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這期內容當中小編將會給大家帶來有關 spark取得lzo壓縮文件報錯 java.lang.ClassNotFoundException該怎么辦，文章內容豐富且以專業的角度為大家分析和敘述，閱讀完這篇文章希望大家可以有所收獲。
恩,這個問題,反正是我從來沒有注意的問題,但今天還是寫出來吧
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
啟動 spark-shell
執行如下代碼
val lzoFile = sc.textFile("/tmp/data/lzo/part-m-00000.lzo")
lzoFile.count12java.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$.main(SparkSubmit.scala:112) at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) Caused by: java.lang.reflect.InvocationTargetException at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:606) at org.apache.hadoop.util.ReflectionUtils.setJobConf(ReflectionUtils.java:106) ... 45 more Caused by: java.lang.IllegalArgumentException: Compression codec com.hadoop.compression.lzo.LzoCodec not found. at org.apache.hadoop.io.compress.CompressionCodecFactory.getCodecClasses(CompressionCodecFactory.java:135) at org.apache.hadoop.io.compress.CompressionCodecFactory.<init>(CompressionCodecFactory.java:175) at org.apache.hadoop.mapred.TextInputFormat.configure(TextInputFormat.java:45) ... 50 more Caused by: java.lang.ClassNotFoundException: Class com.hadoop.compression.lzo.LzoCodec not found at org.apache.hadoop.conf.Configuration.getClassByName(Configuration.java:1803) at org.apache.hadoop.io.compress.CompressionCodecFactory.getCodecClasses(CompressionCodecFactory.java:128) ... 52 more 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263
后來有點懷疑 hadoop core-site.xml配置格式問題,然后讓同事幫我跟進hadoop 源碼,可以肯定不是hadoop問題
然后 我就想了想,之前也遇到類似的問題,我是這樣配置spark-env.sh
export SPARK_LIBRARY_PATH=$SPARK_LIBRARY_PATH:/home/stark_summer/opt/hadoop/hadoop-2.3.0-cdh6.1.0/lib/native/Linux-amd64-64/*:/home/stark_summer/opt/hadoop/hadoop-2.3.0-cdh6.1.0/share/hadoop/common/hadoop-lzo-0.4.15-cdh6.1.0.jar:/home/stark_summer/opt/spark/spark-1.3.1-bin-hadoop2.3/lib/* export SPARK_CLASSPATH=$SPARK_CLASSPATH:/home/stark_summer/opt/hadoop/hadoop-2.3.0-cdh6.1.0/share/hadoop/common/hadoop-lzo-0.4.15-cdh6.1.0.jar:/home/stark_summer/opt/spark/spark-1.3.1-bin-hadoop2.3/lib/*12
這個配置是之前fix這個問題的,但是 是很久之前的事情,我早已經忘了,所以這是平日寫博客的好處,把每次遇到的問題全部記錄下來
恩?如果我指定具體.jar包,那就沒問題了,但是在spark中 難道必須要用 * 來指定某個目錄下的所有jar么?那這個跟hadoop還真不一樣呢,在hadoop中 我們要指定某個目錄下的jar包,都是/xxx/yyy/lib/
而spark必須要求/xxx/yyy/lib/*,才能加載到這個目錄下的jar包,否則就會包如上錯誤
export LD_LIBRARY_PATH=$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
當再次執行上述代碼就沒有問題了
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=$SPARK_CLASSPATH:/home/cluster/apps/hadoop/share/hadoop/yarn/*:/home/cluster/apps/hadoop/share/hadoop/yarn/lib/*:/home/cluster/apps/hadoop/share/hadoop/common/*:/home/cluster/apps/hadoop/share/hadoop/common/lib/*:/home/cluster/apps/hadoop/share/hadoop/hdfs/*:/home/cluster/apps/hadoop/share/hadoop/hdfs/lib/*:/home/cluster/apps/hadoop/share/hadoop/mapreduce/*:/home/cluster/apps/hadoop/share/hadoop/mapreduce/lib/*:/home/cluster/apps/hadoop/share/hadoop/tools/lib/*:/home/cluster/apps/spark/spark-1.4.1/lib/*123
尼瑪 就會報錯如下:
spark.repl.class.uri=http://10.32.24.78:52753) error [Ljava.lang.StackTraceElement;@4efb0b1f2015-09-11 17:52:02,357 ERROR [main] spark.SparkContext (Logging.scala:logError(96)) - Error initializing SparkContext.java.lang.reflect.InvocationTargetException at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method) at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57) at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45) at java.lang.reflect.Constructor.newInstance(Constructor.java:526) at org.apache.spark.io.CompressionCodec$.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
上述就是小編為大家分享的 spark取得lzo壓縮文件報錯 java.lang.ClassNotFoundException該怎么辦了，如果剛好有類似的疑惑，不妨參照上述分析進行理解。如果想知道更多相關知識，歡迎關注億速云行業資訊頻道。
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