设为首页 收藏本站
查看: 638|回复: 0

[经验分享] spark取得lzo压缩文件报错 java.lang.ClassNotFoundException: Class com.hadoop.compression

[复制链接]

尚未签到

发表于 2016-12-11 09:11:40 | 显示全部楼层 |阅读模式
恩,这个问题,反正是我从来没有注意的问题,但今天还是写出来吧


配置信息


hadoop core-site.xml配置

<property>
   <name>io.compression.codecs</name>
        <value>org.apache.hadoop.io.compress.GzipCodec,org.apache.hadoop.io.compress.DefaultCodec,com.hadoop.compression.lzo.LzoCodec,com.hadoop.compression.lzo.LzopCodec,org.apache.hadoop.io.compress.BZip2Codec,org.apache.hadoop.io.compress.LzmaCodec</value>
    </property>
    <property>
        <name>io.compression.codec.lzo.class</name>
        <value>com.hadoop.compression.lzo.LzoCodec</value>
    </property>12345678910
 
io compression codec 是lzo
spark-env.sh配置

export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/home/cluster/apps/hadoop/lib/nativeexport SPARK_LIBRARY_PATH=$SPARK_LIBRARY_PATH:/home/cluster/apps/hadoop/lib/nativeexport SPARK_CLASSPATH=$SPARK_CLASSPATH:/home/cluster/apps/hadoop/share/hadoop/yarn/:/home/cluster/apps/hadoop/share/hadoop/yarn/lib/:/home/cluster/apps/hadoop/share/hadoop/common/:/home/cluster/apps/hadoop/share/hadoop/common/lib/:/home/cluster/apps/hadoop/share/hadoop/hdfs/:/home/cluster/apps/hadoop/share/hadoop/hdfs/lib/:/home/cluster/apps/hadoop/share/hadoop/mapreduce/:/home/cluster/apps/hadoop/share/hadoop/mapreduce/lib/:/home/cluster/apps/hadoop/share/hadoop/tools/lib/:/home/cluster/apps/spark/spark-1.4.1/lib/123
 


操作信息


启动 spark-shell 
执行如下代码


 val lzoFile  = sc.textFile("/tmp/data/lzo/part-m-00000.lzo")
 lzoFile.count12
 


具体报错信息


java.lang.RuntimeException: Error in configuring object 
        at org.apache.hadoop.util.ReflectionUtils.setJobConf(ReflectionUtils.java:109) 
        at org.apache.hadoop.util.ReflectionUtils.setConf(ReflectionUtils.java:75) 
        at org.apache.hadoop.util.ReflectionUtils.newInstance(ReflectionUtils.java:133) 
        at org.apache.spark.rdd.HadoopRDD.getInputFormat(HadoopRDD.scala:190) 
        at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:203) 
        at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219) 
        at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217) 
        at scala.Option.getOrElse(Option.scala:120) 
        at org.apache.spark.rdd.RDD.partitions(RDD.scala:217) 
        at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:32) 
        at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219) 
        at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217) 
        at scala.Option.getOrElse(Option.scala:120) 
        at org.apache.spark.rdd.RDD.partitions(RDD.scala:217) 
        at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:32) 
        at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219) 
        at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217) 
        at scala.Option.getOrElse(Option.scala:120) 
        at org.apache.spark.rdd.RDD.partitions(RDD.scala:217) 
        at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:32) 
        at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219) 
        at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217) 
        at scala.Option.getOrElse(Option.scala:120) 
        at org.apache.spark.rdd.RDD.partitions(RDD.scala:217) 
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:1781) 
        at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:885) 
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147) 
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108) 
        at org.apache.spark.rdd.RDD.withScope(RDD.scala:286) 
        at org.apache.spark.rdd.RDD.collect(RDD.scala:884) 
        at org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:105) 
        at org.apache.spark.sql.hive.HiveContext$QueryExecution.stringResult(HiveContext.scala:503) 
        at org.apache.spark.sql.hive.thriftserver.AbstractSparkSQLDriver.run(AbstractSparkSQLDriver.scala:58) 
        at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:283) 
        at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:423) 
        at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:218) 
        at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala) 
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) 
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) 
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) 
        at java.lang.reflect.Method.invoke(Method.java:606) 
        at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:665) 
        at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:170) 
        at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:193) 
        at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:112) 
        at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) 
Caused by: java.lang.reflect.InvocationTargetException 
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) 
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) 
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) 
        at java.lang.reflect.Method.invoke(Method.java:606) 
        at org.apache.hadoop.util.ReflectionUtils.setJobConf(ReflectionUtils.java:106) 
        ... 45 more 
Caused by: java.lang.IllegalArgumentException: Compression codec com.hadoop.compression.lzo.LzoCodec not found. 
        at org.apache.hadoop.io.compress.CompressionCodecFactory.getCodecClasses(CompressionCodecFactory.java:135) 
        at org.apache.hadoop.io.compress.CompressionCodecFactory.<init>(CompressionCodecFactory.java:175) 
        at org.apache.hadoop.mapred.TextInputFormat.configure(TextInputFormat.java:45) 
        ... 50 more 
Caused by: java.lang.ClassNotFoundException: Class com.hadoop.compression.lzo.LzoCodec not found 
        at org.apache.hadoop.conf.Configuration.getClassByName(Configuration.java:1803) 
        at org.apache.hadoop.io.compress.CompressionCodecFactory.getCodecClasses(CompressionCodecFactory.java:128) 
        ... 52 more 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263
 


然后如何解决呢


后来有点怀疑 hadoop core-site.xml配置格式问题,然后让同事帮我跟进hadoop 源码,可以肯定不是hadoop问题 
然后 我就想了想,之前也遇到类似的问题,我是这样配置spark-env.sh


export SPARK_LIBRARY_PATH=$SPARK_LIBRARY_PATH:/home/stark_summer/opt/hadoop/hadoop-2.3.0-cdh5.1.0/lib/native/Linux-amd64-64/*:/home/stark_summer/opt/hadoop/hadoop-2.3.0-cdh5.1.0/share/hadoop/common/hadoop-lzo-0.4.15-cdh5.1.0.jar:/home/stark_summer/opt/spark/spark-1.3.1-bin-hadoop2.3/lib/*
export SPARK_CLASSPATH=$SPARK_CLASSPATH:/home/stark_summer/opt/hadoop/hadoop-2.3.0-cdh5.1.0/share/hadoop/common/hadoop-lzo-0.4.15-cdh5.1.0.jar:/home/stark_summer/opt/spark/spark-1.3.1-bin-hadoop2.3/lib/*12
 
这个配置是之前fix这个问题的,但是 是很久之前的事情,我早已经忘了,所以这是平日写博客的好处,把每次遇到的问题全部记录下来 
恩?如果我指定具体.jar包,那就没问题了,但是在spark中 难道必须要用 * 来指定某个目录下的所有jar么?那这个跟hadoop还真不一样呢,在hadoop中 我们要指定某个目录下的jar包,都是/xxx/yyy/lib/ 
而spark必须要求/xxx/yyy/lib/*,才能加载到这个目录下的jar包,否则就会包如上错误



修改后的spark-env.sh配置文件


export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/home/cluster/apps/hadoop/lib/nativeexport SPARK_LIBRARY_PATH=$SPARK_LIBRARY_PATH:/home/cluster/apps/hadoop/lib/nativeexport SPARK_CLASSPATH=$SPARK_CLASSPATH:/home/cluster/apps/hadoop/share/hadoop/yarn/*:/home/cluster/apps/hadoop/share/hadoop/yarn/lib/*:/home/cluster/apps/hadoop/share/hadoop/common/*:/home/cluster/apps/hadoop/share/hadoop/common/lib/*:/home/cluster/apps/hadoop/share/hadoop/hdfs/*:/home/cluster/apps/hadoop/share/hadoop/hdfs/lib/*:/home/cluster/apps/hadoop/share/hadoop/mapreduce/*:/home/cluster/apps/hadoop/share/hadoop/mapreduce/lib/*:/home/cluster/apps/hadoop/share/hadoop/tools/lib/*:/home/cluster/apps/spark/spark-1.4.1/lib/*123
 
当再次执行上述代码就没有问题了


但是 但是 但是


如果 我把 /home/cluster/apps/hadoop/lib/native 改成/home/cluster/apps/hadoop/lib/native/*

export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/home/cluster/apps/hadoop/lib/native/*export SPARK_LIBRARY_PATH=$SPARK_LIBRARY_PATH:/home/cluster/apps/hadoop/lib/native/*export SPARK_CLASSPATH=$SPARK_CLASSPATH:/home/cluster/apps/hadoop/share/hadoop/yarn/*:/home/cluster/apps/hadoop/share/hadoop/yarn/lib/*:/home/cluster/apps/hadoop/share/hadoop/common/*:/home/cluster/apps/hadoop/share/hadoop/common/lib/*:/home/cluster/apps/hadoop/share/hadoop/hdfs/*:/home/cluster/apps/hadoop/share/hadoop/hdfs/lib/*:/home/cluster/apps/hadoop/share/hadoop/mapreduce/*:/home/cluster/apps/hadoop/share/hadoop/mapreduce/lib/*:/home/cluster/apps/hadoop/share/hadoop/tools/lib/*:/home/cluster/apps/spark/spark-1.4.1/lib/*123
 
尼玛 就会报错如下:

spark.repl.class.uri=http://10.32.24.78:52753) error [Ljava.lang.StackTraceElement;@4efb0b1f2015-09-11 17:52:02,357 ERROR [main] spark.SparkContext (Logging.scala:logError(96)) - Error initializing SparkContext.java.lang.reflect.InvocationTargetException
    at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
    at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)
    at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
    at java.lang.reflect.Constructor.newInstance(Constructor.java:526)
    at org.apache.spark.io.CompressionCodec$.createCodec(CompressionCodec.scala:68)
    at org.apache.spark.io.CompressionCodec$.createCodec(CompressionCodec.scala:60)
    at org.apache.spark.scheduler.EventLoggingListener.<init>(EventLoggingListener.scala:69)
    at org.apache.spark.SparkContext.<init>(SparkContext.scala:513)
    at org.apache.spark.repl.SparkILoop.createSparkContext(SparkILoop.scala:1017)
    at $line3.$read$$iwC$$iwC.<init>(<console>:9)
    at $line3.$read$$iwC.<init>(<console>:18)
at $line3.$read.<init>(<console>:20)
at $line3.$read$.<init>(<console>:24)
at $line3.$read$.<clinit>(<console>)
at $line3.$eval$.<init>(<console>:7)
at $line3.$eval$.<clinit>(<console>)
at $line3.$eval.$print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1338)
at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857)
at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902)
at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814)
at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:123)
    at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:122)
at org.apache.spark.repl.SparkIMain.beQuietDuring(SparkIMain.scala:324)
at org.apache.spark.repl.SparkILoopInit$class.initializeSpark(SparkILoopInit.scala:122)
at org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:64)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1$$anonfun$apply$mcZ$sp$5.apply$mcV$sp(SparkILoop.scala:974)
at org.apache.spark.repl.SparkILoopInit$class.runThunks(SparkILoopInit.scala:157)
at org.apache.spark.repl.SparkILoop.runThunks(SparkILoop.scala:64)
at org.apache.spark.repl.SparkILoopInit$class.postInitialization(SparkILoopInit.scala:106)
at org.apache.spark.repl.SparkILoop.postInitialization(SparkILoop.scala:64)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:991)
    at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
    at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
    at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
    at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:945)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059)
at org.apache.spark.repl.Main$.main(Main.scala:31)
at org.apache.spark.repl.Main.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:665)
    at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:170)
    at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:193)
    at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:112)
    at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.lang.IllegalArgumentException
    at org.apache.spark.io.SnappyCompressionCodec.<init>(CompressionCodec.scala:155)
    ... 56 more1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162
 


此刻我想说


您们城里人就是会玩,我已经被打败了~
尊重原创,拒绝转载,http://blog.csdn.net/stark_summer/article/details/48375999

运维网声明 1、欢迎大家加入本站运维交流群:群②:261659950 群⑤:202807635 群⑦870801961 群⑧679858003
2、本站所有主题由该帖子作者发表,该帖子作者与运维网享有帖子相关版权
3、所有作品的著作权均归原作者享有,请您和我们一样尊重他人的著作权等合法权益。如果您对作品感到满意,请购买正版
4、禁止制作、复制、发布和传播具有反动、淫秽、色情、暴力、凶杀等内容的信息,一经发现立即删除。若您因此触犯法律,一切后果自负,我们对此不承担任何责任
5、所有资源均系网友上传或者通过网络收集,我们仅提供一个展示、介绍、观摩学习的平台,我们不对其内容的准确性、可靠性、正当性、安全性、合法性等负责,亦不承担任何法律责任
6、所有作品仅供您个人学习、研究或欣赏,不得用于商业或者其他用途,否则,一切后果均由您自己承担,我们对此不承担任何法律责任
7、如涉及侵犯版权等问题,请您及时通知我们,我们将立即采取措施予以解决
8、联系人Email:admin@iyunv.com 网址:www.yunweiku.com

所有资源均系网友上传或者通过网络收集,我们仅提供一个展示、介绍、观摩学习的平台,我们不对其承担任何法律责任,如涉及侵犯版权等问题,请您及时通知我们,我们将立即处理,联系人Email:kefu@iyunv.com,QQ:1061981298 本贴地址:https://www.yunweiku.com/thread-312594-1-1.html 上篇帖子: 在eclipse下搭建hadoop开发环境各种问题的解决 下篇帖子: Hadoop开发常用的InputFormat和OutputFormat(转)
您需要登录后才可以回帖 登录 | 立即注册

本版积分规则

扫码加入运维网微信交流群X

扫码加入运维网微信交流群

扫描二维码加入运维网微信交流群,最新一手资源尽在官方微信交流群!快快加入我们吧...

扫描微信二维码查看详情

客服E-mail:kefu@iyunv.com 客服QQ:1061981298


QQ群⑦:运维网交流群⑦ QQ群⑧:运维网交流群⑧ k8s群:运维网kubernetes交流群


提醒:禁止发布任何违反国家法律、法规的言论与图片等内容;本站内容均来自个人观点与网络等信息,非本站认同之观点.


本站大部分资源是网友从网上搜集分享而来,其版权均归原作者及其网站所有,我们尊重他人的合法权益,如有内容侵犯您的合法权益,请及时与我们联系进行核实删除!



合作伙伴: 青云cloud

快速回复 返回顶部 返回列表