問題背景
再數據平臺中,項目搭建需要使用es和HBASE搭建數據查詢接口,整合的過程中出現jar包沖突的bug :com.google.common.base.Stopwatch.()V from class org.apache.hadoop.hbase.zookeeper.MetaTableLocator
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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 |
解決辦法
經排查,確認是因為 com.google.guava 這個包引起的沖突。es依賴于18及以上版本,而HBASE只支持16及以上版本。而guava這個包從17開始內部發生變化,方法發生改變,所以18并不會向下兼容16版本。在項目運行的過程中,如果同時引入16、18版本,es及hbase的調用過程會發生混亂。那么接下來就好辦了,我們可以重新打包,將guava18打入es內部,再在pom文件中顯示引用guava16版本的包。這樣,es調用包內部打入的guava18,而hbase調用外部的guava16。
重新打包
新建maven工程,在pom文件中進行如下配置:
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<? 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 > |
將org.joda等4個可能有沖突的jar包通過maven-shade-plugin插件遷移后重新打個jar包從而使得在引入這個jar包時能夠使用該jar包自己的依賴而不是使用外部依賴。這里需要注意的是,需要將com.google.common等4個包全部重新遷移,否則會出現java.lang.IllegalAccessError: tried to access method com.google.common.base的錯誤
項目打包
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mvn clean install |
新的依賴包會在.m2 maven倉庫中,如果公司搭建了倉庫的話,需要上傳jar包。如果直接運行jar包的話,記得重新編譯項目,并替換lib目錄
項目載入新包
只需要在pom文件中配置:
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<!-- 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 > |
這樣,guava18包就在douguo.shaded.elasticsearch下,es會優先調用。而外部配置的guava16就會被HBASE調用。2個版本的jar包互相獨立存在!
到此,問題就解決了!
以上就是本文的全部內容,希望對大家的學習有所幫助,也希望大家多多支持服務器之家。
原文鏈接:http://blog.csdn.net/qq_31573519/article/details/78679831