Examples of org.apache.cassandra.io.util.DataOutputBuffer.toByteArray()

Class org.apache.cassandra.io.util.DataOutputBuffer

Examples of org.apache.cassandra.io.util.DataOutputBuffer.toByteArray()

org.apache.cassandra.io.util.DataOutputBuffer.toByteArray()

        {
            DataOutputBuffer out = new DataOutputBuffer();
            DeletionTime.serializer.serialize(cf.deletionInfo().getTopLevelDeletion(), out);
            out.writeInt(cf.getColumnCount());
            new ColumnIndex.Builder(cf, ByteBufferUtil.EMPTY_BYTE_BUFFER, out).build(cf);
            return ByteBuffer.wrap(out.toByteArray());
        }
        catch (IOException e)
        {
            throw new RuntimeException(e);
        }

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        {
            DataOutputBuffer out = new DataOutputBuffer();
            DeletionTime.serializer.serialize(cf.deletionInfo().getTopLevelDeletion(), out);
            out.writeInt(cf.getColumnCount());
            new ColumnIndex.Builder(cf, ByteBufferUtil.EMPTY_BYTE_BUFFER, out).build(cf);
            return ByteBuffer.wrap(out.toByteArray());
        }
        catch (IOException e)
        {
            throw new RuntimeException(e);
        }

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    {
        DataOutputBuffer out = new DataOutputBuffer();
        ByteBufferUtil.writeWithLength(bb, out);
        ByteBufferUtil.writeWithShortLength(bb, out);


        DataInputStream in = new DataInputStream(new ByteArrayInputStream(out.toByteArray()));
        assert bb.equals(ByteBufferUtil.readWithLength(in));
        assert bb.equals(ByteBufferUtil.readWithShortLength(in));
    }


    @Test

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        DataOutputBuffer out = new DataOutputBuffer();


        serializer.serialize(it, out, 0);


        DataInputStream in = new DataInputStream(new ByteArrayInputStream(out.toByteArray()));


        IntervalTree<Integer, String, Interval<Integer, String>> it2 = serializer.deserialize(in, 0);
        List<Interval<Integer, String>> intervals2 = new ArrayList<Interval<Integer, String>>();
        for (Interval<Integer, String> i : it2)
            intervals2.add(i);

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        {
            DataOutputBuffer out = new DataOutputBuffer();
            DeletionTime.serializer.serialize(cf.deletionInfo().getTopLevelDeletion(), out);
            out.writeInt(cf.getColumnCount());
            new ColumnIndex.Builder(cf, ByteBufferUtil.EMPTY_BYTE_BUFFER, out).build(cf);
            return ByteBuffer.wrap(out.toByteArray());
        }
        catch (IOException e)
        {
            throw new RuntimeException(e);
        }

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        byte[] initialhash = mt.hash(full);


        DataOutputBuffer out = new DataOutputBuffer();
        MerkleTree.serializer.serialize(mt, out, MessagingService.current_version);
        byte[] serialized = out.toByteArray();


        ByteArrayDataInput in = ByteStreams.newDataInput(serialized);
        MerkleTree restored = MerkleTree.serializer.deserialize(in, MessagingService.current_version);


        assertHashEquals(initialhash, restored.hash(full));

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        IndexSummary.serializer.serialize(random.right, dos, false);
        // write junk
        dos.writeUTF("JUNK");
        dos.writeUTF("JUNK");
        FileUtils.closeQuietly(dos);
        DataInputStream dis = new DataInputStream(new ByteArrayInputStream(dos.toByteArray()));
        IndexSummary is = IndexSummary.serializer.deserialize(dis, DatabaseDescriptor.getPartitioner(), false, 1, 1);
        for (int i = 0; i < 100; i++)
            assertEquals(i, is.binarySearch(random.left.get(i)));
        // read the junk
        assertEquals(dis.readUTF(), "JUNK");

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        assertEquals(0, summary.getPosition(0));
        assertArrayEquals(new byte[0], summary.getKey(0));


        DataOutputBuffer dos = new DataOutputBuffer();
        IndexSummary.serializer.serialize(summary, dos, false);
        DataInputStream dis = new DataInputStream(new ByteArrayInputStream(dos.toByteArray()));
        IndexSummary loaded = IndexSummary.serializer.deserialize(dis, p, false, 1, 1);


        assertEquals(1, loaded.size());
        assertEquals(summary.getPosition(0), loaded.getPosition(0));
        assertArrayEquals(summary.getKey(0), summary.getKey(0));

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            hist.update(samples[i]);
        }


        DataOutputBuffer out = new DataOutputBuffer();
        StreamingHistogram.serializer.serialize(hist, out);
        byte[] bytes = out.toByteArray();


        StreamingHistogram deserialized = StreamingHistogram.serializer.deserialize(new DataInputStream(new ByteArrayInputStream(bytes)));


        // deserialized histogram should have following values
        Map<Double, Long> expected1 = new LinkedHashMap<Double, Long>(5);

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