Package org.apache.hadoop.hive.serde2.typeinfo

Examples of org.apache.hadoop.hive.serde2.typeinfo.DecimalTypeInfo

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            break;
          case VARCHAR:
            tInfo = new VarcharTypeInfo(gen.getHCatPrecision());
            break;
          case DECIMAL:
            tInfo = new DecimalTypeInfo(gen.getHCatPrecision(),
            gen.getHCatScale());
            break;
          default:
            tInfo = new PrimitiveTypeInfo();
            tInfo.setTypeName(gen.getHCatType().name().toLowerCase());
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            break;
          case VARCHAR:
            tInfo = new VarcharTypeInfo(gen.getHCatPrecision());
            break;
          case DECIMAL:
            tInfo = new DecimalTypeInfo(gen.getHCatPrecision(),
            gen.getHCatScale());
            break;
          default:
            tInfo = new PrimitiveTypeInfo();
            tInfo.setTypeName(gen.getHCatType().name().toLowerCase());
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            break;
          case VARCHAR:
            tInfo = new VarcharTypeInfo(gen.getHCatPrecision());
            break;
          case DECIMAL:
            tInfo = new DecimalTypeInfo(gen.getHCatPrecision(),
            gen.getHCatScale());
            break;
          default:
            tInfo = new PrimitiveTypeInfo();
            tInfo.setTypeName(gen.getHCatType().name().toLowerCase());
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            + " of class " + pigObj.getClass().getName(), PigHCatUtil.PIG_EXCEPTION_CODE);
        }
        return Boolean.parseBoolean( pigObj.toString() );
      case DECIMAL:
        BigDecimal bd = (BigDecimal)pigObj;
        DecimalTypeInfo dti = (DecimalTypeInfo)hcatFS.getTypeInfo();
        if(bd.precision() > dti.precision() || bd.scale() > dti.scale()) {
          handleOutOfRangeValue(pigObj, hcatFS);
          return null;
        }
        return HiveDecimal.create(bd);
      case CHAR:
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  private final int precision;
  private final int scale;

  public LazyHiveDecimal(LazyHiveDecimalObjectInspector oi) {
    super(oi);
    DecimalTypeInfo typeInfo = (DecimalTypeInfo)oi.getTypeInfo();
    if (typeInfo == null) {
      throw new RuntimeException("Decimal type used without type params");
    }

    precision = typeInfo.precision();
    scale = typeInfo.scale();
    data = new HiveDecimalWritable();
  }
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  public HiveDecimalWritable getWritableConstantValue() {
    // We need to enforce precision/scale here.
    // A little inefficiency here as we need to create a HiveDecimal instance from the writable and
    // recreate a HiveDecimalWritable instance on the HiveDecimal instance. However, we don't know
    // the precision/scale of the original writable until we get a HiveDecimal instance from it.
    DecimalTypeInfo decTypeInfo = (DecimalTypeInfo)typeInfo;
    HiveDecimal dec = value == null ? null :
      value.getHiveDecimal(decTypeInfo.precision(), decTypeInfo.scale());
    if (dec == null) {
      return null;
    }
    return new HiveDecimalWritable(dec);
  }
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  private int scale;

  LazyBinaryHiveDecimal(WritableHiveDecimalObjectInspector oi) {
    super(oi);

    DecimalTypeInfo typeInfo = (DecimalTypeInfo) oi.getTypeInfo();
    this.precision = typeInfo.precision();
    this.scale = typeInfo.scale();
    data = new HiveDecimalWritable();
  }
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      return returnType;
    }
    PrimitiveTypeInfo ptinfo = (PrimitiveTypeInfo) inputTypeInfo;
    int precision = getPrecisionForType(ptinfo);
    int scale = HiveDecimalUtils.getScaleForType(ptinfo);
    return new DecimalTypeInfo(precision, scale);
  }
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    private void initPartialResultInspector() {
      // the output type of the vectorized partial aggregate must match the
      // expected type for the row-mode aggregation
      // For decimal, the type is "same number of integer digits and 4 more decimal digits"
     
      DecimalTypeInfo dtiSum = GenericUDAFAverage.deriveSumFieldTypeInfo(inputPrecision, inputScale);
      this.sumScale = (short) dtiSum.scale();
      this.sumPrecision = (short) dtiSum.precision();
     
      List<ObjectInspector> foi = new ArrayList<ObjectInspector>();
      foi.add(PrimitiveObjectInspectorFactory.writableLongObjectInspector);
      foi.add(PrimitiveObjectInspectorFactory.getPrimitiveWritableObjectInspector(dtiSum));
      List<String> fname = new ArrayList<String>();
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  }

  @Override
  public void init(AggregationDesc desc) throws HiveException {
    ExprNodeDesc inputExpr = desc.getParameters().get(0);
    DecimalTypeInfo tiInput = (DecimalTypeInfo) inputExpr.getTypeInfo();
    this.inputScale = (short) tiInput.scale();
    this.inputPrecision = (short) tiInput.precision();

    initPartialResultInspector();
  }
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