错误的解决方案是什么，“JBlas不是包或apache的成员”？

Question

我试图通过这两个线程( this和this)来解决这个问题，它在我自己的虚拟机上工作，但在云dataproc中没有工作。我对他们俩都做了同样的处理。但是云中仍然存在错误，这与以前虚拟机中的错误相同。在云上应该做些什么来解决这个问题？

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Answer 1

您在这些链接线程中执行了完整的"git克隆“步骤吗？你真的需要修改jblas吗？如果不是，您应该使用--packages org.jblas:jblas:1.2.4将它们从maven中心取出，而不使用git clone或mvn install；在一个新的Dataproc集群上，下面的内容对我来说很好：

$ spark-shell --packages org.jblas:jblas:1.2.4
Ivy Default Cache set to: /home/dhuo/.ivy2/cache
The jars for the packages stored in: /home/dhuo/.ivy2/jars
:: loading settings :: url = jar:file:/usr/lib/spark/jars/ivy-2.4.0.jar!/org/apache/ivy/core/settings/ivysettings.xml
org.jblas#jblas added as a dependency
:: resolving dependencies :: org.apache.spark#spark-submit-parent;1.0
  confs: [default]
  found org.jblas#jblas;1.2.4 in central
downloading https://repo1.maven.org/maven2/org/jblas/jblas/1.2.4/jblas-1.2.4.jar ...
  [SUCCESSFUL ] org.jblas#jblas;1.2.4!jblas.jar (605ms)
:: resolution report :: resolve 713ms :: artifacts dl 608ms
  :: modules in use:
  org.jblas#jblas;1.2.4 from central in [default]
  ---------------------------------------------------------------------
  |                  |            modules            ||   artifacts   |
  |       conf       | number| search|dwnlded|evicted|| number|dwnlded|
  ---------------------------------------------------------------------
  |      default     |   1   |   1   |   1   |   0   ||   1   |   1   |
  ---------------------------------------------------------------------
:: retrieving :: org.apache.spark#spark-submit-parent
  confs: [default]
  1 artifacts copied, 0 already retrieved (10360kB/29ms)
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
ivysettings.xml file not found in HIVE_HOME or HIVE_CONF_DIR,/etc/hive/conf.dist/ivysettings.xml will be used
Spark context Web UI available at http://10.240.2.221:4040
Spark context available as 'sc' (master = yarn, app id = application_1501548510890_0005).
Spark session available as 'spark'.
Welcome to
      ____              __
     / __/__  ___ _____/ /__
    _\ \/ _ \/ _ `/ __/  '_/
   /___/ .__/\_,_/_/ /_/\_\   version 2.2.0
      /_/

Using Scala version 2.11.8 (OpenJDK 64-Bit Server VM, Java 1.8.0_131)
Type in expressions to have them evaluated.
Type :help for more information.

scala> import org.jblas.DoubleMatrix
import org.jblas.DoubleMatrix

scala> :quit

此外，如果您需要通过Dataproc的作业提交API来提交需要“包”的作业，那么由于--packages实际上是各种星火启动脚本中的语法糖，而不是Spark作业的属性，所以在这种情况下，您需要使用等效的spark.jars.packages，比如explained in this StackOverflow answer。