storm、hbase、kafka整合过程中遇到的log4j冲突问题

文章来源：http://itindex.net/detail/55255-storm-hbase-kafka

标签： storm hbase kafka | 发表时间：2016-02-24 04:22 | 作者：ynp

出处：http://www.iteye.com

storm、hbase、kafka整合过程中遇到的log4j冲突问题

---》报错

SLF4J: Detected both log4j-over-slf4j.jar AND slf4j-log4j12.jar on the class path, preempting StackOverflowError.

SLF4J: See also http://www.slf4j.org/codes.html#log4jDelegationLoop for more details.

10059 [Thread-15-KafkaSpout] ERROR backtype.storm.util - Async loop died!

java.lang.NoClassDefFoundError: Could not initialize class org.apache.log4j.Log4jLoggerFactory

at org.apache.log4j.Logger.getLogger(Logger.java:39) ~[log4j-over-slf4j-1.6.6.jar:1.6.6]

at kafka.utils.Logging$class.logger(Logging.scala:24) ~[kafka_2.11-0.8.2.1.jar:na]

---》原因

log4j-over-slf4j.jar AND slf4j-log4j12.jar 循环调用冲突了，再进一步原因是kafka、hbase中用的是log4j。

---》解决方法

* 方案一：把storm中的log4j-over-slf4j 依赖排除；

<dependency>      <groupId>org.apache.storm</groupId>      <artifactId>storm-core</artifactId>      <version>0.9.5</version>      <scope>provided</scope>      <exclusions>        <exclusion>          <groupId>org.slf4j</groupId>          <artifactId>log4j-over-slf4j</artifactId>        </exclusion>      </exclusions>    </dependency>               <dependency>      <groupId>org.apache.kafka</groupId>      <artifactId>kafka_2.11</artifactId>      <version>0.8.2.1</version>    </dependency>        <dependency>      <groupId>org.apache.hbase</groupId>      <artifactId>hbase-client</artifactId>      <version>1.0.1.1</version>    </dependency>

* 方案二：把kafka和hbase中的slf4j-log4j12 依赖排除；

<dependency>      <groupId>org.apache.storm</groupId>      <artifactId>storm-core</artifactId>      <version>0.9.5</version>      <scope>provided</scope>      <exclusions>        <exclusion>          <groupId>org.slf4j</groupId>          <artifactId>log4j-over-slf4j</artifactId>        </exclusion>        <exclusion>          <groupId>org.slf4j</groupId>          <artifactId>slf4j-api</artifactId>        </exclusion>      </exclusions>       -->    </dependency>               <dependency>      <groupId>org.apache.kafka</groupId>      <artifactId>kafka_2.11</artifactId>      <version>0.8.2.1</version>      <exclusions>            <exclusion>                <groupId>org.slf4j</groupId>                <artifactId>slf4j-log4j12</artifactId>            </exclusion>            <exclusion>                <groupId>log4j</groupId>                <artifactId>log4j</artifactId>            </exclusion>        </exclusions>    </dependency>        <dependency>      <groupId>org.apache.hbase</groupId>      <artifactId>hbase-client</artifactId>      <version>1.0.1.1</version>      <exclusions>            <exclusion>                <groupId>org.slf4j</groupId>                <artifactId>slf4j-log4j12</artifactId>            </exclusion>            <exclusion>                <groupId>log4j</groupId>                <artifactId>log4j</artifactId>            </exclusion>        </exclusions>    </dependency><!--     <dependency>      <groupId>org.apache.hbase</groupId>      <artifactId>hbase-common</artifactId>      <version>1.0.1.1</version>    </dependency>     -->    <dependency>      <groupId>redis.clients</groupId>      <artifactId>jedis</artifactId>      <version>2.7.0</version>    </dependency>

* 采用方案二便于集群发布

* storm的日志时采用的 SLF4J和Logback日志框架，所以自己写的storm代码统一使用 slf4j 的包，可以避免大多数包冲突问题。

import org.slf4j.Logger;

import org.slf4j.LoggerFactory;

public class MyBolt {

private static final Logger LOG = LoggerFactory

.getLogger(MyBolt.class);

}

---》参考

http://www.tuicool.com/articles/aIzyqiy

http://stackoverflow.com/questions/21630860/storm-topology-not-submit

http://blog.csdn.net/gongmf/article/details/40379547