我试图通过将用户的RDD映射到模型的recommendProducts方法来从MatrixFactorizationModel中提取预测。这给了我一个MapPartitionsRDD。然后,尝试减少或以其他方式访问此RDD会给我一个Spark异常。._import org.apache.spark.mllib.recommendation.For more information, see
我让连接正常工作,但两天后,从表中提取数据出现了问题。星火的配置没什么改变..。org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
at org.apache.spark.rdd.RDD.iteratororg.apache.spark.rdd.RDD.computeOrReadCheckpoint
ClosureCleaner.scala:122) at org.apache.spark.SparkContext.clean(SparkContext.scala:2032) at org.apache.spark.rdd.RDD$$anonfun$map$1.apply(RDD.scala:314)org.apache.spark.rdd.RDD$$anonfun$map$1.apply(RDD.scala:313) at or