在WIndows7下使用VMware vSphere Client时出错的解决方案

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【简介】感谢网友“最长为七个字符”参与投稿,下面是小编为大家推荐的在WIndows7下使用VMware vSphere Client时出错的解决方案(共2篇),仅供参考,欢迎大家阅读,希望可以帮助到有需要的朋友。

篇1:在WIndows7下使用VMware vSphere Client时出错的解决方案

很多朋友说,在Windows7系统下,使用VMware vSphere Client时提示出错,在此,重庆诚恺科技为大家支持具体的解决方案:

ESXi4安装好后,通过191.168.15.101进去下载了VMWare vSphere Client,安装后连接ESXi服务器的IP 192.168.15.101,居然连不通,系统提示“分析服务器“192.168.15.101”的“clients.xml”文件时出错,登录将继续,请联系系统管理员。”,点出确定之后继续报错““VirtualInfrastructure.Utils.HttpWebRequestProxy”的类型初始值设定项引发异常。”,进而无法田连接到ESXi4。经过多方努力,这一问题终得解决。原来是Win7下的Dotnet是3.5版本,而VMWARE 的vShpere用的是2.0。解决方法如下:

1.  打开文件夹: C:Program Files(X86)VmwareInfrastructureVirtual Infrastructure ClientLauncher

2.  编辑文件 VpxClient.exe.config 增加如下内容(红色显示):

3. 创建一个文件夹,放dotnet2.0的 System.dll 放到新建的文件夹中,

4. 编辑系统的环境变量,新增一个叫DEVPATH环境变量,值就是你放dotnet2.0的System.dll的目录,比如我的:

C:Program Files(x86)VMwareInfrastructureVirtual Infrastructure ClientLauncherLib

现在,vSphere client 应该可以工作了。

But the Host Update Utility still won't work, so there's just one additional steps to get that working:

5.  Copy VpxClient.exe.config file (from above) to the following location, re-naming it VIUApp.exe.config:

C:Program Files (x86)VMwareInfrastructureVIUpdate 4.0

注意一下,这个里面说到的System.dll文件可以在XP等之类的装了.net 2.0的机器上复制到,具体位置位于

%SystemRoot%Microsoft.NETFrameworkv2.0.50727System.dll,Win7自带的就是.net 3.5了。

篇2:Hadoop在Windows7操作系统下使用Eclipse来搭建hadoop开发环境

网上有一些都是在Linux下使用安装Eclipse来进行hadoop应用开发,但是大部分Java程序员对linux系统不是那么熟悉,所以需要在windows下开发hadoop程序,所以经过试验,总结了下如何在windows下使用Eclipse来开发hadoop程序代码,

1、需要下载hadoop的专门插件jar包

hadoop版本为2.3.0,hadoop集群搭建在centos6x上面,插件包下载地址为:download.csdn.net/detail/mchdba/8267181,jar包名字为hadoop-eclipse-plugin-2.3.0,可以适用于hadoop2x系列软件版本。

2、把插件包放到eclipse/plugins目录下

为了以后方便,我这里把尽可能多的jar包都放进来了,如下图所示:

3、重启eclipse,配置Hadoop installation directory

如果插件安装成功,打开Windows—Preferences后,在窗口左侧会有Hadoop Map/Reduce选项,点击此选项,在窗口右侧设置Hadoop安装路径。

4、配置Map/Reduce Locations

打开Windows-->Open Perspective-->Other

选择Map/Reduce,点击OK,在右下方看到有个Map/Reduce Locations的图标,如下图所示:

点击Map/Reduce Location选项卡,点击右边小象图标,打开Hadoop Location配置窗口:

输入Location Name,任意名称即可.配置Map/Reduce Master和DFS Mastrer,Host和Port配置成与core-site.xml的设置一致即可。

去找core-site.xml配置:

fs.default.namehdfs://name01:9000

在界面配置如下:

点击”Finish“按钮,关闭窗口。点击左侧的DFSLocations—>myhadoop(上一步配置的location name),如能看到user,表示安装成功,但是进去看到报错信息:Error: Permission denied: user=root,access=READ_EXECUTE,inode=”/tmp“;hadoop:supergroup:drwx---------,如下图所示:

应该是权限问题:把/tmp/目录下面所有的关于hadoop的文件夹设置成hadoop用户所有然后分配授予777权限。

cd /tmp/

chmod 777 /tmp/

chown -R hadoop.hadoop /tmp/hsperfdata_root

之后重新连接打开DFS Locations就显示正常了。

Map/Reduce Master (此处为Hadoop集群的Map/Reduce地址,应该和mapred-site.xml中的mapred.job.tracker设置相同)

(1):点击报错:

An internal error occurred during: ”Connecting to DFS hadoopname01“.

java.net.UnknownHostException: name01

直接在hostname那一栏里面设置ip地址为:192.168.52.128,即可,这样就正常打开了,如下图所示:

5、新建WordCount项目

File—>Project,选择Map/Reduce Project,输入项目名称WordCount等。

在WordCount项目里新建class,名称为WordCount,报错代码如下:Invalid Hadoop Runtime specified; please click 'Configure Hadoop install directory' or fill in library location input field,报错原因是目录选择不对,不能选择在跟目录E:\\hadoop下,换成E:\\u\\hadoop\\就可以了,如下所示:

一路下一步过去,点击Finished按钮,完成工程创建,Eclipse控制台下面出现如下信息:

14-12-9 下午04时03分10秒: Eclipse is running in a JRE, but a JDK is required

Some Maven plugins may not work when importing projects or updating source folders.

14-12-9 下午04时03分13秒: Refreshing [/WordCount/pom.xml]

14-12-9 下午04时03分14秒: Refreshing [/WordCount/pom.xml]

14-12-9 下午04时03分14秒: Refreshing [/WordCount/pom.xml]

14-12-9 下午04时03分14秒: Updating index central|repo1.maven.org/maven2

14-12-9 下午04时04分10秒: Updated index for central|repo1.maven.org/maven2

6, Lib包导入:

/hadoop-2.3.0/share/hadoop/common下所有jar包,及里面的lib目录下所有jar包,

7,Eclipse直接提交mapreduce任务所需要环境配置代码如下所示:

package wc;

import java.io.IOException;

import java.util.StringTokenizer;

import org.apache.hadoop.conf.Configuration;

import org.apache.hadoop.fs.Path;

import org.apache.hadoop.io.IntWritable;

import org.apache.hadoop.io.Text;

import org.apache.hadoop.mapreduce.Job;

import org.apache.hadoop.mapreduce.Mapper;

import org.apache.hadoop.mapreduce.Reducer;

import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;

import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;

import org.apache.hadoop.util.GenericOptionsParser;

public class W2 {

public static class TokenizerMapper extends

Mapper{

private final static IntWritable ne = new IntWritable(1);

private Text word = new Text();

public void map(Object key, Text value, Context context)

throws IOException, InterruptedException {

StringTokenizer itr = new StringTokenizer(value.toString());

while (itr.hasMoreTokens()) {

word.set(itr.nextToken());

context.write(word, one);

}

}

}

public static class IntSumReducer extends

Reducer{

private IntWritable result = new IntWritable();

public void reduce(Text key, Iterablevalues,

Context context) throws IOException, InterruptedException {

int sum = 0;

for (IntWritable val : values) {

sum += val.get();

}

result.set(sum);

context.write(key, result);

}

}

public static void main(String[] args) throws Exception {

Configuration conf = new Configuration(); System.setProperty(\\

8、运行

8.1、在HDFS上创建目录input

[hadoop@name01 hadoop-2.3.0]$ hadoop fs -ls /

[hadoop@name01 hadoop-2.3.0]$ hadoop fs -mkdir input

mkdir: `input': No such file or directory

[hadoop@name01 hadoop-2.3.0]$ PS:fs需要全目录的方式来创建文件夹

如果Apache hadoop版本是0.x 或者1.x,

bin/hadoop hdfs fs -mkdir -p /in

bin/hadoop hdfs fs -put /home/du/input /in

如果Apache hadoop版本是2.x.

bin/hdfs dfs -mkdir -p /in

bin/hdfs dfs -put /home/du/input /in

如果是发行版的hadoop,比如Cloudera CDH,IBM BI,Hortonworks HDP 则第一种命令即可。要注意创建目录的全路径。另外hdfs的根目录是 /

2、拷贝本地README.txt到HDFS的input里

[hadoop@name01 hadoop-2.3.0]$ find . -name README.txt

./share/doc/hadoop/common/README.txt

[hadoop@name01 ~]$ hadoop fs -copyFromLocal ./src/hadoop-2.3.0/share/doc/hadoop/common/README.txt /data/input

[hadoop@name01 ~]$

[hadoop@name01 ~]$ hadoop fs -ls /

3,运行hadoop结束后,查看输出结果

2014-12-16 15:34:01,303 INFO [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(996)) - session.id is deprecated. Instead, use dfs.metrics.session-id

2014-12-16 15:34:01,309 INFO [main] jvm.JvmMetrics (JvmMetrics.java:init(76)) - Initializing JVM Metrics with processName=JobTracker, sessionId=

2014-12-16 15:34:02,047 INFO [main] input.FileInputFormat (FileInputFormat.java:listStatus(287)) - Total input paths to process : 1

2014-12-16 15:34:02,120 INFO [main] mapreduce.JobSubmitter (JobSubmitter.java:submitJobInternal(396)) - number of splits:1

2014-12-16 15:34:02,323 INFO [main] mapreduce.JobSubmitter (JobSubmitter.java:printTokens(479)) - Submitting tokens for job: job_local1764589720_0001

2014-12-16 15:34:02,367 WARN [main] conf.Configuration (Configuration.java:loadProperty(2345)) - file:/tmp/hadoop-hadoop/mapred/staging/hadoop1764589720/.staging/job_local1764589720_0001/job.xml:an attempt to override final parameter: mapreduce.job.end-notification.max.retry.interval; Ignoring.

2014-12-16 15:34:02,368 WARN [main] conf.Configuration (Configuration.java:loadProperty(2345)) - file:/tmp/hadoop-hadoop/mapred/staging/hadoop1764589720/.staging/job_local1764589720_0001/job.xml:an attempt to override final parameter: mapreduce.job.end-notification.max.attempts; Ignoring.

2014-12-16 15:34:02,682 WARN [main] conf.Configuration (Configuration.java:loadProperty(2345)) - file:/tmp/hadoop-hadoop/mapred/local/localRunner/hadoop/job_local1764589720_0001/job_local1764589720_0001.xml:an attempt to override final parameter: mapreduce.job.end-notification.max.retry.interval; Ignoring.

2014-12-16 15:34:02,682 WARN [main] conf.Configuration (Configuration.java:loadProperty(2345)) - file:/tmp/hadoop-hadoop/mapred/local/localRunner/hadoop/job_local1764589720_0001/job_local1764589720_0001.xml:an attempt to override final parameter: mapreduce.job.end-notification.max.attempts; Ignoring.

2014-12-16 15:34:02,703 INFO [main] mapreduce.Job (Job.java:submit(1289)) - The url to track the job: localhost:8080/

2014-12-16 15:34:02,704 INFO [main] mapreduce.Job (Job.java:monitorAndPrintJob(1334)) - Running job: job_local1764589720_0001

2014-12-16 15:34:02,707 INFO [Thread-4] mapred.LocalJobRunner (LocalJobRunner.java:createOutputCommitter(471)) - OutputCommitter set in config null

2014-12-16 15:34:02,719 INFO [Thread-4] mapred.LocalJobRunner (LocalJobRunner.java:createOutputCommitter(489)) - OutputCommitter is org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter

2014-12-16 15:34:02,853 INFO [Thread-4] mapred.LocalJobRunner (LocalJobRunner.java:runTasks(448)) - Waiting for map tasks

2014-12-16 15:34:02,857 INFO [LocalJobRunner Map Task Executor #0] mapred.LocalJobRunner (LocalJobRunner.java:run(224)) - Starting task: attempt_local1764589720_0001_m_000000_0

2014-12-16 15:34:02,919 INFO [LocalJobRunner Map Task Executor #0] util.ProcfsBasedProcessTree (ProcfsBasedProcessTree.java:isAvailable(129)) - ProcfsBasedProcessTree currently is supported only on Linux.

2014-12-16 15:34:03,281 INFO [LocalJobRunner Map Task Executor #0] mapred.Task (Task.java:initialize(581)) - Using ResourceCalculatorProcessTree : org.apache.hadoop.yarn.util.WindowsBasedProcessTree@2e1022ec

2014-12-16 15:34:03,287 INFO [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:runNewMapper(733)) - Processing split: hdfs://192.168.52.128:9000/data/input/README.txt:0+1366

2014-12-16 15:34:03,304 INFO [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:createSortingCollector(388)) - Map output collector class = org.apache.hadoop.mapred.MapTask$MapOutputBuffer

2014-12-16 15:34:03,340 INFO [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:setEquator(1181)) - (EQUATOR) 0 kvi 26214396(104857584)

2014-12-16 15:34:03,341 INFO [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:init(975)) - mapreduce.task.io.sort.mb: 100

2014-12-16 15:34:03,341 INFO [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:init(976)) - soft limit at 83886080

2014-12-16 15:34:03,341 INFO [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:init(977)) - bufstart = 0; bufvoid = 104857600

2014-12-16 15:34:03,341 INFO [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:init(978)) - kvstart = 26214396; length = 6553600

2014-12-16 15:34:03,708 INFO [main] mapreduce.Job (Job.java:monitorAndPrintJob(1355)) - Job job_local1764589720_0001 running in uber mode : false

2014-12-16 15:34:03,710 INFO [main] mapreduce.Job (Job.java:monitorAndPrintJob(1362)) - map 0% reduce 0%

2014-12-16 15:34:04,121 INFO [LocalJobRunner Map Task Executor #0] mapred.LocalJobRunner (LocalJobRunner.java:statusUpdate(591)) -

2014-12-16 15:34:04,128 INFO [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:flush(1435)) - Starting flush of map output

2014-12-16 15:34:04,128 INFO [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:flush(1453)) - Spilling map output

2014-12-16 15:34:04,128 INFO [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:flush(1454)) - bufstart = 0; bufend = 2055; bufvoid = 104857600

2014-12-16 15:34:04,128 INFO [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:flush(1456)) - kvstart = 26214396(104857584); kvend = 26213684(104854736); length = 713/6553600

2014-12-16 15:34:04,179 INFO [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:sortAndSpill(1639)) - Finished spill 0

2014-12-16 15:34:04,194 INFO [LocalJobRunner Map Task Executor #0] mapred.Task (Task.java:done(995)) - Task:attempt_local1764589720_0001_m_000000_0 is done. And is in the process of committing

2014-12-16 15:34:04,207 INFO [LocalJobRunner Map Task Executor #0] mapred.LocalJobRunner (LocalJobRunner.java:statusUpdate(591)) - map

2014-12-16 15:34:04,208 INFO [LocalJobRunner Map Task Executor #0] mapred.Task (Task.java:sendDone(1115)) - Task \\'attempt_local1764589720_0001_m_000000_0\\' done.

2014-12-16 15:34:04,208 INFO [LocalJobRunner Map Task Executor #0] mapred.LocalJobRunner (LocalJobRunner.java:run(249)) - Finishing task: attempt_local1764589720_0001_m_000000_0

2014-12-16 15:34:04,208 INFO [Thread-4] mapred.LocalJobRunner (LocalJobRunner.java:runTasks(456)) - map task executor complete.

2014-12-16 15:34:04,211 INFO [Thread-4] mapred.LocalJobRunner (LocalJobRunner.java:runTasks(448)) - Waiting for reduce tasks

2014-12-16 15:34:04,211 INFO [pool-6-thread-1] mapred.LocalJobRunner (LocalJobRunner.java:run(302)) - Starting task: attempt_local1764589720_0001_r_000000_0

2014-12-16 15:34:04,221 INFO [pool-6-thread-1] util.ProcfsBasedProcessTree (ProcfsBasedProcessTree.java:isAvailable(129)) - ProcfsBasedProcessTree currently is supported only on Linux.

2014-12-16 15:34:04,478 INFO [pool-6-thread-1] mapred.Task (Task.java:initialize(581)) - Using ResourceCalculatorProcessTree : org.apache.hadoop.yarn.util.WindowsBasedProcessTree@36154615

2014-12-16 15:34:04,483 INFO [pool-6-thread-1] mapred.ReduceTask (ReduceTask.java:run(362)) - Using ShuffleConsumerPlugin: org.apache.hadoop.mapreduce.task.reduce.Shuffle@e2b02a3

2014-12-16 15:34:04,500 INFO [pool-6-thread-1] reduce.MergeManagerImpl (MergeManagerImpl.java:(193)) - MergerManager: memoryLimit=949983616, maxSingleShuffleLimit=237495904, mergeThreshold=626989184, ioSortFactor=10, memToMemMergeOutputsThreshold=10

2014-12-16 15:34:04,503 INFO [EventFetcher for fetching Map Completion Events] reduce.EventFetcher (EventFetcher.java:run(61)) - attempt_local1764589720_0001_r_000000_0 Thread started: EventFetcher for fetching Map Completion Events

2014-12-16 15:34:04,543 INFO [localfetcher#1] reduce.LocalFetcher (LocalFetcher.java:copyMapOutput(140)) - localfetcher#1 about to shuffle output ofmap attempt_local1764589720_0001_m_000000_0 decomp: 1832 len: 1836 to MEMORY

2014-12-16 15:34:04,548 INFO [localfetcher#1] reduce.InMemoryMapOutput (InMemoryMapOutput.java:shuffle(100)) - Read 1832 bytes from map-output for attempt_local1764589720_0001_m_000000_0

2014-12-16 15:34:04,553 INFO [localfetcher#1] reduce.MergeManagerImpl (MergeManagerImpl.java:closeInMemoryFile(307)) - closeInMemoryFile ->map-output of size: 1832, inMemoryMapOutputs.size() ->1, commitMemory ->0, usedMemory ->1832

2014-12-16 15:34:04,564 INFO [EventFetcher for fetching Map Completion Events] reduce.EventFetcher (EventFetcher.java:run(76)) - EventFetcher is interrupted.. Returning

2014-12-16 15:34:04,566 INFO [pool-6-thread-1] mapred.LocalJobRunner (LocalJobRunner.java:statusUpdate(591)) - 1 / 1 copied.

2014-12-16 15:34:04,566 INFO [pool-6-thread-1] reduce.MergeManagerImpl (MergeManagerImpl.java:finalMerge(667)) - finalMerge called with 1 in-memory map-outputs and 0 on-disk map-outputs

2014-12-16 15:34:04,585 INFO [pool-6-thread-1] mapred.Merger (Merger.java:merge(589)) - Merging 1 sorted segments

2014-12-16 15:34:04,585 INFO [pool-6-thread-1] mapred.Merger (Merger.java:merge(688)) - Down to the last merge-pass, with 1 segments left of total size: 1823 bytes

2014-12-16 15:34:04,605 INFO [pool-6-thread-1] reduce.MergeManagerImpl (MergeManagerImpl.java:finalMerge(742)) - Merged 1 segments, 1832 bytes to disk to satisfy reduce memory limit

2014-12-16 15:34:04,605 INFO [pool-6-thread-1] reduce.MergeManagerImpl (MergeManagerImpl.java:finalMerge(772)) - Merging 1 files, 1836 bytes from disk

2014-12-16 15:34:04,606 INFO [pool-6-thread-1] reduce.MergeManagerImpl (MergeManagerImpl.java:finalMerge(787)) - Merging 0 segments, 0 bytes from memory into reduce

2014-12-16 15:34:04,607 INFO [pool-6-thread-1] mapred.Merger (Merger.java:merge(589)) - Merging 1 sorted segments

2014-12-16 15:34:04,608 INFO [pool-6-thread-1] mapred.Merger (Merger.java:merge(688)) - Down to the last merge-pass, with 1 segments left of total size: 1823 bytes

2014-12-16 15:34:04,608 INFO [pool-6-thread-1] mapred.LocalJobRunner (LocalJobRunner.java:statusUpdate(591)) - 1 / 1 copied.

2014-12-16 15:34:04,643 INFO [pool-6-thread-1] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(996)) - mapred.skip.on is deprecated. Instead, use mapreduce.job.skiprecords

2014-12-16 15:34:04,714 INFO [main] mapreduce.Job (Job.java:monitorAndPrintJob(1362)) - map 100% reduce 0%

2014-12-16 15:34:04,842 INFO [pool-6-thread-1] mapred.Task (Task.java:done(995)) - Task:attempt_local1764589720_0001_r_000000_0 is done. And is in the process of committing

2014-12-16 15:34:04,850 INFO [pool-6-thread-1] mapred.LocalJobRunner (LocalJobRunner.java:statusUpdate(591)) - 1 / 1 copied.

2014-12-16 15:34:04,850 INFO [pool-6-thread-1] mapred.Task (Task.java:commit(1156)) - Task attempt_local1764589720_0001_r_000000_0 is allowed to commit now

2014-12-16 15:34:04,881 INFO [pool-6-thread-1] output.FileOutputCommitter (FileOutputCommitter.java:commitTask(439)) - Saved output of task \\'attempt_local1764589720_0001_r_000000_0\\' to hdfs://192.168.52.128:9000/data/output/_temporary/0/task_local1764589720_0001_r_000000

2014-12-16 15:34:04,884 INFO [pool-6-thread-1] mapred.LocalJobRunner (LocalJobRunner.java:statusUpdate(591)) - reduce >reduce

2014-12-16 15:34:04,884 INFO [pool-6-thread-1] mapred.Task (Task.java:sendDone(1115)) - Task \\'attempt_local1764589720_0001_r_000000_0\\' done.

2014-12-16 15:34:04,885 INFO [pool-6-thread-1] mapred.LocalJobRunner (LocalJobRunner.java:run(325)) - Finishing task: attempt_local1764589720_0001_r_000000_0

2014-12-16 15:34:04,885 INFO [Thread-4] mapred.LocalJobRunner (LocalJobRunner.java:runTasks(456)) - reduce task executor complete.

2014-12-16 15:34:05,714 INFO [main] mapreduce.Job (Job.java:monitorAndPrintJob(1362)) - map 100% reduce 100%

2014-12-16 15:34:05,714 INFO [main] mapreduce.Job (Job.java:monitorAndPrintJob(1373)) - Job job_local1764589720_0001 completed successfully

2014-12-16 15:34:05,733 INFO [main] mapreduce.Job (Job.java:monitorAndPrintJob(1380)) - Counters: 38

File System Counters

FILE: Number of bytes read=34542

FILE: Number of bytes written=470650

FILE: Number of read perations=0

FILE: Number of large read perations=0

FILE: Number of write perations=0

HDFS: Number of bytes read=2732

HDFS: Number of bytes written=1306

HDFS: Number of read perations=15

HDFS: Number of large read perations=0

HDFS: Number of write perations=4

Map-Reduce Framework

Map input records=31

Map output records=179

Map output bytes=2055

Map output materialized bytes=1836

Input split bytes=113

Combine input records=179

Combine output records=131

Reduce input groups=131

Reduce shuffle bytes=1836

Reduce input records=131

Reduce output records=131

Spilled Records=262

Shuffled Maps =1

Failed Shuffles=0

Merged Map utputs=1

GC time elapsed (ms)=13

CPU time spent (ms)=0

Physical memory (bytes) snapshot=0

Virtual memory (bytes) snapshot=0

Total committed heap usage (bytes)=440664064

Shuffle Errors

BAD_ID=0

CONNECTION=0

IO_ERROR=0

WRONG_LENGTH=0

WRONG_MAP=0

WRONG_REDUCE=0

File Input Format Counters

Bytes Read=1366

File Output Format Counters

Bytes Written=1306

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