hdfs.delete(new Path("../Data/hdfsSaveNoPartition/"),true) res26: Boolean = true 删除分区数据 删除分区的逻辑比较简单,即把需删除分区的完整路径循环删除即可 查看分区数据 HdfsCheckPath.printPathDetail(spark,"../Data/hdfsSavePartition","directory") This path Already exist! ---Directory: file:...
import org.apache.spark.api.java.function.FilterFunction class MyFilterFunction extends FilterFunction[Row] { override def call(value: Row): Boolean = { println(value.getString(2)) println(value.getList(3)) value.getList(3).toString.contains("1") && "hefei".equals(value.getString(2)) } ...
("integer", IntegerType), StructField("double", DoubleType), StructField("boolean", BooleanType), StructField("string", StringType) )) def integerGen = new Column("integer", Gen.choose(-100, 100)) def doubleGen = new Column("double", Gen.choose(-100.0, 100.0)) def stringGen = ...
Literal(false,BooleanType) } Seq(sumExpr, isEmptyExpr) }else{ //If shouldTrackIsEmpty is false, the initial value of `sum` is null, which indicates no value. //We need `coalesce(sum, zero)` to start summing values. And we need an outer `coalesce` ...
}defrm( path :String, recursive :Boolean) :Unit= {if( hadoop.exists(newPath( path ) ) ) { println("deleting file : "+ path ) hadoop.delete(newPath( path ), recursive ) }else{ println("File/Directory"+ path +" does not exist") ...
在Scala中,从null到0是指将一个变量的初始值从null更改为0。Scala是一种多范式编程语言,它结合了面向对象编程和函数式编程的特性。在Scala中,null是一个特殊的值,表示一个变量没有...
在本文中,我们将演示如何在Scala的集合上使用exists函数,该函数适用于Scala的可变(Mutable)和不可变(Immutable)集合。...Scala文档中exists函数的定义如下: def exists(p: (A) ⇒ Boolean): Boolean exists函数是IterableLike特质(trait)的一个成员。...示例 1、如何初始化甜甜圈序列(a Sequence of donuts):下面...
batchDF.coalesce(1).write.parquet("tweets/batch="+ time.milliseconds) batchDF.unpersist() }) ssc.start() ssc.awaitTermination() spark.stop() }defextract(status:Status): (Long,String,String,Boolean,Option[Place],Option[GeoLocation]) = { ...
( _ssc: StreamingContext, host: String, port: Int, storageLevel: StorageLevel, enableDecompression: Boolean ) extends ReceiverInputDStream[SparkFlumeEvent](_ssc) { override def getReceiver(): Receiver[SparkFlumeEvent] = { new FlumeReceiver(host, port, storageLevel, enableDecompression) } } ...
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets. - deequ/src/main/scala/com/amazon/deequ/checks/Check.scala at master · awslabs/deequ