【源码编译】spark源码编译

本文采用cdh版本spark-1.6.0-cdh5.12.0

1.源码包下载

2.进入根目录编译，编译的方式有2种

maven

mvn clean package \
-DskipTests -Phadoop-2.6 \
-Dhadoop.version=2.6.0-cdh5.12.0 -Pyarn \
-Phive-1.1.0 -Phive-thriftserver

make-distribution

./make-distribution.sh --tgz \
-Phadoop-2.6 -Dhadoop.version=2.6.0-cdh5.12.0 \
-Pyarn \
-Phive-1.1.0 -Phive-thriftserver

参数说明

--name：指定编译完成后Spark安装包的名字
--tgz：以tgz的方式进行压缩
-Psparkr：编译出来的Spark支持R语言
-Phadoop-2.4：以hadoop-2.4的profile进行编译，具体的profile可以看出源码根目录中的pom.xml中查看
-Phive和-Phive-thriftserver：编译出来的Spark支持对Hive的操作
-Pmesos：编译出来的Spark支持运行在Mesos上
-Pyarn：编译出来的Spark支持运行在YARN上

（1）maven方式编译

[WARNING] The requested profile "hive-1.1.0" could not be activated because it does not exist.
[ERROR] Failed to execute goal net.alchim31.maven:scala-maven-plugin:3.2.2:compile (scala-compile-first) on project spark-hive-thriftserver_2.10: Execution scala-compile-first of goal net.alchim31.maven:scala-maven-plugin:3.2.2:compile failed. CompileFailed -> [Help 1]
org.apache.maven.lifecycle.LifecycleExecutionException: Failed to execute goal net.alchim31.maven:scala-maven-plugin:3.2.2:compile (scala-compile-first) on project spark-hive-thriftserver_2.10: Execution scala-compile-first of goal net.alchim31.maven:scala-maven-plugin:3.2.2:compile failed.
    at org.apache.maven.lifecycle.internal.MojoExecutor.execute(MojoExecutor.java:212)
    at org.apache.maven.lifecycle.internal.MojoExecutor.execute(MojoExecutor.java:153)
    at org.apache.maven.lifecycle.internal.MojoExecutor.execute(MojoExecutor.java:145)
    at org.apache.maven.lifecycle.internal.LifecycleModuleBuilder.buildProject(LifecycleModuleBuilder.java:116)
    at org.apache.maven.lifecycle.internal.LifecycleModuleBuilder.buildProject(LifecycleModuleBuilder.java:80)
    at org.apache.maven.lifecycle.internal.builder.singlethreaded.SingleThreadedBuilder.build(SingleThreadedBuilder.java:51)
    at org.apache.maven.lifecycle.internal.LifecycleStarter.execute(LifecycleStarter.java:128)
    at org.apache.maven.DefaultMaven.doExecute(DefaultMaven.java:307)
    at org.apache.maven.DefaultMaven.doExecute(DefaultMaven.java:193)
    at org.apache.maven.DefaultMaven.execute(DefaultMaven.java:106)
    at org.apache.maven.cli.MavenCli.execute(MavenCli.java:863)
    at org.apache.maven.cli.MavenCli.doMain(MavenCli.java:288)
    at org.apache.maven.cli.MavenCli.main(MavenCli.java:199)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:498)
    at org.codehaus.plexus.classworlds.launcher.Launcher.launchEnhanced(Launcher.java:289)
    at org.codehaus.plexus.classworlds.launcher.Launcher.launch(Launcher.java:229)
    at org.codehaus.plexus.classworlds.launcher.Launcher.mainWithExitCode(Launcher.java:415)
    at org.codehaus.plexus.classworlds.launcher.Launcher.main(Launcher.java:356)
Caused by: org.apache.maven.plugin.PluginExecutionException: Execution scala-compile-first of goal net.alchim31.maven:scala-maven-plugin:3.2.2:compile failed.
    at org.apache.maven.plugin.DefaultBuildPluginManager.executeMojo(DefaultBuildPluginManager.java:145)
    at org.apache.maven.lifecycle.internal.MojoExecutor.execute(MojoExecutor.java:207)
    ... 20 more
Caused by: Compilation failed
    at sbt.compiler.AnalyzingCompiler.call(AnalyzingCompiler.scala:105)
    at sbt.compiler.AnalyzingCompiler.compile(AnalyzingCompiler.scala:48)
    at sbt.compiler.AnalyzingCompiler.compile(AnalyzingCompiler.scala:41)
    at sbt.compiler.AggressiveCompile$$anonfun$3$$anonfun$compileScala$1$1.apply$mcV$sp(AggressiveCompile.scala:99)
    at sbt.compiler.AggressiveCompile$$anonfun$3$$anonfun$compileScala$1$1.apply(AggressiveCompile.scala:99)
    at sbt.compiler.AggressiveCompile$$anonfun$3$$anonfun$compileScala$1$1.apply(AggressiveCompile.scala:99)
    at sbt.compiler.AggressiveCompile.sbt$compiler$AggressiveCompile$$timed(AggressiveCompile.scala:166)
    at sbt.compiler.AggressiveCompile$$anonfun$3.compileScala$1(AggressiveCompile.scala:98)
    at sbt.compiler.AggressiveCompile$$anonfun$3.apply(AggressiveCompile.scala:143)
    at sbt.compiler.AggressiveCompile$$anonfun$3.apply(AggressiveCompile.scala:87)
    at sbt.inc.IncrementalCompile$$anonfun$doCompile$1.apply(Compile.scala:39)
    at sbt.inc.IncrementalCompile$$anonfun$doCompile$1.apply(Compile.scala:37)
    at sbt.inc.IncrementalCommon.cycle(Incremental.scala:99)
    at sbt.inc.Incremental$$anonfun$1.apply(Incremental.scala:38)
    at sbt.inc.Incremental$$anonfun$1.apply(Incremental.scala:37)
    at sbt.inc.Incremental$.manageClassfiles(Incremental.scala:65)
    at sbt.inc.Incremental$.compile(Incremental.scala:37)
    at sbt.inc.IncrementalCompile$.apply(Compile.scala:27)
    at sbt.compiler.AggressiveCompile.compile2(AggressiveCompile.scala:157)
    at sbt.compiler.AggressiveCompile.compile1(AggressiveCompile.scala:71)
    at com.typesafe.zinc.Compiler.compile(Compiler.scala:184)
    at com.typesafe.zinc.Compiler.compile(Compiler.scala:164)
    at sbt_inc.SbtIncrementalCompiler.compile(SbtIncrementalCompiler.java:92)
    at scala_maven.ScalaCompilerSupport.incrementalCompile(ScalaCompilerSupport.java:303)
    at scala_maven.ScalaCompilerSupport.compile(ScalaCompilerSupport.java:119)
    at scala_maven.ScalaCompilerSupport.doExecute(ScalaCompilerSupport.java:99)
    at scala_maven.ScalaMojoSupport.execute(ScalaMojoSupport.java:482)
    at org.apache.maven.plugin.DefaultBuildPluginManager.executeMojo(DefaultBuildPluginManager.java:134)
    ... 21 more
[ERROR]
[ERROR]
[ERROR] For more information about the errors and possible solutions, please read the following articles:
[ERROR] [Help 1] http://cwiki.apache.org/confluence/display/MAVEN/PluginExecutionException
[ERROR]
[ERROR] After correcting the problems, you can resume the build with the command
[ERROR]   mvn <goals> -rf :spark-hive-thriftserver_2.10
[root@node1 spark-src

解决方式总结

①修改scala版本

./dev/change-scala-version.sh 2.11

改变版本的时候会提示只能修改为2.10或者2.11版本，其他版本无效

②hive-thiftserver的pom中增加jline包，在官网下载对应的cdh版hive包时可以看到需要的是2.12版本的包

<dependency>
  <groupId>jline</groupId>
  <artifactId>jline</artifactId>
  <version>2.12</version>
</dependency>

使用方式（a）后编译通过，（b）依然失败

然后报出新的问题

[INFO] ------------------------------------------------------------------------
[INFO] Reactor Summary:
[INFO]
[INFO] Spark Project Parent POM ........................... SUCCESS [  3.273 s]
[INFO] Spark Project Test Tags ............................ SUCCESS [  1.958 s]
[INFO] Spark Project Core ................................. SUCCESS [01:27 min]
[INFO] Spark Project Bagel ................................ SUCCESS [ 27.661 s]
[INFO] Spark Project GraphX ............................... SUCCESS [01:31 min]
[INFO] Spark Project ML Library ........................... SUCCESS [05:46 min]
[INFO] Spark Project Tools ................................ SUCCESS [ 36.041 s]
[INFO] Spark Project Networking ........................... SUCCESS [  8.248 s]
[INFO] Spark Project Shuffle Streaming Service ............ SUCCESS [ 16.996 s]
[INFO] Spark Project Streaming ............................ SUCCESS [03:28 min]
[INFO] Spark Project Catalyst ............................. SUCCESS [04:50 min]
[INFO] Spark Project SQL .................................. SUCCESS [09:38 min]
[INFO] Spark Project Hive ................................. SUCCESS [06:20 min]
[INFO] Spark Project Docker Integration Tests ............. SUCCESS [02:17 min]
[INFO] Spark Project Unsafe ............................... SUCCESS [  3.147 s]
[INFO] Spark Project Assembly ............................. FAILURE [02:00 min]
[INFO] Spark Project External Twitter ..................... SKIPPED
[INFO] Spark Project External Flume ....................... SKIPPED
[INFO] Spark Project External Flume Sink .................. SKIPPED
[INFO] Spark Project External MQTT ........................ SKIPPED
[INFO] Spark Project External MQTT Assembly ............... SKIPPED
[INFO] Spark Project External ZeroMQ ...................... SKIPPED
[INFO] Spark Project Examples ............................. SKIPPED
[INFO] Spark Project REPL ................................. SKIPPED
[INFO] Spark Project Launcher ............................. SKIPPED
[INFO] Spark Project External Kafka ....................... SKIPPED
[INFO] Cloudera Spark Project Lineage ..................... SKIPPED
[INFO] Spark Project YARN ................................. SKIPPED
[INFO] Spark Project YARN Shuffle Service ................. SKIPPED
[INFO] Spark Project Hive Thrift Server ................... SKIPPED
[INFO] ------------------------------------------------------------------------
[INFO] BUILD FAILURE
[INFO] ------------------------------------------------------------------------
[INFO] Total time: 38:59 min
[INFO] Finished at: 2017-09-17T07:08:26+08:00
[INFO] Final Memory: 82M/880M
[INFO] ------------------------------------------------------------------------
[WARNING] The requested profile "hive-1.1.0" could not be activated because it does not exist.
[ERROR] Failed to execute goal on project spark-assembly_2.11: Could not resolve dependencies for project org.apache.spark:spark-assembly_2.11:jar:1.6.0-cdh5.12.0: Failed to collect dependencies at org.apache.spark:spark-hive-thriftserver_2.10:jar:1.6.0-cdh5.12.0: Failed to read artifact descriptor for org.apache.spark:spark-hive-thriftserver_2.10:jar:1.6.0-cdh5.12.0: Could not transfer artifact org.apache.spark:spark-hive-thriftserver_2.10:pom:1.6.0-cdh5.12.0 from/to CN (http://maven.oschina.net/content/groups/public/): Connect to maven.oschina.net:80 [maven.oschina.net/183.78.182.122] failed: Connection refused (Connection refused) -> [Help 1]
[ERROR]
[ERROR] To see the full stack trace of the errors, re-run Maven with the -e switch.
[ERROR] Re-run Maven using the -X switch to enable full debug logging.
[ERROR]
[ERROR] For more information about the errors and possible solutions, please read the following articles:
[ERROR] [Help 1] http://cwiki.apache.org/confluence/display/MAVEN/DependencyResolutionException
[ERROR]
[ERROR] After correcting the problems, you can resume the build with the command
[ERROR]   mvn <goals> -rf :spark-assembly_2.11

通过错误信息得知oschina无法下载spark-hive-thriftserver的pom文件，所以更换为【aliyun】的地址

<mirror>
　　<id>alimaven</id>
　　<name>aliyun maven</name>
    <url>http://maven.aliyun.com/nexus/content/groups/public/</url>
　　<mirrorOf>central</mirrorOf>
</mirror>

依然无法下载，继续更换地址【repo2】

<mirror>
    <id>repo2</id>
    <mirrorOf>central</mirrorOf>
    <name>Human Readable Name for this Mirror.</name>
    <url>http://repo2.maven.org/maven2/</url>
</mirror>

继续报错

[INFO] ------------------------------------------------------------------------
[INFO] Reactor Summary:
[INFO]
[INFO] Spark Project Parent POM ........................... SUCCESS [  8.238 s]
[INFO] Spark Project Test Tags ............................ SUCCESS [  2.852 s]
[INFO] Spark Project Core ................................. SUCCESS [ 37.382 s]
[INFO] Spark Project Bagel ................................ SUCCESS [  3.085 s]
[INFO] Spark Project GraphX ............................... SUCCESS [  5.634 s]
[INFO] Spark Project ML Library ........................... SUCCESS [ 14.805 s]
[INFO] Spark Project Tools ................................ SUCCESS [  1.538 s]
[INFO] Spark Project Networking ........................... SUCCESS [  2.839 s]
[INFO] Spark Project Shuffle Streaming Service ............ SUCCESS [  0.901 s]
[INFO] Spark Project Streaming ............................ SUCCESS [ 11.593 s]
[INFO] Spark Project Catalyst ............................. SUCCESS [ 14.390 s]
[INFO] Spark Project SQL .................................. SUCCESS [ 20.328 s]
[INFO] Spark Project Hive ................................. SUCCESS [ 23.584 s]
[INFO] Spark Project Docker Integration Tests ............. SUCCESS [  4.114 s]
[INFO] Spark Project Unsafe ............................... SUCCESS [  0.986 s]
[INFO] Spark Project Assembly ............................. FAILURE [ 39.408 s]
[INFO] Spark Project External Twitter ..................... SKIPPED
[INFO] Spark Project External Flume ....................... SKIPPED
[INFO] Spark Project External Flume Sink .................. SKIPPED
[INFO] Spark Project External MQTT ........................ SKIPPED
[INFO] Spark Project External MQTT Assembly ............... SKIPPED
[INFO] Spark Project External ZeroMQ ...................... SKIPPED
[INFO] Spark Project Examples ............................. SKIPPED
[INFO] Spark Project REPL ................................. SKIPPED
[INFO] Spark Project Launcher ............................. SKIPPED
[INFO] Spark Project External Kafka ....................... SKIPPED
[INFO] Cloudera Spark Project Lineage ..................... SKIPPED
[INFO] Spark Project YARN ................................. SKIPPED
[INFO] Spark Project YARN Shuffle Service ................. SKIPPED
[INFO] Spark Project Hive Thrift Server ................... SKIPPED
[INFO] ------------------------------------------------------------------------
[INFO] BUILD FAILURE
[INFO] ------------------------------------------------------------------------
[INFO] Total time: 03:13 min
[INFO] Finished at: 2017-09-17T08:01:29+08:00
[INFO] Final Memory: 82M/971M
[INFO] ------------------------------------------------------------------------
[WARNING] The requested profile "hive-1.1.0" could not be activated because it does not exist.
[ERROR] Failed to execute goal on project spark-assembly_2.11: Could not resolve dependencies for project org.apache.spark:spark-assembly_2.11:jar:1.6.0-cdh5.12.0: Could not find artifact org.apache.spark:spark-hive-thriftserver_2.10:jar:1.6.0-cdh5.12.0 in cdh.repo (https://repository.cloudera.com/artifactory/cloudera-repos) -> [Help 1]
[ERROR]
[ERROR] To see the full stack trace of the errors, re-run Maven with the -e switch.
[ERROR] Re-run Maven using the -X switch to enable full debug logging.
[ERROR]
[ERROR] For more information about the errors and possible solutions, please read the following articles:
[ERROR] [Help 1] http://cwiki.apache.org/confluence/display/MAVEN/DependencyResolutionException
[ERROR]
[ERROR] After correcting the problems, you can resume the build with the command
[ERROR]   mvn <goals> -rf :spark-assembly_2.11

说明repo2的仓库没有spark-hive-thriftserver_2.10.jar

尝试其他地址后要么是连接拒绝，要么是无法解决依赖

（2）使用make-distribution.sh方式编译

直接运行后报出错误

JAVA_HOME is not set

在make-distribution.sh文件中增加配置

export JAVA_HOME=/usr/local/jdk1.8.0_144

然后开始执行

./make-distribution.sh --tgz \
-Phadoop-2.6 -Dhadoop.version=2.6.0-cdh5.12.0 \
-Pyarn \
-Phive-1.1.0 -Phive-thriftserver

经过各种mvn镜像库之后还是失败，而且执行时间特别长，第一次用了一晚上，第二次用了一天，所以决定放弃，最后一次错误信息

[INFO] ------------------------------------------------------------------------
[INFO] Reactor Summary:
[INFO]
[INFO] Spark Project Parent POM ........................... SUCCESS [  9.254 s]
[INFO] Spark Project Test Tags ............................ SUCCESS [ 23.704 s]
[INFO] Spark Project Core ................................. SUCCESS [41:06 min]
[INFO] Spark Project Bagel ................................ SUCCESS [05:15 min]
[INFO] Spark Project GraphX ............................... SUCCESS [35:37 min]
[INFO] Spark Project ML Library ........................... SUCCESS [  01:44 h]
[INFO] Spark Project Tools ................................ SUCCESS [17:16 min]
[INFO] Spark Project Networking ........................... SUCCESS [18:23 min]
[INFO] Spark Project Shuffle Streaming Service ............ SUCCESS [04:41 min]
[INFO] Spark Project Streaming ............................ SUCCESS [  02:18 h]
[INFO] Spark Project Catalyst ............................. SUCCESS [  02:57 h]
[INFO] Spark Project SQL .................................. SUCCESS [  02:30 h]
[INFO] Spark Project Hive ................................. SUCCESS [  02:14 h]
[INFO] Spark Project Docker Integration Tests ............. SUCCESS [46:29 min]
[INFO] Spark Project Unsafe ............................... SUCCESS [07:48 min]
[INFO] Spark Project Assembly ............................. FAILURE [01:26 min]
[INFO] Spark Project External Twitter ..................... SKIPPED
[INFO] Spark Project External Flume ....................... SKIPPED
[INFO] Spark Project External Flume Sink .................. SKIPPED
[INFO] Spark Project External MQTT ........................ SKIPPED
[INFO] Spark Project External MQTT Assembly ............... SKIPPED
[INFO] Spark Project External ZeroMQ ...................... SKIPPED
[INFO] Spark Project Examples ............................. SKIPPED
[INFO] Spark Project REPL ................................. SKIPPED
[INFO] Spark Project Launcher ............................. SKIPPED
[INFO] Spark Project External Kafka ....................... SKIPPED
[INFO] Cloudera Spark Project Lineage ..................... SKIPPED
[INFO] Spark Project YARN ................................. SKIPPED
[INFO] Spark Project YARN Shuffle Service ................. SKIPPED
[INFO] Spark Project Hive Thrift Server ................... SKIPPED
[INFO] ------------------------------------------------------------------------
[INFO] BUILD FAILURE
[INFO] ------------------------------------------------------------------------
[INFO] Total time: 14:44 h
[INFO] Finished at: 2017-09-18T16:43:22+08:00
[INFO] Final Memory: 76M/959M
[INFO] ------------------------------------------------------------------------
[WARNING] The requested profile "hive-1.1.0" could not be activated because it does not exist.
[ERROR] Failed to execute goal on project spark-assembly_2.11: Could not resolve dependencies for project org.apache.spark:spark-assembly_2.11:jar:1.6.0-cdh5.12.0: Failed to collect dependencies at org.apache.spark:spark-hive-thriftserver_2.10:jar:1.6.0-cdh5.12.0: Failed to read artifact descriptor for org.apache.spark:spark-hive-thriftserver_2.10:jar:1.6.0-cdh5.12.0: Could not transfer artifact org.apache.spark:spark-hive-thriftserver_2.10:pom:1.6.0-cdh5.12.0 from/to twttr-repo (http://maven.twttr.com): Connect to maven.twttr.com:80 [maven.twttr.com/199.59.149.208] failed: Connection refused (Connection refused) -> [Help 1]
[ERROR]
[ERROR] To see the full stack trace of the errors, re-run Maven with the -e switch.
[ERROR] Re-run Maven using the -X switch to enable full debug logging.
[ERROR]
[ERROR] For more information about the errors and possible solutions, please read the following articles:
[ERROR] [Help 1] http://cwiki.apache.org/confluence/display/MAVEN/DependencyResolutionException
[ERROR]
[ERROR] After correcting the problems, you can resume the build with the command
[ERROR]   mvn <goals> -rf :spark-assembly_2.11

【源码编译】spark源码编译的更多相关文章

编译spark源码及塔建源码阅读环境
编译spark源码及塔建源码阅读环境 (一),编译spark源码 1,更换maven的下载镜像: <mirrors>  <mirror> ...
Spark 学习(三) maven 编译spark 源码
spark 源码编译 scala 版本2.11.4 os:ubuntu 14.04 64位 memery 3G spark :1.1.0 下载源码后解压 1 准备环境,安装jdk和scala,具体参考 ...
Spark笔记--使用Maven编译Spark源码(windows)
1. 官网下载源码 source code,地址: http://spark.apache.org/downloads.html 2. 使用maven编译: 注意在编译之前,需要设置java堆大小以及 ...
编译Spark源码
Spark编译有两种处理方式,第一种是通过SBT,第二种是通过Maven.作过Java工作的一般对于Maven工具会比较熟悉,这边也是选用Maven的方式来处理Spark源码编译工作. 在开始编译工作 ...
Windows使用Idea编译spark源码
1. 环境准备 JDK1.8 Scala2.11.8 Maven 3.3+ IDEA with scala plugin 2. 下载spark源码下载地址 https://archive.apach ...
window环境下使用sbt编译spark源码
前些天用maven编译打包spark,搞得焦头烂额的,各种错误,层出不穷,想想也是醉了,于是乎,换种方式,使用sbt编译,看看人品如何! 首先,从官网spark官网下载spark源码包,解压出来.我这 ...
Windows环境编译Spark源码
一.下载源码包 1. 下载地址有官网和github: http://spark.apache.org/downloads.html https://github.com/apache/spark Li ...
Spark—编译Spark源码
Spark版本:Spark-2.1.0 Hadoop版本:hadooop-2.6.0-cdh5.7.0 官方文档:http://spark.apache.org/docs/latest/buildin ...
编译spark源码 Maven 、SBT 2种方式编译
由于实际环境较为复杂,从Spark官方下载二进制安装包可能不具有相关功能或不支持指定的软件版本,这就需要我们根据实际情况编译Spark源代码,生成所需要的部署包. Spark可以通过Maven和SBT ...
Spark源码编译并在YARN上运行WordCount实例
在学习一门新语言时,想必我们都是"Hello World"程序开始,类似地,分布式计算框架的一个典型实例就是WordCount程序,接触过Hadoop的人肯定都知道用MapRedu ...

随机推荐

less语言特性（二） —— 混合
在 LESS 中我们可以定义一些通用的属性集为一个 class,然后在另一个 class 中去调用这些属性,下面有这样一个 class: 1 2 3 4 .bordered { border-top: ...
【Python】web.py-简单轻量级网页框架python
简单轻量级网页框架python web.py的安装 python 3.x中安装web.py 最近决定从python2.7转移到3.x上工作. 使用数据库的时候,依然选用了之前比较感兴趣的web.py ...
【Pyton】【小甲鱼】爬虫
一.什么是爬虫? 可以理解为一只蜘蛛,在不同的网页上爬来爬去,获取我们需要的资源二.Python如何访问互联网 urllib(一个包)=url(网页地址)+lib() 第一部分:protocol:/ ...
关于获取多个id的用法
一.子页面中的写法 <!DOCTYPE HTML><html><head><meta http-equiv="Content-Type" ...
python对象反射和函数反射
python的对象反射功能,经常在编程时使用.相比较其它的编程语言使用非常方便.反射就是用字符串来操作对象或者类,模块中的成员. 一.对象的反射反射功能的实现,由这4个内置函数来实现(hasattr ...
Period(sdut2476)
[题目大意]:给定一个字符串,求到哪一位时的字串是前几位循环组成的,并求出循环次数. 思路:求每个前缀的最小循环周:从i到n枚举len,如果len%(len-next[len])==0,则这个前缀是由 ...
POJ2488:A Knight's Journey(dfs)
http://poj.org/problem?id=2488 Description Background The knight is getting bored of seeing the same ...
cmd重启服务器，有时不想去机房，并且远程桌面连接登录不上了
有时不想去机房,并且远程桌面连接登录不上了,需要远程重启服务器的,这时可以使用命令行方式远程重启.在cmd命令行状态下输入:shutdown -r -m \\192.168.1.10 -t 0 -f ...
NC_Verilog中的工具ICC
Cadence中的Incisive Comprehensive Coverage(ICC) solusion提供在仿真中的覆盖率分析. ICC中的覆盖率类型有两大类: 1)Code Coverage: ...
django登录功能（简单在POST请求）
第一先在templates中创立index.html !DOCTYPE html> <head> <meta charset="UTF-8"> & ...

【源码编译】spark源码编译

【源码编译】spark源码编译的更多相关文章

随机推荐

热门专题