解决requestFeature() must be called before adding content错误

本文介绍如何在Android应用中实现全屏显示效果,包括隐藏标题栏和状态栏的方法,并提供了具体的代码示例。

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Android 实现画面全屏(取消标题、取消状态栏):

  //取消标题
  this.requestWindowFeature(Window.FEATURE_NO_TITLE);
  
  this.setContentView(R.layout.logo); //Activity样式文件,一定要写在中间

  //取消状态栏
  this.getWindow().setFlags(WindowManager.LayoutParams.FLAG_FULLSCREEN,
    WindowManager.LayoutParams.FLAG_FULLSCREEN);

 

<?xml version="1.0" encoding="utf-8"?>
<LinearLayout xmlns:android="http://schemas.android.com/apk/res/android"
    android:orientation="vertical"
    android:layout_width="fill_parent"
    android:layout_height="fill_parent"
    android:gravity="center"
    android:background="@color/white"
    >

    <ImageView
    android:id="@+id/logo"
    android:src="@drawable/logo_bg"
    android:layout_width="wrap_content"
    android:layout_height="wrap_content"
   
    />
   
</LinearLayout>


java.lang.RuntimeException:Unable to start activity ComponentInfo

这是因为:

java的执行顺序有关!目前遇到的这个问题就是因为在系统运行开始的时候就已经调用父类的构造方法,接着调用setContentView方法展示视图界面。R.layout.main是R.java资源类中的一个属性。当你在调用这个方法之后在声明Widget就会报:android.util.AndroidRuntimeException: requestFeature() must be called before adding content

所以前面的那三句中加载Activity的样式的那句代码一定要写在中间。

 

解决requestFeature() must be called before adding content错误 - ppy2790@126 - IT培训

### Hadoop 2.7.0 Pseudo-Distributed Installation Overview For setting up a pseudo-distributed environment with Hadoop 2.7.0, the process involves configuring Hadoop to run as multiple daemons on a single machine but simulating a distributed setup[^1]. This configuration allows developers and administrators to test applications locally before deploying them into fully distributed environments. #### Prerequisites Before proceeding with the installation of Hadoop 2.7.0 in pseudo-distributed mode, ensure that Java is installed since Hadoop requires it. Additionally, SSH access must be configured for localhost without requiring a password because several Hadoop processes will need to communicate over SSH during operation[^1]. #### Configuration Steps The core-site.xml file needs modification to specify where NameNode runs by adding `fs.defaultFS` property pointing towards hdfs://localhost:9000/. Similarly, within hdfs-site.xml, properties like `dfs.replication`, which controls block replication factor should typically set to one when running under this type of deployment scenario[^1]. After editing these files located inside `$HADOOP_HOME/etc/hadoop/`, format the namenode using command-line tool provided by hadoop package through executing `hdfs namenode -format`. Once formatted successfully start all services via script available at sbin directory named `start-dfs.sh`. To verify everything works correctly after completing above steps, place some sample data into HDFS utilizing commands such as putting text files from local filesystem or generating synthetic datasets directly onto cluster storage system[^1]. ```bash $ echo "Test content" | hdfs dfs -put - /user/testfile.txt ``` This line demonstrates how to create a new file called 'testfile.txt' containing string “Test Content”. #### Running MapReduce Jobs Locally With Hadoop now properly configured for pseudo-distribution, users can execute simple word count examples included out-of-the-box alongside other mapreduce jobs against their personal clusters while observing output results generated either interactively or stored back again within managed directories present across network attached storages (NAS).
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