SparkContext 是 Spark 中元⽼级的 API ，从0.x.x 版本就已经存在。有过 Spark 使⽤经验会感觉 SparkContext 已经太⽼了，然后 SparkContext 始终跟随着 Spark 的迭代不断向前。SparkContext 内部虽然已经发⽣了很⼤的变化，有些内部组件已经废弃，有些组件已经优化，还有⼀些新的组件不断加⼊，不断...
// Environment variables to pass to our executors. private[spark] val executorEnvs = HashMap[String, String]() // 变量处理 // 包名:org.apache.spark // 类名:SparkContext // Convert java options to env vars as a work around // since we can't set env vars directly in sbt. for { ...
A SparkContext represents the connection to a Spark cluster, and can be used to create RDDs, accumulators and broadcast variables on that cluster. Only one SparkContext may be active per JVM. You must stop() the active SparkContext before creating a new one. This limitation may eventually ...
// Environment variables to pass to our executors. private[spark] val executorEnvs = HashMap[String, String]() // 变量处理 // 包名:org.apache.spark // 类名:SparkContext // Convert java options to env vars as a work around // since we can't set env vars directly in sbt. for { ...
the very end you can use `.take(5)` to bring the results to the central node for printing.# The code for reading the file and splitting it into sentences is shown below:# In[1]:#path = '../Data/Moby-Dick.txt'path ='/data/Moby-Dick.txt'textRDD = sc.newAPIHadoopFile(path,'or...