learning scala write to file scala 写文件功能: scala> import java.io.PrintWriter import java.io.PrintWriter scala> val outputFile = new PrintWriter("text.txt") outputFile: java.io.PrintWriter = java.io.PrintWriter@213c812a scala> outputFile.println("hello panzidong") scala> outputFile.print(...
out.write(i.toString) out.close() } //文件写入 val writer = new PrintWriter(new File("D:\\saveTextTitle.txt")) for(i <- 1 to 10) writer.println(i)// 这里是自动换行 不用再加\n 切记切记 writer.close() } }
object DataCollector { def writeDataToFile(data: String, filename: String): Unit = { val writer = new BufferedWriter(new FileWriter(filename, true)) writer.write(s"${LocalDateTime.now}: $data\n") writer.close() } def main(args: Array[String]): Unit = { val cpuLoad = SystemMonitor....
println:会按行进行保存文件 write:直接写入,不会换行 importjava.io.{File,PrintWriter} 案例——println方法 objectreadDemo{defmain(args:Array[String]):Unit={importjava.io.{File,PrintWriter}valwrite=newPrintWriter(newFile("d://Hello.txt"))//输入文件名称for(i<-1to100){write.println(i)}write.cl...
fromFile("src/main/scala/ScalaStudy/chapter02/test.txt").foreach(print) //(2)将数据写入文件 val writer = new PrintWriter(new File("文件路径/outputtest.txt")) writer.write("hi,my name is wq") writer.close() 二、数据类型 1. 整数类型 val a1: Byte = 127 //Byte正最大区间(8位) ...
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针对这一问题,Spark Streaming 设计了一个规则,即 Spark Streaming 预写日志规则(Write Ahead Log,WAL),每读取一批数据,会写一个 WAL 文件,在 WAL文件中,读了多少条就写多少条,WAL 文件存储于HDFS 上。假设 RDD 中有 100 条数据,那么 WAL 文件中也有 100 条数据,此时如果 Spark Streaming 挂掉,那么...
"akka.persistence.dispatchers.default-replay-dispatcher" # Storage location of LevelDB files. dir = "journal" # Use fsync on write fsync = on # Verify checksum on read. checksum = off # Native LevelDB (via JNI) or LevelDB Java port native = on } # Shared LevelDB journal plugin (for...
val fis = new FileInputStream(new File("C://Users//Administrator//Desktop//test.txt"))val fos = new FileOutputStream(new File("C://Users//Administrator//Desktop//test3.txt"))val buf = new Array[Byte](1024)fis.read(buf)fos.write(buf, 0, 1024)fis.close()fos.close() ...
* The batch write must be atomic i.e. either all persistent messages in the batch * are written or none. */ def asyncWriteMessages(messages: immutable.Seq[PersistentRepr]): Future[Unit] /** * Plugin API: asynchronously writes a batch of delivery confirmations to the journal. */ @...