这几天由于项目的需要,需要将Flume收集到的日志插入到Hbase中,有人说,这不很简单么?Flume里面自带了Hbase sink,可以直接调用啊,还用说么?是的,我在本博客的《Flume-1.4.0和Hbase-0.96.0整合》文章中就提到如何用Flume和Hbase整合,从文章中就看出整个过程不太复杂,直接做相应的配置就行了。那么为什么今天还要特意提一下Flume-0.9.4和Hbase-0.96整合?这是因为Flume-0.9.4和Hbase-0.96整合比Flume-1.4.0和Hbase-0.96整合麻烦多了!不是随便几个配置就能搞定的,里面涉及到修改Flume和Hadoop的源码!
先看下我公司的Hadoop、Hbase、Flume等的配置吧。2013年10月末,公司的Hadoop升级到2.2.0,Hbase升级到0.96,Zookeeper升级到3.4.5,但是Flume版本由于各种原因没有升级,还是用Flume-0.9.4,而Flume-0.9.4源码是基于Hadoop-0.20.2-CDH3B4、Hbase-0.90.1-cdh3u0开发的,Hadoop-0.20.2-CDH3B4和现在的Hadoop-2.2.0完全不一样的设计,而且直接用Hadoop-0.20.2-CDH3B4会使得Flume-0.9.4不能和Hbase-0.96.0通信,都不能通信了,何谈整合!但是经过几天的奋战,我们终于通过修改Flume和Hadoop的部分源码达到了Flume-0.9.4和Hbase-0.96整合,今天就分享一下我们是怎么修改的。
1、修改Flume-src根目录下的pom.xml文件中的部分依赖版本
(1)、Hadoop2x里面已经没有hadoop-core jar包,所以修改Hadoop的依赖包的版本:
<dependency> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-core</artifactId> <version>${cdh.hadoop.version}</version> </dependency> 修改为 <dependency> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-mapreduce-client-core</artifactId> <version> 2.2 . 0 </version> </dependency> <dependency> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-common</artifactId> <version> 2.2 . 0 </version> </dependency> <dependency> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-mapreduce-client-common</artifactId> <version> 2.2 . 0 </version> </dependency> <dependency> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-mapreduce-client-jobclient</artifactId> <version> 2.2 . 0 </version> </dependency> |
(2)、修改Guava的版本
<dependency> <groupId>com.google.guava</groupId> <artifactId>guava</artifactId> <version>r07</version> </dependency> 修改为 <dependency> <groupId>com.google.guava</groupId> <artifactId>guava</artifactId> <version> 10.0 . 1 </version> </dependency> |
(3)、修改flume-src\flume-core\pom.xml里面的以下配置
<dependency> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-core</artifactId> </dependency> 修改为 <dependency> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-mapreduce-client-core</artifactId> <version> 2.2 . 0 </version> </dependency> <dependency> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-common</artifactId> <version> 2.2 . 0 </version> </dependency> <dependency> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-mapreduce-client-common</artifactId> <version> 2.2 . 0 </version> </dependency> <dependency> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-mapreduce-client-jobclient</artifactId> <version> 2.2 . 0 </version> </dependency> |
(4)、修改flume-src\plugins\flume-plugin-hbasesink\pom.xml里面的以下配置
<dependency> <groupId>org.apache.hbase</groupId> <artifactId>hbase</artifactId> <version>${cdh.hbase.version}</version> </dependency> <dependency> <groupId>org.apache.hbase</groupId> <artifactId>hbase</artifactId> <version>${cdh.hbase.version}</version> <classifier>tests</classifier> <scope>test</scope> </dependency> <dependency> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-test</artifactId> <version>${cdh.hadoop.version}</version> <scope>test</scope> </dependency> 修改为 <dependency> <groupId>org.apache.hbase</groupId> <artifactId>hbase-it</artifactId> <version> 0.96 . 0 -hadoop2</version> </dependency> |
2,修改flume-core \ src \ main \ java \ org \ apache \ hadoop \ io \ FlushingSequenceFileWriter.java和RawSequenceFileWriter.java两个java类,
因为步骤一中我们用新版本的Hadoop替换了旧版本的Hadoop,而新版本Hadoop中的org.apache.hadoop.io.SequenceFile.Writer类和旧版本的org.apache.hadoop.io.SequenceFile.Writer类有些不一样。所以导致了FlushingSequenceFileWriter.java和RawSequenceFileWriter.java两个java类出现了部分的错误,解决方法如下:
(1),需要修改Hadoop-2.2.0源码中的hadoop-2.2.0-src \ hadoop-common-project \ hadoop-common \ src \ main \ java \ org \ apache \ hadoop \ io \ SequenceFile.java类,在Writer类里面添加替换的构造函数:
Writer(){ this .compress = CompressionType.NONE; } |
然后重新编译hadoop-common-project工程,将编译后的hadoop-common-2.2.0.jar替换为hadoop-common-2.2.0.jar
(2),修改FlushingSequenceFileWriter.java和RawSequenceFileWriter.java
这两个类中有错误,请使用新版本的Hadoop的相应API替换掉旧版本的Hadoop的API,具体如何修改,由此不不说了,如有需要的同学,可以邮件联系我(wyphao.2007@163.com )
(3),修改com.cloudera.flume.handlers.seqfile中的SequenceFileOutputFormat类修改如下:
this (SequenceFile.getCompressionType(FlumeConfiguration.get()), new DefaultCodec()); 修改为 this (SequenceFile.getDefaultCompressionType(FlumeConfiguration.get()), new DefaultCodec()); CompressionType compressionType = SequenceFile.getCompressionType(conf); 修改为 CompressionType compressionType = SequenceFile.getDefaultCompressionType(conf); |
3,重新编译Flume源码
重新编译Flume源码(如何编译Flume源码?请参见本博客的《 Flume-0.9.4内核编译及一些编译错误解决方法》),并用编译之后的flume-core-0.9.4- cdh3u3.jar替换$ {FLUME_HOME} / lib中的flume-core-0.9.4-cdh3u3.jar类。删除掉$ {FLUME_HOME} /lib/hadoop-core-0.20.2-cdh3u3.jar等有关Hadoop旧版本的包。
4,修改$ {} FLUME_HOME /斌/水槽脚本启动
仔细分析$ {} FLUME_HOME /斌/水槽脚本,你会发现如下代码:
# put hadoop conf dir in classpath to include Hadoop # core-site.xml/hdfs-site.xml if [ -n "${HADOOP_CONF_DIR}" ]; then CLASSPATH= "${CLASSPATH}:${HADOOP_CONF_DIR}" elif [ -n "${HADOOP_HOME}" ] ; then CLASSPATH= "${CLASSPATH}:${HADOOP_HOME}/conf" elif [ -e "/usr/lib/hadoop/conf" ] ; then # if neither is present see if the CDH dir exists CLASSPATH= "${CLASSPATH}:/usr/lib/hadoop/conf" ; HADOOP_HOME= "/usr/lib/hadoop" fi # otherwise give up # try to load the hadoop core jars HADOOP_CORE_FOUND= false while true ; do if [ -n "$HADOOP_HOME" ]; then HADCOREJARS=`find ${HADOOP_HOME}/hadoop-core*.jar || \ find ${HADOOP_HOME}/lib/hadoop-core*.jar || true ` if [ -n "$HADCOREJARS" ]; then HADOOP_CORE_FOUND= true CLASSPATH= "$CLASSPATH:${HADCOREJARS}" break ; fi fi HADCOREJARS=`find ./lib/hadoop-core*.jar 2 > /dev/ null || true ` if [ -n "$HADCOREJARS" ]; then # if this is the dev environment then hadoop jar will # get added as part of ./lib (below) break fi # core jars may be missing, we'll check for this below break done |
你会发现,这是Flume加载Hadoop旧版本的依赖包,在新版本的Hadoop根本就没有$ {HADOOP_HOME} / conf等文件夹,所以会出现Flume不能加载对新版本Hadoop的依赖。这里教你用最简单的方法来实现对新版本的Hbase和Hadoop的依赖,在$ {FLUME_HOME} / bin / flume脚本里面加入下面的CLASSPATH依赖:
CLASSPATH= "/home/q/hbase/hbase-0.96.0-hadoop2/lib/*" |
5,如何和Hbase-0.96整合
在flume- src \ plugins \ flume-plugin-hbasesink \ src \ main \ java里面的添加自己的类(当然你完全可以自己创建一个新的maven工程)。如果需要和Hbase整合,必须继承EventSink.Base类,改写里面的方法(可以参照flume-src \ plugins \ flume-plugin-hbasesink \ src \ main \ java \ com \ cloudera \ flume \ hbase \ Attr2 HBase EventSink.java),写完之后需要重新编译flume-src \ plugins \ flume-plugin-hbasesink底下的类,打包成jar文件。然后将您写好的HBase接收器注册到Flume中,关于如何注册,请参见本博客的《 Flume -0.9.4配置Hbase sink》。。
6,结束
经过上面几步的配置,你的水槽-0.9.4就可以和Hbase-0.96整合了,祝你成功。
本文来自博客园,作者:大码王,转载请注明原文链接:https://www.cnblogs.com/huanghanyu/