Github user cloud-fan commented on a diff in the pull request:

    https://github.com/apache/spark/pull/16550#discussion_r95588520
  
    --- Diff: 
common/unsafe/src/main/java/org/apache/spark/unsafe/types/UTF8String.java ---
    @@ -835,6 +835,185 @@ public UTF8String translate(Map<Character, Character> 
dict) {
         return fromString(sb.toString());
       }
     
    +  private int getDigit(byte b) {
    +    if (b >= '0' && b <= '9') {
    +      return b - '0';
    +    }
    +    throw new NumberFormatException(toString());
    +  }
    +
    +  /**
    +   * Parses this UTF8String to long.
    +   *
    +   * Note that, in this method we accumulate the result in negative 
format, and convert it to
    +   * positive format at the end, if this string is not started with '-'. 
This is because min value
    +   * is bigger than max value in digits, e.g. Integer.MAX_VALUE is 
'2147483647' and
    +   * Integer.MIN_VALUE is '-2147483648'.
    +   *
    +   * These codes are mostly copied from LazyLong.parseLong in Hive.
    +   */
    +  public long toLong() {
    +    if (numBytes == 0) {
    +      throw new NumberFormatException("Empty string!");
    +    }
    +
    +    byte b = getByte(0);
    +    final boolean negative = b == '-';
    +    int offset = 0;
    +    if (negative || b == '+') {
    +      offset++;
    +      if (numBytes == 1) {
    +        throw new NumberFormatException(toString());
    +      }
    +    }
    +
    +    final byte separator = '.';
    +    final long stopValue = Long.MIN_VALUE / 10;
    +    long result = 0;
    +
    +    while (offset < numBytes) {
    +      b = getByte(offset);
    +      offset++;
    +      if (b == separator) {
    +        // We allow decimals and will return a truncated integral in that 
case.
    +        // Therefore we won't throw an exception here (checking the 
fractional
    +        // part happens below.)
    +        break;
    +      }
    +
    +      int digit = getDigit(b);
    +      // We are going to process the new digit and accumulate the result. 
However, before doing
    +      // this, if the result is already smaller than the 
stopValue(Long.MIN_VALUE / 10), then
    +      // result * 10 will definitely be smaller than minValue, and we can 
stop and throw exception.
    +      if (result < stopValue) {
    +        throw new NumberFormatException(toString());
    +      }
    +
    +      result = result * 10 - digit;
    +      // Since the previous result is less than or equal to 
stopValue(Long.MIN_VALUE / 10), we can
    +      // just use `result > 0` to check overflow. If result overflows, we 
should stop and throw
    +      // exception.
    +      if (result > 0) {
    +        throw new NumberFormatException(toString());
    +      }
    +    }
    +
    +    // This is the case when we've encountered a decimal separator. The 
fractional
    +    // part will not change the number, but we will verify that the 
fractional part
    +    // is well formed.
    +    while (offset < numBytes) {
    +      if (getDigit(getByte(offset)) == -1) {
    +        throw new NumberFormatException(toString());
    +      }
    +      offset++;
    +    }
    +
    +    if (!negative) {
    +      result = -result;
    +      if (result < 0) {
    +        throw new NumberFormatException(toString());
    +      }
    +    }
    +
    +    return result;
    +  }
    +
    +  /**
    +   * Parses this UTF8String to int.
    +   *
    +   * Note that, in this method we accumulate the result in negative 
format, and convert it to
    +   * positive format at the end, if this string is not started with '-'. 
This is because min value
    +   * is bigger than max value in digits, e.g. Integer.MAX_VALUE is 
'2147483647' and
    +   * Integer.MIN_VALUE is '-2147483648'.
    +   *
    +   * These codes are mostly copied from LazyInt.parseInt in Hive.
    +   */
    +  public int toInt() {
    --- End diff --
    
    Hive also duplicates the code for parsing to long and int, I'm not sure how 
to remove the duplication without hurting the performance.


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