产品迭代更新 | 阿列夫科技基于Linkis+DataSphere Studio的单机安装部署实战

作者：萧寒

GitHub ID ：hx23840

阿列夫科技原来的技术平台是基于 Hadoop，Spark 平台搭建的，为了充分的满足业务需求，做了大量接口封装。但是随着业务发展，现有技术平台日渐满足不了业务需求。Apache Linkis 提供了统一的对接方式，同时，在性能方面也有了极大提升，满足了我们在产品迭代更新的需求。如下是基于 Apache Linkis + DataSphere Studio 的单机安装部署实战内容，请君享用。

阿列夫科技：https://www.alephf.com/

一、环境以及版本

• CentOS 7

• DataSphere Studio1.1.0

• Jdk-8

• Hadoop 2.7.2

• Hive 2.3.3

• Spark 2.4.3

• MySQL 5.5

二、基础环境准备

1、基础软件安装

sudo yum install -y telnet tar sed dos2unix mysql unzip zip expect python java-1.8.0-openjdk java-1.8.0-openjdk-devel

nginx安装特殊一些，不在默认的 yum 源中，可以使用 epel 或者官网的 yum 源，本例使用官网的 yum 源

sudo rpm -ivh http://nginx.org/packages/centos/7/noarch/RPMS/nginx-release-centos-7-0.el7.ngx.noarch.rpm

sudo yum install -y nginx

sudo systemctl enable nginx
sudo systemctl start nginx

MySQL (5.5+); JDK (1.8.0_141 以上); Python(2.x 和 3.x 都支持); Nginx

特别注意 MySQL 和 JDK 版本，否则后面启动会有问题

2、Hadoop 安装

采用官方安装包安装，要求 Hadoop 版本对应如下

Hadoop (2.7.2，Hadoop 其他版本需自行编译 Linkis) ，安装的机器必须支持执行 hdfs dfs -ls / 命令

官方下载页面 https://hadoop.apache.org/release/2.7.2.html

安装步骤，创建用户

sudo useradd hadoop

修改 hadoop 用户，切换到 root 帐号，编辑 /etc/sudoers（可以使用 visudo 或者用 vi，不过vi 要强制保存才可以），添加下面内容到文件最下方

hadoop  ALL=(ALL)  NOPASSWD: NOPASSWD: ALL

切换回 hadoop 用户，解压缩安装包

su hadoop

tar xvf hadoop-2.7.2.tar.gz
sudo mkdir -p /opt/hadoop
sudo mv hadoop-2.7.2 /opt/hadoop/

配置环境变量

sudo vim /etc/profile

添加如下内容（偷下懒，把后面的 Hive 和 Spark 环境变量也一同配置好了）

export HADOOP_HOME=/opt/hadoop/hadoop-2.7.2
export HIVE_CONF_DIR=/opt/hive/apache-hive-2.3.3-bin/conf
export HIVE_AUX_JARS_PATH=/opt/hive/apache-hive-2.3.3-bin/lib
export HIVE_HOME=/opt/hive/apache-hive-2.3.3-bin
export SPARK_HOME=/opt/spark/spark-2.4.3-bin-without-hadoop
export HADOOP_CONF_DIR=/opt/hadoop/hadoop-2.7.2/etc/hadoop

export JAVA_HOME=/usr/lib/jvm/java-1.8.0-openjdk-1.8.0.342.b07-1.el7_9.x86_64
export PATH=$JAVA_HOME/bin:$PATH:$HADOOP_HOME/bin:$HIVE_HOME/bin:$SPARK_HOME/bin
export CLASSPATH=.:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar

export HADOOP_COMMON_LIB_NATIVE_DIR=$HADOOP_HOME/lib/native
export HADOOP_OPTS="-Djava.library.path=$HADOOP_HOME/lib"

使配置生效

source /etc/profile

配置免密登录，过程是先生成公私钥，再把公钥拷贝到对应的帐号下

ssh-keygen

ssh-copy-id -i ~/.ssh/id_rsa.pub [email protected]

配置成功后，测试下是否成功，如果不需要输入密码，证明配置成功。

ssh localhost

添加 hosts 解析

sudo vi /etc/hosts

修改后

192.168.1.211  localhost

127.0.0.1   localhost localhost.localdomain localhost4 localhost4.localdomain4
::1         localhost localhost.localdomain localhost6 localhost6.localdomain6
127.0.0.1 namenode

配置 Hadoop

mkdir  -p /opt/hadoop/hadoop-2.7.2/hadoopinfra/hdfs/namenode
mkdir  -p /opt/hadoop/hadoop-2.7.2/hadoopinfra/hdfs/datanode

vi /opt/hadoop/hadoop-2.7.2/etc/hadoop/core-site.xml

core-site.xml 修改如下

fs.defaultFS
hdfs://127.0.0.1:9000




hadoop.tmp.dir
/opt/hadoop/hadoop-2.7.2/data/tmp



hadoop.proxyuser.hadoop.hosts
*


hadoop.proxyuser.hadoop.groups
*

修改 Hadoop 的 hdfs 目录配置

vi /opt/hadoop/hadoop-2.7.2/etc/hadoop/hdfs-site.xml

hdfs-site.xml 修改如下

dfs.replication
1


dfs.name.dir
/opt/hadoop/hadoop-2.7.2/hadoopinfra/hdfs/namenode


dfs.data.dir
/opt/hadoop/hadoop-2.7.2/hadoopinfra/hdfs/datanode

修改 Hadoop 的 yarn 配置

vi /opt/hadoop/hadoop-2.7.2/etc/hadoop/yarn-site.xml

yarn-site.xml 修改如下

yarn.nodemanager.aux-services
mapreduce_shuffle



yarn.nodemanager.vmem-check-enabled
false
Whether virtual memory limits will be enforced for containers


yarn.nodemanager.vmem-pmem-ratio
4
Ratio between virtual memory to physical memory when setting memory limits for containers

修改 mapred

cp /opt/hadoop/hadoop-2.7.2/etc/hadoop/mapred-site.xml.template /opt/hadoop/hadoop-2.7.2/etc/hadoop/mapred-site.xml

vi /opt/hadoop/hadoop-2.7.2/etc/hadoop/mapred-site.xml

mapred-site.xml 修改如下

mapreduce.framework.nameyarn

修改 Hadoop 环境配置文件

vi /opt/hadoop/hadoop-2.7.2/etc/hadoop/hadoop-env.sh

修改JAVA_HOME
export JAVA_HOME=/usr/lib/jvm/java-1.8.0-openjdk-1.8.0.342.b07-1.el7_9.x86_64/

初始化hadoop

hdfs namenode -format/opt/hadoop/hadoop-2.7.2/sbin/start-dfs.sh /opt/hadoop/hadoop-2.7.2/sbin/start-yarn.sh

临时关闭防火墙

sudo systemctl stop firewalld

浏览器访问 Hadoop

访问 hadoop 的默认端口号为 50070

3、Hive 安装

采用官方安装包安装，要求 Hive 版本对应如下

Hive(2.3.3，Hive 其他版本需自行编译 Linkis)，安装的机器必须支持执行 hive -e “show databases” 命令

官方下载页面 https://archive.apache.org/dist/hive/hive-2.3.3/

tar xvf apache-hive-2.3.3-bin.tar.gzsudo mkdir -p /opt/hivesudo mv apache-hive-2.3.3-bin /opt/hive/

修改配置文件

cd /opt/hive/apache-hive-2.3.3-bin/conf/sudo cp hive-env.sh.template hive-env.shsudo cp hive-default.xml.template hive-site.xmlsudo cp hive-log4j2.properties.template hive-log4j2.propertiessudo cp hive-exec-log4j2.properties.template hive-exec-log4j2.properties

在Hadoop中创建文件夹并设置权限

hadoop fs -mkdir -p /data/hive/warehousehadoop fs -mkdir /data/hive/tmphadoop fs -mkdir /data/hive/loghadoop fs -chmod -R 777 /data/hive/warehousehadoop fs -chmod -R 777 /data/hive/tmphadoop fs -chmod -R 777 /data/hive/loghadoop fs -mkdir -p /spark-eventlog

修改hive配置文件

sudo vi hive-site.xml

配置文件如下

  hive.exec.scratchdir  hdfs://127.0.0.1:9000/data/hive/tmp   hive.metastore.warehouse.dir  hdfs://127.0.0.1:9000/data/hive/warehouse  hive.querylog.location  hdfs://127.0.0.1:9000/data/hive/log  hive.metastore.schema.verification  false  javax.jdo.option.ConnectionURL  jdbc:mysql://127.0.0.1:3306/hive?createDatabaseIfNotExist=true  javax.jdo.option.ConnectionDriverName   com.mysql.jdbc.Driver  javax.jdo.option.ConnectionUserName  root  javax.jdo.option.ConnectionPassword       system:java.io.tmpdir    /tmp/hive/java        system:user.name    hadoop       hive.exec.local.scratchdir    /opt/hive/apache-hive-2.3.3-bin/tmp/${system:user.name}    Local scratch space for Hive jobs        hive.downloaded.resources.dir    /opt/hive/apache-hive-2.3.3-bin/tmp/${hive.session.id}_resources    Temporary local directory for added resources in the remote file system.      hive.server2.logging.operation.log.location    /opt/hive/apache-hive-2.3.3-bin/tmp/root/operation_logs    Top level directory where operation logs are stored if logging functionality is enabled  

配置 hive 中 jdbc 的 MySQL 驱动

cd /opt/hive/apache-hive-2.3.3-bin/lib/
wget https://downloads.mysql.com/archives/get/p/3/file/mysql-connector-java-5.1.49.tar.gz
tar xvf mysql-connector-java-5.1.49.tar.gz 
cp mysql-connector-java-5.1.49/mysql-connector-java-5.1.49.jar .

配置环境变量

sudo vi /opt/hive/apache-hive-2.3.3-bin/conf/hive-env.shexport HADOOP_HOME=/opt/hadoop/hadoop-2.7.2export HIVE_CONF_DIR=/opt/hive/apache-hive-2.3.3-bin/confexport HIVE_AUX_JARS_PATH=/opt/hive/apache-hive-2.3.3-bin/lib

初始化 schema

/opt/hive/apache-hive-2.3.3-bin/bin/schematool -dbType mysql -initSchema

初始化完成后修改MySQL链接信息，之后配置MySQL IP 端口以及放元数据的库名称

vi /opt/hive/apache-hive-2.3.3-bin/conf/hive-site.xml  javax.jdo.option.ConnectionURL  jdbc:mysql://127.0.0.1:3306/hive?characterEncoding=utf8&useSSL=falsenohup hive --service metastore >> metastore.log 2>&1 &nohup hive --service hiveserver2 >> hiveserver2.log 2>&1 &

```

验证安装

```
hive -e "show databases"

```

**4、Spark** **安装**
------------------

采用官方安装包安装，要求 Spark 版本对应如下

Spark (支持2.0 以上所有版本) ，一键安装版本，需要 2.4.3 版本，安装的机器必须支持执行 spark-sql -e "show databases" 命令

官方下载页面 https://archive.apache.org/dist/spark/spark-2.4.3/

安装

```
tar xvf spark-2.4.3-bin-without-hadoop.tgzsudo mkdir -p /opt/sparksudo mv spark-2.4.3-bin-without-hadoop /opt/spark/

```

配置spark环境变量以及备份配置文件

```
cd /opt/spark/spark-2.4.3-bin-without-hadoop/conf/cp spark-env.sh.template spark-env.shcp spark-defaults.conf.template spark-defaults.confcp metrics.properties.template metrics.propertiescp workers.template workers

```

配置程序的环境变量

```
vi spark-env.shexport JAVA_HOME=/usr/lib/jvm/java-1.8.0-openjdk-1.8.0.342.b07-1.el7_9.x86_64export HADOOP_HOME=/opt/hadoop/hadoop-2.7.2export HADOOP_CONF_DIR=/opt/hadoop/hadoop-2.7.2/etc/hadoopexport SPARK_DIST_CLASSPATH=$(/opt/hadoop/hadoop-2.7.2/bin/hadoop classpath)export SPARK_MASTER_HOST=127.0.0.1export SPARK_MASTER_PORT=7077export SPARK_HISTORY_OPTS="-Dspark.history.ui.port=18080 -Dspark.history.retainedApplications=50 -Dspark.history.fs.logDirectory=hdfs://127.0.0.1:9000/spark-eventlog"

```

修改默认的配置文件

```
vi spark-defaults.confspark.master                     spark://127.0.0.1:7077spark.eventLog.enabled           truespark.eventLog.dir               hdfs://127.0.0.1:9000/spark-eventlogspark.serializer                 org.apache.spark.serializer.KryoSerializerspark.driver.memory              3gspark.eventLog.enabled           truespark.eventLog.dir               hdfs://127.0.0.1:9000/spark-eventlogspark.eventLog.compress          true

```

配置工作节点

```
vi workers127.0.0.1

```

配置 hive

```
cp /opt/hive/apache-hive-2.3.3-bin/conf/hive-site.xml /opt/spark/spark-2.4.3-bin-without-hadoop/conf

```

```
验证应用程序

/opt/spark/spark-2.4.3-bin-without-hadoop/sbin/start-all.sh

访问集群中的所有应用程序的默认端口号为 8080

验证安装

spark-sql -e “show databases”

提示

Error: Failed to load class org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.
Failed to load main class org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.
You need to build Spark with -Phive and -Phive-thriftserver.

  

查找原因是因为没有集成hadoop的spark没有hive驱动，按网上的讲法，要么自己编译带驱动版本，要么把驱动文件直接放到jars目录。第一种太麻烦，第二种没成功，我用的第三种方法。下载对应版本集成了hadoop的spark安装包，直接覆盖原来的jars目录

tar xvf spark-2.4.3-bin-hadoop2.7.tgz
cp -rf spark-2.4.3-bin-hadoop2.7/jars/ /opt/spark/spark-2.4.3-bin-without-hadoop/

  

如果提示缺少 MySQL 驱动，可以将 mysql-connector-java-5.1.49/mysql-connector-java-5.1.49.jar 放入到 spark 的 jars 目录

  

如果本地没有相关驱动，执行下面脚本

cd /opt/spark/spark-2.4.3-bin-without-hadoop/jars

wget https://downloads.mysql.com/archives/get/p/3/file/mysql-connector-java-5.1.49.tar.gz
tar xvf mysql-connector-java-5.1.49.tar.gz
cp mysql-connector-java-5.1.49/mysql-connector-java-5.1.49.jar .

5、DataSphere Studio 安装

准备安装包
-----

unzip -d dss dss_linkis_one-click_install_20220704.zipsudo yum -y install epel-releasesudo yum install -y python-pippython -m pip install matplotlib

修改配置
----

用户需要对 xx/dss\_linkis/conf 目录下的 config.sh 和 db.sh 进行修改

deploy userdeployUser=hadoop### Linkis_VERSIONLINKIS_VERSION=1.1.1### DSS WebDSS_NGINX_IP=127.0.0.1DSS_WEB_PORT=8085### DSS VERSIONDSS_VERSION=1.1.0############## ############## linkis的其他默认配置信息 start ############## ################# Specifies the user workspace, which is used to store the user’s script files and log files.### Generally local directory##file:// requiredWORKSPACE_USER_ROOT_PATH=file:///tmp/linkis/ ### User’s root hdfs path##hdfs:// requiredHDFS_USER_ROOT_PATH=hdfs:///tmp/linkis ### Path to store job ResultSet:file or hdfs path##hdfs:// requiredRESULT_SET_ROOT_PATH=hdfs:///tmp/linkis ### Path to store started engines and engine logs, must be localENGINECONN_ROOT_PATH=/appcom/tmp#ENTRANCE_CONFIG_LOG_PATH=hdfs:///tmp/linkis/ ##hdfs:// required###HADOOP CONF DIR #/appcom/config/hadoop-configHADOOP_CONF_DIR=/opt/hadoop/hadoop-2.7.2/etc/hadoop###HIVE CONF DIR #/appcom/config/hive-configHIVE_CONF_DIR=/opt/hive/apache-hive-2.3.3-bin/conf###SPARK CONF DIR #/appcom/config/spark-configSPARK_CONF_DIR=/opt/spark/spark-2.4.3-bin-without-hadoop/conf# for installLINKIS_PUBLIC_MODULE=lib/linkis-commons/public-module##YARN REST URL spark engine requiredYARN_RESTFUL_URL=http://127.0.0.1:8088## Engine version conf#SPARK_VERSIONSPARK_VERSION=2.4.3##HIVE_VERSIONHIVE_VERSION=2.3.3PYTHON_VERSION=python2## LDAP is for enterprise authorization, if you just want to have a try, ignore it.#LDAP_URL=ldap://localhost:1389/#LDAP_BASEDN=dc=webank,dc=com#LDAP_USER_NAME_FORMAT=cn=%[email protected],OU=xxx,DC=xxx,DC=com################### The install Configuration of all Linkis’s Micro-Services ####################### NOTICE:# 1. If you just wanna try, the following micro-service configuration can be set without any settings.# These services will be installed by default on this machine.# 2. In order to get the most complete enterprise-level features, we strongly recommend that you install# the following microservice parameters#### EUREKA install information### You can access it in your browser at the address below:http://$EUREK{A}_{I}NSTAL{L}_{I}P:${EUREKA_PORT}### Microservices Service Registration Discovery CenterLINKIS_EUREKA_INSTALL_IP=127.0.0.1LINKIS_EUREKA_PORT=9600#LINKIS_EUREKA_PREFER_IP=true### Gateway install information#LINKIS_GATEWAY_INSTALL_IP=127.0.0.1LINKIS_GATEWAY_PORT=9001### ApplicationManager#LINKIS_MANAGER_INSTALL_IP=127.0.0.1LINKIS_MANAGER_PORT=9101### EngineManager#LINKIS_ENGINECONNMANAGER_INSTALL_IP=127.0.0.1LINKIS_ENGINECONNMANAGER_PORT=9102### EnginePluginServer#LINKIS_ENGINECONN_PLUGIN_SERVER_INSTALL_IP=127.0.0.1LINKIS_ENGINECONN_PLUGIN_SERVER_PORT=9103### LinkisEntrance#LINKIS_ENTRANCE_INSTALL_IP=127.0.0.1LINKIS_ENTRANCE_PORT=9104### publicservice#LINKIS_PUBLICSERVICE_INSTALL_IP=127.0.0.1LINKIS_PUBLICSERVICE_PORT=9105### cs#LINKIS_CS_INSTALL_IP=127.0.0.1LINKIS_CS_PORT=9108########## Linkis微服务配置完毕##### ################### The install Configuration of all DataSphereStudio’s Micro-Services ####################### NOTICE:# 1. If you just wanna try, the following micro-service configuration can be set without any settings.# These services will be installed by default on this machine.# 2. In order to get the most complete enterprise-level features, we strongly recommend that you install# the following microservice parameters#### DSS_SERVER### This service is used to provide dss-server capability.### project-server#DSS_FRAMEWORK_PROJECT_SERVER_INSTALL_IP=127.0.0.1#DSS_FRAMEWORK_PROJECT_SERVER_PORT=9002### orchestrator-server#DSS_FRAMEWORK_ORCHESTRATOR_SERVER_INSTALL_IP=127.0.0.1#DSS_FRAMEWORK_ORCHESTRATOR_SERVER_PORT=9003### apiservice-server#DSS_APISERVICE_SERVER_INSTALL_IP=127.0.0.1#DSS_APISERVICE_SERVER_PORT=9004### dss-workflow-server#DSS_WORKFLOW_SERVER_INSTALL_IP=127.0.0.1#DSS_WORKFLOW_SERVER_PORT=9005### dss-flow-execution-server#DSS_FLOW_EXECUTION_SERVER_INSTALL_IP=127.0.0.1#DSS_FLOW_EXECUTION_SERVER_PORT=9006###dss-scriptis-server#DSS_SCRIPTIS_SERVER_INSTALL_IP=127.0.0.1#DSS_SCRIPTIS_SERVER_PORT=9008###dss-data-api-server#DSS_DATA_API_SERVER_INSTALL_IP=127.0.0.1#DSS_DATA_API_SERVER_PORT=9208###dss-data-governance-server#DSS_DATA_GOVERNANCE_SERVER_INSTALL_IP=127.0.0.1#DSS_DATA_GOVERNANCE_SERVER_PORT=9209###dss-guide-server#DSS_GUIDE_SERVER_INSTALL_IP=127.0.0.1#DSS_GUIDE_SERVER_PORT=9210########## DSS微服务配置完毕################### ############## other default configuration 其他默认配置信息 ############## ################ java application default jvm memoryexport SERVER_HEAP_SIZE=“512M”##sendemail配置，只影响DSS工作流中发邮件功能EMAIL_HOST=smtp.163.comEMAIL_PORT=25EMAIL_USERNAME=xxx@163.comEMAIL_PASSWORD=xxxxxEMAIL_PROTOCOL=smtp### Save the file path exported by the orchestrator serviceORCHESTRATOR_FILE_PATH=/appcom/tmp/dss### Save DSS flow execution service log pathEXECUTION_LOG_PATH=/appcom/tmp/dss

脚本安装
----

cd xx/dss_linkis/binsh install.sh

等待安装脚本执行完毕，再进到 linkis 目录里修改对应的配置文件

修改 linkis-ps-publicservice.properties 配置，否则 hive 数据库刷新不出来表

linkis.metadata.hive.permission.with-login-user-enabled=false

拷贝缺少的 jar

cp /opt/hive/apache-hive-2.3.3-bin/lib/datanucleus-* ~/dss/linkis/lib/linkis-engineconn-plugins/hive/dist/v2.3.3/lib
cp /opt/hive/apache-hive-2.3.3-bin/lib/jdo ~/dss/linkis/lib/linkis-engineconn-plugins/hive/dist/v2.3.3/lib

安装完成后启动

sh start-all.sh

```

启动完成后 eureka 注册页面

![图片](https://img-blog.csdnimg.cn/img_convert/0bfa3c50256fedfb2324774c92ba4e1b.png)

最后一个坑，前端部署完会报权限错误，把前端迁移到 opt 目录，记得修改nginx 配置

```
sudo cp -rf web/ /opt/

```

最后系统启动完毕

![图片](https://img-blog.csdnimg.cn/img_convert/a897df015a9d53911c16e2d8159cd540.png)

征文投稿 持续进行中， 期待大家多多参与~ 

地址（或点击阅读原文）：https://github.com/apache/incubator-linkis/discussions/categories/solicit-articles-%E5%BE%81%E6%96%87

说明：https://github.com/apache/incubator-linkis/discussions/2223

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[WeDataSphere 入门指南](http://mp.weixin.qq.com/s?__biz=MzI4MDkxNzUxMg==&mid=2247487968&idx=1&sn=e8210d2aca97a776a305842dc8162046&chksm=ebb07287dcc7fb918a4176e0b41e0d210656a5a87938127e76a383e89ff58dfc57a5188ab97e&scene=21#wechat_redirect)

  

如何成为社区贡献者

1 ► 官方文档贡献。发现文档的不足、优化文档，持续更新文档等方式参与社区贡献。通过文档贡献，让开发者熟悉如何提交PR和真正参与到社区的建设。参考攻略：[保姆级教程：如何成为Apache Linkis文档贡献者](http://mp.weixin.qq.com/s?__biz=MzI4MDkxNzUxMg==&mid=2247488838&idx=1&sn=3599cbb009751af44ba46720b0b60cf7&chksm=ebb07621dcc7ff37405c5c7ab36193c44ba543d4854b01a23cbc66a12440472a3a0adbc85c5b&scene=21#wechat_redirect)

  

2 ► 代码贡献。我们梳理了社区中简单并且容易入门的的任务，非常适合新人做代码贡献。请查阅新手任务列表：https://github.com/apache/incubator-linkis/issues/1161

  

3 ► 内容贡献：发布WeDataSphere开源组件相关的内容，包括但不限于安装部署教程、使用经验、案例实践等，形式不限，请投稿给小助手。例如：

*   [技术干货 | Linkis实践：新引擎实现流程解析](http://mp.weixin.qq.com/s?__biz=MzI4MDkxNzUxMg==&mid=2247488722&idx=1&sn=6069ac14a2e0ec6f09acb8c8a471914f&chksm=ebb077b5dcc7fea3fcb2df95de0b3a99ecf1f73a86b8c036f1c36c17cce30c1d36b38866fec0&scene=21#wechat_redirect)
    
*   [技术干货 | Prophecis保姆级部署教程](http://mp.weixin.qq.com/s?__biz=MzI4MDkxNzUxMg==&mid=2247488695&idx=1&sn=4020e1bccb565d518c0731b26b9a76ac&chksm=ebb077d0dcc7fec65c3052051f3a7d6d51b160fa82b5b89c06e1e0180080bb85949683f31a32&scene=21#wechat_redirect)
    
*   [社区开发者专栏 | MariaCarrie：Linkis1.0.2安装及使用指南](http://mp.weixin.qq.com/s?__biz=MzI4MDkxNzUxMg==&mid=2247488005&idx=1&sn=df78dfb77f475c2d1ef7ee69568db5c7&chksm=ebb07162dcc7f8749a421038dd51abd7befb08aba8354846d87c61982db6a1ba520d99fd391b&scene=21#wechat_redirect)
    

  

4 ► 社区答疑：积极在社区中进行答疑、分享技术、帮助开发者解决问题等；

  

5 ► 其他：积极参与社区活动、成为社区志愿者、帮助社区宣传、为社区发展提供有效建议等