Examples with NanoTime org.apache.hadoop.hive.ql.io.parquet.timestamp.NanoTime used on opensource projects

Example 1 with NanoTime

use of org.apache.hadoop.hive.ql.io.parquet.timestamp.NanoTime in project hive by apache.

the class VectorizedPrimitiveColumnReader method decodeDictionaryIds.

/**
   * Reads `num` values into column, decoding the values from `dictionaryIds` and `dictionary`.
   */
private void decodeDictionaryIds(int rowId, int num, ColumnVector column, LongColumnVector dictionaryIds) {
    System.arraycopy(dictionaryIds.isNull, rowId, column.isNull, rowId, num);
    if (column.noNulls) {
        column.noNulls = dictionaryIds.noNulls;
    }
    column.isRepeating = column.isRepeating && dictionaryIds.isRepeating;
    switch(descriptor.getType()) {
        case INT32:
            for (int i = rowId; i < rowId + num; ++i) {
                ((LongColumnVector) column).vector[i] = dictionary.decodeToInt((int) dictionaryIds.vector[i]);
            }
            break;
        case INT64:
            for (int i = rowId; i < rowId + num; ++i) {
                ((LongColumnVector) column).vector[i] = dictionary.decodeToLong((int) dictionaryIds.vector[i]);
            }
            break;
        case FLOAT:
            for (int i = rowId; i < rowId + num; ++i) {
                ((DoubleColumnVector) column).vector[i] = dictionary.decodeToFloat((int) dictionaryIds.vector[i]);
            }
            break;
        case DOUBLE:
            for (int i = rowId; i < rowId + num; ++i) {
                ((DoubleColumnVector) column).vector[i] = dictionary.decodeToDouble((int) dictionaryIds.vector[i]);
            }
            break;
        case INT96:
            final Calendar calendar;
            if (Strings.isNullOrEmpty(this.conversionTimeZone)) {
                // Local time should be used if no timezone is specified
                calendar = Calendar.getInstance();
            } else {
                calendar = Calendar.getInstance(TimeZone.getTimeZone(this.conversionTimeZone));
            }
            for (int i = rowId; i < rowId + num; ++i) {
                ByteBuffer buf = dictionary.decodeToBinary((int) dictionaryIds.vector[i]).toByteBuffer();
                buf.order(ByteOrder.LITTLE_ENDIAN);
                long timeOfDayNanos = buf.getLong();
                int julianDay = buf.getInt();
                NanoTime nt = new NanoTime(julianDay, timeOfDayNanos);
                Timestamp ts = NanoTimeUtils.getTimestamp(nt, calendar);
                ((TimestampColumnVector) column).set(i, ts);
            }
            break;
        case BINARY:
        case FIXED_LEN_BYTE_ARRAY:
            if (column instanceof BytesColumnVector) {
                for (int i = rowId; i < rowId + num; ++i) {
                    ((BytesColumnVector) column).setVal(i, dictionary.decodeToBinary((int) dictionaryIds.vector[i]).getBytesUnsafe());
                }
            } else {
                DecimalColumnVector decimalColumnVector = ((DecimalColumnVector) column);
                decimalColumnVector.precision = (short) type.asPrimitiveType().getDecimalMetadata().getPrecision();
                decimalColumnVector.scale = (short) type.asPrimitiveType().getDecimalMetadata().getScale();
                for (int i = rowId; i < rowId + num; ++i) {
                    decimalColumnVector.vector[i].set(dictionary.decodeToBinary((int) dictionaryIds.vector[i]).getBytesUnsafe(), decimalColumnVector.scale);
                }
            }
            break;
        default:
            throw new UnsupportedOperationException("Unsupported type: " + descriptor.getType());
    }
}