
Author: jacktao007 <zh...@apache.org>
AuthorDate: Sun Dec 4 18:10:13 2022 +0800
feat:add quick experience document (#568)
* feat:add quick experience document
* fix:update optimize remove domestic and 163
* feat:add eureka image display
---
docs/quick/_category_.json | 4 +
docs/quick/deploy-to-kubernetes.md | 110 +
docs/quick/deploy-without-hdfs.md | 101 +
docs/quick/live-demo.md | 283 +++
.../docusaurus-plugin-content-docs/current.json | 4 +
.../current/quick/_category_.json | 4 +
.../current/quick/deploy-to-kubernetes.md | 122 +
.../current/quick/deploy-without-hdfs.md | 104 +
.../current/quick/live-demo.md | 281 +++
src/components/contributors.json | 2397 +-------------------
src/components/contributorsWebsite.json | 2 +-
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diff --git a/docs/quick/_category_.json b/docs/quick/_category_.json
new file mode 100644
index 0000000000..7a0e1b8bae
--- /dev/null
+++ b/docs/quick/_category_.json
@@ -0,0 +1,4 @@
+{
+ "label": "Quick Experience",
+ "position": 0.9
+}
\ No newline at end of file
diff --git a/docs/quick/deploy-to-kubernetes.md b/docs/quick/deploy-to-kubernetes.md
new file mode 100644
index 0000000000..3ccae23ac6
--- /dev/null
+++ b/docs/quick/deploy-to-kubernetes.md
@@ -0,0 +1,110 @@
+---
+title: Kubernetes Deployment
+sidebar_position: 1.4
+---
+
+This article describes how to deploy a Linkis service in a Kind Kubernetes environment for easier learning and debugging.
+
+## 1. Dependencies and versions
+
+kind github：https://github.com/kubernetes-sigs/kind
+kind web site：[kind.sigs.k8s.io/](https://kind.sigs.k8s.io/)
+
+### Versions
+- kind 0.14.0
+- docker 20.10.17
+- centos 7.6
+- helm 3.x
+
+### Notice
+- 1. Ensure that the component depends on the version
+- 2. kind means that the machine simulating node with docker container is restarted and the container has changed and the scheduler is not working anymore. This is a kind limitation and there is a detailed explanation in the official document.
+
+## 2.Install the docker
+### 2.1 Install the tutorial
+```
+sudo yum install -y yum-utils device-mapper-persistent-data lvm2
+sudo yum -y install docker-ce
+systemctl start docker
+systemctl enable docker
+```
+
+## 3. Install the kind
+
+### Step1 Manually download the kind binary
+```
+https://github.com/kubernetes-sigs/kind/releases
+```
+### Step2 Install kind Binary
+```
+chmod +x ./kind
+mv kind-linux-amd64 /usr/bin/kind
+```
+## 4. Install linkis
+### Step1 Download linkis1.3.0 deployment package
+```
+apache-linkis-1.3.0-incubating-bin.tar.gz
+```
+### Step2 Build directory
+```
+mkdir -p /opt/data/common/extendlib
+```
+### Step3 Copy driver to /opt/data/common/extendlib
+```
+curl https://repo1.maven.org/maven2/mysql/mysql-connector-java/8.0.28/mysql-connector-java-8.0.28.jar -o /opt/data/common/extendlib/[mysql-connector-java-8.0.28.jar](https://repo1.maven.org/maven2/mysql/mysql-connector-java/8.0.28/mysql-connector-java-8.0.28.jar)
+```
+### Step3 Reset kind (not necessary)
+```
+./bin/install-linkis-to-kubernetes.sh reset
+```
+### Step5 Pull the image
+```
+./bin/install-linkis-to-kubernetes.sh pull -mghcr.dockerproxy.com
+```
+### Step6 Install linkis to kind
+```
+./bin/install-linkis-to-kubernetes.sh install -l -mghcr.dockerproxy.com
+```
+### Step7 Run commands to view services and wait until all services are successfully started
+```
+kubectl get pods -A
+```
+
+
+### Step8 Copy the ldh environment to linkis
+```
+./helm/scripts/prepare-for-spark.sh
+```
+### Step9 Enabling Port Mapping
+```
+./helm/scripts/remote-proxy.sh start
+```
+### Step10 Access to the system
+```
+linkis-web: http://10.0.2.102:8088/#/login
+username:hadoop
+Get the password command：
+kubectl describe cm linkis-demo-linkis-config -n linkis |grep wds.linkis.admin.password
+password:4f90c1b13
+```
+
+```
+eureka: http://10.0.2.101:20303/
+```
+
+
+
+### Step11 use linkis-cli executes the task
+```
+Enter the container
+./helm/scripts/login-pod.sh cg-engineconnmanager
+Executing shell tests
+sh ./bin/linkis-cli -engineType shell-1 -codeType shell -code "echo "hello" " -submitUser hadoop -proxyUser hadoop
+Executing hive Tests
+sh ./bin/linkis-cli -engineType hive-2.3.3 -codeType hql -code "show tables" -submitUser hadoop -proxyUser hadoop
+Executing spark Tests
+sh ./bin/linkis-cli -engineType spark-2.4.3 -codeType sql -code "show tables" -submitUser hadoop -proxyUser hadoop
+Executing python Tests
+sh ./bin/linkis-cli -engineType python-python2 -codeType python -code "print(\"hello\")" -submitUser hadoop -proxyUser hadoop -confMap python.version=python
+```
+
\ No newline at end of file
diff --git a/docs/quick/deploy-without-hdfs.md b/docs/quick/deploy-without-hdfs.md
new file mode 100644
index 0000000000..cef4d81799
--- /dev/null
+++ b/docs/quick/deploy-without-hdfs.md
@@ -0,0 +1,101 @@
+---
+title: Deploy without HDFS
+sidebar_position: 1.3
+---
+
+This article describes how to deploy Linkis services in an environment where HDFS is not deployed to facilitate more lightweight learning, use and debugging.
+
+For the overall deployment process, please refer to "Quick Deployment", and you need to modify the following content.
+
+## 1. Configuration modification
+Modify the `linkis-env.sh` file to modify the following:
+```bash
+#Use path mode [file://path] instead of [hdfs://]
+WORKSPACE_USER_ROOT_PATH=file:///tmp/linkis/
+HDFS_USER_ROOT_PATH=file:///tmp/linkis
+RESULT_SET_ROOT_PATH=file:///tmp/linkis
+
+export ENABLE_HDFS=false
+export ENABLE_HIVE=false
+export ENABLE_SPARK=false
+```
+
+After changing the above configuration to false, there is no need to configure HDFS/HIVE/SPARK environments separately.
+
+## 2. Copy mysql jar file
+Because the mysql-connector-java driver follows the GPL2.0 protocol and does not meet the license policy of the Apache open source protocol, we need to manually copy it to the following two directories.
+```bash
+${LINKIS_HOME}/lib/linkis-commons/public-module/
+${LINKIS_HOME}/lib/linkis-spring-cloud-services/linkis-mg-gateway/
+```
+
+It can be downloaded directly from the maven repository, such as https://mvnrepository.com/artifact/mysql/mysql-connector-java/5.1.49
+
+## 3. Deploy and start
+Refer to the "Quick Deployment" section to complete the deployment by executing the `${LINKIS_HOME}/bin/install.sh` command.
+Refering to the "Quick Deployment" section, start the Linkis services by executing the `${LINKIS_HOME}/sbin/linkis-start-all.sh` command.
+
+
+## 4. Verification
+Currently, version 1.1.2 only supports shell jobs to run in non-HDFS environments. The execution commands are as follows.
+
+```bash
+$ cd ./bin
+$ chmod +x linkis-cli
+$ ./linkis-cli -engineType shell-1 -codeType shell -code "echo \"hello\" " -submitUser <submitUser> -proxyUser <proxyUser>
+```
+
+The following output is expected.
+```bash
+=====Java Start Command=====
+exec /usr/lib/jvm/java-1.8.0-openjdk-1.8.0.312.b07-2.el8_5.x86_64/jre/bin/java -server -Xms32m -Xmx2048m -XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/Linkis/linkis03/logs/linkis-cli -XX:ErrorFile=/Linkis/linkis03/logs/linkis-cli/ps_err_pid%p.log -XX:+UseConcMarkSweepGC -XX:CMSInitiatingOccupancyFraction=80 -XX:+DisableExplicitGC -classpath /Linkis/linkis03/conf/linkis-cli:/Linkis/linkis03/lib/linkis-computation-governance/linkis-client/linkis-cli/*:/Linkis/linkis03/lib/linkis-com [...]
+[INFO] LogFile path: /Linkis/linkis03/logs/linkis-cli/linkis-client.root.log.20220418221952287912946
+[INFO] User does not provide usr-configuration file. Will use default config
+[INFO] connecting to linkis gateway:http://127.0.0.1:9001
+JobId:6
+TaskId:6
+ExecId:exec_id018028linkis-cg-entranceiZbp19q51jb8p984yk2jxdZ:9104LINKISCLI_test_shell_1
+[INFO] Job is successfully submitted!
+
+2022-04-18 22:19:53.019 INFO Program is substituting variables for you
+2022-04-18 22:19:53.019 INFO Variables substitution ended successfully
+2022-04-18 22:19:53.019 WARN The code you submit will not be limited by the limit
+Job with jobId : LINKISCLI_test_shell_1 and execID : LINKISCLI_test_shell_1 submitted
+2022-04-18 22:19:53.019 INFO You have submitted a new job, script code (after variable substitution) is
+************************************SCRIPT CODE************************************
+echo "hello"
+************************************SCRIPT CODE************************************
+2022-04-18 22:19:53.019 INFO Your job is accepted, jobID is LINKISCLI_test_shell_1 and jobReqId is 6 in ServiceInstance(linkis-cg-entrance, iZbp19q51jb8p984yk2jxdZ:9104). Please wait it to be scheduled
+job is scheduled.
+2022-04-18 22:19:53.019 INFO Your job is Scheduled. Please wait it to run.
+Your job is being scheduled by orchestrator.
+2022-04-18 22:19:53.019 INFO job is running.
+2022-04-18 22:19:53.019 INFO Your job is Running now. Please wait it to complete.
+2022-04-18 22:19:53.019 INFO Job with jobGroupId : 6 and subJobId : 5 was submitted to Orchestrator.
+2022-04-18 22:19:53.019 INFO Background is starting a new engine for you,execId astJob_4_codeExec_4 mark id is mark_4, it may take several seconds, please wait
+2022-04-18 22:20:01.020 INFO Task submit to ec: ServiceInstance(linkis-cg-engineconn, iZbp19q51jb8p984yk2jxdZ:43213) get engineConnExecId is: 1
+2022-04-18 22:20:01.020 INFO EngineConn local log path: ServiceInstance(linkis-cg-engineconn, iZbp19q51jb8p984yk2jxdZ:43213) /appcom1/tmp/test/20220418/shell/cc21fbb5-3a33-471b-a565-8407ff8ebd80/logs
+iZbp19q51jb8p984yk2jxdZ:43213_0 >> echo "hello"
+2022-04-18 22:20:01.438 WARN [Linkis-Default-Scheduler-Thread-1] org.apache.linkis.engineconn.computation.executor.hook.executor.ExecuteOnceHook 50 warn - execute once become effective, register lock listener
+hello
+2022-04-18 22:20:01.020 INFO Your subjob : 5 execue with state succeed, has 1 resultsets.
+2022-04-18 22:20:01.020 INFO Congratuaions! Your job : LINKISCLI_test_shell_1 executed with status succeed and 0 results.
+2022-04-18 22:20:01.020 INFO job is completed.
+2022-04-18 22:20:01.020 INFO Task creation time(任务创建时间): 2022-04-18 22:19:53, Task scheduling time(任务调度时间): 2022-04-18 22:19:53, Task start time(任务开始时间): 2022-04-18 22: Mission end time(任务结束时间): 2022-04-18 22:20:01
+2022-04-18 22:20:01.020 INFO Your mission(您的任务) 6 The total time spent is(总耗时时间为): 8.3 秒
+2022-04-18 22:20:01.020 INFO Congratulations. Your job completed with status Success.
+
+[INFO] Job execute successfully! Will try get execute result
+============Result:================
+TaskId:6
+ExecId: exec_id018028linkis-cg-entranceiZbp19q51jb8p984yk2jxdZ:9104LINKISCLI_test_shell_1
+User:test
+Current job status:SUCCEED
+extraMsg:
+result:
+
+[INFO] Retrieving result-set, may take time if result-set is large, please do not exit program.
+============ RESULT SET 1 ============
+hello
+############Execute Success!!!########
+```
\ No newline at end of file
diff --git a/docs/quick/live-demo.md b/docs/quick/live-demo.md
new file mode 100644
index 0000000000..8174f6cdb5
--- /dev/null
+++ b/docs/quick/live-demo.md
@@ -0,0 +1,283 @@
+---
+title: Sandbox
+sidebar_position: 1.9
+---
+
+
+
+## **1. Overview of the sandbox environment**
+
+### **1.1 Get the invitation code**
+
+Scan the following QR code, add "WeDataSphere open source community assistant", and provide relevant information to obtain the invitation code according to the prompts of the assistant.
+
+
+
+### **1.2 Register and login to use**
+
+After getting the invitation code through 1.1, you can register and use it.
+
+Step 1: Open the registration page link https://dss-open.wedatasphere.com/#/register, fill in the relevant information, and successfully register
+
+
+
+Step 2: Open the DSS sandbox page https://dss-open.wedatasphere.com/#/login, login with the registered account and password;
+
+- Login account: registered mobile phone number;
+- Login password: the last six digits of the mobile phone number;
+
+
+
+### **1.3 Interface Description**
+
+**Important note: For security reasons, the sandbox environment does not support 'add/modify' operations, only support the function of query/view.**
+
+
+
+(1) After successful login, you will be redirected to the home page of DSS. The top of the home page includes the Admin and Scriptis entries by default, but you can also add other component entries to the top navigation bar. On the home page, switch the workspace and select the project in the workspace. Now **AIIDEMO** has been configured for everyone to experience, just click the corresponding project.
+
+
+
+(2) Management platform: Linkis computing governance management platform, in this page can see the execution of all scripts, the management of global resources, the configuration of parameters and variables, data sources and UDF management, is a very important page;
+
+
+
+(3) Scriptis: a Web tool for data analysis that supports writing SQL, Pyspark, HiveQL and other scripts online and submits them to Linkis for execution, and supports enterprise-level features such as UDFs, functions, resource management and intelligent diagnosis. At present, the sandbox environment does not provide python and shell demos for security reasons.
+
+
+
+
+
+### **1.4 Navigation bar configuration**
+
+In order to use Qualitis, Scheduis, Visualis, Exchangis components more quickly, the corresponding entry can be added to the top navigation bar. How to do it: Click the entry in the upper left corner and add the corresponding component to the navigation bar.
+
+
+
+##
+
+## **2. Create the project and workflow**
+
+For security reasons, the sandbox environment does not support the ability to create projects and workflows. Developers can follow these steps in their own environments:
+
+DSS supports the use of workflow approach, following me step by step to use.
+
+（1）Click "Create Project" in the workspace "bdapWorkspace";
+
+
+
+（2）Fill in the parameters for the project, as shown in the following screenshot
+
+
+
+Because the sandbox environment prohibits project creation for security reasons, the following error is displayed. Build the DSS environment by yourself, you can create the project according to the above method.
+
+
+
+
+
+（3）After successful creation, you can see the project BI_20220804 on the home page;
+
+
+
+
+
+（4）Click to enter the created project "BI_20220804" and click Add workflow
+
+
+
+
+
+（5）Fill in the workflow information
+
+
+
+
+
+
+
+（6）Enter the project workflow DEMO, we can see the complete workflow interface;
+
+
+
+
+
+## **3. DEMO workflow component description**
+
+Currently, seven types of workflow nodes are supported, which can be used to complete tasks such as data synchronization, data analysis, data quality management, data visualization and so on.
+
+We go straight to AIIDEMO, hit Execute, and run the whole DEMO.
+
+
+
+
+
+### **3.1 Data Exchange**
+
+Use sqoop nodes to allow data exchange between the dss and the target database.
+
+（1）Double-click Data Sync on the data exchange node.
+
+
+
+
+
+（2）On the page for editing nodes, you can view the node details. Synchronize data from Hvie to MYSQL;
+
+
+
+
+
+（3）Click Data source Hive, and the data source configuration details are displayed in the popup window. The data source is "bdptest10_db.presure_testx".
+
+
+
+
+
+（4）Click on the database you want to sync to: dss_meta_open.presure_testx
+
+
+
+
+
+
+
+（5）The following fields are synchronized: objectid, intcolumn, doublecolumn, and floatcolumn.
+
+
+
+（6）You can also access the component page through "Exchangis" in the top navigation bar to view all data exchange nodes and manage data exchange.
+
+
+
+
+
+### **3.2 Data development**
+
+Supports languages such as sql, python, pyspark, and shell for data development. Drag the node out directly, and then double-click to enter the node interface to write code.
+
+（1）We double click the "source_data" node in the DEMO;
+
+
+
+
+
+（2）Enter the editing interface, write the corresponding script language, execute, you can get the relevant execution results;
+
+
+
+
+
+### **3.3 Data quality**
+
+Data quality is verified using qualitis.
+
+（1）Click on the data quality node "qualitis_200"
+
+
+
+
+
+（2）The data verification page is displayed, and the configured verification rule is displayed.
+
+
+
+
+
+（3）Select a different verification template by clicking the Add rule in the figure above;
+
+
+
+
+
+（4）Access the data Quality admin desk directly by clicking on the top navigation menu "Qualitis".
+
+
+
+
+
+### **3.4 visualization**
+
+Use the visualis component for visual BI analysis. In the sandbox environment, there are **DEMO** complete examples can be referred to.
+
+（1）Select the item and click "Execute". Wait until all the execution succeeds.
+
+
+
+
+
+（2）Click the corresponding data visualization node to see the generated data chart.
+
+
+
+
+
+
+
+
+
+（3）You can go directly to the Visualization Console by clicking on the top navigation menu "Visualis", where you can see the components related to visualization.
+
+
+
+（4）For a more detailed look at visualization capabilities, check out the video tutorial Big Data Visualization Using DataSphere Studio(DSS) :https://www.bilibili.com/video/BV1xY4y1t7Ma
+
+
+
+###
+
+### **3.5 Signal node**
+
+Currently, three function nodes are supported: datachecker, eventsender, and eventreceiver. Common scenarios for signal nodes:
+
+1. You can use datachecker to check whether the data is complete before running a batch task.
+
+2. After the completion of a certain work, you need to notify other workflows to do the work, and use eventsender to send the notification;
+
+3. Use the eventreceiver to monitor signals. After receiving signals from the eventsender, the corresponding work task is executed.
+
+
+
+
+
+### **3.6 Function Nodes**
+
+connector and subFlow nodes are supported.
+
+（1）The connector node serves only as a connection node for a workflow and does not perform any functions.
+
+（2）A subFlow is a sub-workflow node that can be understood as a separate workflow. In complex workflow scenarios, subFlow nodes can be used to simplify the main workflow process.
+
+
+
+
+
+### **3.7 Data Output**
+
+支持通过邮件发送的方式
+
+
+
+###
+
+### **3.8 Dispatching Center**
+
+(1) After we finish the workflow development and testing in the edit mode, we can click the "Publish" button to publish it directly to the dispatch center.
+
+
+
+
+
+(2) Click "Go to the Dispatch Center" or enter the management desk of the dispatch center through "Schedulis" at the top of the navigation. You can perform scheduling management and view workflow status in the scheduling center.
+
+
+
+## **4. Common mistakes**
+
+Currently, only a few features are available for community developers to experience in the sandbox environment. Using the sandbox environment can help developers quickly understand the WDS ecosystem.
+
+For security purposes, only the query, query, and execution functions are provided in the sandbox environment. For example, error messages such as "Only limited query operations are allowed in the sandbox environment", "No project is created in the sandbox environment", or "The background interface is abnormal. Please contact development.
+
+If you have any questions, please contact the assistant on wechat for feedback.
+
+
diff --git a/i18n/zh-CN/docusaurus-plugin-content-docs/current.json b/i18n/zh-CN/docusaurus-plugin-content-docs/current.json
index 1bb7d459c4..963e56bb29 100644
--- a/i18n/zh-CN/docusaurus-plugin-content-docs/current.json
+++ b/i18n/zh-CN/docusaurus-plugin-content-docs/current.json
@@ -3,6 +3,10 @@
"message": "Next(1.3.1)",
"description": "The label for version current"
},
+ "sidebar.tutorialSidebar.category.Quick Experience": {
+ "message": "快速体验",
+ "description": "The label for category Quick in sidebar tutorialSidebar"
+ },
"sidebar.tutorialSidebar.category.Deployment": {
"message": "安装部署",
"description": "The label for category Deployment in sidebar tutorialSidebar"
diff --git a/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick/_category_.json b/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick/_category_.json
new file mode 100644
index 0000000000..6870c26f62
--- /dev/null
+++ b/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick/_category_.json
@@ -0,0 +1,4 @@
+{
+ "label": "快速体验",
+ "position": 0.9
+}
\ No newline at end of file
diff --git a/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick/deploy-to-kubernetes.md b/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick/deploy-to-kubernetes.md
new file mode 100644
index 0000000000..d57e5a284a
--- /dev/null
+++ b/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick/deploy-to-kubernetes.md
@@ -0,0 +1,122 @@
+---
+title: 容器化部署
+sidebar_position: 1.10
+---
+这篇文章介绍一下如何在就Kind的Kubernetes的环境中部署 Linkis 服务，以方便更轻量化的学习使用和调试。
+
+## 1. 依赖版本
+kind github：https://github.com/kubernetes-sigs/kind
+kind官网：[kind.sigs.k8s.io/](https://kind.sigs.k8s.io/)
+
+### 版本:
+kind 0.14.0
+docker 20.10.17
+centos 7.6
+helm 3.x
+
+### 注意：
+1.确保组件依赖版本
+2.kind是用docker容器模拟节点的 机器重启回来容器都变了 调度器就不工作了 这个是kind的limitation,官方文档有详细说明。
+
+## 2.安装docker
+### 2.1 安装教程
+```
+sudo yum install -y yum-utils device-mapper-persistent-data lvm2
+sudo yum-config-manager --add-repo https://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo
+sudo sed -i 's+download.docker.com+mirrors.aliyun.com/docker-ce+' /etc/yum.repos.d/docker-ce.repo
+sudo yum makecache fast
+sudo yum -y install docker-ce
+systemctl start docker
+systemctl enable docker
+```
+
+### 2.2 设置国内镜像
+```
+vi /etc/docker/daemon.json
+{
+"registry-mirrors": ["http://hub-mirror.c.163.com"],
+"insecure-registries": ["https://registry.mydomain.com","http://hub-mirror.c.163.com"]
+}
+```
+
+## 3. 安装kind
+### （1）手工下载kind二进制
+```
+https://github.com/kubernetes-sigs/kind/releases
+```
+### （2）安装kind二进制
+```
+chmod +x ./kind
+mv kind-linux-amd64 /usr/bin/kind
+```
+## 4. 安装linkis
+### 0.下载或自行编译linkis1.3.0部署包
+使用版本：dev1.3.0分支编译版本
+```
+apache-linkis-1.3.0-incubating-bin.tar.gz
+```
+### 1.建立目录
+```
+mkdir -p /opt/data/common/extendlib
+```
+### 2.拷贝驱动到 /opt/data/common/extendlib
+```
+curl https://repo1.maven.org/maven2/mysql/mysql-connector-java/8.0.28/mysql-connector-java-8.0.28.jar -o /opt/data/common/extendlib/[mysql-connector-java-8.0.28.jar](https://repo1.maven.org/maven2/mysql/mysql-connector-java/8.0.28/mysql-connector-java-8.0.28.jar)
+```
+### 3.重置kind（非必要）
+```
+./bin/install-linkis-to-kubernetes.sh reset
+```
+### 4.拉取镜像
+```
+./bin/install-linkis-to-kubernetes.sh pull -mghcr.dockerproxy.com
+```
+### 5.安装linkis到kind中
+```
+./bin/install-linkis-to-kubernetes.sh install -l -mghcr.dockerproxy.com
+```
+### 6.使用命令查看服务，等待全部启动成功
+```
+kubectl get pods -A
+```
+
+
+
+### 7.拷贝ldh环境到linkis
+```
+./helm/scripts/prepare-for-spark.sh
+```
+### 8.开启端口映射
+```
+./helm/scripts/remote-proxy.sh start
+```
+### 9.访问系统
+```
+linkis-web: http://10.0.2.102:8088/#/login
+用户名:hadoop
+获取密码：
+kubectl describe cm linkis-demo-linkis-config -n linkis |grep wds.linkis.admin.password
+密码:4f90c1b13
+```
+
+```
+eureka: http://10.0.2.101:20303/
+```
+
+
+
+### 10.执行linkis-cli执行任务
+```
+进入容器
+./helm/scripts/login-pod.sh cg-engineconnmanager
+执行shell测试
+sh ./bin/linkis-cli -engineType shell-1 -codeType shell -code "echo "hello" " -submitUser hadoop -proxyUser hadoop
+执行hive测试
+sh ./bin/linkis-cli -engineType hive-2.3.3 -codeType hql -code "show tables" -submitUser hadoop -proxyUser hadoop
+执行spark测试
+sh ./bin/linkis-cli -engineType spark-2.4.3 -codeType sql -code "show tables" -submitUser hadoop -proxyUser hadoop
+执行python测试
+sh ./bin/linkis-cli -engineType python-python2 -codeType python -code "print(\"hello\")" -submitUser hadoop -proxyUser hadoop -confMap python.version=python
+```
+
+
diff --git a/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick/deploy-without-hdfs.md b/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick/deploy-without-hdfs.md
new file mode 100644
index 0000000000..6e61f6d0a4
--- /dev/null
+++ b/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick/deploy-without-hdfs.md
@@ -0,0 +1,104 @@
+---
+title: 无 HDFS 部署
+sidebar_position: 1.20
+---
+
+这篇文章介绍一下如何在没有部署 HDFS 的环境中部署 Linkis 服务，以方便更轻量化的学习使用和调试。
+
+部署整体流程参考 "快速部署"，需要修改如下少许内容。
+
+去HDFS模式部署不支持hive/spark/flink引擎等任务
+
+## 1. 配置修改
+修改 `linkis-env.sh` 文件，修改以下内容：
+```bash
+#使用[file://]路径模式代替[hdfs://]模式
+WORKSPACE_USER_ROOT_PATH=file:///tmp/linkis/
+HDFS_USER_ROOT_PATH=file:///tmp/linkis
+RESULT_SET_ROOT_PATH=file:///tmp/linkis
+
+export ENABLE_HDFS=false
+export ENABLE_HIVE=false
+export ENABLE_SPARK=false
+```
+
+将上述的配置修改为 false 之后，就不需要再单独配置 HDFS/HIVE/SPARK 等环境了, 安装部署时也会跳过这些基础环境的检查。
+
+## 2. 拷贝 jar 包
+因为 mysql-connector-java 驱动是 GPL2.0 协议，不满足Apache开源协议关于license的政策，所以需要我们手动将其拷贝到如下两个目录下
+```bash
+${LINKIS_HOME}/lib/linkis-commons/public-module/
+${LINKIS_HOME}/lib/linkis-spring-cloud-services/linkis-mg-gateway/
+```
+
+可以直接从 maven 仓库下载，比如 https://mvnrepository.com/artifact/mysql/mysql-connector-java/5.1.49
+
+## 3. 部署和启动
+参考 "快速部署" 部分，通过执行 ${LINKIS_HOME}/bin/install.sh 命令完成部署。
+参考 "快速部署" 部分，通过执行 ${LINKIS_HOME}/sbin/linkis-start-all.sh 命令启动 Linkis 服务。
+
+
+## 4. 运行作业验证
+目前 1.1.2 版本只支持 shell 作业在非 HDFS 环境中运行，执行命令如下
+
+```bash
+$ cd ./bin
+$ chmod +x linkis-cli
+$ ./linkis-cli -engineType shell-1 -codeType shell -code "echo \"hello\" " -submitUser <submitUser> -proxyUser <proxyUser>
+```
+
+正常会输出如下类似内容
+```bash
+=====Java Start Command=====
+exec /usr/lib/jvm/java-1.8.0-openjdk-1.8.0.312.b07-2.el8_5.x86_64/jre/bin/java -server -Xms32m -Xmx2048m -XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/Linkis/linkis03/logs/linkis-cli -XX:ErrorFile=/Linkis/linkis03/logs/linkis-cli/ps_err_pid%p.log -XX:+UseConcMarkSweepGC -XX:CMSInitiatingOccupancyFraction=80 -XX:+DisableExplicitGC -classpath /Linkis/linkis03/conf/linkis-cli:/Linkis/linkis03/lib/linkis-computation-governance/linkis-client/linkis-cli/*:/Linkis/linkis03/lib/linkis-com [...]
+[INFO] LogFile path: /Linkis/linkis03/logs/linkis-cli/linkis-client.root.log.20220418221952287912946
+[INFO] User does not provide usr-configuration file. Will use default config
+[INFO] connecting to linkis gateway:http://127.0.0.1:9001
+JobId:6
+TaskId:6
+ExecId:exec_id018028linkis-cg-entranceiZbp19q51jb8p984yk2jxdZ:9104LINKISCLI_test_shell_1
+[INFO] Job is successfully submitted!
+
+2022-04-18 22:19:53.019 INFO Program is substituting variables for you
+2022-04-18 22:19:53.019 INFO Variables substitution ended successfully
+2022-04-18 22:19:53.019 WARN The code you submit will not be limited by the limit
+Job with jobId : LINKISCLI_test_shell_1 and execID : LINKISCLI_test_shell_1 submitted
+2022-04-18 22:19:53.019 INFO You have submitted a new job, script code (after variable substitution) is
+************************************SCRIPT CODE************************************
+echo "hello"
+************************************SCRIPT CODE************************************
+2022-04-18 22:19:53.019 INFO Your job is accepted, jobID is LINKISCLI_test_shell_1 and jobReqId is 6 in ServiceInstance(linkis-cg-entrance, iZbp19q51jb8p984yk2jxdZ:9104). Please wait it to be scheduled
+job is scheduled.
+2022-04-18 22:19:53.019 INFO Your job is Scheduled. Please wait it to run.
+Your job is being scheduled by orchestrator.
+2022-04-18 22:19:53.019 INFO job is running.
+2022-04-18 22:19:53.019 INFO Your job is Running now. Please wait it to complete.
+2022-04-18 22:19:53.019 INFO Job with jobGroupId : 6 and subJobId : 5 was submitted to Orchestrator.
+2022-04-18 22:19:53.019 INFO Background is starting a new engine for you,execId astJob_4_codeExec_4 mark id is mark_4, it may take several seconds, please wait
+2022-04-18 22:20:01.020 INFO Task submit to ec: ServiceInstance(linkis-cg-engineconn, iZbp19q51jb8p984yk2jxdZ:43213) get engineConnExecId is: 1
+2022-04-18 22:20:01.020 INFO EngineConn local log path: ServiceInstance(linkis-cg-engineconn, iZbp19q51jb8p984yk2jxdZ:43213) /appcom1/tmp/test/20220418/shell/cc21fbb5-3a33-471b-a565-8407ff8ebd80/logs
+iZbp19q51jb8p984yk2jxdZ:43213_0 >> echo "hello"
+2022-04-18 22:20:01.438 WARN [Linkis-Default-Scheduler-Thread-1] org.apache.linkis.engineconn.computation.executor.hook.executor.ExecuteOnceHook 50 warn - execute once become effective, register lock listener
+hello
+2022-04-18 22:20:01.020 INFO Your subjob : 5 execue with state succeed, has 1 resultsets.
+2022-04-18 22:20:01.020 INFO Congratuaions! Your job : LINKISCLI_test_shell_1 executed with status succeed and 0 results.
+2022-04-18 22:20:01.020 INFO job is completed.
+2022-04-18 22:20:01.020 INFO Task creation time(任务创建时间): 2022-04-18 22:19:53, Task scheduling time(任务调度时间): 2022-04-18 22:19:53, Task start time(任务开始时间): 2022-04-18 22: Mission end time(任务结束时间): 2022-04-18 22:20:01
+2022-04-18 22:20:01.020 INFO Your mission(您的任务) 6 The total time spent is(总耗时时间为): 8.3 秒
+2022-04-18 22:20:01.020 INFO Congratulations. Your job completed with status Success.
+
+[INFO] Job execute successfully! Will try get execute result
+============Result:================
+TaskId:6
+ExecId: exec_id018028linkis-cg-entranceiZbp19q51jb8p984yk2jxdZ:9104LINKISCLI_test_shell_1
+User:test
+Current job status:SUCCEED
+extraMsg:
+result:
+
+[INFO] Retrieving result-set, may take time if result-set is large, please do not exit program.
+============ RESULT SET 1 ============
+hello
+############Execute Success!!!########
+
+```
\ No newline at end of file
diff --git a/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick/live-demo.md b/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick/live-demo.md
new file mode 100644
index 0000000000..26be4bdbf2
--- /dev/null
+++ b/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick/live-demo.md
@@ -0,0 +1,281 @@
+---
+title: 沙箱体验
+sidebar_position: 1.9
+---
+
+
+
+## **1. 沙箱环境整体介绍**
+
+### **1.1 获取邀请码**
+
+扫描以下二维码，添加“WeDataSphere开源社区小助手”，根据小助手提示，提供相关信息获取邀请码。
+
+
+
+### **1.2 注册和登录使用**
+
+通过1.1获取到邀请码后，即可进行注册和使用。
+
+第一步：打开注册页面链接 https://dss-open.wedatasphere.com/#/register，填写相关信息，成功注册
+
+
+
+第二步：打开DSS沙箱页面 https://dss-open.wedatasphere.com/#/login，用注册的账号和密码进行登录；
+
+- 登录账号：注册的手机号；
+- 登录密码：手机号后六位数字；
+
+
+
+### **1.3 界面说明**
+
+**重要说明：出于安全考虑，沙箱环境不支持`新增/修改`等操作，仅支持查询/查看的功能。**
+
+
+
+（1）成功登陆账户之后，会跳转到DSS的首页。首页顶部默认包括了管理台和Scriptis的入口，也可以添加其他组件入口到顶部导航栏。在首页进行切换工作空间，选中工作空间中的项目。目前已配置了**AIIDEMO**供大家体验，点击对应的项目即可。
+
+
+
+（2）管理台：Linkis计算治理管理台，在这个页面能够看到所有脚本执行的情况、对全局资源进行管理、对参数和变量配置进行配置、进行数据源和UDF管理，是个非常重要的页面；
+
+
+
+（3）Scriptis：支持在线写SQL、Pyspark、HiveQL等脚本，提交给Linkis执行的数据分析Web工具，且支持UDF、函数、资源管控和智能诊断等企业级特性。目前沙箱环境出于安全考虑，没有提供python、shell的demo。
+
+
+
+
+
+### **1.4 导航栏配置**
+
+为了更快捷的使用Qualitis、Scheduis、Visualis、Exchangis组件，可以把相对应的入口添加到顶部导航栏。操作方法：点击左上角入口，把对应的组件添加到导航栏。
+
+
+
+##
+
+## **2. 创建项目和工作流**
+
+出于安全考虑，目前沙箱环境暂不支持创建项目和工作流的功能。各位开发者可以在自行搭建的环境中按照以下步骤进行使用。
+
+DSS支持使用工作流的方式，接下来跟着我一步一步来使用。
+
+（1）在工作空间“bdapWorkspace”中点击“创建项目”；
+
+
+
+（2）在弹窗中填入项目的参数，如下图
+
+
+
+由于沙箱环境出于安全考虑，禁止创建工程，因此会提示以下错误。自行搭建DSS环境，可以按照上述方法进行创建工程。
+
+
+
+
+
+（3）创建成功后在首页可以看到项目 BI_20220804；
+
+
+
+
+
+（4）点击进入创建好的项目“BI_20220804 ”，点击添加工作流
+
+
+
+
+
+（5）填写工作流信息
+
+
+
+
+
+
+
+（6）进入项目工作流DEMO，我们可以看到完整的工作流界面了；
+
+
+
+
+
+## **3. DEMO工作流组件说明**
+
+目前支持7类工作流节点，使用这类节点可以完成数据同步、数据分析、数据质量管理、数据可视化等任务。
+
+我们直接进入AIIDEMO，点击执行，运行整个DEMO。
+
+
+
+
+
+### **3.1 数据交换**
+
+使用sqoop节点，让dss与目标数据库之间进行数据交换。
+
+（1）双击“Data Sync”数据交换节点；
+
+
+
+
+
+（2）进入到节点编辑界面，可以看到节点的详情；从Hvie同步数据到MYSQL中；
+
+
+
+
+
+（3）点击数据源Hive，在弹窗中看到数据源的配置详情，数据源为：“bdptest10_db.presure_testx”
+
+
+
+
+
+（4）点击要同步到的数据库为：dss_meta_open.presure_testx
+
+
+
+
+
+
+
+（5）同步的字段为：objectid，intcolumn、doublecolumn、floatcolumn；
+
+
+
+（6）我们也可以通过顶部导航栏“Exchangis”进入组件页面，可以查看到全部的数据交换节点和进行数据交换管理。
+
+
+
+
+
+### **3.2 数据开发**
+
+支持sql、python、pyspark、shell等语言，用于数据开发。直接把节点拖出来，然后双击进入节点的界面进行撰写代码。
+
+（1）我们在DEMO双击“source_data”节点；
+
+
+
+
+
+（2）进入编辑界面，撰写对应的脚本语言，进行执行，即可得到相关的执行结果；
+
+
+
+
+
+### **3.3 数据质量**
+
+使用qualitis进行数据质量校验。
+
+（1）点击数据质量节点“qualitis_200”
+
+
+
+
+
+（2）进入数据校验界面，看到当前配置的校验规则；
+
+
+
+
+
+（3）通过点击上图中的添加规则，选择不同的校验模板；
+
+
+
+
+
+（4）通过点击顶部导航菜单“Qualitis”直接进入数据质量的管理台。
+
+
+
+
+
+### **3.4 可视化**
+
+使用visualis组件进行可视化BI分析。在沙箱环境中，有**DEMO**完整的例子可以进行参考。
+
+（1）选中项目，点击“执行”；等待全部执行成功；
+
+
+
+
+
+（2）点击对应的数据可视化节点，可以看到已经生成的数据图表。
+
+
+
+
+
+
+
+
+
+（3）可以通过点击顶部导航菜单“Visualis”直接进入可视化管理台，里面可以看到跟可视化相关的组件。
+
+
+
+（4）如果想进一步详细了解可视化能力，请查看视频教程《使用 DataSphere Studio(DSS)实现大数据可视化》：https://www.bilibili.com/video/BV1xY4y1t7Ma
+
+
+
+###
+
+### **3.5 信号节点**
+
+目前支持三种功能节点，分别为：datachecker、eventsender、eventreceiver。信号节点常用的场景：
+
+1. 在跑批量工作任务前需要检查数据是否齐全，可以使用datachecker；
+2. 完成某项工作后，需要通知其他工作流进行工作，使用eventsender进行发送通知；
+3. 使用eventreceiver监听信号，一旦接收到eventsender发过来的信号，就执行相对应的工作任务；
+
+
+
+
+
+### **3.6 功能节点**
+
+支持connector和subFlow节点。
+
+（1）connector节点仅作为工作流的连接节点，不承担任何功能。
+
+（2）subFlow是子工作流节点，可以理解为单独的工作流。在复杂的工作流场景中可以使用subFlow节点简化主工作流的流程。
+
+
+
+
+
+### **3.7 数据输出**
+
+支持通过邮件发送的方式
+
+
+
+###
+
+### **3.8 调度中心**
+
+（1）当我们在编辑模式中完成了工作流开发和测试后，可以点击“发布”按钮，直接发布到调度中心。
+
+
+
+
+
+（2）点击“前往调度中心”或者通过导航顶部的“Schedulis”都可以进入到调度中心管理台。在调度中心中可以进行调度管理，查看工作流状态。
+
+
+
+## **4. 常见错误**
+
+目前沙箱环境仅开放部分功能给社区开发者进行体验，通过使用沙箱环境能有助于开发者快速了解WDS生态。
+
+出于安全考虑，沙箱环境仅提供查看/查询/执行等功能，如出现“沙箱环境仅允许执行有限的查询操作”、“沙箱环境不许创建工程”、“后台接口异常，请联系开发处理”等等的错误提示，属于正常现象。
+
+如有任何疑问，请微信联系小助手进行反馈。
+
+
diff --git a/src/components/contributors.json b/src/components/contributors.json
index a1ee0770a3..70ddb5e8a8 100644
--- a/src/components/contributors.json
+++ b/src/components/contributors.json
@@ -1,2396 +1 @@
-[
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- "id": 11496700,
- "node_id": "MDQ6VXNlcjExNDk2NzAw",
- "avatar_url": "https://avatars.githubusercontent.com/u/11496700?v=4",
- "gravatar_id": "",
- "url": "https://api.github.com/users/peacewong",
- "html_url": "https://github.com/peacewong",
- "followers_url": "https://api.github.com/users/peacewong/followers",
- "following_url": "https://api.github.com/users/peacewong/following{/other_user}",
- "gists_url": "https://api.github.com/users/peacewong/gists{/gist_id}",
- "starred_url": "https://api.github.com/users/peacewong/starred{/owner}{/repo}",
- "subscriptions_url": "https://api.github.com/users/peacewong/subscriptions",
- "organizations_url": "https://api.github.com/users/peacewong/orgs",
- "repos_url": "https://api.github.com/users/peacewong/repos",
- "events_url": "https://api.github.com/users/peacewong/events{/privacy}",
- "received_events_url": "https://api.github.com/users/peacewong/received_events",
- "type": "User",
- "site_admin": false,
- "contributions": 843
- },
- {
- "login": "wushengyeyouya",
- "id": 13635442,
- "node_id": "MDQ6VXNlcjEzNjM1NDQy",
- "avatar_url": "https://avatars.githubusercontent.com/u/13635442?v=4",
- "gravatar_id": "",
- "url": "https://api.github.com/users/wushengyeyouya",
- "html_url": "https://github.com/wushengyeyouya",
- "followers_url": "https://api.github.com/users/wushengyeyouya/followers",
- "following_url": "https://api.github.com/users/wushengyeyouya/following{/other_user}",
- "gists_url": "https://api.github.com/users/wushengyeyouya/gists{/gist_id}",
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- "received_events_url": "https://api.github.com/users/wushengyeyouya/received_events",
- "type": "User",
- "site_admin": false,
- "contributions": 273
- },
- {
- "login": "casionone",
- "id": 7869972,
- "node_id": "MDQ6VXNlcjc4Njk5NzI=",
- "avatar_url": "https://avatars.githubusercontent.com/u/7869972?v=4",
- "gravatar_id": "",
- "url": "https://api.github.com/users/casionone",
- "html_url": "https://github.com/casionone",
- "followers_url": "https://api.github.com/users/casionone/followers",
- "following_url": "https://api.github.com/users/casionone/following{/other_user}",
- "gists_url": "https://api.github.com/users/casionone/gists{/gist_id}",
- "starred_url": "https://api.github.com/users/casionone/starred{/owner}{/repo}",
- "subscriptions_url": "https://api.github.com/users/casionone/subscriptions",
- "organizations_url": "https://api.github.com/users/casionone/orgs",
- "repos_url": "https://api.github.com/users/casionone/repos",
- "events_url": "https://api.github.com/users/casionone/events{/privacy}",
- "received_events_url": "https://api.github.com/users/casionone/received_events",
- "type": "User",
- "site_admin": false,
- "contributions": 262
- },
- {
- "login": "yangzhiyue",
- "id": 26363549,
- "node_id": "MDQ6VXNlcjI2MzYzNTQ5",
- "avatar_url": "https://avatars.githubusercontent.com/u/26363549?v=4",
- "gravatar_id": "",
- "url": "https://api.github.com/users/yangzhiyue",
- "html_url": "https://github.com/yangzhiyue",
- "followers_url": "https://api.github.com/users/yangzhiyue/followers",
- "following_url": "https://api.github.com/users/yangzhiyue/following{/other_user}",
- "gists_url": "https://api.github.com/users/yangzhiyue/gists{/gist_id}",
- "starred_url": "https://api.github.com/users/yangzhiyue/starred{/owner}{/repo}",
- "subscriptions_url": "https://api.github.com/users/yangzhiyue/subscriptions",
- "organizations_url": "https://api.github.com/users/yangzhiyue/orgs",
- "repos_url": "https://api.github.com/users/yangzhiyue/repos",
- "events_url": "https://api.github.com/users/yangzhiyue/events{/privacy}",
- "received_events_url": "https://api.github.com/users/yangzhiyue/received_events",
- "type": "User",
- "site_admin": false,
- "contributions": 157
- },
- {
- "login": "xiaojie19852006",
- "id": 32708280,
- "node_id": "MDQ6VXNlcjMyNzA4Mjgw",
- "avatar_url": "https://avatars.githubusercontent.com/u/32708280?v=4",
- "gravatar_id": "",
- "url": "https://api.github.com/users/xiaojie19852006",
- "html_url": "https://github.com/xiaojie19852006",
- "followers_url": "https://api.github.com/users/xiaojie19852006/followers",
- "following_url": "https://api.github.com/users/xiaojie19852006/following{/other_user}",
- "gists_url": "https://api.github.com/users/xiaojie19852006/gists{/gist_id}",
- "starred_url": "https://api.github.com/users/xiaojie19852006/starred{/owner}{/repo}",
- "subscriptions_url": "https://api.github.com/users/xiaojie19852006/subscriptions",
- "organizations_url": "https://api.github.com/users/xiaojie19852006/orgs",
- "repos_url": "https://api.github.com/users/xiaojie19852006/repos",
- "events_url": "https://api.github.com/users/xiaojie19852006/events{/privacy}",
- "received_events_url": "https://api.github.com/users/xiaojie19852006/received_events",
- "type": "User",
- "site_admin": false,
- "contributions": 132
- },
- {
- "login": "Alexkun",
- "id": 11203920,
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- "gists_url": "https://api.github.com/users/Alexkun/gists{/gist_id}",
- "starred_url": "https://api.github.com/users/Alexkun/starred{/owner}{/repo}",
- "subscriptions_url": "https://api.github.com/users/Alexkun/subscriptions",
- "organizations_url": "https://api.github.com/users/Alexkun/orgs",
- "repos_url": "https://api.github.com/users/Alexkun/repos",
- "events_url": "https://api.github.com/users/Alexkun/events{/privacy}",
- "received_events_url": "https://api.github.com/users/Alexkun/received_events",
- "type": "User",
- "site_admin": false,
- "contributions": 109
- },
- {
- "login": "leeebai",
- "id": 39912100,
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- "id": 2619346,
- "node_id": "MDQ6VXNlcjI2MTkzNDY=",
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- "repos_url": "https://api.github.com/users/MountHuang/repos",
- "events_url": "https://api.github.com/users/MountHuang/events{/privacy}",
- "received_events_url": "https://api.github.com/users/MountHuang/received_events",
- "type": "User",
- "site_admin": false,
- "contributions": 47
- },
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- "id": 4495830,
- "node_id": "MDQ6VXNlcjQ0OTU4MzA=",
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- "html_url": "https://github.com/jackxu2011",
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- "repos_url": "https://api.github.com/users/jackxu2011/repos",
- "events_url": "https://api.github.com/users/jackxu2011/events{/privacy}",
- "received_events_url": "https://api.github.com/users/jackxu2011/received_events",
- "type": "User",
- "site_admin": false,
- "contributions": 46
- },
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- "login": "CCweixiao",
- "id": 27730211,
- "node_id": "MDQ6VXNlcjI3NzMwMjEx",
- "avatar_url": "https://avatars.githubusercontent.com/u/27730211?v=4",
- "gravatar_id": "",
- "url": "https://api.github.com/users/CCweixiao",
- "html_url": "https://github.com/CCweixiao",
- "followers_url": "https://api.github.com/users/CCweixiao/followers",
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- "starred_url": "https://api.github.com/users/CCweixiao/starred{/owner}{/repo}",
- "subscriptions_url": "https://api.github.com/users/CCweixiao/subscriptions",
- "organizations_url": "https://api.github.com/users/CCweixiao/orgs",
- "repos_url": "https://api.github.com/users/CCweixiao/repos",
- "events_url": "https://api.github.com/users/CCweixiao/events{/privacy}",
- "received_events_url": "https://api.github.com/users/CCweixiao/received_events",
- "type": "User",
- "site_admin": false,
- "contributions": 41
- },
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- "id": 23493050,
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- "avatar_url": "https://avatars.githubusercontent.com/u/23493050?v=4",
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- "subscriptions_url": "https://api.github.com/users/HmhWz/subscriptions",
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- "repos_url": "https://api.github.com/users/HmhWz/repos",
- "events_url": "https://api.github.com/users/HmhWz/events{/privacy}",
- "received_events_url": "https://api.github.com/users/HmhWz/received_events",
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- "site_admin": false,
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