Examples with OrcColumnarRowSplitReader org.apache.flink.orc.OrcColumnarRowSplitReader used on opensource projects

Example 1 with OrcColumnarRowSplitReader

use of org.apache.flink.orc.OrcColumnarRowSplitReader in project flink by apache.

the class OrcNoHiveSplitReaderUtil method genPartColumnarRowReader.

/**
 * Util for generating partitioned {@link OrcColumnarRowSplitReader}.
 */
public static OrcColumnarRowSplitReader<VectorizedRowBatch> genPartColumnarRowReader(Configuration conf, String[] fullFieldNames, DataType[] fullFieldTypes, Map<String, Object> partitionSpec, int[] selectedFields, List<OrcFilters.Predicate> conjunctPredicates, int batchSize, Path path, long splitStart, long splitLength) throws IOException {
    List<String> nonPartNames = getNonPartNames(fullFieldNames, partitionSpec);
    int[] selectedOrcFields = getSelectedOrcFields(fullFieldNames, selectedFields, nonPartNames);
    OrcColumnarRowSplitReader.ColumnBatchGenerator<VectorizedRowBatch> gen = (VectorizedRowBatch rowBatch) -> {
        // create and initialize the row batch
        ColumnVector[] vectors = new ColumnVector[selectedFields.length];
        for (int i = 0; i < vectors.length; i++) {
            String name = fullFieldNames[selectedFields[i]];
            LogicalType type = fullFieldTypes[selectedFields[i]].getLogicalType();
            vectors[i] = partitionSpec.containsKey(name) ? createFlinkVectorFromConstant(type, partitionSpec.get(name), batchSize) : createFlinkVector(rowBatch.cols[nonPartNames.indexOf(name)]);
        }
        return new VectorizedColumnBatch(vectors);
    };
    return new OrcColumnarRowSplitReader<>(new OrcNoHiveShim(), conf, convertToOrcTypeWithPart(fullFieldNames, fullFieldTypes, partitionSpec.keySet()), selectedOrcFields, gen, conjunctPredicates, batchSize, path, splitStart, splitLength);
}