Github user sujith71955 commented on a diff in the pull request:

    https://github.com/apache/incubator-carbondata/pull/122#discussion_r77332892
  
    --- Diff: 
integration/spark/src/main/scala/org/apache/carbondata/spark/util/GlobalDictionaryUtil.scala
 ---
    @@ -588,30 +588,59 @@ object GlobalDictionaryUtil extends Logging {
                                          allDictionaryPath: String) = {
         var allDictionaryRdd: RDD[(String, Iterable[String])] = null
         try {
    -      // read local dictionary file, and spilt (columnIndex, columnValue)
    -      val basicRdd = sqlContext.sparkContext.textFile(allDictionaryPath)
    -        .map(x => {
    +      // parse record and validate record
    +      def parseRecord(x: String, accum: Accumulator[Int]) : (String, 
String) = {
             val tokens = x.split("" + CSVWriter.DEFAULT_SEPARATOR)
    -        if (tokens.size != 2) {
    -          logError("Read a bad dictionary record: " + x)
    -        }
    -        var columnName: String = CarbonCommonConstants.DEFAULT_COLUMN_NAME
    +        var columnName: String = ""
             var value: String = ""
    -        try {
    -          columnName = csvFileColumns(tokens(0).toInt)
    -          value = tokens(1)
    -        } catch {
    -          case ex: Exception =>
    -            logError("Reset bad dictionary record as default value")
    +        // such as "," , "", throw ex
    +        if (tokens.size == 0) {
    +          logError("Read a bad dictionary record: " + x)
    +          accum += 1
    +        } else if (tokens.size == 1) {
    +          // such as "1", "jone", throw ex
    +          if (x.contains(",") == false) {
    +            accum += 1
    +          } else {
    +            try {
    +              columnName = csvFileColumns(tokens(0).toInt)
    +            } catch {
    +              case ex: Exception =>
    +                logError("Read a bad dictionary record: " + x)
    +                accum += 1
    +            }
    +          }
    +        } else {
    +          try {
    +            columnName = csvFileColumns(tokens(0).toInt)
    +            value = tokens(1)
    +          } catch {
    +            case ex: Exception =>
    +              logError("Read a bad dictionary record: " + x)
    +              accum += 1
    +          }
             }
             (columnName, value)
    -      })
    +      }
     
    +      val accumulator = sqlContext.sparkContext.accumulator(0)
    --- End diff --
    
    return the accumulator by updating and let caller validate and throw 
exception


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