Merge pull request #3 from WeBankFinTech/dev-0.9.0

Dev 0.9.0

docs/zh_CN/ch3/DSS_User_Tests1_Scala.md

@@ -0,0 +1,82 @@
+# DSS用户测试样例1：Scala
+
+DSS用户测试样例的目的是为平台新用户提供一组测试样例，用于熟悉DSS的常见操作，并验证DSS平台的正确性
+
+![image-20200408211243941](../../../images/zh_CN/chapter3/tests/home.png)
+
+## 1.1 Spark Core（入口函数sc）
+
+在Scriptis中，已经默认为您注册了SparkContext，所以直接使用sc即可：
+
+### 1.1.1 单Value算子(Map算子为例)
+
+```scala
+val rddMap = sc.makeRDD(Array((1,"a"),(1,"d"),(2,"b"),(3,"c")),4)
+val res = rddMap.mapValues(data=>{data+"||||"})
+res.collect().foreach(data=>println(data._1+","+data._2))
+```
+
+### 1.1.2 双Value算子(union算子为例)
+
+```scala
+val rdd1 = sc.makeRDD(1 to 5)
+val rdd2 = sc.makeRDD(6 to 10)
+val rddCustom = rdd1.union(rdd2)
+rddCustom.collect().foreach(println)
+```
+
+### 1.1.3 K-V算子(reduceByKey算子为例子)
+
+```scala
+val rdd1 = sc.makeRDD(List(("female",1),("male",2),("female",3),("male",4)))
+val rdd2 = rdd1.reduceByKey((x,y)=>x+y)
+rdd2.collect().foreach(println)
+```
+
+### 1.1.4 执行算子(以上collect算子为例)
+
+### 1.1.5 从hdfs上读取文件并做简单执行
+
+```scala
+case class Person(name:String,age:String)
+val file = sc.textFile("/test.txt")
+val person = file.map(line=>{
+               val values=line.split(",")
+
+     Person(values(0),values(1))
+})
+val df = person.toDF()
+df.select($"name").show()
+```
+
+
+
+## 1.2 UDF函数测试
+
+### 1.2.1 函数定义
+
+
+
+```scala
+def ScalaUDF3(str:  String):  String  =  "hello, "  + str  + "this is a third attempt"
+```
+
+### 1.2.2 注册函数
+
+函数-》个人函数-》右击新增spark函数=》注册方式同常规spark开发
+
+​            ![img](../../../images/zh_CN/chapter3/tests/udf1.png)               
+
+## 1.3 UDAF函数测试
+
+### 1.3.1 Jar包上传
+
+​        idea上开发一个求平均值的udaf函数，打成jar(wordcount)包,上传dss jar文件夹。
+
+​            ![img](../../../images/zh_CN/chapter3/tests/udf2.png)            
+
+### 1.3.2 注册函数
+
+函数-》个人函数-》右击新增普通函数=》注册方式同常规spark开发          
+
+  ![img](../../../images/zh_CN/chapter3/tests/udf-3.png)                        

docs/zh_CN/ch3/DSS_User_Tests2_Hive.md

@@ -0,0 +1,148 @@
+# DSS用户测试样例2：Hive
+
+DSS用户测试样例的目的是为平台新用户提供一组测试样例，用于熟悉DSS的常见操作，并验证DSS平台的正确性
+
+![image-20200408211243941](../../../images/zh_CN/chapter3/tests/home.png)
+
+## 2.1 数仓建表
+
+​        进入“数据库”页面，点击“+”，依次输入表信息、表结构和分区信息即可创建数据库表：
+
+<img src="../../../images/zh_CN/chapter3/tests/hive1.png" alt="image-20200408212604929" style="zoom:50%;" />
+
+​            ![img](../../../images/zh_CN/chapter3/tests/hive2.png)                        
+
+​       通过以上流程，分别创建部门表dept、员工表emp和分区员工表emp_partition，建表语句如下：
+
+```sql
+create external table if not exists default.dept(
+    deptno int,
+    dname string,
+    loc int
+)
+row format delimited fields terminated by '\t';
+
+create external table if not exists default.emp(
+    empno int,
+    ename string,
+    job string,
+    mgr int,
+    hiredate string, 
+    sal double, 
+    comm double,
+    deptno int
+)
+row format delimited fields terminated by '\t';
+
+create table if not exists emp_partition(
+    empno int,
+    ename string,
+    job string,
+    mgr int,
+    hiredate string, 
+    sal double, 
+    comm double,
+    deptno int
+)
+partitioned by (month string)
+row format delimited fields terminated by '\t';
+```
+
+**导入数据**
+
+目前需要通过后台手动批量导入数据，可以通过insert方法从页面插入数据
+
+```sql
+load data local inpath 'dept.txt' into table default.dept;
+load data local inpath 'emp.txt' into table default.emp;
+load data local inpath 'emp1.txt' into table default.emp_partition;
+load data local inpath 'emp2.txt' into table default.emp_partition;
+load data local inpath 'emp2.txt' into table default.emp_partition;
+```
+
+其它数据按照上述语句导入，样例数据文件路径在：`examples\ch3`
+
+## 2.2 基本SQL语法测试
+
+### 2.2.1 简单查询
+
+```sql
+select * from dept;
+```
+
+### 2.2.2 Join连接
+
+```sql
+select * from emp
+left join dept
+on emp.deptno = dept.deptno;
+```
+
+### 2.2.3 聚合函数
+
+```sql
+select dept.dname, avg(sal) as avg_salary
+from emp left join dept
+on emp.deptno = dept.deptno
+group by dept.dname;
+```
+
+### 2.2.4 内置函数
+
+```sql
+select ename, job,sal,
+rank() over(partition by job order by sal desc) sal_rank
+from emp;
+```
+
+### 2.2.5 分区表简单查询
+
+```sql
+show partitions emp_partition;
+select * from emp_partition where month='202001';
+```
+
+### 2.2.6 分区表联合查询
+
+```sql
+select * from emp_partition where month='202001'
+union
+select * from emp_partition where month='202002'
+union
+select * from emp_partition where month='202003'
+```
+
+## 2.3 UDF函数测试
+
+### 2.3.1 Jar包上传
+
+进入Scriptis页面后，右键目录路径上传jar包：
+
+​            ![img](../../../images/zh_CN/chapter3/tests/hive3.png)                  
+
+测试样例jar包在`examples\ch3\rename.jar`    
+
+### 4.3.2 自定义函数
+
+进入“UDF函数”选项（如1），右击“个人函数”目录，选择“新增函数”：
+
+<img src="../../../images/zh_CN/chapter3/tests/hive4.png" alt="image-20200408214033801" style="zoom: 50%;" />
+
+输入函数名称、选择jar包、并填写注册格式、输入输出格式即可创建函数：
+
+ ![img](../../../images/zh_CN/chapter3/tests/hive5.png)            
+
+<img src="../../../images/zh_CN/chapter3/tests/hive-6.png" alt="image-20200409155418424" style="zoom: 67%;" />
+
+获得的函数如下：
+
+​            ![img](../../../images/zh_CN/chapter3/tests/hive7.png)              
+
+### 4.3.3 利用自定义函数进行SQL查询
+
+完成函数注册后，可进入工作空间页面创建.hql文件使用函数：
+
+```sql
+select deptno,ename, rename(ename) as new_name
+from emp;
+```

docs/zh_CN/ch3/DSS_User_Tests3_SparkSQL.md

@@ -0,0 +1,61 @@
+# DSS用户测试样例3：SparkSQL
+
+DSS用户测试样例的目的是为平台新用户提供一组测试样例，用于熟悉DSS的常见操作，并验证DSS平台的正确性
+
+![image-20200408211243941](../../../images/zh_CN/chapter3/tests/home.png)
+
+## 3.1RDD与DataFrame转换
+
+### 3.1.1 RDD转为DataFrame
+
+```scala
+case class MyList(id:Int)
+
+val lis = List(1,2,3,4)
+
+val listRdd = sc.makeRDD(lis)
+import spark.implicits._
+val df = listRdd.map(value => MyList(value)).toDF()
+
+df.show()
+```
+
+### 3.1.2 DataFrame转为RDD
+
+```scala
+case class MyList(id:Int)
+
+val lis = List(1,2,3,4)
+val listRdd = sc.makeRDD(lis)
+import spark.implicits._
+val df = listRdd.map(value => MyList(value)).toDF()
+println("------------------")
+
+val dfToRdd = df.rdd
+
+dfToRdd.collect().foreach(print(_))
+```
+
+## 3.2 DSL语法风格实现
+
+```scala
+val df = df1.union(df2)
+val dfSelect = df.select($"department")
+dfSelect.show()
+```
+
+## 3.3 SQL语法风格实现(入口函数sqlContext)
+
+```scala
+val df = df1.union(df2)
+
+df.createOrReplaceTempView("dfTable")
+val innerSql = """
+                         SELECT department
+                         FROM dfTable
+                        """
+val sqlDF = sqlContext.sql(innerSql)
+sqlDF.show()
+```
+
+​                        

dss-server/src/main/java/com/webank/wedatasphere/dss/server/dao/WorkspaceMapper.java

@@ -2,6 +2,11 @@
 
 import com.webank.wedatasphere.dss.server.dto.response.*;
 import com.webank.wedatasphere.dss.server.entity.*;
+import com.webank.wedatasphere.dss.server.dto.response.HomepageDemoInstanceVo;
+import com.webank.wedatasphere.dss.server.dto.response.HomepageDemoMenuVo;
+import com.webank.wedatasphere.dss.server.dto.response.HomepageVideoVo;
+import com.webank.wedatasphere.dss.server.dto.response.WorkspaceFavoriteVo;
+import org.apache.ibatis.annotations.Param;
 
 import java.util.List;
 
@@ -36,4 +41,11 @@ public interface WorkspaceMapper {
     List<OnestopMenuAppInstanceVo> getMenuAppInstancesCn(Long id);
     List<OnestopMenuAppInstanceVo> getMenuAppInstanceEn(Long id);
 
+    List<WorkspaceFavoriteVo> getWorkspaceFavoritesCn(@Param("username") String username, @Param("workspaceId") Long workspaceId);
+
+    List<WorkspaceFavoriteVo> getWorkspaceFavoritesEn(@Param("username") String username, @Param("workspaceId") Long workspaceId);
+
+    void addFavorite(DWSFavorite dwsFavorite);
+
+    void deleteFavorite(Long favouritesId);
 }