Spark2.3 - 运行异常NoSuchMethodError：io.netty.buffer.PooledByteBufAllocator.metric()

Spark2.3 - 运行异常NoSuchMethodError：io.netty.buffer.PooledByteBufAllocator.metric()

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一、问题说明

在一个项目中同时引入了多个框架

1. hbase 1.4.1
2. kafka 1.1.0
3. spark 2.3.0

在以local模型运行spark示例程序的时候，出现如下报错：

Exception in thread "main" java.lang.NoSuchMethodError: io.netty.buffer.PooledByteBufAllocator.metric()Lio/netty/buffer/PooledByteBufAllocatorMetric;
    at org.apache.spark.network.util.NettyMemoryMetrics.registerMetrics(NettyMemoryMetrics.java:80)
    at org.apache.spark.network.util.NettyMemoryMetrics.<init>(NettyMemoryMetrics.java:76)
    at org.apache.spark.network.client.TransportClientFactory.<init>(TransportClientFactory.java:109)
    at org.apache.spark.network.TransportContext.createClientFactory(TransportContext.java:99)
    at org.apache.spark.rpc.netty.NettyRpcEnv.<init>(NettyRpcEnv.scala:71)
    at org.apache.spark.rpc.netty.NettyRpcEnvFactory.create(NettyRpcEnv.scala:461)
    at org.apache.spark.rpc.RpcEnv$.create(RpcEnv.scala:57)
    at org.apache.spark.SparkEnv$.create(SparkEnv.scala:249)
    at org.apache.spark.SparkEnv$.createDriverEnv(SparkEnv.scala:175)
    at org.apache.spark.SparkContext.createSparkEnv(SparkContext.scala:256)
    at org.apache.spark.SparkContext.<init>(SparkContext.scala:423)
    at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2486)
    at org.apache.spark.sql.SparkSession$Builder$$anonfun$7.apply(SparkSession.scala:930)
    at org.apache.spark.sql.SparkSession$Builder$$anonfun$7.apply(SparkSession.scala:921)
    at scala.Option.getOrElse(Option.scala:121)
    at org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:921)
    at spark.ml.JavaAFTSurvivalRegressionExample.main(JavaAFTSurvivalRegressionExample.java:50)
    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 com.intellij.rt.execution.application.AppMain.main(AppMain.java:147)

二、问题分析

在通过搜索，根据：http://www.aboutyun.com/thread-24429-1-1.html 把问题定位到，可能是依赖中存在多个版本的 netty导致程序出现NoSuchMethodError异常。

接下来使用命令mvn dependency:tree >> log/dependency.log用于分析现在程序中已有的jar包依赖，通过搜索日志文件中发现：

1. org.apache.hbase:hbase-client:jar:1.4.1:compile中包含有io.netty:netty-all:jar:4.1.8.Final:compile jar包
2. org.apache.spark:spark-core_2.11:jar:2.3.0:compile中包含有io.netty:netty:jar:3.9.9.Final:compile

初步定位就是这两个jar包导致的冲突。

我首先采用的方案是使用 <exclusions></exclusions>标签剔除 spark-core 中所有的低版本的netty，无果。

后来发现在 stackoverflow 中有人发现类似的问题：https://stackoverflow.com/questions/49137397/spark-2-3-0-netty-version-issue-nosuchmethod-io-netty-buffer-pooledbytebufalloc?utm_medium=organic&utm_source=google_rich_qa&utm_campaign=google_rich_qa

在这里面主要强调了一遍maven的传递依赖问题，https://maven.apache.org/guides/introduction/introduction-to-dependency-mechanism.html。

并且评论中的解决方法是使用<dependencyManagement></dependencyManagement>对于项目中的多版本进行管理，添加依赖如下：

<dependencyManagement>
    <dependencies>
        <dependency>
            <groupId>io.netty</groupId>
            <artifactId>netty-all</artifactId>
            <version>4.1.18.Final</version>
        </dependency>
    </dependencies>
</dependencyManagement>

注： 这里的版本是根据 mvn 生成的日志文件中的 netty 的版本所确定的。

三、运行结果

在增添该配置以后，程序可以正常运行：

四、完整依赖

<?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/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>

    <properties>
        <java.version>1.8</java.version>
        <scala.version>2.11.12</scala.version>

        <hbase.version>1.4.1</hbase.version>
        <kafka.version>1.1.0</kafka.version>
        <spark.version>2.3.0</spark.version>
    </properties>


    <dependencyManagement>
        <dependencies>
            <dependency>
                <groupId>io.netty</groupId>
                <artifactId>netty-all</artifactId>
                <version>4.1.18.Final</version>
            </dependency>
        </dependencies>
    </dependencyManagement>

    <dependencies>

        <!-- 引入hbase -->
        <dependency>
            <groupId>org.apache.hbase</groupId>
            <artifactId>hbase-client</artifactId>
            <version>${hbase.version}</version>
        </dependency>

        <!-- 引入kafka -->
        <dependency>
            <groupId>org.apache.kafka</groupId>
            <artifactId>kafka-clients</artifactId>
            <version>${kafka.version}</version>
        </dependency>

        <!-- 引入spark -->
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-core_2.11</artifactId>
            <version>${spark.version}</version>

            <exclusions>
                <exclusion>
                    <groupId>io.netty</groupId>
                    <artifactId>netty</artifactId>
                </exclusion>
            </exclusions>
        </dependency>
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-sql_2.11</artifactId>
            <version>${spark.version}</version>
        </dependency>
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-mllib_2.11</artifactId>
            <version>${spark.version}</version>
        </dependency>



        <!-- 引入日志系统 -->
        <dependency>
            <groupId>org.slf4j</groupId>
            <artifactId>slf4j-api</artifactId>
            <version>1.7.21</version>
        </dependency>

        <dependency>
            <groupId>org.slf4j</groupId>
            <artifactId>slf4j-log4j12</artifactId>
            <version>1.7.21</version>
        </dependency>

        <!-- 简化配置lombok -->
        <dependency>
            <groupId>org.projectlombok</groupId>
            <artifactId>lombok</artifactId>
            <version>1.16.20</version>
        </dependency>


        <!-- 引入测试 -->
        <dependency>
            <groupId>junit</groupId>
            <artifactId>junit</artifactId>
            <version>4.11</version>
            <scope>test</scope>
        </dependency>
    </dependencies>

    <build>
        <plugins>
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-compiler-plugin</artifactId>
                <version>3.5.1</version>
                <configuration>
                    <source>${java.version}</source>
                    <target>${java.version}</target>
                </configuration>
            </plugin>
        </plugins>
    </build>
</project>