发现一个不错的技术博客，分享一下

有时间多学习
多线程基础 & 进阶
系统架构

JWT简介

JWT(json web token)是为了在网络应用环境间传递声明而执行的一种基于JSON的开放标准。

JWT的声明一般被用来在身份提供者和服务提供者间传递被认证的用户身份信息，以便于从资源服务器获取资源。比如用在用户登录上。

JWT生成的token

欲加密的字符：hisen
加密后的字符：(分三段)

1

eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJwYXlsb2FkIjoiXCJoaXNlblwiIiwiZXhwIjoxNTAyOTY0Mjk2fQ.gzg4JEm8Z-GoU9eNaNll9I1wQQ0cEAbZC9OBUjAAQqI

JWT的构成

命令行常用操作，备忘

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#开启远程登录
grant all privileges on *.* to 'user'@'%' identified by 'passwd' with grant option;
#创建数据库
create database DB;
#创建用户
insert into mysql.user(Host,User,Password) values("localhost","user",password("passwd"));
#删除用户
DELETE FROM user WHERE user="username" and HOST="localhost";
#修改指定用户密码
update mysql.user set password=password('new passwd') where user="username" and host="localhost";
#用户授权
grant all privileges on DB.* to 'user'@'localhost' identified by 'passwd';
grant select,update on DB.* to 'user'@'localhost' identified by 'passwd';
#刷新权限
flush privileges;
#数据库导出
mysqldump -uUSRENAME -pPASSWD DATABASE > DATABASE.sql
#数据库导出(只导出表结构 -d)
mysqldump -uUSRENAME -pPASSWD -d DATABASE > DATABASE.sql
#数据库导入
#1.切换数据库
use DATABASE;
#2.设置编码
set names utf8;
#3.执行导入操作
source /home/abc/abc.sql;
#直接导入
mysql -uUSERNAME -p DATABASE < DATABASE.sql

apt-get应该debian内核系列的系统都能用：

比如：debian、ubuntu、deepin等

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apt-cache search package    #搜索包（相当于yum list | grep pkg）
apt-cache show package      #显示包的相关信息，如说明、大小、版本等
apt-cache showpg package    #显示包的相关信息，如Reverse Depends（反向依赖）、依赖等
apt-get install package       #安装包
apt-get reinstall package     #重新安装包
apt-get -f install package    #强制安装
apt-get remove package        #删除包（只是删掉数据和可执行文件，不删除配置文件）
apt-get remove --purge package       #删除包，包括删除配置文件等
apt-get autoremove --purge package   #删除包及其依赖的软件包+配置文件等
apt-get update          #更新源
apt-get upgrade         #更新已安装的包
apt-get dist-upgrade    #升级系统
apt-get dselect-upgrade        #使用 dselect 升级
apt-cache depends package      #了解使用依赖
apt-cache rdepends package     #查看该包被哪些包依赖
apt-get build-dep package   #安装相关的编译环境
apt-get source package      #下载该包的源代码
apt-get clean && apt-get autoclean  #清理下载文件的存档 && 只清理过时的包
apt-get check             #检查是否有损坏的依赖
dpkg -S filename          #查找filename属于哪个软件包
apt-file search filename  #查找filename属于哪个软件包
apt-file list packagename #列出软件包的内容
apt-file update           #更新apt-file的数据库
dpkg -l      #列出当前系统中所有的包.可以和参数less一起使用在分屏查看（类似于rpm -qa）
dpkg -l |grep -i "pkg"   #查看系统中与"pkg"相关联的包（类似于rpm -qa | grep pkg）
dpkg -s pkg  #查询一个已安装的包的详细信息（类似于rpm -qi）
dpkg -L pkg  #查询一个已安装的软件包释放了哪些文件（类似于rpm -ql）
dpkg -S file     #查询系统中某个文件属于哪个软件包（类似于rpm -qf）
dpkg -c pkg.deb  #查询一个未安装的deb包将会释放哪些文件（类似于rpm -qpl）
dpkg -I pkg.deb  #查看一个未安装的deb包的详细信息（类似于rpm -qpi）
dpkg -i pkg.deb  #手动安装软件包（不能解决软依赖性问题，可以用apt-get -f install解决）
dpkg -r pkg      #卸载软件包（不是完全的卸载，它的配置文件还存在）
dpkg -P pkg      #全部卸载（不能解决依赖性的问题）
dpkg-reconfigure pkg     #重新配置
dpkg -x pkg.deb dir      #将一个deb包解开至dir目录
dpkg --pending --remove  #移除多余的软件
# 强制安装一个包(忽略依赖及其它问题)
dpkg --force-all -i pkg.deb    #可以参考dpkg --force-help
# 强制卸载一个包
dpkg --force-all -P pkg.deb
aptitude update   #更新可用的包列表
aptitude upgrade  #升级可用的包
aptitude dist-upgrade     #将系统升级到新的发行版
aptitude install pkgname  #安装包
aptitude remove pkgname   #删除包
aptitude purge pkgname    #删除包及其配置文件
aptitude search string    #搜索包（相当于yum list | grep pkg，重要）
aptitude show pkgname     #显示包的详细信息 （相当于yum info pkg，重要）
aptitude clean            #删除下载的包文件
aptitude autoclean        #仅删除过期的包文件
apt-get install xrdp      #安装图形化

计算机程序的思维逻辑

这个系列的文章还不错

目录—微信公众号

目录—掘金(1-6缺失)

相关笔记或者代码

相关笔记或者代码 - github地址

说明

版权归原作者所有

感觉文章不错，一边看一边实践。

有时候从头开始学习也会有另一番风味。

兴趣是最好的老师，唯有坚持才是实现梦想的唯一途径。

我只是收集一下题目，检查一下自己。

京东平台产品研发部 - Java

背景：一年工作经验，做电子政务

1. 一个数组 i[] = [-1000 ~ 1000] 中的任意一些数字，求乘积最大的三个数。
2. static都能用在哪里？
3. 1M 等于多少个1
4. 面向对象的特性
5. 写出两种单例模式
6. HashMap有哪些方法
7. HashMap的底层实现
8. List和Set的区别
9. 重载和重写的区别，多态如何体现
10. 判断字符串是否含有此Url：www.jd.com

11. 1 2 3 4 5 6 7 8 9

    Long l1 = new Long(1024L); Long l2 = new Long(1024L); System.out.println(l1 == l2);//false Integer i1 = 100; Integer i2 = 100; System.out.println(i1 == i2);//true i1 = 100; i2 = 100; System.out.println(i1 == i2);//true

12. Spring自定义注解、拦截器相关

13. 为什么使用注解、有什么好处
14. Spring中运用了哪些设计模式
15. Sping和SpringBoot各有什么优缺点
16. Spring的事物隔离机制
17. 说说AOP、DI、IOC
18. redis等用过没
19. 缓存和memorycache
20. http://www.jd.com/...username=… 为了防止sql注入，怎么写正则。
21. mybatis如何防止sql注入
22. mybatis使用变量时怎么表示
23. 使用js遍历json数据
24. 使用Map遍历json数据
25. elasticsearch相关
26. 你曾经在社区接触过的技术有哪些
27. 项目相关：做了哪些部分、职责、用到哪些技术、设计了哪些
28. 介绍一下RPC调用

谷歌淘来的一个总结

面试题总结 —— JAVA高级工程师

部分答案

markdown语法

分割线

1. 列表1
2. 列表2
3. 列表3

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//插入代码
public void main(String[] args){
    System.out.println("Hello World!");
}

一级标题

二级标题

三级标题

四级标题

五级标题

六级标题

删除线

引用，只能写在一行

• [ ] 未勾选
• [x] 勾选的

梦殇国际

markdown源码

在本地利用idea，java开发spark程序

原来并不用安装spark什么的这些东西

这样就不会那么繁琐，门槛也低了点

具体过程如下

一、创建工程

1. idea -> new Project -> maven -> create from archetype -> maven-archetype-quickstart

2. pom.xml添加依赖

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   <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-core_2.11</artifactId> <version>2.0.1</version> </dependency>

3. 编写java代码

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   package com.hisen.spark; import org.apache.spark.SparkConf; import org.apache.spark.api.java.JavaRDD; import org.apache.spark.api.java.JavaSparkContext; import org.apache.spark.api.java.function.Function; /** * 第一个spark程序 * Created by hisenyuan on 2017/8/2 at 16:36. */ public class SimpleApp { public static void main(String[] args) { // Should be some file on your system String logFile = "D:\\logs\\boss_debug.log"; //设置本地运行，设置名称（在spark web ui上显示） SparkConf sparkConf = new SparkConf().setMaster("local").setAppName("Simple Application"); JavaSparkContext javaSparkContext = new JavaSparkContext(sparkConf); JavaRDD<String> logData = javaSparkContext.textFile(logFile).cache(); //统计包含a的次数 long countA = logData.filter(new Function<String, Boolean>() { public Boolean call(String s) throws Exception { return s.contains("a"); } }).count(); //统计包含b的次数 long countB = logData.filter(new Function<String, Boolean>() { public Boolean call(String s) throws Exception { return s.contains("b"); } }).count(); System.out.printf("Lines with a: %d, lines with b: %d\n", countA, countB); //Lines with a: 11146, lines with b: 10760 } }

4. 运行main方法：结果：Lines with a: 11146, lines with b: 10760

5. 日志如下：

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   C:\hisenwork\soft\jdk8\bin\java -Dspark.master=local "-javaagent:C:\hisenwork\IntelliJ IDEA 2017.1.1\lib\idea_rt.jar=59366:C:\hisenwork\IntelliJ IDEA 2017.1.1\bin" -Dfile.encoding=UTF-8 -classpath C:\hisenwork\soft\jdk8\jre\lib\charsets.jar;C:\hisenwork\soft\jdk8\jre\lib\deploy.jar;C:\hisenwork\soft\jdk8\jre\lib\ext\access-bridge-64.jar;C:\hisenwork\soft\jdk8\jre\lib\ext\cldrdata.jar;C:\hisenwork\soft\jdk8\jre\lib\ext\dnsns.jar;C:\hisenwork\soft\jdk8\jre\lib\ext\jaccess.jar;C:\hisenwork\soft\jdk8\jre\lib\ext\jfxrt.jar;C:\hisenwork\soft\jdk8\jre\lib\ext\localedata.jar;C:\hisenwork\soft\jdk8\jre\lib\ext\nashorn.jar;C:\hisenwork\soft\jdk8\jre\lib\ext\sunec.jar;C:\hisenwork\soft\jdk8\jre\lib\ext\sunjce_provider.jar;C:\hisenwork\soft\jdk8\jre\lib\ext\sunmscapi.jar;C:\hisenwork\soft\jdk8\jre\lib\ext\sunpkcs11.jar;C:\hisenwork\soft\jdk8\jre\lib\ext\zipfs.jar;C:\hisenwork\soft\jdk8\jre\lib\javaws.jar;C:\hisenwork\soft\jdk8\jre\lib\jce.jar;C:\hisenwork\soft\jdk8\jre\lib\jfr.jar;C:\hisenwork\soft\jdk8\jre\lib\jfxswt.jar;C:\hisenwork\soft\jdk8\jre\lib\jsse.jar;C:\hisenwork\soft\jdk8\jre\lib\management-agent.jar;C:\hisenwork\soft\jdk8\jre\lib\plugin.jar;C:\hisenwork\soft\jdk8\jre\lib\resources.jar;C:\hisenwork\soft\jdk8\jre\lib\rt.jar;C:\hisenwork\code\rmitec\SparkTest\target\classes;C:\hisenwork\soft\maven\org\apache\spark\spark-core_2.11\2.0.1\spark-core_2.11-2.0.1.jar;C:\hisenwork\soft\maven\org\apache\avro\avro-mapred\1.7.7\avro-mapred-1.7.7-hadoop2.jar;C:\hisenwork\soft\maven\org\apache\avro\avro-ipc\1.7.7\avro-ipc-1.7.7.jar;C:\hisenwork\soft\maven\org\apache\avro\avro\1.7.7\avro-1.7.7.jar;C:\hisenwork\soft\maven\org\apache\avro\avro-ipc\1.7.7\avro-ipc-1.7.7-tests.jar;C:\hisenwork\soft\maven\org\codehaus\jackson\jackson-core-asl\1.9.13\jackson-core-asl-1.9.13.jar;C:\hisenwork\soft\maven\org\codehaus\jackson\jackson-mapper-asl\1.9.13\jackson-mapper-asl-1.9.13.jar;C:\hisenwork\soft\maven\com\twitter\chill_2.11\0.8.0\chill_2.11-0.8.0.jar;C:\hisenwork\soft\maven\com\esotericsoftware\kryo-shaded\3.0.3\kryo-shaded-3.0.3.jar;C:\hisenwork\soft\maven\com\esotericsoftware\minlog\1.3.0\minlog-1.3.0.jar;C:\hisenwork\soft\maven\org\objenesis\objenesis\2.1\objenesis-2.1.jar;C:\hisenwork\soft\maven\com\twitter\chill-java\0.8.0\chill-java-0.8.0.jar;C:\hisenwork\soft\maven\org\apache\xbean\xbean-asm5-shaded\4.4\xbean-asm5-shaded-4.4.jar;C:\hisenwork\soft\maven\org\apache\hadoop\hadoop-client\2.2.0\hadoop-client-2.2.0.jar;C:\hisenwork\soft\maven\org\apache\hadoop\hadoop-common\2.2.0\hadoop-common-2.2.0.jar;C:\hisenwork\soft\maven\commons-cli\commons-cli\1.2\commons-cli-1.2.jar;C:\hisenwork\soft\maven\org\apache\commons\commons-math\2.1\commons-math-2.1.jar;C:\hisenwork\soft\maven\xmlenc\xmlenc\0.52\xmlenc-0.52.jar;C:\hisenwork\soft\maven\commons-io\commons-io\2.1\commons-io-2.1.jar;C:\hisenwork\soft\maven\commons-lang\commons-lang\2.5\commons-lang-2.5.jar;C:\hisenwork\soft\maven\commons-configuration\commons-configuration\1.6\commons-configuration-1.6.jar;C:\hisenwork\soft\maven\commons-collections\commons-collections\3.2.1\commons-collections-3.2.1.jar;C:\hisenwork\soft\maven\commons-digester\commons-digester\1.8\commons-digester-1.8.jar;C:\hisenwork\soft\maven\commons-beanutils\commons-beanutils\1.7.0\commons-beanutils-1.7.0.jar;C:\hisenwork\soft\maven\commons-beanutils\commons-beanutils-core\1.8.0\commons-beanutils-core-1.8.0.jar;C:\hisenwork\soft\maven\com\google\protobuf\protobuf-java\2.5.0\protobuf-java-2.5.0.jar;C:\hisenwork\soft\maven\org\apache\hadoop\hadoop-auth\2.2.0\hadoop-auth-2.2.0.jar;C:\hisenwork\soft\maven\org\apache\commons\commons-compress\1.4.1\commons-compress-1.4.1.jar;C:\hisenwork\soft\maven\org\tukaani\xz\1.0\xz-1.0.jar;C:\hisenwork\soft\maven\org\apache\hadoop\hadoop-hdfs\2.2.0\hadoop-hdfs-2.2.0.jar;C:\hisenwork\soft\maven\org\mortbay\jetty\jetty-util\6.1.26\jetty-util-6.1.26.jar;C:\hisenwork\soft\maven\org\apache\hadoop\hadoop-mapreduce-client-app\2.2.0\hadoop-mapreduce-client-app-2.2.0.jar;C:\hisenwork\soft\maven\org\apache\hadoop\hadoop-mapreduce-client-common\2.2.0\hadoop-mapreduce-client-common-2.2.0.jar;C:\hisenwork\soft\maven\org\apache\hadoop\hadoop-yarn-client\2.2.0\hadoop-yarn-client-2.2.0.jar;C:\hisenwork\soft\maven\com\google\inject\guice\3.0\guice-3.0.jar;C:\hisenwork\soft\maven\javax\inject\javax.inject\1\javax.inject-1.jar;C:\hisenwork\soft\maven\aopalliance\aopalliance\1.0\aopalliance-1.0.jar;C:\hisenwork\soft\maven\org\apache\hadoop\hadoop-yarn-server-common\2.2.0\hadoop-yarn-server-common-2.2.0.jar;C:\hisenwork\soft\maven\org\apache\hadoop\hadoop-mapreduce-client-shuffle\2.2.0\hadoop-mapreduce-client-shuffle-2.2.0.jar;C:\hisenwork\soft\maven\org\apache\hadoop\hadoop-yarn-api\2.2.0\hadoop-yarn-api-2.2.0.jar;C:\hisenwork\soft\maven\org\apache\hadoop\hadoop-mapreduce-client-core\2.2.0\hadoop-mapreduce-client-core-2.2.0.jar;C:\hisenwork\soft\maven\org\apache\hadoop\hadoop-yarn-common\2.2.0\hadoop-yarn-common-2.2.0.jar;C:\hisenwork\soft\maven\org\apache\hadoop\hadoop-mapreduce-client-jobclient\2.2.0\hadoop-mapreduce-client-jobclient-2.2.0.jar;C:\hisenwork\soft\maven\org\apache\hadoop\hadoop-annotations\2.2.0\hadoop-annotations-2.2.0.jar;C:\hisenwork\soft\maven\org\apache\spark\spark-laun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\soft\maven\com\clearspring\analytics\stream\2.7.0\stream-2.7.0.jar;C:\hisenwork\soft\maven\io\dropwizard\metrics\metrics-core\3.1.2\metrics-core-3.1.2.jar;C:\hisenwork\soft\maven\io\dropwizard\metrics\metrics-jvm\3.1.2\metrics-jvm-3.1.2.jar;C:\hisenwork\soft\maven\io\dropwizard\metrics\metrics-json\3.1.2\metrics-json-3.1.2.jar;C:\hisenwork\soft\maven\io\dropwizard\metrics\metrics-graphite\3.1.2\metrics-graphite-3.1.2.jar;C:\hisenwork\soft\maven\com\fasterxml\jackson\core\jackson-databind\2.6.5\jackson-databind-2.6.5.jar;C:\hisenwork\soft\maven\com\fasterxml\jackson\core\jackson-core\2.6.5\jackson-core-2.6.5.jar;C:\hisenwork\soft\maven\com\fasterxml\jackson\module\jackson-module-scala_2.11\2.6.5\jackson-module-scala_2.11-2.6.5.jar;C:\hisenwork\soft\maven\org\scala-lang\scala-reflect\2.11.7\scala-reflect-2.11.7.jar;C:\hisenwork\soft\maven\com\fasterxml\jackson\module\jackson-module-paranamer\2.6.5\jackson-module-paranamer-2.6.5.jar;C:\hisenwork\soft\maven\org\apache\ivy\ivy\2.4.0\ivy-2.4.0.jar;C:\hisenwork\soft\maven\oro\oro\2.0.8\oro-2.0.8.jar;C:\hisenwork\soft\maven\net\razorvine\pyrolite\4.9\pyrolite-4.9.jar;C:\hisenwork\soft\maven\net\sf\py4j\py4j\0.10.3\py4j-0.10.3.jar;C:\hisenwork\soft\maven\org\apache\spark\spark-tags_2.11\2.0.1\spark-tags_2.11-2.0.1.jar;C:\hisenwork\soft\maven\org\scalatest\scalatest_2.11\2.2.6\scalatest_2.11-2.2.6.jar;C:\hisenwork\soft\maven\org\scala-lang\modules\scala-xml_2.11\1.0.2\scala-xml_2.11-1.0.2.jar;C:\hisenwork\soft\maven\org\spark-project\spark\unused\1.0.0\unused-1.0.0.jar com.hisen.spark.SimpleApp Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties 17/08/02 17:00:09 INFO SparkContext: Running Spark version 2.0.1 17/08/02 17:00:10 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable 17/08/02 17:00:10 INFO SecurityManager: Changing view acls to: Administrator 17/08/02 17:00:10 INFO SecurityManager: Changing modify acls to: Administrator 17/08/02 17:00:10 INFO SecurityManager: Changing view acls groups to: 17/08/02 17:00:10 INFO SecurityManager: Changing modify acls groups to: 17/08/02 17:00:10 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(Administrator); groups with view permissions: Set(); users with modify permissions: Set(Administrator); groups with modify permissions: Set() 17/08/02 17:00:11 INFO Utils: Successfully started service 'sparkDriver' on port 59388. 17/08/02 17:00:11 INFO SparkEnv: Registering MapOutputTracker 17/08/02 17:00:11 INFO SparkEnv: Registering BlockManagerMaster 17/08/02 17:00:11 INFO DiskBlockManager: Created local directory at C:\Users\Administrator\AppData\Local\Temp\blockmgr-630d8294-e5cb-428d-8189-4c3313e46fa3 17/08/02 17:00:12 INFO MemoryStore: MemoryStore started with capacity 894.3 MB 17/08/02 17:00:12 INFO SparkEnv: Registering OutputCommitCoordinator 17/08/02 17:00:12 INFO Utils: Successfully started service 'SparkUI' on port 4040. 17/08/02 17:00:12 INFO SparkUI: Bound SparkUI to 0.0.0.0, and started at http://169.254.90.236:4040 17/08/02 17:00:12 INFO Executor: Starting executor ID driver on host localhost 17/08/02 17:00:12 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 59397. 17/08/02 17:00:12 INFO NettyBlockTransferService: Server created on 169.254.90.236:59397 17/08/02 17:00:12 INFO BlockManagerMaster: Registering BlockManager BlockManagerId(driver, 169.254.90.236, 59397) 17/08/02 17:00:12 INFO BlockManagerMasterEndpoint: Registering block manager 169.254.90.236:59397 with 894.3 MB RAM, BlockManagerId(driver, 169.254.90.236, 59397) 17/08/02 17:00:12 INFO BlockManagerMaster: Registered BlockManager BlockManagerId(driver, 169.254.90.236, 59397) 17/08/02 17:00:14 INFO MemoryStore: Block broadcast_0 stored as values in memory (estimated size 127.1 KB, free 894.2 MB) 17/08/02 17:00:14 INFO MemoryStore: Block broadcast_0_piece0 stored as bytes in memory (estimated size 14.3 KB, free 894.2 MB) 17/08/02 17:00:14 INFO BlockManagerInfo: Added broadcast_0_piece0 in memory on 169.254.90.236:59397 (size: 14.3 KB, free: 894.3 MB) 17/08/02 17:00:14 INFO SparkContext: Created broadcast 0 from textFile at SimpleApp.java:19 17/08/02 17:00:14 ERROR Shell: Failed to locate the winutils binary in the hadoop binary path java.io.IOException: Could not locate executable null\bin\winutils.exe in the Hadoop binaries. at org.apache.hadoop.util.Shell.getQualifiedBinPath(Shell.java:278) at org.apache.hadoop.util.Shell.getWinUtilsPath(Shell.java:300) at org.apache.hadoop.util.Shell.<clinit>(Shell.java:293) at org.apache.hadoop.util.StringUtils.<clinit>(StringUtils.java:76) at org.apache.hadoop.mapred.FileInputFormat.setInputPaths(FileInputFormat.java:362) at org.apache.spark.SparkContext$$anonfun$hadoopFile$1$$anonfun$29.apply(SparkContext.scala:992) at org.apache.spark.SparkContext$$anonfun$hadoopFile$1$$anonfun$29.apply(SparkContext.scala:992) at org.apache.spark.rdd.HadoopRDD$$anonfun$getJobConf$6.apply(HadoopRDD.scala:176) at org.apache.spark.rdd.HadoopRDD$$anonfun$getJobConf$6.apply(HadoopRDD.scala:176) at scala.Option.map(Option.scala:146) at org.apache.spark.rdd.HadoopRDD.getJobConf(HadoopRDD.scala:176) at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:195) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:248) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:246) at scala.Option.getOrElse(Option.scala:121) at org.apache.spark.rdd.RDD.partitions(RDD.scala:246) at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:248) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:246) at scala.Option.getOrElse(Option.scala:121) at org.apache.spark.rdd.RDD.partitions(RDD.scala:246) at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:248) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:246) at scala.Option.getOrElse(Option.scala:121) at org.apache.spark.rdd.RDD.partitions(RDD.scala:246) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1930) at org.apache.spark.rdd.RDD.count(RDD.scala:1134) at org.apache.spark.api.java.JavaRDDLike$class.count(JavaRDDLike.scala:454) at org.apache.spark.api.java.AbstractJavaRDDLike.count(JavaRDDLike.scala:45) at com.hisen.spark.SimpleApp.main(SimpleApp.java:26) 17/08/02 17:00:14 INFO FileInputFormat: Total input paths to process : 1 17/08/02 17:00:14 INFO SparkContext: Starting job: count at SimpleApp.java:26 17/08/02 17:00:15 INFO DAGScheduler: Got job 0 (count at SimpleApp.java:26) with 1 output partitions 17/08/02 17:00:15 INFO DAGScheduler: Final stage: ResultStage 0 (count at SimpleApp.java:26) 17/08/02 17:00:15 INFO DAGScheduler: Parents of final stage: List() 17/08/02 17:00:15 INFO DAGScheduler: Missing parents: List() 17/08/02 17:00:15 INFO DAGScheduler: Submitting ResultStage 0 (MapPartitionsRDD[2] at filter at SimpleApp.java:22), which has no missing parents 17/08/02 17:00:15 INFO MemoryStore: Block broadcast_1 stored as values in memory (estimated size 3.2 KB, free 894.2 MB) 17/08/02 17:00:15 INFO MemoryStore: Block broadcast_1_piece0 stored as bytes in memory (estimated size 1966.0 B, free 894.2 MB) 17/08/02 17:00:15 INFO BlockManagerInfo: Added broadcast_1_piece0 in memory on 169.254.90.236:59397 (size: 1966.0 B, free: 894.3 MB) 17/08/02 17:00:15 INFO SparkContext: Created broadcast 1 from broadcast at DAGScheduler.scala:1012 17/08/02 17:00:15 INFO DAGScheduler: Submitting 1 missing tasks from ResultStage 0 (MapPartitionsRDD[2] at filter at SimpleApp.java:22) 17/08/02 17:00:15 INFO TaskSchedulerImpl: Adding task set 0.0 with 1 tasks 17/08/02 17:00:15 INFO TaskSetManager: Starting task 0.0 in stage 0.0 (TID 0, localhost, partition 0, PROCESS_LOCAL, 5324 bytes) 17/08/02 17:00:15 INFO Executor: Running task 0.0 in stage 0.0 (TID 0) 17/08/02 17:00:15 INFO HadoopRDD: Input split: file:/D:/logs/boss_debug.log:0+4059273 17/08/02 17:00:15 INFO deprecation: mapred.tip.id is deprecated. Instead, use mapreduce.task.id 17/08/02 17:00:15 INFO deprecation: mapred.task.id is deprecated. Instead, use mapreduce.task.attempt.id 17/08/02 17:00:15 INFO deprecation: mapred.task.is.map is deprecated. Instead, use mapreduce.task.ismap 17/08/02 17:00:15 INFO deprecation: mapred.task.partition is deprecated. Instead, use mapreduce.task.partition 17/08/02 17:00:15 INFO deprecation: mapred.job.id is deprecated. Instead, use mapreduce.job.id 17/08/02 17:00:15 INFO MemoryStore: Block rdd_1_0 stored as values in memory (estimated size 5.7 MB, free 888.4 MB) 17/08/02 17:00:15 INFO BlockManagerInfo: Added rdd_1_0 in memory on 169.254.90.236:59397 (size: 5.7 MB, free: 888.5 MB) 17/08/02 17:00:15 INFO Executor: Finished task 0.0 in stage 0.0 (TID 0). 1842 bytes result sent to driver 17/08/02 17:00:16 INFO TaskSetManager: Finished task 0.0 in stage 0.0 (TID 0) in 691 ms on localhost (1/1) 17/08/02 17:00:16 INFO TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks have all completed, from pool 17/08/02 17:00:16 INFO DAGScheduler: ResultStage 0 (count at SimpleApp.java:26) finished in 0.726 s 17/08/02 17:00:16 INFO DAGScheduler: Job 0 finished: count at SimpleApp.java:26, took 1.078428 s 17/08/02 17:00:16 INFO SparkContext: Starting job: count at SimpleApp.java:33 17/08/02 17:00:16 INFO DAGScheduler: Got job 1 (count at SimpleApp.java:33) with 1 output partitions 17/08/02 17:00:16 INFO DAGScheduler: Final stage: ResultStage 1 (count at SimpleApp.java:33) 17/08/02 17:00:16 INFO DAGScheduler: Parents of final stage: List() 17/08/02 17:00:16 INFO DAGScheduler: Missing parents: List() 17/08/02 17:00:16 INFO DAGScheduler: Submitting ResultStage 1 (MapPartitionsRDD[3] at filter at SimpleApp.java:29), which has no missing parents 17/08/02 17:00:16 INFO MemoryStore: Block broadcast_2 stored as values in memory (estimated size 3.2 KB, free 888.4 MB) 17/08/02 17:00:16 INFO MemoryStore: Block broadcast_2_piece0 stored as bytes in memory (estimated size 1967.0 B, free 888.4 MB) 17/08/02 17:00:16 INFO BlockManagerInfo: Added broadcast_2_piece0 in memory on 169.254.90.236:59397 (size: 1967.0 B, free: 888.5 MB) 17/08/02 17:00:16 INFO SparkContext: Created broadcast 2 from broadcast at DAGScheduler.scala:1012 17/08/02 17:00:16 INFO DAGScheduler: Submitting 1 missing tasks from ResultStage 1 (MapPartitionsRDD[3] at filter at SimpleApp.java:29) 17/08/02 17:00:16 INFO TaskSchedulerImpl: Adding task set 1.0 with 1 tasks 17/08/02 17:00:16 INFO TaskSetManager: Starting task 0.0 in stage 1.0 (TID 1, localhost, partition 0, PROCESS_LOCAL, 5324 bytes) 17/08/02 17:00:16 INFO Executor: Running task 0.0 in stage 1.0 (TID 1) 17/08/02 17:00:16 INFO BlockManager: Found block rdd_1_0 locally 17/08/02 17:00:16 INFO Executor: Finished task 0.0 in stage 1.0 (TID 1). 954 bytes result sent to driver 17/08/02 17:00:16 INFO DAGScheduler: ResultStage 1 (count at SimpleApp.java:33) finished in 0.100 s 17/08/02 17:00:16 INFO DAGScheduler: Job 1 finished: count at SimpleApp.java:33, took 0.139033 s 17/08/02 17:00:16 INFO TaskSetManager: Finished task 0.0 in stage 1.0 (TID 1) in 99 ms on localhost (1/1) 17/08/02 17:00:16 INFO TaskSchedulerImpl: Removed TaskSet 1.0, whose tasks have all completed, from pool Lines with a: 11146, lines with b: 10760 17/08/02 17:00:16 INFO SparkContext: Invoking stop() from shutdown hook 17/08/02 17:00:16 INFO SparkUI: Stopped Spark web UI at http://169.254.90.236:4040 17/08/02 17:00:16 INFO MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped! 17/08/02 17:00:16 INFO MemoryStore: MemoryStore cleared 17/08/02 17:00:16 INFO BlockManager: BlockManager stopped 17/08/02 17:00:16 INFO BlockManagerMaster: BlockManagerMaster stopped 17/08/02 17:00:16 INFO OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped! 17/08/02 17:00:16 INFO SparkContext: Successfully stopped SparkContext 17/08/02 17:00:16 INFO ShutdownHookManager: Shutdown hook called 17/08/02 17:00:16 INFO ShutdownHookManager: Deleting directory C:\Users\Administrator\AppData\Local\Temp\spark-c40f2015-170f-4633-89dd-44dcd5bacfec Process finished with exit code 0

一、配置插件

在resources文件夹下新建：generatorConfig.xml

内容如下：注意修改包名等信息

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<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE generatorConfiguration
  PUBLIC "-//mybatis.org//DTD MyBatis Generator Configuration 1.0//EN"
  "http://mybatis.org/dtd/mybatis-generator-config_1_0.dtd">
<!--
详细说明请看：http://blog.csdn.net/tiantangpw/article/details/51690534
-->
<generatorConfiguration>
  <context id="mysqlgenerator" targetRuntime="MyBatis3">
    <!--数据库配置-->
    <jdbcConnection connectionURL="jdbc:mysql://127.0.0.1:3306/booksystem"
      driverClass="com.mysql.jdbc.Driver"
      password="hisen"
      userId="root"/>
      
    <!--生成Model(实体类，与数据库字段对应的bean)类存放位置-->
    <javaModelGenerator targetPackage="com.hisen.entity" targetProject="src/main/java">
      <property name="enableSubPackages" value="true"/>
      <property name="trimStrings" value="true"/>
    </javaModelGenerator>
    <!--生成映射(xxxmapper.xml)文件存放位置-->
    <sqlMapGenerator targetPackage="mapper" targetProject="src/main/resources">
      <property name="enableSubPackages" value="true"/>
    </sqlMapGenerator>
    <!--生成Dao类存放位置-->
    <javaClientGenerator type="XMLMAPPER" targetPackage="com.hisen.dao"
      targetProject="src/main/java">
      <property name="enableSubPackages" value="true"/>
    </javaClientGenerator>
    
    <!--要生成的表-->
    <table tableName="appointment"/>
    <table tableName="user"/>
  </context>
</generatorConfiguration>

二、添加maven插件

运行报错

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org.apache.ibatis.binding.BindingException: Invalid bound statement (not found): com.hisen.dao.UserMapper.insert

使用mybatis生成插件，产生的mapper，由于路径不对移动了一下mapper.java文件

所以造成mapper.xml里面的namespace错误，无法映射

所以把namespace改为正确的即可

例如：

mapper.UserMapper

改为

com.hisen.dao.UserMapper