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。
