Examples with HDF5LongDataWriter org.apache.drill.exec.store.hdf5.writers.HDF5LongDataWriter used on opensource projects

Example 1 with HDF5LongDataWriter

use of org.apache.drill.exec.store.hdf5.writers.HDF5LongDataWriter in project drill by apache.

the class HDF5BatchReader method buildSchemaFor2DimensionalDataset.

/**
 * Builds a Drill schema from a dataset with 2 or more dimensions. HDF5 only
 * supports INT, LONG, DOUBLE and FLOAT for >2 data types so this function is
 * not as inclusive as the 1D function. This function will build the schema
 * by adding DataWriters to the dataWriters array.
 *
 * @param dataset
 *          The dataset which Drill will use to build a schema
 */
private void buildSchemaFor2DimensionalDataset(Dataset dataset) {
    MinorType currentDataType = HDF5Utils.getDataType(dataset.getDataType());
    // Case for null or unknown data types:
    if (currentDataType == null) {
        logger.warn("Couldn't add {}", dataset.getJavaType().getName());
        return;
    }
    long cols = dimensions[1];
    String tempFieldName;
    for (int i = 0; i < cols; i++) {
        switch(currentDataType) {
            case INT:
                tempFieldName = INT_COLUMN_PREFIX + i;
                dataWriters.add(new HDF5IntDataWriter(hdfFile, writerSpec, readerConfig.defaultPath, tempFieldName, i));
                break;
            case BIGINT:
                tempFieldName = LONG_COLUMN_PREFIX + i;
                dataWriters.add(new HDF5LongDataWriter(hdfFile, writerSpec, readerConfig.defaultPath, tempFieldName, i));
                break;
            case FLOAT8:
                tempFieldName = DOUBLE_COLUMN_PREFIX + i;
                dataWriters.add(new HDF5DoubleDataWriter(hdfFile, writerSpec, readerConfig.defaultPath, tempFieldName, i));
                break;
            case FLOAT4:
                tempFieldName = FLOAT_COLUMN_PREFIX + i;
                dataWriters.add(new HDF5FloatDataWriter(hdfFile, writerSpec, readerConfig.defaultPath, tempFieldName, i));
                break;
            default:
                throw new UnsupportedOperationException(currentDataType.name());
        }
    }
}