jakarta.apache.org/Velocity语法

本文深入探讨了Velocity模板引擎的使用方法,包括变量、循环、条件语句、宏等功能,通过实例展示了如何将Velocity应用于实际开发中。此外,文章还介绍了如何与Servlet结合使用,实现实时动态网页生成。

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转载自     alexwan  http://www.blogjava.net/alexwan/archive/2008/06/07/206473.htmlVelocity 

 


1.     变量  
(1)变量的定义:  
#set($name = "hello")      说明:velocity中变量是弱类型的。  
当使用#set 指令时,括在双引号中的字面字符串将解析和重新解释,如下所示:  


1.     变量 
(1)变量的定义: 
#set($name = "hello")      说明:velocity中变量是弱类型的。 
当使用#set 指令时,括在双引号中的字面字符串将解析和重新解释,如下所示: 

 

 


1.     变量 
(1)变量的定义: 
#set($name = "hello")      说明:velocity中变量是弱类型的。 
当使用#set 指令时,括在双引号中的字面字符串将解析和重新解释,如下所示: 

 

 

 

 

#set($directoryRoot = "www" ) #set($templateName = "index.vm" ) #set($template = "$directoryRoot/$templateName" ) $template

 

 

  
输出将会是:www/index.vm 
注:在velocity中使用$2.5这样的货币标识是没有问题得的,因为velocity中的变量总是以一个大写或者小写的字母开始的。 

(2)变量规范的写法 
${name} ,也可以写成:$name。提倡用前面的写法。 
例如:你希望通过一个变量$vice来动态的组织一个字符串。 
Jack is a $vicemaniac. 
本来变量是$vice现在却变成了$vicemaniac,这样Veloctiy就不知道您到底要什么了。所以,应该使用规范的格式书写 : Jack is a ${vice}maniac 
现在Velocity知道变量是$vice而不是$vicemaniac。
 
注意:当引用属性的时候不能加{} 


(3)变量的赋值:   
$name="hello" 
赋值的左边必须是一个变量或者是属性引用。右边可以是下面六种类型之一: 
变量引用,字面字符串,属性引用,方法引用,字面数字,数组列表。 
下面的例子演示了上述的每种类型: 

#set( $monkey = $bill ) ## variable reference #set( $monkey.Friend = "monica" ) ## string #set( $monkey.Blame = $whitehouse.Leak ) ## property reference #set( $monkey.Plan = $spindoctor.weave($web) ) ## method reference #set( $monkey.Number = 123 ) ##number #set( $monkey.Say = ["Not", $my, "fault"] ) ## ArrayList
 

 
注意:①如果上述例子中的右值是null, 则左值不会被赋值,也就是说会保留以前的值。 
②velocity模板中未被定义的变量将被认为是一个字符串。例如: 
#set($foo = "gibbous") 
$moon = $foo 
输出结果为: 
$moon = gibbous
 
③velocity模板中不会将reference解释为对象的实例变量。例如:$foo.Name将被解释为Foo对象的getName()方法,而不是Foo对象的Name实例变量。例如: 
$foo.getBar()  等同于$foo.Bar ; 
$data.getUser("jon") 等同于$data.User("jon") ; 
data.getRequest().getServerName() 等同于 
$data.Request.ServerName等同于${data.Request.ServerName} 

2.循环 
#foreach ($element in $list) 
     This is $element. 
     $velocityCount 
#end
 
例子: 

#set( $list = ["pine", "oak", "maple"]) #foreach ($element in $list) $velocityCount This is $element.<br> #end
 

 
输出的结果为: 

1 This is pine. 2 This is oak. 3 This is maple.
 

 
每次循环$list中的一个值都会赋给$element变量。 
$list可以是一个Vector、Hashtable或者Array。分配给$element的值是一个java对象,并且可以通过变量被引用。例如:如果$element t是一个java的Product类,并且这个产品的名字可以通过调用他的getName()方法得到。 
#foreach ( $key in $list.keySet()) 
Key: $key -> Value: $list.get($key) <br> 
#end
 
提示:velocity中大小写敏感。 
Velocity还特别提供了得到循环次数的方法,$velocityCount变量的名字是Velocity默认的名字。 

例子: 

 

上面三个例子的输出结果为: 

First example: 1 2 3 4 5 Second example: 2 1 0 -1 -2 Third example: 0 1
 

 

3.条件语句 
#if (condition) 
#elseif (condition) 
#else 
#end 


4.语句的嵌套 

#foreach ($element in $list) ## inner foreach 内循环 #foreach ($element in $list) This is $element. $velocityCount <br>inner<br> #end ## inner foreach 内循环结束 ## outer foreach This is $element. $velocityCount <br>outer<br> #end
 

 
语句中也可以嵌套其他的语句,如#if…#else…#end等。 

5.注释 
(1)单行注释: 
  ## This is a single line comment. 
(2)多行注释: 

#* Thus begins a multi-line comment. Online visitors won’t see this text because the Velocity Templating Engine will ignore it. *#
 
 

 
(3)文档格式: 

#** This is a VTL comment block and may be used to store such information as the document author and versioning information: @version 1.1 @author xiao *#
 

 

6.关系和逻辑操作符 
Velocity 也具有逻辑AND, OR 和 NOT 操作符。 
 

## example for AND #if($foo && $bar) <strong> This AND that</strong> #end
 

 
例子中#if() 指令仅在$foo 和$bar 斗为真的时候才为真。如果$foo 为假,则表达式也为假;并且 $bar 将不被求值。如果 $foo 为真,Velocity 模板引擎将继续检查$bar的值,如果 $bar 为真,则整个表达式为真。并且输出This AND that 。如果 $bar 为假,将没有输出因为整个表达式为假。 

7.Velocity 中的宏 
Velocity中的宏我们可以理解为函数。 
①宏的定义 
#macro(宏的名称 $参数1 $参数2 …) 
   语句体(即函数体) 
#end 
②宏的调用 
#宏的名称($参数1 $参数2 …) 
    说明:参数之间用空格隔开。 

8.#stop 
   停止执行模板引擎并返回,把它应用于debug是很有帮助的。 

9.#include与#parse 
#include和#parse的作用都是引入本地文件, 为了安全的原因,被引入的本地文件只能在TEMPLATE_ROOT目录下。 
区别: 
(1) 与#include不同的是,#parse只能指定单个对象。而#include可以有多个 
如果您需要引入多个文件,可以用逗号分隔就行: 

#include ("one.gif", "two.txt", "three.htm" )
 
 

 
在括号内可以是文件名,但是更多的时候是使用变量的: 

#include ( “greetings.txt”, $seasonalstock )
 

 
(2) #include被引入文件的内容将不会通过模板引擎解析; 
而#parse引入的文件内容Velocity将解析其中的velocity语法并移交给模板,意思就是说相当与把引入的文件copy到文件中。 
#parse是可以递归调用的,例如:如果dofoo.vm包含如下行: 

Count down.<br> #set ($count = 8) #parse ("parsefoo.vm") <br>All done with dofoo.vm!
 

 
那么在parsefoo.vm模板中,你可以包含如下VTL: 

$count #set($count = $count - 1) #if ( $count > 0 )<br> #parse( "parsefoo.vm" ) #else <br>All done with parsefoo.vm!
 

 
#end的显示结果为: 

Count down. 8 7 6 5 4 3 2 1 0 All done with parsefoo.vm! All done with dofoo.vm!
 

 
注意:在vm中使用#parse来嵌套另外一个vm时的变量共享问题。如: 
->a.vm 里嵌套 b.vm; 
->a.vm 里定义了变量 $param; 
->b.vm 里可以直接使用$param,无任何限制。 
但需要特别注意的是,如果b.vm里同时定义有变量$param,则b.vm里将使用b.vm里定义的值。
 

10.转义字符'\'的使用 
如果reference被定义,两个’\’意味着输出一个’\’,如果未被定义,刚按原样输出。如: 

#set($email = "foo" ) $email \$email \\$email \\\$email
 

 
输出: 

foo $email \foo \$email
 

 
如果$email 未定义 

$email \$email \\$email \\\$email
 

 
输出: 

$email \$email \\$email \\$email
 

 

11.内置对象 
Velocity内置了一些对象,在vm模版里可以直接调用,列举如下: 
$request、$response、$session,另外,模板内还可以使用 $msg内的消息工具访问 Struts 的国际化资源,达到简便实现国际化的方法。
 


12. 数组访问 
对数组的访问在Velocity中存在问题,因为Velocity只能访问对象的方法,而数组又是一个特殊的Array,所以虽然数组可以进行循环列举,但却不能定位访问特定位置的元素,如 strs[2],数组对固定位置元素的访问调用了Array的反射方法get(Object array, int index),而Velocity没能提供这样的访问,所以数组要么改成List等其他类容器的方式来包装,要么就通过公用Util类的方式来提供,传入数组对象和要访问的位置参数,从而达到返回所需值的目的。 


 

示例部分

1.Hello world的示例代码: 
(1)Velocity模板(hello.html) 

<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN"> <HTML> <HEAD> <TITLE> New Document </TITLE> </HEAD> <BODY> hello,$name! (注意:这里的name与VelocityTest.java中的名称要一致) </BODY> </HTML>
 

 

(2)将velocity模板的内容转换的类(VelocityTest.java) 

import java.io.File; import java.io.FileOutputStream; import java.io.PrintWriter; import java.io.Writer; import org.apache.velocity.Template; import org.apache.velocity.VelocityContext; import org.apache.velocity.app.Velocity; import org.apache.velocity.app.VelocityEngine; /** * Velocity转换 * @author */ public class VelocityTest { /** * 主函数 * @param args */ public static void main(String[] args) { //获取模板引擎 VelocityEngine ve = new VelocityEngine(); //模板文件所在的路径 String path = "D:/java/jproject/regedit/webroot"; //设置参数 ve.setProperty(Velocity.FILE_RESOURCE_LOADER_PATH, path); //处理中文问题 ve.setProperty(Velocity.INPUT_ENCODING,"GBK"); ve.setProperty(Velocity.OUTPUT_ENCODING,"GBK"); try { } catch (Exception e) { e.printStackTrace(); } } }
 

 
(3)环境的搭建 
在lib目录内分别copy进:velocity-1.4.jar,velocity-dept.jar; 
下载地址:http://jakarta.apache.org/velocity/ 

(4)运行后的结果如下: 

<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN"> <HTML> <HEAD> <TITLE> New Document </TITLE> </HEAD> <BODY> hello,world! </BODY> </HTML>
 

 


2.Servlet和Velocity结合示例 
(1)example.html 

<html> <head><title>Velocity</title></head> <body bgcolor="#ffffff"> <center> <h2>Welcom to Velocity!</h2> <i>Here's the list of people</i> <table cellspacing="0" cellpadding="5" width="20%" > <tr> <td bgcolor="#eeeeee" align="center"> Names: </td> </tr> #foreach ($name in $theList) <tr> <td bgcolor="#eeeeee" align="center">$name</td> </tr> #end </table> </center> </body> </html>
 

 


(2)servlet 

package com.koal.velocity; import java.io.IOException; import java.io.FileNotFoundException; import java.util.ArrayList; import java.util.Properties; import java.util.Vector; import javax.servlet.ServletConfig; import javax.servlet.http.HttpServletRequest; import javax.servlet.http.HttpServletResponse; import org.apache.velocity.Template; import org.apache.velocity.context.Context; import org.apache.velocity.servlet.VelocityServlet; import org.apache.velocity.app.Velocity; import org.apache.velocity.exception.ResourceNotFoundException; import org.apache.velocity.exception.ParseErrorException; public class SampleServlet extends VelocityServlet { /** * 由VelocityServlet.init()调用, * 在此找出模版的路径 */ protected Properties loadConfiguration(ServletConfig config ) throws IOException, FileNotFoundException { Properties p = new Properties(); //取得路径 String path = config.getServletContext().getRealPath("/"); if (path == null) { System.out.println(" SampleServlet.loadConfiguration() : unable to " + "get the current webapp root. Using '/'. Please fix."); path = "/"; } //设置路径 p.setProperty( Velocity.FILE_RESOURCE_LOADER_PATH, path); return p; } /** * Velocity主要的商业逻辑处理方法,由VelocityServlet自动调用 * @param ctx 模板上下文 * @return Template 模板信息 */ public Template handleRequest( HttpServletRequest request, HttpServletResponse response, Context ctx ) { //主要在此设置演示用的数据,开发中在此调用相应的业务处理流程, //并设置返回到页面的数据 //待展示的列表数据 String p1 = "第一位:LiuDong"; String p2 = "第二位:Liang.xf"; Vector personList = new Vector(); //中文需要转换 try { personList.addElement(new String(p1.getBytes(), "ISO-8859-1") ); personList.addElement(new String(p2.getBytes(), "ISO-8859-1") ); } catch (Exception e) { System.out.println("数据转换异常:"+e); } //设置数据,供页面模版替换成显示的数据 ctx.put("theList", personList ); //定义模板 Template outty = null; try { //取模板 outty = getTemplate("example.html"); } catch( ParseErrorException pee ) { System.out.println("SampleServlet: parse error for template " + pee); } catch( ResourceNotFoundException rnfe ) { System.out.println("SampleServlet: template not found " + rnfe); } catch( Exception e ) { System.out.println("Error " + e); } return outty; }
 

 


(3)在web.xml中的配置: 

<web-app> <servlet> <servlet-name>SampleServlet</servlet-name> <servlet-class>com.koal.velocity.SampleServlet</servlet-class> </servlet> <servlet-mapping> <servlet-name>SampleServlet</servlet-name> <url-pattern>/SampleServlet</url-pattern> </servlet-mapping> </web-app>
 

 


(4)环境的搭建 
在lib目录内分别copy进:commons-collections.jar,velocity-1.4.jar,velocity-dept.jar; 
    Tomcat运行环境正常。 
    启动Tomcat,在IE上输入:
http://localhost:8080/example,页面显示数据列表: 

Here's the list of people Names: 第一位:LiuDong 第二位:Liang.xf
 

 
Let life be beautiful like summer flowers and death like autumn leaves. 
posted on 2008-06-07 10:18 Alexwan 阅读(1455) 评论(0)  编辑  收藏 所属分类: J2EE 小笔记

 

 

 

/home/hadoopmaster/jdk1.8.0_161/bin/java -javaagent:/home/hadoopmaster/idea-IC-221.6008.13/lib/idea_rt.jar=34515:/home/hadoopmaster/idea-IC-221.6008.13/bin -Dfile.encoding=UTF-8 -classpath 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1-bin-hadoop2.7/jars/hive-jdbc-2.3.9.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/hk2-utils-2.6.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/httpcore-4.4.14.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/jaxb-api-2.2.11.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/jersey-hk2-2.34.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/jodd-core-3.5.2.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/orc-core-1.6.12.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/super-csv-2.2.0.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/xml-apis-1.4.01.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/zookeeper-3.6.2.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/JLargeArrays-1.5.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/activation-1.1.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/automaton-1.11-8.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/commons-dbcp-1.4.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/commons-lang-2.6.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/commons-text-1.6.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/hive-serde-2.3.9.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/hive-shims-2.3.9.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/javolution-5.5.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/libthrift-0.12.0.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/orc-shims-1.6.12.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/slf4j-api-1.7.30.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/zjsonpatch-0.3.0.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/zstd-jni-1.5.0-4.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/chill-java-0.10.0.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/chill_2.12-0.10.0.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/guice-servlet-3.0.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/hadoop-auth-2.7.4.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/hadoop-hdfs-2.7.4.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/hive-common-2.3.9.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/hk2-locator-2.6.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/httpclient-4.5.13.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/jackson-xc-1.9.13.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/jetty-util-6.1.26.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/joda-time-2.10.10.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/kryo-shaded-4.0.2.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/metrics-jmx-4.2.0.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/metrics-jvm-4.2.0.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/rocksdbjni-6.20.3.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/spire_2.12-0.17.0.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/xercesImpl-2.12.0.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/aircompressor-0.21.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/algebra_2.12-2.0.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/annotations-17.0.0.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/antlr4-runtime-4.8.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/api-util-1.0.0-M20.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/arrow-format-2.0.0.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/arrow-vector-2.0.0.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/avro-mapred-1.10.2.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/commons-codec-1.15.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/commons-pool-1.5.4.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/compress-lzf-1.0.3.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/hive-beeline-2.3.9.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/javax.jdo-3.2.0-m3.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/jaxb-runtime-2.3.2.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/jersey-client-2.34.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/jersey-common-2.34.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/jersey-server-2.34.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/leveldbjni-all-1.8.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/metrics-core-4.2.0.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/metrics-json-4.2.0.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/RoaringBitmap-0.9.0.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/antlr-runtime-3.5.2.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/commons-math3-3.4.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/hadoop-client-2.7.4.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/hadoop-common-2.7.4.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/jackson-core-2.12.3.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/javassist-3.25.0-GA.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/jul-to-slf4j-1.7.30.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/protobuf-java-2.5.0.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/snappy-java-1.1.8.4.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/transaction-api-1.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/bonecp-0.8.0.RELEASE.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/commons-crypto-1.1.0.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/commons-digester-1.8.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/commons-lang3-3.12.0.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/curator-client-2.7.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/hive-exec-2.3.9-core.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/hive-metastore-2.3.9.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/jackson-jaxrs-1.9.13.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/jakarta.inject-2.6.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/orc-mapreduce-1.6.12.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/scala-xml_2.12-1.2.0.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/shapeless_2.12-2.3.3.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/slf4j-log4j12-1.7.30.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/spark-sql_2.12-3.2.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/threeten-extra-1.5.0.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/zookeeper-jute-3.6.2.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/commons-compress-1.21.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/commons-logging-1.1.3.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/curator-recipes-2.7.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/hadoop-yarn-api-2.7.4.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/hive-shims-0.23-2.3.9.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/jcl-over-slf4j-1.7.30.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/parquet-column-1.12.2.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/parquet-common-1.12.2.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/parquet-hadoop-1.12.2.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/scala-library-2.12.15.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/scala-reflect-2.12.15.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/spark-core_2.12-3.2.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/spark-hive_2.12-3.2.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/spark-repl_2.12-3.2.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/spark-tags_2.12-3.2.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/spark-yarn_2.12-3.2.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/api-asn1-api-1.0.0-M20.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/breeze-macros_2.12-1.2.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/cats-kernel_2.12-2.1.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/commons-httpclient-3.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/flatbuffers-java-1.9.0.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/hive-llap-common-2.3.9.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/hive-service-rpc-3.1.2.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/hive-storage-api-2.7.2.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/jetty-sslengine-6.1.26.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/metrics-graphite-4.2.0.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/netty-all-4.1.68.Final.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/parquet-jackson-1.12.2.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/scala-compiler-2.12.15.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/spark-mesos_2.12-3.2.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/spark-mllib_2.12-3.2.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/spire-util_2.12-0.17.0.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/xbean-asm9-shaded-4.20.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/apacheds-i18n-2.0.0-M15.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/arpack_combined_all-0.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/arrow-memory-core-2.0.0.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/commons-beanutils-1.9.4.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/commons-compiler-3.0.16.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/curator-framework-2.7.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/datanucleus-core-4.1.17.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/hive-shims-common-2.3.9.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/jackson-core-asl-1.9.13.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/jackson-databind-2.12.3.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/jakarta.ws.rs-api-2.1.6.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/kubernetes-client-5.4.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/macro-compat_2.12-1.1.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/parquet-encoding-1.12.2.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/spark-graphx_2.12-3.2.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/spark-sketch_2.12-3.2.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/spark-unsafe_2.12-3.2.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/univocity-parsers-2.9.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/arrow-memory-netty-2.0.0.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/datanucleus-rdbms-4.1.19.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/hadoop-annotations-2.7.4.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/hadoop-yarn-client-2.7.4.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/hadoop-yarn-common-2.7.4.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/spark-kvstore_2.12-3.2.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/spire-macros_2.12-0.17.0.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/commons-collections-3.2.2.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/commons-configuration-1.6.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/datanucleus-api-jdo-4.2.4.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/jackson-mapper-asl-1.9.13.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/jakarta.servlet-api-4.0.3.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/json4s-ast_2.12-3.7.0-M11.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/spark-catalyst_2.12-3.2.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/spark-launcher_2.12-3.2.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/audience-annotations-0.5.0.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/hive-shims-scheduler-2.3.9.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/hive-vector-code-gen-2.3.9.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/jackson-annotations-2.12.3.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/jakarta.xml.bind-api-2.3.2.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/json4s-core_2.12-3.7.0-M11.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/spark-streaming_2.12-3.2.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/spire-platform_2.12-0.17.0.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/kubernetes-model-apps-5.4.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/kubernetes-model-core-5.4.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/kubernetes-model-node-5.4.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/kubernetes-model-rbac-5.4.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/logging-interceptor-3.12.12.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/mesos-1.4.0-shaded-protobuf.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/osgi-resource-locator-1.0.3.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/spark-kubernetes_2.12-3.2.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/spark-tags_2.12-3.2.1-tests.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/aopalliance-repackaged-2.6.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/htrace-core-3.1.0-incubating.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/istack-commons-runtime-3.0.8.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/jakarta.annotation-api-1.3.5.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/jakarta.validation-api-2.0.2.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/json4s-scalap_2.12-3.7.0-M11.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/kubernetes-model-batch-5.4.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/spark-mllib-local_2.12-3.2.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/jersey-container-servlet-2.34.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/json4s-jackson_2.12-3.7.0-M11.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/kubernetes-model-common-5.4.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/kubernetes-model-events-5.4.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/kubernetes-model-policy-5.4.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/jackson-dataformat-yaml-2.12.3.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/jackson-datatype-jsr310-2.11.2.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/kubernetes-model-metrics-5.4.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/hadoop-yarn-server-common-2.7.4.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/spark-network-common_2.12-3.2.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/jackson-module-scala_2.12-2.12.3.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/kubernetes-model-discovery-5.4.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/parquet-format-structures-1.12.2.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/spark-network-shuffle_2.12-3.2.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/apacheds-kerberos-codec-2.0.0-M15.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/hadoop-mapreduce-client-app-2.7.4.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/kubernetes-model-extensions-5.4.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/kubernetes-model-networking-5.4.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/kubernetes-model-scheduling-5.4.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/hadoop-mapreduce-client-core-2.7.4.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/hadoop-yarn-server-web-proxy-2.7.4.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/jersey-container-servlet-core-2.34.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/kubernetes-model-autoscaling-5.4.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/kubernetes-model-flowcontrol-5.4.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/scala-collection-compat_2.12-2.1.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/spark-hive-thriftserver_2.12-3.2.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/kubernetes-model-certificates-5.4.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/kubernetes-model-coordination-5.4.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/kubernetes-model-storageclass-5.4.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/scala-parser-combinators_2.12-1.1.2.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/hadoop-mapreduce-client-common-2.7.4.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/kubernetes-model-apiextensions-5.4.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/hadoop-mapreduce-client-shuffle-2.7.4.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/hadoop-mapreduce-client-jobclient-2.7.4.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/kubernetes-model-admissionregistration-5.4.1.jar:/home/hadoopmaster/spark-3.2.1-bin-hadoop2.7/jars/dropwizard-metrics-hadoop-metrics2-reporter-0.1.2.jar kkk.WordCount Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties 25/06/02 20:17:03 INFO SparkContext: Running Spark version 3.2.1 25/06/02 20:17:04 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable 25/06/02 20:17:04 INFO ResourceUtils: ============================================================== 25/06/02 20:17:04 INFO ResourceUtils: No custom resources configured for spark.driver. 25/06/02 20:17:04 INFO ResourceUtils: ============================================================== 25/06/02 20:17:04 INFO SparkContext: Submitted application: WordCount 25/06/02 20:17:04 INFO ResourceProfile: Default ResourceProfile created, executor resources: Map(cores -> name: cores, amount: 1, script: , vendor: , memory -> name: memory, amount: 1024, script: , vendor: , offHeap -> name: offHeap, amount: 0, script: , vendor: ), task resources: Map(cpus -> name: cpus, amount: 1.0) 25/06/02 20:17:04 INFO ResourceProfile: Limiting resource is cpu 25/06/02 20:17:04 INFO ResourceProfileManager: Added ResourceProfile id: 0 25/06/02 20:17:04 INFO SecurityManager: Changing view acls to: root 25/06/02 20:17:04 INFO SecurityManager: Changing modify acls to: root 25/06/02 20:17:04 INFO SecurityManager: Changing view acls groups to: 25/06/02 20:17:04 INFO SecurityManager: Changing modify acls groups to: 25/06/02 20:17:04 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(root); groups with view permissions: Set(); users with modify permissions: Set(root); groups with modify permissions: Set() 25/06/02 20:17:05 INFO Utils: Successfully started service 'sparkDriver' on port 41615. 25/06/02 20:17:05 INFO SparkEnv: Registering MapOutputTracker 25/06/02 20:17:05 INFO SparkEnv: Registering BlockManagerMaster 25/06/02 20:17:05 INFO BlockManagerMasterEndpoint: Using org.apache.spark.storage.DefaultTopologyMapper for getting topology information 25/06/02 20:17:05 INFO BlockManagerMasterEndpoint: BlockManagerMasterEndpoint up 25/06/02 20:17:05 INFO SparkEnv: Registering BlockManagerMasterHeartbeat 25/06/02 20:17:05 INFO DiskBlockManager: Created local directory at /tmp/blockmgr-68486311-3f69-48e8-8f69-e7afffcf5979 25/06/02 20:17:05 INFO MemoryStore: MemoryStore started with capacity 258.5 MiB 25/06/02 20:17:05 INFO SparkEnv: Registering OutputCommitCoordinator 25/06/02 20:17:06 INFO Utils: Successfully started service 'SparkUI' on port 4040. 25/06/02 20:17:06 INFO SparkUI: Bound SparkUI to 0.0.0.0, and started at http://hadoopmaster:4040 25/06/02 20:17:06 INFO Executor: Starting executor ID driver on host hadoopmaster 25/06/02 20:17:06 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 41907. 25/06/02 20:17:06 INFO NettyBlockTransferService: Server created on hadoopmaster:41907 25/06/02 20:17:06 INFO BlockManager: Using org.apache.spark.storage.RandomBlockReplicationPolicy for block replication policy 25/06/02 20:17:06 INFO BlockManagerMaster: Registering BlockManager BlockManagerId(driver, hadoopmaster, 41907, None) 25/06/02 20:17:06 INFO BlockManagerMasterEndpoint: Registering block manager hadoopmaster:41907 with 258.5 MiB RAM, BlockManagerId(driver, hadoopmaster, 41907, None) 25/06/02 20:17:06 INFO BlockManagerMaster: Registered BlockManager BlockManagerId(driver, hadoopmaster, 41907, None) 25/06/02 20:17:06 INFO BlockManager: Initialized BlockManager: BlockManagerId(driver, hadoopmaster, 41907, None) 25/06/02 20:17:08 INFO MemoryStore: Block broadcast_0 stored as values in memory (estimated size 244.0 KiB, free 258.2 MiB) 25/06/02 20:17:09 INFO MemoryStore: Block broadcast_0_piece0 stored as bytes in memory (estimated size 23.4 KiB, free 258.2 MiB) 25/06/02 20:17:09 INFO BlockManagerInfo: Added broadcast_0_piece0 in memory on hadoopmaster:41907 (size: 23.4 KiB, free: 258.5 MiB) 25/06/02 20:17:09 INFO SparkContext: Created broadcast 0 from textFile at WordCount.scala:9 Exception in thread "main" org.apache.hadoop.mapred.InvalidInputException: Input path does not exist: file:/home/hadoopmaster/words.txt at org.apache.hadoop.mapred.FileInputFormat.singleThreadedListStatus(FileInputFormat.java:287) at org.apache.hadoop.mapred.FileInputFormat.listStatus(FileInputFormat.java:229) at org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:315) at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:205) at org.apache.spark.rdd.RDD.$anonfun$partitions$2(RDD.scala:300) at scala.Option.getOrElse(Option.scala:189) at org.apache.spark.rdd.RDD.partitions(RDD.scala:296) at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:49) at org.apache.spark.rdd.RDD.$anonfun$partitions$2(RDD.scala:300) at scala.Option.getOrElse(Option.scala:189) at org.apache.spark.rdd.RDD.partitions(RDD.scala:296) at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:49) at org.apache.spark.rdd.RDD.$anonfun$partitions$2(RDD.scala:300) at scala.Option.getOrElse(Option.scala:189) at org.apache.spark.rdd.RDD.partitions(RDD.scala:296) at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:49) at org.apache.spark.rdd.RDD.$anonfun$partitions$2(RDD.scala:300) at scala.Option.getOrElse(Option.scala:189) at org.apache.spark.rdd.RDD.partitions(RDD.scala:296) at org.apache.spark.Partitioner$.$anonfun$defaultPartitioner$4(Partitioner.scala:78) at org.apache.spark.Partitioner$.$anonfun$defaultPartitioner$4$adapted(Partitioner.scala:78) at scala.collection.immutable.List.map(List.scala:293) at org.apache.spark.Partitioner$.defaultPartitioner(Partitioner.scala:78) at org.apache.spark.rdd.PairRDDFunctions.$anonfun$reduceByKey$4(PairRDDFunctions.scala:322) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112) at org.apache.spark.rdd.RDD.withScope(RDD.scala:414) at org.apache.spark.rdd.PairRDDFunctions.reduceByKey(PairRDDFunctions.scala:322) at kkk.WordCount$.main(WordCount.scala:10) at kkk.WordCount.main(WordCount.scala) 25/06/02 20:17:09 INFO SparkContext: Invoking stop() from shutdown hook 25/06/02 20:17:09 INFO SparkUI: Stopped Spark web UI at http://hadoopmaster:4040 25/06/02 20:17:09 INFO MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped! 25/06/02 20:17:09 INFO MemoryStore: MemoryStore cleared 25/06/02 20:17:09 INFO BlockManager: BlockManager stopped 25/06/02 20:17:09 INFO BlockManagerMaster: BlockManagerMaster stopped 25/06/02 20:17:09 INFO OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped! 25/06/02 20:17:10 INFO SparkContext: Successfully stopped SparkContext 25/06/02 20:17:10 INFO ShutdownHookManager: Shutdown hook called 25/06/02 20:17:10 INFO ShutdownHookManager: Deleting directory /tmp/spark-213e3a91-227c-4e0a-8254-ab5c0f00786d Process finished with exit code 1
最新发布
06-04
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