“JBlas 不是包或 apache 的成员”错误的解决方案是什么？

Question

我试图从这两个方面解决它（ and this) threads, and it worked for me on my own virtual machine but didn’t work in cloud dataproc. I did the same process for both of them. But there is still error in the cloud which is same as the error previously in a virtual machine. What should be done on the cloud to solve it?

Answer 1

您是否在这些链接的线程中完成了完整的 "git clone" 步骤？您是否需要实际修改 jblas？如果没有，您应该使用 --packages org.jblas:jblas:1.2.4 从 Maven Central 中拉出它们，而不使用 git clone 或 mvn install；以下在新的 Dataproc 集群上对我来说效果很好：

$ 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 提交需要 "packages" 的作业，那么由于 --packages 实际上是各种 Spark 启动器脚本中的语法糖，而不是被Spark 作业的属性，在这种情况下，您需要使用等效的 spark.jars.packages，如 .

“JBlas 不是包或 apache 的成员”错误的解决方案是什么？

What is the solution for the error, “JBlas is not a member of package or apache”?

virtual-machine

apache-spark

google-cloud-dataproc

spark-cloudant