[GitHub] spark pull request #16854: [WIP][SPARK-15463][SQL] Add an API to load DataFr...

[HyukjinKwon <gi...@git.apache.org>]

Github user HyukjinKwon commented on a diff in the pull request:

    https://github.com/apache/spark/pull/16854#discussion_r100229312
  
    --- Diff: sql/core/src/main/scala/org/apache/spark/sql/DataFrameReader.scala ---
    @@ -361,6 +362,41 @@ class DataFrameReader private[sql](sparkSession: SparkSession) extends Logging {
       }
     
       /**
    +   * Loads an `Dataset[String]` storing CSV rows and returns the result as a `DataFrame`.
    +   *
    +   * Unless the schema is specified using `schema` function, this function goes through the
    +   * input once to determine the input schema.
    +   *
    +   * @param csvDataset input Dataset with one CSV row per record
    +   * @since 2.2.0
    +   */
    +  def csv(csvDataset: Dataset[String]): DataFrame = {
    +    val parsedOptions: CSVOptions = new CSVOptions(extraOptions.toMap)
    --- End diff --
    
    Just to help review, there is a similar code path in https://github.com/apache/spark/blob/3d314d08c9420e74b4bb687603cdd11394eccab5/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/csv/CSVFileFormat.scala#L105-L125


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