使用maven构建spark 1.2时，com包出现错误。谷歌。常见的

Question

CentOS
6.2
Hadoop
2.6.0
scala
2.10.5
java版本
“1.7.0_75”OpenJDK运行时环境（rhel-2.5.4.0.el6_6-x86_64 u75-b13）
OpenJDK 64位服务器虚拟机（构建24.75-b04，混合模式）
mvn版本
ApacheMaveen 3.3.3.1（CAB6659F9874FA96462AFEFF40F40FC33C；2015-C11301:T213）Maven
Java版本：1.7.0_75，供应商：Oracle公司
Java主页：/usr/lib/jvm/Java-1.7.0-openjdk-1.7.0.75。x86_64/jre
默认区域设置：en_US，平台编码：UTF-8
操作系统名称：“linux”，版本：“2.6.32-220.el6.x86_64”，arch:“amd64”，系列：“unix”
环境变量

export SCALA_HOME=/opt/scala
export JAVA_HOME=/usr/lib/jvm/java-1.7.0-openjdk-1.7.0.75.x86_64
export JRE_HOME=/usr/lib/jvm/java-1.7.0-openjdk-1.7.0.75.x86_64/jre
export HADOOP_HOME=/home/tom/hadoop
export SPARK_HOME=/home/tom/spark
export HADOOP_INSTALL=$HADOOP_HOME
export HADOOP_MAPRED_HOME=$HADOOP_HOME
export HADOOP_COMMON_HOME=$HADOOP_HOME
export HADOOP_HDFS_HOME=$HADOOP_HOME
export YARN_HOME=$HADOOP_HOME
export HADOOP_YARN_HOME=$HADOOP_HOME
export HADOOP_COMMON_LIB_NATIVE_DIR=$HADOOP_HOME/lib
export PATH=$PATH:$JAVA_HOME/bin:$JRE_HOME/bin:$HADOOP_HOME/sbin:$HADOOP_HOME/bin:$SPARK_HOME/bin:$MAVEN_HOME/bin:$SCALA_HOME/bin
export MAVEN_HOME=/opt/maven

export SPARK_EXAMPLES_JAR=$SPARK_HOME/spark-0.7.2/examples/target/scala-2.9.3/spark-examples_2.9.3-0.7.2.jar
export HADOOP_CONF_DIR=$HADOOP_HOME/etc/hadoop
export YARN_CONF_DIR=$HADOOP_HOME/etc/hadoop
export HADOOP_OPTS="$HADOOP_OPTS -Djava.library.path=$HADOOP_HOME/lib/"

构建命令
mvn-Pyarn-Phadoop-2.4-Dhadoop。版本=2.6.0-Phive-Phive-0.12.0-Phive thriftserver-DskipTests干净包
错误消息

[ERROR] /home/tom/spark/external/flume/src/main/scala/org/apache/spark/streaming/flume/FlumeBatchFetcher.scala:22: object Throwables is not a member of package com.google.common.base
[ERROR] import com.google.common.base.Throwables
[ERROR]        ^
[ERROR] /home/tom/spark/external/flume/src/main/scala/org/apache/spark/streaming/flume/FlumeBatchFetcher.scala:59: not found: value Throwables
[ERROR]           Throwables.getRootCause(e) match {
[ERROR]           ^
[ERROR] /home/tom/spark/external/flume/src/main/scala/org/apache/spark/streaming/flume/FlumePollingInputDStream.scala:26: object util is not a member of package com.google.common
[ERROR] import com.google.common.util.concurrent.ThreadFactoryBuilder
[ERROR]                          ^
[ERROR] /home/tom/spark/external/flume/src/main/scala/org/apache/spark/streaming/flume/FlumePollingInputDStream.scala:69: not found: type ThreadFactoryBuilder
[ERROR]     Executors.newCachedThreadPool(new ThreadFactoryBuilder().setDaemon(true).
[ERROR]                                       ^
[ERROR] /home/tom/spark/external/flume/src/main/scala/org/apache/spark/streaming/flume/FlumePollingInputDStream.scala:76: not found: type ThreadFactoryBuilder
[ERROR]     new ThreadFactoryBuilder().setDaemon(true).setNameFormat("Flume Receiver Thread - %d").build())
[ERROR]         ^
[ERROR] 5 errors found


[INFO] ------------------------------------------------------------------------
[INFO] Reactor Summary:
[INFO] 
[INFO] Spark Project Parent POM ........................... SUCCESS [ 10.121 s]
[INFO] Spark Project Networking ........................... SUCCESS [ 14.957 s]
[INFO] Spark Project Shuffle Streaming Service ............ SUCCESS [ 10.858 s]
[INFO] Spark Project Core ................................. SUCCESS [07:33 min]
[INFO] Spark Project Bagel ................................ SUCCESS [ 52.312 s]
[INFO] Spark Project GraphX ............................... SUCCESS [02:19 min]
[INFO] Spark Project Streaming ............................ SUCCESS [03:28 min]
[INFO] Spark Project Catalyst ............................. SUCCESS [03:18 min]
[INFO] Spark Project SQL .................................. SUCCESS [03:48 min]
[INFO] Spark Project ML Library ........................... SUCCESS [03:40 min]
[INFO] Spark Project Tools ................................ SUCCESS [ 29.380 s]
[INFO] Spark Project Hive ................................. SUCCESS [02:53 min]
[INFO] Spark Project REPL ................................. SUCCESS [01:32 min]
[INFO] Spark Project YARN Parent POM ...................... SUCCESS [  5.124 s]
[INFO] Spark Project YARN Stable API ...................... SUCCESS [01:34 min]
[INFO] Spark Project Hive Thrift Server ................... SUCCESS [ 56.404 s]
[INFO] Spark Project Assembly ............................. SUCCESS [01:11 min]
[INFO] Spark Project External Twitter ..................... SUCCESS [ 36.661 s]
[INFO] Spark Project External Flume Sink .................. SUCCESS [ 50.006 s]
[INFO] Spark Project External Flume ....................... FAILURE [ 14.287 s]
[INFO] Spark Project External MQTT ........................ SKIPPED
[INFO] Spark Project External ZeroMQ ...................... SKIPPED
[INFO] Spark Project External Kafka ....................... SKIPPED
[INFO] Spark Project Examples ............................. SKIPPED
[INFO] Spark Project YARN Shuffle Service ................. SKIPPED
[INFO] ------------------------------------------------------------------------
[INFO] BUILD FAILURE
[INFO] ------------------------------------------------------------------------
[INFO] Total time: 36:02 min
[INFO] Finished at: 2015-04-04T03:58:19+02:00
[INFO] Final Memory: 60M/330M
[INFO] ------------------------------------------------------------------------
[ERROR] Failed to execute goal net.alchim31.maven:scala-maven-plugin:3.2.0:compile (scala-compile-first) on project spark-streaming-flume_2.10: Execution scala-compile-first of goal net.alchim31.maven:scala-maven-plugin:3.2.0:compile failed. CompileFailed -> [Help 1]
[ERROR] 
[ERROR] To see the full stack trace of the errors, re-run Maven with the -e switch.
[ERROR] Re-run Maven using the -X switch to enable full debug logging.
[ERROR] 
[ERROR] For more information about the errors and possible solutions, please read the following articles:

我怀疑这是一些依赖性问题，但我无法理解。有人能帮我吗？

Answer 1

我今天也有类似的问题。本Spark项目外部水槽。。。。。。。。。。。。。。。。。。。。。。。失败log让我恼火，但我认为是git clean-xdf起了作用。如果还不够，还可以尝试git clean-Xdf。运行mvn 再次。祝你好运

Answer 2

如果你可以作弊，那么你可以跳过编译失败的模块

spark-streaming-flume_2.10和spark-streaming-kafka_2.10

以下命令用于编译Spark软件包，该软件包具有对带有CDH5的Spark SQL的配置单元支持。3.3和Spark 1.2.0。

mvn-Pyarn-Dhadoop。版本=2.5.0-cdh5。3.3-DskipTests-Phtml" target="_blank">hive-Phive-thriftserver-pl'！组织。阿帕奇。spark:spark-streaming-flume_2.10，！组织。阿帕奇。spark:spark-streaming-kafka_2.10'套装

Answer 3

在使用下面的命令进行构建时，我遇到了与ApacheSpark1.2.1相同的问题-

mvn -e -Pyarn -Phadoop-2.6 -Phive -Phive-thriftserver -DskipTests clean package

ApacheMaven的版本似乎在这里发挥了作用。在失败的情况下，Maven版本是-

Apache Maven **3.3.3** (7994120775791599e205a5524ec3e0dfe41d4a06; 2015-04-22T07:57:37-04:00)
Maven home: /opt/Spark/amit/apache-maven/apache-maven-3.3.3
Java version: 1.8.0, vendor: IBM Corporation
Java home: /opt/Spark/amit/ibmjava8sdk/sdk/jre
Default locale: en_US, platform encoding: UTF-8
OS name: "linux", version: "3.14.8-200.fc20.x86_64", arch: "amd64", family: "unix"

当我尝试使用老maven时，构建是成功的。ApacheMaven3.2的使用。X似乎正在解决这个问题。我用过-

Apache Maven **3.2.5** (12a6b3acb947671f09b81f49094c53f426d8cea1; 2014-12-14T12:29:23-05:00)
Maven home: /opt/Spark/amit/apache-maven/apache-maven-3.2.5
Java version: 1.8.0, vendor: IBM Corporation
Java home: /opt/Spark/amit/ibmjava8sdk/sdk/jre
Default locale: en_US, platform encoding: UTF-8
OS name: "linux", version: "3.14.8-200.fc20.x86_64", arch: "amd64", family: "unix"

希望这有帮助。

谢谢，阿米特