MRUnit测试在使用MULTIPLEOUTPUTS写入HDFS时给出NULLPOINTER异常

时间：2016-01-05 05:29:20

标签： java hadoop mapreduce mrunit

我目前有一个mapReduce程序，它使用不同的文件名将数据发送到hdfs。所以在我的reducer中，我使用MultipleOutputs写入HDFS中的不同文件（下面的Full Reducer代码）。

我想使用mrunit测试我的代码，下面是我的测试方法。

@Test
public void reducerMRUnit() throws IOException{

    String output="";
    ArrayList<Text> list = new ArrayList<Text>(0);
    list.add(new Text(""));

    reduceDriver.withInput(new Text(""), list);

    reduceDriver.withPathOutput(new Text(output),NullWritable.get(),"");


    reduceDriver.runTest();
}

但是，当我运行此测试时，它会给我NPE。

java.lang.NullPointerException
at org.apache.hadoop.fs.Path.<init>(Path.java:104)
at org.apache.hadoop.fs.Path.<init>(Path.java:93)
at org.apache.hadoop.mapreduce.lib.output.FileOutputFormat.getDefaultWorkFile(FileOutputFormat.java:286)
at org.apache.hadoop.mapreduce.lib.output.TextOutputFormat.getRecordWriter(TextOutputFormat.java:129)
at org.apache.hadoop.mapreduce.lib.output.MultipleOutputs.getRecordWriter(MultipleOutputs.java:476)
at org.apache.hadoop.mapreduce.lib.output.MultipleOutputs.write(MultipleOutputs.java:456)
at org.clinical3PO.learn.fasta.ArffToFastAReducer.reduce(ArffToFastAReducer.java:127)
at org.clinical3PO.learn.fasta.ArffToFastAReducer.reduce(ArffToFastAReducer.java:1)
at org.apache.hadoop.mapreduce.Reducer.run(Reducer.java:171)
at org.apache.hadoop.mrunit.mapreduce.ReduceDriver.run(ReduceDriver.java:265)
at org.apache.hadoop.mrunit.TestDriver.runTest(TestDriver.java:640)
at org.apache.hadoop.mrunit.TestDriver.runTest(TestDriver.java:627)
at org.clinical3PO.learn.fasta.MRUnitTest.ArffToFastAReducerMRUnitTest.reducerMRUnit(ArffToFastAReducerMRUnitTest.java:63)
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:497)
at org.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:44)
at org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:15)
at org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:41)
at org.junit.internal.runners.statements.InvokeMethod.evaluate(InvokeMethod.java:20)
at org.junit.internal.runners.statements.RunBefores.evaluate(RunBefores.java:28)
at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:76)
at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:50)
at org.junit.runners.ParentRunner$3.run(ParentRunner.java:193)
at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:52)
at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:191)
at org.junit.runners.ParentRunner.access$000(ParentRunner.java:42)
at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:184)
at org.junit.runners.ParentRunner.run(ParentRunner.java:236)
at org.eclipse.jdt.internal.junit4.runner.JUnit4TestReference.run(JUnit4TestReference.java:50)
at org.eclipse.jdt.internal.junit.runner.TestExecution.run(TestExecution.java:38)
at org.eclipse.jdt.internal.junit.runner.RemoteTestRunner.runTests(RemoteTestRunner.java:459)
at org.eclipse.jdt.internal.junit.runner.RemoteTestRunner.runTests(RemoteTestRunner.java:675)
at org.eclipse.jdt.internal.junit.runner.RemoteTestRunner.run(RemoteTestRunner.java:382)
at org.eclipse.jdt.internal.junit.runner.RemoteTestRunner.main(RemoteTestRunner.java:192)

减速机代码：

import java.io.IOException;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Reducer;
import org.apache.hadoop.mapreduce.lib.output.MultipleOutputs;

public class AReducer extends Reducer<Text, Text, Text, NullWritable>{
    private MultipleOutputs<Text, NullWritable> mos = null;

    @Override
    public void setup(Context context) throws IOException {
        mos = new MultipleOutputs<Text, NullWritable>(context);
    }

    @Override
    public void reduce(Text key, Iterable<Text> values, Context context)
            throws IOException, InterruptedException {
        mos = new MultipleOutputs<Text, NullWritable>(context);
        mos.write(key, value, "filename");
    }

    @Override
    public void cleanup(Context context) throws IOException, InterruptedException {
        mos.close();
    }
}

任何建议？

1 个答案:

答案 0 :(得分：1)

MRUnit目前有一个已知问题，没有详细记录，测试<meta name="viewport" content="width=device-width, initial-scale=1"> 需要运行MultipleOutputs测试并且应用PowerMockRunner注释来模拟reducer类。 JIRA问题MRUNIT-13和MRUNIT-213包含对此的详细讨论。 MRUNIT-213仍未解决/未解决。

将PowerMock添加到项目中会在排列正确兼容的Mockito和PowerMock版本时引发一些进一步的挑战。 Using PowerMock with Mockito上的文档涵盖了哪些版本兼容。

我尝试对您的样本进行这些更改。那已超过PrepareForTest，但后来遇到了最后一个问题。测试中声明的预期路径输出与reducer代码使用的NullPointerException路径不匹配。我更改了预期的路径输出以使测试完全通过。

这是我的最终结果：一个完整​​工作的项目，带有您的样本测试。享受！

的pom.xml 

"filename"

的src /主/爪哇/ AReducer.java 

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/maven-v4_0_0.xsd">
    <modelVersion>4.0.0</modelVersion>
    <groupId>test</groupId>
    <artifactId>test-mrunit</artifactId>
    <packaging>jar</packaging>
    <version>0.0.1-SNAPSHOT</version>
    <name>Test MRUnit</name>
    <description>Test MRUnit</description>
    <properties>
        <hadoop.version>2.7.1</hadoop.version>
        <powermock.version>1.6.4</powermock.version>
    </properties>
    <dependencies>
        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-common</artifactId>
            <version>${hadoop.version}</version>
            <scope>provided</scope>
        </dependency>
        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-mapreduce-client-core</artifactId>
            <version>${hadoop.version}</version>
            <scope>provided</scope>
        </dependency>
        <dependency>
            <groupId>junit</groupId>
            <artifactId>junit</artifactId>
            <version>4.11</version>
            <scope>test</scope>
        </dependency>
        <dependency>
            <groupId>org.mockito</groupId>
            <artifactId>mockito-all</artifactId>
            <version>1.10.19</version>
            <scope>test</scope>
        </dependency>
        <dependency>
            <groupId>org.powermock</groupId>
            <artifactId>powermock-core</artifactId>
            <version>${powermock.version}</version>
            <scope>test</scope>
        </dependency>
        <dependency>
            <groupId>org.powermock</groupId>
            <artifactId>powermock-module-junit4</artifactId>
            <version>${powermock.version}</version>
            <scope>test</scope>
        </dependency>
        <dependency>
            <groupId>org.powermock</groupId>
            <artifactId>powermock-api-mockito</artifactId>
            <version>${powermock.version}</version>
            <scope>test</scope>
        </dependency>
        <dependency>
            <groupId>org.apache.mrunit</groupId>
            <artifactId>mrunit</artifactId>
            <version>1.1.0</version>
            <classifier>hadoop2</classifier>
            <scope>test</scope>
        </dependency>
    </dependencies>
</project>

的src /测试/ JAVA / TestAReducer.java 

import java.io.IOException;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Reducer;
import org.apache.hadoop.mapreduce.lib.output.MultipleOutputs;

public class AReducer extends Reducer<Text, Text, Text, NullWritable>{
    private MultipleOutputs<Text, NullWritable> mos = null;

    @Override
    public void setup(Context context) throws IOException {
        mos = new MultipleOutputs<Text, NullWritable>(context);
    }

    @Override
    public void reduce(Text key, Iterable<Text> values, Context context)
            throws IOException, InterruptedException {
        mos.write(key, NullWritable.get(), "filename");
    }

    @Override
    public void cleanup(Context context) throws IOException, InterruptedException {
        mos.close();
    }
}
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