显然,我正在尝试导入spark.implicits._,这是scala中的一个类中的对象。当我将其导入如下所示的方法时:
def f() = {
val spark = SparkSession()....
import spark.implicits._
}它工作得很好,但是我正在编写一个测试类,我想让这个导入对我尝试过的所有测试都可用:
class SomeSpec extends FlatSpec with BeforeAndAfter {
var spark:SparkSession = _
//This won't compile
import spark.implicits._
before {
spark = SparkSession()....
//This won't either
import spark.implicits._
}
"a test" should "run" in {
//Even this won't compile (although it already looks bad here)
import spark.implicits._
//This was the only way i could make it work
val spark = this.spark
import spark.implicits._
}
}这不仅看起来很糟糕,而且我不想每次测试都这样做。什么是“正确”的方法?
发布于 2016-08-27 03:29:30
您可以执行与Spark测试套件中类似的操作。例如,这是可行的(受SQLTestData启发):
class SomeSpec extends FlatSpec with BeforeAndAfter { self =>
var spark: SparkSession = _
private object testImplicits extends SQLImplicits {
protected override def _sqlContext: SQLContext = self.spark.sqlContext
}
import testImplicits._
before {
spark = SparkSession.builder().master("local").getOrCreate()
}
"a test" should "run" in {
// implicits are working
val df = spark.sparkContext.parallelize(List(1,2,3)).toDF()
}
}或者,您也可以直接使用诸如SharedSQLContext之类的内容,它提供了一个testImplicits: SQLImplicits,即:
class SomeSpec extends FlatSpec with SharedSQLContext {
import testImplicits._
// ...
}发布于 2016-11-06 11:36:28
我认为SparkSession.scala文件中的GitHub代码可以给你一个很好的提示:
/**
* :: Experimental ::
* (Scala-specific) Implicit methods available in Scala for converting
* common Scala objects into [[DataFrame]]s.
*
* {{{
* val sparkSession = SparkSession.builder.getOrCreate()
* import sparkSession.implicits._
* }}}
*
* @since 2.0.0
*/
@Experimental
object implicits extends SQLImplicits with Serializable {
protected override def _sqlContext: SQLContext = SparkSession.this.sqlContext
}这里"spark.implicits._“中的"spark”就是我们创建的sparkSession对象。
Here是另一个参考!
发布于 2017-07-28 03:27:04
我只实例化了SparkSession和之前使用的"import implicits“。
@transient lazy val spark = SparkSession
.builder()
.master("spark://master:7777")
.getOrCreate()
import spark.implicits._https://stackoverflow.com/questions/39151189
复制相似问题