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storm、hbase、kafka整合过程中遇到的log4j冲突问题

2016-04-12 18:44 585 查看
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
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标签:  storm hbase Kafka