diff --git a/piflow-bundle/src/main/scala/cn/piflow/bundle/clean/PhoneNumberClean.scala b/piflow-bundle/src/main/scala/cn/piflow/bundle/clean/PhoneNumberClean.scala
new file mode 100644
index 0000000..584f958
--- /dev/null
+++ b/piflow-bundle/src/main/scala/cn/piflow/bundle/clean/PhoneNumberClean.scala
@@ -0,0 +1,52 @@
+package cn.piflow.bundle.clean
+
+import cn.piflow.bundle.util.CleanUtil
+import cn.piflow.{JobContext, JobInputStream, JobOutputStream, ProcessContext}
+import cn.piflow.conf.{CleanGroup, ConfigurableStop, StopGroup}
+import cn.piflow.conf.bean.PropertyDescriptor
+import cn.piflow.conf.util.MapUtil
+import org.apache.spark.sql.SparkSession
+
+class PhoneNumberClean extends ConfigurableStop{
+  val inportCount: Int = 0
+  val outportCount: Int = 1
+  var columnName:String=_
+
+  def perform(in: JobInputStream, out: JobOutputStream, pec: JobContext): Unit = {
+    val spark = pec.get[SparkSession]()
+    val sqlContext=spark.sqlContext
+    val dfOld = in.read()
+    dfOld.createOrReplaceTempView("thesis")
+    sqlContext.udf.register("regexPro",(str:String)=>CleanUtil.processPhonenum(str))
+    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 = {
+
+  }
+
+
+  def setProperties(map: Map[String, Any]): Unit = {
+    columnName=MapUtil.get(map,key="columnName").asInstanceOf[String]
+
+  }
+
+  override def getPropertyDescriptor(): List[PropertyDescriptor] = {
+    var descriptor : List[PropertyDescriptor] = List()
+    val columnName = new PropertyDescriptor().name("columnName").displayName("COLUMN_NAME").defaultValue("").required(true)
+    descriptor = columnName :: descriptor
+    descriptor
+  }
+
+  override def getIcon(): Array[Byte] = ???
+
+  override def getGroup(): StopGroup = {
+    CleanGroup
+  }
+
+}