问用于单元测试的Spark scala模拟spark.implicits
EN

Stack Overflow用户

提问于 2020-10-26 14:46:52

回答 1查看 873关注 0票数 2

在尝试使用Spark和Scala简化单元测试时，我使用了scala-test和mockito-scala (和mockito糖)。这只是让你做这样的事情：

val sparkSessionMock = mock[SparkSession]

然后你通常可以用“何时”和“验证”来完成所有的魔术。

但是，如果您有一些实现需要导入

import spark.implicits._

在它的代码中，单元测试的简单性似乎消失了(或者至少我还没有找到解决这个问题的最合适的方法)。

我最终得到了这个错误：

org.mockito.exceptions.verification.SmartNullPointerException: 
You have a NullPointerException here:
-> at ...
because this method call was *not* stubbed correctly:
-> at scala.Option.orElse(Option.scala:289)
sparkSession.implicits();

由于输入问题，简单地模拟SparkSession中“隐含的”对象上的调用是没有帮助的：

val implicitsMock = mock[SQLImplicits]
when(sparkSessionMock.implicits).thenReturn(implicitsMock)

不会让你通过，因为它说它需要你的mock中的对象类型：

require: sparkSessionMock.implicits.type
found: implicitsMock.type

请不要告诉我我应该做SparkSession.builder.getOrCreate()...从那时起，这不再是一个单元测试，而是一个更重的集成测试。

(编辑)：这是一个完整的可重现的例子：

import org.apache.spark.sql._
import org.mockito.Mockito.when
import org.scalatest.{ FlatSpec, Matchers }
import org.scalatestplus.mockito.MockitoSugar

case class MyData(key: String, value: String)

class ClassToTest()(implicit spark: SparkSession) {
    import spark.implicits._

    def read(path: String): Dataset[MyData] = 
         spark.read.parquet(path).as[MyData]
}

class SparkMock extends FlatSpec with Matchers with MockitoSugar {

     it should "be able to mock spark.implicits" in {
         implicit val sparkMock: SparkSession = mock[SparkSession]
         val implicitsMock = mock[SQLImplicits]
         when(sparkMock.implicits).thenReturn(implicitsMock)
         val readerMock = mock[DataFrameReader]
         when(sparkMock.read).thenReturn(readerMock)
         val dataFrameMock = mock[DataFrame]
         when(readerMock.parquet("/some/path")).thenReturn(dataFrameMock)
         val dataSetMock = mock[Dataset[MyData]]
         implicit val testEncoder: Encoder[MyData] = Encoders.product[MyData]
         when(dataFrameMock.as[MyData]).thenReturn(dataSetMock)

         new ClassToTest().read("/some/path/") shouldBe dataSetMock
    }
 }

unit-testing

apache-spark

mockito

implicit

scala

回答 1

Stack Overflow用户

回答已采纳

发布于 2020-10-29 23:46:48

你不能嘲笑暗示。隐含在编译时被解决，而模拟在运行时发生(运行时反射，通过Byte Buddy的字节码操作)。你不能在编译时导入那些只会在运行时被模仿的隐含内容。你必须手动解决隐式问题(原则上，如果你在运行时再次启动编译器，你可以在运行时解决隐式问题，但这将更难1 2 3 4)。

试一试

class ClassToTest()(implicit spark: SparkSession, encoder: Encoder[MyData]) {
  def read(path: String): Dataset[MyData] = 
    spark.read.parquet(path).as[MyData]
}

class SparkMock extends AnyFlatSpec with Matchers with MockitoSugar {

  it should "be able to mock spark.implicits" in {
    implicit val sparkMock: SparkSession = mock[SparkSession]
    val readerMock = mock[DataFrameReader]
    when(sparkMock.read).thenReturn(readerMock)
    val dataFrameMock = mock[DataFrame]
    when(readerMock.parquet("/some/path")).thenReturn(dataFrameMock)
    val dataSetMock = mock[Dataset[MyData]]
    implicit val testEncoder: Encoder[MyData] = Encoders.product[MyData]
    when(dataFrameMock.as[MyData]).thenReturn(dataSetMock)

    new ClassToTest().read("/some/path") shouldBe dataSetMock
  }
}

//[info] SparkMock:
//[info] - should be able to mock spark.implicits
//[info] Run completed in 2 seconds, 727 milliseconds.
//[info] Total number of tests run: 1
//[info] Suites: completed 1, aborted 0
//[info] Tests: succeeded 1, failed 0, canceled 0, ignored 0, pending 0
//[info] All tests passed.