暑假更新
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dingjiawen
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ce889c6057
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@ -13,8 +13,8 @@ import org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectIn
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* 1.实现接口或者继承类
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* 2.重写相应的方法
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* 3.打包
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*
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*
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* <p>
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* <p>
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* 自定义UDF函数类
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* 继承Hive提供的GenericUDF类
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*/
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@ -22,6 +22,7 @@ public class CalStringLengthUDF extends GenericUDF {
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/**
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* 初始化方法
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*
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* @param objectInspectors 传入到函数中的参数对应的类型的鉴别器对象
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* @return 指定函数的返回值类型对象的鉴别器对象
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* @throws UDFArgumentException
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@ -34,7 +35,7 @@ public class CalStringLengthUDF extends GenericUDF {
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}
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//2.校验函数的参数类型,getCategory()返回的是传入的类型,PRIMITIVE表示基本类型
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if (!objectInspectors[0].getCategory().equals(ObjectInspector.Category.PRIMITIVE)) {
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throw new UDFArgumentTypeException(0,"磺酸钠会参数类型不正确");
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throw new UDFArgumentTypeException(0, "函数的参数类型不正确");
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}
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//3.返回函数的返回值类型对应的鉴别器类型
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return PrimitiveObjectInspectorFactory.javaIntObjectInspector;
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@ -42,6 +43,7 @@ public class CalStringLengthUDF extends GenericUDF {
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/**
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* 函数核心处理方法
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*
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* @param deferredObjects 传入到函数的参数
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* @return 函数的返回值
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* @throws HiveException
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@ -58,6 +60,7 @@ public class CalStringLengthUDF extends GenericUDF {
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/**
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* 用于以后sql函数需要显示哪些内容
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*
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* @param strings
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* @return
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*/
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@ -25,7 +25,10 @@ object Spark010_RDD_Operator_Transform {
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//(null.null) =>null null
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//(1,null) =>1
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val rdd1: RDD[Int] = rdd.distinct()
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val rdd2=rdd.map(x=>(x,null)).reduceByKey((x, _) => x, 7)
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rdd1.collect().foreach(println(_))
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println("==========================")
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rdd2.collect().foreach(println(_))
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sc.stop()
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}
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@ -39,6 +39,27 @@ object Spark01_RDD_Operator_Transform_Par {
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}
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)
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mapRDD1.collect()
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/*
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结果:
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>>>>>>1
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>>>>>>3
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######1
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######3
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>>>>>>2
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######2
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>>>>>>4
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######4
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第二次:
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>>>>>>3
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>>>>>>1
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######1
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######3
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>>>>>>2
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>>>>>>4
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######4
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######2
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TODO 即分区内的1和2一定是先1后2，分区内的3和4一定是先3后4，但是1和3谁先不一定
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*/
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sc.stop()
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}
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@ -113,7 +113,7 @@ object SparkStreaming11_Req1_blackList1 {
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println(s"${day} ${user} ${ad} ${sum}")
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if(sum >= 30){
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//拉入黑名单
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val conn = JDBCUtil.getConnection
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// val conn = JDBCUtil.getConnection
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val sql =
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"""
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|insert into black_list (userid) values (?)
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@ -126,7 +126,7 @@ object SparkStreaming11_Req1_blackList1 {
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//将当天的广告点击数量进行更新
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//查询统计表数据
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val conn = JDBCUtil.getConnection
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// val conn = JDBCUtil.getConnection
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val sql =
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"""
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|select *
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@ -17,6 +17,15 @@ object Scala04_Function_Normal_1 {
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//调用时，如果不想使用默认值，直接传值即可
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fun3("111111") //111111
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def fun4(username:String="dingjiawen",password:String="123456")={
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println(s"username:$username,password:$password")
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}
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fun4()
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fun4(password = "qazwsx")
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fun4(password = "qazwsx",username = "123")
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}
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}
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@ -28,6 +28,7 @@ object Scala05_Object_Field {
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//而在scala中给属性提供的set,set方法不遵循bean规范，为了统一用于则有了下述写法
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test.setEmail("xxx")
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test.getEmail()
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println(test.email)
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}
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@ -29,7 +29,8 @@ object Scala12_Object_Trait_4 {
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trait Log extends Operator{
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override def operDate(): Unit ={
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print("向文件中")
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super.operDate() //如果想跳过DB直接访问Operator则使用super[Operator].operDate()
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// super[Operator].operDate() //如果想跳过DB直接访问Operator则使用super[Operator].operDate() //向文件中操作数据...
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super.operDate() //如果想跳过DB直接访问Operator则使用super[Operator].operDate() //向文件中向数据库中操作数据
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}
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}
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class MySQL extends DB with Log {
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@ -1,5 +1,7 @@
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package com.atguigu.scala.chapter07
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import scala.+:
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object Scala01_Collection_1 {
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def main(args: Array[String]): Unit = {
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@ -27,9 +29,13 @@ object Scala01_Collection_1 {
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//val ints1: Array[Int] = array1.:+(5)
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val ints1 = array1 :+ 5
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val ints3 =5 +: array1
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val ints2 = array1 ++ array3
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//val ints3 = array1 ++: array3
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// println(ints)
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// println(ints1)
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// println(ints2)
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println(array1 eq ints) //false
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println(array1 eq ints1) //false
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@ -38,9 +44,9 @@ object Scala01_Collection_1 {
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// 遍历
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//把集合中的元素用逗号分割形成一个字符串
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// println(ints.mkString(",")) //5,1,2,3,4
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// println(ints1.mkString(",")) //1,2,3,4,5
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// println(ints2.mkString(",")) //1,2,3,4,5,6,7,8
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println(ints.mkString(",")) //5,1,2,3,4
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println(ints1.mkString(",")) //1,2,3,4,5
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println(ints2.mkString(",")) //1,2,3,4,5,6,7,8
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//foreach方法是一个循环的方法，需要穿第一个函数，这个传参数的类型是函数类型
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// 函数类型 ： Int => U
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@ -21,7 +21,8 @@ object Scala06_Collection_Seq_2 {
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// println(list) //ListBuffer(5, 3, 4, 2, 1)
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//
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// list.remove(1)
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// list.remove(1,2)
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println(list)
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println(list.remove(1,2))
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//
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// list.mkString()
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// list.iterator
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@ -18,7 +18,7 @@ object Scala01_Transform {
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}
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val age :Int = thirdPart() //Double ? Int?
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println(age)
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println(age.isInstanceOf[Double])
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}
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def thirdPart(): Double ={
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@ -3,13 +3,13 @@ package com.atguigu.scala.test;
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public class TestAdd {
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public static void main(String[] args) {
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//int i=0;
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int i=0;
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// int j=i++;
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//赋值是 等号右边的计算结果给左边
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//i++不是原子性操作，中间会有临时的结果
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//i=i++; //print之后是1 _tmp=0; i=1; i=_tmp=0
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i=i++; //print之后是1 _tmp=0; i=1; i=_tmp=0
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//System.out.println("i="+i); // 1
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System.out.println("i="+i); // 1
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// System.out.println("j="+j); // 0
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//TODO 阶乘：一个大于1的数的阶乘等于这个数乘以他减一的数的阶乘
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@ -2,6 +2,8 @@ package com.atguigu.scala.test;
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//import com.atguigu.scala.chapter09.Scala02_Exception;
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import com.atguigu.scala.chapter09.Scala02_Exception;
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import java.io.FileInputStream;
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import java.io.FileNotFoundException;
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@ -38,7 +40,7 @@ public class TestException {
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// }
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// System.out.println("xxxxxx");
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// Scala02_Exception.test();
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Scala02_Exception.test();
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}
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@ -88,7 +88,6 @@ object ToBitmapApp {
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ClickhouseUtils.executeSql(clearSQL)
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if (tagList.size > 0) {
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//('gender',gender),('agegroup',agegroup),('favor',favor)
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val tagCodeSQL: String = tagList.map(
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@ -113,7 +112,6 @@ object ToBitmapApp {
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}
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}
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}
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@ -34,6 +34,7 @@ public class ZooKeeperTest {
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* @throws KeeperException
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* @throws InterruptedException
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*/
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@Test
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public void deleteAll(String path,ZooKeeper zk) throws KeeperException, InterruptedException {
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//判断当前节点是否存在，获取stat
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@ -12,6 +12,7 @@
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<artifactId>spring_aop</artifactId>
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<packaging>war</packaging>
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<dependencies>
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<dependency>
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<groupId>org.springframework</groupId>
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