运行 飞艇在 docker 容器上产生火花时找不到 lzo
lzo not found when running spark in zeppelin on docker container
我正在尝试 运行 将代码激发到飞艇中，我得到了这个：
java.lang.ClassNotFoundException: Class com.hadoop.compression.lzo.LzoCodec 未找到
zeppelin embedded spark 和我自己安装的 spark 存在同样的问题 shell (1.6.3)
配置：
- docker 容器来自 debian:jessie
- zeppelin 版本：0.6.2（从 tar 安装而不是从源代码构建）
- cdh 版本：5.9.0
- 容器上安装了 liblzo2-dev 和 hadoop-lzo
- SPARK_HOME 和 HADOOP_HOME 被设置为环境变量，也在 conf/zeppelin-env.sh
中
- lzo 库路径：
/usr/lib/hadoop/lib/hadoop-lzo-0.4.15-cdh5.9.0.jar
- compression.codecs 属性在 core-site.xml 和 mapred-site.xml
代码：
%spark
val bankText = sc.textFile("/tmp/bank/bank-full.csv")
case class Bank(age:Integer, job:String, marital : String, education : String, balance : Integer)
// split each line, filter out header (starts with "age"), and map it into Bank case class
val bank = bankText.map(s=>s.split(";")).filter(s=>s(0)!="\"age\"").map(
s=>Bank(s(0).toInt,
s(1).replaceAll("\"", ""),
s(2).replaceAll("\"", ""),
s(3).replaceAll("\"", ""),
s(5).replaceAll("\"", "").toInt
)
)
// convert to DataFrame and create temporal table
bank.toDF().show()
错误：
bankText: org.apache.spark.rdd.RDD[String] = /tmp/bank/bank-full.csv MapPartitionsRDD[1] at textFile at <console>:29
defined class Bank
bank: org.apache.spark.rdd.RDD[Bank] = MapPartitionsRDD[4] at map at <console>:33
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:188)
at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:201)
at org.apache.spark.rdd.RDD$$anonfun$partitions.apply(RDD.scala:239)
at org.apache.spark.rdd.RDD$$anonfun$partitions.apply(RDD.scala:237)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
at org.apache.spark.rdd.RDD$$anonfun$partitions.apply(RDD.scala:239)
at org.apache.spark.rdd.RDD$$anonfun$partitions.apply(RDD.scala:237)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
at org.apache.spark.rdd.RDD$$anonfun$partitions.apply(RDD.scala:239)
at org.apache.spark.rdd.RDD$$anonfun$partitions.apply(RDD.scala:237)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
at org.apache.spark.rdd.RDD$$anonfun$partitions.apply(RDD.scala:239)
at org.apache.spark.rdd.RDD$$anonfun$partitions.apply(RDD.scala:237)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
at org.apache.spark.rdd.RDD$$anonfun$partitions.apply(RDD.scala:239)
at org.apache.spark.rdd.RDD$$anonfun$partitions.apply(RDD.scala:237)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
at org.apache.spark.rdd.RDD$$anonfun$partitions.apply(RDD.scala:239)
at org.apache.spark.rdd.RDD$$anonfun$partitions.apply(RDD.scala:237)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
at org.apache.spark.rdd.RDD$$anonfun$partitions.apply(RDD.scala:239)
at org.apache.spark.rdd.RDD$$anonfun$partitions.apply(RDD.scala:237)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:190)
at org.apache.spark.sql.execution.Limit.executeCollect(basicOperators.scala:165)
at org.apache.spark.sql.execution.SparkPlan.executeCollectPublic(SparkPlan.scala:174)
at org.apache.spark.sql.DataFrame$$anonfun$org$apache$spark$sql$DataFrame$$execute.apply(DataFrame.scala:1500)
at org.apache.spark.sql.DataFrame$$anonfun$org$apache$spark$sql$DataFrame$$execute.apply(DataFrame.scala:1500)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:56)
at org.apache.spark.sql.DataFrame.withNewExecutionId(DataFrame.scala:2087)
at org.apache.spark.sql.DataFrame.org$apache$spark$sql$DataFrame$$execute(DataFrame.scala:1499)
at org.apache.spark.sql.DataFrame.org$apache$spark$sql$DataFrame$$collect(DataFrame.scala:1506)
at org.apache.spark.sql.DataFrame$$anonfun$head.apply(DataFrame.scala:1376)
at org.apache.spark.sql.DataFrame$$anonfun$head.apply(DataFrame.scala:1375)
at org.apache.spark.sql.DataFrame.withCallback(DataFrame.scala:2100)
at org.apache.spark.sql.DataFrame.head(DataFrame.scala:1375)
at org.apache.spark.sql.DataFrame.take(DataFrame.scala:1457)
at org.apache.spark.sql.DataFrame.showString(DataFrame.scala:170)
at org.apache.spark.sql.DataFrame.show(DataFrame.scala:350)
at org.apache.spark.sql.DataFrame.show(DataFrame.scala:311)
at org.apache.spark.sql.DataFrame.show(DataFrame.scala:319)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:36)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:41)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:43)
at $iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:45)
at $iwC$$iwC$$iwC$$iwC.<init>(<console>:47)
at $iwC$$iwC$$iwC.<init>(<console>:49)
at $iwC$$iwC.<init>(<console>:51)
at $iwC.<init>(<console>:53)
at <init>(<console>:55)
at .<init>(<console>:59)
at .<clinit>(<console>)
at .<init>(<console>:7)
at .<clinit>(<console>)
at $print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1346)
at org.apache.spark.repl.SparkIMain.loadAndRunReq(SparkIMain.scala:840)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
at sun.reflect.GeneratedMethodAccessor46.invoke(Unknown Source)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.zeppelin.spark.Utils.invokeMethod(Utils.java:38)
at org.apache.zeppelin.spark.SparkInterpreter.interpret(SparkInterpreter.java:953)
at org.apache.zeppelin.spark.SparkInterpreter.interpretInput(SparkInterpreter.java:1168)
at org.apache.zeppelin.spark.SparkInterpreter.interpret(SparkInterpreter.java:1111)
at org.apache.zeppelin.spark.SparkInterpreter.interpret(SparkInterpreter.java:1104)
at org.apache.zeppelin.interpreter.LazyOpenInterpreter.interpret(LazyOpenInterpreter.java:94)
at org.apache.zeppelin.interpreter.remote.RemoteInterpreterServer$InterpretJob.jobRun(RemoteInterpreterServer.java:341)
at org.apache.zeppelin.scheduler.Job.run(Job.java:176)
at org.apache.zeppelin.scheduler.FIFOScheduler.run(FIFOScheduler.java:139)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access1(ScheduledThreadPoolExecutor.java:180)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.lang.reflect.InvocationTargetException
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.hadoop.util.ReflectionUtils.setJobConf(ReflectionUtils.java:106)
... 98 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)
... 103 more
Caused by: java.lang.ClassNotFoundException: Class com.hadoop.compression.lzo.LzoCodec not found
at org.apache.hadoop.conf.Configuration.getClassByName(Configuration.java:1980)
at org.apache.hadoop.io.compress.CompressionCodecFactory.getCodecClasses(CompressionCodecFactory.java:128)
... 105 more
我在这里找到了一些信息：link 但似乎对我不起作用或者我做错了什么。
有什么想法吗？
谢谢
经过多天的研究，我终于从源代码（从 v0.6.2 标签）构建了 zeppelin，并且它可以使用所有相同的配置！
我认为二进制包适用于特定版本的 cdh 和 hadoop（发行说明中没有关于此的信息）所以如果您遇到问题，我鼓励您构建 zeppelin 而不是使用二进制文件！
希望对您有所帮助
我正在尝试 运行 将代码激发到飞艇中，我得到了这个： java.lang.ClassNotFoundException: Class com.hadoop.compression.lzo.LzoCodec 未找到
zeppelin embedded spark 和我自己安装的 spark 存在同样的问题 shell (1.6.3)
配置：
- docker 容器来自 debian:jessie
- zeppelin 版本：0.6.2（从 tar 安装而不是从源代码构建）
- cdh 版本：5.9.0
- 容器上安装了 liblzo2-dev 和 hadoop-lzo
- SPARK_HOME 和 HADOOP_HOME 被设置为环境变量，也在 conf/zeppelin-env.sh 中
- lzo 库路径： /usr/lib/hadoop/lib/hadoop-lzo-0.4.15-cdh5.9.0.jar
- compression.codecs 属性在 core-site.xml 和 mapred-site.xml
代码：
%spark
val bankText = sc.textFile("/tmp/bank/bank-full.csv")
case class Bank(age:Integer, job:String, marital : String, education : String, balance : Integer)
// split each line, filter out header (starts with "age"), and map it into Bank case class
val bank = bankText.map(s=>s.split(";")).filter(s=>s(0)!="\"age\"").map(
s=>Bank(s(0).toInt,
s(1).replaceAll("\"", ""),
s(2).replaceAll("\"", ""),
s(3).replaceAll("\"", ""),
s(5).replaceAll("\"", "").toInt
)
)
// convert to DataFrame and create temporal table
bank.toDF().show()
错误：
bankText: org.apache.spark.rdd.RDD[String] = /tmp/bank/bank-full.csv MapPartitionsRDD[1] at textFile at <console>:29
defined class Bank
bank: org.apache.spark.rdd.RDD[Bank] = MapPartitionsRDD[4] at map at <console>:33
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:188)
at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:201)
at org.apache.spark.rdd.RDD$$anonfun$partitions.apply(RDD.scala:239)
at org.apache.spark.rdd.RDD$$anonfun$partitions.apply(RDD.scala:237)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
at org.apache.spark.rdd.RDD$$anonfun$partitions.apply(RDD.scala:239)
at org.apache.spark.rdd.RDD$$anonfun$partitions.apply(RDD.scala:237)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
at org.apache.spark.rdd.RDD$$anonfun$partitions.apply(RDD.scala:239)
at org.apache.spark.rdd.RDD$$anonfun$partitions.apply(RDD.scala:237)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
at org.apache.spark.rdd.RDD$$anonfun$partitions.apply(RDD.scala:239)
at org.apache.spark.rdd.RDD$$anonfun$partitions.apply(RDD.scala:237)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
at org.apache.spark.rdd.RDD$$anonfun$partitions.apply(RDD.scala:239)
at org.apache.spark.rdd.RDD$$anonfun$partitions.apply(RDD.scala:237)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
at org.apache.spark.rdd.RDD$$anonfun$partitions.apply(RDD.scala:239)
at org.apache.spark.rdd.RDD$$anonfun$partitions.apply(RDD.scala:237)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
at org.apache.spark.rdd.RDD$$anonfun$partitions.apply(RDD.scala:239)
at org.apache.spark.rdd.RDD$$anonfun$partitions.apply(RDD.scala:237)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:190)
at org.apache.spark.sql.execution.Limit.executeCollect(basicOperators.scala:165)
at org.apache.spark.sql.execution.SparkPlan.executeCollectPublic(SparkPlan.scala:174)
at org.apache.spark.sql.DataFrame$$anonfun$org$apache$spark$sql$DataFrame$$execute.apply(DataFrame.scala:1500)
at org.apache.spark.sql.DataFrame$$anonfun$org$apache$spark$sql$DataFrame$$execute.apply(DataFrame.scala:1500)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:56)
at org.apache.spark.sql.DataFrame.withNewExecutionId(DataFrame.scala:2087)
at org.apache.spark.sql.DataFrame.org$apache$spark$sql$DataFrame$$execute(DataFrame.scala:1499)
at org.apache.spark.sql.DataFrame.org$apache$spark$sql$DataFrame$$collect(DataFrame.scala:1506)
at org.apache.spark.sql.DataFrame$$anonfun$head.apply(DataFrame.scala:1376)
at org.apache.spark.sql.DataFrame$$anonfun$head.apply(DataFrame.scala:1375)
at org.apache.spark.sql.DataFrame.withCallback(DataFrame.scala:2100)
at org.apache.spark.sql.DataFrame.head(DataFrame.scala:1375)
at org.apache.spark.sql.DataFrame.take(DataFrame.scala:1457)
at org.apache.spark.sql.DataFrame.showString(DataFrame.scala:170)
at org.apache.spark.sql.DataFrame.show(DataFrame.scala:350)
at org.apache.spark.sql.DataFrame.show(DataFrame.scala:311)
at org.apache.spark.sql.DataFrame.show(DataFrame.scala:319)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:36)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:41)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:43)
at $iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:45)
at $iwC$$iwC$$iwC$$iwC.<init>(<console>:47)
at $iwC$$iwC$$iwC.<init>(<console>:49)
at $iwC$$iwC.<init>(<console>:51)
at $iwC.<init>(<console>:53)
at <init>(<console>:55)
at .<init>(<console>:59)
at .<clinit>(<console>)
at .<init>(<console>:7)
at .<clinit>(<console>)
at $print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1346)
at org.apache.spark.repl.SparkIMain.loadAndRunReq(SparkIMain.scala:840)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
at sun.reflect.GeneratedMethodAccessor46.invoke(Unknown Source)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.zeppelin.spark.Utils.invokeMethod(Utils.java:38)
at org.apache.zeppelin.spark.SparkInterpreter.interpret(SparkInterpreter.java:953)
at org.apache.zeppelin.spark.SparkInterpreter.interpretInput(SparkInterpreter.java:1168)
at org.apache.zeppelin.spark.SparkInterpreter.interpret(SparkInterpreter.java:1111)
at org.apache.zeppelin.spark.SparkInterpreter.interpret(SparkInterpreter.java:1104)
at org.apache.zeppelin.interpreter.LazyOpenInterpreter.interpret(LazyOpenInterpreter.java:94)
at org.apache.zeppelin.interpreter.remote.RemoteInterpreterServer$InterpretJob.jobRun(RemoteInterpreterServer.java:341)
at org.apache.zeppelin.scheduler.Job.run(Job.java:176)
at org.apache.zeppelin.scheduler.FIFOScheduler.run(FIFOScheduler.java:139)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access1(ScheduledThreadPoolExecutor.java:180)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.lang.reflect.InvocationTargetException
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.hadoop.util.ReflectionUtils.setJobConf(ReflectionUtils.java:106)
... 98 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)
... 103 more
Caused by: java.lang.ClassNotFoundException: Class com.hadoop.compression.lzo.LzoCodec not found
at org.apache.hadoop.conf.Configuration.getClassByName(Configuration.java:1980)
at org.apache.hadoop.io.compress.CompressionCodecFactory.getCodecClasses(CompressionCodecFactory.java:128)
... 105 more
我在这里找到了一些信息：link 但似乎对我不起作用或者我做错了什么。
有什么想法吗？
谢谢
经过多天的研究，我终于从源代码（从 v0.6.2 标签）构建了 zeppelin，并且它可以使用所有相同的配置！
我认为二进制包适用于特定版本的 cdh 和 hadoop（发行说明中没有关于此的信息）所以如果您遇到问题，我鼓励您构建 zeppelin 而不是使用二进制文件！
希望对您有所帮助