Github user rxin commented on a diff in the pull request: https://github.com/apache/spark/pull/15813#discussion_r90766854 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/csv/CSVFileFormat.scala --- @@ -173,51 +179,37 @@ class CSVFileFormat extends TextBasedFileFormat with DataSourceRegister { } } - private def baseRdd( - sparkSession: SparkSession, - options: CSVOptions, - inputPaths: Seq[String]): RDD[String] = { - readText(sparkSession, options, inputPaths.mkString(",")) - } - - private def tokenRdd( - sparkSession: SparkSession, - options: CSVOptions, - header: Array[String], - inputPaths: Seq[String]): RDD[Array[String]] = { - val rdd = baseRdd(sparkSession, options, inputPaths) - // Make sure firstLine is materialized before sending to executors - val firstLine = if (options.headerFlag) findFirstLine(options, rdd) else null - CSVRelation.univocityTokenizer(rdd, firstLine, options) - } - /** * Returns the first line of the first non-empty file in path */ - private def findFirstLine(options: CSVOptions, rdd: RDD[String]): String = { + private def findFirstLine(options: CSVOptions, lines: Dataset[String]): String = { + import lines.sqlContext.implicits._ + val nonEmptyLines = lines.filter(length(trim($"value")) > 0) if (options.isCommentSet) { - val comment = options.comment.toString - rdd.filter { line => - line.trim.nonEmpty && !line.startsWith(comment) - }.first() + nonEmptyLines.filter(!$"value".startsWith(options.comment.toString)).first() } else { - rdd.filter { line => - line.trim.nonEmpty - }.first() + nonEmptyLines.first() } } private def readText( sparkSession: SparkSession, options: CSVOptions, - location: String): RDD[String] = { + inputPaths: Seq[String]): Dataset[String] = { if (Charset.forName(options.charset) == StandardCharsets.UTF_8) { - sparkSession.sparkContext.textFile(location) + sparkSession.baseRelationToDataFrame( + DataSource.apply( + sparkSession, + paths = inputPaths, + className = classOf[TextFileFormat].getName + ).resolveRelation(checkFilesExist = false)) + .select("value").as[String](Encoders.STRING) } else { val charset = options.charset - sparkSession.sparkContext - .hadoopFile[LongWritable, Text, TextInputFormat](location) + val rdd = sparkSession.sparkContext --- End diff -- cc @falaki Can you chime in?
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