scala

Get the first elements (take function) of a DStream

拈花ヽ惹草 提交于 2020-12-13 09:34:27
问题 I look for a way to retrieve the first elements of a DStream created as: val dstream = ssc.textFileStream(args(1)).map(x => x.split(",").map(_.toDouble)) Unfortunately, there is no take function (as on RDD) on a dstream // dstream.take(2) !!! Could someone has any idea on how to do it ?! thanks 回答1: You can use transform method in the DStream object then take n elements of the input RDD and save it to a list, then filter the original RDD to be contained in this list. This will return a new

IncompatibleClassChangeError in Scala Spring-Boot application

喜欢而已 提交于 2020-12-13 05:40:48
问题 I am currently experiencing a weird exception when testing my Scala - Spring Boot application with JUnit Vintage. java.lang.IncompatibleClassChangeError: org.myapp.SampleWebApplication and org.myapp.SampleWebApplication$delayedInit$body disagree on InnerClasses attribute at java.lang.Class.getDeclaringClass0(Native Method) at java.lang.Class.getDeclaringClass(Class.java:1235) at java.lang.Class.getEnclosingClass(Class.java:1277) at java.lang.Class.getSimpleBinaryName(Class.java:1443) at java

IncompatibleClassChangeError in Scala Spring-Boot application

对着背影说爱祢 提交于 2020-12-13 05:40:42
问题 I am currently experiencing a weird exception when testing my Scala - Spring Boot application with JUnit Vintage. java.lang.IncompatibleClassChangeError: org.myapp.SampleWebApplication and org.myapp.SampleWebApplication$delayedInit$body disagree on InnerClasses attribute at java.lang.Class.getDeclaringClass0(Native Method) at java.lang.Class.getDeclaringClass(Class.java:1235) at java.lang.Class.getEnclosingClass(Class.java:1277) at java.lang.Class.getSimpleBinaryName(Class.java:1443) at java

IncompatibleClassChangeError in Scala Spring-Boot application

北城余情 提交于 2020-12-13 05:40:03
问题 I am currently experiencing a weird exception when testing my Scala - Spring Boot application with JUnit Vintage. java.lang.IncompatibleClassChangeError: org.myapp.SampleWebApplication and org.myapp.SampleWebApplication$delayedInit$body disagree on InnerClasses attribute at java.lang.Class.getDeclaringClass0(Native Method) at java.lang.Class.getDeclaringClass(Class.java:1235) at java.lang.Class.getEnclosingClass(Class.java:1277) at java.lang.Class.getSimpleBinaryName(Class.java:1443) at java

use a partition to decide if a flow should go to next flow and if not have the stream pick it up next tick from the beginning (Akka)

怎甘沉沦 提交于 2020-12-13 04:57:05
问题 I want to create a Flow that have 4 main steps (FlowShapes), and after the first and the second I want to have partition that will decide if there is a reason to go to the next, and if not to sink it so the stream will pick it up later and start from beginning, but im not sure this is the way, cause I just used Sink.ignore, it looks like this: def mainFlow: Flow[MyGraphElement, MyGraphElement, NotUsed] = Flow.fromGraph(GraphDSL.create() { implicit builder => // FlowShape's // those flow

use a partition to decide if a flow should go to next flow and if not have the stream pick it up next tick from the beginning (Akka)

若如初见. 提交于 2020-12-13 04:57:04
问题 I want to create a Flow that have 4 main steps (FlowShapes), and after the first and the second I want to have partition that will decide if there is a reason to go to the next, and if not to sink it so the stream will pick it up later and start from beginning, but im not sure this is the way, cause I just used Sink.ignore, it looks like this: def mainFlow: Flow[MyGraphElement, MyGraphElement, NotUsed] = Flow.fromGraph(GraphDSL.create() { implicit builder => // FlowShape's // those flow

Why spark (scala API) agg function takes expr and exprs arguments?

会有一股神秘感。 提交于 2020-12-13 03:39:23
问题 Spark API RelationalGroupedDataset has a function agg : @scala.annotation.varargs def agg(expr: Column, exprs: Column*): DataFrame = { toDF((expr +: exprs).map { case typed: TypedColumn[_, _] => typed.withInputType(df.exprEnc, df.logicalPlan.output).expr case c => c.expr }) } Why does it take two separate arguments? Why can't it take just exprs: Column* ? Has someone an implicit function that takes one argument? 回答1: This is to make sure that you specify at least one argument. Pure varargs

Why spark (scala API) agg function takes expr and exprs arguments?

孤者浪人 提交于 2020-12-13 03:37:49
问题 Spark API RelationalGroupedDataset has a function agg : @scala.annotation.varargs def agg(expr: Column, exprs: Column*): DataFrame = { toDF((expr +: exprs).map { case typed: TypedColumn[_, _] => typed.withInputType(df.exprEnc, df.logicalPlan.output).expr case c => c.expr }) } Why does it take two separate arguments? Why can't it take just exprs: Column* ? Has someone an implicit function that takes one argument? 回答1: This is to make sure that you specify at least one argument. Pure varargs

How to compare two StructType sharing same contents?

半城伤御伤魂 提交于 2020-12-13 03:31:25
问题 It seems like StructType preserves order, so two StructType containing same StructField s are not considered equivalent. For example: val st1 = StructType( StructField("ii",StringType,true) :: StructField("i",StringType,true) :: Nil) val st2 = StructType( StructField("i",StringType,true) :: StructField("ii",StringType,true) :: Nil) println(st1 == st2) returns false even though they both have StructField("i",StringType,true) and StructField("ii",StringType,true) , just in different order. I

How to compare two StructType sharing same contents?

北城以北 提交于 2020-12-13 03:30:24
问题 It seems like StructType preserves order, so two StructType containing same StructField s are not considered equivalent. For example: val st1 = StructType( StructField("ii",StringType,true) :: StructField("i",StringType,true) :: Nil) val st2 = StructType( StructField("i",StringType,true) :: StructField("ii",StringType,true) :: Nil) println(st1 == st2) returns false even though they both have StructField("i",StringType,true) and StructField("ii",StringType,true) , just in different order. I