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

Examples of org.apache.hadoop.hive.serde2.typeinfo.DecimalTypeInfo.precision()

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          serdeConstants.VARCHAR_TYPE_NAME)) {
        return Types.optional(PrimitiveTypeName.BINARY).as(OriginalType.UTF8)
            .named(name);
      } else if (typeInfo instanceof DecimalTypeInfo) {
        DecimalTypeInfo decimalTypeInfo = (DecimalTypeInfo) typeInfo;
        int prec = decimalTypeInfo.precision();
        int scale = decimalTypeInfo.scale();
        int bytes = ParquetHiveSerDe.PRECISION_TO_BYTE_COUNT[prec - 1];
        return Types.optional(PrimitiveTypeName.FIXED_LEN_BYTE_ARRAY).length(bytes).as(OriginalType.DECIMAL).
            scale(scale).precision(prec).named(name);
      } else if (typeInfo.equals(TypeInfoFactory.unknownTypeInfo)) {
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            type.setKind(OrcProto.Type.Kind.DATE);
            break;
          case DECIMAL:
            DecimalTypeInfo decTypeInfo = (DecimalTypeInfo)((PrimitiveObjectInspector)treeWriter.inspector).getTypeInfo();
            type.setKind(OrcProto.Type.Kind.DECIMAL);
            type.setPrecision(decTypeInfo.precision());
            type.setScale(decTypeInfo.scale());
            break;
          default:
            throw new IllegalArgumentException("Unknown primitive category: " +
              ((PrimitiveObjectInspector) treeWriter.inspector).
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    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();
  }

  public LazyHiveDecimal(LazyHiveDecimal copy) {
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      case BOOLEAN:
        schema = Schema.create(Schema.Type.BOOLEAN);
        break;
      case DECIMAL:
        DecimalTypeInfo decimalTypeInfo = (DecimalTypeInfo) typeInfo;
        String precision = String.valueOf(decimalTypeInfo.precision());
        String scale = String.valueOf(decimalTypeInfo.scale());
        schema = AvroSerdeUtils.getSchemaFor("{" +
            "\"type\":\"bytes\"," +
            "\"logicalType\":\"decimal\"," +
            "\"precision\":" + precision + "," +
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        throw new SerDeException("Failed to encode string in UTF-8", e);
      }
    case DECIMAL:
      HiveDecimal hd = (HiveDecimal)inspector.getPrimitiveJavaObject(obj);
      DecimalTypeInfo decTypeInfo = (DecimalTypeInfo) inspector.getTypeInfo();
      int prec = decTypeInfo.precision();
      int scale = decTypeInfo.scale();
      byte[] src = hd.setScale(scale).unscaledValue().toByteArray();
      // Estimated number of bytes needed.
      int bytes =  PRECISION_TO_BYTE_COUNT[prec - 1];
      if (bytes == src.length) {
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      convertedType = dtFactory.createSqlType(SqlTypeName.BINARY);
      break;
    case DECIMAL:
      DecimalTypeInfo dtInf = (DecimalTypeInfo) type;
      convertedType = dtFactory
          .createSqlType(SqlTypeName.DECIMAL, dtInf.precision(), dtInf.scale());
      break;
    case VARCHAR:
      convertedType = dtFactory.createSqlType(SqlTypeName.VARCHAR,
          ((BaseCharTypeInfo) type).getLength());
      break;
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            result.cols[j] = new BytesColumnVector(VectorizedRowBatch.DEFAULT_SIZE);
            break;
          case DECIMAL:
            DecimalTypeInfo tInfo = (DecimalTypeInfo) poi.getTypeInfo();
            result.cols[j] = new DecimalColumnVector(VectorizedRowBatch.DEFAULT_SIZE,
                tInfo.precision(), tInfo.scale());
            break;
          default:
            throw new RuntimeException("Vectorizaton is not supported for datatype:"
                + poi.getPrimitiveCategory());
          }
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          cvList.add(new BytesColumnVector(VectorizedRowBatch.DEFAULT_SIZE));
          break;
        case DECIMAL:
          DecimalTypeInfo tInfo = (DecimalTypeInfo) poi.getTypeInfo();
          cvList.add(new DecimalColumnVector(VectorizedRowBatch.DEFAULT_SIZE,
              tInfo.precision(), tInfo.scale()));
          break;
        default:
          throw new HiveException("Vectorizaton is not supported for datatype:"
              + poi.getPrimitiveCategory());
        }
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      // 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();
  }

  public VectorExpression getInputExpression() {
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