scala-sparkML学习笔记：struct type tinyint size int indices array
scala-sparkML学习笔记：struct type tinyint size int indices array
MachineLP
发布于 2019-11-03 21:22:15
发布于 2019-11-03 21:22:15
完整题目：scala-sparkML学习笔记：struct type tinyint size int indices array int values array double type
错误类型：
CSV data source does not support struct<type:tinyint,size:int,indices:array<int>,values:array<double>> data type.
predictPredict.select("user_id", "probability", "label").coalesce(1)
.write.format("com.databricks.spark.csv").mode("overwrite")
.option("header", "true").option("delimiter","\t").option("nullValue", Const.NULL)
.save(fileName.predictResultFile + day) predictPredict选择probability列保存会出现'`probability`' is of struct<type:tinyint,size:int,indices:array<int>,values:array<double>> type 这个错误， 因为是DenseVector不可以直接报保存到csv文件， 可以有下面两种解决方法： （主要思想是选择DenseVector中预测为1的那一列，类型为double）
/*
import org.apache.spark.sql.SparkSession
val spark = SparkSession.builder().config("spark.debug.maxToStringFields", 500).enableHiveSupport.appName("QDSpark Pipeline").getOrCreate()
import spark.implicits._
val probabilityDataFrame = predictPredict.select("user_id", "probability", "label").rdd.map( row => (row.getInt(0), row.getAs[DenseVector](1)(1), row.getDouble(2)) ).toDF
probabilityDataFrame.select("_1", "_2", "_3").coalesce(1)
.write.format("com.databricks.spark.csv").mode("overwrite")
.option("header", "true").option("delimiter","\t").option("nullValue", Const.NULL)
.save(fileName.predictResultFile + day)
*/
val stages = new ArrayBuffer[StructField]()
stages += StructField("user_id", IntegerType, true)
stages += StructField("probability", DoubleType, true)
stages += StructField("label", DoubleType, true)
val schema = new StructType( stages.toArray )
val probabilityNewRDD = predictPredict.select("user_id", "probability", "label").rdd.map( row => Row(row.getInt(0), row.getAs[DenseVector](1)(1), row.getDouble(2)) )
val probabilityDataFrame = SparkConfTrait.spark.createDataFrame(probabilityNewRDD, schema)
probabilityDataFrame.select("user_id", "probability", "label").coalesce(1)
.write.format("com.databricks.spark.csv").mode("overwrite")
.option("header", "true").option("delimiter","\t").option("nullValue", Const.NULL)
.save(fileName.predictResultFile + day) 本文参与 腾讯云自媒体分享计划，分享自作者个人站点/博客。
原始发表：2019-10-29 ，如有侵权请联系 cloudcommunity@tencent.com 删除
评论
登录后参与评论
推荐阅读