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

    https://github.com/apache/spark/pull/16928#discussion_r102683691
  
    --- Diff: 
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/csv/UnivocityParser.scala
 ---
    @@ -202,21 +212,41 @@ private[csv] class UnivocityParser(
           }
           numMalformedRecords += 1
           None
    -    } else if (options.failFast && schema.length != tokens.length) {
    +    } else if (options.failFast && dataSchema.length != tokens.length) {
           throw new RuntimeException(s"Malformed line in FAILFAST mode: " +
             s"${tokens.mkString(options.delimiter.toString)}")
         } else {
    -      val checkedTokens = if (options.permissive && schema.length > 
tokens.length) {
    -        tokens ++ new Array[String](schema.length - tokens.length)
    -      } else if (options.permissive && schema.length < tokens.length) {
    -        tokens.take(schema.length)
    +      val checkedTokens = if (options.permissive) {
    +        // If a length of parsed tokens is not equal to expected one, it 
makes the length the same
    +        // with the expected. If the length is shorter, it adds extra 
tokens in the tail.
    +        // If longer, it drops extra tokens.
    +        val lengthSafeTokens = if (dataSchema.length > tokens.length) {
    +          tokens ++ new Array[String](dataSchema.length - tokens.length)
    +        } else if (dataSchema.length < tokens.length) {
    +          tokens.take(dataSchema.length)
    +        } else {
    +          tokens
    +        }
    +
    +        // If we need to handle corrupt fields, it adds an extra token to 
skip a field for malformed
    +        // strings when loading parsed tokens into a resulting `row`.
    +        corruptFieldIndex.map { corrFieldIndex =>
    +          val (front, back) = lengthSafeTokens.splitAt(corrFieldIndex)
    +          front ++ new Array[String](1) ++ back
    --- End diff --
    
    We value on the committer's opinion. I am fine if we revert. I personally 
prefer 1) revert this change then if this sounds not good.


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