xsbt.CompilerInterface 2 Unable to find: dev/checkstyle-suppressions.xml 3 Unable to find configuration file at location scalastyle-config.xml...pl :spark-kubernetes_2.12 clean install -DskipTests 3 Unable to find configuration file at location scalastyle-config.xml
String]): Unit = { val appArgs = new SparkSubmitArguments(args) if (appArgs.verbose) { // scalastyle...:off println printStream.println(appArgs) // scalastyle:on println } appArgs.action...if (e.getStackTrace().length == 0) { // scalastyle:off println printStream.println...(s"ERROR: ${e.getClass().getName()}: ${e.getMessage()}") // scalastyle:on println.../bin/spark-submit with \"--master spark://host:port\"") } // scalastyle:on println val conf
参数进行初始化 val appArgs = new SparkSubmitArguments(args) //判断参数是否有效合法 if (appArgs.verbose) { // scalastyle...:off println printStream.println(appArgs) // scalastyle:on println } //判断执行类别 appArgs.action...if (e.getStackTrace().length == 0) { // scalastyle:off println printStream.println...(s"ERROR: ${e.getClass().getName()}: ${e.getMessage()}") // scalastyle:on println
Spark2.x学习笔记：17、Spark Streaming之HdfsWordCount 学习 17.1 HdfsWordCount 源码解析 // scalastyle:off println package..., 1)).reduceByKey(_ + _) wordCounts.print() ssc.start() ssc.awaitTermination() } } // scalastyle
String]): Unit = { val appArgs = new SparkSubmitArguments(args) if (appArgs.verbose) { // scalastyle...:off println printStream.println(appArgs) // scalastyle:on println } appArgs.action
> Unit = { (rdd: RDD[T], time: Time) => { val firstNum = rdd.take(num + 1) // scalastyle...println() // scalastyle:on println } } foreachRDD(context.sparkContext.clean(foreachFunc
// scalastyle:off println package org.apache.spark.examples.streaming import org.apache.spark.SparkConf...//启动计算作业 ssc.start() //等待结束，什么时候结束作业，即触发什么条件会让作业执行结束 ssc.awaitTermination() } } // scalastyle
._ // scalastyle:off line.size.limit @ExpressionDescription( usage = """ _FUNC_(*) - Returns the...VALUES (NULL), (5), (5), (10) AS tab(col); 2 """, group = "agg_funcs", since = "1.0.0") // scalastyle
} override def checkpoint(): Unit = { } override def localCheckpoint(): this.type = this // scalastyle...// scalastyle:on } 可见，它将RDD类中doCheckpoint()、checkpoint()和localCheckpoint()三个方法都覆写成了空的，因为CheckpointRDD...，也必须像上面代码一样，用scalastyle:off关闭静态检查。 普通RDD的compute()方法用于计算分区数据，在CheckpointRDD中，它的作用就是从检查点恢复数据了。
String]): Unit = { val appArgs = new SparkSubmitArguments(args) if (appArgs.verbose) { // scalastyle...:off println printStream.println(appArgs) // scalastyle:on println } // 在这里进行操作的匹配
SessionUpdate( id: String, durationMs: Long, numEvents: Int, expired: Boolean) // scalastyle
Time) => Unit = { (rdd: RDD[T], time: Time) => { val firstNum = rdd.take(num + 1) // scalastyle...println() // scalastyle:on println } } foreachRDD(context.sparkContext.clean(foreachFunc
将Flink源代码目录下的tools/maven/scalastyle_config.xml放置到Flink 源代码的.idea目录下，即完成Scala部分CheckStyle的配置。
spark-2.1.0]# ls appveyor.yml common data external licenses NOTICE R scalastyle-config.xml
examples graphx launcher licenses mllib-local pom.xml python README.md resource-managers scalastyle-config.xml
headOption().map { case Some(result) => result case None => null.asInstanceOf[T] // scalastyle
. */ // scalastyle:off println package com.spark.mllib import org.apache.log4j.
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