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！
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