Examples with ColumnarLongs org.apache.druid.segment.data.ColumnarLongs used on opensource projects

Example 6 with ColumnarLongs

use of org.apache.druid.segment.data.ColumnarLongs in project druid by druid-io.

the class ColumnarLongsSelectRowsFromSegmentBenchmark method setupFromFile.

private void setupFromFile(String encoding) throws IOException {
    File dir = getTmpDir();
    File compFile = new File(dir, getColumnEncodedFileName(encoding, segmentName, columnName));
    ByteBuffer buffer = Files.map(compFile);
    int size = (int) compFile.length();
    encodedSize.put(encoding, size);
    ColumnarLongs data = BaseColumnarLongsBenchmark.createColumnarLongs(encoding, buffer);
    decoders.put(encoding, data);
}

Example 7 with ColumnarLongs

use of org.apache.druid.segment.data.ColumnarLongs in project druid by druid-io.

the class BaseColumnarLongsBenchmark method scanVectorized.

void scanVectorized(Blackhole blackhole) {
    EncodingSizeProfiler.encodedSize = encodedSize.get(encoding);
    ColumnarLongs columnDecoder = decoders.get(encoding);
    long[] vector = new long[VECTOR_SIZE];
    while (!vectorOffset.isDone()) {
        if (vectorOffset.isContiguous()) {
            columnDecoder.get(vector, vectorOffset.getStartOffset(), vectorOffset.getCurrentVectorSize());
        } else {
            columnDecoder.get(vector, vectorOffset.getOffsets(), vectorOffset.getCurrentVectorSize());
        }
        for (int i = 0; i < vectorOffset.getCurrentVectorSize(); i++) {
            blackhole.consume(vector[i]);
        }
        vectorOffset.advance();
    }
    blackhole.consume(vector);
    blackhole.consume(vectorOffset);
    vectorOffset.reset();
    columnDecoder.close();
}

Example 8 with ColumnarLongs

use of org.apache.druid.segment.data.ColumnarLongs in project druid by druid-io.

the class LongCompressionBenchmark method readSkipping.

@Benchmark
public void readSkipping(Blackhole bh) {
    ColumnarLongs columnarLongs = supplier.get();
    int count = columnarLongs.size();
    for (int i = 0; i < count; i += ThreadLocalRandom.current().nextInt(2000)) {
        bh.consume(columnarLongs.get(i));
    }
    columnarLongs.close();
}