Merge remote-tracking branch 'origin/master'

piflow-bundle/src/main/resources/flow/common/distinct.json

@@ -15,7 +15,7 @@
         "name":"Distinct",
         "bundle":"cn.piflow.bundle.common.Distinct",
         "properties":{
-          "fields":"id"
+          "columnNames":"id"
         }
       }
 

piflow-bundle/src/main/resources/flow/common/dropField.json

@@ -15,7 +15,7 @@
         "name":"ConvertSchema",
         "bundle":"cn.piflow.bundle.common.DropField",
         "properties":{
-          "fields":"id"
+          "columnNames":"id"
         }
       }
 

piflow-bundle/src/main/resources/flow/common/executeSql.json

@@ -16,7 +16,7 @@
         "bundle":"cn.piflow.bundle.common.ExecuteSQLStop",
         "properties":{
           "sql":"select * from temp where id = 0001",
-          "tempViewName": "temp"
+          "ViewName": "temp"
         }
       }
     ],

piflow-bundle/src/main/resources/flow/common/join.json

@@ -23,7 +23,7 @@
         "name":"Join",
         "bundle":"cn.piflow.bundle.common.Join",
         "properties":{
-          "correlationField": "id",
+          "correlationColumn": "id",
           "joinMode": "left"
 
         }

piflow-bundle/src/main/resources/flow/common/selectField.json

@@ -15,7 +15,7 @@
         "name":"SelectField",
         "bundle":"cn.piflow.bundle.common.SelectField",
         "properties":{
-          "fields":"id"
+          "columnNames":"id"
         }
       }
 

piflow-bundle/src/main/scala/cn/piflow/bundle/clean/EmailClean.scala

@@ -10,9 +10,9 @@ import org.apache.spark.sql.SparkSession
 class EmailClean extends ConfigurableStop{
 
   val authorEmail: String = "songdongze@cnic.cn"
-  val description: String = "Clean email format data."
-  val inportList: List[String] = List(Port.DefaultPort.toString)
-  val outportList: List[String] = List(Port.DefaultPort.toString)
+  val description: String = "Cleaning data in email format"
+  val inportList: List[String] = List(Port.DefaultPort)
+  val outportList: List[String] = List(Port.DefaultPort)
 
   var columnName:String= _
 
@@ -54,7 +54,6 @@ class EmailClean extends ConfigurableStop{
     out.write(dfNew1)
   }
 
-
   def initialize(ctx: ProcessContext): Unit = {
 
   }
@@ -69,8 +68,8 @@ class EmailClean extends ConfigurableStop{
     var descriptor : List[PropertyDescriptor] = List()
     val columnName = new PropertyDescriptor()
       .name("columnName")
-      .displayName("Column_Name")
-      .description("The columnName you want to clean,Multiple are separated by commas")
+      .displayName("Column Name")
+      .description("Column names are what you want to clean,multiple column names are separated by commas")
       .defaultValue("")
       .required(true)
       .example("email")

piflow-bundle/src/main/scala/cn/piflow/bundle/clean/IdentityNumberClean.scala

@@ -13,9 +13,9 @@ import org.apache.spark.sql.{DataFrame, SparkSession}
 class IdentityNumberClean extends ConfigurableStop{
 
   val authorEmail: String = "06whuxx@163.com"
-  val description: String = "Clean Id Card data."
-  val inportList: List[String] = List(Port.DefaultPort.toString)
-  val outportList: List[String] = List(Port.DefaultPort.toString)
+  val description: String = "Cleaning data in ID format"
+  val inportList: List[String] = List(Port.DefaultPort)
+  val outportList: List[String] = List(Port.DefaultPort)
 
   var columnName:String=_
 
@@ -72,7 +72,7 @@ class IdentityNumberClean extends ConfigurableStop{
     val columnName = new PropertyDescriptor()
       .name("columnName")
       .displayName("Column_Name")
-      .description("The columnName you want to clean,Multiple are separated by commas")
+      .description("Column names are what you want to clean,multiple column names are separated by commas")
       .defaultValue("")
       .required(true)
       .example("idcard")

piflow-bundle/src/main/scala/cn/piflow/bundle/clean/PhoneNumberClean.scala

@@ -11,9 +11,9 @@ import org.apache.spark.sql.types.StructField
 class PhoneNumberClean extends ConfigurableStop{
 
   val authorEmail: String = "06whuxx@163.com"
-  val description: String = "Clean phone number format data."
-  val inportList: List[String] = List(Port.DefaultPort.toString)
-  val outportList: List[String] = List(Port.DefaultPort.toString)
+  val description: String = "Cleaning data in mobile number format"
+  val inportList: List[String] = List(Port.DefaultPort)
+  val outportList: List[String] = List(Port.DefaultPort)
 
   var columnName:String=_
 
@@ -72,7 +72,7 @@ class PhoneNumberClean extends ConfigurableStop{
     val columnName = new PropertyDescriptor()
       .name("columnName")
       .displayName("Column_Name")
-      .description("The columnName you want to clean,Multiple are separated by commas")
+      .description("Column names are what you want to clean,multiple column names are separated by commas")
       .defaultValue("")
       .required(true)
       .example("phonenumber")

piflow-bundle/src/main/scala/cn/piflow/bundle/clean/ProvinceClean.scala

@@ -9,9 +9,9 @@ import org.apache.spark.sql.SparkSession
 
 class ProvinceClean extends ConfigurableStop{
   val authorEmail: String = "songdongze@cnic.cn"
-  val description: String = "Clean email format data."
-  val inportList: List[String] = List(Port.DefaultPort.toString)
-  val outportList: List[String] = List(Port.DefaultPort.toString)
+  val description: String = "Cleaning province data"
+  val inportList: List[String] = List(Port.DefaultPort)
+  val outportList: List[String] = List(Port.DefaultPort)
 
   var columnName:String=_
 
@@ -69,7 +69,7 @@ class ProvinceClean extends ConfigurableStop{
     val columnName = new PropertyDescriptor()
       .name("columnName")
       .displayName("Column_Name")
-      .description("The columnName you want to clean,Multiple are separated by commas")
+      .description("Column names are what you want to clean,multiple column names are separated by commas")
       .defaultValue("")
       .required(true)
       .example("province")

piflow-bundle/src/main/scala/cn/piflow/bundle/clean/TitleClean.scala

@@ -10,9 +10,9 @@ import org.apache.spark.sql.types.StructField
 
 class TitleClean extends ConfigurableStop{
   val authorEmail: String = "06whuxx@163.com"
-  val description: String = "Clean title format data."
-  val inportList: List[String] = List(Port.DefaultPort.toString)
-  val outportList: List[String] = List(Port.DefaultPort.toString)
+  val description: String = "Cleaning title data"
+  val inportList: List[String] = List(Port.DefaultPort)
+  val outportList: List[String] = List(Port.DefaultPort)
 
   var columnName:String=_
 
@@ -65,15 +65,16 @@ class TitleClean extends ConfigurableStop{
 
   override def getPropertyDescriptor(): List[PropertyDescriptor] = {
     var descriptor : List[PropertyDescriptor] = List()
+
     val columnName = new PropertyDescriptor()
       .name("columnName")
       .displayName("Column_Name")
-      .description("The columnName you want to clean,Multiple are separated by commas")
+      .description("Column names are what you want to clean,multiple column names are separated by commas")
       .defaultValue("")
       .required(true)
       .example("title")
-
     descriptor = columnName :: descriptor
+
     descriptor
   }
 

piflow-bundle/src/main/scala/cn/piflow/bundle/common/AddUUIDStop.scala

@@ -9,14 +9,11 @@ import cn.piflow.{JobContext, JobInputStream, JobOutputStream, ProcessContext}
 import org.apache.spark.sql.{DataFrame, SparkSession}
 
 class AddUUIDStop extends ConfigurableStop{
+
   override val authorEmail: String = "ygang@cnic.cn"
-
-
-
-  override val description: String = "Add  UUID column"
-  override val inportList: List[String] =List(Port.DefaultPort.toString)
-  override val outportList: List[String] = List(Port.DefaultPort.toString)
-
+  override val description: String = "Add UUID column"
+  override val inportList: List[String] =List(Port.DefaultPort)
+  override val outportList: List[String] = List(Port.DefaultPort)
 
   var column:String=_
 
@@ -24,11 +21,10 @@ class AddUUIDStop extends ConfigurableStop{
     val spark =  pec.get[SparkSession]()
     var df = in.read()
 
-
-    spark.udf.register("generaterUUID",()=>UUID.randomUUID().toString.replace("-",""))
+    spark.udf.register("generateUUID",()=>UUID.randomUUID().toString.replace("-",""))
 
     df.createOrReplaceTempView("temp")
-    df = spark.sql(s"select generaterUUID() as ${column},* from temp")
+    df = spark.sql(s"select generateUUID() as ${column},* from temp")
 
     out.write(df)
 
@@ -44,9 +40,10 @@ class AddUUIDStop extends ConfigurableStop{
     var descriptor : List[PropertyDescriptor] = List()
 
 
-    val column = new PropertyDescriptor().name("column")
+    val column = new PropertyDescriptor()
+      .name("column")
       .displayName("Column")
-      .description("The column is you want to add uuid column's name,")
+      .description("The column is the name of the uuid you want to add")
       .defaultValue("uuid")
       .required(true)
       .example("uuid")

piflow-bundle/src/main/scala/cn/piflow/bundle/common/ConvertSchema.scala

@@ -10,8 +10,8 @@ class ConvertSchema extends ConfigurableStop {
 
   val authorEmail: String = "yangqidong@cnic.cn"
   val description: String = "Change field name"
-  val inportList: List[String] = List(Port.DefaultPort.toString)
-  val outportList: List[String] = List(Port.DefaultPort.toString)
+  val inportList: List[String] = List(Port.DefaultPort)
+  val outportList: List[String] = List(Port.DefaultPort)
 
   var schema:String = _
   def perform(in: JobInputStream, out: JobOutputStream, pec: JobContext): Unit = {
@@ -40,7 +40,7 @@ class ConvertSchema extends ConfigurableStop {
     var descriptor : List[PropertyDescriptor] = List()
     val inports = new PropertyDescriptor().name("schema")
       .displayName("Schema")
-      .description("Change field name, you can write oldField1 -> newField1, Multiple separated by commas, Such as 'oldField1->newField1, oldField2->newField2' ")
+      .description("Change column names,multiple column names are separated by commas")
       .defaultValue("")
       .required(true)
       .example("id->uuid")
@@ -53,7 +53,7 @@ class ConvertSchema extends ConfigurableStop {
   }
 
   override def getGroup(): List[String] = {
-    List(StopGroup.CommonGroup.toString)
+    List(StopGroup.CommonGroup)
   }
 
 }

piflow-bundle/src/main/scala/cn/piflow/bundle/common/Distinct.scala

@@ -8,22 +8,23 @@ import org.apache.spark.sql.DataFrame
 
 class Distinct extends ConfigurableStop{
   override val authorEmail: String = "yangqidong@cnic.cn"
-  override val description: String = "De duplicate data according to all fields or specified  fields "
-  override val inportList: List[String] =List(Port.DefaultPort.toString)
-  override val outportList: List[String] = List(Port.DefaultPort.toString)
+  override val description: String = "Duplicate based on the specified column name or all colume names"
+  override val inportList: List[String] =List(Port.DefaultPort)
+  override val outportList: List[String] = List(Port.DefaultPort)
 
-  var fields:String=_
+  var columnNames:String=_
 
   override def setProperties(map: Map[String, Any]): Unit = {
-    fields = MapUtil.get(map,"fields").asInstanceOf[String]
+    columnNames = MapUtil.get(map,"columnNames").asInstanceOf[String]
   }
 
   override def getPropertyDescriptor(): List[PropertyDescriptor] = {
     var descriptor : List[PropertyDescriptor] = List()
 
-    val fields = new PropertyDescriptor().name("fields")
-      .displayName("Fields")
-      .description("De duplicate data according to all fields or specified  fields,Multiple separated by commas ; If not, all fields will be de duplicated")
+    val fields = new PropertyDescriptor()
+      .name("columnNames")
+      .displayName("ColumnNames")
+      .description("Fill in the column names you want to duplicate,multiple columns names separated by commas,if not,all the columns will be deduplicated")
       .defaultValue("")
       .required(false)
       .example("id")
@@ -37,7 +38,7 @@ class Distinct extends ConfigurableStop{
   }
 
   override def getGroup(): List[String] = {
-    List(StopGroup.CommonGroup.toString)
+    List(StopGroup.CommonGroup)
   }
 
 
@@ -48,8 +49,8 @@ class Distinct extends ConfigurableStop{
   override def perform(in: JobInputStream, out: JobOutputStream, pec: JobContext): Unit = {
     val inDf: DataFrame = in.read()
     var outDf: DataFrame = null
-    if(fields.length > 0){
-      val fileArr: Array[String] = fields.split(",")
+    if(columnNames.length > 0){
+      val fileArr: Array[String] = columnNames.split(",")
       outDf = inDf.dropDuplicates(fileArr)
     }else{
       outDf = inDf.distinct()

piflow-bundle/src/main/scala/cn/piflow/bundle/common/DropField.scala

@@ -9,16 +9,16 @@ import cn.piflow.conf.util.{ImageUtil, MapUtil}
 class DropField extends ConfigurableStop {
 
   val authorEmail: String = "ygang@cnic.cn"
-  val description: String = "Delete fields in schema"
-  val inportList: List[String] = List(Port.DefaultPort.toString)
-  val outportList: List[String] = List(Port.DefaultPort.toString)
+  val description: String = "Delete one or more columns"
+  val inportList: List[String] = List(Port.DefaultPort)
+  val outportList: List[String] = List(Port.DefaultPort)
 
-  var fields:String = _
+  var columnNames:String = _
 
   def perform(in: JobInputStream, out: JobOutputStream, pec: JobContext): Unit = {
     var df = in.read()
 
-    val field = fields.split(",")
+    val field = columnNames.split(",")
     for( x <- 0 until field.size){
       df = df.drop(field(x))
     }
@@ -31,13 +31,15 @@ class DropField extends ConfigurableStop {
   }
 
   def setProperties(map : Map[String, Any]): Unit = {
-    fields = MapUtil.get(map,"fields").asInstanceOf[String]
+    columnNames = MapUtil.get(map,"columnNames").asInstanceOf[String]
   }
 
   override def getPropertyDescriptor(): List[PropertyDescriptor] = {
     var descriptor : List[PropertyDescriptor] = List()
-    val inports = new PropertyDescriptor().name("fields").displayName("Fields")
-      .description("Delete fields in schema,multiple are separated by commas")
+    val inports = new PropertyDescriptor()
+      .name("columnNames")
+      .displayName("ColumnNames")
+      .description("Fill in the columns you want to delete,multiple columns names separated by commas")
       .defaultValue("")
       .required(true)
       .example("id")
@@ -46,11 +48,11 @@ class DropField extends ConfigurableStop {
   }
 
   override def getIcon(): Array[Byte] = {
-    ImageUtil.getImage("icon/common/DropField.png")
+    ImageUtil.getImage("icon/common/DropColumnNames.png")
   }
 
   override def getGroup(): List[String] = {
-    List(StopGroup.CommonGroup.toString)
+    List(StopGroup.CommonGroup)
   }
 
 }

piflow-bundle/src/main/scala/cn/piflow/bundle/common/ExecuteSQLStop.scala

@@ -16,18 +16,18 @@ class ExecuteSQLStop extends ConfigurableStop{
 
   val authorEmail: String = "ygang@cnic.cn"
   val description: String = "Create temporary view table to execute sql"
-  val inportList: List[String] = List(Port.DefaultPort.toString)
-  val outportList: List[String] = List(Port.DefaultPort.toString)
+  val inportList: List[String] = List(Port.DefaultPort)
+  val outportList: List[String] = List(Port.DefaultPort)
 
   var sql: String = _
-  var tempViewName: String = _
+  var ViewName: String = _
 
 
   override def perform(in: JobInputStream, out: JobOutputStream, pec: JobContext): Unit = {
 
     val spark = pec.get[SparkSession]()
     val inDF = in.read()
-    inDF.createOrReplaceTempView(tempViewName)
+    inDF.createOrReplaceTempView(ViewName)
 
     val frame: DataFrame = spark.sql(sql)
     out.write(frame)
@@ -36,7 +36,7 @@ class ExecuteSQLStop extends ConfigurableStop{
 
   override def setProperties(map: Map[String, Any]): Unit = {
     sql = MapUtil.get(map,"sql").asInstanceOf[String]
-    tempViewName = MapUtil.get(map,"tempViewName").asInstanceOf[String]
+    ViewName = MapUtil.get(map,"ViewName").asInstanceOf[String]
 
   }
   override def initialize(ctx: ProcessContext): Unit = {
@@ -49,18 +49,18 @@ class ExecuteSQLStop extends ConfigurableStop{
       .description("Sql string")
       .defaultValue("")
       .required(true)
-        .example("select * from temp")
+      .example("select * from temp")
     descriptor = sql :: descriptor
 
-    val tableName = new PropertyDescriptor()
-      .name("tempViewName")
-      .displayName("TempViewName")
-      .description(" Temporary view table")
+    val ViewName = new PropertyDescriptor()
+      .name("viewName")
+      .displayName("ViewName")
+      .description("Name of the temporary view table")
       .defaultValue("temp")
       .required(true)
       .example("temp")
 
-    descriptor = tableName :: descriptor
+    descriptor = ViewName :: descriptor
     descriptor
   }
 
@@ -69,7 +69,7 @@ class ExecuteSQLStop extends ConfigurableStop{
   }
 
   override def getGroup(): List[String] = {
-    List(StopGroup.CommonGroup.toString)
+    List(StopGroup.CommonGroup)
   }
 
 

piflow-bundle/src/main/scala/cn/piflow/bundle/common/Filter.scala

@@ -8,7 +8,7 @@ import org.apache.spark.sql.{Column, DataFrame}
 
 class Filter extends ConfigurableStop{
   override val authorEmail: String = "xjzhu@cnic.cn"
-  override val description: String = "Do filter by condition"
+  override val description: String = "Filter by condition"
   override val inportList: List[String] = List(Port.DefaultPort)
   override val outportList: List[String] = List(Port.DefaultPort)
 

piflow-bundle/src/main/scala/cn/piflow/bundle/common/Fork.scala

@@ -9,9 +9,9 @@ import cn.piflow.{JobContext, JobInputStream, JobOutputStream, ProcessContext}
 class Fork extends ConfigurableStop{
 
   val authorEmail: String = "xjzhu@cnic.cn"
-  val description: String = "Fork data into different stops"
-  val inportList: List[String] = List(Port.DefaultPort.toString)
-  val outportList: List[String] = List(Port.AnyPort.toString)
+  val description: String = "Forking data to different stops"
+  val inportList: List[String] = List(Port.DefaultPort)
+  val outportList: List[String] = List(Port.AnyPort)
 
   var outports : List[String] = _
 
@@ -33,7 +33,7 @@ class Fork extends ConfigurableStop{
     var descriptor : List[PropertyDescriptor] = List()
     val outports = new PropertyDescriptor().name("outports")
       .displayName("outports")
-      .description("outports string, seperated by ,.")
+      .description("Output ports string with comma")
       .defaultValue("")
       .required(true)
     descriptor = outports :: descriptor
@@ -45,6 +45,6 @@ class Fork extends ConfigurableStop{
   }
 
   override def getGroup(): List[String] = {
-    List(StopGroup.CommonGroup.toString)
+    List(StopGroup.CommonGroup)
   }
 }

piflow-bundle/src/main/scala/cn/piflow/bundle/common/Join.scala

@@ -8,12 +8,12 @@ import org.apache.spark.sql.{Column, DataFrame}
 
 class Join extends ConfigurableStop{
   override val authorEmail: String = "yangqidong@cnic.cn"
-  override val description: String = "Table connection, including full connection, left connection, right connection and inner connection"
-  override val inportList: List[String] =List(Port.LeftPort.toString,Port.RightPort.toString)
-  override val outportList: List[String] = List(Port.DefaultPort.toString)
+  override val description: String = "Table joins include full join, left join, right join and inner join"
+  override val inportList: List[String] =List(Port.LeftPort,Port.RightPort)
+  override val outportList: List[String] = List(Port.DefaultPort)
 
   var joinMode:String=_
-  var correlationField:String=_
+  var correlationColumn:String=_
 
   override def perform(in: JobInputStream, out: JobOutputStream, pec: JobContext): Unit = {
 
@@ -21,7 +21,7 @@ class Join extends ConfigurableStop{
     val rightDF = in.read(Port.RightPort)
 
     var seq: Seq[String]= Seq()
-    correlationField.split(",").foreach(x=>{
+    correlationColumn.split(",").foreach(x=>{
       seq = seq .++(Seq(x.toString))
     })
 
@@ -37,27 +37,30 @@ class Join extends ConfigurableStop{
 
   override def setProperties(map: Map[String, Any]): Unit = {
     joinMode = MapUtil.get(map,"joinMode").asInstanceOf[String]
-    correlationField = MapUtil.get(map,"correlationField").asInstanceOf[String]
+    correlationColumn = MapUtil.get(map,"correlationColumn").asInstanceOf[String]
   }
 
   override def getPropertyDescriptor(): List[PropertyDescriptor] = {
     var descriptor : List[PropertyDescriptor] = List()
 
-    val joinMode = new PropertyDescriptor().name("joinMode")
-      .displayName("joinMode")
-      .description("For table association, you can choose INNER, LEFT, RIGHT, FULL")
+    val joinMode = new PropertyDescriptor()
+      .name("joinMode")
+      .displayName("JoinMode")
+      .description("For table associations, you can choose inner,left,right,full")
       .allowableValues(Set("inner","left","right","full_outer"))
       .defaultValue("inner")
       .required(true)
+      .example("left")
     descriptor = joinMode :: descriptor
 
-    val correlationField = new PropertyDescriptor()
-      .name("correlationField")
-      .displayName("correlationField")
-      .description("Fields associated with tables,If there are more than one, please use , separate")
+    val correlationColumn = new PropertyDescriptor()
+      .name("correlationColumn")
+      .displayName("CorrelationColumn")
+      .description("Columns associated with tables,if multiple are separated by commas")
       .defaultValue("")
       .required(true)
-    descriptor = correlationField :: descriptor
+      .example("id,name")
+    descriptor = correlationColumn :: descriptor
 
     descriptor
   }
@@ -67,7 +70,7 @@ class Join extends ConfigurableStop{
   }
 
   override def getGroup(): List[String] = {
-    List(StopGroup.CommonGroup.toString)
+    List(StopGroup.CommonGroup)
   }
 
 

piflow-bundle/src/main/scala/cn/piflow/bundle/common/Merge.scala

@@ -5,14 +5,12 @@ import cn.piflow.conf.bean.PropertyDescriptor
 import cn.piflow.conf.util.{ImageUtil, MapUtil}
 import cn.piflow.{JobContext, JobInputStream, JobOutputStream, ProcessContext}
 
-import scala.beans.BeanProperty
-
 class Merge extends ConfigurableStop{
 
   val authorEmail: String = "xjzhu@cnic.cn"
   val description: String = "Merge data into one stop"
-  val inportList: List[String] = List(Port.AnyPort.toString)
-  val outportList: List[String] = List(Port.DefaultPort.toString)
+  val inportList: List[String] = List(Port.AnyPort)
+  val outportList: List[String] = List(Port.DefaultPort)
 
   var inports : List[String] = _
 
@@ -33,8 +31,8 @@ class Merge extends ConfigurableStop{
     var descriptor : List[PropertyDescriptor] = List()
     val inports = new PropertyDescriptor()
       .name("inports")
-      .displayName("inports")
-      .description("inports string, seperated by ,.")
+      .displayName("Inports")
+      .description("Inports string are separated by commas")
       .defaultValue("")
       .required(true)
     descriptor = inports :: descriptor
@@ -46,7 +44,7 @@ class Merge extends ConfigurableStop{
   }
 
   override def getGroup(): List[String] = {
-    List(StopGroup.CommonGroup.toString)
+    List(StopGroup.CommonGroup)
   }
 
 }

piflow-bundle/src/main/scala/cn/piflow/bundle/common/Route.scala

@@ -8,15 +8,14 @@ import cn.piflow.{JobContext, JobInputStream, JobOutputStream, ProcessContext}
 class Route extends ConfigurableStop{
 
   val authorEmail: String = "xjzhu@cnic.cn"
-  val description: String = "Route data by customizedProperties, key is port & value is filter condition"
+  val description: String = "Route data by custom properties,key is port,value is filter"
   val inportList: List[String] = List(Port.DefaultPort)
   val outportList: List[String] = List(Port.RoutePort)
 
   override val isCustomized: Boolean = true
 
   override def setProperties(map: Map[String, Any]): Unit = {
-    //val outportStr = MapUtil.get(map,"outports").asInstanceOf[String]
-    //outports = outportStr.split(",").toList
+
   }
 
   override def initialize(ctx: ProcessContext): Unit = {
@@ -40,8 +39,7 @@ class Route extends ConfigurableStop{
 
   override def getPropertyDescriptor(): List[PropertyDescriptor] = {
     var descriptor : List[PropertyDescriptor] = List()
-    //val outports = new PropertyDescriptor().name("outports").displayName("outports").description("outports string, seperated by ,.").defaultValue("").required(true)
-    //descriptor = outports :: descriptor
+
     descriptor
   }
 
@@ -50,6 +48,6 @@ class Route extends ConfigurableStop{
   }
 
   override def getGroup(): List[String] = {
-    List(StopGroup.CommonGroup.toString)
+    List(StopGroup.CommonGroup)
   }
 }

piflow-bundle/src/main/scala/cn/piflow/bundle/common/SelectField.scala

@@ -12,16 +12,16 @@ import scala.beans.BeanProperty
 class SelectField extends ConfigurableStop {
 
   val authorEmail: String = "xjzhu@cnic.cn"
-  val description: String = "Select data field"
-  val inportList: List[String] = List(Port.DefaultPort.toString)
-  val outportList: List[String] = List(Port.DefaultPort.toString)
+  val description: String = "Select data column"
+  val inportList: List[String] = List(Port.DefaultPort)
+  val outportList: List[String] = List(Port.DefaultPort)
 
-  var fields:String = _
+  var columnNames:String = _
 
   def perform(in: JobInputStream, out: JobOutputStream, pec: JobContext): Unit = {
     val df = in.read()
 
-    val field = fields.split(",")
+    val field = columnNames.split(",")
     val columnArray : Array[Column] = new Array[Column](field.size)
     for(i <- 0 to field.size - 1){
       columnArray(i) = new Column(field(i))
@@ -36,17 +36,18 @@ class SelectField extends ConfigurableStop {
   }
 
   def setProperties(map : Map[String, Any]): Unit = {
-    fields = MapUtil.get(map,"fields").asInstanceOf[String]
+    columnNames = MapUtil.get(map,"columnNames").asInstanceOf[String]
   }
 
   override def getPropertyDescriptor(): List[PropertyDescriptor] = {
     var descriptor : List[PropertyDescriptor] = List()
     val inports = new PropertyDescriptor()
-      .name("fields")
-      .displayName("Fields")
-      .description("The fields you want to select")
+      .name("columnNames")
+      .displayName("ColumnNames")
+      .description("Select the column you want,multiple columns separated by commas")
       .defaultValue("")
       .required(true)
+      .example("id,name")
     descriptor = inports :: descriptor
     descriptor
   }

piflow-bundle/src/main/scala/cn/piflow/bundle/common/Subtract.scala

@@ -10,9 +10,9 @@ import org.apache.spark.sql.{DataFrame, Row, SparkSession}
 
 class Subtract extends ConfigurableStop{
   override val authorEmail: String = "yangqidong@cnic.cn"
-  override val description: String = "Delete the data existing in the right table from the left table"
-  override val inportList: List[String] =List(Port.LeftPort.toString,Port.RightPort.toString)
-  override val outportList: List[String] = List(Port.DefaultPort.toString)
+  override val description: String = "Delete the existing data in the right table from the left table"
+  override val inportList: List[String] =List(Port.LeftPort,Port.RightPort)
+  override val outportList: List[String] = List(Port.DefaultPort)
 
   override def setProperties(map: Map[String, Any]): Unit = {
   }
@@ -28,7 +28,7 @@ class Subtract extends ConfigurableStop{
   }
 
   override def getGroup(): List[String] = {
-    List(StopGroup.CommonGroup.toString)
+    List(StopGroup.CommonGroup)
   }
 
   override def initialize(ctx: ProcessContext): Unit = {

piflow-bundle/src/main/scala/cn/piflow/bundle/common/Trager.scala

@@ -9,8 +9,8 @@ class Trager extends ConfigurableStop{
 
   val authorEmail: String = "ygang@cnic.cn"
   val description: String = "Upstream and downstream middleware"
-  val inportList: List[String] = List(Port.AnyPort.toString)
-  val outportList: List[String] = List(Port.AnyPort.toString)
+  val inportList: List[String] = List(Port.AnyPort)
+  val outportList: List[String] = List(Port.AnyPort)
 
 
   def perform(in: JobInputStream, out: JobOutputStream, pec: JobContext): Unit = {
@@ -35,7 +35,7 @@ class Trager extends ConfigurableStop{
   }
 
   override def getGroup(): List[String] = {
-    List(StopGroup.CommonGroup.toString)
+    List(StopGroup.CommonGroup)
   }
 
 }

piflow-bundle/src/main/scala/cn/piflow/bundle/csv/CsvParser.scala

@@ -12,8 +12,8 @@ class CsvParser extends ConfigurableStop{
 
   val authorEmail: String = "xjzhu@cnic.cn"
   val description: String = "Parse csv file"
-  val inportList: List[String] = List(Port.NonePort.toString)
-  val outportList: List[String] = List(Port.DefaultPort.toString)
+  val inportList: List[String] = List(Port.DefaultPort)
+  val outportList: List[String] = List(Port.DefaultPort)
 
   var csvPath: String = _
   var header: Boolean = _
@@ -72,7 +72,7 @@ class CsvParser extends ConfigurableStop{
       .description("The path of csv file")
       .defaultValue("")
       .required(true)
-      .example("")
+      .example("hdfs://192.168.3.138:8020/test/")
     descriptor = csvPath :: descriptor
 
     val header = new PropertyDescriptor()
@@ -82,7 +82,7 @@ class CsvParser extends ConfigurableStop{
       .defaultValue("false")
       .allowableValues(Set("true","false"))
       .required(true)
-      .example("")
+      .example("true")
     descriptor = header :: descriptor
 
     val delimiter = new PropertyDescriptor()
@@ -91,7 +91,7 @@ class CsvParser extends ConfigurableStop{
       .description("The delimiter of csv file")
       .defaultValue("")
       .required(true)
-      .example("")
+      .example(",")
     descriptor = delimiter :: descriptor
 
     val schema = new PropertyDescriptor()
@@ -100,7 +100,7 @@ class CsvParser extends ConfigurableStop{
       .description("The schema of csv file")
       .defaultValue("")
       .required(false)
-      .example("")
+      .example("id,name,gender,age")
     descriptor = schema :: descriptor
 
     descriptor

piflow-bundle/src/main/scala/cn/piflow/bundle/csv/CsvSave.scala

@@ -8,9 +8,9 @@ import org.apache.spark.sql.SaveMode
 
 class CsvSave extends ConfigurableStop{
   val authorEmail: String = "xjzhu@cnic.cn"
-  val description: String = "Save data into csv file."
-  val inportList: List[String] = List(Port.DefaultPort.toString)
-  val outportList: List[String] = List(Port.DefaultPort.toString)
+  val description: String = "Save the data as a csv file."
+  val inportList: List[String] = List(Port.DefaultPort)
+  val outportList: List[String] = List(Port.DefaultPort)
 
   var csvSavePath: String = _
   var header: Boolean = _
@@ -33,7 +33,7 @@ class CsvSave extends ConfigurableStop{
       .description("The save path of csv file")
       .defaultValue("")
       .required(true)
-      .example("")
+      .example("hdfs://192.168.3.138:8020/test/")
     descriptor = csvSavePath :: descriptor
 
     val header = new PropertyDescriptor()
@@ -42,6 +42,7 @@ class CsvSave extends ConfigurableStop{
       .description("Whether the csv file has a header")
       .defaultValue("")
       .required(true)
+      .example("true")
     descriptor = header :: descriptor
 
     val delimiter = new PropertyDescriptor()
@@ -50,16 +51,16 @@ class CsvSave extends ConfigurableStop{
       .description("The delimiter of csv file")
       .defaultValue(",")
       .required(true)
-      .example("")
+      .example(",")
     descriptor = delimiter :: descriptor
 
     val partition = new PropertyDescriptor()
       .name("partition")
       .displayName("Partition")
       .description("The partition of csv file")
-      .defaultValue("1")
+      .defaultValue("")
       .required(true)
-      .example("")
+      .example("3")
     descriptor = partition :: descriptor
 
     descriptor
@@ -79,6 +80,7 @@ class CsvSave extends ConfigurableStop{
 
   override def perform(in: JobInputStream, out: JobOutputStream, pec: JobContext): Unit = {
     val df = in.read()
+
     df.repartition(partition.toInt).write
       .format("csv")
       .mode(SaveMode.Overwrite)

piflow-bundle/src/main/scala/cn/piflow/bundle/csv/CsvStringParser.scala

@@ -11,12 +11,12 @@ import org.apache.spark.sql.{DataFrame, Row, SparkSession}
 
 class CsvStringParser extends ConfigurableStop{
   override val authorEmail: String = "yangqidong@cnic.cn"
-  val inportList: List[String] = List(Port.NonePort.toString)
-  val outportList: List[String] = List(Port.DefaultPort.toString)
+  val inportList: List[String] = List(Port.DefaultPort)
+  val outportList: List[String] = List(Port.DefaultPort)
   override val description: String = "Parse csv string"
 
 
-  var Str:String=_
+  var str:String=_
   var delimiter: String = _
   var schema: String = _
 
@@ -25,7 +25,7 @@ class CsvStringParser extends ConfigurableStop{
     val session: SparkSession = pec.get[SparkSession]
     val context: SparkContext = session.sparkContext
 
-    val arrStr: Array[String] = Str.split("\n")
+    val arrStr: Array[String] = str.split("\n")
 
     var num:Int=0
     val listROW: List[Row] = arrStr.map(line => {
@@ -50,7 +50,7 @@ class CsvStringParser extends ConfigurableStop{
 
 
   override def setProperties(map: Map[String, Any]): Unit = {
-    Str = MapUtil.get(map,"Str").asInstanceOf[String]
+    str = MapUtil.get(map,"String").asInstanceOf[String]
     delimiter = MapUtil.get(map,"delimiter").asInstanceOf[String]
     schema = MapUtil.get(map,"schema").asInstanceOf[String]
   }
@@ -58,17 +58,17 @@ class CsvStringParser extends ConfigurableStop{
   override def getPropertyDescriptor(): List[PropertyDescriptor] = {
     var descriptor : List[PropertyDescriptor] = List()
 
-    val Str = new PropertyDescriptor()
+    val str = new PropertyDescriptor()
       .name("Str")
       .displayName("Str")
       .defaultValue("")
       .required(true)
       .example("")
-    descriptor = Str :: descriptor
+    descriptor = str :: descriptor
 
     val delimiter = new PropertyDescriptor()
       .name("delimiter")
-      .displayName("delimiter")
+      .displayName("Delimiter")
       .description("The delimiter of CSV string")
       .defaultValue("")
       .required(true)
@@ -77,7 +77,7 @@ class CsvStringParser extends ConfigurableStop{
 
     val schema = new PropertyDescriptor()
       .name("schema")
-      .displayName("schema")
+      .displayName("Schema")
       .description("The schema of CSV string")
       .defaultValue("")
       .required(false)

piflow-bundle/src/main/scala/cn/piflow/bundle/es/FetchElasticsearch.scala

@@ -7,12 +7,12 @@ import cn.piflow.{JobContext, JobInputStream, JobOutputStream, ProcessContext}
 import org.apache.spark.sql.SparkSession
 
 
-class FetchEs extends ConfigurableStop {
+class FetchElasticsearch extends ConfigurableStop {
 
   val authorEmail: String = "ygang@cnic.cn"
   val description: String = "Fetch data from Elasticsearch"
-  val inportList: List[String] = List(Port.NonePort.toString)
-  val outportList: List[String] = List(Port.DefaultPort.toString)
+  val inportList: List[String] = List(Port.DefaultPort)
+  val outportList: List[String] = List(Port.DefaultPort)
 
   var es_nodes : String =  _
   var es_port  : String  =  _

piflow-bundle/src/main/scala/cn/piflow/bundle/es/PutElasticsearch.scala

@@ -7,12 +7,12 @@ import cn.piflow.{JobContext, JobInputStream, JobOutputStream, ProcessContext}
 import org.apache.spark.sql.SparkSession
 import org.elasticsearch.spark.sql.EsSparkSQL
 
-class PutEs extends ConfigurableStop {
+class PutElasticsearch extends ConfigurableStop {
 
   val authorEmail: String = "ygang@cnic.cn"
   val description: String = "Put data into Elasticsearch"
-  val inportList: List[String] = List(Port.DefaultPort.toString)
-  val outportList: List[String] = List(Port.NonePort.toString)
+  val inportList: List[String] = List(Port.DefaultPort)
+  val outportList: List[String] = List(Port.DefaultPort)
 
   var es_nodes : String =  _
   var es_port  : String  =  _
@@ -20,7 +20,6 @@ class PutEs extends ConfigurableStop {
   var es_type  : String  =  _
   var configuration_item:String = _
 
-
   def perform(in: JobInputStream, out: JobOutputStream, pec: JobContext): Unit = {
     val spark = pec.get[SparkSession]()
     val inDf = in.read()

piflow-bundle/src/main/scala/cn/piflow/bundle/es/QueryElasticsearch.scala

@@ -6,12 +6,12 @@ import cn.piflow.conf.{ConfigurableStop, Port, StopGroup}
 import cn.piflow.{JobContext, JobInputStream, JobOutputStream, ProcessContext}
 import org.apache.spark.sql.SparkSession
 
-class QueryEs extends ConfigurableStop {
+class QueryElasticsearch extends ConfigurableStop {
 
   val authorEmail: String = "ygang@cnic.cn"
   val description: String = "Query data from Elasticsearch"
-  val inportList: List[String] = List(Port.NonePort.toString)
-  val outportList: List[String] = List(Port.DefaultPort.toString)
+  val inportList: List[String] = List(Port.NonePort)
+  val outportList: List[String] = List(Port.DefaultPort)
 
   var es_nodes : String =  _
   var es_port  : String  =  _

piflow-bundle/src/main/scala/cn/piflow/bundle/file/RegexTextProcess.scala

@@ -6,15 +6,13 @@ import cn.piflow.{JobContext, JobInputStream, JobOutputStream, ProcessContext}
 import cn.piflow.conf._
 import org.apache.spark.sql.SparkSession
 
-
-
 class RegexTextProcess extends ConfigurableStop{
     val authorEmail: String = "06whuxx@163.com"
-    val description: String = "Use regex to replace text"
-    val inportList: List[String] = List(Port.DefaultPort.toString)
-    val outportList: List[String] = List(Port.DefaultPort.toString)
+    val description: String = "Replace values in a column with regex"
+    val inportList: List[String] = List(Port.DefaultPort)
+    val outportList: List[String] = List(Port.DefaultPort)
 
-  var regex:String =_
+    var regex:String =_
     var columnName:String=_
     var replaceStr:String=_
 
@@ -28,11 +26,9 @@ class RegexTextProcess extends ConfigurableStop{
       sqlContext.udf.register("regexPro",(str:String)=>str.replaceAll(regexText,replaceText))
       val sqlText:String="select *,regexPro("+columnName+") as "+columnName+"_new from thesis"
       val dfNew=sqlContext.sql(sqlText)
-      //dfNew.show()
       out.write(dfNew)
     }
 
-
   def initialize(ctx: ProcessContext): Unit = {
 
   }
@@ -47,31 +43,31 @@ class RegexTextProcess extends ConfigurableStop{
 
   override def getPropertyDescriptor(): List[PropertyDescriptor] = {
     var descriptor : List[PropertyDescriptor] = List()
-    val regex = new PropertyDescriptor().name("regex")
+    val regex = new PropertyDescriptor()
+      .name("regex")
       .displayName("Regex")
       .description("regex")
       .defaultValue("")
       .required(true)
-      .example("")
+      .example("0001")
+    descriptor = regex :: descriptor
 
     val columnName = new PropertyDescriptor()
       .name("columnName")
       .displayName("ColumnName")
-      .description("Field name of schema")
+      .description("The columns you want to replace")
       .defaultValue("")
       .required(true)
-      .example("")
+      .example("id")
+    descriptor = columnName :: descriptor
 
     val replaceStr = new PropertyDescriptor()
       .name("replaceStr")
       .displayName("ReplaceStr")
-      .description("Replaced string")
+      .description("Value after replacement")
       .defaultValue("")
       .required(true)
-        .example("")
-
-    descriptor = regex :: descriptor
-    descriptor = columnName :: descriptor
+      .example("1111")
     descriptor = replaceStr :: descriptor
     descriptor
   }
@@ -81,6 +77,6 @@ class RegexTextProcess extends ConfigurableStop{
   }
 
   override def getGroup(): List[String] = {
-    List(StopGroup.FileGroup.toString)
+    List(StopGroup.FileGroup)
   }
 }