Question

我正在使用“sparklyr”包来处理Spark with R.

在sparklyr中加载文件时出现以下错误：

我的代码是：

library(sparklyr)

sc <- spark_connect(master = "local", version = "2.0.1")

iris_tbl <- copy_to(sc, iris)

错误显示：

Error: java.lang.reflect.InvocationTargetException
    at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
    at sun.reflect.NativeConstructorAccessorImpl.newInstance(Unknown Source)
    at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(Unknown Source)
    at java.lang.reflect.Constructor.newInstance(Unknown Source)
    at org.apache.spark.sql.hive.client.IsolatedClientLoader.createClient(IsolatedClientLoader.scala:258)
    at org.apache.spark.sql.hive.HiveUtils$.newClientForMetadata(HiveUtils.scala:359)
    at org.apache.spark.sql.hive.HiveUtils$.newClientForMetadata(HiveUtils.scala:263)
    at org.apache.spark.sql.hive.HiveSharedState.metadataHive$lzycompute(HiveSharedState.scala:39)
    at org.apache.spark.sql.hive.HiveSharedState.metadataHive(HiveSharedState.scala:38)
    at org.apache.spark.sql.hive.HiveSharedState.externalCatalog$lzycompute(HiveSharedState.scala:46)

我试图找到/研究解决方案，但没有在任何其他网站上找到确认解决方案。

Answer 1

我在边缘节点的Cloudera Cluster中遇到了同样的错误。这似乎是某些容量问题，我还不清楚。以下mods使您的代码工作

config <- spark_config()
config$spark.yarn.keytab <- "<user.keytab>"
config$spark.yarn.principal <- "<user@host>"
config$spark.executor.cores <- 4
config$spark.executor.memory <- "20g"
config$spark.driver.memory <- "40g"
config$spark.yarn.driver.memoryOverhead <- "8g"
config$spark.yarn.executors.memoryOverhead <- "8g"
config$spark.kryoserializer.buffer.max <- "256m"
config$spark.dynamicAllocation.enabled <- "false"
config$spark.executor.instances <- 24
config$sparklyr.cores.local <- 4
sc <- spark_connect(master = "yarn-client", version = "1.6.0", config = config) 


iris_tbl <- copy_to(sc, iris)

希望这会有所帮助.... 但是，如果我运行

，我仍然遇到大型Hive表无法加载的问题

dbGetQuery(sc, 'select * from large_table limit 10')

在sparklyr中加载文件时出现Java错误

1 个答案: