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Hbase、elasticsearch整合中jar包冲突的问题解决

转载  2017-12-02   作者:止鱼   我要评论

本篇文章主要介绍了Hbase、elasticsearch整合中jar包冲突的问题解决,小编觉得挺不错的,现在分享给大家,也给大家做个参考。一起跟随小编过来看看吧

问题背景

再数据平台中,项目搭建需要使用es和HBASE搭建数据查询接口,整合的过程中出现jar包冲突的bug :com.google.common.base.Stopwatch.()V from class org.apache.hadoop.hbase.zookeeper.MetaTableLocator

org.apache.hadoop.hbase.DoNotRetryIOException: java.lang.IllegalAccessError: tried to access method com.google.common.base.Stopwatch.<init>()V from class org.apache.hadoop.hbase.zookeeper.MetaTableLocator
    at org.apache.hadoop.hbase.client.RpcRetryingCaller.translateException(RpcRetryingCaller.java:239)
    at org.apache.hadoop.hbase.client.RpcRetryingCaller.callWithRetries(RpcRetryingCaller.java:150)
    ...
    at java.lang.Thread.run(Thread.java:745)
Caused by: java.lang.IllegalAccessError: tried to access method com.google.common.base.Stopwatch.<init>()V from class org.apache.hadoop.hbase.zookeeper.MetaTableLocator
    at org.apache.hadoop.hbase.zookeeper.MetaTableLocator.blockUntil
    ...
    at org.apache.hadoop.hbase.client.RegionServerCallable.prepare(RegionServerCallable.java:75)
    at org.apache.hadoop.hbase.client.RpcRetryingCaller.callWithRetries(RpcRetryingCaller.java:134)
    ... 45 more

解决办法

经排查,确认是因为 com.google.guava 这个包引起的冲突。es依赖于18及以上版本,而HBASE只支持16及以上版本。而guava这个包从17开始内部发生变化,方法发生改变,所以18并不会向下兼容16版本。在项目运行的过程中,如果同时引入16、18版本,es及hbase的调用过程会发生混乱。那么接下来就好办了,我们可以重新打包,将guava18打入es内部,再在pom文件中显示引用guava16版本的包。这样,es调用包内部打入的guava18,而hbase调用外部的guava16。

重新打包

新建maven工程,在pom文件中进行如下配置:

<?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>

  <!--
    this maven project is aim to fix the jar comflic in hbase & elasticsearch.
    in es, required guava 18+ or up. but in hbase you should use guava 16- or blow.

    cd the project directory and run 'sh ./cleanbuild.sh',you will get a new-self jar.
    then, adjust your project pom.xml whth:
    <dependency>
      <groupId>douguo.shaded.elasticsearch</groupId>
      <artifactId>douguo_shaded_elasticsearch</artifactId>
      <version>1.0-SNAPSHOT</version>
      <exclusions>
        <exclusion>
          <groupId>org.elasticsearch</groupId>
          <artifactId>elasticsearch</artifactId>
        </exclusion>
      </exclusions>
    </dependency>
    finally, your jar comflic will be fixed.

    @date:2017-11-30
    @author:zhangjianfei
    @since:douguo.shaded.elasticsearch-1.0.0
  -->
  <groupId>douguo.shaded.elasticsearch</groupId>
  <artifactId>douguo_shaded_elasticsearch</artifactId>
  <version>1.0-SNAPSHOT</version>

  <properties>
    <elasticsearch.version>2.4.1</elasticsearch.version>
  </properties>
  <dependencies>
    <dependency>
      <groupId>org.elasticsearch</groupId>
      <artifactId>elasticsearch</artifactId>
      <version>${elasticsearch.version}</version>
    </dependency>
    <dependency>
      <groupId>org.elasticsearch.plugin</groupId>
      <artifactId>shield</artifactId>
      <version>${elasticsearch.version}</version>
    </dependency>
  </dependencies>
  <build>
    <plugins>
      <plugin>
        <groupId>org.apache.maven.plugins</groupId>
        <artifactId>maven-shade-plugin</artifactId>
        <version>2.4.1</version>
        <configuration>
          <createDependencyReducedPom>false</createDependencyReducedPom>
        </configuration>
        <executions>
          <execution>
            <phase>package</phase>
            <goals>
              <goal>shade</goal>
            </goals>
            <configuration>
              <relocations>
                <relocation>
                  <pattern>com.google.guava</pattern>
                  <shadedPattern>douguo.shaded.elasticsearch.guava</shadedPattern>
                </relocation>
                <relocation>
                  <pattern>org.joda</pattern>
                  <shadedPattern>douguo.shaded.elasticsearch.joda</shadedPattern>
                </relocation>
                <relocation>
                  <pattern>com.google.common</pattern>
                  <shadedPattern>douguo.shaded.elasticsearch.common</shadedPattern>
                </relocation>
                <relocation>
                  <pattern>com.google.thirdparty</pattern>
                  <shadedPattern>douguo.shaded.elasticsearch.thirdparty</shadedPattern>
                </relocation>
              </relocations>
              <transformers>
                <transformer implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer" />
              </transformers>
            </configuration>
          </execution>
        </executions>
      </plugin>
    </plugins>
  </build>

  <repositories>
    <repository>
      <id>elasticsearch-releases</id>
      <url>http://maven.elasticsearch.org/releases</url>
      <releases>
        <enabled>true</enabled>
        <updatePolicy>daily</updatePolicy>
      </releases>
      <snapshots>
        <enabled>false</enabled>
      </snapshots>
    </repository>
  </repositories>

</project>

将org.joda等4个可能有冲突的jar包通过maven-shade-plugin插件迁移后重新打个jar包从而使得在引入这个jar包时能够使用该jar包自己的依赖而不是使用外部依赖。这里需要注意的是,需要将com.google.common等4个包全部重新迁移,否则会出现java.lang.IllegalAccessError: tried to access method com.google.common.base的错误

项目打包

mvn clean install

新的依赖包会在.m2 maven仓库中,如果公司搭建了仓库的话,需要上传jar包。如果直接运行jar包的话,记得重新编译项目,并替换lib目录

项目载入新包

只需要在pom文件中配置:

<!-- douguo.shaded.elasticsearch -->
<dependency>
  <groupId>douguo.shaded.elasticsearch</groupId>
  <artifactId>douguo_shaded_elasticsearch</artifactId>
  <version>1.0-SNAPSHOT</version>
  <exclusions>
    <exclusion>
      <groupId>org.elasticsearch</groupId>
      <artifactId>elasticsearch</artifactId>
    </exclusion>
  </exclusions>
</dependency>


<!-- https://mvnrepository.com/artifact/com.google.guava/guava -->
<!-- this guava is only used in habse
   in es, 18.0+ is required, but hbase only supported 16.0 or blow.
   clean as install douguo.shaded.elasticsearch -->
<dependency>
  <groupId>com.google.guava</groupId>
  <artifactId>guava</artifactId>
  <version>16.0</version>
</dependency>

这样,guava18包就在douguo.shaded.elasticsearch下,es会优先调用。而外部配置的guava16就会被HBASE调用。2个版本的jar包互相独立存在!

到此,问题就解决了!

以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持脚本之家。

  • Hbase
  • elasticsearch
  • jar

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